Topic:"Energy Efficiency" in M12780

2 1.1 APPROVAL OF 2027–2031 DSM RESOURCE PLAN - 3 EfficiencyOne ("E1") requests approval by the Nova Scotia Energy Board (the "Energy Board" or "NSEB") - 4 of its Demand Side Management ("DSM") Resource Plan ("DSM Plan") for the term 2027...

AI summary EfficiencyOne (E1) seeks approval from the Nova Scotia Energy Board (NSEB) for its 2027–2031 Demand-Side Management (DSM) Resource Plan, aiming to reduce electricity costs for customers. The plan aligns with NSEB's 2025 decision on DSM's statutory purpose, emphasizing affordability, energy savings, and climate goals through programs and cost-benefit analysis.

2031 DSM Plan satisfies all requirements of section 79I: (a) it is for a term of five years (2027–2031); (b) it describes in detail the DSM that E1 will provide to NS Power, as set out in Appendix A; - (c) it identifies the amount NS Power...

AI summary The 2031 DSM Plan meets statutory requirements under section 79I, including a five-year term, detailed DSM provisions, payment terms, and alignment with the draft Purchase Agreement. The Preferred Plan is argued to benefit customers through cost-effective energy savings, affordability, equity, and alignment with the Integrated Resource Plan (IRP), while avoiding costly supply-side alternatives.

2.3.1 THE 2022 INTEGRATED RESOURCE PLAN - The Standardized Filing Framework directs that the Resource Plan identified in NS Power's Integrated - Resource Plan ("IRP") will serve to inform the development of a Preferred DSM Plan by E1. The...

AI summary NS Power's 2022 Evergreen IRP includes 683.1 GWh energy savings and 123.9 MW demand savings through 2031. E1 must balance long-term DSM benefits with short-term affordability, guided by the 2016 Consensus Agreement and referenced decisions (M07543, M10473, M12249).

3.2 ENERGY EFFICIENCY: SETTING APPROPRIATE LEVEL OF ENERGY SAVINGS E1 established energy savings levels by balancing IRP guidance, cost‑effectiveness, delivery capacity, and affordability. The Preferred Plan reflects a continuation and evo...

AI summary E1 set energy savings at 0.8% of NS Power's load, balancing affordability, cost-effectiveness, and sector allocation. This aligns with APEX's jurisdictional scan and the 2023-2026 DSM Plan. The Preferred Plan allocates 29%/71% to residential/BNI sectors, with 11% of residential savings directed to low-income programs, consistent with prior targets.

Deferred Matters, Consensus Agreement, Appendix 1: Standardized Filing Framework, July 22, 2016. identified in NS Power's 2022 IRP Evergreen established an objective DSM target which is considered to provide the greatest benefits to Nova S...

AI summary The document discusses NS Power's 2022 IRP Evergreen setting DSM energy savings targets (683.1 GWh, 123.9 MW demand savings) for 2027–2031. E1 supports these targets as stakeholder-aligned and cost-effective, but adjusted scenarios to address DSMAG concerns about short-term affordability. E1's preferred plan prioritizes affordability while maintaining energy efficiency as a lower-cost option than supply-side alternatives.

25 In addition to reducing total investment through prioritization, E1 has responded to DSMAG member 26 comments regarding Enabling Strategies. Specifically, E1 heard that there was a desire to better - 1 understand the goals and objective...

AI summary E1 has responded to feedback from the DSMAG regarding Enabling Strategies by introducing measures of success for education and outreach activities and an Innovation Framework for 2027–2031. E1 argues that eliminating Enabling Strategies would weaken its ability to develop and deliver effective DSM programs, reduce program reach, and hinder strategic management of the DSM portfolio.

21 Table 6: Preferred Plan – Average Rate Impacts by Resource over 2027-2046 Residential Small General General Large General Small Industrial Medium Industrial Large Industrial Municipal DSM (All Resources) 0.58% 0.88% 0.74% 0.33% 0.76% -0...

AI summary Table 6 presents the average rate impacts by resource over the period 2027-2046 for various customer classes. The table highlights the impact of different resources such as DSM, Energy Efficiency, Demand Response, and Solar-PV on residential, small general, general, large general, small industrial, medium industrial, large industrial, and municipal customers.

3 5. THE BALANCED PLAN APPROACH - 4 The portfolio was developed in accordance with the "Balanced Plan Approach" outlined in the - 5 Standardized Filing Framework, which directs E1 to "produce DSM Resource Plans that balance multiple - 6 as...

AI summary E1 developed a portfolio under the 'Balanced Plan Approach' to balance DSM aspects, achieving 435.4 GWh energy savings, 85.0 MW demand savings, and other metrics by 2031. Principles include energy/capacity avoidance, cost efficiency, non-electric benefits, and equitable access. The plan emphasizes value for Nova Scotians through diversified programs and market engagement.

ficiency measures, which is increasingly important in the current economic context. Several factors have contributed to changes in unit delivery costs between the 2023–2026 and 2027–2031 Plan periods: - (a) The conclusion of the federal go...

AI summary The document outlines factors increasing DSM program delivery costs between 2023–2026 and 2027–2031, including the end of federal grants, shifts to complex measures, inflation, and reduced savings from heat pump evaluations. E1's increased incentives and economic pressures are highlighted as key drivers.

5.3 AVOIDED ENERGY AND CAPACITY INVESTMENTS - DSM provides value to ratepayers in part by avoiding investments associated with supply side resources. - In Nova Scotia, the following categories of avoided system costs are applied to DSM: -...

AI summary Demand-Side Management (DSM) in Nova Scotia avoids energy and capacity investments by reducing demand. The Preferred Plan emphasizes energy efficiency, demand response, and solar-PV initiatives. Categories of avoided costs include energy, capacity, transmission, and distribution. EfficiencyOne (E1) expanded demand response programs to address NS Power's growing demand.

DIVERSE MEASURES - The Preferred Plan continues to evolve E1's measure mix. The Plan features 341 measures, and 11 - energy efficiency program components, and 2 demand response program components and one solar-PV - program component.

AI summary The Preferred Plan includes 341 measures, with 11 energy efficiency programs, 2 demand response programs, and 1 solar-PV program. E1's measure mix is evolving to incorporate diverse initiatives under the Nova Scotia regulatory framework.

DIVERSE STRATEGIES - The Preferred Plan includes diverse strategies recognizing that no single delivery model effectively - reaches the full range of customers, market sectors, and technologies served by DSM. The portfolio - incorporates a...

AI summary The Preferred Plan employs diverse DSM strategies, combining delivery models like turn-key partnerships, contractor-based delivery, and market-enabled offerings. It includes technical support, rebates, direct installation, and self-serve options. The heat pump water heater pilot is part of Enabling Strategies to support E1's model through 2031. 2023-2025 results and the 2026 Plan are referenced with residential behavior savings removed.

Table 7: 2027–2031 Plan - Portfolio Level Insights Insights 2027–2031 Energy Efficiency Energy Savings as % of NS Power Load 0.8% Energy Savings (EE) Split (RES/BNI) 29/71 Demand Savings (EE) Split (RES/BNI) 44/56 Dedicated Low-Income & Eq...

AI summary Table 7 provides insights into the 2027–2031 plan, highlighting energy efficiency savings, demand response capacity, solar-PV generation, and associated costs and benefits. It includes metrics such as energy savings percentages, unit costs, and CO₂e savings across residential and BNI (Business and Non-Industrial) sectors.

5 Program Program Component Changes from 2023–2026 Plan 2027–2031 Status Residential Efficient Product Rebates Appliance Retirement • Component ended in 2025 following declining savings, rising delivery costs, and limited availability of s...

AI summary The document outlines changes to residential energy efficiency programs in Nova Scotia, including the retirement of the Appliance Retirement component, modifications to the Instant Savings program, and updates to the Affordable Multifamily Housing and Efficient Product Installation programs. These changes reflect adjustments in incentive levels, expansion of rebate categories, and enhancements to customer experience.

5 9.1 OVERVIEW - Pursuant to the NSUARB directive,[27](#page-73-4) 6 E1 is required to file one or more alternate scenarios (the "Alternate - 7 Scenario") in addition to its Preferred Plan filing. In the stakeholder engagement process prec...

AI summary E1 is required by the NSUARB to file an Alternate Scenario as part of its Preferred Plan, incorporating energy efficiency, demand response, solar-PV, and strategic electrification. Stakeholders emphasized addressing short-term affordability impacts, prompting E1 to provide a fully costed DSM scenario.

9.2 SCENARIO IN ACCORDANCE WITH THE STANDARDIZED FILING REQUIREMENTS. The Alternate Scenario represents a total investment in energy efficiency, demand response and solar PV of $308.4 million over the 2027–2031 DSM Plan. The design approac...

AI summary The Alternate Scenario invests $308.4 million in energy efficiency, demand response, and solar PV from 2027–2031. It maintains low-income and equity-focused investments while eliminating the Eco Shift program to address cost-effectiveness concerns and balance DSMAG perspectives.

s near-term affordability with long-term value by constraining investment to 2026 levels, during a period of significant cost-of-living challenges for Nova Scotians; 6 transmission, and distribution; - 1 (c) provides equitable access to DS...

AI summary The Preferred Plan ensures near-term affordability and long-term value by limiting investments to 2026 levels, promoting equitable DSM benefits across customer classes, achieving energy savings below supply-side costs, and aligning with NS Power's IRP. It complies with ERBA and NSEB directives, supporting competition, innovation, and GHG emission reductions through energy efficiency and strategic electrification.

GLOSSARY OF TERMS Term Definition Alternate Scenario E1 provides one or more alternate scenario(s) with the same portfolio-level metrics as E1's proposed DSM Resource Plan (i.e., the Preferred Plan). Available Demand Response Capacity The...

AI summary The glossary defines key terms related to demand-side management (DSM) and energy efficiency programs, including alternate scenarios, demand response capacity, balance adjustments, and baseline measurements. These definitions are relevant to the regulatory process and program implementation.

1.2 REPORT ORGANIZATION - Appendix A provides the following: - overview of the development of the Preferred Plan including approach and methodology; - overview of the proposed portfolio and program targets, investment levels, and performan...

AI summary The report outlines its organizational structure, detailing sections covering DSM plan results, development approaches, portfolio overviews, program descriptions, enabling strategies, performance metrics, and reporting. Appendix A includes the Preferred Plan's methodology, program targets, and a DSM Purchase Agreement under the PUA. Sections 2–13 provide historical data, plan development, program specifics, and evaluation frameworks for 2027–2031.

7 2. PREVIOUS DSM PLAN RESULTS

AI summary The section reviews outcomes of past Demand Side Management (DSM) plans, focusing on energy efficiency, cost recovery mechanisms, and compliance with regulatory frameworks. It highlights metrics, challenges, and alignment with Nova Scotia's energy policies.

8 2.1 2023–2026 DSM PLAN 9 E1's current approved DSM Plan (2023–2026) provides for the delivery of DSM programs through the end of 2026. [1](#page-90-2) With three of the four Plan years now complete, E1 has made substantial progress towar...

AI summary E1 has made significant progress towards its 2023–2026 DSM Plan performance targets, achieving 82% of energy savings, 84% of demand savings, and 84% of energy savings for affordable housing and Mi'kmaw projects. The 2026 DSM Extension is expected to help achieve 90% compliance for all targets by December 31, 2026.

1 2.2.1 ENERGY AND DEMAND SAVINGS 2 Energy and demand savings in 2023 and 2024 exceeded the approved Plan, resulting in significant 3 progress towards the approved four-year Plan performance targets. This overachievement was driven 4 prima...

AI summary Energy and demand savings in 2023–2024 exceeded approved targets due to the Canada Greener Homes Grant and LED rebate campaigns. Savings declined in 2025 due to baseline changes and program closures. The 2026 DSM Extension expects lower savings, driven by non-lighting measures and reduced Home Energy Assessment participation.

2.2.3 PROGRAM ADJUSTMENTS In 2025, E1 ended two program components - Green Heat and Appliance Retirement. Green Heat continued to experience a steady decline in participation and energy savings in 2025, consistent with trends observed in 2...

AI summary E1 ended two programs in 2025: Green Heat and Appliance Retirement. Green Heat's decline was due to the Canada Greener Homes Grant and reduced savings from DSM evaluations. Appliance Retirement closed due to rising costs, declining savings from newer units, and limited service providers. Deadlines were December 31, 2025 for Green Heat and January 8, 2025 for Appliance Retirement.

2.2.4 LOW-INCOME AND EQUITY ENERGY SAVINGS The performance target of energy savings applicable to E1's dedicated low-income and equity program components (i.e., Affordable Multifamily Housing, Affordable Single-family Homes, and the Mi'kma...

AI summary E1's low-income and equity energy savings programs faced challenges in meeting 2023 targets due to capacity constraints and software modeling updates. Adjustments in 2024 and 2025, including increased participation and process improvements, led to progress toward the 2023–2026 performance target, with expectations to meet it by 2026.

2.2.6 UNIT COST RESULTS Unit cost data is a calculation output reflecting E1's investment and energy savings over a defined time period. Actual results for the 2023–2025 period show a portfolio-level unit cost of $0.37/kWh, slightly lower...

AI summary The 2023–2025 unit cost for E1's energy efficiency programs was slightly lower than the approved plan, but residential unit costs have risen due to the pause of the Residential Behaviour program and changes in program components. These trends are expected to continue into 2026 and influence the development of the 2027–2031 DSM Preferred Plan.

3 2.3 CUMULATIVE DSM SAVINGS AND INVESTMENT: 2012-2025 4 [Table 4,](#page-100-0) below, presents E1's cumulative DSM Plan savings and expenditures from 2012 to 2025 compared with the corresponding Board-approved Plans.[4](#page-99-2) 5 6 7...

AI summary This section discusses E1's cumulative DSM savings and investment from 2012 to 2025, noting that expenditures are 6% below the Board-approved investment, while energy and demand savings are 5% above the approved targets. Factors such as program mix and market conditions are cited as reasons for the underspend in earlier years.

3.2 PORTFOLIO DESIGN CONSIDERATIONS AND ASSUMPTIONS - E1 was guided by the following key considerations in developing the Preferred Plan: - cost-effectiveness; - determining appropriate energy and demand savings established using a percent...

AI summary E1's Preferred Plan prioritizes cost-effectiveness, achievable energy savings via a percent-of-load approach, support for Mi'kmaw communities post-2027, and balanced portfolio principles. Emphasis is on affordability, performance targets, and long-term ratepayer benefits through appropriate investment levels.

3.3.1.1 MODEL CONFIGURATION - At the outset of the modelling process, E1 and Guidehouse reviewed and confirmed the overall modelling - framework for the 2027–2031 DSM Resource Plan, and configured the following modelling tools - associated...

AI summary E1 and Guidehouse configured ProCESS™ and DRSim™ models for the 2027–2031 DSM Resource Plan, aligning with NSEB directives. Model updates ensured parameters, inputs, and methodologies met E1's planning requirements and regulatory standards.

22 Table 5: 2027–2031 DSM Preferred Plan Portfolio Level Insights Insights 2027–2031 Energy Efficiency Energy Savings as % of NS Power Load 0.8% Energy Savings (EE) Split (RES/BNI) 29/71 Demand Savings (EE) Split (RES/BNI) 44/56 Dedicated...

AI summary Table 5 provides insights into the 2027–2031 DSM Preferred Plan Portfolio, detailing energy efficiency and demand response metrics, including energy savings percentages, cost splits between RES and BNI, and unit costs for energy and demand savings.

68.2 1 Energy efficiency first-year and lifetime unit cost includes Enabling Strategies investment.

AI summary The text mentions that energy efficiency first-year and lifetime unit costs include Enabling Strategies investment. This indicates that the cost calculations for energy efficiency initiatives are factoring in investments related to enabling strategies.

4.2 PORTFOLIO KEY OBSERVATIONS

AI summary Section 4.2 discusses portfolio key observations related to energy management, regulatory frameworks, and programs in Nova Scotia. It references acronyms like DSM, PUA, NSEB, and NS Power, highlighting topics such as demand response, energy efficiency, and utility rate design.

1 Figure 1: 2027–2031 DSM Preferred Plan – Payback DSM investment includes EE, DR, Solar-PV and Enabling Strategies. Green bars are nominal investment. Blue bars are nominal avoided cost. Yellow line is a 2027 net present value (NPV) of th...

AI summary The 2027–2031 DSM Preferred Plan – Payback includes investments in Energy Efficiency (EE), Demand Response (DR), Solar-PV, and Enabling Strategies. Green bars represent nominal investment, blue bars show avoided costs, and the yellow line depicts NPV using NS Power's WACC. The analysis evaluates cost recovery and financial viability of DSM initiatives.

Table 8: 2027–2031 DSM Preferred Plan Savings and Investment by Program Component 2027-2031 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Availab...

AI summary Table 8 outlines the investment and benefits of various Demand Side Management (DSM) programs in Nova Scotia from 2027 to 2031, including energy savings, peak demand reductions, and program-specific metrics such as the Program Assessment Criteria (PAC).

- 4 Table 9: 2027 DSM Preferred Plan Savings and Investment by Program Component 2027 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Dem...

AI summary Table 9 presents the 2027 DSM Preferred Plan Savings and Investment by Program Component, showing details such as investment, lifetime benefits, energy savings, and other metrics for various residential energy efficiency programs in Nova Scotia.

Columns may not add correctly due to rounding. Currency is expressed in nominal dollars. For the five-year total row, currency is a straight sum of 5 years of nominal values. Lifetime benefits for energy efficiency, demand response and sol...

AI summary The document discusses the calculation of lifetime benefits for energy efficiency, demand response, and solar-PV programs using net present value of avoided costs. It also highlights the inclusion of low-income and equity impacts from both targeted and non-targeted programs.

Currency is expressed in nominal dollars. For the five-year total row, currency is a straight sum of 5 years of nominal values. Lifetime benefits for energy efficiency, demand response and solar-PV are expressed as the net present value of...

AI summary The text discusses the calculation of lifetime benefits for energy efficiency, demand response, and solar-PV programs, using net present value of avoided costs. It also mentions low-income and equity impacts from dedicated and incidental programs, citing specific initiatives such as Existing Residential, New Residential, and BNI Efficient Product Rebates.

1 Table 11: 2029 DSM Preferred Plan Savings and Investment by Program Component 2029 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Dema...

AI summary Table 11 presents the 2029 DSM Preferred Plan Savings and Investment by Program Component, outlining investments, benefits, energy savings, and other metrics for various programs such as Enabling Strategies, Energy Efficiency (EE), Demand Response (DR), and Solar-PV.

Currency is expressed in nominal dollars. For the five-year total row, currency is a straight sum of 5 years of nominal values. Lifetime benefits for energy efficiency, demand response and solar-PV are expressed as the net present value of...

AI summary The text discusses how lifetime benefits for energy efficiency, demand response, and solar-PV programs are calculated using net present value of avoided costs. It also highlights how low-income and equity impacts are assessed, considering both dedicated and incidental program participation.

Currency is expressed in nominal dollars. For the five-year total row, currency is a straight sum of 5 years of nominal values. Lifetime benefits for energy efficiency, demand response and solar-PV are expressed as the net present value of...

AI summary The text discusses the calculation of lifetime benefits for energy efficiency, demand response, and solar-PV programs using net present value and utility WACC. It also highlights the inclusion of low-income and equity impacts from both targeted and non-targeted programs.

1 Table 13: 2031 DSM Preferred Plan Savings and Investment by Program Component 2031 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Dema...

AI summary Table 13 outlines the 2031 DSM Preferred Plan savings and investment by program component, including investments, benefits, energy savings, and demand response capacity across various programs such as Enabling Strategies, Energy Efficiency, and Solar-PV.

1 4.5.1 LOW-INCOME AND EQUITY INVESTMENT AND SAVINGS - 2 E1's 2027–2031 DSM Preferred Plan includes dedicated program components that exclusively serve low- - 3 income and equity communities. These program components include Affordable Mul...

AI summary E1's 2027–2031 DSM Preferred Plan includes dedicated low-income and equity programs (e.g., Affordable Multifamily Housing, Mi'kmaw projects) accounting for 11% of residential savings. The Solar-PV program is also targeted at these communities. Incidental impacts from non-targeted programs like Efficient Product Installation are also noted, with details in Attachment 1 and Table 14.

Energy Efficiency The investment for energy efficiency is reflective of the costs E1 expects to incur to achieve the savings with the suite of programs included in the Preferred Plan. Investment levels in Residential sector programs repres...

AI summary E1's energy efficiency investment allocates 56% to residential programs (29% savings) and 44% to BNI programs (71% savings), reflecting a shift toward non-lighting measures post-2025 LED baseline. Savings decline from 2027-2031 due to Canada Greener Homes Grant closure and removal of Residential Behaviour. 2024 billing analyses further reduced residential savings.

1 4.6.2 UNIT COST - 2 Unit cost is a calculated output of E1's investment and savings over a defined time period. Factors that - 3 influence unit cost results typically include: - the level of participation in a program or program componen...

AI summary Unit cost for E1's energy efficiency programs is calculated based on factors like participation levels, measure mix, and cost changes. The projected 2027–2031 unit cost is $0.66/kWh, higher than the 2026 DSM Extension's $0.49/kWh.

15 Table 15: 2027–2031 DSM Preferred Plan Rate Class Savings and Expenditures 2027–2031 Rate Class Year First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Demand Response Capacity (MW) Generati...

AI summary Table 15 outlines projected energy savings, demand reductions, and expenditures for the 2027–2031 DSM Preferred Plan, categorized by rate class. It includes metrics like energy savings (GWh), peak demand savings (MW), and expenditures (in millions of dollars) for residential, small general, and general rate classes over the five-year period.

21 Awareness, Education and Participation - 22 Driving education of and participation in E1's energy efficiency, demand response, and solar-PV 23 programs. - 24 Increasing awareness of the E1 and Efficiency Nova Scotia brands as a trusted...

AI summary The text outlines strategies to enhance awareness and participation in E1's energy efficiency, demand response, and solar-PV programs. It emphasizes comprehensive marketing tactics, brand trust-building, and targeted outreach across customer sectors. The Efficiency Preferred Partner program's membership growth and education are also highlighted.

6. ENERGY EFFICIENCY DSM energy efficiency refers to delivering the same or improved level of service using less energy, resulting in measurable reductions in energy consumption while maintaining or improving performance. Natural Resources...

AI summary Energy efficiency programs, led by E1, focus on reducing energy consumption through initiatives like residential LED baselines and Mi'kmaw New Home Construction. The 2027–2031 DSM Plan includes enhanced incentives, expanded rebate categories, and program updates to address rising costs and evolving market needs.

6.1 RESIDENTIAL EFFICIENT PRODUCT REBATES PROGRAM - 6.1.1 OVERVIEW, OBJECTIVES, OPPORTUNITY - [Table 16](#page-133-0) provides a description of the Residential Efficient Product Rebates program for 2027–2031. DATE FILED: March 31, 2026 Pag...

AI summary The Residential Efficient Product Rebates Program (2027–2031) is outlined in Table 16. The document provides an overview of objectives and opportunities for residential energy efficiency initiatives, filed on March 31, 2026.

1 Table 16: Residential Efficient Product Rebates - Overview, Objectives, Opportunity Residential Efficient Product Rebates Overview • Provides customers access to financial incentives for various products through retailers and heating sys...

AI summary Table 16 outlines the Residential Efficient Product Rebates program, which provides financial incentives for energy-efficient products through retailers and installers. The program aims to increase accessibility, awareness, and adoption of energy-efficient technologies. Barriers include affordability, lack of awareness, and limited retailer participation. The program became part of E1's portfolio in 2010 and included Appliance Retirement until 2025.

1 Table 17: 2027–2031 Instant Savings Program Component Instant Savings Overview • Year-round point-of-sale rebates on eligible energy efficient products purchased through participating retailers and heating system contractors.

AI summary The Instant Savings Program offers year-round point-of-sale rebates on eligible energy-efficient products purchased through participating retailers and heating system contractors.

1 6.1.4 PROGRAM ALTERNATIVES - 2 The Residential Efficient Product Rebates program shows no difference in the Alternate Scenario when - 3 compared to the Preferred Plan. Therefore, there is no variance between the Preferred Plan and Altern...

AI summary The Residential Efficient Product Rebates program shows no variance between the Alternate Scenario and the Preferred Plan. Table 18 presents results for both scenarios, indicating no differences in program outcomes.

11 Table 19: Existing Residential - Overview, Objectives, Opportunity Existing Residential Overview • The program has five components: Affordable Multifamily Housing; o Affordable Single-family Homes; o Efficient Product Installation; o Ho...

AI summary The Existing Residential program has five components aimed at improving energy efficiency in homes, targeting homeowners, renters, low-income households, and affordable housing providers. It seeks to enhance customer understanding of energy efficiency, reduce energy costs, and support equity deserving communities and Mi'kmaw communities.

- 3 Existing Residential leverages a variety of design and delivery approaches to help customers implement - 4 energy efficiency improvements in their homes. These strategies include: - 5 project management support; - 6 turn-key direct ins...

AI summary The Existing Residential program uses various strategies such as project management support, direct installation, and whole building energy modelling to help customers implement energy efficiency improvements. Tables 20 to 25 summarize the five-year investment and savings for each program component.

1 Table 20: 2027–2031 Affordable Multifamily Housing Affordable Multifamily Housing 2031 Total 8.6 1.5 1.1 475 2027–2031 Total 43.7 8.3 6.0 2,675 Overview • Provides a fully project-managed, whole-home retrofit service at no cost to income...

AI summary Table 20 outlines the 2027–2031 Affordable Multifamily Housing initiative, providing a fully project-managed, whole-home retrofit service at no cost to income-qualified Nova Scotians, marketed as HomeWarming.

1 Table 24: 2027–2031 Mi'kmaw Home Energy Efficiency Project Program Component Mi'kmaw Home Energy Efficiency Project Overview • communities in Nova Scotia. A whole-home retrofit service provided at no-cost to all homes in Mi'kmaw

AI summary This table outlines the Mi'kmaw Home Energy Efficiency Project, a whole-home retrofit service provided at no-cost to all homes in Mi'kmaw communities in Nova Scotia.

Participation is the number of homes in Affordable Single-family Homes, Home Energy Assessment and Mi'kmaw Home Energy Efficiency Project; the number of products in Efficient Product Installation; and the number of projects in Affordable M...

AI summary The text provides participation metrics for various energy efficiency programs, including Affordable Single-family Homes, Home Energy Assessment, and Mi'kmaw Home Energy Efficiency Project, along with product and project counts for Efficient Product Installation and Affordable Multifamily Housing. The date filed is March 31, 2026.

1 Table 27: 2027–2031 Existing Residential Low-Income and Equity Performance Indicators Year Investment ($ million) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Participation (homes) Participation...

AI summary Table 27 outlines projected residential low-income and equity performance indicators from 2027–2031, detailing investments, energy savings, and participation metrics across programs like Affordable Single-family Homes and Mi'kmaw Home Energy Efficiency Projects. Total participation spans 2,735 homes, 73,904 products, and 595 projects, with energy savings declining slightly over time.

10 6.3 NEW RESIDENTIAL 4 9 13

AI summary Section 6.3 of the Nova Scotia regulatory proceeding discusses new residential energy initiatives, likely involving Demand Side Management (DSM) programs, cost recovery mechanisms (DCRR), and regulatory oversight by the Nova Scotia Utility and Review Board (NSUARB). Key entities include NS Power, E1, and the NSEB, with focus on energy efficiency (EE), demand response (DR), and program cost testing (PAC).

14 Table 28: New Residential - Overview, Objectives, Opportunity New Residential Overview • Delivered in partnership with Mi'kmaw communities, the program offers subsidized energy efficiency assessments, home design support, and post-const...

AI summary The New Residential program, delivered in partnership with Mi'kmaw communities, offers subsidized energy efficiency assessments, home design support, and post-construction rebates to encourage construction of new homes operating at close to net zero energy performance levels.

1 Table 29: 2027–2031 Summary of the Mi'kmaw New Home Construction Program Component Mi'kmaw New Home Construction Overview • • Delivered in partnership with Mi'kmaw communities. Offers home design support and post-construction rebates to...

AI summary The Mi'kmaw New Home Construction Program, delivered in partnership with Mi'kmaw communities, provides home design support and post-construction rebates to offset incremental costs of building homes that operate at close to net zero energy performance levels. The program promotes high-performing building envelopes, high-efficiency heating systems, and solar-PV systems.

7 Table 30: 2027–2031 New Residential Performance Indicators Year Investment ($ million) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Participation (homes) Lifetime Unit Cost ($/kWh) Program Admini...

AI summary Table 30 outlines residential energy efficiency investments and savings from 2027–2031, showing $5 million in total investment, 32.8 GWh in lifetime energy savings, and consistent Program Administrator Cost Test (PAC) values of 0.8 from 2028–2031.

15 6.4 BNI EFFICIENT PRODUCT REBATES PROGRAM

AI summary The BNI Efficient Product Rebates Program is part of a Nova Scotia regulatory proceeding, focusing on demand-side management and energy efficiency initiatives. It operates under frameworks like the Public Utilities Act and Energy and Regulatory Boards Act, aiming to promote energy-efficient products for business, non-profit, and institutional sectors.

16 6.4.1 OVERVIEW, OBJECTIVES, OPPORTUNITY 17 [Table 31](#page-149-2) provides a description of the BNI Efficient Product Rebates program for 2027–2031. 8 PAC is a benefit/cost ratio comparing lifetime benefits to DSM investment.

AI summary The text describes the BNI Efficient Product Rebates program for 2027–2031 and defines PAC as a benefit/cost ratio comparing lifetime benefits to DSM investment. The program aims to promote energy efficiency through rebates, while PAC evaluates the economic viability of DSM initiatives.

1 Table 31: BNI Efficient Product Rebates - Overview, Objectives, Opportunity BNI Efficient Product Rebates Overview • BNI customers can access prescriptive rebates or financing on eligible equipment with predictable savings and applicabil...

AI summary The BNI Efficient Product Rebates program provides prescriptive rebates and financing for energy-efficient equipment to businesses, non-profits, and institutions. The program aims to increase market penetration of efficient technologies and transform standard practices by addressing barriers such as upfront costs, lack of knowledge, and time constraints.

DATE FILED: March 31, 2026 Page 63 of 112 Business Energy Rebates Overview • The Business Energy Rebates program component offers two services – Instant Rebates and Application Rebates. • 2010 – program component launched • 2019 – program...

AI summary The Business Energy Rebates program offers Instant and Application Rebates to businesses. Launched in 2010, it saw increased adoption of LED products by 2019, leading to the removal of several lighting categories. In 2020, new measures such as system peak demand and electric thermal storage were introduced, along with pilots for demand control ventilation.

12 6.5 CUSTOM INCENTIVES PROGRAM

AI summary Section 6.5 of the Nova Scotia regulatory proceeding discusses the Custom Incentives Program, focusing on demand-side management (DSM) and energy efficiency (EE) initiatives. The program involves entities like NS Power, NSEB, and DSMAG, with considerations for cost recovery, rate design, and regulatory compliance under the ERBA and PUA frameworks.

2 Custom Incentives • Consists of two program components: Custom and Strategic Energy Management. Objectives • influence electrical energy efficiency and system-peak demand reduction projects; • build awareness around cost-effective energy...

AI summary The Custom Incentives program includes Custom and Strategic Energy Management components. Its objectives are to influence energy efficiency, reduce peak demand, and promote energy modeling. Barriers include upfront costs, payback periods, internal capacity constraints, and lack of industry awareness. The program began in 2008 and expanded in 2010 and 2012.

Custom Incentives - 2015 program renamed to Custom Incentives, comprised of five components: Custom Retrofit, New Construction, Existing Building Commissioning, Energy Management and Information Systems and Strategic Energy Management - 20...

AI summary The Custom Incentives program has undergone multiple structural changes since 2015, evolving from five components to two, with shifts in focus areas like retrofitting, energy management, and strategic initiatives. Key updates include the 2020 introduction of Industrial Energy Managers and the 2023 reconfiguration to two core components. Tables 36 and 37 provide historical component details.

6 Table 36: 2027–2031 Custom Program Component Custom • 2013 – introduced a compressed air optimization offering in 2013 under the Retrofit service Program Component • 2014 – introduced a building optimization offering in 2014 (previously...

AI summary This table outlines the history of a custom program component, detailing the introduction of various energy efficiency initiatives from 2013 to 2020, including compressed air optimization, building optimization, and demand-based incentives.

Quality Assurance - Strategic Energy Management has an established quality assurance framework which includes pre and post measurement of energy consumption (e.g., direct, modelled, expert review), random and targeted site visits, document...

AI summary Strategic Energy Management employs a quality assurance framework with pre/post measurement, site visits, and customer surveys. E1 plans to integrate its BNI programs into a centralized QA framework by 2028 to ensure process consistency across programs.

7 6.6 DIRECT INSTALLATION PROGRAM

AI summary The Direct Installation Program under Nova Scotia's Demand Side Management (DSM) framework aims to enhance energy efficiency and reduce GHG emissions through targeted initiatives. Key stakeholders include NS Power, NSEB, and ERBA, with regulatory considerations involving cost recovery and program effectiveness.

6 Table 41: 2027–2031 Small Business Energy Solutions Program Component Small Business Energy Solutions Overview • Provides small business customers with access to technical assistance and financial incentives for the installation of energ...

AI summary The Small Business Energy Solutions Program provides technical assistance and financial incentives to small business customers for the installation of energy-efficient and system-peak demand reduction equipment. Access is available through self-directed or facilitated pathways.

1 Table 42: 2027–2031 Direct Installation Performance Indicators Year Investment ($ million) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Participation (projects) Lifetime Unit Cost ($/kWh) Program...

AI summary Table 42 outlines performance indicators for the Direct Installation Program from 2027 to 2031, showing investment, energy savings, peak demand savings, and participation numbers. Table 43 provides similar data for the Low-Income and Equity portion of the program. The PAC metric is defined as a benefit/cost ratio comparing lifetime benefits to DSM investment.

13 7. DEMAND RESPONSE Demand response is an important resource for supporting Nova Scotia's electricity system by reducing or shifting customer load during periods of peak demand. The Federal Energy Regulatory Commission defines demand res...

AI summary Nova Scotia's demand response (DR) programs, managed by E1, aim to reduce peak demand through load shifting. The 2023–2025 DSM Plan faced underachievement, but E1 anticipates growth in 2026. The 2027–2031 Preferred Plan focuses on achievable targets aligned with NS Power's IRP, with modest BNI DR growth and stable residential DR. Cost-effectiveness (PAC ≥ 1.0) and regulatory feedback influenced planning.

6 Table 45: 2027–2031 Residential Demand Response Program Component Residential Demand Response Annual Plan Investment ($M) Available Demand Response Capacity (MW) Participation (participants) 2027 Total 2.2 4.2 22,940 2028 Total 2.0 4.1 2...

AI summary The table outlines the 2027–2031 Residential Demand Response Program, including annual investments, available capacity, and participation numbers. The program focuses on existing participants, using smart thermostats and water heaters, and is delivered through a DERMS provider. Marketing efforts target existing customers, and quality assurance includes customer feedback and post-season surveys.

5 Table 46: 2027–2031 BNI Demand Response Program Component BNI Demand Response Annual Plan Investment ($M) Available Demand Response Capacity (MW) Participation (participants) 2027 Total 3.1 17.0 169 2028 Total 3.5 19.1 173 2029 Total 3.8...

AI summary Table 46 outlines the BNI Demand Response Program's investment, capacity, and participation from 2027 to 2031. The program encourages businesses to reduce load during peak events through financial incentives and involves third-party aggregators for implementation. Enhancements include continued support, marketing strategies, and quality assurance measures.

1 Table 49: Overview, Objectives, Opportunity Solar-PV Overview • Post-installation incentives are provided for solar-PV systems installed on new homes in Mi'kmaw communities. • The program consists of one component: Residential Solar-PV....

AI summary This table outlines the Solar-PV program, which aims to increase the adoption of solar-PV systems in Mi'kmaw communities by reducing upfront costs and building awareness. The program targets residential new home construction projects, addressing barriers such as affordability, awareness, and uncertainty about solar-PV technology and payback periods.

8 9. ENABLING STRATEGIES

AI summary The section titled 'ENABLING STRATEGIES' introduces the context for regulatory proceedings in Nova Scotia, listing relevant acronyms and organizations involved in energy management and regulatory processes. No detailed content or arguments are present in the provided text.

9 9.1 OVERVIEW - 10 Enabling Strategies are initiatives that support the development, delivery, and growth of E1's DSM - 11 programs as well as the efforts required to plan for future DSM plans. 12 - 13 For the 2027–2031 period, E1 propose...

AI summary E1 proposes to invest 9% of its total DSM Portfolio in Enabling Strategies for the 2027–2031 period, allocating funds across four categories: Education and Outreach, Development and Research, Other Enabling Strategies, and Market Transformation. E1 has responded to feedback from DSMAG and introduced measures of success and structured plans for these initiatives.

14 9.2 HISTORY Enabling Strategies activities have been a component of E1's DSM Plans since the first Plan was developed in 2012 and they have played a pivotal role in supporting the development, delivery, and growth of E1 programs includi...

AI summary Enabling Strategies (ES) have been integral to E1's Demand Side Management (DSM) Plans since 2012, evolving from education/outreach to innovation and R&D. The 2023–2026 plan focuses on addressing challenges like market maturity and emerging technologies in Nova Scotia's energy landscape.

1 9.3 OBJECTIVES - 2 In 2027–2031, Enabling Strategies will continue to build on those initiatives that have historically proven - 3 successful by delivering focused education and outreach, and development and research activities; - 4 mark...

AI summary Enabling Strategies (ES) aims to expand DSM program participation through education and outreach, ensure E1 adapts to market changes via research, continue the heat pump water heater pilot, and meet regulatory requirements including reporting and consultations. ES will also address evolving technologies and maintain compliance with NSIESO and DSMAG directives.

1. Participate in home shows By participating in existing, reputable, and popular home shows in communities across the province, E1 is able to reach large numbers of Nova Scotians to increase public awareness about E1's DSM programs and to...

AI summary E1 promotes its Demand Side Management (DSM) programs through participation in popular home shows across Nova Scotia, aiming to increase public awareness and provide information on accessing these programs.

2. Partner with organizations with aligned missions By entering into partnerships with organizations that share aspects of E1's mission to inform and motivate Nova Scotians to use less energy, E1 is able to leverage the knowledge and resou...

AI summary E1 partners with organizations sharing its mission to reduce energy use in Nova Scotia, leveraging resources to engage underserved communities. Collaborations involve events like conferences and training, with agreements targeting reach and engagement metrics.

2. Support E1's Efficiency Preferred Partner network As part of ongoing efforts to recruit and retain members to the Efficiency Preferred Partner network, E1 will continue to organize training and other professional development opportuniti...

AI summary E1 aims to strengthen Nova Scotia's green building sector by expanding training, professional development, and networking opportunities for members of its Efficiency Preferred Partner network, ensuring ongoing support and engagement for network participants.

1. Support Mi'kmaw communities in engaging with E1 programs E1's Mi'kmaw Community Engagement Lead will work with representatives and leaders of Nova Scotia's 13 Mi'kmaw communities to promote E1's programs and support participation.

AI summary E1's Mi'kmaw Community Engagement Lead collaborates with Nova Scotia's 13 Mi'kmaw communities to promote E1 programs and enhance participation, ensuring cultural relevance and community support in energy efficiency initiatives.

2. Provide energy management services to Mi'kmaw communities E1's Roving Energy Manager for Mi'kmaw communities will work with Nova Scotia's 13 Mi'kmaw communities to identify new DSM projects and coordinate building energy audits in an ef...

AI summary E1's Roving Energy Manager collaborates with Nova Scotia's 13 Mi'kmaw communities to identify Demand Side Management (DSM) projects and coordinate energy audits, aiming to enhance Mi'kmaw participation in E1's DSM programs.

Measures of success: - E1 achieves its annual participation targets for the Mi'kmaw New Home Construction program component set out in the 2027–2031 DSM Plan. - The Roving Energy Manager facilitates Mi'kmaw participation in E1's BNI progra...

AI summary The document outlines success measures for E1's programs under the 2027–2031 DSM Plan, including achieving annual participation targets for the Mi'kmaw New Home Construction program and ensuring Mi'kmaw community engagement through the Roving Energy Manager in BNI initiatives.

INFORMATION & ANALYTICS

AI summary The INFORMATION & ANALYTICS section outlines regulatory proceedings in Nova Scotia, involving energy efficiency, demand-side management, and utility rate structures. Key entities include NS Power, NSEB, and ERBA, with topics focusing on DSM, EE, and rate design.

2. Participate and contribute to national Codes and Standards organization E1's participation in the Canadian Standards Association's Steering Committee on Performance, Energy Efficiency and Renewables, which sets equipment performance sta...

AI summary E1 participates in the Canadian Standards Association's Steering Committee on Performance, Energy Efficiency, and Renewables to influence equipment standards, enhancing energy efficiency and demand response in Nova Scotia. This involvement allows E1 to inform stakeholders about upcoming changes.

DSM PLANNING

AI summary The document outlines the context for Demand Side Management (DSM) planning in Nova Scotia, referencing key regulatory bodies, programs, and acronyms relevant to energy efficiency, utility regulation, and DSM cost recovery mechanisms.

- 5 Table 59: 2027–2031 Market Transformation Activities Market Transformation Areas of Focus Total Investment Year Heat pump water heater pilot ($) ($) 2027 Total 0.8 0.8 2028 Total 0.8 0.8 2029 Total 0.7 0.7 2030 Total 0.7 0.7 2031 Total...

AI summary Table 59 outlines the Market Transformation activities from 2027 to 2031, focusing on heat pump water heater pilots with a total investment of $3.8 million. These activities aim to overcome barriers to adoption of energy-efficient products and promote long-term energy efficiency growth in Nova Scotia.

HEAT PUMP WATER HEATER PILOT

AI summary A pilot program for heat pump water heaters under the Public Utilities Act, managed by the Nova Scotia Energy Board (NSEB), involving Nova Scotia Power (NS Power) and EfficiencyOne (E1) to evaluate energy efficiency measures and demand-side management (DSM) initiatives.

12 Table 61: Proposed 2027–2031 DSM Preferred Plan Performance Targets 2027–2031 Performance Targets DSM Resource Energy Savings (GWh) Peak Demand Savings (MW) Low-Income & Equity Energy Savings (GWh) Available Demand Response Capacity (MW...

AI summary Table 61 outlines proposed 2027–2031 DSM performance targets, including 435.4 GWh energy savings from Energy Efficiency, 85.0 MW peak demand savings, 14.0 GWh low-income equity savings, 29.3 MW demand response capacity, and 1.7 GWh solar-PV generation. Targets aim to balance energy efficiency, demand response, and renewable integration.

1 11.2 PROCESS AND MARKET EVALUATIONS - 2 Program component process and market evaluations will remain consistent with the 2023–2026 DSM - 3 Resource Plan. Process evaluations identify and recommend improvements to increase the program - 4...

AI summary The text outlines process and market evaluations for DSM programs under the 2023–2026 Resource Plan. Process evaluations aim to improve efficiency and effectiveness, while market evaluations analyze technology adoption. E1 will determine evaluation criteria based on factors like new programs, major changes, and energy savings variances.

13.4 ROUTINE REPORTING This section describes E1's DSM reporting over 2027-2031, including proposed content.

AI summary This section outlines E1's proposed Demand Side Management (DSM) reporting framework for 2027-2031, detailing content requirements and submission processes under Nova Scotia regulatory oversight.

13.4.1 QUARTERLY REPORTING - Quarterly reports provide regular updates on DSM implementation, performance, and expenditures - during each Plan year. These reports support ongoing monitoring and early identification of emerging - trends or...

AI summary E1 is required to submit quarterly reports to the NSEB detailing DSM implementation, performance metrics, and expenditures. Reports include YTD data, mid-course adjustments, rate class variances, and program highlights, with specific filing dates set by NSUARB. The reports aim to monitor progress toward five-year targets and ensure compliance with the approved DSM Resource Plan.

Table 1: Residential Efficient Product Rebates 2027-2031 Residential Efficient Product Rebates Rate Class Year First-Year Energy Savings Lifetime Energy Savings Peak Demand Savings Expenditures ($ million) (GWh) (GWh) (MW) 2027 11.0 106.3...

AI summary This table outlines projected energy savings and expenditures for the 2027-2031 Residential Efficient Product Rebates program across various rate classes. It includes first-year and lifetime energy savings, peak demand savings, and associated expenditures in millions of dollars.

Table 2: Existing Residential 2027-2031 Existing Residential Rate Class Year First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Expenditures ($ million) 2027 11.3 136.9 3.1 21.0 2028 12.0 149.9 3.6 21.4...

AI summary Table 2 provides projections of energy savings and expenditures for residential and other rate classes in Nova Scotia from 2027 to 2031. It outlines first-year and lifetime energy savings in gigawatt-hours, peak demand savings in megawatts, and expenditures in millions of dollars for various categories.

1.1 Innovation within DSM Enabling Strategies E1 allocates funding for research and development within the Enabling Strategies component of its DSM Resource Plans. Innovation is a core element of the Enabling Strategies portfolio, supporti...

AI summary E1 invests in research and development for Enabling Strategies within its DSM Resource Plans, focusing on innovation to enhance DSM programs. Activities include exploring emerging technologies, improving existing programs, conducting pilots, and fostering market adoption of energy-efficient solutions and demand response strategies.

2. GOVERNANCE

AI summary The 'Governance' section outlines regulatory frameworks and acronyms related to Nova Scotia's energy sector, including organizations, programs, and legal acts. It emphasizes governance structures for utility regulation, demand-side management, and energy efficiency initiatives, though no detailed arguments or specific case references are provided in the text.

3. PROJECT DEVELOPMENT

AI summary The document outlines the 'PROJECT DEVELOPMENT' section of a Nova Scotia regulatory proceeding, listing key acronyms and entities involved in energy regulation, including organizations like NS Power, NSEB, and programs such as DSM and EE. It provides context for technical terms and regulatory frameworks relevant to the proceeding.

5 The Innovation Goals, justification and key activities for each of the Focus Areas are shown below in [Table 2.](#page-220-3) Focus Area Innovation Goal(s) Justification Key Activities Demand Flexibility or Load Flexibility 1. Improve co...

AI summary The focus area of Demand Flexibility or Load Flexibility aims to improve the cost-effectiveness of DR programs, enable grid flexibility through DER orchestration, and leverage planning insights for flexibility use cases. Key activities include developing strategies for flexible events, capacity-building, stakeholder coordination, and pilot evaluations. Collaboration with NS Power and NSIESO is required for establishing benefits of new use cases.

4. PILOT OVERVIEW

AI summary The section outlines a pilot program overview within a Nova Scotia regulatory proceeding, listing acronyms related to energy management, utility regulation, and program administration. Key terms include Demand Side Management (DSM), Public Utilities Act (PUA), and Nova Scotia Energy Board (NSEB), reflecting the regulatory and operational context of the proceeding.

1 1. EXECUTIVE SUMMARY 2 EfficiencyOne (E1) delivers demand side management (DSM) programs that offer benefits to customers 3 and the electric utility. While DSM is a key resource option for delivering clean, affordable, reliable and 4 saf...

AI summary EfficiencyOne (E1) highlights that demand side management (DSM) programs reduce customer bills, offsetting potential rate increases. However, equity concerns arise as non-participating customers face higher rates. E1's Rate and Bill Impact Analysis (RBIA) assesses historical and future DSM impacts, informing Nova Scotia Energy Board (NSEB) decisions on DSM investments from 2011–2026 and future plans (2027–2031).

1 2. INTRODUCTION 2 The forward-looking RBIA is an analysis of the rate and bill impacts associated with the proposed DSM - 3 investment only. It compares the impacts of the proposed DSM investment to a scenario where there is - 4 no DSM i...

AI summary The document discusses the forward-looking and historical Rate and Bill Impact Analysis (RBIA) for Demand Side Management (DSM) investments in Nova Scotia. It highlights E1's proposal to eliminate historical RBIA filings except during DSM Plan Application years, and the NSUARB's acceptance of this approach. The analysis informs DSM investment levels and considers non-participant impacts.

4 3. 2027–2031 DSM PLAN RBIA RESULTS - 5 The results in this section are for the 2027–2031 DSM Preferred Plan. All impacts are calculated relative - 6 to a scenario where no DSM is conducted in 2027–2031. Results are summarized in Attachme...

AI summary The 2027–2031 DSM Preferred Plan RBIA results compare impacts to a no-DSM scenario, analyzing energy efficiency, demand response, and solar-PV separately and combined. Attachments 1 and 2 detail model outputs, rate impacts, and bill adjustments for each rate class, with selected graphs illustrating key findings.

3.1 OVERALL RATE IMPACTS - DSM can lower rates by avoiding electricity system costs (avoided energy, capacity, transmission and - distribution). DSM may also increase rates, a result of recovering program costs as well as lost revenues - d...

AI summary DSM initiatives may lower electricity rates by avoiding system costs but could increase rates due to program recovery costs and lost revenue. The 2027–2031 DSM Plan RBIA analysis shows average rate impacts ranging from -0.1% to +0.9% over 2027–2046, with higher short-term increases (+1.6% to +4.7%) during program cost recovery (2027–2031) and lower long-term impacts (-0.8% to -0.1%) post-recovery (2032–2046).

11 3.2 OVERALL BILL IMPACTS Generally speaking, ratepayers that participate in DSM programs directly benefit by reducing their electricity consumption and thereby lowering their electricity bills. Together, the level of reduced consumption...

AI summary DSM programs in Nova Scotia reduce electricity bills for participants by 0.04% to -37%, while non-participants see minimal increases (0.1% to +0.8%). Total customer bill impacts range from -0.04% to -3.4%, with $0.4 billion in savings for ratepayers due to reduced revenue requirements from 2027–2031 DSM initiatives.

3.4 COMPARISON OF 2027-2031 PREFERRED PLAN AND ALTERNATE

AI summary The section compares the preferred plan and alternate for 2027-2031, though no specific details are provided in the text. Key regulatory and energy-related terms are referenced, including demand-side management, energy efficiency, and utility regulations.

SCENARIO RBIA RESULTS Full results, by rate class, are provided in Attachments 2 and 3 for the 2027–2031 DSM Preferred Plan and Alternate Scenario, respectively. This section compares key outputs between the two. Rate impacts for both the...

AI summary The document compares rate and bill impacts between the DSM Preferred Plan and Alternate Scenario (2027–2031). Rate impacts are nearly identical, with minor increases (0.02% residential, 0.01% large industrial) from residential demand response in the Preferred Plan. Bill impacts differ by 0.04% lower residential bills in the Preferred Plan, with all other differences negligible.

2 Alternate Scenario)

AI summary The document references an alternate scenario within a regulatory proceeding, likely exploring demand-side management (DSM) strategies, cost recovery mechanisms, and energy efficiency programs. Key entities include NS Power, NSEB, and DSMAG, with topics focusing on regulatory frameworks and program evaluations.

5 4. 2026 HISTORICAL DSM RBIA RESULTS - 6 The results in this section are for DSM activities that have occurred from 2011–2024 and are approved for - 7 2025–2026. All impacts are calculated relative to a scenario where no DSM is conducted...

AI summary This section presents DSM RBIA results for activities from 2011–2024, approved for 2025–2026. Impacts are calculated against a no-DSM baseline scenario. Results are summarized in Attachment 4, separated by energy efficiency and demand response, with rate-class-specific summaries in Attachment 1. Graphs in the summaries reflect model outputs.

5.3 RBIA STUDY PERIOD A solar-PV resource was modelled for the first time as part of the 2027–2031 DSM Plan. With a 30-year measure life, solar-PV installations in 2031 would generate DSM impacts through 2060. However, the NS Power rate mo...

AI summary The 2027–2031 DSM Plan initially considered extending the RBIA study period to 2060 to account for solar-PV impacts, but NS Power and E1 opted to retain the 2055 model configuration. Reasons included data limitations, solar-PV's minor role compared to expiring energy efficiency measures, and the adequacy of 2046 impacts for decision-making.

usinesses that deliver efficiency services instead of investment in foreign fuel supplies, increased - productivity in businesses, and increased occupant comfort in homes and businesses, among others. PAC net lifetime benefits of the DSM P...

AI summary DSM investments yield long-term net benefits for Nova Scotian ratepayers via cost-effectiveness testing (PAC). However, the PAC test does not account for potential subsidization of participants by non-participants. RBIA analysis subdivides rate classes into participant and non-participant groups, showing that DSM program participation reduces bills for participants despite rate increases, with higher participation limiting customers facing only rate hikes.

2. RESOURCES AND SCENARIOS - Both the 2027–2031 DSM Plan analysis and the 2026 historical analysis include the NS Power rate - model (Attachments 7 and 8) and the E1 RBIA model (Attachments 9 and 10). The analyses - compare two scenarios:...

AI summary The document compares DSM and no-DSM scenarios using NS Power and E1's RBIA models, analyzing utility costs, energy reductions, and rate impacts. It outlines resource combinations (e.g., Energy Efficiency Only, Solar-PV Only) and notes that rate impacts isolate DSM effects but do not reflect actual timing of rate increases. Results are summarized in Appendix B, Attachment 1.

2.1 ENERGY EFFICIENCY INPUTS - For the 2027–2031 DSM Plan RBIA, first-year energy, lifetime energy, demand savings and expenditures developed at the program component level were allocated to rate classes in proportion with the actual rate...

AI summary The 2027–2031 DSM Plan RBIA allocates energy savings and expenditures by rate class using historical 2022–2024 data and weighted-average measure lives (WAMLs). Solar-PV inputs are allocated entirely to the residential rate class with a 30-year measure life, excluded from historical RBIA periods. Savings estimates for 2025–2026 use the approved 2023–2025 DSM Plan and 2026 extension.

4. TIME PERIOD DEFINITIONS - The following time periods apply to the RBIA analysis: - DSM delivery period: the timeframe over which DSM programs are delivered. - The DSM delivery period included in the 2027–2031 DSM Plan RBIA is 2027–2031...

AI summary The document defines three time periods for the Rate and Bill Impact Analysis (RBIA) of Nova Scotia's Demand Side Management (DSM) programs: DSM delivery (2027–2031 and 2011–2026), cost recovery (same periods), and study periods (2027–2046 and 2011–2041). Energy efficiency impacts, not solar-PV, determine the study period, with solar-PV effects visible until 2055.

7.2 ENERGY EFFICIENCY PARTICIPATION - Within each rate class and year, both the annual and active energy efficiency participant - estimates are the sum of three components: tracked participants (customers who participate in - a program oth...

AI summary The section outlines the methodology for calculating energy efficiency participants in Nova Scotia, dividing them into tracked, untracked, and Residential Behaviour groups. Adjustments are made to avoid double-counting, and totals are capped per rate class annually.

Active Tracked Participation - For years where approved/proposed rather than historical participation is used (2025–2031), - active participants in each year are estimated by applying a factor that accounts for how likely - participants ar...

AI summary The document outlines methods for estimating active participants in energy programs from 2025–2031 using historical tracked data (2019–2023) and a re-participation factor. Post-2032, participation degrades at the same rate as cumulative energy savings. E1 tracked participation rates from 2011–2024 using customer records.

Active Participation - For historical years (2011–2024), to calculate the number of active participants, E1 starts with - the annual participation and for each subsequent year adds the number of new participants - (calculated based on surv...

AI summary E1 calculates active participants for historical years (2011–2024) by adding new participants and subtracting expiring ones based on savings lifespan. For future years, a re-participation factor derived from 2019–2023 data is applied, with participant numbers degrading post-2032 at the same rate as cumulative energy savings.

5 7.5 COMBINED PARTICIPATION - 6 In the DSM scenario—where the combined effects of energy efficiency, demand response, and - 7 Solar-PV are evaluated—the rate-class participation is assumed to be the highest level observed - 8 among the th...

AI summary In the DSM scenario, combined participation of energy efficiency, demand response, and solar-PV uses the highest observed rate-class participation due to overlapping program participation, particularly between energy efficiency and solar-PV, and energy efficiency and demand response.

8. CALCULATION OF RATE IMPACTS - Rate impacts are calculated in NS Power's Rate Model (Attachment 7 and 8) to reflect NS Power's - Cost of Service in a more precise manner. It reflects the Energy Board approved retail rates and - Cost of S...

AI summary NS Power's Rate Model calculates rate impacts for the 2027–2031 DSM Plan using Forecast Unit Revenues, blending DSM energy and demand impacts into a single rate. E1's RBIA Model uses these revenues to assess bill impacts, excluding demand charges as they are already incorporated into blended rates. The analysis isolates DSM effects by comparing DSM and no-DSM scenarios, assuming equal energy and demand savings.

9.3 PARTICIPANT BILL IMPACTS - For the DSM scenario, within each rate class in each year, total annual savings (i.e., current-year - savings plus persistent savings from past years) are divided equally amongst the number of active - partic...

AI summary The DSM scenario assumes equal annual savings per participant across rate classes, ignoring varying participation depths. E1's RBIA includes free-riders, leading to underestimated average savings. Total Customers category allocates DSM savings equally to all customers, not differentiating between participants and non-participants.

10. NS POWER RATE MODEL SCENARIOS - This section describes at a high-level how the NS Power Rate Model works and some recent - improvements that were made. - Both the E1 RBIA model and NS Power rate model include the actual costs and benef...

AI summary The NS Power Rate Model incorporates historical and planned DSM savings, calculating revenue requirements with and without DSM resources. The 'DSM Benchmark' includes all DSM costs and savings, while the E1 model allows users to adjust avoided cost scenarios and select DSM resources. Revenue requirements are prorated based on cost drivers like consumption and peak demand.

Methodology for determination of changes in NS Power's base cost rates as a result of DSM-induced changes in class usage and total system costs November 27, 2020

AI summary This document outlines the methodology for adjusting NS Power's base cost rates based on DSM-induced changes in class usage and system costs. It involves regulatory analysis under the ERBA and NSUARB frameworks, focusing on cost recovery and rate design considerations.

Attachment A

AI summary Attachment A lists acronyms related to Nova Scotia's energy regulation, including organizations, programs, and legal frameworks involved in utility proceedings. Key terms cover demand-side management, rate design, and energy efficiency initiatives.

"Total-Savings" tab The "Total-Savings" tab provides a sum of annual class savings in energy and demand usage at the generator's gate and customer's meter. In addition, class demand savings at the high side of the bulk power substation are...

AI summary The 'Total-Savings' tab calculates annual energy and demand savings at the generator's gate and customer's meter, including avoided fuel, generation, transmission, and distribution costs. FAM-related avoided costs use unit fuel costs multiplied by energy savings, while non-FAM costs use avoided infrastructure costs per MW demand savings.

Results

AI summary The document section 'Results' is under review, with no substantive content provided. Key entities and topics are inferred from the context, including regulatory bodies, energy programs, and technical terms related to Nova Scotia's energy sector.

"NSPI Inputs into RBIA" tab "NSPI Inputs into RBIA" provides pricing inputs requested by E1. It includes the following annual class data in years 201-2035 broken out by "With DSM" and "No DSM" scenarios: - Forecast Unit Revenues Before DSM...

AI summary The 'NSPI Inputs into RBIA' tab provides data for Rate and Bill Impact Analysis (RBIA) scenarios with and without Demand Side Management (DSM). It includes revenue forecasts, sales projections, demand forecasts, and customer counts from 2021–2035. Attachments detail NS Power rate models, E1 RBIA models, and an alternate scenario for 2027–2031.

17 Table 1: 2027–2031 Alternate Scenario Portfolio Level Insights Insights 2027–2031 Energy Efficiency Energy Savings as % of NS Power Load 0.8% Energy Savings (EE) Split (RES/BNI) 29/71 Demand Savings (EE) Split (RES/BNI) 44/56 Dedicated...

AI summary This table provides insights into the 2027–2031 alternate scenario portfolio, including energy efficiency savings, demand response capacity, solar-PV generation, and overall benefits of the alternative plan, such as energy savings, investment, and CO₂e reductions.

1.1 ALTERNATE SCENARIO – PORTFOLIO SAVINGS AND INVESTMENT 16 Table 2, below, provides portfolio-level savings and investment by year and in aggregate, inclusive of all 17 proposed DSM resources for the 2027–2031 Alternate Scenario. 18 19 2...

AI summary The document presents an alternate scenario analyzing portfolio-level savings and investments from 2027–2031, incorporating all proposed DSM resources. Table 2 summarizes these figures, reflecting the regulatory proceeding's focus on energy efficiency and investment planning under Nova Scotia's utility framework.

Table 2: 2027–2031 Alternate Scenario Investment and Savings 2027-2031 Portfolio Year Investment ($M) Lifetime Benefits ($ million) First-Year Energy Savings (GWh) Peak Demand Savings (MW) Lifetime Energy Savings (GWh) Low- Income & Equity...

AI summary Table 2 presents investment and savings data for energy efficiency and demand response programs from 2027 to 2031. It includes metrics such as investment, lifetime benefits, energy savings, peak demand savings, and weighted average measure life for various programs.

4 Table 4: 2027 Alternate Scenario Savings and Investment by Program Component 2027 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Deman...

AI summary Table 4 outlines the 2027 alternate scenario savings and investment by program component, focusing on residential energy efficiency programs. It provides data on investment, lifetime benefits, energy savings, and other metrics for various initiatives, including efficient product rebates, home energy assessments, and the Mi'kmaw Home Energy Efficiency Project.

Columns may not add correctly due to rounding. Currency is expressed in nominal dollars. For the five-year total row, currency is a straight sum of 5 years of nominal values. Lifetime benefits for energy efficiency, demand response and sol...

AI summary The text outlines how lifetime benefits for energy efficiency, demand response, and solar-PV are calculated using net present value of avoided costs. It also discusses how low-income and equity impacts are reflected in program participation and mentions the PAC as a benefit/cost ratio for DSM investment.

Currency is expressed in nominal dollars. For the five-year total row, currency is a straight sum of 5 years of nominal values. Lifetime benefits for energy efficiency, demand response and solar-PV are expressed as the net present value of...

AI summary The text outlines how currency is expressed in nominal dollars and discusses the calculation of lifetime benefits for energy efficiency, demand response, and solar-PV programs using net present value of avoided costs. It also addresses low-income and equity impacts based on participation in specific programs.

1 Table 6: 2029 Alternate Scenario Savings and Investment by Program Component 2029 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Deman...

AI summary Table 6 presents an overview of 2029 alternate scenario savings and investment by program component, focusing on Energy Efficiency (EE) Programs. It includes metrics such as investment, lifetime benefits, energy savings, and demand response capacity.

Currency is expressed in nominal dollars. For the five-year total row, currency is a straight sum of 5 years of nominal values. Lifetime benefits for energy efficiency, demand response and solar-PV are expressed as the net present value of...

AI summary The text discusses the calculation of lifetime benefits for energy efficiency, demand response, and solar-PV programs, expressed as net present value of avoided costs. It also highlights the inclusion of low-income and equity impacts from targeted and non-targeted programs.

1 Table 7: 2030 Alternate Scenario Savings and Investment by Program Component 2030 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Deman...

AI summary Table 7 outlines the projected investment, benefits, and savings across various energy efficiency (EE), enabling strategies (ES), demand response (DR), and solar-PV programs for 2030. The data highlights the financial and energy-saving impacts of these initiatives, including residential and business programs, and emphasizes the overall savings and investment required for the DSM portfolio.

Currency is expressed in nominal dollars. For the five-year total row, currency is a straight sum of 5 years of nominal values. Lifetime benefits for energy efficiency, demand response and solar-PV are expressed as the net present value of...

AI summary The text discusses the calculation of lifetime benefits for energy efficiency, demand response, and solar-PV programs, using net present value of avoided costs. It also highlights the consideration of low-income and equity impacts, including participation from dedicated and non-targeted programs.

1 1.3 ALTERNATE SCENARIO – PROGRAMS 15 Alternate tab for the Alternate Scenario). - 2 The Alternate Scenario removes the residential program component (Eco Shift) from the Demand - 3 Response program. 4 - 5 All other DSM programs in the Al...

AI summary The Alternate Scenario removes the residential Eco Shift program from Demand Response but retains energy efficiency and solar-PV programs, including new Mi'kmaw initiatives. Technical details are outlined in appendices, with no changes to energy efficiency or solar-PV measures compared to the Preferred Plan.

21 Table 9: 2027–2031 Alternate Scenario Rate Class Savings and Expenditures 2027–2031 Rate Class Year First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Demand Response Capacity (MW) Generatio...

AI summary Table 9 presents energy savings and expenditures for different rate classes from 2027 to 2031 under an alternate scenario. It includes data on energy savings, peak demand savings, and expenditures in millions of dollars for residential, charitable, and small general rate classes.

4 List of Schedules 5 6 Schedule "A": Electricity Efficiency And ConservationDemand-side Management 7 Activities 8 Schedule "B": Compensation 9 Schedule "C": Performance Requirements 10 Schedule "D": Confidentiality Agreement 11 Schedule "...

AI summary The document outlines five schedules related to electricity efficiency, compensation, performance requirements, confidentiality, and an approved DSM resource plan. Key focus areas include demand-side management, energy conservation, and regulatory compliance frameworks.

25 19. DISPUTE RESOLUTION - 26 19.1 In the event of a dispute in connection with this Agreement, a senior representative of 27 EfficiencyOne and a senior representative of NSPI shall promptly meet to discuss and 28 resolve the dispute and...

AI summary The dispute resolution process between EfficiencyOne and NSPI involves initial meetings within 30 days (or 10 days for urgent matters), followed by referral to the UARB NSEB under Section 79P of the Act if unresolved. EfficiencyOne must continue the EECADSM program unless authorized by the board.

4 ELECTRICITY EFFICIENCY AND CONSERVATIONDEMAND-SIDE MANAGEMENT 5 ACTIVITIES

AI summary The document outlines Nova Scotia's regulatory focus on electricity efficiency, conservation, and demand-side management (DSM) activities. Key entities include NS Power, NSEB, and NSUARB, with emphasis on programs like DSMAG and E1. Topics cover energy efficiency, rate design, and regulatory frameworks.

6 Schedule A

AI summary Schedule A of a Nova Scotia regulatory proceeding document, likely related to energy management, utility regulations, and cost recovery mechanisms. Context includes acronyms and entities relevant to energy efficiency, demand response, and utility rate structures.

7 Electricity Efficiency and ConservationDemand-Side Management Activities The figure below identifies the scope of savings (3 5 year cCumulative Annual eEnergy sSavings, cCumulative Annual pPeak dDemand sSavings, cCumulative Annual eEnerg...

AI summary The document outlines Energy Efficiency Corporation (EECA) Demand-Side Management (DSM) performance targets over a five-year plan, including energy and peak demand savings, solar-PV generation, and low-income equity programs. Compliance requires achieving 90% of targets; otherwise, a regulatory process is triggered. Schedule B addresses compensation mechanisms.

45 Schedule B (Page 2 of 2)

AI summary Second page of Schedule B from a Nova Scotia regulatory proceeding, listing acronyms related to energy regulation, utility management, and demand-side programs. Context includes terms like DSM, PUA, NSEB, and NS Power, reflecting regulatory frameworks and energy initiatives in Nova Scotia.

PERFORMANCE REQUIREMENTS - I. UARBNSEB-APPROVED PERFORMANCE TARGETS, THRESHOLDS, AND INDICATORS - a) Performance Targets and Thresholds: - Performance Targets are set over the three five year contract period, rather than annually. - ii. Ef...

AI summary Performance targets for EfficiencyOne (E1) are set over three five-year contract periods, requiring 90% achievement of metrics like energy savings, peak demand reduction, and solar-PV generation. Non-compliance triggers regulatory action, with the Nova Scotia Energy Board (NSEB) determining remedies. Targets include specific programs for affordable housing and Mi'kmaw communities.

4 DEMAND-SIDE MANAGEMENT ACTIVITIES

AI summary This section outlines Demand-Side Management (DSM) activities in Nova Scotia, referencing regulatory frameworks, utility programs, and energy efficiency initiatives. Key entities include Nova Scotia Power, the Nova Scotia Energy Board (NSEB), and the Public Utilities Act (PUA), with acronyms covering DSM, rate design, and distributed energy resources.

14 15 Cumulative Net Energy Savings at Generator over the Term (GWh) Cumulative Net Peak Demand Savings at Generator over the Term (MW) Cumulative Energy Savings – Low Income & Equity (GWh) Available Demand Response Capacity (MW) Cumulativ...

AI summary The text presents a table with performance targets related to energy savings and generation, including cumulative net energy savings, peak demand savings, low-income and equity energy savings, available demand response capacity, and cumulative net solar-PV generation. However, the table lacks specific numerical data and is incomplete.

25 Schedule B (Page 1 of 2)

AI summary Schedule B (Page 1 of 2) from a Nova Scotia regulatory proceeding document lists acronyms and terms related to energy regulation, utility operations, and demand-side management. Key entities include NS Power, NSEB, and ERBA, with topics covering energy efficiency, rate design, and regulatory frameworks.

37 Schedule B (Page 2 of 2)

AI summary Schedule B (Page 2 of 2) from a Nova Scotia regulatory proceeding lists acronyms related to energy regulation, utility management, and policy frameworks. It includes terms for demand-side management, rate design, and energy efficiency programs, reflecting the context of utility oversight and regulatory analysis in Nova Scotia.

22 3. STANDARDIZED FILING FRAMEWORK

AI summary The document outlines a standardized filing framework within a Nova Scotia regulatory proceeding, focusing on energy and utility regulations. It includes acronyms related to demand-side management, energy efficiency, and utility rate structures, indicating a structured approach to regulatory compliance and reporting.

26 Table 1: Glossary of Terms Term Definition Available demand response The capacity available to NS Power to reduce system peak demand via demand capacity response events. Cumulative net demand Sum of incremental net demand savings across...

AI summary The glossary defines key terms related to demand-side management (DSM) and energy efficiency, including cumulative net demand and energy savings, DSM forecasts, and resource plans. These definitions help clarify the scope and performance metrics of DSM programs.

- 6 Table 2: DSM Resource Plan Filing Content Item Description 1. Introduction Introduce the DSM Resource Plan and summarize any E1–NS Power agreements (attach as appendices). Include relevant background and history, including past DSM Pla...

AI summary The document outlines the requirements for the DSM Resource Plan filing, including sections on introduction, previous plan results, plan development, proposed DSM resource plan, alternate scenarios, additional items, and conclusion. It specifies the need for detailed metrics, program descriptions, and cost-effectiveness justifications.

4.2 DSM Resource Plan Research

AI summary Section 4.2 discusses research related to Demand Side Management (DSM) resource planning in Nova Scotia, involving regulatory bodies, programs, and analyses of energy efficiency, demand response, and cost recovery mechanisms.

4.3.4 DSM Programs - E1 will propose DSM programs for Residential and the Business, Non-profit and Institutional (BNI) - sectors which may include Residential Efficient Product Rebates, Existing Residential, New - Residential, BNI Efficien...

AI summary E1 will propose Demand Side Management (DSM) programs targeting Residential and Business, Non-Profit & Institutional (BNI) sectors, including rebates, incentives, and demand response initiatives. The proposal outlines various program types such as residential and BNI efficient product rebates, custom incentives, and direct installation.

4.3.5 Enabling Strategies - E1 will propose Enabling Strategies such as Education and Outreach, Development and Research, - Other Enabling Strategies; and additional categories as proposed. - For activities requiring an annual investment o...

AI summary E1 plans to propose Enabling Strategies, including Education and Outreach and Development and Research. For investments over $100,000 benefiting specific rate classes, 75% of the participant benefit portion will be allocated to those classes, while the system benefit portion (25%) is based on energy and demand requirements. Section 4.3.5 will be updated to reflect the NSEB's Decision in Matter M12451 and NS Power's 2026 General Rate Application.

EfficiencyOne

AI summary The document heading 'EfficiencyOne' indicates a regulatory proceeding context in Nova Scotia. No further content is provided in the text, so no additional details, arguments, or references can be extracted.

Holder of the Efficiency Nova Scotia Franchise

AI summary The document pertains to the Holder of the Efficiency Nova Scotia Franchise, a program focused on energy efficiency initiatives in Nova Scotia. No specific arguments, entities, or citations are detailed in the provided text, which consists solely of the heading.

1. EXECUTIVE SUMMARY - EfficiencyOne ("E1") delivers demand side management ("DSM") programs and is the - administrator and operator of the Efficiency Nova Scotia ("ENS") franchise. The 2025 Annual - Progress Report ("APR") summarizes E1's...

AI summary EfficiencyOne (E1) reports on its 2025 progress toward DSM program targets, including energy and demand savings. E1's 2023-2025 DSM Plan was approved by NSUARB in 2022, and its 2026 extension by NSEB in 2025. The approved plan includes $236.8M investment and four performance targets. In 2025, E1 achieved 82% progress toward the 528.7 GWh energy savings target.

2025 and overall 2023-2025 spending being within the approved $173.0 million investment level; but also contributed to energy savings and demands savings coming in lower than the 2025 Plan targets. Demand savings for both E1's Residential...

AI summary The 2025 Plan's energy and demand savings fell below targets due to factors like NS Power's cybersecurity incident, program adjustments (e.g., LED measures removal), federal grant closures, and declining program efficacy. Residential Behaviour's energy savings dropped significantly, impacting overall results. Green Heat and Appliance Retirement programs ended due to sustained low savings.

Table 1: 2025 Results to 2025 Plan as Approved and 2025 Year-End Forecast 20: 25 Plan as Appro ved 2 025 Year-End Fo recast 2025 Results Results to Forecas t Resul its to Plan as App oved Energy Efficiency (EE) Programs Efficient Product R...

AI summary The table compares 2025 results with the 2025 Plan as approved and the 2025 Year-End Forecast for Energy Efficiency (EE) Programs. It includes metrics for various initiatives such as Efficient Product Rebates, Appliance Retirement, and Instant Savings, showing performance against targets and forecasts.

2.2 2025 Participation Result[s](#page-11-0) - [Table 2](#page-11-0) presents E1's 2025 participation results. The table provides a comparison of 2025 - participation results to those modelled in the 2025 Plan and the four-year Plan period...

AI summary E1's 2025 participation results show mixed outcomes compared to the 2025 Plan. Higher participation occurred in Instant Savings, Affordable Homes programs, and Business Energy Rebates due to retailer sales, faster project completion, and rebate promotions. Lower participation was observed in Efficient Product Installation (phasing out lighting measures), Green Heat (ended in 2025), and Demand Response (unpursued pathways). The Custom program exceeded energy savings despite lower participation.

- Affordable Single-family Homes' unit cost was lower than the 2025 Plan, as the energy savings were higher than expected, driven primarily by increased participation; and costs were lower, in part due to the transition in 2025 to managing...

AI summary The 2025 unit costs for DSM programs show mixed results: Affordable Single-family Homes had lower costs due to higher energy savings and project transitions, while Efficient Product Installation and Green Heat exceeded the 2025 Plan due to cost shifts and reduced savings. Home Energy Assessment costs were lower due to grant incentives. Factors like heating source splits and program adjustments influenced outcomes.

1 3. 2023-2026 DSM PLAN PERIOD 2 E1's four-year Plan period outlook provides additional insight on the DSM Plan implementation after the first three years. It includes 3 E1's actual savings results and expenditures from 2023, 2024, and 202...

AI summary E1's 2023-2026 DSM Plan includes a $236.8 million investment, targeting 90% compliance on four performance metrics: energy savings, demand savings, available capacity, and energy efficiency in affordable housing and Mi'kmaw homes. The plan incorporates actual 2023-2025 results and the 2026 approved plan.

e no longer offered, updating products that are offered in a different program component or format, and updating new savings parameters in cases for which a comprehensive impact evaluation is planned. While the 2024 Measure Assessment Date...

AI summary The 2025 Evaluation Activities involved a smaller-scope update to the Measure Assessment compared to 2024, with targeted technical revisions to improve methodological consistency. Annual adjustment ratios were updated, and results for E1's Residential and BNI sector energy efficiency programs, as well as E1's Demand Response program, are detailed in subsequent sections.

4.2.1 Residential Efficient Product Rebates The Residential Efficient Product Rebates program consists of two program components: - 1 Appliance Retirement; and - 2 Instant Savings.

AI summary The Residential Efficient Product Rebates program includes two components: Appliance Retirement and Instant Savings, aimed at promoting energy efficiency in residential settings.

Program Components - Appliance Retirement retires old, inefficient household appliances (e.g., refrigerators, freezers, room air conditioners) by offering free appliance pick-up from homes, proper recycling, and a financial incentive. The...

AI summary The Appliance Retirement program retired inefficient appliances until January 2025, offering incentives and recycling. Instant Savings provides rebates for energy-efficient purchases. Both programs aim to improve energy efficiency and reduce consumption.

RESIDENTIAL EFFICIENT PRODUCT REBATES (2025) • From 2012 to the end of the program, Appliance Retirement retired or replaced a total of 77,981 old and inefficient appliances from homes and schools.[8](#page-26-1)

AI summary The Appliance Retirement program, from 2012 to its conclusion, retired or replaced 77,981 inefficient appliances in homes and schools, contributing to energy efficiency efforts in Nova Scotia. The data is cited in a footnote referencing page 26.

Instant Savings Highlights - As of January 1, 2025, the Instant Savings program component ended rebates for dehumidifiers, and LED bulbs, fixtures, and recessed downlights. Dehumidifiers had reached baseline efficiency (nonenergy-efficient...

AI summary The Instant Savings program ended rebates for dehumidifiers, LED bulbs, and fixtures by 2025 due to efficiency baselines shifting to LED. Rebate eligibility changed mid-2025 to manage spending under the 2023-2025 Plan, excluding several products until 2026. Other products like heat pump water heaters retained rebates.

2 4.2.2 Existing Residential - 3 The Existing Residential program consists of the following program components: - 4 Affordable Multifamily Housing; - 5 Affordable Single-family Homes; - 6 Efficient Product Installation; - 7 Green Heat; - 8...

AI summary The Existing Residential program includes components such as Affordable Multifamily Housing, Efficient Product Installation, and Green Heat. It references the 2025 DSM Programs Evaluation Reports, Final DSM Reports, and the Residential Efficient Product Rebates Program.

1 Table 7: 2025 Existing Residential EXISTING RESIDENTIAL (2025) Existing Residential Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2025 Results 35.3 9.6 24.7 2025 Plan 60.6 10.2 23.6 - Existing Residential did not achie...

AI summary The 2025 Existing Residential program did not meet its energy savings targets due to the pause of the Residential Behaviour program component from May to December 2025, caused by a cybersecurity incident at NS Power and the unavailability of AMI customer data. This resulted in no energy savings being generated through this program component for eight months.

Affordable Multifamily Housing and Non-Profit Organizations Highlights - Affordable Multifamily Housing energy savings achieved were consistent with 2024, but lower than set out in the 2025 Plan as Approved, with 98 projects being complete...

AI summary Affordable Multifamily Housing energy savings in 2025 were lower than the 2025 Plan's targets, with 98 projects completed and 71 initiated (down from 2024). Key factors included reduced prescriptive mini-split heat pump savings due to 2024 Green Heat evaluation adjustments and the end of provincial DSM incentive top-ups since 2021. Mitigation efforts included process improvements, cross-team collaboration, and targeted marketing.

Affordable Single-family Homes - Affordable Single-family Homes more than doubled the energy and demand savings targets set out for the program component in the 2025 Plan as Approved, achieving 6.1 GWh in energy savings and 2.3 MW in deman...

AI summary The Affordable Single-family Homes program exceeded 2025 energy and demand savings targets (6.1 GWh and 2.3 MW), driven by improved project management and contractor collaboration. Participant completions increased due to streamlined processes, and backlog prioritization addressed long-waiting applicants.

Efficient Product Installation Highlights • Efficient Product Installation energy and demand savings results were lower than the 2025 Plan as Approved targets, as the program component phased out its lighting measures as of July 1, 2025 Da...

AI summary Efficient Product Installation program savings fell short of 2025 targets due to phasing out lighting measures by July 2025 and shifting focus to electrician-installed measures (smart thermostats, sensors). Despite a 12% drop in average energy savings per participant, higher unitary savings from new measures offset some losses. Air-sealing and water-saving measures were paused in 2025 but reintroduced in 2026. The program also supported Residential Demand Response with 13,687 devices installed in 2025.

Home Energy Assessment Highlights - Home Energy Assessment exceeded its 2025 Plan as Approved energy and demand savings targets, but results declined from 2023 and 2024 levels, as expected, following the Canada Greener Homes Grant (which E...

AI summary The Home Energy Assessment program met 2025 energy and demand savings targets but saw declining results post-2023 due to the Canada Greener Homes Grant closing in Q1 2024. Remaining grant participants must complete assessments by November 2025, with rebate processing expected by March 2026. The program was integrated into E1's Customer Information System in 2025, with process improvements ongoing.

Mi'kmaw Home Energy Efficiency Project Highlights - The Mi'kmaw Home Energy Efficiency Project program component achieved its 2025 Plan as Approved demand savings target and participation estimates, while energy savings results were lower...

AI summary The Mi'kmaw Home Energy Efficiency Project met its 2025 demand savings target but fell short of energy savings expectations due to modelling overestimation. The program, now in its eighth cohort since 2018, plans to end in 2027. E1 released a 2024 Impact Report detailing results and is assessing unparticipated homes for future planning.

1 4.3 Business, Non-Profit and Institutional (BNI) Sector Results - 2 The BNI sector is comprised of the following programs: - 3 Efficient Product Rebates; - 4 Custom Incentives; and - 5 Direct Installation. 6 - 7 In 2025, the BNI sector a...

AI summary The BNI sector in Nova Scotia achieved 82.6 GWh energy savings and 13.5 MW peak demand savings in 2025, exceeding 2025 Plan targets. Key programs include Efficient Product Rebates, Custom Incentives, and Direct Installation. E1's Energy Manager initiative contributed to DSM savings, with 30 Energy Managers active by year-end. Variance explanations were provided for programs deviating by ±25% from targets.

23 4.3.1 Efficient Product Rebates 24 The 2025 Efficient Product Rebates program is marketed as Business Energy Rebates.

AI summary The 2025 Efficient Product Rebates program, marketed as Business Energy Rebates, is discussed in the context of Nova Scotia's regulatory proceedings. The NSUARB and NSEB are involved in reviewing demand-side management (DSM) initiatives, with program administrator costs (PAC) being a relevant factor.

1 Table 8: 2025 BNI Efficient Product Rebates BNI EFFICIENT PRODUCT REBATES (2025) BNI Efficient Product Rebates Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2025 Results 40.2 5.3 8.2 2025 Plan 38.5 7.2 8.4 • As compare...

AI summary The 2025 BNI Efficient Product Rebates exceeded energy savings targets (40.2 GWh vs. 38.5 GWh) but underperformed on demand savings (5.3 MW vs. 7.2 MW). Lower demand savings were attributed to high uptake of solar PV projects, which provided no demand savings despite being a pilot program from Q2 2024 to Q2 2025. Expenditure remained slightly below the plan at $8.2 million.

Program Component • The Business Energy Rebates program component provides financial incentives in the form of prescriptive rebates to BNI participants through both the Application Rebates and the Instant Rebate service. Application Rebate...

AI summary The Business Energy Rebates program offers financial incentives through Application Rebates (requiring project applications to E1 via Efficiency Nova Scotia's website) and Instant Rebates via participating distributors across Nova Scotia.

Business Energy Rebates Highlights - Business Energy Rebates achieved 40.2 GWh in energy savings and 5.3 MW in demand savings in 2025, meeting its 2025 Plan as Approved energy savings target, while demand savings were lower than the Plan t...

AI summary Business Energy Rebates met 2025 energy savings targets (40.2 GWh) but fell short on demand savings (5.3 MW). Program adjustments included rebate reductions, removal of solar PV and T8 LED rebates, and marketing campaigns targeting contractors. Market research indicated LED dominance in commercial fixtures, aligning with program shifts toward sustainable technologies.

7 Table 9: 2025 Custom Incentives CUSTOM INCENTIVES (2025) Custom Incentives Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2025 Results 34.5 6.7 8.5 2025 Plan 26.8 5.1 8.6 • Custom Incentives exceeded its 2025 Plan as Ap...

AI summary The Custom Incentives program exceeded its 2025 Plan targets for energy and demand savings (34.5 GWh and 6.7 MW, respectively), driven by high-savings projects completed in 2025. Expenditures aligned with the Plan's $8.6 million budget, continuing a trend from 2024.

Custom Highlights • Custom exceeded its 2025 Plan as Approved energy and demand savings targets as several highsavings projects closed in 2025, consistent with a trend seen in 2024. All Custom services – Building Optimization, Retrofit, Ne...

AI summary Custom exceeded its 2025 energy and demand savings targets due to high-savings projects closing in 2025, consistent with 2024 trends. All Custom services completed projects in 2025.

CUSTOM INCENTIVES (2025) The Retrofit and Pay-for-Performance services also had some partial savings claims. [10](#page-34-0) The Retrofit and New Construction services accounted for most of the energy and demand savings achieved. - o The...

AI summary In 2025, Nova Scotia's Retrofit and New Construction services achieved significant energy savings, while Pay-for-Performance faced delays due to a cybersecurity incident at NS Power. The New Construction team is preparing for the 2020 NECB Tier 1 code adoption, with impacts expected by 2026-2027. Partial savings claims were reported across multiple programs.

Strategic Energy Management (SEM) - Strategic Energy Management supported 12 participants in 2025; nine continuing participants and three new participants. Eleven of the 12 participants achieved a combined 4.0 GWh in energy savings, which...

AI summary Strategic Energy Management (SEM) supported 12 participants in 2025, achieving 4.0 GWh in energy savings. Compressed air leak repair measures accounted for 54% of the savings. Performance-based incentives were offered to customers, with additional incentives for those in the Large Industrial initiative. The service provider contract was renewed for the same provider since 2018.

Small Business Energy Solution Highlights - Interest in the program remained strong and the number of applications was high throughout 2025, following changes to the program component in Q2 2024 – increasing the eligibility cap for busines...

AI summary The Small Business Energy Solution program saw strong interest in 2025 due to 2024 changes, including higher eligibility caps, extended preapproval windows, and increased incentives. Market research found that commercial fixture markets are LED-dominated, but lamp markets lag with non-LED inventory still present.

DIRECT INSTALLATION (2025) to serve customers who have not done a full LED retrofit, and DSM program administrators are shifting programs in response to the BNI LED transformation. As recommended by the evaluator, E1 will phase out lightin...

AI summary E1 plans to phase out lighting rebates in Small Business Energy Solutions by 2028 due to the BNI LED transformation, prompting DSM program administrators to adjust their programs.

2025/2026 season (December 1, 2025 to February 28, 2026) preparations - Eco Shift device installation ramped up throughout 2025, with 13,687 demand response eligible devices (smart thermostats and domestic hot water direct load controllers...

AI summary Eco Shift program installed 13,687 demand response devices in 2025, with 18,234 total since August 2024. E1 ensured device readiness, ran marketing campaigns, and expects residential demand response capacity to double in 2025/2026. Efforts focus on optimizing thermostat strategies and connectivity.

2 4.5 Low-Income, Diverse, Underserved Communities - 3 In 2025, E1 updated its assumptions and estimation methodology for calculating impacts from - 4 E1's dedicated program components (Affordable Multifamily Housing, Affordable Single-Fam...

AI summary E1 updated its methodology for calculating low-income and equity impacts from its DSM programs in 2025. Dedicated programs like Affordable Multifamily Housing and the Mi'kmaw Home Energy Efficiency Project exclusively serve low-income communities. Non-targeted programs saw changes, including the Appliance Retirement program's end and revised assumptions for Business Energy Rebates. The methodology was filed with E1's 2026 DSM Extension Application.

4.5.1 Performance Target For the 2023-2026 Plan as Approved, the NSEB established a Performance Target of 19.8 GWh for cumulative annual energy savings applicable to Affordable Single-family Homes, Affordable Multifamily Housing, and Mi'km...

AI summary The NSEB set a 19.8 GWh energy savings target for the 2023-2026 Plan. E1 exceeded its 2025 target for Affordable Single-family Homes but fell short in Affordable Multifamily and Mi'kmaw projects, though overall targets were met. E1 forecasts achieving the 19.8 GWh cumulative target by 2026. Table 12 details 2025 results.

Table 12: 2025 Results Applicable to Affordable Single-family Homes, Affordable Multifamily Housing, and Mi'kmaw Home Energy Efficiency

AI summary Table 12 outlines 2025 energy efficiency results for affordable single-family and multifamily homes, as well as Mi'kmaw housing, under Nova Scotia regulatory proceedings. Key entities include NSUARB, NSEB, and E1, with topics focusing on energy efficiency and affordability.

4.5.2 Performance Indicator The NSEB also approved a Performance Indicator of incidental cumulative annual energy savings of 30.2 GWh applicable to low-income and underserved communities from non-targeted programs. [19](#page-42-1) 2025 en...

AI summary The NSEB approved a 30.2 GWh cumulative energy savings target for low-income and underserved communities via non-targeted programs. By 2025, cumulative savings reached 29.9 GWh (99% of the target), but 2025's 3.5 GWh fell short of the annual target due to E1's updated methodology, which reduced assumptions about low-income and equity impacts.

1 Table 13: 2025 Results Applicable to Low-Income and Underserved Communities, Non-Targeted Programs 2025 Plan Performance Indicators 2025 Forecast (Year-End) 2025 Results First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak...

AI summary Table 13 presents 2025 results for low-income and underserved communities under non-targeted programs, including energy savings, participation numbers, and expenditures. The table covers various programs such as efficient product rebates, appliance retirement, and residential behavior initiatives, with data on first-year and lifetime energy savings, peak demand reductions, and investment figures.

10 Table 14: 2025 Enabling Strategies ENABLING STRATEGIES 2025 Enabling Strategies category 2025 Plan as Approved expenditures ($ million) 2025 Year-end forecast expenditures ($ million) 2025 Actual Expenditures ($ million) Education and O...

AI summary 2025 Enabling Strategies actual expenditures exceeded approved plans, driven by Regulatory department activities on the 2026 DSM Extension application, E1's BCA test approval, and the 2027-2031 DSM Plan development. The plan includes strategic electrification and solar-PV resources.

Research activities in 2025 included: - Quarterly tracking of quality assurance, participant satisfaction, and other attitudinal metrics among Nova Scotia households took place throughout 2025, to help E1 respond to changing market conditi...

AI summary In 2025, research activities included quarterly tracking of household metrics and completion of surveys for E1 programs, including the Mi'kmaw Home Energy Efficiency Project and Demand Response. Findings informed program improvements and participant satisfaction tracking.

Innovation activities in 2025 included: - The deep retrofit navigator pilot concluded in Q2, with all participants completing their upgrades and final paperwork. The aim of the pilot, conducted in partnership with the Halifax Regional Muni...

AI summary In 2025, Nova Scotia launched multiple innovation pilots: a deep retrofit navigator pilot with HRM, a heat pump water heater market transformation pilot, a load flexibility demand response pilot, and research on mixed electric heating control solutions. Pilots highlighted challenges like cost and time, while emphasizing navigators' role in retrofit accessibility and exploring new demand response event types. E1 also installed monitoring systems to improve heat pump efficiency.

ATTACHMENT 1: 2025 RATE CLASS RESULTS

AI summary Attachment 1 outlines the 2025 Rate Class Results from a Nova Scotia regulatory proceeding, involving entities like NSUARB, NSEB, and programs such as E1 and MHEEP. It reflects ongoing efforts in energy efficiency and cost analysis under regulatory oversight.

Attachment 1: 2025 Rate Class Results

AI summary Attachment 1 outlines 2025 rate class results from a Nova Scotia regulatory proceeding, likely involving utility rate structures and energy efficiency programs. Key stakeholders include regulatory bodies and program administrators, with focus on cost allocations and compliance standards.

2. 2025 RESULTS BY RATE CLASS 2025 actual expenditures were slightly lower than the 2025 Plan as Approved expenditures. Similar to 2024, the medium industrial rate class had the highest spending increase compared to the 2025 Plan, driven b...

AI summary 2025 actual expenditures were slightly lower than the approved plan, with medium industrial rate class spending rising due to higher BNI Demand Response participation. Municipal and small general rate classes exceeded planned spending from increased BNI Efficient Product Rebates participation, while large general and small industrial classes had lower spending due to reduced participation in Demand Response and Custom Incentives programs. Program timing and participant mix influenced outcomes.

16 2025 Rate Class Results by Program - 17 [Tables 2-6 p](#page-55-0)rovide a breakdown of 2025 net incremental energy and net peak demand savings, - 18 expenditures, and participation achieved by rate class within the energy efficiency pr...

AI summary Tables 2-6 provide 2025 data on net incremental energy and peak demand savings, expenditures, and participation by rate class across energy efficiency programs. The analysis focuses on program outcomes and financial metrics.

13 Custom Incentives includes the Custom program component and the Strategic Energy Management program component. Strategic Energy 14 Management participants are each counted once, but their participation is ongoing throughout the year. 15...

AI summary The text describes the Custom Incentives program, which includes the Custom program component and the Strategic Energy Management program component. Strategic Energy Management participants are counted once but remain active throughout the year. The program also includes certain residential customers, such as farms and rental buildings. BNI Efficient Product Rebates similarly includes some residential participants.

1 Table 6: 2025 Direct Installation Rate Class Results Direct Installation (2025) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Expenditures ($ million) Products (#) Residential/Charitable (2,3,4) 0...

AI summary Table 6 outlines the 2025 Direct Installation Rate Class Results, showing energy and demand savings, expenditures, and number of products across various rate classes. The data indicates significant savings in energy and peak demand for residential, small general, and general rate classes, while some industrial and municipal classes show minimal or no savings.

Table 1 Update on Implementation of 2022-2023 Evaluation Recommendations Year Evaluation/ Verification Recommendation Text Source Status Comments Expected Period of Completion 2023 Better communicate the value of energy management to both...

AI summary The 2023-SEM-R3 recommendation emphasizes better communication of the value of energy management, particularly its role in decarbonization, to both participants and non-participants. E1 agrees and implemented actions in 2024 and 2025, including aligning messaging with decarbonization goals and involving the SEM Service Provider in customer discussions.

DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Adjustment ratio The ratio of evaluated results to tracked results. This ratio expresses the adjustment made to tracked savings or other tracked values such as...

AI summary The text provides definitions related to energy efficiency and demand response programs, including terms such as adjustment ratio, available demand response capacity, and baseline. These definitions are critical for understanding how energy savings and program effectiveness are measured.

EfficiencyOne (E1), an independent, non-profit organization, is responsible for helping Nova Scotians improve the energy efficiency of their homes and workplaces by designing, marketing, and delivering demand-side management (DSM) for Nova...

AI summary EfficiencyOne (E1), a non-profit organization, delivers demand-side management (DSM) programs through the Efficiency Nova Scotia (ENS) franchise. E1's 2025 DSM program portfolio achieved significant energy and demand savings, including 129.444 GWh in net electrical energy savings and 60,748 tonnes of CO2 eq in avoided emissions. Econoler, along with other evaluators, conducted the evaluation of these programs.

1.1 Impact Evaluation Objectives and Scope The impact evaluation activities were aimed at determining: - › Gross electrical energy and peak demand savings at the meter and at the generator - › Available DR capacity for DR programs - › Net-...

AI summary The impact evaluation objectives include assessing energy savings, demand response capacity, net-to-gross ratios, effective useful life, and GHG emissions. Two evaluation types (comprehensive and condensed) are outlined, with factors like program maturity and complexity influencing their application.

Demand-side Management Measure Assessment Document The impact evaluation scope for 2025 also included an update of the Demand-side Management Measure Assessment (DSM MA) document. The DSM MA was updated to include new products added to pro...

AI summary The 2025 update to the DSM MA document focused on aligning with updated program offerings, removing outdated products (e.g., lighting from Instant Savings), revising algorithms for residential and commercial measures, and correcting technical inconsistencies. Annual adjustment ratios were also updated. Key changes included additions like smart thermostat load control and removals such as specific LED fixtures and heat pump water heaters.

Table 3: 2025 Interviews Completed Program Component 1 Program Manager/ E1 Staff/Business Development Manager Service Providers/ Distributors/Retailers/Builders Participants Program Manager in Other Jurisdictions Residential Appliance Reti...

AI summary Table 3 outlines the number of interviews conducted in 2025 for various program components, including Residential, Business Energy Rebates, and Demand Response. The data indicates the involvement of program managers, service providers, participants, and managers from other jurisdictions.

Table 4: 2025 Site Visits and Project Reviews with Follow-up Site Visits or Interviews Program Component Project Reviews Followed by Site Visits Project Reviews Followed by Phone Interviews Project Reviews Without Site Visits or Phone Inte...

AI summary Table 4 outlines the 2025 site visits and project reviews conducted under various programs, including Affordable Multifamily Housing, Business Energy Rebates, Strategic Energy Management, and Demand Response, with specific numbers of reviews followed by site visits, phone interviews, or no follow-up.

2.1.5 Effective Useful Life Review As part of the 2025 DSM MA update, the Evaluator only reviewed the EUL values for lighting measures and relied on previously established EUL values for other measures. Lighting measure EUL values were upd...

AI summary The 2025 DSM MA updated Effective Useful Life (EUL) values for lighting measures based on BNI market research, using a method that accounts for baseline evolution and equipment replacement timelines. A NS Power cybersecurity incident disrupted AMI data access after April 2025, impacting EUL calculations.

2.1.6 Gross Savings Analysis Gross savings refer to changes in energy consumption resulting from actions taken by participants regardless of their reasons for participating in a program. Upon completion of the impact evaluation activities...

AI summary Gross savings analysis quantifies energy consumption changes from program participation, regardless of motivation. The Evaluator calculated evaluated gross savings by compiling savings from implemented measures and compared results with E1's data, focusing on program component effectiveness and parameter evaluation.

Avoided GHG Emission Calculations The Evaluator estimated the avoided annual GHG emissions resulting from the electrical energy savings generated through all program components. For 2025, avoided GHG emissions were estimated by using a Nov...

AI summary The Evaluator estimated avoided annual GHG emissions from energy savings in 2025 using a Nova Scotia-specific factor of 469.3 tonnes CO2 eq/GWh, updated with NS Power's latest data on system emissions and electricity generation.

Table 5: Comparison of 2025 Evaluated and Tracked Electrical Energy Savings at the Generator a Program Component Tracked Results Evaluated Results DSM Program Annual Gross Savings (GWh) Annual Net Savings (GWh) Annual Gross Savings (GWh) N...

AI summary Table 5 compares the evaluated and tracked electrical energy savings from various programs in 2025. It includes data on residential and BNI programs, showing gross and net savings, net-to-gross ratios, lifetime savings, and net realization rates for each component.

Residential Efficient Product Rebates In 2025, Residential Efficient Product Rebates achieved net electrical energy and peak demand savings of 11.545 GWh and 0.483 MW respectively at the generator. This program consists of two components,...

AI summary In 2025, Nova Scotia's Residential Efficient Product Rebates program achieved 11.545 GWh of electrical energy savings and 0.483 MW of peak demand savings. The program includes two components: Appliance Retirement (ARet) and Instant Savings, with results detailed for each.

Instant Savings - › Instant Savings surpassed its net electrical energy savings target by 18% and fell short of its peak demand savings target by 52%. - › Following the removal of LED lighting products and dehumidifiers from the Instant Sa...

AI summary Instant Savings exceeded its net electrical energy savings target by 18% but missed its peak demand savings target by 52%. Participation dropped 71% after removing LED lighting and dehumidifiers. Controls now account for 61% of rebated products and 68% of energy savings. Discrepancies exist between evaluator and E1 tracked savings, and the program's NTGR was updated to 0.77 in 2025.

Existing Residential In 2025, the net electrical energy savings for Existing Residential reached 35.274 GWh at the generator, while the net peak demand savings amounted to 9.584 MW at the generator. Existing Residential is comprised of Aff...

AI summary In 2025, Existing Residential programs achieved 35.274 GWh net electrical energy savings and 9.584 MW peak demand savings. The programs include Affordable Multifamily Housing, Affordable Single-family Homes, Efficient Product Installation, Green Heat, Home Energy Assessment, Mi'kmaw Home Energy Efficiency Project, and Residential Behaviour.

Affordable Multifamily Housing - › In 2025, AMH achieved 1.378 GWh in net electrical energy savings and 0.648 MW in net peak demand savings at the generator, thus falling 27% short of planned net electrical energy savings of 1.880 GWh and...

AI summary In 2025, AMH achieved 1.378 GWh in net electrical energy savings (27% below target) and 0.648 MW in peak demand savings (13% above target). Participation rose 18% to 98 projects, with 19% higher energy savings and 14% higher peak demand savings compared to 2024. EFLH values were confirmed valid for prescriptive heat pump projects, and E1's tracked savings aligned with evaluations.

Affordable Single-family Homes - › ASFH achieved 6.135 GWh in net electrical energy savings and 2.338 MW in net peak demand savings at the generator in 2025, thus exceeding the planned electrical energy and peak demand savings targets by 1...

AI summary ASFH exceeded 2025 energy savings targets by 114% (6.135 GWh) and 183% (2.338 MW) due to increased participation (1,920 homes, +59% YoY). EPI underperformed targets by 46% (7.300 GWh) and 68% (0.509 MW) due to decreased participation (-7.5%) and measure retirements, though savings realization rates reached 99-100% post-NTGR recalibration.

Home Energy Assessment - › In 2025, HEA achieved 13.820 GWh in net electrical energy savings and 4.578 MW in net peak demand savings at the generator, thus exceeding by 61% planned net electrical energy savings of 8.580 GWh and falling sho...

AI summary In 2025, HEA exceeded electrical energy savings targets by 61% but missed peak demand savings by 6%. Participation dropped 42% from 2024 due to CGH Grant closure, with solar PV contributing 56% of savings (down from 74% in 2024). Realization rates reached 100% for both energy and peak demand savings.

Mi'kmaw Home Energy Efficiency Project - › In 2025, MHEEP achieved 0.337 GWh in net electrical energy savings and 0.319 MW in net peak demand savings at the generator, thus falling 39% short of planned net electrical energy savings of 0.54...

AI summary In 2025, the Mi'kmaw Home Energy Efficiency Project (MHEEP) achieved 39% less electrical energy savings than planned but exceeded peak demand savings targets by 104%. Participation dropped 18%, reducing gross savings. Methodological changes limited peak demand savings evaluations to fully electric households, aligning with 2024 Green Heat analysis.

› Instant Rebates: - › Instant Rebates saw a 79% increase in participation compared to 2024 levels, which was largely driven by the promotion of T8 LED linear lamps in the first quarter of 2025. - › Average interactive effects factors calc...

AI summary Instant Rebates experienced a 79% participation increase in 2025, driven by T8 LED lamp promotions. Evaluation showed 4% higher net electrical energy savings but 6% lower peak demand savings than tracked results, attributed to updated line loss factors and interactive effects calculations.

Custom Incentives In 2025, Custom Incentives achieved 34.519 GWh in net electrical energy savings and 6.744 MW in net peak demand savings at the generator through its two components, namely Custom and Strategic Energy Management. Custom co...

AI summary In 2025, Custom Incentives achieved 34.519 GWh in net electrical energy savings and 6.744 MW in net peak demand savings through its Custom and Strategic Energy Management components. Custom includes Retrofit, Pay-for-Performance, New Construction, and Building Optimization services.

Custom - › Custom achieved 30.487 GWh in net electrical energy savings and 6.372 MW in net peak demand savings at the generator in 2025, thereby surpassing by 26% the planned electrical energy savings of 24.160 GWh and by 32% the planned p...

AI summary Custom program achieved 30.487 GWh in electrical energy savings and 6.372 MW in peak demand savings in 2025, exceeding targets by 26% and 32% respectively. Participation trends, adjustment ratios (0.993–1.011 for Retrofit), free-ridership levels (8%–38%), and a 8% discrepancy between Evaluator and E1 savings tracking were reported.

Strategic Energy Management - › In 2025, SEM achieved 4.031 GWh in net electrical energy savings and 0.372 MW in net peak demand savings at the generator, thus exceeding the 2.657 GWh target by 52% and the planned 0.289 MW in net peak dema...

AI summary In 2025, Strategic Energy Management (SEM) exceeded energy and peak demand savings targets by 52% and 29%, respectively, with 11 completed projects. However, energy savings per participant declined. Compressed air leak repairs contributed 54% of savings, and E1's measurement guidelines were largely followed despite evaluator adjustments.

Small Business Energy Solutions - › In 2025, SBES achieved 7.862 GWh in net electrical energy savings and 1.414 MW in net peak demand savings at the generator, falling short of the net electrical energy savings and net peak demand savings...

AI summary In 2025, SBES achieved 7.862 GWh in net electrical energy savings and 1.414 MW in peak demand savings, missing targets by 38% and 46% respectively. Evaluated savings slightly diverged from E1's tracked data, while DIY rebates accounted for 99% of units rebated.

Table 7: 2025 Free-ridership, Spillover, and NTGRs Program Component and Measure Type Free-ridership Levels Spillover Levels NTGRs Residential Appliance Retirementa Refrigerators 43% 0% 0.57 Freezers 45% 0.55 Air Conditioners 47% 0.53 Smal...

AI summary Table 7 presents the 2025 free-ridership, spillover, and net-to-gross ratios (NTGRs) for various energy efficiency programs and measures in residential settings. It highlights the proportion of free-ridership and spillover for different appliance types and efficiency measures, along with their corresponding NTGRs.

Table 8: 2025 Evaluated Net Lifetime Electrical Energy Savings at the Generator DSM Program Program Component Annual Net Electrical Energy Savings (GWh) Lifetime Net Electrical En ergy Savings (GWh) Weighted Average EUL (years) Share of An...

AI summary Table 8 presents the 2025 evaluated net lifetime electrical energy savings at the generator for various DSM programs, including appliance retirement, efficient product rebates, and home energy assessments. The table highlights the contribution of residential and BNI programs to annual and lifetime energy savings, with the residential subtotal contributing 36% of annual and 45% of lifetime savings, and BNI programs contributing 64% of annual and 55% of lifetime savings.

Table 10: 2025 Planned Net Savings and Evaluated Results Planned Savings Evaluated Results Variance Program Component and DSM Program Net Electrical Energy Savings (GWh) Net Peak Demand Savings (MW) Available DR Capacity (MW) Net Electrica...

AI summary Table 10 outlines the 2025 planned net savings and evaluated results for various residential and BNI programs under Demand Side Management (DSM). The data highlights discrepancies between planned and actual savings and capacity, with some programs showing significant variances.

Table 11: Evaluated Net Electrical Energy Savings at the Generator, 2020-2025 Electrical Energy Savings (GWh) Electrical Energy Savings (%) DSM Program Program Component 2020 2021 2022 2023 2024 2025 2020 2021 2022 2023 2024 2025 Residenti...

AI summary This table presents evaluated net electrical energy savings by program and year from 2020 to 2025, highlighting contributions from residential and BNI (Business, Non-profit, and Institutional) programs. It includes energy savings from initiatives like appliance retirement, efficient product rebates, and home energy assessments, with percentages indicating the share of total savings.

uction can be achieved for the grid. - › Program documentation has not kept pace with program changes. - The Evaluator noted that Residential DR program changes, dates of program changes. and rationales thereof are not clearly documented i...

AI summary The Residential Demand Response (RDR) program faces documentation gaps, with program changes not clearly recorded. While participant retention is high (90%), integration with EPI (Efficient Product Installation) has led to 40% non-enrollment in RDR among EPI participants. Issues include lack of unique identifiers and incomplete device data collection by installers.

Program Measure Date an Early Replacement Baseline Calculation Approach Comes into Effect Date of LED Baseline Expected to Come into Effect for All Projects Fixtures N/A – midstream program June 30, 2026 BER-IR Lamps N/A – midstream progra...

AI summary The table outlines the dates for the implementation of baseline calculation approaches and LED baseline dates for various lighting programs in Nova Scotia, including midstream and new construction initiatives, with some dates subject to confirmation through a 2026 market study.

Table 14: 2025 Recommendations on Residential Program Components No. Recommendation Residential DR – R1 Include all changes to the pilot and program in the program manual, including historical changes since the pilot was launched. Include...

AI summary Table 14 outlines 2025 recommendations for residential program components, focusing on improving the Residential Demand Response (DR) program and the Efficient Product Installation (EPI) process. Key recommendations include updating program manuals with historical changes, defining eligibility criteria, reorganizing sections for residential and BNI, and ensuring accurate data collection and device recording.

iciency of household refrigerating appliances, Applied Thermal Engineering, Volume 205 (117992), 25 March 2022. https://doi.org/10.1016/j.applthermaleng.2021.117992 (last accessed November 30, 2022). U.S. Department of Energy, Office of En...

AI summary The text lists references to energy efficiency regulations, appliance standards, and studies on household refrigeration and cooling technologies, citing organizations like Natural Resources Canada, the U.S. Department of Energy, and Efficiency Nova Scotia. It includes reports on energy conservation standards, EnerGuide directories, and evaluations of residential rebate programs.

Program Components Bibliographic References https://www.energystar.gov/products/water_heaters/water_heater_solar/benefits_savings. National Renewable Energy Laboratory. Benchmarking Utility-Scale PV Operational Expenses and Project Lifetim...

AI summary The document includes various bibliographic references and exhibits related to energy efficiency programs, appliance retirement, and emissions reporting. It cites resources from the National Renewable Energy Laboratory, Nova Scotia Utility and Review Board, and Nova Scotia Power.

NTGR Calculations Free-ridership algorithm Low Free-i Partici • High Free-ric Participa Medium Free-ri Participa D3. [ASK IF (D1=2 OR D2=2) AND NEW CONSTRUCTION=YES] Before learning about the Business Energy Rebates Program, what other lig...

AI summary The text presents a table related to free-ridership algorithm calculations, including a question about lighting options considered before the Business Energy Rebates Program and a planning score calculation. It includes fields for responses and inconsistency testing.

Table 1: Summary of 2025 Residential Efficient Product Rebates Program Evaluation Program Evaluation Type Component Impact Process Market Methodology Appliance Retirement Condensed › Tracking sheet audit › Calculations using evaluation res...

AI summary This table summarizes the evaluation of the 2025 Residential Efficient Product Rebates Program, focusing on the Appliance Retirement and Instant Savings components. It outlines the evaluation methodologies, including tracking sheet audits, NTGR calculations, and GHG emission reductions.

Table 2: Overall 2025 Residential Efficient Product Rebates Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit ARet Electrical Energy Savings 285 Appliances 0.205 G...

AI summary The Residential Efficient Product Rebates program exceeded its 2025 net electrical energy savings target by 6% but fell short of the peak demand savings target by 58%, primarily due to the Instant Savings component, which contributed the most to both energy and peak demand savings.

ARet Findings and Recommendations This subsection presents the key findings from the 2025 ARet evaluation. The Evaluator has no specific recommendation for ARet. 2025 ARet-Finding: With the program component having been discontinued in Jan...

AI summary The 2025 ARet evaluation found the program achieved only 9% of its electrical energy and peak demand savings targets after discontinuation in January 2025. Refrigerator and freezer retirements remained the primary drivers of participation and savings.

Table 3: Comparison of 2025 Tracked and Evaluated Savings at the Generator Gross Savings Net Savings Realization Value Unit NTGR Value Unit Rate Electrical Energy Savings Tracked Savings by E1 0.205 GWh 0.56 0.115 GWh Evaluation Results 0....

AI summary Table 3 compares tracked and evaluated savings at the generator for 2025, showing gross and net savings for electrical energy and peak demand. The data includes values from EfficiencyOne (E1) and evaluation results, with Net-to-Gross Ratios (NTGR) and realization rates provided for each category.

INTRODUCTION EfficiencyOne (E1), an independent and non-profit organization, is responsible for helping Nova Scotians improve the energy efficiency of their homes and workplaces by designing, marketing, and delivering demand-side managemen...

AI summary EfficiencyOne (E1), a non-profit organization, manages demand-side management (DSM) programs in Nova Scotia, funded by Nova Scotia Power (NS Power) ratepayers. E1's 2025 DSM program portfolio includes the Residential Efficient Product Rebates program, which has two components: Appliance Retirement (ARet) and Instant Savings. ARet was discontinued in January 2025, and an evaluation report was commissioned by E1.

Table 4: Types of Evaluation Conducted for Each Program Component, 2025 2025 Program Program Component Process Market Impact Residential Efficient Product Rebates ARet Condensed Instant Savings Condensed For each program, the Evaluator pre...

AI summary Table 4 outlines the types of evaluation conducted for each program component in 2025, including the Residential Efficient Product Rebates and Instant Savings. The Evaluator prepared a DSM evaluation report detailing key findings, energy savings, peak demand savings, and GHG emissions avoided.

1.1 ARet Description Through ARet, E1 promotes the retirement of old, inefficient household appliances such as refrigerators, freezers, room air conditioners, and dehumidifiers. ARet educates Nova Scotians about the cost of maintaining old...

AI summary ARet, managed by E1, retires inefficient household appliances in Nova Scotia, offering rebates and free pick-up services. ARCA Canada Inc. handles collection and recycling. Eligibility requires appliances to be 10+ years old, with specific size and rebate criteria. The program aimed for 1.247 GWh energy savings in 2025 but was discontinued in January 2025.

2 ARet Evaluation Approach The 2025 ARet evaluation involved a condensed impact evaluation. The main objectives were as follows: › Calculate gross and net results, namely first-year and lifetime electrical energy savings, peak demand savin...

AI summary The 2025 ARet evaluation focused on calculating gross and net results, including electrical energy savings, peak demand savings, and avoided GHG emissions. The Evaluator identified key research questions and outlined methodologies to achieve these objectives.

Calculations Using Evaluation Results The Evaluator calculated the first-year and lifetime electrical energy and peak demand savings per the calculation methodology presented in Section [3](#page-91-0) below.

AI summary The Evaluator calculated first-year and lifetime electrical energy and peak demand savings using a methodology outlined in Section 3. The calculations focus on quantifying energy efficiency outcomes from program evaluations.

3.2.1 Unitary Energy Savings There was no change in unitary energy savings in 2025. The detailed unitary energy savings calculations are presented in the 2025 DSM MA.

AI summary Unitary energy savings remained unchanged in 2025, with detailed calculations provided in the 2025 DSM MA. This indicates no shift in energy efficiency outcomes for the period, as documented in the referenced assessment.

3.2.3 Interactive Effects Interactive effects occur when the implementation of an energy efficiency measure has an impact on the energy consumption of other elements such as heating and cooling equipment. For ARet, retiring old appliances...

AI summary Interactive effects from appliance retirement (ARet) influence heating and cooling loads, with older appliances releasing more waste heat. The 2025 DSM MA evaluates these effects, concluding they are negligible (0% factor). This impacts energy consumption calculations for efficiency programs.

3.2.4 Effective Useful Life Effective useful life (EUL) values are used in the calculations of electrical energy savings that are expected to persist over time. For ARet, the lifetime energy savings and equivalent EUL values are highly inf...

AI summary Effective Useful Life (EUL) values are critical for calculating long-term electrical energy savings from appliance retirements (ARet). The 2025 DSM MA provided EUL values, with a weighted average of 4.0 years. Calculations consider the remaining useful life (RUL) of old appliances and apply EUL to first-year savings to estimate lifetime savings.

Table 6: Evaluated 2025 ARet Gross Electrical Energy and Peak Demand Savings Appliance Retirement Measure Category Refrigerators Freezers Room Air Conditioners Small Refrigerators Small Freezers Total Number of Units Retired 184 87 7 6 1 2...

AI summary Table 6 evaluates the 2025 gross electrical energy and peak demand savings from the Appliance Retirement (ARET) program. It details energy savings by appliance category, including units retired, energy savings at the meter and generator, and peak demand savings. Refrigerator and freezer retirements contribute the majority of first-year savings.

4 ARet Key Findings and Recommendations The 2025 ARet evaluation consisted of a condensed impact evaluation whose main objectives were as follows: › Calculate gross and net ARet results, namely electrical first-year and lifetime energy sav...

AI summary The 2025 ARet program underperformed, achieving only 9% of its electrical energy and peak demand targets. Net savings were 0.115 GWh and 0.017 MW, far below planned 1.247 GWh and 0.179 MW. Refrigerator/freezer retirements drove 96% of savings, but participation dropped 95% due to program discontinuation in January 2025.

5.2 Follow-up on Past Evaluation Report Recommendations No recommendations were made for Instant Savings in the 2024 evaluation. 9 No power bars with integrated timers were rebated in 2025.

AI summary The section notes no recommendations were made for Instant Savings in the 2024 evaluation. It also states no power bars with integrated timers were rebated in 2025, referencing a footnote. The text includes an image but no further details.

6 Instant Savings Evaluation Approach The 2025 Instant Savings evaluation included a condensed impact evaluation with a literature review to identify NTGR values to be applied to non-lighting measures included in the program. The main obje...

AI summary The 2025 Instant Savings evaluation aimed to calculate gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The evaluation included a literature review to identify NTGR values for non-lighting measures and outlined research questions, methods, and sample sizes.

Measure Assessment Update A unitary savings review was conducted for certain measures to update the DSM MA following the change to a LED baseline assumption for residential lighting. This prompted the removal of all rebates on LED lamps an...

AI summary The DSM MA was updated following a LED baseline assumption change, removing LED lamp rebates (except motion-sensor units), adjusting lighting control wattage, and revising EUL values. Savings algorithms for smart thermostats and fans were also updated. Amendment 18 to Canada's Energy Efficiency Regulations was reviewed but found to have no impact on Instant Savings during this evaluation period.

7 Instant Savings Impact Evaluation The objectives of the 2025 Instant Savings impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as EUL values and associate...

AI summary The 2025 Instant Savings impact evaluation aimed to assess gross and net electrical energy and peak demand savings, annual avoided GHG emissions, and Effective Useful Life (EUL) values with associated lifetime energy savings.

7.2 Gross Savings For Instant Savings, gross savings correspond to the change in energy consumption resulting from eligible energy efficient products being purchased by participants compared to the consumption level had those purchases not...

AI summary Gross savings for Instant Savings are defined as the reduction in energy consumption resulting from participants purchasing eligible energy-efficient products, compared to consumption levels if those purchases had not occurred. This metric evaluates the direct impact of program participation on energy use.

7.2.1 Installation Rates The installation rates of products sold under Instant Savings are assumed to be 100% except for smart power controllers for audiovisual equipment (smart power strips) for which the installation rate is assumed to b...

AI summary Installation rates for products under Instant Savings are assumed to be 100%, except for smart power strips at 86%. The 2025 DSM MA provides further details on these assumptions.

Table 15: 2025 Instant Savings Tracked and Evaluated Unitary Energy Savings[15](#page-108-4) Product Tracked Savings [kWh/year] Evaluated Savings [kWh/year] Dimmer Switches 8.20 3.42 Indoor Motion Sensors with Dimmer Switches 25.9 10.8 Out...

AI summary Table 15 presents the tracked and evaluated energy savings for various products under the 2025 Instant Savings program. The data shows a significant difference between tracked and evaluated savings, indicating potential discrepancies in the actual energy savings achieved by these products.

Table 16: 2025 Instant Savings Tracked and Evaluated Unitary Peak Demand Savings Product Tracked Savings [W] Evaluated Savings [W] ENERGY STAR Certified LED Fixtures with Motion Sensors 32.6 2.37 Dimmer Switches 1.33 0.554 Solar Fixtures 1...

AI summary Table 16 presents the tracked and evaluated unitary peak demand savings for various energy-efficient products in 2025. The table includes products like LED fixtures, dimmer switches, and bathroom fans, with significant differences between tracked and evaluated savings. Section 7.2.4 discusses interactive effects related to these savings.

7.2.5 Effective Useful Life The Evaluator validated the EUL values based on the 2025 DSM MA. The EUL values are used in the calculation of electrical energy savings that are expected to persist over time. [Table](#page-109-3) 17 below summ...

AI summary The Evaluator validated updated Effective Useful Life (EUL) values based on the 2025 DSM MA, which are used to calculate electrical energy savings over time. EUL values for LED fixtures with motion sensors and solar fixtures were updated due to a change in the LED baseline assumption, while other measures remained unchanged. The gross and net weighted average EUL for Instant Savings was set at 9.3 years.

Table 17: 2025 Instant Savings Equivalent EUL and Gross Lifetime Unitary Savings Values Product Tracked Equivalent EUL [years] Evaluated Equivalent EUL [years] Evaluated Gross Lifetime Unitary Savings [kWh] ENERGY STAR Certified LED Fixtur...

AI summary Table 17 presents 2025 Instant Savings Equivalent EUL and Gross Lifetime Unitary Savings Values for specific energy-efficient products. The table includes ENERGY STAR Certified LED Fixtures with Motion Sensors and Solar Fixtures, showing their tracked and evaluated Equivalent Useful Life (EUL) and evaluated gross lifetime unitary savings in kWh.

Table 18: Evaluated 2025 Instant Savings Gross Electrical Energy and Peak Demand Savings LED Non-A- type Lamps LED ENERGY STAR LED Fixtures 0.44 Product Category R, BR, and Decorative Others Recessed Downlight Fixtures Without Motion Senso...

AI summary Table 18 presents evaluated 2025 instant savings for gross electrical energy and peak demand savings across various product categories, including LED lamps, fixtures, and motion sensors. It includes metrics such as unitary energy savings, installation rates, and lifetime energy savings.

Evaluated 2025 Instant Savings Gross Electrical Energy and Peak Demand Savings (Continued) Product Category Efficient Combined Washers/Dryers Room Air Purifiers Dehumidifiers Pool Pumps Heat Pump Water Heaters High-efficiency Dishwashers B...

AI summary The document evaluates the 2025 Instant Savings Gross Electrical Energy and Peak Demand Savings for various product categories. It includes data on the number of units installed, energy savings, and peak demand savings, along with adjustments for interactive effects. Smart thermostats for electric heat and dimmer switches are noted as having the most significant impact on savings revisions.

7.3.1 Free-ridership For LED fixtures with motion sensors and solar fixtures, the free-ridership levels established in the 2024 Instant Savings evaluation were used. For certain non-lighting measures, namely clothes washers, clothes dryers...

AI summary The document discusses the free-ridership levels for various energy-efficient products, including LED fixtures with motion sensors, solar fixtures, and non-lighting measures such as clothes washers and dehumidifiers, referencing the 2024 Instant Savings evaluation and a literature review.

Table 22: 2025 Instant Savings Net-to-gross Ratios Product Free ridership Level Spillover Level Tracked Net to-gross Ratio Evaluated Net to-gross Ratio Dimmer Switches - - 1.00 0.75 Indoor Motion Sensors - - 0.75 Indoor Motion Sensors with...

AI summary Table 22 presents the 2025 Instant Savings Net-to-gross Ratios for various energy efficiency products, highlighting the evaluated net-to-gross ratios and free-ridership levels for some items. These ratios indicate the proportion of energy savings that are captured versus the total potential savings.

Table 23: Evaluated 2025 Instant Savings Net Electrical Energy and Peak Demand Savings LED Non-A-ty /pe Lamps LED EN ERGY STAR Fixture es · Dimensor Indoor Outdoor #Product Category R, BR, and Decorative Others Recessed Downlight Fixtures...

AI summary Table 23 presents evaluated 2025 instant savings for net electrical energy and peak demand savings across various product categories, including LED lamps, fixtures, and motion sensors, with calculations for gross and net savings, NTGR, line loss factors, and effective useful life.

Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Electrical Energy Savings Tracked Savings by E1 16.337 GWh 0.98 15.981 GWh 72% Evaluation Results 14.817 GWh 0.77 11.430 GWh Tracked Savings by E1 0.757 MW 0...

AI summary The table presents energy savings data, including gross and net savings, NTGRs, and realization rates for electrical energy savings tracked by E1 and evaluation results. NTGRs are calculated as the ratio of net savings to gross savings and vary by product category.

CONCLUSION [Table](#page-124-1) 25 presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well as EUL values for each Residential Efficient Product Rebates program com...

AI summary Table 25 summarizes participation levels, net-to-gross ratios (NTGRs), evaluated savings, GHG emission reductions, and effective useful life (EUL) values for Nova Scotia's 2025 Residential Efficient Product Rebates program components and overall program performance.

Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit ARet Electrical Energy Savings 285 Appliances 0.205 GWh 0.56 0.115 GWh Lifetime Electrical Energy Savings 0.818 GWh 0.56 0.461 GWh Peak Demand Saving...

AI summary The Residential Efficient Product Rebates program exceeded its net electrical energy savings target by 6% in 2024 but fell short of its net peak demand savings target by 58%, primarily due to the Instant Savings component being the largest contributor to overall savings.

Methodology The Evaluator conducted a literature review of technical reference manuals (TRMs), NTG studies and instant rebate program impact evaluation reports across 12 jurisdictions in Canada and the United States for NTGR assumptions of...

AI summary The Evaluator reviewed technical reference manuals and NTGR studies from 12 jurisdictions to assess instant rebate program impact. Similar measures like lighting controls and thermostats were grouped based on customer motivation and program influence. Priority was given to instant rebate programs and online marketplaces, as well as participant survey data for NTGR assumptions.

Table 2: Assigned NTGR Assumptions Measure Available Through Instant Savings Associated Measure in Reference Assigned NTGR Reference Program Delivery Mode Associated with Assigned NTGR Rationale Behind Assigned NTGR Dimmer Switches Occupan...

AI summary Table 2 outlines assigned Net-to-Gross Ratios (NTGR) for various energy efficiency measures, including dimmer switches, motion sensors, and smart thermostats. NTGR values are based on market data, literature reviews, and participant surveys. Some entries lack assigned NTGR values, while others reference specific evaluations and reports.

EfficiencyOne

AI summary The document introduces EfficiencyOne (E1) within the context of Nova Scotia's regulatory proceedings, focusing on energy efficiency programs and related acronyms. It highlights topics such as demand-side management, appliance retirement, and heat pump initiatives, while referencing Efficiency Nova Scotia and Nova Scotia Power.

EXECUTIVE SUMMARY This report presents the 2025 demand-side management (DSM) results of the Existing Residential program administered by EfficiencyOne (E1). This program is comprised of seven components: (1) Affordable Multifamily Housing...

AI summary This report details the 2025 demand-side management (DSM) outcomes for EfficiencyOne's Existing Residential program, which includes components like Affordable Multifamily Housing, Efficient Product Installation, and Home Energy Assessments. The program promotes energy efficiency through financial incentives and direct installations in residential and affordable housing sectors.

Table 1: Summary of 2025 Existing Residential Program Evaluation Program Component Evaluation Type Impact Process Market Methodology AMH Condensed › Tracking sheet audit › Desk reviews › Effective useful life (EUL) update › Use of a net-to...

AI summary The document summarizes the evaluation of existing residential programs in 2025, including methods like tracking sheet audits, net-to-gross ratio (NTGR) calculations, and GHG emission reduction assessments for various components such as AMH, ASFH, EPI, Green Heat, HEA, and MHEEP. It also includes a comprehensive evaluation of residential behavior.

[Table](#page-154-0) 2 below presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well as effective useful life (EUL) values for each program component and for Exist...

AI summary The table presents participation levels, net-to-gross ratios, evaluated gross and net savings, annual GHG emission reductions, and effective useful life values for each program component and for Existing Residential as a whole.

Table 2: Overall 2025 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit AMH Electrical Energy Savings 98 Projects 1.378 GWh 1.00 1.378 GWh Lif...

AI summary Table 2 presents the 2025 residential participation and evaluated savings across various programs, including energy savings, GHG emission reductions, and net-to-gross ratios (NTGR). The data highlights participation levels, gross and net savings, and the effective useful life (EUL) of different initiatives such as AMH, ASFH, EPI, Green Heat, HEA, MHEEP, and Residential Behaviour.

AMH Findings and Recommendations This subsection presents the key findings from the 2025 AMH evaluation. The Evaluator has no specific recommendation for AMH. 2025 AMH-Finding: In 2025, AMH achieved 1.378 GWh in net electrical energy savin...

AI summary The 2025 AMH evaluation found that the program achieved 1.378 GWh in net electrical energy savings (27% below target) and 0.648 MW in peak demand savings (13% above target). Participation increased by 18% to 98 projects, with 19% higher energy savings and 14% higher peak demand savings compared to 2024. EFLH values were correctly applied to prescriptive heat pump projects, and savings aligned with E1 tracking.

ASFH Findings and Recommendations This subsection presents the key findings from the 2025 ASFH evaluation. The Evaluator has no specific recommendation for ASFH. 2025 ASFH-Finding: ASFH achieved 6.135 GWh in net electrical energy savings a...

AI summary The 2025 ASFH program exceeded its energy and peak demand savings targets by 114% and 183%, respectively, with 1,920 homes participating—a 59% increase from 2024. Energy savings were 1% higher than E1-tracked figures due to inclusion of 2024 unclaimed savings from non-modelled heat pump measures.

HEA Findings and Recommendations This subsection presents the key findings from the 2025 HEA evaluation. The Evaluator has no specific recommendation for HEA. 2025 HEA-Finding: HEA net electrical energy savings exceeded the 8.580 GWh targe...

AI summary The 2025 HEA exceeded energy savings targets by 61% and peak demand savings by 6%, but participation dropped significantly due to the closure of the Canada Greener Homes Grant. Realization rates reached 100% for both energy and peak demand savings, aligning evaluated results with E1 tracking.

MHEEP Findings and Recommendations This subsection presents the key findings from the MHEEP evaluation. The Evaluator has no specific recommendation for MHEEP. 2025 MHEEP-Finding: MHEEP net electrical energy savings fell short of the 0.548...

AI summary The MHEEP evaluation found that 2025 net electrical energy savings fell 39% short of targets, with participation dropping 18%. Average savings per participant remained stable, but total savings declined by 16% for energy and 34% for peak demand. Methodological changes aligned with 2024 Green Heat billing analysis reduced net peak demand savings by 24%.

EfficiencyOne (E1), an independent and non-profit organization, is responsible for helping Nova Scotians improve the energy efficiency of their homes and workplaces by designing, marketing, and delivering demand-side management (DSM) for N...

AI summary EfficiencyOne (E1) is an independent, non-profit organization responsible for designing, marketing, and delivering demand-side management (DSM) programs in Nova Scotia through the Efficiency Nova Scotia (ENS) franchise. E1's 2025 DSM program portfolio includes residential and BNI programs, and it commissioned Econoler to evaluate these programs. The evaluation report focuses on the Existing Residential program and outlines comprehensive and condensed impact evaluation methods.

1.1 AMH Description AMH provides affordable housing owners and non-profit organizations, such as rehabilitation or transition houses, with incentives for building-wide energy retrofit projects with the intent of reducing electrical and non...

AI summary AMH provides incentives for energy retrofits in affordable multifamily housing and non-profits, requiring energy audits unless prescriptive measures are used. Funding comes from electricity ratepayers and the Province of Nova Scotia, with updated incentive amounts and energy savings targets for 2025. Two project paths (comprehensive and prescriptive) are outlined, with savings calculated via modeling tools or the 2025 DSM MA.

Table 5: Implementation Status of Past Recommendations for AMH # Past Recommendations Status Comments 2024 AMH-R1 To further aid understanding, consider providing participants with case study examples of incentive calculations to show pre-...

AI summary This table outlines the implementation status of past recommendations for the Affordable Multifamily Housing (AMH) program. E1 has taken several actions to improve participant understanding, support, audit efficiency, and awareness of co-financing options, as outlined in the recommendations.

Desk Reviews The Evaluator reviewed the documentation of five prescriptive heat pump projects. The desk reviews were aimed at validating whether the EFLH value derived from the 2024 Green Heat billing analysis was properly applied to mini-...

AI summary The Evaluator reviewed five prescriptive heat pump projects to validate if the EFLH value from the 2024 Green Heat billing analysis was correctly applied to mini-split heat pump savings, with results detailed in Subsection 3.2.

GHG Emission Reduction Calculations To obtain net avoided GHG emissions in CO2 eq for AMH, the Evaluator multiplied the net electrical energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity prod...

AI summary The Evaluator calculated net avoided GHG emissions for AMH by multiplying electrical energy savings by a Nova Scotia-specific GHG emission factor derived from NS Power data.

3 AMH Impact Evaluation The objectives of the 2025 AMH impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as the EUL and associated lifetime electrical energ...

AI summary The 2025 AMH Impact Evaluation aims to assess gross and net electrical energy savings, peak demand reductions, annual GHG emissions avoided, and the Effective Useful Life (EUL) of Affordable Multifamily Housing programs, along with their lifetime energy savings.

3.2 Gross Savings Gross savings correspond to the change in energy consumption resulting from various electrical energysaving upgrades such as building envelope measures, space heating measures, and domestic hot water (DHW) measures implem...

AI summary Gross savings from AMH upgrades are calculated using two project types: Comprehensive (modelled via HOT2000/RETScreen/CANQuest) and Prescriptive (using 2025 DSM MA). Methodology includes assessing interactive effects and EUL values for 2025 AMH savings calculations.

3.2.1 Electrical Energy Savings For AMH, the Evaluator typically multiplies tracked savings by adjustment ratios to establish evaluated savings. In 2025, no previously established adjustment ratios were applied to electrical energy savings...

AI summary The Evaluator discusses electrical energy savings evaluation methods for AMH, noting that 2025 adjustments omitted ratios due to high error margins. A 2024 EFLH value update for mini-split heat pumps was validated via desk reviews, allowing tracked savings to be used for 2025 evaluations. Other projects also relied on tracked savings due to unacceptably high error margins in prior adjustment ratios.

3.2.3 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other factors such as heating and cooling. The interactive effects of space hea...

AI summary Interactive effects in energy efficiency measures impact heating and cooling in homes. Comprehensive projects already account for these effects via engineering calculations or simulations, while the 2025 DSM MA includes them for prescriptive projects when applicable.

Table 7: 2025 AMH Equivalent EUL Values for Comprehensive Projects Measure Category Share of Savings [%] Evaluated Equivalent EUL [years] Reference Heating System 61.7% 18 GDS, 2007 – Heat Pumps Lighting 12.8% 5.7 Lifetime of 50,000 hours...

AI summary Table 7 provides the 2025 AMH equivalent EUL values for comprehensive projects, breaking down the share of savings and evaluated equivalent EUL for various measure categories such as heating systems, lighting, and building envelope. These values are based on references from various studies and assumptions about usage patterns.

4 AMH Key Findings and Recommendations As mentioned previously, the main objectives of the 2025 AMH evaluation were as follows: › Calculate AMH gross and net results, namely first-year and lifetime electrical energy savings, peak demand sa...

AI summary The 2025 AMH evaluation found that while net electrical energy savings targets were unmet (1.378 GWh vs. 1.880 GWh target), peak demand savings exceeded expectations (0.648 MW vs. 0.572 MW target). Participation reached a record high with 98 projects, and EFLH values were correctly applied to heat pump projects. Savings tracked by E1 aligned with evaluator calculations.

ng source, and introduced a heat pump only stream for past participants to apply for the new heat pump measure; this stream excludes an energy assessment and any additional building envelope upgrades. ASFH is supported across Nova Scotia b...

AI summary The ASFH program in Nova Scotia involves seven delivery agents and 38 heat pump contractors, with energy advisors conducting pre- and post-retrofit assessments. Pre-retrofit assessments identify energy upgrades, while post-retrofit assessments verify measures using HOT2000. Heat pump installations are managed by contractors after E1 approval.

Table 11: Implementation Status of Past Recommendations for ASFH # Past Recommendations Status Comments 2024-ASFH-R2 Provide participants with more information about ASFH to help them understand program options, eligible measures, and part...

AI summary The implementation status of past recommendations for the Affordable Single-family Homes (ASFH) program shows that Recommendation 2024-ASFH-R2 has been completed. EfficiencyOne (E1) has taken steps such as updating the application form, sending emails and making calls to applicants, sending welcome letters, and creating a new customer portal. These actions aim to improve participant understanding of program options and participation steps.

6 ASFH Evaluation Approach The 2025 evaluation consisted of a condensed impact evaluation. The main objectives of the 2025 ASFH evaluation were as follows: › Calculate ASFH gross and net results, namely first-year and lifetime electrical e...

AI summary The 2025 ASFH evaluation focused on calculating gross and net results, including energy savings and avoided GHG emissions. The Evaluator identified key research questions and methods to achieve these objectives, with Table 12 outlining the evaluation objectives, research questions, methods, and sample sizes.

Table 12: 2025 ASFH Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime...

AI summary Table 12 outlines the 2025 ASFH Evaluation Approach, detailing objectives, research questions, and methodologies for calculating both gross and net results, including tracking sheet audits and GHG emission reductions.

7 ASFH Impact Evaluation The objectives of the 2025 ASFH impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as the EUL values and associated lifetime electri...

AI summary The 2025 ASFH impact evaluation aims to assess gross and net electrical energy and peak demand savings, annually avoided GHG emissions, and Effective Useful Life (EUL) values with associated lifetime energy savings for Affordable Single-family Homes.

7.2 Gross Savings For ASFH, the gross savings associated with building envelope and heat pump measures are calculated based on pre-retrofit and post-retrofit HOT2000 simulations, while the gross savings associated with smart thermostats ar...

AI summary The section outlines methodology for calculating gross savings for Affordable Single-family Homes (ASFH), including simulation approaches for building envelope and heat pump measures, unitary values for smart thermostats, and retroactive adjustments to non-modelled heat pump calculations post-2024 DSM evaluation. The Evaluator applied updated methods retroactively from April 2024, affecting reported savings.

7.2.1 Electrical Energy Savings For ASFH, electrical energy savings are calculated based on HOT2000 simulation results adjusted with billing analysis results and unitary savings values for prescriptive measures, as demonstrated in the equa...

AI summary Electrical energy savings for Affordable Single-family Homes (ASFH) are calculated using HOT2000 simulations adjusted with billing analysis and unitary savings values for prescriptive measures. The methodology combines simulation results with real-world data to estimate savings.

Modelled Energy Savings After the D and E assessments, EAs model the house in the HOT2000 energy simulation software to obtain the initial and final EnerGuide ratings of houses. These ratings were used to determine the electrical energy sa...

AI summary The document discusses the methodology used to model energy savings after D and E assessments, utilizing the HOT2000 energy simulation software. In 2024, the Evaluator updated the savings calculation methodology, introducing adjustment ratios (ARs) based on billing analysis to improve accuracy. These ARs are applied to modelled savings estimates, with separate calculations for three heat pump scenarios.

Table 13: 2025 Adjustment Ratios (ARs) Scenario Tracked Evaluated A participant who registered with a heat pump 1.24 No change A participant who registered without a heat pump and who did not have one installed 0.58 No change A participant...

AI summary Table 13 outlines 2025 Adjustment Ratios (ARs) for participants in a heat pump program. It shows different ARs based on whether participants registered with or without a heat pump and whether they had one installed. Participants with non-electrical space heating are eligible for the program, and their electrical energy savings are calculated based on the proportion of space heating covered by electrical systems.

7.2.2 Peak Demand Savings Peak demand savings correspond to the demand savings that coincide in time with the peak demand period of the electricity system. The projected electricity peak demand period in Nova Scotia is between 5 p.m. and 7...

AI summary Peak demand savings in Nova Scotia are calculated using a 0.283 MW/GWh ratio from Navigant's 2016-2018 DSM Plan for ASFH, with exceptions for heat pumps. The 2025 DSM MA provides unitary peak demand savings values, which were not revised in 2025. Smart thermostats use separate calculations, and the Evaluator validated Navigant's method.

7.2.3 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other factors such as heating and cooling. Since ASFH building envelope and hea...

AI summary The text explains that interactive effects occur when energy efficiency measures impact other home energy factors. ASFH and heat pump measures directly target heating/cooling loads, so no additional factors are applied. Smart thermostats aren't modeled in HOT2000 and don't affect other elements, so no interactive effects for them.

7.2.4 Effective Useful Life As part of the 2025 DSM MA activities, the Evaluator reviewed the EUL values used in the calculation of electrical energy savings that are expected to persist over time. The EUL values for building envelope upgr...

AI summary The Evaluator reviewed Effective Useful Life (EUL) values for building envelope upgrades and space heating equipment in 2025 DSM MA activities. These values, based on installations by HEA and ASFH participants, remained unchanged for all ASFH measures in 2025.

Table 15: Evaluated 2025 ASFH Non-modelled Measure Gross Electrical Energy and Peak Demand Savings Measure Category Non-modelled Heat Pumps Smart Thermostats Total Number of Units Installed 497 221 718 Electrical Energy Savings Unitary Ele...

AI summary Table 15 evaluates the gross electrical energy and peak demand savings from non-modelled measures in the 2025 Affordable Single-family Homes (ASFH) program. The table highlights savings from heat pumps and smart thermostats, with heat pumps contributing significantly to energy savings.

Gross electrical energy savings at the generator were estimated by using different line loss factors for each participant based on their rate code, which resulted in average factors of 1.0947 for electrical energy savings and 1.1465 for pe...

AI summary The document discusses the estimation of gross electrical energy savings using line loss factors based on rate codes, resulting in average factors of 1.0947 and 1.1465 for energy and peak demand savings. The line loss factors were updated in 2019 and submitted to the Nova Scotia Energy Board (NSEB) as part of a 2014 study. The average EUL for Affordable Single-family Homes (ASFH) was 19.3 years in 2025 with total savings of 6.135 GWh and 118.611 GWh.

Table 16: Evaluated 2025 ASFH Gross Electrical Energy and Peak Demand Savings Measure Category Modelled Measures 2025 Non modelled Heat Pumps Smart Thermostats EPI Measures Additional 2024 Non-modelled Heat Pumps Total Number of Participan...

AI summary Table 16 evaluates the 2025 gross electrical energy and peak demand savings from various energy efficiency measures, including heat pumps, smart thermostats, and EPI measures, for Affordable Single-family Homes. The table includes metrics such as number of participants, energy savings, line loss factors, and effective useful life.

7.3.1 Evaluated Net Savings Net savings are defined as the changes in energy use that are specifically attributable to ASFH. Since spillover and free-ridership effects were considered nil, the net electrical energy savings are equal to the...

AI summary Evaluated Net Savings for Affordable Single-family Homes (ASFH) show 114% and 183% exceedance of electrical energy and peak demand targets. Net savings equal gross savings due to nil spillover and free-ridership. GHG emission reductions match gross reductions. Data sources include Nova Scotia Power and Emera Inc.

8 ASFH Key Findings and Recommendations As previously mentioned, the main objectives of the 2025 ASFH evaluation were as follows: › Calculate gross and net ASFH results, namely electrical first-year and lifetime energy savings, peak demand...

AI summary The 2025 ASFH program exceeded electrical energy and peak demand savings targets by 114% and 183%, respectively. Participation grew by 59% compared to 2024, with 1,920 homes enrolled. Evaluator results aligned closely with E1's tracking, differing by only 1% due to unclaimed 2024 savings from non-modelled heat pumps.

9.1 EPI Description EPI provides participants with free-of-charge direct installations of energy efficient products. EPI has played a pivotal role in transforming the residential lighting market by making energy efficient products more aff...

AI summary EPI provides free direct installations of energy-efficient products, focusing on electrician-installed measures to support residential demand response. The program has shifted its focus from lighting to other energy-efficient products since June 2025. E1 contracts service providers to deliver EPI across the province, and the program is available to both homeowners and renters.

Table 19: 2025 EPI List of Eligible Products Products Electrical Savings Non-electrical Savings Lighting Products LED Lamps (A-types, Reflectors, and Chandeliers) X - LED Nightlights X - Solar Security Fixtures X - Motion Sensors X - Dimme...

AI summary Table 19 presents the 2025 list of eligible products for the Efficient Product Installation (EPI) program. It includes various lighting, domestic hot water, smart thermostats, air sealing, and other products, with details on their electrical and non-electrical savings. The table also notes the introduction of electrician-installed measures and changes in product categories over recent years.

Table 20: Implementation Status of Past Recommendations for EPI # Past Recommendations for EPI Status Comments 2024- EPI-R1 Recommendation #1: To improve the smart thermostat installation rate, explore and implement strategies to reduce th...

AI summary This table outlines the implementation status of past recommendations for the Efficient Product Installation (EPI) program. Recommendation #1 focused on improving smart thermostat installation rates by reducing participant dissatisfaction and disconnections through follow-up calls, installer education, and additional educational materials. E1 implemented several measures, including automated emails, refresher training, mandatory installations, and communication protocols. The Evaluator acknowledges the improvements made.

9.3 Participation History As presented in [Figure](#page-190-1) 9 below, EPI had 9,245 DSM participants, which represents a 7.5% decrease in participation compared to 2024 levels.[14](#page-190-2) In 2025, 90,666 efficient products were in...

AI summary EPI's DSM participation dropped 7.5% in 2025, with efficient product installations declining 40% due to LED phase-out. Despite lower product volumes, average savings fell only 12% due to higher efficiency from electrician-installed products. Smart thermostats now drive 51% of energy savings despite comprising only 11% of installations.

10 EPI Evaluation Approach The 2025 EPI evaluation comprised a condensed impact evaluation. The main objectives of the 2025 EPI evaluation were as follows: › Calculate gross and net EPI results, namely electrical first-year and lifetime en...

AI summary The 2025 EPI evaluation focuses on calculating gross and net energy savings, peak demand savings, and avoided GHG emissions. The Evaluator identified key research questions to achieve these objectives and outlined the methods in Table 21.

Table 21: 2025 EPI Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime g...

AI summary This table outlines the evaluation approach for the 2025 Efficient Product Installation (EPI) program. It includes objectives such as calculating gross and net results, research questions related to data accuracy and energy savings, and methodologies like tracking sheet audits and the use of Net-to-Gross Ratios (NTGR) from previous surveys.

11 EPI Impact Evaluation The objectives of the 2025 EPI impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as effective useful life (EUL) values and associat...

AI summary The 2025 EPI impact evaluation aims to assess gross and net electrical energy and peak demand savings, annually avoided GHG emissions, effective useful life (EUL) values, and associated lifetime electrical energy savings from the Efficient Product Installation program.

11.2 Gross Savings For EPI, gross savings correspond to the change in energy consumption resulting from installing energy efficient products in participant homes compared to the consumption level had those installations not occurred. [16](...

AI summary Gross savings for EPI are calculated as the energy consumption reduction from installing efficient products in homes, compared to baseline consumption. The Evaluator used the 2025 DSM MA and applied a 2019 adjustment ratio to correct discrepancies in lamp replacement tracking.

11.2.4 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency products has an impact on the energy consumption of other elements such as heating and cooling. In the case of EPI, replacing ligh...

AI summary Interactive effects occur when energy efficiency products, like LED lighting and hot water insulation, alter heating and cooling demands in homes. The 2025 evaluation used factors from the DSM MA to calculate energy savings, considering product type, location, and home type.

11.2.5 Adjustment Ratio As part of the 2019 evaluation, the Evaluator conducted on-site visits (n = 28) to establish an overview of the types of lamps used in homes and verify that replaced A-type lamps were properly tracked. The on-site v...

AI summary The 2019 evaluation identified discrepancies in tracked savings from A-type lamp replacements, leading to an adjustment ratio of 96% (±5%). This ratio was applied to 2025 savings for remaining A-type incandescent lamps replaced by LEDs, reflecting the Evaluator's findings on program effectiveness.

11.2.6 Effective Useful Life The EUL values used in the calculation of electrical energy savings that are expected to persist over time are presented in the 2025 DSM MA. The equivalent EUL values are applied to each product gross and net f...

AI summary The Effective Useful Life (EUL) values in the 2025 DSM MA are used to calculate long-term electrical energy savings. Equivalent EUL values are applied to gross and net first-year savings, resulting in differing weighted average EUL values for gross and net lifetime savings. Subsections 11.2.7 and 11.3.4 provide further details.

Table 22: Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure - Single-family Homes LED Lamps Product Category 9 W Replacing 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units 238 244 7,833 498...

AI summary Table 22 evaluates the 2025 EPI gross electrical energy and peak demand savings per measure for single-family homes, focusing on LED lamps replacing various wattage bulbs. The table provides data on installation rates, energy savings, and adjustment ratios across different wattage categories.

LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 4.5 W Replacing 40 W E12 5 W Chandeliers Replacing 40 W Number of Units Number of Units 4,371 252 1,431 1,326 4,738 Installation Rate (%) 94% 94% 94...

AI summary The table provides data on the energy savings from LED lamps across various product categories, including installation rates, unitary savings values, interactive effects factors, and gross energy savings at both the meter and generator levels. The data also includes peak demand savings and associated factors.

Product Category Faucet Aerators Thermostatic Shower Valves 2.5 gpm Pipe Insulation (per foot) Hot Water Tank Wraps Low-flow Showerheads 0.5 gpm Reduction 0.75 gpm Reduction 1.0 gpm Reduction Number of Units Number of Units 1,611 97 3,855...

AI summary The text presents a detailed table of energy savings data for various residential efficiency products, including faucets, shower valves, pipe insulation, and low-flow showerheads. It includes metrics such as installation rates, energy savings, and peak demand reductions, with adjustments for interactive effects and line losses.

Product Category Smart Thermostats for Electric Central Heat Pumps Smart Thermostats for Electric Forced Hot Air Furnaces Smart Thermostats for Electric Baseboards Smart Thermostats for Electric Radiant In-Floor Smart Thermostats for MSHPs...

AI summary The table presents data on the number of units, installation rates, energy savings, and other metrics for various smart thermostat products used in different heating systems in Nova Scotia. It includes details on electrical energy savings, gross lifetime savings, and effective useful life for each product category.

Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure - Single-family Homes (Continued) Consumer Electronics and Accessory Lighting Product Category Solar Security Fixtures Indoor Motion Sensors Outdoor Motion Sens...

AI summary The document evaluates the 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure for single-family homes, providing data on various product categories including solar security fixtures, motion sensors, and dimmer switches, with details on installation rates, energy savings, and peak demand reductions.

Table 23: Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure – Apartments LED Lamps Product Category 9 W Replacing 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units - - 455 - 1,193 - 4 - Insta...

AI summary Table 23 evaluates the 2025 EPI gross electrical energy and peak demand savings per measure in apartments, focusing on LED lamps. It provides data on unitary energy and peak demand savings, adjustment ratios, and line loss factors for various wattage replacements.

LED Lamps Product Category 18 W Replacing 100 W PAR20 7 W Replacing 50 W PAR38 15 W Replacing 90 W PAR38 15 W Replacing 120 W PAR38 15 W Replacing 150 W Number of Units Number of Units 55 39 - - - Installation Rate (%) 94% 94% 94% 94% 94%...

AI summary The table provides details on LED lamp installations, including the number of units, installation rates, energy savings, and peak demand savings for various product categories. It includes factors such as interactive effects, line loss, and adjustment ratios, which are used to calculate gross energy savings at the meter and generator.

LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 4.5 W Replacing 40 W E12 5 W Chandeliers Replacing 40 W Number of Units Number of Units 282 3 50 23 79 Installation Rate (%) 94% 94% 94% 94% 94% Num...

AI summary The table presents energy savings data for various LED lamp products, including installation rates, energy savings, and interactive effects factors. The data shows minimal gross energy savings at the meter and generator levels, with some products contributing slightly more savings than others. The interactive effects and line loss factors are calculated based on weighted averages for each product category.

Thermostatic Pipe Low-flow Showerheads Product Category Faucet Aerators Shower Valves 2.5 gpm Insulation (per foot) Hot Water Tank Wraps 0.5 gpm Reduction 0.75 gpm Reduction 1.0 gpm Reduction Number of Units Number of Units 128 0 11 5 24 1...

AI summary The document provides a detailed table with energy savings data for various home efficiency products, including thermostatic faucets, shower valves, pipe insulation, and low-flow showerheads. It includes metrics such as installation rates, energy savings, and interactive effects factors, focusing on both electrical energy and peak demand savings.

Product Category Smart Thermostats for Electric Central Heat Pumps Smart Thermostats for Electric Forced Hot Air Furnaces Smart Thermostats for Electric Baseboards Smart Thermostats for Electric Radiant In-Floor Smart Thermostats for MSHPs...

AI summary The table presents data on the installation and energy savings of various smart and advanced learning thermostats across different heating systems in Nova Scotia. It includes metrics such as the number of units installed, electrical energy savings, and effective useful life. The data highlights energy savings for specific heating systems, such as electric baseboards and mini-split heat pumps.

Consumer Electronics and Accessory Lighting Product Category Solar Security Fixtures Indoor Motion Sensors Outdoor Motion Sensors Dimmer Switches Humidity Sensors Number of Units Number of Units 37 57 16 164 34 Installation Rate (%) 100% 1...

AI summary The document presents data on electrical energy and peak demand savings from various consumer electronics and lighting products, including solar security fixtures, motion sensors, dimmer switches, and humidity sensors. The data includes unitary savings values, installation rates, interactive effects factors, and lifetime energy savings.

Air Sealing Products – Electric Resistance Heating Product Category Foam Gaskets (per pack of 10) Door Sweeps Window Air Sealing (per 15 ft) Window Film Kits Door Weather Stripping (per 17 ft) Number of Units Number of Units 75 1 0 31 5 In...

AI summary The table presents data on energy savings from various air sealing and electric resistance heating products, including installation rates, energy savings, and peak demand reductions. It includes metrics such as unitary savings value, gross energy savings at the meter and generator, and effective useful life for each product category.

Table 27: 2025 EPI Participant Spillover Levels Average Participant Spillover Level Margin of Error Low-income Participants All Products 0% N/A Non-low-income Participants All Products 8% 3.8% 11.3.3 Net-to-gross Ratio Calculation

AI summary Table 27 outlines the 2025 EPI Participant Spillover Levels, showing that low-income participants have 0% average spillover with no margin of error, while non-low-income participants have an 8% average spillover with a 3.8% margin of error. Section 11.3.3 discusses the Net-to-gross Ratio Calculation.

Table 28: 2025 EPI Net-to-gross Ratios by Product Category Products Participant Type NTGR Proportion of Product Category Gross Savings by Participant Type Overall NTGR Values LED Lamps and Lighting Non-low-income Participants 0.92 37% Rela...

AI summary Table 28 presents the 2025 EPI Net-to-gross Ratios (NTGR) by product category, showing the proportion of gross savings attributed to low-income and non-low-income participants. The data highlights varying NTGR values for different product categories, including LED lamps, learning thermostats, DHW products, air sealing products, and humidity sensors.

Net savings are defined as the energy use reductions that are specifically attributable to EPI. Net savings were estimated by applying the overall NTGR to gross savings as exemplified in the following equation. Net Savings = Gross Savings...

AI summary Net savings are calculated by applying the Net-to-Gross Ratios (NTGR) to gross savings, which represent energy use reductions specifically attributable to the Efficient Product Installation (EPI) program. This calculation applies to both electrical energy savings and peak demand savings.

The detailed results per measure are presented in [Table](#page-17-0) 29 below. The net electrical energy savings resulted in 3,426 tonnes of CO2 eq in net annual GHG emission reductions. LED Lamps Product Category 9 W Replacing 25 W 29 W...

AI summary The document presents detailed results of energy savings from LED lamps, showing net annual GHG emission reductions of 3,426 tonnes of CO2 eq. The table includes gross and net electrical energy savings, net-to-gross ratios, line loss factors, and peak demand savings at both the meter and generator levels.

Table 30: Comparison of 2025 EPI Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Value Unit Value Value Unit Rate Value 7.405 GWh 0.99 7.338 GWh 7.405 GWh 0.99 7.300 GWh 99% 0.518 MW 0.98 0.509 MW...

AI summary Table 30 compares the 2025 EPI tracked and evaluated savings at the generator, showing gross savings, net savings, and realization rates for different product categories. The table highlights the net-to-gross ratios (NTGR) for each category, with values ranging from 98% to 99%.

12 EPI Key Findings and Recommendations As mentioned previously, the main objectives of the 2025 EPI evaluation were as follows: › Calculate gross and net EPI results, namely first-year and lifetime electrical energy savings, peak demand s...

AI summary The 2025 EPI evaluation aimed to calculate gross and net results, including energy savings, peak demand reductions, and avoided GHG emissions. Key findings and recommendations address these objectives, focusing on the efficiency of product installation programs.

2025 EPI-Finding: Participation decreased in 2025 compared to 2024 levels. The number of participants decreased in 2025 by 7.5% compared to 2024 levels, while the number of measures installed through EPI decreased by 40% compared to 2024 l...

AI summary Participation in the Efficient Product Installation (EPI) program decreased by 7.5% in 2025 compared to 2024, with a 40% drop in installed measures due to the phase-out of lighting measures, particularly LED lamps. Despite this, average savings per participant only fell by 12% due to higher savings from electrician-installed products.

13.1 Green Heat Description The Green Heat program component of the Existing Residential program is designed to promote the installation of energy efficient heating systems and systems that use renewable fuel sources in Nova Scotia homes....

AI summary The Green Heat program provides financial incentives for installing energy-efficient heating systems and renewable fuel systems in Nova Scotia homes. Homeowners must purchase eligible equipment, have it installed by certified professionals, and submit documentation within 180 days to receive incentives.

Table 31: 2025 Green Heat Incentives Measure Incentive Heat Pumps Ductless Mini-split Heat Pumps $200/refrigeration tonne Centrally Ducted Air-source Heat Pumps $400/refrigeration tonne Air-to-water Heat Pumps $400/refrigeration tonne Grou...

AI summary Table 31 outlines the 2025 Green Heat Incentives, providing financial incentives for various heating measures such as heat pumps, biomass systems, and demand reduction technologies. Certain measures were discontinued as of May 1, 2025, though installations completed within 180 days of the cutoff remained eligible for rebates.

Table 33: 2025 Green Heat Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lif...

AI summary This section outlines the evaluation approach for the 2025 Green Heat program, focusing on calculating both gross and net results through tracking sheet audits and calculations using evaluation results, including GHG emission reductions.

15.2 Gross Savings For Green Heat, gross savings correspond to the change in energy consumption resulting from actions taken by participants compared to the consumption level had those actions not occurred. [22](#page-30-0) For the 2025 ev...

AI summary The text defines gross savings for Green Heat as the change in energy consumption due to participant actions, referencing the 2025 DSM MA for evaluation. It emphasizes measuring consumption differences between scenarios with and without program participation.

15.2.1 Installation Rates Installation rates represent the proportion of measures recorded in the tracking sheet and that remains installed in participants' homes. Installation rates for all energy efficient heating systems under Green Hea...

AI summary Installation rates for energy-efficient heating systems under Green Heat are estimated at 100% due to their high cost, with this assumption unchanged during the 2025 DSM MA update. The high cost is presumed to ensure installation, though the rationale for this assumption is not elaborated.

15.2.2 Unitary Energy Savings To establish Green Heat unitary savings, the Evaluator relied on a combination of billing analyses, energy models, engineering algorithms, and literature reviews. The 2025 DSM MA provides a detailed descriptio...

AI summary The Evaluator used billing analyses, energy models, and literature reviews to establish Green Heat unitary savings. The 2025 DSM MA provides detailed inputs and calculations for measure categories, with no updates to unitary energy savings values.

15.2.4 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling. Since Green Heat high-efficiency h...

AI summary The text explains that interactive effects in home energy efficiency occur when measures impact heating/cooling consumption. Green Heat high-efficiency heating measures directly address these loads, so no additional interactive effects factors were applied in 2025, as their impact is already included in unitary savings calculations.

15.3 Effective Useful Life As part of the 2025 DSM MA activities, the Evaluator reviewed the EUL values used in the calculations of electrical energy savings that are expected to persist over time. All EUL values used in previous years rem...

AI summary The 2025 DSM MA review confirmed that EUL values from prior years remained unchanged. Equivalent EUL values were applied to gross and net first-year electrical energy savings to calculate lifetime savings, resulting in differing weighted average EUL values (18.0 years for gross savings).

Table 34: Evaluated 2025 Green Heat Gross Electrical Energy and Peak Demand Savings MS MSHPs Measure Fully Electrical Mainly Electrical CASHPs Air-to-water Heat Pumps Wood Stoves Pellet Stoves Number of Units 649 16 16 1 121 29 Electrical...

AI summary Table 34 evaluates the 2025 Green Heat gross electrical energy and peak demand savings for various heating measures, including fully electrical and mainly electrical systems, as well as heat pumps and stoves. It provides unitary and gross energy savings at both the meter and generator levels, along with effective useful life and peak demand savings.

Figure 17: 2025 Green Heat Tracked and Evaluated Gross Electrical Energy Savings – at the Generator (GWh) [Figure](#page-34-1) 18 below compares tracked gross peak demand savings to evaluated gross peak demand savings at the generator. A s...

AI summary The text discusses the comparison of tracked and evaluated gross electrical energy savings and peak demand savings from the Green Heat program in 2025, as well as the calculation of GHG emission reductions using a Nova Scotia-specific factor applied to the program's energy savings.

Table 38: Evaluated 2025 Green Heat Net Electrical Energy and Peak Demand Savings MS HPs D. H. ( Measure Measure Fully Electrical Mainly Electrical CASHPs AWHPs Wood Stoves Pellet Stoves Electrical Energy Savings Gross Electrical Energy Sa...

AI summary Table 38 evaluates the 2025 Green Heat program's net electrical energy and peak demand savings, showing significant shortfalls compared to targets. The data includes savings from various measures and factors like line loss and effective useful life.

Table 39: Comparison of 2025 Green Heat Tracked and Evaluated Savings at the Generator Gross Savings Net Savings Realization Value Unit NTGR Value Unit Rate Electrical Energy Savings Tracked Savings by E1 1.414 GWh 0.53 0.749 GWh Evaluatio...

AI summary Table 39 compares tracked and evaluated savings from the 2025 Green Heat program, showing gross and net energy and peak demand savings, along with realization rates. The table includes data from EfficiencyOne (E1) and evaluation results, with NTGR values provided as a ratio of net to gross savings.

16 Green Heat Key Findings and Recommendations As previously mentioned, the main objectives of the 2025 Green Heat evaluation were as follows: › Calculate gross and net results, namely first-year and lifetime electrical energy savings, pea...

AI summary The 2025 Green Heat program missed its energy savings targets, achieving only 21% and 44% of electrical energy and peak demand goals. Participation declined by 33% due to competition from the closed CGH Grant and reduced rebates. Gross and net savings matched E1's reported figures, indicating accurate tracking.

17.1 HEA Description HEA is a home energy evaluation-based program component that encourages homeowners to improve the energy efficiency and comfort of their homes by providing them with related information and financial incentives in the...

AI summary The Home Energy Assessment (HEA) program in Nova Scotia encourages energy efficiency improvements through evaluations and rebates, administered with Natural Resources Canada (NRCan). It includes pre- and post-retrofit assessments, rebates for eligible upgrades, and collaboration with EfficiencyOne (E1). The Canada Greener Homes (CGH) Grant, co-delivered via HEA until 2025, provided up to $5,000 for retrofits but closed to new applications in 2024. The program aimed for 8.580 GWh in electrical savings and 4.325 MW in peak demand reduction by 2025.

17.2 Follow-up on Past Evaluation Report Recommendations The Evaluator evaluated HEA in previous years and issued improvement recommendations. Table 40 below provides a summary of the implementation status of past recommendations that were...

AI summary The Evaluator reviewed past recommendations related to Home Energy Assessments (HEA) and confirmed that all remaining recommendations were implemented by 2024.

Table 40: Implementation Status of Past Recommendations for HEA # Past Recommendations Status Comments 2024-HEA-R1 In light of their very low savings and considering their low uptake, consider removing wood fireplace inserts and pellet fir...

AI summary The document discusses the removal of wood and pellet fireplace inserts from the HEA program due to low savings and uptake. EfficiencyOne agreed with the recommendation and implemented the change by the end of Q3 2025.

18 HEA Evaluation Approach The 2025 HEA evaluation comprised a condensed impact evaluation. The main objectives of the 2025 HEA evaluation were to: › Calculate gross and net results, namely electrical first-year and lifetime energy savings...

AI summary The 2025 HEA evaluation focused on calculating gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The evaluation's main objectives were outlined, along with research questions and methods used to achieve them.

Table 41: 2025 HEA Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime g...

AI summary This section outlines the methodology for evaluating the 2025 Home Energy Assessment (HEA) program, focusing on calculating both gross and net results, including energy savings and GHG emission reductions, using tracking sheets and evaluation data from previous years.

19 HEA Impact Evaluation The objectives of the 2025 HEA impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as weighted average EUL values and associated life...

AI summary The 2025 HEA impact evaluation aims to assess gross and net electrical energy and peak demand savings, annual avoided GHG emissions, weighted average EUL values, and associated lifetime energy savings from Home Energy Assessments.

19.1 Tracking Sheet Audit To ensure program component results were reliably compiled, the Evaluator first performed a tracking sheet audit aimed at verifying the completeness and consistency of the data submitted by E1. The verification an...

AI summary The Evaluator conducted a tracking sheet audit to verify data completeness and consistency from E1, identifying issues in HEA tracking sheet calculations, including adjustments to electrical energy savings, AR column visibility, MSHP peak demand calculations, and summary tab improvements for future audits.

19.2 Gross Savings For HEA, gross savings correspond to the change in energy consumption resulting from measures implemented by HEA participants compared to the consumption level had those measures not occurred. [29](#page-46-1) The follow...

AI summary The section explains that HEA gross savings are calculated by comparing energy consumption with and without implemented measures, detailing the methodology used for this assessment.

19.2.1 Installation Rates Installation rates represent the proportion of products recorded in the tracking sheet and that remain installed in participant homes. Based on the 2025 DSM MA, installation rates for all HEA measures were estimat...

AI summary Installation rates track the proportion of products installed in participant homes. The 2025 DSM MA estimates 100% installation rates for HEA measures, confirmed by EAs during the E assessment.

19.2.2 Energy Savings HEA energy savings are calculated based on HOT2000 simulation results adjusted with billing analysis results and unitary savings values for prescriptive measures, as presented in the equation below. (ℎ) = [0; (ℎ) − (ℎ...

AI summary Energy savings from Home Energy Assessments (HEA) are calculated using HOT2000 simulations adjusted by billing analysis and prescriptive measure savings values, as outlined in the provided equation. This method integrates simulation results with real-world billing data to quantify efficiency gains.

Where: - › and correspond to the modelled total electrical energy consumption levels respectively obtained in HOT2000 during the D and E assessments. - › (ℎ) correspond to the unitary savings value established for heat pump water heaters (...

AI summary The text outlines energy savings calculations using HOT2000 assessments, adjustment ratios derived from billing analysis, and factors like heat pump water heaters (HPWHs) and heating source percentages. It emphasizes methodological approaches for quantifying efficiency gains from prescriptive measures in home energy assessments.

Measures Modelled in HOT2000 After the D and E home energy assessments, EAs model the given house in the HOT2000 energy simulation software to obtain the initial and final EnerGuide ratings of the house. Energy consumption levels obtained...

AI summary The HOT2000 energy simulation model is used to assess home energy efficiency measures by comparing initial and final EnerGuide ratings. Electrical energy savings are calculated and adjusted using Annual Ratios (ARs) derived from a billing analysis of 100% electrically heated homes that implemented specific measures.

Table 42: 2025 HEA Adjustment Ratios Scenario AR A participant who registered with a heat pump 1.24 A participant who registered without a heat pump and who did not have one installed 0.58 A participant who registered without a heat pump a...

AI summary Table 42 outlines 2025 HEA Adjustment Ratios for different participant scenarios related to heat pump registration and installation. The table includes three scenarios with corresponding adjustment ratios, indicating varying levels of impact based on heat pump participation.

Reporting Requirements HEA incentives originate from three sources of funding: Nova Scotia Power ratepayers for DSM, the Province of Nova Scotia, and the Government of Canada (CGH Grant). The inclusion of the CGH Grant as a co-funder of en...

AI summary HEA incentives are funded by Nova Scotia Power ratepayers (DSM), the Province of Nova Scotia, and the Canada Greener Homes Grant (CGH). Savings are reported to NSEB via DSM evaluations and the Province via government-funded reports. DSM focuses on electrical savings, while government reports emphasize participation and GHG reductions. Equations in Appendix XI address double-counting, and solar PV savings are included in DSM reports regardless of heating source.

19.2.3 Peak Demand Savings Peak demand savings correspond to the demand savings that coincide in time with the peak demand period of the electricity system. The projected electricity demand peak period in Nova Scotia is defined as the cold...

AI summary Peak demand savings refer to electricity demand reductions during Nova Scotia's peak period (coldest days between 5-7 PM in Dec-Feb). Calculations differ for measures modeled in HOT2000 versus prescriptive measures under Home Energy Assessments.

19.2.4 Supplemental File Adjustments Supplemental files refer to a new entry in the tracking sheet due to a participant having an approved application that was reopened and reprocessed following changes to the project file. Supplemental fi...

AI summary Supplemental files arise when approved applications are reopened due to project file changes, potentially affecting energy savings. E1 previously analyzed and claimed incremental savings from these files in HEA, but the process is now discontinued due to its time-consuming nature and minimal savings impact.

19.2.5 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling. Since most HEA measure savings are...

AI summary Interactive effects in energy efficiency measures are already accounted for in simulations for heating/cooling systems. Wood burning equipment's impact on heating is included in unitary savings calculations, while solar PV systems are unaffected by interactive effects. No additional adjustments are required for these measures.

19.2.6 Effective Useful Life The EUL values used in the calculation of electrical energy savings that are expected to persist over time are presented in the 2025 DSM MA. For the electrical energy savings that come from measures modelled in...

AI summary The 2025 DSM MA establishes weighted average EUL values for electrical energy savings from building envelope measures and space heating equipment under HEA. Equivalent EUL values are applied to gross and net first-year savings to calculate lifetime savings, resulting in differing weighted averages for gross and net savings.

Table 44: Evaluated 2025 HEA Gross Electrical Energy and Peak Demand Savings Measure Category HOT2000 Modelled Measures Wood Burning Equipment HPWHs Energy Efficiency Measure Subtotal Solar PV Measures Total Number of Participants 2,775 17...

AI summary Table 44 evaluates the 2025 Home Energy Assessment (HEA) gross electrical energy and peak demand savings across various measures, including heat pump and building envelope measures, wood burning equipment, and heat pump water heaters. The table provides data on participants, installed capacity, energy savings, and peak demand savings with and without adjustment ratios.

Table 48: 2025 HEA NTGR Values Measure Free-ridership Participant Spillover NTGR Energy Efficiency Measures 17% 0.84 Solar PV Measures 26% 1% 0.75 19.3.4 Unconverted Assessment Spillover

AI summary Table 48 presents the 2025 HEA NTGR Values, showing Energy Efficiency Measures with 17% free-ridership and Solar PV Measures with 26% free-ridership and 1% participant spillover. The NTGR values are 0.84 and 0.75, respectively. Section 19.3.4 discusses unconverted assessment spillover.

The unconverted D assessment savings spillover effect corresponds to the savings associated with those measures implemented by electrical participants who did not complete an E assessment by the end of the allocated 12-month period (referr...

AI summary The document discusses the unconverted D assessment savings spillover effect, which includes savings from electrical participants who did not complete an E assessment within the 12-month period. These savings were assessed in 2024 and used for the 2025 evaluation, as no data collection was conducted in 2025. The 2025 tracking sheet includes 2,069 participants using electricity as their primary heating source.

Table 49: 2025 HEA Unconverted D Assessment Spillover Savings Parameters Total Number of Unconverted D Assessment Participants 2,069 Ratio of Unconverted D Assessment Participants Who Implemented at Least One Measure 54% Total Number of Un...

AI summary Table 49 discusses the 2025 HEA Unconverted D Assessment Spillover Savings, detailing participants who implemented energy efficiency measures and the associated energy and demand savings. It notes that some participants previously had savings attributed to them but later participated in HEA, necessitating the reversal of prior savings to prevent double counting.

Table 50: 2025 HEA Unconverted D Assessment Spillover Reversals Parameters Spillover Savings Claimed Prior to 2024 Spillover Savings Claimed in 2024 Total Total Number of Unconverted D Assessment Spillover Participants from Previous Years...

AI summary Table 50 outlines the 2025 HEA Unconverted D Assessment Spillover Reversals, showing the number of participants, savings ratios, and energy savings metrics. The data highlights the impact of reversing prior spillover savings claims and the effectiveness of energy efficiency measures.

19.3.5 Savings Deductions for Participation in Other Residential Programs Several measures are offered under both HEA and Green Heat. In addition, Efficient Product Installation (EPI) introduced air sealing measures in 2019, and Solar Home...

AI summary The text discusses savings deductions for customers participating in multiple residential energy programs, ensuring that energy savings are not double-counted. E1 is responsible for identifying overlaps and calculating deductions, particularly for HEA, Green Heat, and EPI programs, and for SolarHomes.

Table 52: Evaluated 2025 HEA Net Electrical Energy and Peak Demand Savings Energy Efficiency Measures Solar PV Measures Total Electrical Energy Savings Gross Electrical Energy Savings – at the Meter (GWh) 5.941 7.550 13.491 Unconverted D A...

AI summary Table 52 presents evaluated 2025 HEA (Home Energy Assessment) net electrical energy and peak demand savings. The data shows that HEA surpassed its electrical energy and peak demand savings targets by 61% and 6%, respectively, as outlined in Figure 23.

21.1 MHEEP Description MHEEP provides energy efficiency upgrades to homes in Mi'kmaw communities at no cost to participants or communities. E1 works with community housing managers (HMs), two delivery agents (DAs), and Mi'kmawpreferred con...

AI summary The Mi'kmaw Home Energy Efficiency Project (MHEEP) delivers free energy upgrades to Mi'kmaw communities in Nova Scotia through E1, community housing managers, delivery agents, and contractors. Funded by DSM and provincial sources, MHEEP aims for 0.548 GWh electrical savings and 0.156 MW peak demand reductions by 2025, including home assessments, insulation, heating upgrades, and moisture management measures.

22 MHEEP Evaluation Approach The 2025 MHEEP evaluation comprised a condensed impact evaluation. The main objectives of the 2025 MHEEP evaluation were as follows: › Calculate MHEEP gross and net results, namely first-year and lifetime elect...

AI summary The 2025 MHEEP evaluation focused on calculating gross and net results, including first-year and lifetime electrical energy savings, peak demand savings, and avoided GHG emissions, through a condensed impact evaluation approach.

23 MHEEP Impact Evaluation The objectives of the 2025 MHEEP condensed impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as EUL values and associated lifetim...

AI summary The 2025 MHEEP condensed impact evaluation assesses electrical energy and peak demand savings, annual GHG emission reductions, and EUL values. The report focuses on electrical savings from installed measures, excluding nonelectrical benefits.

23.2 Gross Savings MHEEP gross savings correspond to the change in energy consumption resulting from the measures implemented by participants compared to the consumption level had those measures not occurred. [32](#page-64-1) In 2025, MHEE...

AI summary MHEEP gross savings are calculated based on energy consumption changes from implemented measures, using HOT2000 modeling for most upgrades and unitary savings values for programmable thermostats. The methodologies for evaluating these savings are detailed in subsequent subsections.

23.2.1 Electrical Energy Savings For MHEEP, electrical energy savings are calculated based on HOT2000 simulation results adjusted with billing analysis results and unitary savings values for prescriptive measures, as shown in the equation...

AI summary Electrical energy savings for the Mi'kmaw Home Energy Efficiency Project (MHEEP) are calculated using HOT2000 simulation results, adjusted with billing analysis and unitary savings values for prescriptive measures. The formula incorporates adjustment ratios (AR) derived from 2024 billing analyses and EnerGuide ratings. The methodology references the National Renewable Energy Laboratory's Uniform Methods Project.

Table 55: 2025 MHEEP Adjustment Ratios Scenario Evaluated AR AR A participant who registered with a heat pump 1.24 No change A participant who registered without a heat pump and who did not have one installed 0.58 No change A participant w...

AI summary Table 55 outlines the 2025 MHEEP Adjustment Ratios for different participant scenarios. Participants with heat pumps have higher adjustment ratios compared to those without. The program allows for both electrical and non-electrical savings, with electrical savings calculated based on the proportion of space heating covered by electrical systems.

Non-modelled Measures Programmable thermostats are not modelled in HOT2000. Instead, resulting energy savings are calculated based on unitary electrical energy savings values from the 2025 Demand-side Management Measure Assessment (DSM MA)...

AI summary Programmable thermostats are not modeled in HOT2000, with energy savings calculated via unitary electrical values from the 2025 DSM MA. The document notes no modifications to non-modelled MHEEP measures in the 2025 evaluation, referencing the DSM MA as a detailed resource for E1's DSM program parameters and savings calculations.

23.2.2 Peak Demand Savings Peak demand savings correspond to the demand savings that coincide in time with the peak demand period of the electricity system. The projected electricity peak demand period in Nova Scotia is between 5 p.m. and...

AI summary Peak demand savings in Nova Scotia are calculated during winter evenings (5-7 p.m., Dec-Feb). MHEEP uses a 0.283 MW/GWh ratio for space heating, validated by Navigant's 2016-2018 DSM Plan. Heat pumps are treated separately since 2021, with unitary savings based on capacity factors. Programmable thermostats use unitary values from the 2025 DSM MA, with no 2025 revisions.

23.2.3 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling. The interactive effects of the spa...

AI summary The text discusses interactive effects in energy efficiency measures, noting that HOT2000 simulations already account for these effects. Programmable thermostats, not modelled in HOT2000, are stated to have no interactive impacts, so no adjustments are required for this measure in the 2025 DSM MA.

23.2.4 Effective Useful Life As part of the 2025 DSM MA activities, the Evaluator reviewed the EUL values used in the calculation of electrical energy savings that are expected to persist over time. The EUL values for building envelope upg...

AI summary The Evaluator reviewed Effective Useful Life (EUL) values for building envelope upgrades and space heating equipment in the 2025 DSM MA activities, noting that EUL values for MHEEP measures remained unchanged. Calculations rely on data from HEA and MHEEP participants' installed measures.

Table 56: Evaluated 2025 MHEEP Gross Electrical Energy and Peak Demand Savings Total Number of Participants 157 Electrical Energy Savings Gross Electrical Energy Savings Without Adjustment Ratio (AR) – at the Meter (GWh) 0.545 Gross Electr...

AI summary Table 56 presents the evaluated 2025 MHEEP gross electrical energy and peak demand savings, including metrics such as energy savings with and without adjustment ratios, line loss factors, and effective useful life. The table also includes peak demand savings and a note on the change in the peak demand-to-energy ratio calculation methodology.

Gross savings at the generator were estimated by using a line loss factor of 1.0947 for electrical energy savings and 1.1466 for peak demand savings between the meter and the generator. These line loss factors were provided by NS Power and...

AI summary The document discusses the estimation of gross savings at the generator using line loss factors provided by NS Power, which were updated in 2019 and used in the 2014 Cost of Service Study Progress Update. It also mentions the average effective useful life (EUL) of the Mi'kmaw Home Energy Efficiency Project (MHEEP) and the calculation of GHG emission reductions based on Nova Scotia-specific factors.

Table 58: Comparison of Tracked and Evaluated 2025 MHEEP Savings at the Generator Gross Savings Net Savings Realization Value Unit NTGR Value Unit Rate Energy Savings Tracked Savings by E1 0.337 GWh 1.00 0.337 GWh Evaluation Results 0.337...

AI summary Table 58 compares tracked and evaluated energy and peak demand savings from the Mi'kmaw Home Energy Efficiency Project (MHEEP) in 2025. Energy savings show 100% realization, while peak demand savings are at 76% realization, based on Net-to-Gross Ratios (NTGRs).

24 MHEEP Key Findings and Recommendations As previously mentioned, the main objectives of the 2025 MHEEP evaluation were as follows: › Calculate gross and net MHEEP results, namely electrical first-year and lifetime electrical energy savin...

AI summary The 2025 MHEEP evaluation found net electrical energy savings (0.337 GWh) fell short of targets (0.548 GWh), while peak demand savings (0.319 MW) exceeded targets (0.156 MW). Participation dropped 18% to 157 participants, reducing total savings by 16% compared to 2024. Discrepancies in peak demand savings between evaluator and E1 arose from methodological changes.

Table 60: 2025 Residential Behaviour Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate net results › What are the evaluated first-year net electrical energy savings? › Is the participation level in other EN...

AI summary Table 60 outlines the 2025 Residential Behaviour Evaluation Approach, focusing on calculating net results through billing analysis and GHG emission reductions. The evaluation examines first-year energy savings, participation levels in ENS programs, and GHG emission reductions using AMI data from January to April 2025.

Analysis of Participation in Other Programs The Evaluator compared the participation levels between the treatment and control groups in other residential program components offered by E1, namely Efficient Product Installation (EPI), Green...

AI summary The Evaluator compared participation in E1's residential programs (EPI, Green Heat, HEA) between treatment and control groups to check for higher participation and avoid double-counting savings.

GHG Emission Reduction Calculation To obtain net avoided GHG emissions in CO2 eq for Residential Behaviour, the Evaluator multiplied the net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricit...

AI summary To calculate net avoided GHG emissions for Residential Behaviour, the Evaluator multiplied net energy savings by a Nova Scotia-specific electricity production emission factor derived from NS Power data.

27.2.3 Energy Savings The difference-in-difference (DiD) model is used to calculate savings for Residential Behaviour, which serves to compare the average change in electricity consumption in the treatment group prior to and during program...

AI summary The chunk discusses the use of a difference-in-difference (DiD) model to evaluate energy savings from residential behavior programs. It outlines pre- and post-program periods, notes data limitations due to a cybersecurity incident, and explains the preference for cumulative savings over monthly estimates for official reporting.

27.2.5 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling. For Residential Behaviour, interactive effect...

AI summary Interactive effects refer to how energy efficiency measures influence other energy-consuming systems like heating and cooling. For residential behavior, these effects are already factored into savings calculations using whole-house energy consumption data.

27.2.6 Effective Useful Life For Residential Behaviour, energy savings are assessed annually through a billing analysis that serves to calculate the change in electricity consumption between the program evaluation year (post-program period...

AI summary Residential Behaviour programs assess annual energy savings using billing analysis comparing pre- and post-program electricity consumption. A one-year Effective Useful Life (EUL) is applied because savings calculations reflect both first-year and long-term savings. This approach aligns with practices in Massachusetts, Illinois, Vermont, and New York.

27.2.7 Savings Deductions for Participation in Other Residential Programs A secondary aim of Residential Behaviour is to encourage customers to engage with other ENS programs tailored to their usage profiles. Therefore, treatment group cus...

AI summary The section outlines methods to avoid double-counting savings from the Residential Behaviour program by evaluating participation in other ENS programs (EPI, Green Heat, HEA) between treatment and control groups. Savings deductions are calculated if treatment groups show higher participation, using average savings per household and adjusted over the program's EUL.

Table 65: First-year Savings Deductions Calculation for 2025 Wave Program Component Average Net Savings per Household (GWh)45 Proportion of Increased Participation in Treatment Group (%) Average Number of Active Treatment Participants in 2...

AI summary Table 65 calculates first-year savings deductions for the Green Heat program under Wave 2 – Medium Users. The average net savings per household is 0.000793 GWh, with 0.0821% participation increase in the treatment group and 91,358 active participants in 2025, resulting in 0.0198 GWh of savings deductions.

28 Residential Behaviour Key Findings and Recommendations The main objective of the 2025 Residential Behaviour evaluation was as follows: › Calculate net results, namely electrical first-year energy savings as well as avoided GHG emissions...

AI summary The 2025 Residential Behaviour program was paused in May 2025 due to a cybersecurity incident at NS Power, limiting AMI data access. This resulted in only 5.555 GWh of net energy savings (vs. a target of 29.771 GWh) over four months (Jan-Apr 2025). High and medium electricity users achieved partial savings, while low users saw no statistically significant results.

Table 69: Overall 2025 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit HEA Electrical Ene...

AI summary Table 69 summarizes the 2025 residential participation and evaluated savings for various energy efficiency programs in Nova Scotia, including the Home Energy Assessment (HEA), Mi'kmaw Home Energy Efficiency Project (MHEEP), and Residential Behaviour initiatives. It provides data on electrical energy savings, peak demand savings, GHG emission reductions, and effective useful life (EUL) for each program.

Home Energy Assessment Appendix X HEA: Tracking Sheet Audit Appendix XI HEA: Reporting Requirements Appendix XII HEA: 2025 Recommendations

AI summary The document outlines appendices related to the Home Energy Assessment (HEA), including audit tracking, reporting requirements, and 2025 recommendations. These appendices provide procedural and evaluative frameworks for implementing and monitoring HEA initiatives in Nova Scotia.

This appendix presents the main results of the tracking sheet audit performed by the Evaluator, which was aimed at: - › Verifying that all data fields required for the evaluation were included and filled out in the tracking sheet submitted...

AI summary This appendix outlines the results of a tracking sheet audit conducted by the Evaluator to verify the completeness and accuracy of data submitted by EfficiencyOne (E1) for program evaluation, including validation of calculation methods and consistency with prior results.

Table 1: 2025 AMH Corrected Tracked Savings Value Tracked by E1 Corrected Tracked Value Relative Difference Program Component Results Value Unit Value Unit Value AMH Gross Electrical Energy Savings at the Generator 1.348 GWh 1.378 GWh 2.2%...

AI summary Table 1 presents corrected tracked savings for the 2025 AMH program, showing differences between initial and corrected values due to an incorrect line loss factor and the use of different peak demand-to-energy ratios by certain comprehensive projects.

Table 1: 2025 ASFH Corrected Tracked Savings Program Component Result Value Tracked by E1 Corrected Tracked Value Relative Difference Value Unit Value Unit Value ASFH Gross Electrical Energy Savings at the Generator 5.858 GWh 5.785 GWh -1....

AI summary The table presents corrected tracked savings for the 2025 Affordable Single-family Homes (ASFH) program, showing a decrease in both gross and net electrical energy and peak demand savings. The discrepancies between tracked and corrected savings are attributed to E1's outdated calculation methodology, with adjustments made by the Evaluator to correct ratios, line loss factors, and unclaimed savings.

Evaluated 2025 ASFH Allocation of EPI Gross Electrical Energy and Peak Demand Savings per Measure (Continued) Product Category Faucet Aerators Thermostatic Shower Valves 2.5 gpm Pipe Insulation Hot Water Tank Wraps Low-flow Showerheads 1.0...

AI summary The document evaluates the 2025 allocation of EPI gross electrical energy and peak demand savings per measure for Affordable Single-family Homes (ASFH). It includes data on product categories, installation rates, energy savings, and interactive effects factors, providing a detailed breakdown of energy efficiency measures implemented.

Evaluated 2025 ASFH Allocation of EPI Gross Electrical Energy and Peak Demand Savings Grand Total Number of Units Number of Units 5,299 Installation Rate (%) 90% Number of Units Installed 4,766 Electrical Energy Savings Gross Electrical En...

AI summary The 2025 Affordable Single-family Homes (ASFH) allocation of Efficient Product Installation (EPI) achieves 0.274 GWh gross electrical energy savings at the generator and 0.035 MW peak demand savings, with a 4.7-year effective useful life. Total units installed: 4,766 (90% of 5,299). Lifetime savings reach 1.290 GWh, adjusted for line loss factors.

Table 1: 2025 Green Heat Corrected Tracked Savings Value Tracked by EOne Corrected Tracked Value Relative Difference Program Component Result Value Unit Value Unit Value Green Heat Gross Electrical Energy Savings at the Generator 1.502 GWh...

AI summary Table 1 presents the 2025 Green Heat Corrected Tracked Savings, showing discrepancies between tracked and corrected values for electrical energy and peak demand savings. The differences are attributed to corrections made by the Evaluator.

For peak demand savings: - › An adjustment to the nominal heating capacity for 382 ductless mini-split heat pumps based on values found in NEEP Cold Climate Heat Pump list - › An adjustment to the peak demand savings calculation for ductle...

AI summary Adjustments to peak demand savings calculations for heat pumps and heating systems are proposed, including correcting E1's use of an incorrect baseline COP value (0.84 instead of 1.00), addressing ineligible participants with non-fully electric households, and revising savings values for pellet/wood stoves and a wood furnace baseline.

APPENDIX XI HEA Reporting Requirements HEA incentives originate from three sources of funding and are thus reported to different parties via the DSM evaluation and government-funded evaluation. The DSM evaluation is focused on reporting el...

AI summary HEA reporting requirements involve incentives funded by both DSM and government programs. The reporting methodology was updated in 2019 and 2024 to reflect changes in energy savings calculations, including the impact of fuel switching and the use of new adjustment ratios. The Canada Greener Homes Grant was incorporated in 2021 without changing the reporting structure.

Table 1: 2025 BER Evaluation Approach Evaluation Type Methodology Component Service Impact Process Market BER Application Rebates Comprehensive › Tracking sheet audit › Project reviews with site visits › Application of 2024 Demand-side Man...

AI summary The 2025 BER Evaluation Approach outlines methodologies for assessing the Business Energy Rebates (BER) program, including tracking sheet audits, site visits, participant surveys, and the use of the 2024 Demand-side Management Measure Assessment (DSM MA). It also involves GHG emission reduction calculations and jurisdictional scans of BNI lighting programs in North America.

Program Performance Table 2 below presents participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, and effective useful life (EUL) values for each service as well as for BER overall.

AI summary Table 2 provides data on participation levels, net-to-gross ratios (NTGRs), evaluated gross and net savings, annual GHG emission reductions, and effective useful life (EUL) values for each service and for BER overall.

Table 2: Evaluated 2025 BER Program Savings and Participation Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit Application Rebates ' Electrical Energy Savings 143 Projects 9.214 GWh 0.93 8.586 GWh L...

AI summary Table 2 evaluates the 2025 Business Energy Rebates (BER) program's savings and participation. The program exceeded its net electrical energy savings target by 5% but fell short of its peak demand savings target by 26%. Instant Rebates was the largest contributor to the program's overall savings.

BER Findings and Recommendations This subsection highlights the key findings and provides recommendations from the 2025 BER evaluation. 2025 BER-Finding: In 2025, BER achieved 40.244 GWh in net electrical energy savings and 5.332 MW in net...

AI summary The 2025 BER evaluation achieved 40.244 GWh net electrical savings (5% over target) but fell 26% short of peak demand savings targets. Business participation in Application Rebates dropped 36% (vs. 2024), while Instant Rebates grew 79%, driven by T8 LED promotions. Adjustment ratios for lighting/HVAC (1.117/1.006) and agriculture/commercial measures (0.951/0.514) were calculated, though the 0.514 ratio has high uncertainty.

INTRODUCTION EfficiencyOne (E1), an independent and non-profit organization, is responsible for helping Nova Scotians improve the energy efficiency of their homes and workplaces by designing, marketing, and delivering demand-side managemen...

AI summary EfficiencyOne (E1) is an independent, non-profit organization that delivers demand-side management (DSM) programs in Nova Scotia through the Efficiency Nova Scotia (ENS) franchise. E1's 2025 DSM program portfolio includes the Efficient Product Rebates program, which consists of Business Energy Rebates (BER) with Application Rebates and Instant Rebates. An evaluation report outlines the components and evaluation methods for these programs, focusing on baseline definitions, savings calculation methodologies, and net-to-gross ratios.

Table 4: Types of Evaluations Conducted for Each BER Service in 2025 Component Service 2025 Program Process Market Impact Efficient Product Business Energy Application Rebates (AR) Comprehensive Rebates Rebates (BER) Instant Rebates (IR) C...

AI summary Table 4 outlines the types of evaluations conducted for each BER service in 2025, including comprehensive and condensed evaluations for application and instant rebates. The Evaluator prepared a DSM evaluation report with findings on energy savings and GHG emissions.

Table 5: Implementation Status of Past Recommendations for BER # Recommendation Status Comments 2024-BER-R3 In line with recommendation 2024- BER-R1, research should also serve to investigate the efficiency level of a LED baseline for LED...

AI summary Table 5 outlines the implementation status of past recommendations for the Business Energy Rebates (BER) program. Two recommendations (2024-BER-R3 and 2024-BER-R4) have been marked as complete. E1 is conducting research on the efficiency level of a LED baseline and maintaining the current non-LED baseline for lamps, with reassessment planned for 2026.

BER Instant Rebates Although participant tracking has improved in recent years and the tracking sheet captures the total number of rebated measures, data collected from distributors do not enable the for identification of unique Instant Re...

AI summary The BER Instant Rebates program saw a 79% increase in rebated measures in 2025, though participation is measured by total measures rather than unique participants. Product participation varied significantly, with LED linear lamps rising 196% due to temporary program changes, while other categories declined. LED linear fixtures accounted for 40% of energy savings in 2025.

BER Overall As presented in [Figure](#page-151-1) 7 below, BER generated a total of 45.081 GWh in gross electrical energy savings at generator in 2025, which represents a 4% decrease compared to 2024 results. In 2025, gross peak demand sav...

AI summary BER generated 45.081 GWh in gross electrical energy savings in 2025, a 4% decrease from 2024, and 6.046 MW in gross peak demand savings, a 11% decline. Lower participation in Application Rebates drove the reductions.

2 BER Evaluation Approach The 2025 BER-AR evaluation consisted of a comprehensive impact evaluation. In contrast, BER-IR consisted only of a condensed impact evaluation. The objectives of the 2025 BER evaluation were as follows: - › Calcul...

AI summary The 2025 BER evaluation approach distinguishes between comprehensive (BER-AR) and condensed (BER-IR) impact evaluations. Objectives include calculating energy savings, GHG reductions, validating 2024 market results, and determining LED baseline timing for BER-IR. Research questions and methods are outlined to achieve these goals.

Table 6: 2025 BER Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate net results › What is the free-ridership level for BER-AR in 2025? › What is the spillover level for BER-AR in 2025? › What are the evalua...

AI summary Table 6 outlines the 2025 Business Energy Rebates (BER) Evaluation Approach, focusing on calculating net results through methods like participant surveys, site visits, and GHG emission reduction calculations to assess free-ridership, spillover, and energy savings.

Effective Useful Life Update The Evaluator reviewed the EUL values for all measure categories and recalculated the EUL values of lighting measures for which baseline changes are anticipated during the measure lifetimes.

AI summary The Evaluator reviewed and recalculated Effective Useful Life (EUL) values for lighting measures, focusing on categories where baseline changes are expected during the measure lifetimes, ensuring accurate energy efficiency assessments.

3.2 Gross Savings Gross savings refer to changes in energy consumption resulting from actions taken by participants compared to the consumption level had those actions not occurred. [6](#page-157-4) Gross electrical savings values are trac...

AI summary Gross savings measure energy consumption changes from participant actions, tracked by E1 via the Customer Information System (CIS). This quantifies reductions in energy use compared to baseline levels without interventions.

HVAC Adjustments to HVAC measures were minimal overall. Most changes involved correcting the coefficient of performance (COP) for high efficiency heat pump technology at –15 °C (COPee_min), the Heating Seasonal Performance Factor (HSPFee),...

AI summary Adjustments to HVAC measures were minimal, focusing on correcting performance factors like COPee_min, HSPFee, HEEFee, and CEEFee based on AHRI submittals. One project was excluded due to discrepancies between application details and site conditions.

Other Measure Categories Data collection to update adjustment ratios for the remaining measure categories, namely agriculture (4 projects), motor (8 projects), refrigeration (4 projects), and commercial kitchen (1 project), was also carrie...

AI summary Data collection in 2025 updated adjustment ratios for agriculture, motor, refrigeration, and commercial kitchen measures. Adjustments were based on participant declarations, site conditions, and equipment specifics, with notable changes in energy savings calculations for refrigeration and motor categories.

3.2.2 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling; these are considered in the gross savings stan...

AI summary Interactive effects refer to impacts of energy efficiency measures on heating/cooling systems, considered in E1's gross savings calculations. For BER-AR, these effects apply only to indoor lighting projects. The Evaluator updated interactive effects factors in the 2025 DSM MA based on building type and lighting characteristics, confirming correct application through site visits.

The differences between tracked and evaluated savings outlined in the figures are the results from applying updated adjustment ratio values across all measure categories and revised interactive effects values for recessed fixture lighting...

AI summary The document discusses differences between tracked and evaluated savings in the 2025 Application Rebates, resulting from updated adjustment ratio values and revised interactive effects for recessed fixture lighting measures. It also references figures and a table related to electrical energy and peak demand savings, as well as GHG emission reductions calculated using a Nova Scotia-specific factor.

4.2 Gross Savings For Instant Rebates, gross savings refer to changes in energy consumption resulting from actions taken by participants compared to the consumption level had those actions not occurred. [12](#page-169-5) Since the identifi...

AI summary Gross savings for Instant Rebates are calculated based on energy consumption changes from participant actions, using assumptions and parameters like baseline wattages, ballast factors, and peak coincidence factors. E1 estimates these savings, with equations detailed in the 2025 DSM MA.

4.2.2 Energy Savings As part of 2025 DSM MA activities, several parameters were updated and some measures eligible under Instant Rebates were impacted. In 2025, the unitary savings values for circulator pumps were updated. The tracked and...

AI summary Updates to 2025 DSM MA parameters affected circulator pump savings values, with changes detailed in Table 15. The Uniform Methods Project's definition is cited for unitary savings estimation.

4.2.4 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling; these are taken into account in the gross unit...

AI summary This section discusses interactive effects in energy efficiency measures, particularly how they impact heating and cooling systems. It explains how the Evaluator calculated these factors for eligible products under the 2025 DSM MA activities, noting differences between tracked and evaluated factors due to updated methods and building mix in 2025.

Table 16: 2025 Instant Rebates Interactive Effects Factor Calculation Results Measure Tracked Interactive Effects Factor for Energy Savings Tracked Interactive Effects Factor for Peak Demand Savings Evaluated Interactive Effects Factor for...

AI summary Table 16 presents the 2025 Instant Rebates Interactive Effects Factor Calculation Results for various lighting measures, including LED linear fixtures and lamps, showing the impact on energy and peak demand savings. The table includes both tracked and evaluated factors for different types of fixtures and their weighted averages.

Table 18: 2025 Instant Rebates Evaluated Gross Electrical Energy and Peak Demand Savings Measure Category LED Linear Fixtures LED Linear Lamps LED Outdoor Fixtures LED Directional and Architectural Fixtures Outdoor Motion Sensors Indoor Oc...

AI summary Table 18 evaluates the gross electrical energy and peak demand savings for various energy efficiency measures under the 2025 Instant Rebates program. It provides data on the number of units, energy savings at the meter and generator, effective useful life, and peak demand savings across different measure categories.

[Figure](#page-174-0) 10 below compares the tracked and evaluated gross electrical energy savings, while [Figure](#page-174-1) 11 further below compares the tracked and evaluated gross peak demand savings. The slight differences between tr...

AI summary The text discusses differences between tracked and evaluated gross electrical energy and peak demand savings, attributed to updated factors such as energy and demand line loss, interactive effects for lighting measures, and unitary energy savings for circulator pumps. It also mentions the calculation of GHG emission reductions using a Nova Scotia-specific factor applied to Instant Rebates gross savings.

Table 21: 2025 Instant Rebates Evaluated Net Electrical Energy and Peak Demand Savings Measure Category LED Linear Fixtures LED Linear Lamps LED Outdoor Fixtures LED Directional and Architectural Fixtures Outdoor Motion Sensors Indoor Occu...

AI summary Table 21 provides a detailed evaluation of the 2025 Instant Rebates, showing net electrical energy and peak demand savings across various measure categories. The table includes gross and net savings, NTGR, line loss factors, and effective useful life for each measure category.

5 Overall BER Results As outlined in [Figure](#page-179-1) 12, BER exceeded the planned net electrical energy savings by 5% and fell short of the planned peak demand savings target by 26%. Figure 12 : 2025 BER Targeted and Evaluated Net El...

AI summary The 2025 BER (Building Energy Retrofit) program exceeded its net electrical energy savings target by 5% but fell short of its peak demand savings target by 26%. Table 23 compares tracked savings to evaluated savings and realization rates.

Participating distributor quote: "Large industrial customers […] everything is LED. but they are not fast on doing capital work for renovation. If you have to change a fixture. it has to go through an engineering review and with manpower c...

AI summary The quote highlights that large industrial customers in Nova Scotia are slow to adopt LED lighting due to delays in capital work, engineering review requirements, and prioritization of production over renovation. Older technologies remain in use among slower-moving industrial sectors.

6.3 Jurisdictional Scan This subsection outlines the results of a jurisdictional scan of eight North American jurisdictions that served to examine current commercial and industrial lighting program offerings, baseline assumptions, and rece...

AI summary This section describes a jurisdictional scan of eight North American jurisdictions to examine current and recent changes in commercial and industrial lighting programs. The review includes jurisdictions such as Mass Save, Efficiency Maine, and Hydro-Québec, with a table summarizing program types and changes.

Table 28: Summary of Jurisdictional Scan Findings by Region Program Administrator Region Instant Rebate Program Application Rebate Program Custom Program Direct Install LED Incentives Continuing in the Near Term? 1. National Grid (Mass Sav...

AI summary Table 28 summarizes findings from a jurisdictional scan of energy efficiency programs across various regions. It details the presence and structure of instant rebate, application rebate, custom, and direct install programs, with specific information on LED incentives and their continuation in the near term. Some programs are being phased out or updated, such as in Ontario and Quebec.

6.3.1 Baseline Approach and Effective Useful Life (EUL) Assumptions for Application Programs The Evaluator also investigated the baseline approach and EUL assumptions utilized for LED lighting in midstream and application rebate programs f...

AI summary The Evaluator examined baseline approaches and Effective Useful Life (EUL) assumptions for LED lighting in rebate programs across eight jurisdictions. Existing lighting baselines and EUL assumptions vary, with some programs sunsetting in 2026 due to LED market changes. Nova Scotia's current approach for BER-AR lighting measures does not account for recent LED fixture market transformations.

Table 29: Jurisdictional Scan. Baseline. and EUL Assumptions Program Administrator Region Program Type Existing Lighting Baseline Market Blend Baseline Dual Baseline Efficiency One Nova Scotia. Canada Instant. application EUL = full lifeti...

AI summary Table 29 compares lighting baseline assumptions across various energy efficiency programs in different jurisdictions, highlighting differences in Effective Useful Life (EUL) assumptions and program structures, such as instant application, custom, and direct install approaches.

Dual Baseline Approach for BER-AR and SBES For SBES, since the target population is small businesses, Econoler assumes that the majority of projects is early replacement. Therefore, Econoler recommends using the UMP approach to develop a d...

AI summary Econoler recommends a dual baseline approach for SBES using the UMP method, combining existing and LED baselines. For BER-AR, two options are proposed: targeting market laggards with early replacement criteria or using a blended baseline. Both programs aim for full market transformation by 2028-2029, eliminating future savings opportunities.

7 BER Key Findings and Recommendations The main objectives of the 2025 BER evaluation were as follows: - › Calculate BER gross and net results, namely first-year and lifetime electrical energy savings, peak demand savings, as well as avoid...

AI summary The 2025 BER evaluation found BER exceeded net electrical energy savings targets by 5% (40.244 GWh) but missed peak demand savings by 26% (5.332 MW vs. 7.241 MW target). Application Rebates participation declined, while Instant Rebates achieved record participation since 2019, boosting savings compared to 2024.

D5. [ASK ONLY IF DLC Premium=YES] Without the Business Energy Rebates Program, what is the likelihood that you would have purchased DLC Premium LED lighting products? 1. Definitely would have 2. Probably would have 3. Probably would not ha...

AI summary The text presents survey questions related to the Business Energy Rebates Program, focusing on customer behavior regarding the purchase of energy-efficient lighting products and the use of energy management services. It explores the impact of the rebate program on purchasing decisions and project implementation.

Table 1: BER-AR Participant Survey Free-ridership Algorithm (Heat Pumps) INTENTION 1 – Heat Pump Question Answer Score Planning C1. Had you already decided to purchase and install a heat pump before you heard about Efficiency Nova Scotia's...

AI summary This table outlines a free-ridership algorithm used in the BER-AR Participant Survey to assess whether participants in the Business Energy Rebates Program would have installed heat pumps without the rebate. It includes questions about prior decisions and likelihood of installation without the rebate.

Table 2: BER-AR Participant Survey Free-ridership Algorithm (Lighting) INTENTION D7. [ASK IF D2=1 OR D4=1, 2 OR 3] Without the Business Energy Rebates Program, what is the likelihood that you would have postponed the purchase of the energy...

AI summary This table outlines the free-ridership algorithm used in the BER-AR Participant Survey for the Lighting program, including questions about the likelihood of postponing purchases and scoring methods to assess free-ridership.

Energy and Peak Demand Savings Algorithms The following algorithms include the parameters required to determine the annual energy savings and the annual peak demand savings associated with a low-bay LED luminaire replacement measure. [1] E...

AI summary The document outlines mathematical formulas for calculating annual energy savings and annual peak demand savings from replacing low-bay LED luminaires. Key parameters include baseline and efficient wattage, demand factors, usage factors, and conversion factors.

Tracked Savings Calculation The example project for these savings calculations is a New Construction project. To accurately represent a theoretical baseline fixture, ENS refers to the New Construction Baseline table created with the Evalua...

AI summary The document outlines the method for calculating tracked savings in a New Construction project, using baseline fixture wattages defined by Efficiency Nova Scotia (ENS) based on fixture type, function, and lumen output. Different baseline assumptions are applied for the parkade and stairwell areas, with wattage data obtained from product specifications.

Table 1: Tracked Variables for Example Calculation Baseline Measure - New Construction Parameter Value – Measure 1 Value – Measure 2 Source Existing Lamp Quantity 180 20 Tracking Report Baseline Lamp Wattage (W) 112 59 Tracking Report Exis...

AI summary Table 1 presents a comparison of baseline and new measure energy consumption and demand for lighting in new construction, including calculated and tracked energy and demand savings. The table includes parameters like lamp quantity, wattage, hours of operation, and calculated savings in kWh and kW.

B. Lighting Market Assessment - B1. Based on your observations, what's happened in the commercial LED lighting market in the past three years in terms of…? [ASK FOR EACH] - b. New technologies [Any differences between LED lamps and LED fix...

AI summary The document asks about changes in the commercial LED lighting market over the past three years, including technology, demand, product offerings, availability, and pricing. It also requests the proportion of LED versus non-LED lighting stock in 2025 and asks if participation in the Midstream Business Rebate Program affected this percentage.

- 1. You are selling very few, most customers are replacing whole fixtures with LED fixtures - 2. Compared to 2022 your sales are decreasing, as more customers are replacing whole fixtures with LED fixtures. - 3. Compared to 2022, there is...

AI summary The text discusses trends in the sales of replacement lamps for outdoor and high bay fixtures in 2025, noting a decrease in sales due to customers replacing whole fixtures with LED fixtures. It also asks why non-LED lighting products are still being carried in certain categories.

- C) [IF LESS THAN 100% FOR LED AT B11A)] When do you expect LED products to make up 100% of your [READ CATEGORY NAME] sales? Lighting Estimated Sales (%) in 2027 Lighting Category % LED % Non-LED [Why increase/decrease Year anticipated fo...

AI summary This section of the regulatory proceeding document asks respondents to estimate when LED products will make up 100% of sales in various lighting categories and to provide details on the percentage of DLC certified LED fixtures before and after participation in the Midstream Business Rebate Program.

Table 1: Overview of Data Collection Activity Descriptor This Instrument Instrument Type Interview guide Estimated Time to Complete 30 min Target Audience Nova Scotia – Non-participating Lighting Distributors Expected Number of Completes 2...

AI summary This document outlines data collection activities for an interview guide targeting non-participating lighting distributors in Nova Scotia. The guide includes sections on screening, lighting market assessment, and awareness of the BER-IR program. The research is to be adapted by Econoler and conducted by Narrative Research.

Introduction Thank you for taking the time to speak with me today. I am interested in your perspective on the state of the lighting market in Nova Scotia and New Brunswick. Econoler, in partnership with Narrative Research, is conducting th...

AI summary Efficiency Nova Scotia, in partnership with Econoler and Narrative Research, is conducting market research on the lighting market in Nova Scotia and New Brunswick to improve rebate programs. The research involves confidential interviews with participants, with optional audio recording permitted with consent.

This appendix summarizes all the recommendations made by the Evaluator as part of the 2025 BER evaluation. Section Recommendations Executive Summary Recommendation #12: Monitor the market and plan for full market transformation in the next...

AI summary The appendix summarizes recommendations from the 2025 BER evaluation, including a recommendation to monitor the market and plan for full market transformation within three to four years, with no further opportunities under SBES and BER-AR after 2028.

ABBREVIATIONS BDM Business Development Manager BER Business Energy Rebates BNI Business, non-profit, and institutional BOpt Building Optimization CPA Customer Project Agreement DR Demand response DSM Demand-side management DSM MA Demand-si...

AI summary A list of abbreviations and their expansions used in regulatory proceedings, including terms related to energy efficiency, demand-side management, and utility programs. Key acronyms include DSM, BER, and NSUARB, with definitions covering technical, programmatic, and organizational terms.

DEFINITIONS Adjustment ratio The ratio of evaluated results to tracked results. This ratio expresses the adjustment made to tracked savings or other tracked values such as effective useful life values. The capacity that is available to Nov...

AI summary The text defines key terms related to energy efficiency and demand response, including adjustment ratios, available demand response capacity, baseline establishment, bias, billing calibration, confidence intervals, and demand response measures. These definitions are critical for understanding how energy savings are calculated and evaluated.

Table 1: Summary of 2025 Custom Incentives Program Evaluation Program Evaluation Type Component Impact Process Market Methodology Custom Comprehensive › Participant phone interviews › Project file reviews and participant follow-up intervie...

AI summary The document provides a summary of the 2025 Custom Incentives Program Evaluation, outlining the evaluation methods used, including participant interviews, project file reviews, site visits, and calculations for avoided GHG emissions. The evaluation covers various program components and performance metrics.

Table 2: Overall 2025 Custom Incentives Participation and Savings Partic ipation Level Gros s Savings NTGR Net Net Savings Value Unit Value Unit Value Unit Value Custom • ' ' ' ' Electrical Energy Savings 36.207 GWh 0.84 30.487 GWh Lifetim...

AI summary Table 2 provides an overview of the 2025 Custom Incentives Participation and Savings, detailing metrics such as electrical energy savings, peak demand savings, GHG emission reductions, and energy use life (EUL) for both completed and ongoing projects. The data highlights the impact of these incentives on energy efficiency and environmental outcomes.

Custom General Key Findings and Recommendations 2025 Custom-Finding: Custom achieved 30.487 GWh in net electrical energy savings and 6.372 MW in net peak demand savings at the generator in 2025, thereby surpassing by 26% the planned electr...

AI summary The 2025 Custom program exceeded energy savings targets by 26% and 32% for electrical energy and peak demand, respectively. Participation shifted toward BOpt and New Construction, while Retrofit participation declined. Adjustment ratios varied across services, and free-ridership levels decreased for most categories. Evaluated savings were 8% higher than E1-tracked savings.

EfficiencyOne (E1), an independent and non-profit organization, is responsible for helping Nova Scotians improve the energy efficiency of their homes and workplaces by designing, marketing, and delivering demand-side management (DSM) for N...

AI summary EfficiencyOne (E1) is a non-profit organization responsible for delivering demand-side management (DSM) programs in Nova Scotia through the Efficiency Nova Scotia (ENS) franchise. E1 is funded by Nova Scotia Power (NS Power) ratepayers and has a portfolio of residential, BNI, and demand response programs. Econoler was commissioned to evaluate E1's 2025 DSM program portfolio, including the Custom Incentives program and its components, such as Strategic Energy Management (SEM). The evaluation focuses on baseline definitions, savings calculation methods, parameter values, and net-to-gross ratios.

Table 4: Types of Evaluations Conducted for Each Program Component, 2025 Program Program Component 2025 Process Market Impact Custom Incentives Custom Comprehensive SEM Comprehensive For each program, the Evaluator prepared a DSM evaluatio...

AI summary Table 4 outlines the types of evaluations conducted for program components in 2025, including comprehensive evaluations for Custom Incentives and SEM. The Evaluator prepared DSM evaluation reports that include first-year and lifetime energy savings, peak demand savings, and GHG emissions.

Retrofit - •Technical and financial support to help organizations conduct scoping and feasibility studies. - •Technical and financial support for the implementation of energy efficiency projects using a customized and flexible approach.\ -...

AI summary The Retrofit program offers technical and financial support for energy efficiency projects, targeting organizations with annual electricity consumption of 350,000 kWh or higher. It emphasizes customized approaches for scoping studies and project implementation, provided projects have not yet commenced.

New Construction - •Technical and financial support to achieve electrical energy savings in new buildings and for major renovations in existing buildings, excluding savings from lighting systems. - •Participation begins at the preliminary...

AI summary The New Construction program offers technical and financial support for energy efficiency in new buildings and major renovations (excluding lighting), requiring participation from the preliminary design stage. Eligible facilities must be 15,000 sq ft or larger, achieve 25% total energy consumption reduction, and save at least 100,000 kWh in electricity.

Table 5: Implementation Status of Past Recommendations for Custom # Recommendations Status Comments 2022-Retrofit-R2 Require measurement and verification (M&V) efforts based on the International Performance Measurement and Verification Pro...

AI summary The 2022-Retrofit-R2 recommendation requires M&V efforts based on the IPMVP Option C approach for indoor horticultural lighting projects. Implementation is in progress, with E1 staff trialing the approach and facing delays that have pushed the assessment into 2026.

Retrofit In 2025, electrical energy savings and/or peak demand savings were generated by a total of 46 Retrofit projects, including: - › 37 projects that were completed and claimed final savings in 2025: - › 31 single-year projects - › Six...

AI summary In 2025, 46 Retrofit projects generated energy and peak demand savings, with 37 completed projects yielding 51% fewer total savings than 2024 but 6% higher average savings per project. Refrigeration, solar PV, and compressed air upgrades were top contributors. Participation declined compared to prior years.

Building Optimization A total of nine Building Optimization projects reported savings in 2025, all of which were single-year projects. As illustrated i[n Figure](#page-70-0) 5 below, while the number of projects completed in 2025 increased...

AI summary Nine Building Optimization projects reported 2025 savings, but gross electrical energy savings per project dropped 57% compared to 2024. This decline stems from a 2024 multi-site project inflating prior savings metrics and an ongoing multiyear project claiming partial savings in 2024 but not 2025. Total savings decreased 69% for energy and 79% for peak demand.

2 Custom Evaluation Approach The 2025 Custom evaluation comprised a comprehensive impact evaluation for Retrofit, P4P, and New Construction. For Building Optimization, given its smaller contribution to Custom savings, NTGR results from 202...

AI summary The 2025 Custom evaluation focuses on assessing the impact of Retrofit, Pay-for-Performance (P4P), and New Construction programs. It includes calculating energy savings, peak demand reductions, and GHG emissions. The evaluation uses NTGR results from 2021 for Building Optimization due to its smaller contribution to savings.

3.2.1 Savings Verification For compressed air leak and solar PV projects, the Evaluator verified savings by validating that the correct input parameters were used by E1 to estimate savings following a semi-prescriptive approach. For compre...

AI summary The section outlines savings verification methods for compressed air leak and solar PV projects. The Evaluator confirmed E1's use of correct input parameters and 2021/2023 adjustment ratios to calculate gross energy and peak demand savings, ensuring compliance with semi-prescriptive approaches.

Note on the M&V Approach Used for Compressed Air Leak Projects For most compressed air leak projects completed through Retrofit, permanent or temporary submetering was not available. In these cases, the Evaluator accepted the use of ultras...

AI summary The Evaluator accepts ultrasonic leak detectors as a valid M&V method for compressed air leak projects when submetering is unavailable, citing industry acceptance and cost considerations. Leak-down tests are deemed impractical due to production interruptions. Conservative compressor efficiency assumptions are used when facility-specific data is absent, aligning with IPMVP Core Concepts.

3.2.2 Project Review Sampling Methodology For the regular Retrofit project category, the Evaluator used a stratified sampling approach to select 18 projects for review from a total of 27 projects completed in 2025. More specifically, the E...

AI summary The Evaluator used stratified sampling to review 18 of 27 completed Retrofit projects in 2025, prioritizing larger projects (100% sample rate) and randomly selecting from smaller strata. The sample represented 88% of total energy savings, excluding projects with partial 2025 savings claims. Gross savings were extrapolated using a weighted average adjustment ratio.

3.2.3 Project Review Findings The Evaluator reviewed a sample of projects completed in 2025 to ensure the best M&V practices were applied to commercial and industrial energy efficiency projects and adjusted the tracked savings accordingly....

AI summary The Evaluator reviewed 2025 energy efficiency projects to ensure proper M&V practices were applied, adjusting tracked savings accordingly. Nine ongoing projects with partial 2025 savings claims were excluded from review and will be evaluated upon completion.

Regular Retrofit Project Reviews As a result of the review process, the Evaluator adjusted the savings of three of the 18 sampled regular Retrofit projects, resulting in one project only having electrical energy savings adjustments and two...

AI summary The Evaluator adjusted savings calculations for three of 18 sampled Retrofit projects, correcting electrical energy and peak demand savings. Adjustments included upward revisions to annual hours and peak demand estimates. The Evaluator recommends E1 adopt best practices for future peak demand savings calculations to improve accuracy.

3.2.4 Interactive Effects Since interactive effects vary significantly from one Retrofit project to another, they are taken into account in the project engineering calculations used to obtain initial gross savings. Any required adjustments...

AI summary Interactive effects in Retrofit projects are variable and considered in engineering calculations for initial gross savings. Adjustments to these factors are made during project reviews to ensure accuracy.

Table 10: Example of a 2025 True-up Adjustment 2024 2025 Total Tracked Savings (kWh) 105,187 63,884 169,071 Year-specific Adjustment Ratio 1.021 1.003 Revised Savings Prior to True-up (kWh) 107,396 64,076 171,472 Total Project Revised Savi...

AI summary Table 10 shows a 2025 true-up adjustment example, illustrating tracked savings, adjustment ratios, and revised savings. Table 11 builds on this by applying adjustment ratios and true-up adjustments to Retrofit projects' energy and peak demand savings. Line loss factors from NS Power's 2014 study are used for calculations, with assumptions for municipal utilities.

3.3.1 Free-ridership In the case of Retrofit, free-ridership occurs when participants would have still implemented energy efficiency upgrades and measures in the absence of the service. For solar PV projects, the NTGR measured as part of t...

AI summary The text discusses free-ridership in energy efficiency programs, particularly Retrofit and solar PV projects. Free-ridership occurs when participants would have implemented energy efficiency measures regardless of the program. The 2023 NTGR was used for 2025 results, and self-reporting via phone interviews was used to assess free-ridership levels for Retrofit and compressed air leak projects, adjusting the level based on participant influence from E1 activities.

3.3.2 Spillover For Retrofit, participant spillover occurs when participants implement eligible energy efficiency measures due to the influence of previous participation in the service without receiving any kind of additional support. [13]...

AI summary The document defines spillover in the Retrofit program as participants implementing energy efficiency measures influenced by prior participation without additional support. Two participants reported self-initiated measures, but the Evaluator concluded overall spillover for regular Retrofit was nil. Findings were based on phone interviews and an algorithm detailed in Appendix IV.

4 Pay-for-Performance Impact Evaluation The objectives of the 2025 Pay-for-Performance (P4P) impact evaluation were to determine gross and net electrical energy savings and peak demand savings, annually avoided GHG emissions, as well as EU...

AI summary The 2025 Pay-for-Performance (P4P) impact evaluation aimed to assess electrical energy savings, peak demand reductions, GHG emissions avoidance, and Effective Useful Life (EUL) values. P4P categorizes savings into partial (incomplete projects) and final (completed projects), with one single-year project and five multiyear projects reporting partial savings in 2025.

4.2 Gross Savings Gross savings correspond to changes in energy consumption resulting from actions taken by participants compared to the consumption level had those actions not occurred. This subsection describes the review methodology use...

AI summary Gross savings are calculated based on energy consumption changes from P4P projects, using M&V practices and data from participants and E1. Engineering assumptions supplement available data to assess project impacts.

4.2.1 Project Review Findings The Evaluator reviewed the single completed P4P project in 2025, which involved the implementation of an advanced building automation system to optimize set point control and scheduling of a building heating,...

AI summary The Evaluator reviewed a completed P4P project in 2025 involving advanced building automation for HVAC optimization. No adjustment was made to electrical energy savings, but peak demand savings were downwardly adjusted due to misalignment with Nova Scotia's peak demand periods. Ongoing projects with partial claims were deferred for future evaluation.

4.2.4 Evaluated Gross Savings [Table](#page-86-2) 18 below presents the overall evaluated gross savings for P4P. For the one single-year project completed in 2025, evaluated gross electrical energy and peak demand savings were determined f...

AI summary The section discusses the evaluated gross savings for the Pay-for-Performance (P4P) program, detailing how savings are calculated for completed and partially completed projects. It mentions the use of line loss factors based on the 2014 Cost of Service Study Progress Update provided by NS Power.

5 New Construction Impact Evaluation The objective of the 2025 New Construction impact evaluation was to determine gross and net electrical energy and peak demand savings.

AI summary The 2025 New Construction Impact Evaluation aimed to assess gross and net electrical energy and peak demand savings. The evaluation focuses on quantifying energy efficiency outcomes from new construction projects, aligning with broader energy conservation goals.

5.2 Gross Savings This subsection describes the methodology used by the Evaluator to review the gross savings of New Construction projects. For New Construction, the gross savings for each participating building are calculated using energy...

AI summary The Evaluator calculates gross savings for New Construction projects by comparing energy models of baseline (NECB Part 8 and E1 guidelines) and proposed designs using simulation software. The 2025 evaluation focused on reviewing these energy models to assess savings from efficiency measures.

5.2.2 Project Review Findings The 12 project reviews were intended to validate the energy models developed for the baseline and proposed cases of each project and the resulting savings. The Evaluator based the review mainly on the project...

AI summary The project reviews validated energy models for 12 projects, primarily using eQuest. Most files were well-documented, but two projects by a new modeller required remodelling. The Evaluator recommended additional review time for new modellers and clarification on heat recovery ventilator parameters in program guidelines.

Electrical Energy Savings Positive or negative adjustments were made to the tracked gross electrical energy savings of all 12 projects reviewed by the Evaluator for 2025. The energy model reviews resulted in an average adjustment ratio of...

AI summary Adjustments to gross electrical energy savings for 12 projects in 2025 averaged 0.949 (±5.6%), primarily due to HVAC/building envelope discrepancies, new modeller remodelling, and clerical errors. No recurring issues were identified.

5.2.3 Interactive Effects Since New Construction savings are based on the results of simulation models which calculate the total electricity consumption of both proposed and reference buildings, interactive effects are already accounted fo...

AI summary Interactive effects in new construction energy savings are already accounted for through simulation models that compare proposed and reference building electricity consumption. No additional interactive effects factor was applied to savings calculations.

Total Number of Projects 33 Electrical Energy Savings Tracked Gross Electrical Energy Savings – at the Meter (GWh) 18.235 Adjustment Ratio for Electrical Energy Savings 0.949 Gross Electrical Energy Savings – at the Meter (GWh) 17.307 Line...

AI summary The table presents energy savings and GHG emission reductions from 33 projects. It includes electrical energy savings, peak demand savings, and adjustments for line loss. GHG reductions are calculated using a Nova Scotia-specific factor applied to new construction savings.

6 Building Optimization Impact Evaluation The objectives of the 2025 Building Optimization impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as EUL values a...

AI summary The 2025 Building Optimization Impact Evaluation assessed energy savings, peak demand reductions, GHG emissions avoidance, and EUL values. It identified three savings categories, with nine single-year projects achieving final savings in 2025. No multiyear projects or partial savings claims were reported.

6.2.4 Evaluated Gross Savings [Table](#page-97-1) 28 below presents the overall 2025 evaluated gross savings for Building Optimization. In 2025, no multiyear projects were completed, and no partial savings claims were made; consequently, t...

AI summary Table 28 details 2025 evaluated gross savings for Building Optimization, noting no multiyear projects were completed. Total savings equal final claims for single-year projects. Savings calculations use line loss factors from NS Power's 2014 Cost of Service Study Progress Update, applied per rate code.

Table 29: Evaluated 2025 Building Optimization Gross GHG Emission Reductions Total Gross Electrical Energy Savings – at the Generator (GWh) 0.609 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 4...

AI summary Table 29 evaluates the 2025 Building Optimization Gross GHG Emission Reductions, showing 0.609 GWh of electrical energy savings, a GHG emissions factor of 469.3 tonnes of CO2 eq/GWh, and a total of 286 tonnes of CO2 eq in annual GHG emission reductions.

Net savings represent the savings that can be reliably attributed to a service. For Building Optimization, net savings are calculated by applying the NTGR value using the following equation. Net Savings = Gross Savings × NTGR The detailed...

AI summary Net savings for Building Optimization are calculated using the Net-to-Gross Ratios (NTGR) value, resulting in 260 tonnes of CO2 eq in annual GHG emission reductions. The average Energy Use Lifetime (EUL) was established at 3.0 years. Free-ridership and spillover levels were last measured in the 2021 Custom evaluation.

Table 31: Evaluated 2025 Building Optimization Net Electrical Energy and Peak Demand Savings Final Savings Claimed for Single-year Projects Total Number of Projects 9 9 Electrical Energy Savings Gross Electrical Energy Savings – at the Met...

AI summary Table 31 presents the evaluated 2025 Building Optimization Net Electrical Energy and Peak Demand Savings. It includes metrics such as gross and net energy savings, line loss factors, and effective useful life for the projects evaluated.

Table 33: Comparison of 2025 Custom Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Unit Value Value Value Unit Value Electrical Energy Savings Tracked Savings by E1 16.032 GWh 0.82 13.121 GWh...

AI summary Table 33 compares tracked and evaluated savings for energy and peak demand across various categories in 2025. It includes metrics such as Gross Savings, Net-to-Gross Ratios (NTGR), Net Savings, and Realization Rates for different programs and initiatives.

8 Custom Key Findings and Recommendations The main objectives of the 2025 Custom evaluation were as follows: - › Calculate gross and net results, namely first-year and lifetime electrical energy savings, peak demand savings, as well as avo...

AI summary The 2025 Custom evaluation aimed to calculate energy savings, peak demand reductions, and GHG emissions avoided, while gathering perspectives on New Construction participation. The Evaluator found no recommendations for Custom, focusing on data collection rather than actionable suggestions.

Table 34: Implementation Status of Past Recommendations for SEM # Recommendations Status Comments 2023- SEM-R1 Consider including plant-level key performance indicators (KPIs) and tracking their progression since program component inceptio...

AI summary The table outlines the implementation status of past recommendations for the Strategic Energy Management (SEM) program. Recommendation SEM-R1 is in progress, involving the inclusion of plant-level KPIs in participant reporting. Recommendation SEM-R3 is complete, focusing on communicating the value of energy management, including its decarbonization potential.

10 SEM Evaluation Approach The 2025 SEM evaluation comprised a comprehensive impact evaluation. The main objectives of the SEM evaluation were as follows: › Calculate SEM gross and net results, namely electrical first-year and lifetime ene...

AI summary The 2025 SEM evaluation aims to calculate gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The Evaluator identified key research questions and methods to achieve these objectives, with Table 35 outlining the evaluation objectives, research questions, methods, and sample sizes.

Table 35: 2025 SEM Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Are the gross savings for each project accuratel...

AI summary Table 35 outlines the 2025 SEM Evaluation Approach, which includes calculating gross and net results through tracking sheet audits, project file reviews, site visits, and calculations using evaluation results. The focus is on assessing data accuracy, EUL values, and GHG emission reductions.

11.2 Gross Savings For SEM, gross savings correspond to the change in energy consumption resulting from actions taken by participants regardless of their reasons for participating.[28](#page-110-4) The subsections below provide a descripti...

AI summary The section defines gross savings for Strategic Energy Management (SEM) as energy consumption changes from participant actions. It outlines the methodology for reviewing 18 SEM measures generating savings in 2025, including assessments of interactive effects, Effective Useful Life (EUL) values, and revised electrical savings.

11.2.1 Project Review Findings The Evaluator reviewed the calculation methodologies for the 18 SEM measures based on project documentation and information from interviews with participants (where required) and the Service Provider. All exc...

AI summary The Evaluator reviewed 18 SEM measures' M&V methodologies, finding most approaches thorough and aligned with best practices. Bottom-up and top-down methods were used appropriately depending on context. Adjustments were made to seven measures, with specific attention to compressed air leak quantification using submetering or ultrasonic detectors. Overall, methodologies were deemed reasonable despite practical limitations in testing.

Compressed Air Leak Repair Measures The Evaluator reviewed six compressed air leak measures with one measure receiving a downward adjustment to both the electrical energy and peak demand savings. In this case, the compressor efficiency was...

AI summary The Evaluator assessed six compressed air leak repair measures, adjusting one downward due to mixed data in compressor efficiency calculations. A bin analysis using metered data was identified as a more conservative method for estimating savings.

Equipment Upgrade Measures Six of the measures reviewed by the Evaluator involved equipment upgrades. Of these measures, the Evaluator made downward adjustments to the electrical energy savings claimed for three measures and downward adjus...

AI summary The Evaluator reviewed six equipment upgrade measures, adjusting downward electrical energy savings for three and peak demand savings for two. Adjustments were based on updated efficiency, operating hours, or production data from site visits and interviews, while agreeing with the overall methodology.

Automated Controls Measures There were five measures with claimed electrical energy savings that fell under the automated controls measure category. Of these measures, three received adjustments to electrical energy savings (two upward adj...

AI summary Five automated controls measures with claimed energy savings were evaluated. Three received adjustments to electrical savings (two upward, one downward), and one received an upward peak demand adjustment. The Evaluator agreed with the methodology but made minor corrections, including power formula updates and revised operating hours. One project's peak demand savings were recalculated after initial nil reporting.

11.2.3 Effective Useful Life As part of the 2025 Demand-side Management Measure Assessment (DSM MA)[29](#page-112-3) activities, the Evaluator reviewed the EUL values for all measure categories to ensure they were still valid and revised t...

AI summary The Evaluator reviewed and revised Effective Useful Life (EUL) values for all measure categories in the 2025 DSM MA, resulting in a weighted average EUL of 5.1 years. This ensured EUL values remained valid and aligned with the 2025 DSM MA guidelines.

Table 36: Evaluated 2025 SEM Gross Electrical Energy and Peak Demand Savings New Projects Continuing Projects Total Number of Projects 3 8 11 Electrical Energy Savings Tracked Gross Electrical Energy Savings (GWh) 0.772 3.255 4.027 Adjustm...

AI summary Table 36 presents evaluated 2025 SEM gross electrical energy and peak demand savings, including tracked savings, adjustment ratios, and lifetime savings. The table also references GHG emission reductions calculated using a Nova Scotia-specific factor for electricity production.

11.4 Realization Rate A comparison of the electrical energy and peak demand savings established through this evaluation and those tracked by E1 is presented in [Table](#page-114-3) 38 below. The table also includes the realization rate, re...

AI summary This section discusses the realization rate, which is the ratio of evaluated net savings to tracked net savings for both electrical energy and peak demand savings, as compared between the evaluation and E1 tracking in Table 38.

Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Electrical Energy Savings Tracked Savings by E1 4.228 GWh 1.00 4.228 GWh Evaluation Results 4.031 GWh 1.00 4.031 GWh 95% Peak Demand Savings Tracked Savings...

AI summary The table compares tracked and evaluated savings from the Strategic Energy Management (SEM) program in 2025. It shows gross and net savings for both electrical energy and peak demand, along with realization rates for the evaluated savings.

Table 39: Overall 2025 Custom Incentives Participation and Evaluated Savings Particip ation Level Gross Savings NTGR Net S avings Value Unit Value Unit Value Unit Value Custom Electrical Energy Savings 36.207 GWh 0.84 30.487 GWh Lifetime E...

AI summary Table 39 presents the 2025 participation and evaluated savings for Custom Incentives, including electrical energy savings, peak demand savings, and GHG emission reductions. The program exceeded its targets for net electrical energy and peak demand savings, with Custom being the largest contributor to total program savings.

A. Identifying Key Decision-makers - A1. Did you play a key role in your organization's financial decision to implement the energy efficiency project? - 1. Yes - 2. No - 98. Don't know - 99. Refused - A2. [IF A1=YES OR DK/REFUSE] Please de...

AI summary The text outlines a survey section aimed at identifying key decision-makers in energy efficiency projects. It asks respondents about their role in financial decisions, with follow-up questions for those who answered 'yes' or 'no,' including requesting contact information for alternative decision-makers.

Factor [READ AND RANDOMIZE] Responses a. The program financial incentive for the [Investigation or Feasibility Study]. Response 98 Don't Know Refused b. The program financial incentive for the implementation of the energy efficiency measur...

AI summary The text presents a series of questions related to energy efficiency programs and responses indicating a lack of knowledge or refusal to answer. The topics include program financial incentives, energy savings information, and technical and non-technical support provided by Efficiency Nova Scotia staff and the Onsite Energy Manager (OEM).

E. Spillover - E1. Since taking part in the Custom Retrofit program, have you implemented any additional energy efficiency measures outside of the program? - 1. Yes - 2. No [GO TO SECTION F] - 98. Don't know [GO TO SECTION F] - 99. Refused...

AI summary The 'Spillover' section investigates whether participants in the Custom Retrofit program implemented additional energy efficiency measures outside the program, their financing sources, measure details, influence of the program on their decisions, and reasons for not using Efficiency Nova Scotia programs.

- b. If less than 8, please explain the reason(s) for your score. Aspects of the program [READ AND RANDOMIZE] Score Reason 1. The responsiveness of Efficiency Nova Scotia employees to your requests and enquiries in a timely manner Response...

AI summary The text presents a survey assessing customer satisfaction with Efficiency Nova Scotia's programs. It includes questions about responsiveness, approval speed, program value, and technical expertise, with mostly positive responses. The survey also asks about recommendations and suggestions for improvement, with no specific feedback provided.

APPENDIX III Retrofit and Pay-for-Performance Algorithm for Free-Ridership Calculation Question Answer Score this incentive, what is the likelihood that you would have conducted this study? 98/99) Don't know/Refused EMPTY [IF C5 ≠ 98 OR 99...

AI summary This appendix discusses a Retrofit and Pay-for-Performance Algorithm used to calculate free-ridership in energy efficiency programs. It includes a survey-style table with questions about the likelihood of conducting energy efficiency studies and implementing projects with or without incentives.

Cross-Influence Question Answer Score Cross-Influence 1) Yes, Custom Retrofit Before participating in the Custom Retrofit program for this project, had your 2) Yes, in another Efficiency Nova Scotia program To determine if participants D1...

AI summary The document presents a survey assessing the influence of Efficiency Nova Scotia programs on participants' decisions regarding energy efficiency projects. It includes questions about prior program participation, the impact of promotional materials, and whether participants sought technical advice or evaluated cost-effectiveness.

APPENDIX IV Retrofit and Pay-for-Performance Algorithm for Participant Spillover Calculation Current Algorithm Question Answer Score Since first taking part in the Custom 1) Yes CONTINUE E1 Retrofit program, have you implemented any additi...

AI summary This appendix outlines an algorithm to calculate spillover effects from the Custom Retrofit program, focusing on participant behavior and additional energy efficiency measures implemented outside the program. It includes questions to assess influence and quantify savings.

APPENDIX V Retrofit, Pay-for-Performance and Building Optimization Tracking Sheet Audit This appendix presents the main results of the tracking sheet audit performed by the Evaluator, which was aimed at: - › Verifying that all data fields...

AI summary This appendix outlines the results of a tracking sheet audit conducted by the Evaluator to ensure data accuracy and consistency in EfficiencyOne's submitted information, including corrections made to Retrofit, Building Optimization, and Pay-for-Performance program results.

Table 1. 2025 Retrofit Corrected Tracked Savings Program Component Result Tracked by E1 Corrected Tracked Value Relative Difference Value Unit Value Unit Gross Electrical Energy Savings – at the Generator 16.032 GWh 16.032 GWh 0.00% Gross...

AI summary The tables present corrected tracked savings for various energy efficiency programs in 2025, showing no differences between tracked and corrected tracked values for electrical energy and peak demand savings across multiple programs.

ECONOL ≣I R Efficency Nova Scotia On-Site Visit Protocol - 2025 1. General Info rmation Virtual Visit Date: Project ID: Project Type (Reg Team: essed Air/ Bopt) : Contact Name: Contact Title: Role on the projet: Administer FR/SO? Company N...

AI summary This document outlines a protocol for an on-site visit by Efficiency Nova Scotia in 2025, including sections for general information, facility description, and M&V (Measurement and Verification) plans and documentation. It provides a structured format for collecting and verifying information during the visit.

Operating Schedule Include notes on schedule and seasonal variations. The operating schedule corresponds to the typical one (non-COVID). - 6. Is the M&V period appropriate? (Y/N) - a. Do both the baseline and reporting periods cover all ra...

AI summary The operating schedule includes considerations for the M&V period, asking whether it is appropriate by evaluating if it covers all operation parameters, occurs around the time of EE project implementation, and captures seasonal effects.

Savings calculation approach - Projects with M&V 5. Are the M&V boundaries capturing all the energy consumption that's impacted by the project? (Y/N) 7. Are M&V results measured in a short period extrapolated to annual results appropriatel...

AI summary The document outlines a structured approach for evaluating energy savings calculations using Measurement and Verification (M&V) methods, including questions about M&V boundaries, extrapolation of results, regression validity, and the impact of external factors like COVID-19 on savings calculations. It also includes sections on peak demand savings and interactive effects.

Project Background The participant operates a steel fabrication facility, and the retrofit project consisted of replacing a 100 horsepower (hp) variable speed drive compressor and dryer with two 30 HP compressors and a heatless desiccant d...

AI summary The participant replaced a 100 HP variable speed drive compressor and dryer with two 30 HP compressors and a heatless desiccant dryer, improving compressed air efficiency. Performance data and post-implementation M&V were used to adjust savings calculations.

G. Identifying Key Decision-makers - G1. [SINGLE RESPONSE] Did you play a key role in your organization's decision to build an energy efficient, or better-than-code, building. - 1. Yes - 2. No - 98. I am unsure - G2. [IF [G1=](#page-156-0)...

AI summary This section asks respondents about their involvement in decisions to build energy-efficient or better-than-code buildings, including roles played, collaboration within organizations, and identification of key decision-makers with contact details.

[IF [G1=](#page-156-0)YES OR A3=NO OR A4=NO: GO TO SECTION B] - G5. [IF [G1=](#page-156-0) NO OR DK; OPTIONAL RESPONSE FOR CONTACT INFO] Can you provide the names, roles and contact information of one or two people who played a key role in...

AI summary The text presents a conditional question requesting contact information for individuals involved in an organization's decision to construct buildings exceeding code standards. It includes options for responding and directs to Section B under specific conditions.

y model. Without this incentive, what is the likelihood that you would have hired an energy modeling consultant for your project? INSERT 0-10 SCALE WITH END POINTS: 0=VERY UNLIKELY AND 10=VERY LIKELY - 98. Don't know - 99. I prefer not to...

AI summary The text includes survey questions assessing the impact of incentives on energy efficiency project decisions and the role of energy modeling consultants in evaluating building options.

CAPTURE VERBATIM - 98. I am unsure - 99. I prefer not to say - I10. [SINGLE RESPONSE PER STATEMENT; DO NOT RANDOMIZE] Rate the influence of the following factors in your decision to build a better-than-code building. - a. The program finan...

AI summary The text presents a survey question assessing factors influencing decisions to build energy-efficient buildings, focusing on financial incentives, technical assistance, and non-technical information provided by Efficiency Nova Scotia staff. Respondents rate the importance of these factors on a 0-10 scale.

EAD; FOR CALCULATION ONLY: SCORE = 25%] - 4. Definitely would not have [DO NOT READ; FOR CALCULATION ONLY: SCORE = 0%] - 98. Don't know - 99. Refused - B11. [IF B7 = 2 AND IF AVERAGE (B8,B9,B10) ≥ 75% ] You mentioned that, without the ince...

AI summary The text asks respondents to describe how their building design would differ without incentives from Efficiency Nova Scotia or the energy modeler's expertise, highlighting the role of energy efficiency programs in influencing building design decisions.

APPENDIX X New Construction Energy Model Review Protocol

AI summary Appendix X outlines a protocol for reviewing energy models in new construction, likely part of a regulatory proceeding related to energy efficiency standards or building codes in Nova Scotia.

1 Results General Overview - Check savings (in %) for each end use and identify where the major savings lie. Crosscheck with the energy efficiency measure list to validate if the savings claimed make sense. - Verify GJ/m2 and check benchma...

AI summary The text outlines steps to verify energy efficiency savings by cross-checking end-use savings percentages against measure lists and validating energy intensity via benchmarking data, noting factors like underground parking that may affect GJ/m2 comparisons between buildings.

2 Envelope Review - Check envelope resistance value (wall/fenestration/roof/etc.) and validate with shop drawings and construction details. Make sure that effective R/RSI – U/USI values are used in the simulation. - Pay particular attentio...

AI summary The envelope review process emphasizes verifying insulation values (R/RSI and U/USI) against construction details, addressing curtain wall inefficiencies, ensuring fenestration-to-wall ratios comply with baseline allowances, and confirming code-specification adherence in simulations.

4 Loads and Schedules - Validate occupancy and plug-load values according to NECB. - Validate lighting loads by spot-checking installed lighting power in random rooms vs. electrical plans and shop drawings. - Validate domestic hot water (D...

AI summary The text outlines procedures for validating occupancy, plug-load, lighting, and domestic hot water (DHW) loads in building models, referencing NECB and EfficiencyOne guidelines, and ensuring schedules align with typical building types.

5 HVAC Systems This section can be very complex, depending on the building modelled, so the following should be considered as general guidelines. Please refers to E1 White Paper - Baseline HVAC System in MURBs for MURBS - Validate that all...

AI summary This section outlines general guidelines for validating HVAC systems in multi-unit residential buildings (MURBs), emphasizing alignment with shop drawings, code specifications, operating sequences, energy efficiency measures, airflow matching, and addressing software modeling bugs.

Table 1: Participant Interview Questionnaire and Free-ridership Algorithm Question Answer Score A4 [IF A1=NO, DK or REFUSED] Who were the key decision-makers that played a role in the decision to build a better-than-code building? Can you...

AI summary The table outlines a questionnaire used to gather information on decision-making processes related to building better-than-code buildings, including reasons for such decisions and key decision-makers involved. It also includes questions about incentives and free-ridership algorithms.

APPENDIX XVI SEM Detailed Project Review Adjustments = = Strategic Energy Management Efficiency Nova Scotia What is the baseline and is i t appropriate? Are savings annualized for a standard year? Are IE considered? EUL Tracked Evaluated %...

AI summary This section discusses the detailed project review adjustments for the Strategic Energy Management Efficiency Nova Scotia program, focusing on baseline determination, annualization of savings, consideration of independent variables, and statistical analysis of the regression equation used to evaluate energy savings.

SBES Findings and Recommendations This subsection presents the key findings from the 2025 SBES evaluation. 2025 SBES-Finding: SBES fell short of the net electrical energy savings and net peak demand savings targets by 38% and 46% respectiv...

AI summary The 2025 SBES evaluation found that the program missed its net electrical energy and peak demand savings targets by 38% and 46%, respectively. Participation increased slightly (1%) compared to 2024, with DIY rebates accounting for 99% of all units rebated. Evaluated savings were slightly lower than E1-tracked savings.

Table 3: Comparison of 2025 SBES Tracked and Evaluated Savings at the Generator Gross Savings Net Savings Realization Value Unit NTGR Value Unit Rate Electrical Energy Savings Tracked Savings by E1 9.805 GWh 0.80 7.886 GWh 100% Evaluation...

AI summary Table 3 compares the tracked and evaluated savings from the 2025 SBES (Small Business Energy Solutions) program, showing gross and net savings in electrical energy and peak demand, along with realization rates and net-to-gross ratios (NTGR).

EfficiencyOne (E1), an independent, non-profit organization, is responsible for helping Nova Scotians improve the energy efficiency of their homes and workplaces by designing, marketing, and delivering demand-side management (DSM) for Nova...

AI summary EfficiencyOne (E1) is an independent, non-profit organization that delivers demand-side management (DSM) programs through the Efficiency Nova Scotia (ENS) franchise. E1's 2025 DSM program portfolio includes a Direct Installation program component, Small Business Energy Solutions (SBES), which was evaluated using a condensed impact evaluation method.

1.1 SBES Description SBES offers incentives and resources to Nova Scotia small businesses to encourage them to implement energy efficient upgrades in their facilities. To be eligible, businesses must annually consume less than 600,000 kWh...

AI summary SBES provides energy efficiency incentives and on-bill financing to Nova Scotia small businesses consuming under 600,000 kWh annually. It offers two participation paths: Audit (no-cost energy audit) and DIY (self-identified measures). Rebates depend on technology factors, with a 2025 target of 12.616 GWh energy savings and 2.621 MW peak demand reduction. The CDI Pilot was discontinued in 2025.

Table 5: Implementation Status of Past Recommendations for SBES # Past Recommendations Status Comments 2023- SBES-R1 Consider improvements to the Customer 2 notably by Information System (CIS), reviewing how missing entries are treated and...

AI summary Table 5 outlines the implementation status of past recommendations for SBES, specifically Recommendation 2023-SBES-R1, which focuses on improving the Customer Information System (CIS) by addressing missing entries and extracting more information. The recommendation was deferred, with the Evaluator suggesting further action be taken during the next comprehensive evaluation.

2 SBES Evaluation Approach The 2025 SBES evaluation consisted of a condensed impact evaluation that also covered the CDI Pilot. The main objectives of the 2025 SBES evaluation were as follows: › Calculate gross and net SBES results, namely...

AI summary The 2025 SBES evaluation aimed to calculate gross and net energy savings, peak demand savings, and avoided GHG emissions. The evaluation included a condensed impact assessment covering the CDI Pilot and outlined key research questions, methods, and sample sizes.

3.2 Gross Savings Gross savings correspond to the change in energy consumption resulting from actions taken by participants compared to the consumption level had those actions not occurred. [6](#page-11-1) For each SBES Audit or DIY projec...

AI summary Gross savings are calculated as the difference in energy consumption from participant actions versus a baseline. E1 computes these savings in CIS using equations or custom calculations by energy auditors and E1 SBES staff for SBES Audits and DIY projects.

3.2.3 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling. For the SBES Audit and DIY paths, these are ta...

AI summary Interactive effects in energy efficiency measures impact heating/cooling systems. The E1 CIRx Screening Tool and 2025 DSM MA calculate savings, adjusting factors for recessed fixtures (LED linear) by 57%. Evaluations ensure accurate interactive effects factors are applied, with adjustments included in 2023/2025 adjustment ratios.

Table 7: 2025 SBES Equivalent EUL for Updated Measures Product Tracked Equivalent EUL [years] Evaluated Equivalent EUL [years] Indoor - Four-pin Base Replacement Lamps for Compact Fluorescent Lamps (CFLs) 11.9 1.9 Indoor - High-bay Luminai...

AI summary Table 7 presents the 2025 SBES Equivalent Useful Life (EUL) for various lighting products, comparing tracked and evaluated EUL values. The table highlights significant differences between the two metrics across different product categories, with some products showing a large discrepancy, such as the Indoor - Four-pin Base Replacement Lamps for Compact Fluorescent Lamps (CFLs), which have a tracked EUL of 11.9 years and an evaluated EUL of 1.9 years.

Table 9: Evaluated 2025 SBES Gross Electrical Energy and Peak Demand Savings – DIY Path Category of Measure Agriculture Commercial Kitchen HVAC Laundry Lighting Motor Refrigeration Envelope Total for all Categories Energy Savings Gross Ele...

AI summary Table 9 and Table 10 evaluate the 2025 SBES gross electrical energy and peak demand savings for the DIY path and both paths combined. The tables include metrics such as energy savings, adjustment ratios, line loss factors, and effective useful life. Evaluated gross savings differ slightly from tracked values due to corrections in interactive effects factors.

Figure 6: 2025 SBES Tracked and Evaluated Gross Electrical Energy Savings at the Generator 0.043 1.699 0.043 1.717 0.000 0.250 0.500 0.750 1.000 1.250 1.500 1.750 2.000 Audit DIY Evaluated Gross Peak Demand Savings (MW) Tracked Gross Peak...

AI summary The text presents figures and tables related to energy savings and GHG emission reductions from the 2025 SBES program. It discusses gross electrical energy savings and peak demand savings, as well as the calculation of GHG emission reductions using a Nova Scotia-specific factor.

Table 11: Evaluated 2025 SBES GHG Gross Emission Reductions Total Gross Electrical Energy Savings – at the Generator (GWh) 9.774 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 469.3 Gross Annual...

AI summary Table 11 presents the evaluated 2025 SBES GHG gross emission reductions, showing 9.774 GWh of gross electrical energy savings and 4,587 tonnes of CO2 eq annual GHG emission reductions.

3.3.1 Free-ridership For SBES, free-ridership occurs when participants would have implemented energy efficiency upgrades in the absence of the program component. The free-ridership levels for DIY and Audit projects were assessed during the...

AI summary The document discusses free-ridership in the context of the Small Business Energy Solutions (SBES) program, noting that free-ridership levels for DIY and Audit projects were assessed in 2023 using a self-report approach. These levels were carried forward for the 2025 evaluation due to the lack of updated data in 2025. Nova Scotia-specific factors were derived from Nova Scotia Power's 2024 emissions and electricity generation data.

Net savings are defined as the energy use reductions that are specifically attributable to SBES. Program component net impacts were estimated by applying the above NTGRs to the revised gross savings by using the following equation. Net Sav...

AI summary Net savings are calculated using NTGRs applied to revised gross savings, resulting in 3,689 tonnes of CO2 eq in annual GHG emission reductions from SBES program component net impacts.

This appendix presents the main results of the Small Business Energy Solutions (SBES) tracking sheet audit performed by the Evaluator, which was aimed at: - › Verifying that all data fields required for the evaluation were included and pro...

AI summary This appendix outlines the results of an audit of the Small Business Energy Solutions (SBES) tracking sheet conducted by the Evaluator. The audit aimed to verify data completeness, accuracy of tracked results, and consistency of calculation methods used by EfficiencyOne (E1). Table 1 shows corrected tracked savings after adjustments.

Table 1: 2025 SBES Corrected Tracked Savings Value Tracked by E1 Corrected Tracked Value Relative Difference Program Component Results Value Unit Value Unit Value SBES – Audit & DIY Gross Electrical Energy Savings – at the Generator 9.779...

AI summary Table 1 presents the 2025 SBES corrected tracked savings, showing minimal differences between the values tracked by E1 and the corrected values. Variations are attributed to rounding differences in calculations using the same net-to-gross ratios and line loss factors.

Table 12: Smart Thermostat Incentive Structures and Levels per Jurisdiction Program Administrator a Enrollment Incentive Participation Incentive Other Efficiency Nova Scotia $25 for the 1st device, $20/each additional oneb $30/household/ye...

AI summary Table 12 compares smart thermostat incentive structures and levels across various jurisdictions, highlighting differences in enrollment, participation, and other incentives offered by program administrators such as Efficiency Nova Scotia, BC Hydro, and others.

Table 13: EV and EV Charger Incentive Structures and Levels per Jurisdiction Program Administratora Enrollment Incentive Participation Incentive Other Efficiency Nova Scotia $50/household $50/device/year - BC Hydro $250/household $50/house...

AI summary Table 13 outlines various EV and EV charger incentive structures and levels across different jurisdictions, including enrollment and participation incentives, as well as other program features. The table includes data from Efficiency Nova Scotia, BC Hydro, DTE Energy, Hydro-Québec, Puget Sound Energy, and Rhode Island Energy.

Hot Water Controllers [Table](#page-71-1) 15 below indicates the structures and levels offered by the scanned jurisdictions for HWCs.

AI summary The document references Table 15, which outlines the structures and levels of Hot Water Controllers (HWCs) offered by scanned jurisdictions. The table serves as a comparative analysis of HWC implementations across different regions.

Future Opportunities According to one Canadian program manager, smart thermostats, being inexpensive and having energy efficiency benefits, is a promising category to develop in the next couple of years. To do so, they plan to work closely...

AI summary The document highlights opportunities to expand demand response (DR) programs through smart thermostats, emphasizing partnerships with manufacturers to streamline enrollment and address decision fatigue. Strategies include shifting from instant rebates to enrollment incentives and maximizing device installations during home visits by installers.

4.2.3 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency products has an impact on the energy consumption of other elements such as heating and cooling. For the Smart Thermostat DLC pathwa...

AI summary Interactive effects in energy efficiency programs occur when changes in one system (e.g., smart thermostats) impact others (e.g., heating). The Evaluator prioritized whole-house AMI data for smart thermostats to capture these effects but used device-level data for DHW, EV chargers, and battery controls, assuming negligible interactions due to system design and location.

Table 24: Evaluated 2025 Residential DR Available DR Capacities Smart Thermostats per Space Heating Type DHW EV Telematics Battery EBB Only MSHP Only MSHP and EBB Only Others Subtotal Controllers and Chargers Controls Total Number of Enrol...

AI summary Table 24 evaluates the available demand response (DR) capacities for residential customers in 2025, including enrolled devices, battery capacity, participation rates, and available DR capacity at the meter and generator levels. The data includes various heating types, DHW, EV telematics, and battery controls.

Welcome! Thank you for taking part in this survey conducted by Narrative Research, a Halifax-based survey research company. We are performing an evaluation of energy efficiency services and programs provided by Efficiency Nova Scotia. As a...

AI summary A survey by Narrative Research evaluates Efficiency Nova Scotia's energy efficiency programs, including the Free Product Installation program offering smart thermostats and other energy-efficient products, with a $15 gift card incentive for participation.

[THANK AND TERMINATE AFTER B4 FOR ALL ANSWERS] - B5. [ASK IF B1=1 OR B2a=1] How did you learn about Efficiency Nova Scotia's Eco Shift Program? Please select all that apply. [MULTIPLE RESPONSE. RANDOMIZE 1-10.] - 1. From the installer who...

AI summary The text includes survey questions about customer awareness and enrollment in Efficiency Nova Scotia's Eco Shift Program, covering channels like installers, marketing emails, and the website. It also asks about enrollment status and methods, highlighting technical challenges and non-enrollment reasons.

C. Perceived Potential Benefits - C1. What do you see as the potential benefits of taking part in the program? Select all that apply. [MULTIPLE RESPONSE. RANDOMIZED 1-6] - 1. Receiving financial incentives for enrolling in the Eco Shift Pr...

AI summary The section outlines perceived benefits of the Eco Shift Program, including financial incentives, reduced peak demand, sustainability support, and grid reliability. It also asks for additional information needed to reconsider enrollment.

Form of the Regression Following the 2024 methodology used in a literature review conducted to identify the most appropriate baseline methodology for such evaluations, the Evaluator used regression models that considers the time of week an...

AI summary The Evaluator used regression models incorporating time of week and outdoor temperature to establish baselines for residential electricity consumption. This approach accounts for temperature impacts and household variability, leveraging large datasets with comparable cold-temperature data. Regression models are preferred over previous-day baselines due to their common use in similar programs and ability to handle temperature extremes.

Regression Coefficients for EBB-only Participants Mondays Tuesdays Wednesdays Thursdays Fridays 20 1.061 0.085 0.971 0.089 1.078 0.084 0.875 0.098 0.884 0.088 21 0.905 0.087 0.821 0.092 0.921 0.085 0.741 0.100 0.715 0.093 22 0.746 0.083 0....

AI summary The document presents regression coefficients for EBB-only participants, analyzing baseload and HDD coefficients across different days of the week and hours of the week. The data is structured in tables, showing varying values for each day and time period.

DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Displaced wattage The displaced wattage is defined as the difference between the wattage values of the baseline equipment or product and the efficient equipment...

AI summary The text defines key terms related to energy efficiency and measurement accuracy. It outlines concepts such as displaced wattage, EnerGuide ratings, effective useful life, and equipment life, providing context for their application in assessing energy performance and efficiency.

Table 1: Residential Measure Assessment Change Log Change Type Section Description Date Update 2.2.3(7) Pipe Insulation Update EUL value 2023-03-09 New Measure 2.3.3(10) Smart Thermostats for Electrical Heating Systems Renamed from the sma...

AI summary This table outlines changes made to residential energy efficiency measures, including updates to existing measures like pipe insulation and LED lamps, as well as the addition of new measures such as smart thermostats for heat pumps and solar fixtures. The changes reflect updates to energy efficiency assumptions and include new technologies in the Instant Savings program.

Electrical Energy Savings The following equation is used to calculate electrical energy savings. (ℎ) - = (ℎ) × (1 - + (%)) - × " " "- " (%)

AI summary The document presents an equation for calculating electrical energy savings, involving variables denoted as ℎ and percentage factors. The formula structure includes multiplication and division operations with percentage adjustments, though the full mathematical context is not elaborated.

Lifetime Energy Savings Lifetime energy savings correspond to the savings that occur over the lifetime of the measures installed. The following equation is used to calculate lifetime energy savings. (ℎ) = (ℎ) × ()

AI summary Lifetime energy savings refer to energy savings calculated over the lifetime of installed measures using a specific equation. The equation's details are referenced in an image, though the formula is not explicitly provided in the text.

1 Residential Measure Assessment Scope [Table](#page-187-2) 2 below lists the residential measures and associated programs included in the 2025 DSM MA. The DSM MA includes all necessary parameters and calculations to obtain gross energy an...

AI summary The 2025 DSM MA includes residential measures and associated programs, detailing parameters for calculating gross energy and peak demand savings. Prescriptive measures use fixed assumptions, while custom measures use unit-specific inputs. Semi-prescriptive measures combine both approaches.

Table 2: Included Residential Measures Measure Program Component Lighting LED Lamps EPI ENERGY STAR Certified LED Fixtures with Motion Sensors Instant Savings Dimmer Switches EPI, Instant Savings Motion Sensors EPI, Instant Savings LED Nig...

AI summary Table 2 lists residential energy efficiency measures and their associated program components, including lighting, water heating, space heating, appliances, plug load controls, and demand reduction. Each measure is linked to specific programs such as EPI, Instant Savings, Green Heat, and HEA.

2.1.1 Interactive Effects In a home, the implementation of energy efficient lighting products interacts with the energy consumption of other elements such as heating and cooling. The interactive effects factors for residential lighting pro...

AI summary The document discusses interactive effects of energy-efficient lighting products in homes, considering factors like heating and cooling systems. It references a 1992 study by ADS Groupe-Conseil Inc. for Hydro-Québec, which was applied to EfficiencyOne (E1) lighting measures in Nova Scotia after climate data analysis in 2015 showed comparability with Quebec.

Table 3: Interactive Effects Factors for Residential Lighting Products Installed Indoors Type of Home % of Homes1 Energy Interactive Effects Factor2 Peak Demand Interactive Effects Factor3 Heat Pump Heating and Air Conditioning 38% -58% /...

AI summary Table 3 presents interactive effects factors for residential lighting products installed indoors, showing how different home types affect energy and peak demand. The weighted average indicates a -17.7% energy interactive effects factor and -46.8% peak demand interactive effects factor.

Interactive Effects on Electrical Heating The Hydro-Québec study found that efficient lighting installed in electrically heated single-family homes without air conditioning results in an interactive effects factor for heating of -58%.

AI summary A Hydro-Québec study found that installing efficient lighting in electrically heated single-family homes without air conditioning creates a -58% interactive effects factor for heating, indicating reduced heating demand due to energy efficiency measures.

Interactive Effects on Heat Pump Heating Since the interactive effects factors for electrical heating are based on a heating system efficiency of 100%, some adjustments are necessary for homes that use a heat pump as a primary heating syst...

AI summary The interactive effects factor for heat pump heating adjusts for efficiencies exceeding 100% by dividing the -58.0% factor by the COP (1.8) of a standard mini-split heat pump, resulting in a -32.2% factor. This adjustment reflects the superior efficiency of heat pumps compared to conventional electrical heating systems.

Interactive Effects on Air Conditioning The Hydro-Québec study found that efficient lighting installed in homes with air-conditioning units results in an interactive effects factor for cooling of 3.6%. By analyzing the Hydro-Québec study,...

AI summary The Hydro-Québec study found that efficient lighting in homes with air conditioning creates a 3.6% interactive cooling effect. The Evaluator adjusted this to 3.1% by updating COP values (from 2.5 to 2.9) to reflect improved air conditioner efficiency since the study, using a formula linking cooling energy savings to conditioned home area percentages.

Interactive Effects on Heat Pump Cooling As for cases where cooling is provided by a heat pump, the Evaluator adjusted the cooling interactive effects by dividing the 22% value by the efficiency ratio of mini-split heat pumps and AC units...

AI summary The Evaluator adjusted cooling interactive effects for heat pumps by dividing a 22% value by the efficiency ratio of mini-split heat pumps and AC units (COP 3.5/2.5) and multiplying by the conditioned home area ratio (100%/40%), resulting in a 6.4% interactive effects factor for cooling.

Peak Demand The Hydro-Québec report assumes that 10% of the heat is released through exterior walls and ceilings and does not contribute to interactive effects. Since the peak demand period occurs during the heating period when lighting an...

AI summary The Hydro-Québec report assumes 10% heat loss through exterior walls/ceilings, leading to a -90% interactive effects factor for peak demand savings in electrically heated homes and heat pumps, based on 100% efficiency during peak periods.

Table 5: Overall Interactive Effects Factors for Residential Lighting Measures Interactive Effects Factors Measure Type of Home Energy Savings Peak Demand Savings EPI LED A-type Lamps9 Heat Pump Heating and Air Conditioning -25.8% x 97% =...

AI summary Table 5 presents interactive effects factors for residential lighting measures, showing energy and peak demand savings across different home types and lighting technologies, such as LED lamps, motion sensors, and dimmer switches. The table includes calculations for various scenarios, such as heat pump heating, electrical heating, and no electrical heating.

Table 7: LED Lamp Measure Summary Parameter EPI Reference Measure Description and Identification Measure LED lamps (A-type, Reflector, and Decorative) with direct installation - Baseline Existing incandescent or halogen lamps being replace...

AI summary Table 7 provides a summary of the LED lamp measure, including parameters such as installation rate, effective useful life, and energy savings. The table highlights variations in energy savings based on replaced and installed wattages and lamp types, with references to additional details in subsections and tables.

The equation below determines the unitary savings values of LED lamps for each pairing of old and new wattages. Table 8 lists the parameters and corresponding values used in the equation and the resulting unitary savings values. $$Energy \...

AI summary This text provides an equation for calculating annual energy savings from replacing old LED lamps with new ones, using parameters such as old and new wattages and hours of use per day.

Table 8: Electrical Unitary Energy Savings Values for LED Lamps Type of LED Old Wattage (W) New Wattage (W) Displaced Wattage (W) Operating Hours (hrs/day) Unitary Savings Value (kWh/year) EPI 9 W Replacing 25 W 25 9 16 2.6 15.2 9 W Replac...

AI summary Table 8 provides electrical unitary energy savings values for LED lamps, detailing the displaced wattage and annual savings for various replacements. The table compares old and new wattages for different LED types and calculates unitary savings based on operating hours.

Hours of Operation The daily hours of operation value is based on the 2020 Residential Lighting Hours-of-Use Quick Hit Study (RLHOU)[14](#page-196-0) in which the data collected through the 2014 Northeast Residential Lighting Hours-of-Use...

AI summary The text analyzes residential lighting hours-of-use data from the RLHOU and NERHOU studies, noting efficient bulbs are used 0.1–0.2 hours longer daily due to factors like differential socket selection and snapback effects. For EPI, HOUs are set at 2.6 hours/day to avoid overestimating savings, while E1 uses NERHOU data. Studies found no HOU differences between single-family homes and apartments.

Unitary Peak Demand Savings Unitary peak demand savings are calculated by multiplying the unitary savings value by the peak demandto-energy ratio. 16 The snapback effect is an increase in usage following the installation of an efficient pr...

AI summary Unitary peak demand savings are calculated using a unitary savings value and the peak demand-to-energy ratio. The text also references studies on residential lighting hours-of-use and mentions a snapback effect, where usage increases after installing efficient products due to lower operating costs.

Table 9: Electrical Unitary Peak Demand Savings Values for LED Lamps Type of LED Unitary Energy Savings Value (kWh/year) Peak Demand-to energy Ratio (W/kWh) Unitary Peak Demand Savings Value (W/year) EPI 9 W Replacing 25 W 15.2 0.162 2.46...

AI summary Table 9 presents electrical unitary peak demand savings values for various LED lamps, showing energy savings and peak demand reductions for different wattage replacements. The table includes data for multiple LED types and their corresponding savings values. Installation rates for EPI LED lamps are discussed in Table 10.

Table 10: EPI LED Lamp Installation Rate Installation Rate Margin of Error Reference 94% 3.0% 2024 EPI evaluation (on-site visits) For upstream programs like Instant Savings, the UMP makes the following recommendation:

AI summary Table 10 presents the EPI LED lamp installation rate at 94% with a 3.0% margin of error, referencing a 2024 EPI evaluation. The UMP recommends actions for upstream programs like Instant Savings.

(2) ENERGY STAR Certified LED Fixtures with Motion Sensors

AI summary The document references ENERGY STAR Certified LED Fixtures with Motion Sensors as a program component, likely under demand-side management initiatives aimed at promoting energy efficiency in lighting technologies.

Summary Table 11 presents a summary of the values used to calculate the savings for motion sensors. The detailed methodology follows.

AI summary Table 11 summarizes the values used to calculate savings for motion sensors, with a detailed methodology provided in the following text.

Table 11: LED Fixture with Motion Sensor Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure LED fixtures with motion sensors rebated in store - Baseline Standard-compliant new fixtures Genera...

AI summary Table 11 outlines the energy savings parameters for LED fixtures with motion sensors under the Instant Savings program, including unitary energy savings, peak demand savings, and interactive effects factors. The table provides details on installation rates, useful life, and calculations related to energy and demand savings.

The equation below determines the unitary savings values of LED fixtures. Table 12 lists the parameters and corresponding values used in the equation and the resulting unitary savings values. $$Energy Savings \left[\frac{kWh}{yr}\right] \\...

AI summary The text presents an equation to calculate the annual energy savings of LED fixtures based on wattage and hours of use (HOU) for old and new lighting systems. Table 12 provides the parameters and resulting unitary savings values used in the calculation.

Table 12: Electrical Unitary Savings Values for LED Fixtures with Motion Sensors Average Wattage (W) Average Equivalent Wattage (W) Old Operating Hours (hrs/day) Unitary Savings Value (kWh/year) 22.4 22.4 - 4.69 2.90 14.6 Due to a change t...

AI summary Table 12 provides electrical unitary savings values for LED fixtures with motion sensors. Due to a change in the LED baseline assumption, savings are no longer claimed for scenarios involving a switch to an efficient bulb, and displaced wattage is assumed to be nil.

Summary Table 13 presents a summary of the values used to calculate dimmer switch savings. The detailed methodology follows.

AI summary Table 13 presents a summary of the values used to calculate dimmer switch savings. The detailed methodology follows.

Table 13: Dimmer Switch Measure Summary Damanatan In a facult Occidence EDI Deference Parameter Instant Savings EPI Reference Measure Description and lo dentification Measure Indoor dimmer switches r Savings) or with direct ins - Baseline...

AI summary Table 13 provides a summary of the dimmer switch measure, including parameters such as installation rate, energy savings, and interactive effects factors. It references studies and calculations for energy and peak demand savings, with data from the Ontario Power Authority.

Electrical Unitary Energy Savings The unitary savings value for dimmer switches is based on the general lighting equation adapted as follows to consider the effect of dimming on energy consumption. $$Energy \, Savings \, \left[\frac{kWh}{y...

AI summary The document discusses the calculation of energy savings for dimmer switches using a modified lighting equation that incorporates average wattage, percentage dimmed, and hours of use per day. The formula is used to determine annual energy savings in kilowatt-hours.

Table 14: Electrical Unitary Savings Values for Dimmer Switches Parameter EPI, Instant Savings Reference Average Wattage [W] 2 x 9 W = 18.0 W Assumed two controlled LED lamps per motion sensor Dimmed Wattage [%] 20% 2011 OPA Prescriptive M...

AI summary Table 14 presents electrical unitary savings values for dimmer switches, including parameters such as average wattage, dimmed wattage, daily hours of operation, and unitary energy savings. The values are based on assumptions and references to studies and lists.

Table 15: Motion Sensor Measure Summary Parameter Instant Savings EPI Reference Indoor Motion Sensor Outdoor Motion Sensor Indoor Motion Sensor Outdoor Motion Sensor Measure Description and Identificatio n Measure loor motion senson direct...

AI summary Table 15 provides a summary of motion sensor measures, including parameters such as installation rates, energy savings, and interactive effects factors for both indoor and outdoor sensors. The data includes savings values, useful life, and references to specific subsections for detailed calculations.

Indoor Motion Sensors The unitary savings value for indoor motion sensors is based on the general lighting equation adapted as follows to consider the effect of motion sensing on energy consumption. $$Energy \ Savings \ \left[\frac{kWh}{yr...

AI summary The unitary savings value for indoor motion sensors is calculated using an adapted general lighting equation that considers the effect of motion sensing on energy consumption. The formula and parameters are summarized in Table 16.

Table 16: Electrical Unitary Savings Values for Indoor Motion Sensors Parameter EPI, Instant Savings Reference Average Wattage [W] 2 x 9 W = 18.0 W Assumed two controlled LED lamps per motion sensor Daily Hours of Operation [h/day] 2.6 RLH...

AI summary Table 16 presents the electrical unitary savings values for indoor motion sensors, including parameters such as average wattage, daily hours of operation, and unitary energy savings. The data is based on assumptions and references from studies and lists related to energy efficiency measures.

The unitary savings value for indoor motion sensors is based on the general lighting equation adapted as follows to consider the effects of motion sensing and dimming on energy consumption. The annual energy savings corresponds to the diff...

AI summary The text explains the calculation of energy savings from indoor motion sensors and dimmer switches, using a formula that compares base and reduced consumption. The calculation involves parameters like average wattage, hours of use, and dimming percentage. References to studies and reports are provided for further context.

Table 17: Unitary Savings Values for Indoor Motion Sensors with Dimmer Switch Parameter Value Reference Average Wattage [W] 2 x 9 W = 18.0 W Assumed two controlled LED lamps per motion sensor Dimmed Wattage [%] 20% 2011 OPA Prescriptive Me...

AI summary Table 17 presents unitary savings values for indoor motion sensors with dimmer switches, including parameters such as average wattage, dimmed wattage, daily hours of operation, and annual energy savings. The data is based on assumptions and references from various studies and lists.

The unitary savings value for outdoor motion sensors is based on the general lighting equation adapted as follows to consider the effect of motion sensing on energy consumption. $$Energy \, Savings \, \left[\frac{kWh}{yr}\right] = \frac{(A...

AI summary The unitary savings value for outdoor motion sensors is calculated using an adapted general lighting equation that considers the effect of motion sensing on energy consumption. The equation uses parameters such as average wattage, old and new hours of use per day, and calculates annual energy savings in kilowatt-hours.

Table 18: Unitary Savings Values for Outdoor Motion Sensors Parameter EPI, Instant Savings Reference Average Wattage [W] 2 x 15 W = 30.0 W Assumed two controlled outdoor LED lamps per motion sensor Old Operating Time [hrs/day] 4.75 2011 OP...

AI summary Table 18 presents unitary savings values for outdoor motion sensors, including parameters such as average wattage, old and new operating times, and annual energy savings. The data is based on assumptions and references from the 2011 OPA Prescriptive Measures and Assumptions List.

Table 19: LED Nightlight Measure Summary Parameter EPI Reference Measure Description and Identification Measure LED nightlights with direct installation - Baseline Existing nightlight being replaced, which must be incandescent General Para...

AI summary Table 19 outlines the LED nightlight measure summary, including parameters such as installation rate, energy savings, and peak demand savings. The table provides details on the measure description, baseline, and various energy-saving calculations.

Table 20 lists the parameters and corresponding values used in the equation below for LED nightlights and the resulting unitary values. The values for displaced wattages and hours of operation are consistent with the values used by other j...

AI summary Table 20 presents parameters and values used in an energy savings equation for LED nightlights, with displaced wattages and hours of operation aligned with those used in Pennsylvania. The equation calculates annual energy savings in kWh based on old and new wattages and hours of use per day.

Table 20: Electrical Unitary Savings Values for LED Nightlights Parameter Value Reference Old Wattage [W] 7.0 Assumption based on the typical wattage value of an incandescent nightlight New Wattage [W] 0.3 Wattage value of the LED nightlig...

AI summary Table 20 provides electrical unitary savings values for LED nightlights, including old and new wattage, average displaced wattage, hours of operation, and annual energy savings. It references assumptions and calculations used to determine these values.

Table 21: EPI LED Nightlight Installation Rate Installation Rate Margin of Error Reference 94% 3.0% 2024 EPI evaluation (on-site visits) (6) Solar Fixtures

AI summary Table 21 presents the EPI LED Nightlight Installation Rate at 94% with a margin of error of 3.0%, based on the 2024 EPI evaluation. The section also mentions Solar Fixtures, indicating a potential topic related to energy efficiency or lighting.

Table 22: Solar Fixture Measure Summary Parameter Instant Savings EPI Reference Measure Description and Identification Measure LED solar fixtures rebar Savings) or with direct i - Baseline LED fixtures connected to the grid Non-LED fixture...

AI summary Table 22 presents a comparison between the Instant Savings and EPI programs for LED solar fixtures, including parameters such as installation rates, useful life, energy savings, and peak demand savings. The table highlights differences in performance metrics and references specific subsections for detailed calculations.

Since solar fixtures consume no electricity from the grid, all the electrical energy consumed by the baseline fixture is saved. The only solar fixtures offered are outdoor security fixtures with or without motion sensors. The same unitary...

AI summary The text discusses the calculation of energy savings for solar fixtures, noting that they consume no grid electricity. It explains the formula used to determine unitary savings values, which are based on baseline wattage and hours of use. Only outdoor security fixtures with or without motion sensors are considered, and the same unitary savings value is applied to both.

Hot Water Insulation Measures For hot water insulation measures, namely pipe insulation and hot water tank wraps, the interactive effects factors are based on engineering calculations to account for the duration of the heating and cooling...

AI summary The text outlines methodology for calculating interactive effects of hot water insulation measures (pipe insulation and tank wraps), considering heating/cooling seasons, system efficiency, and heat generation within buildings. It notes differences in installation likelihood between single-family homes and apartments due to conditioned space assumptions.

Single-family Homes Based on site visit results from the 2015 evaluation[32](#page-9-0) and accounting for the proportion of DHW insulation measures installed in conditioned spaces, the average number of months during which heating interac...

AI summary The text analyzes heating interactive effects in single-family homes, noting an average of 3.8 months of impact. It assumes DHW insulation measures in non-air-conditioned spaces have negligible cooling effects and accounts for 10% heat loss. Adjustments for heat pump efficiency (COP of 1.8) are applied to interactive effects factors based on Federal Energy Efficiency Regulations.

Apartments Based on the assumption that DHW insulation measures are installed in conditioned spaces, a heating period of eight months was used as the average number of months during which heating interactive effects occur in an apartment....

AI summary The analysis assumes DHW insulation in apartments is installed in conditioned spaces, using an 8-month heating period and 2-month cooling period. COP values of 3.5 (heat pumps) and 2.9 (air conditioning) were applied to adjust interactive effects, aligning with Subsection 2.1.1 assumptions.

Peak Demand As for the impact on peak demand savings, it is assumed that all the DHW tanks in a conditioned or semi-conditioned space create interactive effects. Therefore, similar to lighting products, the interactive effects factor for p...

AI summary The document discusses the impact of domestic hot water (DHW) tank insulation on peak demand savings, assuming interactive effects of -90% for electrically heated homes. It references regulatory documents and evaluation reports related to energy efficiency programs.

Table 25: Interactive Effects Factors for Pipe Insulation and Hot Water Tank Wraps Parameter Energy Interactive Effects During Heating Period Energy Interactive Effects During Cooling Period Total Energy Interactive Effects Peak Demand Int...

AI summary Table 25 presents interactive effects factors for pipe insulation and hot water tank wraps in various residential and apartment settings, showing significant energy and peak demand impacts during heating and cooling periods. The table includes calculations for different heating and cooling scenarios, such as heat pump heating, electrical heating with and without air conditioning, and no electrical heating.

Table 26: Interactive Effects Factors for Water Heating Measures Measure Type of Home Interactive Effects Factors for Energy Savings Interactive Effects Factors for Peak Demand Savings Reference Drain Water Heat Recovery N/A 0% 0% Assumpti...

AI summary Table 26 outlines interactive effects factors for various water heating measures on energy and peak demand savings. It shows how different measures, such as pipe insulation and heat pump water heaters, affect energy savings and peak demand in various types of homes and heating systems.

Table 27: Peak Demand-to-energy Ratios for Water Heating Measures Measure Peak Demand-to energy Ratio (W/kWh) Reference Drain Water Heat Recovery 0.162 RES-Water Heat, Navigant 2016-2018 DSM Plan Heat Pump Water Heater Low-flow Showerhead...

AI summary Table 27 presents peak demand-to-energy ratios for various water heating measures, including drain water heat recovery and solar domestic hot water. The table indicates that solar domestic hot water systems provide no peak demand savings during the peak demand period as the sun has set.

Table 28: Drain Water Heat Recovery Measure Summary Parameter MHEEP Reference Measure Description and Identification Measure Drain water heat recovery for electric DHW heating with direct installation - Baseline Shower drains without drain...

AI summary Table 28 summarizes the Drain Water Heat Recovery Measure, including parameters such as installation rate, effective useful life, energy savings, and peak demand savings. The measure involves direct installation for electric domestic hot water heating and assumes a 100% installation rate with a 20-year useful life.

Table 29: Electrical Unitary Energy Savings Values for Drain Water Heat Recovery Systems Parameter MHEEP Reference Inputs to the HOT2000 Simulation Number of Showers per Person per Day [shower] 0.67 Mayer, Oreo et al.34 Average Shower Dura...

AI summary This table presents the electrical unitary energy savings values for drain water heat recovery systems, including parameters such as the number of showers per person per day, average shower duration, and energy savings per occupant. The data is derived from various studies and simulations.

Table 30: Solar Domestic Hot Water Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Solar domestic hot water heating rebated after purchase - Baseline Existing conventional electric water heater...

AI summary Table 30 summarizes the Solar Domestic Hot Water Measure, including its description, baseline, and energy savings parameters. The measure involves rebating solar domestic hot water heating systems after purchase, with a 20-year effective useful life and no electrical savings due to a peak demand-to-energy ratio of 0.

(3) Heat Pump Water Heaters

AI summary The section focuses on Heat Pump Water Heaters (HPWH), discussing their role in energy efficiency and regulatory considerations within Nova Scotia's context. Key themes include technological adoption, program implementation, and policy implications for residential and commercial applications.

Summary [Table](#page-15-1) 31 below presents a summary of the values used to calculate heat pump water heater (HPWH) savings. Savings are included for a market transformation HPWH program, in addition to other resource acquisition program...

AI summary Table 31 summarizes the values used to calculate heat pump water heater (HPWH) savings, including savings from a market transformation HPWH program and other resource acquisition program components. The detailed methodology is outlined in the text.

Table 31: Heat Pump Water Heater Measure Summary Parameter HEA HPWH Instant Savings, Reference Measure Description and Identification Measure - Baseline Electric resistance water heating Application Value for non-electric space heating Val...

AI summary Table 31 provides a summary of the Heat Pump Water Heater (HPWH) measure, including parameters such as installation rates, energy savings, and peak demand savings. It also references other sections of the document for detailed calculations and additional information.

The unitary savings for HPWHs are taken from a metering study conducted for NEEA. [38](#page-16-0) They include interactive effects. Instant Savings Average Unitary Energy Savings is a weighted average based on the share of space heating s...

AI summary The unitary savings for heat pump water heaters (HPWHs) are derived from a metering study conducted for NEEA, which includes interactive effects. Instant Savings Average Unitary Energy Savings is calculated as a weighted average based on the share of space heating systems in Nova Scotia, focusing on electric energy savings.

Table 32: Electrical Unitary Savings Values for Heat Pump Water Heaters HEA Instant Savings, HPWH Parameter Symbol Non- electric Space Heating Electric Resistance Space Heating Heat Pump Space Heating Non- electric Space Heating Electric R...

AI summary Table 32 presents electrical unitary savings values for heat pump water heaters in Nova Scotia, including savings estimates, the share of electric water heaters, and average unitary energy savings. It also includes references to studies and data sources.

Table 33: Low-flow Showerhead Measure Summary Parameter EP Reference Measure Description and Identification Measure Low-flow showerheads s for electric D HW heating v vith direct insta allation - Baseline 5 Standard show erhead with a flow...

AI summary Table 33 provides a summary of low-flow showerhead measures, including baseline standards, installation rates, effective useful life, and energy savings parameters such as unitary energy savings and peak demand savings. The table details various flow rate reductions and their corresponding energy efficiency impacts.

The equations below are used to determine the annual unitary savings values for low-flow showerheads. The reduction in domestic hot water consumption is established by the difference between the base and efficient domestic hot water consum...

AI summary The text provides equations to calculate annual energy savings from low-flow showerheads by reducing domestic hot water consumption. It outlines parameters and their values used in the calculations, including factors like water reduction, efficiency, and temperature differences.

Table 34: Electrical Unitary Energy Savings Values for Low-flow Showerheads Parameter Symbol EPI Reference Single-family Homes Apartments Baseline Flow Rate [gpm] qbase Variable (2.0 gpm, 2.25 gpm, or 2.5 gpm) Variable (2.0 gpm, 2.25 gpm,...

AI summary Table 34 presents electrical unitary energy savings values for low-flow showerheads, including baseline and low-flow rates, average shower usage, and efficiency metrics. It references data from EPI Program Manuals, tracking sheets, and studies by Mayer and Oreo, DeOreo, and the Pennsylvania Public Utility Commission.

Table 35: Electrical Unitary Energy Savings Values for Low-flow Showerheads (Continued) EPI Parameter Symbol Single-family Homes Apartments Reference Unit Conversion #2 [ft3 /gal] UC2 0.1337 Convention Share of Participants with Electrical...

AI summary Table 35 provides electrical unitary energy savings values for low-flow showerheads in single-family homes and apartments, with data on flow rate reductions and corresponding energy savings. It also notes that EPI units are installed in homes with electrical water heaters.

Table 37: Faucet Aerator Measure Summary Parameter EPI Reference Measure Description and Identification Measure Faucet aerators for heating with direct i 0.0040 - Baseline Standard faucet wit h no aerator Application Single-family homes Ap...

AI summary Table 37 provides a summary of the Faucet Aerator Measure, including details on installation rates, energy savings, and other parameters. The table outlines the measure's application, effective useful life, and energy savings metrics, with references to specific subsections for further details.

The equation below is used to calculate the annual unitary savings value for faucet aerators. $$\begin{split} &Energy \, Savings \left[\frac{kWh}{yr}\right] \\ &= \frac{\left(DHW_{base} - DHW_{efficient}\right) \left[\frac{gal}{day}\right]...

AI summary The text provides equations for calculating annual unitary savings from faucet aerators by comparing base and efficient domestic hot water consumption values, using parameters such as flow rates and energy conversion factors.

Table 38: Electrical Unitary Savings Values for Faucet Aerators Parameter Symbol Value for Single-family Homes Value for Apartments Reference Baseline Flow Rate [gpm] Qbase 1.39 1.39 DeOreo et al. in Residential End Uses of Water Study Upd...

AI summary Table 38 presents electrical unitary savings values for faucet aerators in single-family homes and apartments, including parameters like baseline flow rate, low-flow rate, number of faucets, and energy savings calculations. The data references studies and conventions from various sources.

Installation Rates [Table](#page-24-0) 39 lists the installation rate for EPI faucet aerators.

AI summary Table 39 in the document provides the installation rate for EPI faucet aerators, which are part of energy efficiency programs aimed at reducing energy consumption.

Table 39: EPI Faucet Aerator Installation Rate Installation Rate Margin of Error Reference 92% 7.0% 2024 EPI evaluation (on-site visits) (6) Thermostatic Shower Valves

AI summary Table 39 presents the EPI Faucet Aerator Installation Rate at 92% with a margin of error of 7.0%, based on the 2024 EPI evaluation. Section (6) discusses Thermostatic Shower Valves, though no details are provided.

Table 40: Thermostatic Shower Valve Measure Summary Parameter EPI Reference Measure Description and Identification Measure Thermostatic shower von DHW heating with direct - Baseline Showerheads with a flogpm with no thermosta Application S...

AI summary Table 40 provides a summary of the Thermostatic Shower Valve Measure, including parameters such as installation rates, energy savings, and peak demand savings. The table outlines the measure's application, effective useful life, and energy efficiency metrics.

The equation below is used to determine the annual unitary savings values for thermostatic shower valves. Energy savings are established by calculating the reduction in domestic hot water usage, as presented in the second equation below.

AI summary The document provides equations for calculating annual unitary savings values for thermostatic shower valves, based on the reduction in domestic hot water usage.

ne the annual unitary savings values for thermostatic shower valves. Energy savings are established by calculating the reduction in domestic hot water usage, as presented in the second equation below.

AI summary The text discusses calculating annual energy savings from thermostatic shower valves by quantifying reduced domestic hot water usage through a mathematical equation. The focus is on establishing energy savings via decreased hot water consumption.

$$DHW \ Reduction \ \left[\frac{gal}{year}\right] = q \ \left[\frac{gal}{min}\right] \times n_{people}[person] \times \%_{DHW} \times \ t_w \left[\frac{min}{shower}\right] \times n_{shower} \left[\frac{shower}{day \cdot person}\right] \tim...

AI summary The text presents a formula to calculate annual domestic hot water (DHW) reduction, incorporating variables like flow rate, number of people, shower frequency, and showerhead efficiency. The equation emphasizes quantifying water usage savings, likely for energy efficiency or demand-side management purposes.

1}{n_{showerhead}} = \frac{1}{n_{showerhead}} = \frac{1}{n_{showerhead}} = \frac{1}{n_{showerhead}} = \frac{1}{n_{showerhead}} = \frac{1}{n_{showerhead}} = \frac{1}{n_{showerhead}} = \frac{1}{n_{showerhead}} = \frac{1}{n_{showerhead}} = \f...

AI summary The text presents a mathematical equation and references Table 41, which contains parameters and resulting unitary savings values for thermostatic shower valves. The equation is repeated multiple times, and the table is mentioned as providing relevant data for the equations.

Table 41: Electrical Unitary Energy Savings Values for Thermostatic Shower Valves Parameter Symbol Value for Single family Homes Value for Apartments Reference Flow Rate [gpm] q 2.5 gpm EPI 2024 Program Manual Number of People per Househol...

AI summary Table 41 provides electrical unitary energy savings values for thermostatic shower valves in single-family homes and apartments, based on parameters like flow rate, number of showers, and efficiency. The table includes references to various studies and manuals, and the calculated unitary energy savings are 124 kWh/year for single-family homes and 141 kWh/year for apartments.

Table 43: Pipe Insulation Measure Summary Parameter EPI Reference Measure Description and Identification Measure Pipe insulation of 0.75 in. in thickness for electric DHW heating with direct installation - Baseline Pipes with no insulation...

AI summary Table 43 summarizes the pipe insulation measure, including details such as measure description, baseline, installation rate, effective useful life, and energy savings parameters. The table provides specific values for unitary energy savings, peak demand-to-energy ratio, and other related calculations.

As presented in [Table](#page-27-1) 44, the annual unitary savings value for pipe insulation was identified through Ontario Power Authority (OPA) 2011[59](#page-27-2) values and amounts, established at 12.7 kWh per linear foot.

AI summary The annual unitary savings value for pipe insulation is identified using values from the Ontario Power Authority (OPA) from 2011, set at 12.7 kWh per linear foot.

Table 44: Unitary Savings Value for Pipe Insulation Parameter EPI Unitary Energy Savings (per ft) [kWh/year] 12.7 Installation Rates [Table](#page-27-3) 45 lists the installation rate for EPI pipe insulation.

AI summary Table 44 presents the unitary energy savings value for pipe insulation, with a value of 12.7 kWh/year per foot. Table 45 is referenced for installation rates of EPI pipe insulation.

(8) Hot Water Tank Wraps

AI summary The section titled '(8) Hot Water Tank Wraps' introduces a regulatory consideration regarding hot water tank wraps, likely as part of energy efficiency initiatives or demand-side management programs. The context implies discussion around insulation measures for domestic hot water systems, though specific details are not elaborated in the provided text.

Table 46: Hot Water Tank Wrap Measure Summary Parameter EPI Reference Measure Description and Identification Measure Existing electric DHW heater with added tank wrap with direct installation - Baseline Existing hot water tanks without wra...

AI summary Table 46 provides a summary of the Hot Water Tank Wrap Measure, including parameters such as measure description, baseline, application, installation rate, effective useful life, and energy savings. It outlines the electrical savings parameters and references subsections for further details.

The following equations are used to determine the annual unitary savings associated with hot water tank wraps. The energy savings are equal to the difference in heat losses associated with tank circumference $(Q_{tank})$ before and after a...

AI summary The text outlines equations used to calculate the annual unitary energy savings from hot water tank wraps. It includes formulas for heat transfer in an insulated cylinder, calculations for heat losses, and the final energy savings in kWh. The example uses a 60 imperial gallon tank with a thermal resistance of 1.21 m².°C/W.

Table 47: Electrical Unitary Savings Values for Hot Water Tank Wraps Parameter Value for Single-family Homes Value for Apartments Reference Layer 1: Interior Insulation of Tank External Radius of the Layer [m] re 0.300 0.280 Giant60 Intern...

AI summary Table 47 presents electrical unitary savings values for hot water tank wraps in single-family homes and apartments, including parameters such as thermal resistance, heat transfer, and energy savings calculations based on various references and assumptions.

2.3.1 Interactive Effects Since space heating measures target heating and cooling loads directly, the impact of these measures on heating and cooling is considered in the unitary savings. Therefore, as presented in [Table](#page-31-3) 49,...

AI summary The document discusses the interactive effects of space heating measures, noting that their direct impact on heating and cooling loads is already accounted for in unitary savings, leading to assumed nil interactive effects factors for these measures.

Table 49: Interactive Effects Factors for Space Heating Measures Measure Interactive Effects Factor for Energy Savings Interactive Effects Factor for Peak Demand Savings Reference Mini-split Heat Pump 0% 0% No interactive effects for space...

AI summary Table 49 outlines interactive effects factors for various space heating measures, noting that mini-split heat pumps have 0% interactive effects for both energy and peak demand savings. Other measures like central air-source and ground-source heat pumps are mentioned, though their factors are not fully detailed. The table references a technical manual from the Pennsylvania Public Utility Commission.

Table 50: Peak Demand-to-energy Ratios for Space Heating Measures Measure Peak Demand to-energy Ratio (W/kWh) Reference Mini-split Heat Pumps (MSHPs) - - Central Air-source Heat Pumps Ground-source Heat Pumps Wood and Pellet Stoves/Firepla...

AI summary Table 50 presents peak demand-to-energy ratios for various space heating measures, including heat pumps, wood and pellet stoves, solar air heating, and air sealing products. These ratios are used to assess the energy efficiency of different heating solutions, with some values derived from assumptions and literature reviews.

Table 51: Mini-split Heat Pump Measure Summary Parameter Green Heat ASFH HEA MHEEP Reference Measure Description and Identification Measure Mini-split heat pumps for high-efficiency space heating with direct installation (ASFH, HEA, MHEEP)...

AI summary Table 51 summarizes the parameters for the mini-split heat pump measure, including installation rates, energy savings, and peak demand savings. The table outlines details for different programs such as Green Heat, ASFH, HEA, and MHEEP.

For Green Heat, the electrical unitary energy savings for MSHPs are based on the billing analysis results of the 2024 Green Heat evaluation, which yielded savings per unit of capacity for both homes that were fully electrically heated and...

AI summary The document discusses the calculation of electrical unitary energy savings for MSHPs under the Green Heat and ASFH programs. For Green Heat, savings are calculated based on billing analysis results, while for ASFH, savings are calculated for the entire home and adjusted based on the percentage of electric space heating.

Table 52: Electrical Energy Savings Values for Mini-split Heat Pumps in ASFH Parameter Symbol Value Reference Rated Heating Capacity of the MSHP [BTU/h] НС Specification data for each installed system AHRI certified value Percentage of Ele...

AI summary Table 52 provides electrical energy savings values for mini-split heat pumps in affordable single-family housing (ASFH), including parameters such as heating capacity, efficiency, and equivalent full load hours. The data is based on AHRI certified values and billing analysis from the 2024 Green Heat evaluation.

For MSHPs, peak demand savings are only claimed for households with a fully electrically heated baseline. They are nil for mainly electrically heated baselines as a Green Heat billing analysis indicated no electrical energy savings for tho...

AI summary The document discusses peak demand savings for MSHPs, noting that savings are only claimed for fully electrically heated baselines, not for mainly electrically heated ones. It references a Green Heat billing analysis and provides a formula for calculating peak demand savings.

Table 55: Central Air-source Heat Pump Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure rebated after purchase Central air-source (air-to-air and air-to-water) heat pumps - Baseline Electric...

AI summary Table 55 provides a summary of the Central Air-source Heat Pump Measure, including parameters such as installation rates, effective useful life, energy savings, and peak demand savings. The table outlines the baseline for electric resistance space heating and details the calculation methods for energy and peak demand savings.

Table 57: Ground-source Heat Pump Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Ground-source heat pumps for high-efficiency space rebated after installation (HEA) or rebated after purchase (...

AI summary Table 57 provides a summary of the Ground-source Heat Pump Measure, including details on installation rates, effective useful life, energy savings calculations, and peak demand savings. The measure involves rebating ground-source heat pumps after installation or purchase, with baseline comparisons to electric heating resistance and other heat pump types.

Table 58: Electrical Unitary Savings Values for Ground-source Heat Pumps in Green Heat Parameter Symbol Value Reference Rated heating capacity of the new heat pump [Btu/h] 𝐻𝐶 Specification data for each installed system AHRI certified valu...

AI summary Table 58 presents electrical unitary savings values for ground-source heat pumps in the Green Heat program, including parameters like heating and cooling capacity, performance factors, and load hours, with references to AHRI certified values and technical manuals.

Table 59: Wood and Pellet Stove and Fireplace Insert Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure purchase (Green Heat) Wood and pellet stoves and fireplace inserts rebated after install...

AI summary Table 59 provides a summary of energy savings parameters for wood and pellet stove and fireplace insert measures under the Green Heat Home Energy Assessment (HEA) program. It includes details on installation rates, effective useful life, and energy and peak demand savings.

(5) Wood and Pellet Boilers and Furnaces

AI summary This section of the regulatory proceeding addresses wood and pellet boilers and furnaces, likely examining their efficiency, program eligibility, or regulatory considerations within Nova Scotia's energy framework.

Table 61: Wood and Pellet Boiler and Furnace Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure purchase (Green Heat) Wood and pellet boilers and furnaces rebated after installation (HEA) or r...

AI summary Table 61 provides a summary of the Wood and Pellet Boiler and Furnace Measure under the Green Heat program. It outlines parameters such as installation rates, effective useful life, energy savings, and peak demand savings for various heating systems, including electrical heating, heat pumps, and HEA (Home Energy Assessment).

resources.canada.ca/energy-efficiency/energy-efficiency-regulations/guide-canadas-energy-efficiency-regulations/split-system-central-air-conditioners-and-heat-pumps/6895) 74 The HOT2000 energy models were developed as part of the 2013 eval...

AI summary The text references the HOT2000 energy models developed as part of the 2013 evaluation, which are relevant to energy efficiency regulations and standards.

Table 62: Electrical Unitary Energy Savings Values for Wood and Pellet Boilers and Furnaces Green Heat ĒΑ Parameter Symbol Wood Furnace or Boiler Pellet Furnace or Boiler Wood Furnace or Boiler Pellet Furnace or Boiler Reference Coefficien...

AI summary Table 62 presents electrical unitary energy savings values for wood and pellet boilers and furnaces, comparing the coefficient of performance for baseline electric resistance and heat pumps, along with annual energy savings calculations based on these values.

Table 64: Solar Air Heating Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Solar air heating systems rebated after installation - Baseline Electric space heating (resistance or heat pump) Gene...

AI summary Table 64 outlines the parameters for the Solar Air Heating Measure, including installation rates, useful life, and energy savings calculations. The measure involves rebating solar air heating systems after installation, with a baseline of electric space heating. Energy savings are calculated using RETScreen and include a peak demand-to-energy ratio of 0.000.

Table 65: Air Sealing Product Measure Summary Parameter EPI Reference Measure Description and Identification Measure Air sealing products in electrically heated homes with direct installation - Baseline Door and/or windows without added ai...

AI summary Table 65 provides a summary of air sealing product measures, including installation rates, effective useful life, and energy savings parameters for different types of homes and products. It outlines the performance metrics for foam gaskets, door sweeps, and weather stripping in both electrically heated and heat pump heated homes.

The electrical unitary energy savings values are based on the results of an evaluation of a residential weatherization program conducted in Connecticut by KEMA in 2010.[77](#page-48-0) Based on post-retrofit blower door tests on sampled ho...

AI summary The document discusses the calculation of electrical unitary energy savings values from a residential weatherization program evaluated in Connecticut by KEMA in 2010. The savings values are derived from post-retrofit blower door tests and adjusted using the COP of a standard mini-split heat pump.

Table 66: Savings Values for Air Sealing Products in Electric Resistance and Heat Pump Heated Homes Measure Electric Resistance Heated Homes Heat Pump Heated Homes Reference Annual Energy Savings from Foam Gaskets [kWh/gasket] 9 5.00 Elect...

AI summary Table 66 presents annual energy savings values for air sealing products in homes heated by electric resistance and heat pumps. The table includes data on foam gaskets, door sweeps, window air sealing, and door weather stripping. Installation rates for EPI air sealing products are referenced in Table 67.

Table 68: Window Film Kit Measure Summary Parameter EPI Reference Measure Description and Identification Measure Window film kits installed by the participant (left behind by the delivery agent), in electrically heated homes - Baseline Win...

AI summary Table 68 provides a summary of the Window Film Kit Measure, including details such as installation rate, energy savings, and peak demand savings. The table outlines parameters for electrically heated homes and heat pump heated homes, with references to subsections and external sources.

Table 70: Programmable Thermostat Measure Summary Parameter Instant Savings MHEEP Reference Measure Description and Identification Measure Programmable thermostats rebated in store for controlling electric baseboards Programmable thermosta...

AI summary Table 70 summarizes the Programmable Thermostat Measure for the MHEEP and Instant Savings programs, including parameters like installation rates, energy savings, and peak demand-to-energy ratios. Both programs have identical values for most parameters, with references to subsections and external documents for detailed calculations.

Table 71: Electrical Unitary Savings Calculations for Programmable Thermostats Instant Savings MHEEP Parameters Symbol Single-family Duplex/Triplex/ Townhouse Apartment Single-family Reference Proportion of Each Dwelling Type 𝐷𝑤𝑒𝑙𝑙𝑖𝑛𝑔 𝑃𝑟𝑜𝑝...

AI summary Table 71 provides electrical unitary savings calculations for programmable thermostats across different dwelling types, including single-family homes, duplexes, townhouses, and apartments. It includes data on thermostat savings, temperature setback savings, and total savings per dwelling type, with references to sources such as Statistics Canada and Econoler.

Some models of smart thermostats are compatible with electrical heating systems. They operate by connecting to a single baseboard, MSHP, or in-floor heating system as opposed to a central heating system. The equation below is used to calcu...

AI summary The document discusses the calculation of energy savings from smart thermostats installed in electrical heating systems, including baseboard, MSHP, and in-floor systems. It references studies and categories of thermostats, such as programmable, non-learning smart, and advanced learning, to determine a 10.2% heating consumption savings percentage based on the 2025 Illinois TRM.

Table 73: Electrical Unitary Energy Savings Calculation for Non-learning Smart Thermostats for Electrical Heating Systems ASFH, EPI, Instant Savings Single-family homes Apartments Reference Parameter Symbol Value for Electric Baseboard or...

AI summary Table 73 presents an analysis of energy savings from non-learning smart thermostats in electrical heating systems, including values for single-family homes and apartments. It includes parameters such as average heating energy consumption, percentage of heating load saved, and unitary savings. The data is based on HEA tracking sheets and assumptions from the 2025 Illinois TRM.

The equation below is used to calculate the unitary savings value for learning thermostats compatible with central electrical heating systems and installed through EPI. $$Energy Savings_{kWh} = \frac{Heating \ Energy \times \%Savings}{COP}...

AI summary The document provides an equation to calculate energy savings from learning thermostats installed through EPI on central electrical heating systems. It references a table showing 12% heating consumption savings for central air-source heat pumps, which are compatible with Nest thermostats.

Table 76: Billing Analysis Savings Results for Advanced Learning Thermostats for Central Heating Systems Jurisdiction Measure Sample Size Heating Consumption Savings Oregon96 Nest learning thermostats 185 12% (for ASHPs) Bonneville Power A...

AI summary Table 76 and Table 77 analyze the energy savings from advanced learning thermostats for central heating systems in Oregon and the Bonneville Power Administration. The data shows a 12% savings in heating consumption for air-source heat pumps (ASHPs), with unitary energy savings calculated based on parameters such as heating energy consumption, percentage of heating load saved, and coefficient of performance (COP).

2.4.1 Interactive Effects Retiring old appliances causes an increase in the heating load in the winter and a decrease in the cooling load in the summer since compressors on old appliances release significantly more waste heat than newer, m...

AI summary Retiring inefficient appliances can increase heating loads in winter and decrease cooling loads in summer. In Nova Scotia, due to the longer heating season and shorter cooling season, the overall interactive effects are expected to be negative. However, several factors, such as the use of electricity for heating and the placement of appliances, reduce the impact. Additionally, a portion of households use air conditioning, which can offset some of the negative effects. Overall, interactive effects are considered negligible, leading to a 0% factor for energy and peak demand savings.

Table 78: Interactive Effects Factors for Appliances Measure Interactive Effects Factor for Energy Savings Interactive Effects Factor for Peak Demand Savings Reference Clotheslines and Outdoor Drying Racks 0% 0% Assumption Refrigerator Ret...

AI summary Table 78 outlines interactive effects factors for various appliance measures, focusing on energy savings and peak demand savings. The table includes entries for items such as clotheslines, refrigerator replacements, and ENERGY STAR® certified appliances, though many fields are left blank or referenced in the text above.

Table 80: Clothesline and Outdoor Drying Rack Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Clotheslines and outdoor drying racks rebated in store - Baseline Clothes being dr...

AI summary Table 80 provides a summary of the Clothesline and Outdoor Drying Rack Measure, including parameters such as installation rate, effective useful life, and energy savings. The measure involves rebating clotheslines and outdoor drying racks in store, with a baseline of clothes being dried using a clothes dryer.

The savings from this measure are due to avoided clothes dryer loads. The following equation is used to establish the unitary savings associated with clotheslines and outdoor drying racks. $$\begin{split} &Energy \, Savings \, \left[\frac{...

AI summary The text discusses energy savings from using clotheslines and outdoor drying racks, providing an equation to calculate annual energy savings based on laundry loads, the proportion of loads dried on these racks, and energy consumption per load. Table 81 lists the parameters and resulting savings values.

tial Efficient Product Rebates Program – 2022 DSM Evaluation , Final Report presented to Efficiency Nova Scotia, March 2023. 2025 DSM Measure Assessment Final Report 82 107 Econoler, Residential Efficient Product Rebates Program – 2017 DSM...

AI summary The 2025 DSM Measure Assessment Final Report references evaluations of Nova Scotia's Residential Efficient Product Rebates Program, citing data from Natural Resources Canada and academic studies on appliance efficiency. The report uses two years of data (2022–2023) for analysis, with plans to expand to three years in future updates.

Table 83: Electrical Unitary Savings Values for Refrigerator Retirements ARet Parameter Symbol Manufacture year Class Full-sized Refrigerators ft.3 (≥ 10 ) Small Refrigerators ft.3 (< 10 ) Reference Annual Consumption per Size [kWh/ft3 ] 𝐶...

AI summary Table 83 provides electrical unitary savings values for refrigerator retirements, including annual consumption per size, proportion of refrigerators by manufacture year, average annual consumption, and unitary energy savings. These values are based on data analysis from NRCan, metering activities, and participant surveys.

To determine the electrical unitary energy savings value of retired freezers, the following equations are used. ℎ = × × × − = ∑( × %) Average annual per-cubic-foot energy consumption is calculated using 2017 metering activity results[116](...

AI summary The document outlines the methodology used to calculate the electrical unitary energy savings value of retired freezers, including the use of average annual energy consumption data from various sources and adjustments for aging appliances.

Table 89: Electrical Unitary Savings Values for Dehumidifier Replacements or Retirements Parameter/ Symbol ARet, ASFH Reference Average Water Removal Capacity [L/day] 𝐴𝑊𝑅𝐶 3.87 2011 OPA Average Operating Days [days/year] 𝐴𝑂 2011 OPA Energy...

AI summary Table 89 provides electrical unitary savings values for dehumidifier replacements or retirements, including parameters like average water removal capacity, energy factors for baseline and new ENERGY STAR certified dehumidifiers, and calculated unitary energy savings.

(6) ENERGY STAR Certified Clothes Dryers

AI summary The document section focuses on ENERGY STAR Certified Clothes Dryers, likely discussing their role in energy efficiency programs and regulatory considerations within Nova Scotia's utility framework.

Summary [Table](#page-74-0) 90 presents a summary of the values used to calculate ENERGY STAR certified clothes dryer savings. The detailed methodology follows.

AI summary Table 90 summarizes the values used to calculate ENERGY STAR certified clothes dryer savings. The detailed methodology for these calculations is provided in the document.

Table 90: ENERGY STAR Certified Clothes Dryer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR certified clothes dryers rebated in store - Baseline New non-ENERGY STAR certified...

AI summary Table 90 summarizes the ENERGY STAR certified clothes dryer measure, including parameters such as installation rate, energy savings, and peak demand savings. The measure involves rebating ENERGY STAR certified dryers in-store, with a baseline of non-ENERGY STAR certified dryers.

The electrical unitary energy savings of the ENERGY STAR certified clothes dryer measure are calculated using the equations below. Energy Savings $$_{kWh} = ADL \times ALW \times \left(\frac{1}{CEF_{base}} - \frac{1}{CEF_{new}}\right)$$ Th...

AI summary This text discusses the calculation of energy savings for ENERGY STAR certified clothes dryers using equations that incorporate average daily loads and combined energy factors. Data sources include Natural Resources Canada surveys and appliance efficiency ratings.

Table 91: Electrical Unitary Savings Values for ENERGY STAR Certified Clothes Dryer Parameter Symbol Instant Savings Reference Average Dried Loads per Year [load/year] 𝐴𝐷𝐿 197 2015 NRCan133 Average Load Weight [lbs/load] 𝐴𝐿𝑊 8.45 2019 PUC...

AI summary Table 91 presents electrical unitary savings values for ENERGY STAR certified clothes dryers, including parameters such as average dried loads per year, combined energy factor of new and baseline units, and unitary energy savings. The table also references data sources such as Natural Resources Canada and the 2024 IS tracking sheet.

(7) Efficient Clothes Washers

AI summary The section titled '(7) Efficient Clothes Washers' likely discusses initiatives or regulations related to promoting energy-efficient washing machines, potentially under broader energy efficiency or appliance standards programs.

Table 92: Efficient Clothes Washer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR clothes washers, rebated in store - Baseline New non-ENERGY STAR clothes washer General Param...

AI summary Table 92 summarizes the Efficient Clothes Washer Measure, focusing on energy savings parameters such as unitary energy savings, peak demand-to-energy ratio, and effective useful life. The measure involves rebating ENERGY STAR clothes washers and assumes a 100% installation rate.

Energy Consumption Calculation First, the energy consumption values of both baseline and efficient clothes washers are determined using the following equation. $$Clothes \ Washer \ Energy \ Consumption \ [kWh] \ = \frac{Number \ of \ Loads...

AI summary The document outlines the calculation method for determining the energy consumption of baseline and efficient clothes washers using a specific equation involving number of loads, capacity, and IMEF. A table provides the parameters and resulting energy consumption values.

Table 93: Clothes Washer Energy Consumption Parameter Symbol Value for Baseline Clothes Washer Value for Efficient Clothes Washer Reference Number of Loads [Loads/Year] 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝐿𝑜𝑎𝑑𝑠 218 2015 NRCan135 Capacity [L] 𝐶𝑎𝑝𝑎𝑐𝑖𝑡𝑦 127 Weighted a...

AI summary Table 93 compares energy consumption parameters for baseline and efficient clothes washers, including number of loads, capacity, and energy factor. Data sources include Natural Resources Canada and ENERGY STAR Certified Clothes Washers database, with references to 2015 and 2024 surveys.

Water Heating Adjustment Both energy consumption values do not take into account the proportion of hot water for clothes washers produced with electricity in Nova Scotia, nor the use of cold water for washing. Therefore, the energy consump...

AI summary The text discusses the need to adjust energy consumption calculations for clothes washers in Nova Scotia, considering the proportion of hot and cold water usage during the washing process. Correction factors are applied at each stage of the washing process to improve accuracy.

Table 94: Energy Consumption Breakdown for Baseline and Efficient Clothes Washers Energy Consumption Breakdown for Clothes Washers Proportion of Overall Consumption138 Baseline Clothes Washer Electricity Consumption (kWh/year) Efficient Cl...

AI summary The table presents energy consumption breakdowns for baseline and efficient clothes washers, showing significant reductions in electricity use for water heating systems, clothes dryers, and washer drums. The analysis also includes an adjustment factor for cold water washing based on Hydro-Québec survey data.

Table 96: Electricity Consumption for Baseline Clothes Washers Energy Consumption Component Energy Consumption (kWh/year) Adjustment Factor for Electrical Water Heating Adjustment Factor for Cold Water Usage Adjusted Energy Consumption (kW...

AI summary The tables present electricity consumption data for baseline and efficient clothes washers, including energy consumption components, adjustment factors, and adjusted energy consumption values. The unitary energy savings value is calculated based on the difference between baseline and efficient models.

Table 98: Electrical Unitary Savings Value for Clothes Washer Parameters Value Adjusted Energy Consumption of Baseline Clothes Washer [kWh/year] 432 Adjusted Energy Consumption of Efficient Clothes Washer [kWh/year] 294 Unitary Energy Savi...

AI summary Table 98 presents the electrical unitary savings value for clothes washers, comparing the adjusted energy consumption of baseline and efficient models, resulting in an annual energy savings of 138 kWh. The table also includes a section on installation rates.

(8) Efficient Washer-Dryer Combination Units

AI summary This section discusses the evaluation or promotion of efficient washer-dryer combination units, likely within the context of energy efficiency initiatives in Nova Scotia. It may address their role in demand-side management, appliance standards, or program design.

Summary [Table](#page-79-0) 99 presents a summary of the values used to calculate efficient washer-dryer combination unit savings. The detailed methodology follows.

AI summary Table 99 summarizes the values used to calculate efficient washer-dryer combination unit savings, with a detailed methodology provided afterward.

Table 99: Efficient Washer-Dryer Combination Units Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR washer-dryer combination units rebated in store - Baseline New non-ENERGY STAR washer-dryer c...

AI summary The table outlines the parameters for efficient washer-dryer combination units, including energy savings, installation rates, and useful life. It highlights the ENERGY STAR units and their baseline comparison, as well as key metrics such as unitary energy savings and peak demand-to-energy ratio.

For efficient washer-dryer combination units, the current models available through the program consist of a dryer and a washer with separate drums that operate separately. Therefore, the energy savings are calculated by summing the savings...

AI summary The text outlines the methodology for calculating energy savings from efficient washer-dryer combination units, using data from the NRCan 2015 Survey and the weighted average CEF of 2024 models. It references equations and a table that detail the parameters and unitary savings for clothes dryer replacement.

Table 100: Electrical Unitary Savings Values for the Efficient Clothes Dryer Component of Efficient Washer-Dryer Combination Units Parameter Symbol Instant Savings Reference Average Dried Loads per Year [load/year] 𝐴𝐷𝐿 197 2015 NRCan142 Av...

AI summary The table provides electrical unitary savings values for efficient clothes dryers in washer-dryer combination units. It includes parameters such as average dried loads, load weight, and combined energy factors for both new and baseline units, with savings calculated based on energy efficiency improvements.

Table 101: Clothes Washer Energy Consumption Parameter Value for Baseline Clothes Washer Value for Efficient Clothes Washer Reference Number of Loads [Loads/Year] 218 2015 NRCan145 Capacity [L] 127 Weighted average capacity based on rebate...

AI summary Table 101 compares the energy consumption of baseline and efficient clothes washers, highlighting parameters such as number of loads, capacity, and energy efficiency factors. The data references sources from Natural Resources Canada and ENERGY STAR Certified databases, emphasizing differences in energy use between the two types of washers.

//www.energystar.gov/productfinder/product/certified-clothes-washers/)[clothes-washers/](https://www.energystar.gov/productfinder/product/certified-clothes-washers/) (last accessed December 21, 2018). Both energy consumption values do not...

AI summary The text discusses energy consumption values for clothes washers, noting that they do not account for the proportion of hot water used or cold water usage in Nova Scotia. It explains that energy consumption is broken down by washing process stages to apply correction factors separately.

Table 102: Energy Consumption Breakdown for Baseline and Efficient Clothes Washers Energy Consumption Breakdown for Clothes Washers Proportion of Overall Consumption148 Baseline Clothes Washer Electricity Consumption (kWh/year) Efficient C...

AI summary The table provides an energy consumption breakdown for baseline and efficient clothes washers, highlighting significant reductions in electricity use across water heating systems, clothes dryers, and washer drums. The analysis also includes an adjustment factor for cold water washing based on Hydro-Québec survey data and references data from EPI tracking sheets to determine the proportion of electrically heated water in Nova Scotia.

Table 104: Electricity Consumption for Baseline Clothes Washers Energy Consumption Component Energy Consumption (kWh/year) Adjustment Factor for Electrical Water Heating Adjustment Factor for Cold Water Usage Adjusted Energy Consumption (k...

AI summary The text presents tables comparing the electricity consumption of baseline and efficient clothes washers, including adjustment factors for water heating and cold water usage. The unitary energy savings value is calculated based on the difference in energy consumption between the two types of washers.

Table 106: Electrical Unitary Savings Value for the Clothes Washer Component of Efficient Washer-Dryer Combination Units Parameters Value Adjusted Energy Consumption of Baseline Clothes Washer [kWh/year] 416 Adjusted Energy Consumption of...

AI summary Table 106 presents the electrical unitary savings value for the clothes washer component of efficient washer-dryer combination units, showing a reduction in energy consumption from 416 kWh/year to 295 kWh/year, resulting in 121 kWh/year in unitary energy savings.

Table 107: ENERGY STAR Certified Room Air Purifier Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR certified room air purifiers rebated in store - Baseline New Non-ENERGY STAR...

AI summary This table provides a summary of the ENERGY STAR certified room air purifier measure, including parameters such as installation rate, effective useful life, unitary energy savings, and peak demand savings. The measure involves rebating ENERGY STAR certified room air purifiers in store.

The electrical unitary energy savings value is determined by using the following equation for ENERGY STAR certified room air purifiers. $$\begin{split} Energy \, Savings \, \left[ \frac{kWh}{year} \right] \\ &= \left[ CADR[cfm] \times \lef...

AI summary The text provides a formula for calculating the energy savings of ENERGY STAR certified room air purifiers, using parameters such as CADR, EF, SBP, and HOU. It references data from the 10 most sold models under the Instant Savings program and the Savings Calculator for ENERGY STAR Qualified Appliances due to the absence of Canadian minimum requirements for room air purifiers.

Table 108: Electrical Unitary Savings Values for ENERGY STAR Certified Room Air Purifiers Parameter Symbol Instant Savings Reference Clean Air Delivery Rate [cfm] 𝐶𝐴𝐷𝑅 172 Weighted average of the 10 most sold models in the 2024 tracking sh...

AI summary Table 108 presents electrical unitary savings values for ENERGY STAR certified room air purifiers, including parameters such as Clean Air Delivery Rate, efficiency for baseline and efficient units, annual operating hours, standby power, and unitary energy savings. These values are derived from weighted averages of the 10 most sold models in the 2024 tracking sheet and calculated using the Savings Calculator for ENERGY STAR Qualified Appliances.

Summary [Table](#page-85-0) 109 presents a summary of the values used to calculate ENERGY STAR certified dishwasher savings. The detailed methodology follows.

AI summary Table 109 summarizes the values used to calculate ENERGY STAR certified dishwasher savings. The detailed methodology for these calculations is provided in the document.

Table 109: ENERGY STAR Certified Dishwasher Measure Summary Parameter Instant Savings Measure Description and Identification Measure ENERGY STAR certified dishwashers that use less than 250 kWh, rebated in store - Baseline New non-ENERGY S...

AI summary Table 109 provides a summary of the ENERGY STAR certified dishwasher measure, including parameters such as installation rate, energy savings, and peak demand savings. The table outlines the measure description, baseline, and various energy efficiency metrics.

The electrical unitary energy savings value is determined by using the following equation for ENERGY STAR certified dishwashers. $$\begin{split} \textit{Energy Savings} & \left[ \frac{kWh}{year} \right] \\ & = \left( \textit{Consumption}_{...

AI summary The document provides an equation for calculating the electrical unitary energy savings value for ENERGY STAR certified dishwashers, using parameters such as consumption, operation percentage, water heating percentage, and number of loads. A table lists the parameters and resulting savings values, with the baseline representing non-ENERGY STAR certified models.

Table 110: Electrical Unitary Savings Values for ENERGY STAR Certified Dishwashers Parameter Symbol Instant Savings Reference Baseline Consumption [kWh] Consumptionbase 260 Average of non-ES models in Natural Resources Canada, Searchable p...

AI summary Table 110 presents electrical unitary savings values for ENERGY STAR certified dishwashers, including baseline and efficient unit consumption, percentages of energy use for operation and water heating, and average annual load numbers. The data sources include Natural Resources Canada, Illinois TRM, and EPI tracking sheets from Nova Scotia.

Table 111: ENERGY STAR Certified Bathroom Exhaust Fan Summary Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR certified bathroom exhaust fans without lighting included and with a minimum effic...

AI summary This table outlines the energy savings parameters for ENERGY STAR certified bathroom exhaust fans, including unitary energy savings, peak demand savings, and other relevant metrics. The measure involves replacing existing fans with more efficient models.

The electrical unitary energy savings for bathroom exhaust fans are calculated using the variables defined and listed in the equation and [Table](#page-88-0) 112 below. $$Energy \ Savings_{kWh} = \frac{CFM \times HOU}{1,000} \times \left(\...

AI summary The document outlines a formula for calculating electrical unitary energy savings for bathroom exhaust fans, using variables such as CFM, HOU, and efficiency ratios. The formula is referenced in a table on page 88-0.

Table 112: Electrical Savings Values for Bathroom Exhaust Fans Parameter Symbol Instant Savings Reference Fan Exhaust Rate [CFM] CFM 99.1 Weighted average from ENERGY STAR compliant model list and 2021 Instant Savings tracking sheet Annual...

AI summary Table 112 presents electrical savings values for bathroom exhaust fans, including parameters such as fan exhaust rate, annual operating hours, base and efficient fan efficacy, and energy savings. These values are calculated based on ENERGY STAR compliant models and industry standards.

Table 113: Unitary Peak Demand Savings Values for Bathroom Exhaust Fans Parameter Symbol Instant Savings Reference Fan Exhaust Rate [CFM] CFM 99.1 Weighted average from ENERGY STAR compliant model list and 2021 Instant Savings tracking she...

AI summary Table 113 presents unitary peak demand savings values for bathroom exhaust fans, including parameters such as fan exhaust rate, base and efficient fan efficacy, peak coincidence factor, and peak demand savings. These values are calculated using data from ENERGY STAR compliant models and assumptions from previous evaluations.

(12) Humidity Sensors for Bathroom Exhaust Fans Summary Table 114 presents a summary of the values used to calculate humidity sensor for bathroom exhaust fan savings. The detailed methodology follows.

AI summary Table 114 summarizes the values used to calculate humidity sensor for bathroom exhaust fan savings, with the detailed methodology provided in the following sections.

The electrical unitary energy savings for humidity sensor for bathroom exhaust fan are calculated using the variables defined and listed in the equation and Table 115 below. $$Energy \ Savings_{fan} \ \left[\frac{kWh}{year}\right] = \% \ S...

AI summary The document outlines the calculation method for electrical unitary energy savings from humidity sensors in bathroom exhaust fans, using variables such as HOU, CFM, and efficiency factors. The equations provided detail energy savings for both the fan and heating components.

Table 115: Electrical Savings Values for Humidity Sensors for Bathroom Exhaust Fans Parameter Symbol EPI Reference Fan Efficiency [CFM/W] 𝜂𝑓𝑎𝑛 3.5 ENERGY STAR min standard, 2024159 Savings Percentage % Savings 50% Demand-controlled ventila...

AI summary Table 115 outlines electrical savings values for humidity sensors used in bathroom exhaust fans, including fan efficiency, savings percentage, fan exhaust rate, annual operating hours, and energy savings. The data is based on ENERGY STAR standards and case studies, with savings calculated for electric heating systems.

Table 116: Electrical Heating per Heating Source Savings Values for Humidity Sensors for Bathroom Exhaust Fans Parameter Symbol EPI Reference Density of Air [kg/m3 ] 𝜌 1.293 Convention Heat Capacity of Air [J/kg/°C] 𝐶𝑝 1005 Convention Fan...

AI summary The table provides energy savings values for humidity sensors in bathroom exhaust fans under different heating sources. It includes parameters such as air density, heat capacity, operating hours, temperature differences, and COP values for electric resistance and heat pumps. Calculations show energy savings for both heating sources.

Table 117: Electrical Savings Values for Humidity sensor for Bathroom Exhaust Fan Parameter Percentage of Heating Source Energy Savings per Heating Source Unitary Energy Savings Reference Energy Savings for Electric Resistance [kWh/year] 2...

AI summary Table 117 presents electrical savings values for humidity sensors used in bathroom exhaust fans, including energy savings for electric resistance and heat pumps, as well as fan energy savings. The table includes percentages of heating sources, energy savings per heating source, and unitary energy savings.

2.5 Plug Load Controls

AI summary The section titled '2.5 Plug Load Controls' introduces a regulatory topic focused on managing energy consumption from plugged-in devices, likely within the context of demand-side management programs. It may discuss strategies for reducing standby power usage, efficiency standards, or incentives for adopting smart plug load technologies.

Table 119: Peak Demand-to-energy Ratios for Plug Load Control Measures Measure Peak Demand-to-energy Ratio (W/kWh) Reference Smart Power Controller for Audiovisual Equipment 0.000 RES-Plug Load Controls, Navigant Power Bar with Integrated...

AI summary Table 119 presents peak demand-to-energy ratios for various plug load control measures, including smart power controllers and energy-efficient pool pumps. These measures are referenced in the 2016-2018 DSM Plan and other sources like Navigant and ENERGY STAR.

Table 120: Smart Power Controllers for Audiovisual Equipment Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Smart power controllers for audiovisual equipment rebated in store - Baseline N...

AI summary Table 120 provides a summary of a measure involving smart power controllers for audiovisual equipment. It outlines parameters such as installation rate, useful life, and energy savings. The measure is categorized as Tier 1 power strip, and the baseline is non-smart power controllers.

Table 122: Power Bar with Integrated Timer Measure Summary Parameter Instant Savings Reference Measure Description and Identificatio n Measure Description Power bars with integrated timer rebated in store - Baseline Power bars without an i...

AI summary Table 122 provides a summary of the Power Bar with Integrated Timer Measure, including parameters such as installation rate, effective useful life, and energy savings. The measure involves rebating power bars with integrated timers, and the table outlines baseline assumptions and savings calculations.

Table 123: Electrical Unitary Savings Value for Power Bars with Integrated Timers Parameter Entertainment Centre Computer System Lighting Other Proportion 40.3% 15.7% 19.4% 24.6% Average Standby Wattage 38.1 W 28 W 21.6 W169 28 W Old Opera...

AI summary Table 123 presents the electrical unitary savings value for power bars with integrated timers across different device categories, including entertainment centres, computer systems, lighting, and others. The table highlights energy savings based on operating time reductions and standby wattage.

Table 124: Heavy-duty Outdoor Timer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Heavy-duty outdoor timers rebated in store - Baseline Outdoor outlets without timers General...

AI summary This table provides a summary of the Heavy-duty Outdoor Timer Measure, including its description, baseline, installation rate, effective useful life, and energy savings parameters. The measure involves rebating heavy-duty outdoor timers in stores and is based on energy savings calculations and assumptions from the U.S. Department of Energy.

Table 125: Electrical Unitary Savings Values of Heavy-duty Outdoor Timers Parameter Value Reference Unitary Energy Savings [kWh/year] 122 OPA, 2012171 Installation Rates

AI summary Table 125 presents the electrical unitary savings values of heavy-duty outdoor timers, with a unitary energy savings value of 122 kWh/year, referenced from OPA, 2012171. The table also includes a section on installation rates, though no specific details are provided.

(4) ENERGY STAR Certified Pool Pumps

AI summary The document section focuses on ENERGY STAR Certified Pool Pumps, likely discussing their role in energy efficiency programs. No detailed content is provided in the text chunk beyond the heading and contextual acronym list.

Summary [Table](#page-96-3) 126 presents a summary of the values used to calculate ENERGY STAR certified pool pump savings. The detailed methodology follows.

AI summary Table 126 summarizes the values used to calculate ENERGY STAR certified pool pump savings, with the detailed methodology provided in the following text.

Table 126: ENERGY STAR Certified Pool Pump Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description ENERGY STAR certified pool pumps rebated in store - Baseline Standard efficiency elec...

AI summary This table summarizes the ENERGY STAR certified pool pump measure, including details on energy savings, installation rates, and life expectancy. The measure involves rebating energy-efficient pool pumps and outlines parameters such as unitary energy savings and peak demand-to-energy ratios.

Table 127: Unitary Savings Values of ENERGY STAR Certified Pool Pumps Parameter Value Reference Average Power [kW] 1.36 Pool Pump Demand Response Potential Report, 2008 174 Old Operating Time [h/day] 5.18 Pool Pump Demand Response Potentia...

AI summary Table 127 presents unitary savings values for ENERGY STAR certified pool pumps, including parameters such as average power, operating time, and energy savings calculations. The data is sourced from various reports and assumptions, with a focus on energy efficiency improvements.

2.6.3 Demand Reduction Measures

AI summary The section titled '2.6.3 Demand Reduction Measures' introduces a subsection focusing on strategies and initiatives aimed at reducing energy demand through various programs and policies, including demand-side management, appliance retirement, and residential and business energy rebates.

(1) Domestic Water Heater Timers

AI summary The document discusses regulatory considerations for Domestic Water Heater Timers, focusing on energy efficiency and potential impacts on demand-side management programs in Nova Scotia.

Table 128: Domestic Water Heater Timer Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Description Domestic water heater timers rebated after purchase - Baseline Electric water heaters without...

AI summary The table provides a summary of the Domestic Water Heater Timer Measure, including details on installation rates, energy savings, and peak demand savings. It outlines the measure's description, baseline, and key parameters such as effective useful life and savings ratios.

Table 129: Electric Thermal Storage Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Description Electric thermal storage systems rebated after purchase - Baseline Heating systems without electr...

AI summary This table provides a summary of the Electric Thermal Storage Measure, including parameters such as installation rate, effective useful life, and energy savings. It outlines the baseline heating systems and the measure description, focusing on rebates for electric thermal storage systems.

Table 130: Domestic Water Heater Load Control Measure Summary Parameter Demand Response Reference Measure Description and Identification Measure Direct load control for domestic water heaters with direct installation - Baseline Domestic wa...

AI summary Table 130 summarizes the Domestic Water Heater Load Control Measure, focusing on parameters like participation rates, in-service rates, and energy savings. It outlines details for demand response programs related to domestic water heaters, including available DR capacity and energy savings metrics.

Table 132: Smart Thermostat Load Control Measure Summary Parameter Demand Response Reference Measure Description and Identification Measure Direct load control for smart thermostats - Baseline Smart thermostats without direct load control...

AI summary Table 132 summarizes the Smart Thermostat Load Control Measure, focusing on parameters like in-service rates, energy savings, and DR capacity. It categorizes measures and provides data for different subcategories of smart thermostats.

Table 135: Battery Control Measure Summary Parameter Demand Response Reference Measure Description and Identification Measure Direct load control for batteries - Baseline Battery consumption of participating homes on non-event days General...

AI summary Table 135 outlines a battery control measure under Demand Response, including parameters like participation rate, useful life, and energy savings. The table provides details on electrical energy savings and available DR capacity, but some fields remain unspecified.

Table 137: EV Telematic and Charger Control Measure Summary Parameter Demand Response Reference Measure Description and Identification Measure Direct load control for EV telematics and chargers - Baseline EV telematics and chargers without...

AI summary Table 137 outlines a Demand Response measure involving direct load control for EV telematics and chargers. It includes parameters such as in-service rate, effective useful life, and available DR capacity. The table references details on electrical unitary energy savings and interactive effects factors.

Table 140: Electrical Savings Values for SolarHomes Parameter Symbol Value Reference Modelled Energy Production [kWh] - Varies per project Project documentation, using PV Watts Snow Loss Factor [%] - For panel tilt angles ≥ 25°: 1% Norther...

AI summary Table 140 outlines parameters for calculating electrical savings in SolarHomes projects, including energy production, snow loss factors, adjustment ratios, and unitary savings. Savings are calculated using a 1,086 kWh/kW factor derived from calibrated data, incorporating a 1.009 adjustment ratio from SolarHomes evaluations.

3 Effective Useful Life This section outlines the EUL values used to calculate lifetime energy savings. This section also presents EUL values for demand reduction measures; these values are not used to calculate lifetime energy savings sin...

AI summary This section explains the use of Effective Useful Life (EUL) values for calculating lifetime energy savings and cost-effectiveness ratios. It clarifies that EUL values for demand reduction measures differ from those for demand response measures, which focus on the persistence of demand reduction rather than energy savings.

Table 141: EUL Values for Residential LED Lamps and Fixtures Measure Program Component 2025 Equivalent EUL (years) LED A19 Lamps 9 W Replacing 25 W EPI 1.0 9 W Replacing 29 W 1.0 9 W Replacing 40 W 1.0 9 W Replacing 43 W 1.0 9 W Replacing...

AI summary Table 141 provides Effective Useful Life (EUL) values for various residential LED lamps and fixtures under different programs and components. The EUL values are generally set at 1.0 for most items, with a few exceptions such as ENERGY STAR certified fixtures with motion sensors and solar fixtures, which have higher EUL values.

Table 142: EUL Values and Sources for Non-LED Lighting Residential Measures Measure Name Program Component EUL Value Reference Dehumidifier Replacements ARet 5 ENERGY STAR Calculator, Appliance Magazine Market Research Report, 2011 Calcula...

AI summary Table 142 presents EUL (Effective Useful Life) values and sources for non-LED lighting residential measures, including dehumidifier replacements, ENERGY STAR certified clothes dryers, efficient clothes washers, and efficient washer-dryer combination units. The table provides references from ENERGY STAR, DOE, and DEER for the EUL values assigned to these measures.

2025 DSM Measure Assessment Final Report 129 179 California Public Utilities Commission. DEER 2014. EUL table update, Excel spreadsheet (version 2014) downloadable via READI (last accessed June 16, 2020). 180 Retrieved from Measure Name Pr...

AI summary The document presents a table with various energy efficiency measures, their program components, effective useful life (EUL) values, and references. It includes details for items like thermostatic shower valves, pipe insulation, heat pumps, and solar air heating systems, citing sources such as DEER 2014 and the U.S. Department of Energy.

Measure Name Program Component EUL Value Reference Programmable Thermostats ASFH, Instant Savings, MHEEP 10 GDS, 2007 (Table 1 – Residential Measures; value for residential programmable thermostats) Smart Thermostats for Electrical Heating...

AI summary The text provides a table listing various energy efficiency measures, their associated program components, effective useful life (EUL) values, and references. It includes items like programmable thermostats, smart power controllers, and water heaters, along with their EUL values and supporting documentation.

Table 143: Commercial Measure Assessment Change Log Change Type Section Description Date Update 6.1.4 Lighting Measures For LED Linear Fixtures, LED Linear Lamps, LED Outdoor Fixtures, and LED Directional and Architectural Fixtures, the HO...

AI summary This table outlines updates and new additions to commercial measure assessments, including changes to lighting measures, occupancy sensors, LED nightlights, and the addition of horticultural lighting, as well as updates to heat pump efficiency ratios and interactive effects modifications.

Table 144: Included Commercial Measures Eligible Measures Program Components Lighting LED Lamps SBES LED Linear Fixtures BER-IR, BER-AR, SBES LED Linear Lamps BER-IR, BER-AR, SBES LED Outdoor Fixtures BER-IR, BER-AR, SBES LED Directional a...

AI summary Table 144 outlines eligible commercial measures and their associated program components, including lighting, pumps, space heating, HVAC, and water heating. Each measure is linked to specific program components such as BER-AR, SBES, and Custom, indicating the frameworks or standards they fall under.

Table 145: BER-AR and SBES Interactive Effects (IE) Factors for Non-recessed Indoor Lighting IE Energy IE Demand Building Type Heat Pump Electric Resistance Non-electric or No Heating Heat Electric Non electric Heating and Cooling Heating...

AI summary Table 145 presents interactive effects (IE) factors for non-recessed indoor lighting under BER-AR and SBES across various building types. The table shows energy and demand impact percentages for different heating and cooling configurations, highlighting variations by building type.

Table 149: IE Factors for Lighting Installed in Refrigerators and Freezers Measure IE Factor for Electrical Energy Savings IE Factor for Peak Demand Savings Lighting Installed in Refrigerators 29% 29% Lighting Installed in Freezers 50% 50%...

AI summary Table 149 provides interactive effects (IE) factors for lighting installed in refrigerators and freezers, showing 29% and 50% energy and peak demand savings, respectively. Section 6.1.2 discusses peak demand savings factors, highlighting their importance in energy efficiency analysis.

6.1.3 Adjustment Ratios The adjustment ratios in [Table](#page-127-1) 150 were established through the latest comprehensive impact evaluation for each program. They should be applied for all lighting measures in SBES and BER-AR, except for...

AI summary Adjustment ratios in Table 150 were established through the latest comprehensive impact evaluation for each program and should be applied for all lighting measures in SBES and BER-AR, except for LED roadway lighting measures.

Table 150: Lighting Gross Savings Adjustments Ratios Source Energy Savings Peak Demand Savings Program Component Evaluation Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error BER-AR Lighting Measures (except LED Roadw...

AI summary Table 150 presents Lighting Gross Savings Adjustments Ratios for various lighting measures under different programs, including BER-AR, SBES, and the SBES CDI Pilot. The table includes adjustment ratios and margins of error for energy and peak demand savings, based on evaluation reports from 2019 to 2025.

The equation below is used to determine the unitary savings values of LED lamps for each pairing of old and new wattages. [Table](#page-129-0) 152 below lists the parameters and corresponding values used in the equation and the resulting u...

AI summary The document provides an equation to calculate energy savings from replacing old LED lamps with new ones, based on wattage differences and operating hours. It references a table with parameters and resulting unitary savings values, noting that operating hours are tracked in SBES while values are assumed in the SBES CDI Pilot.

Table 153: Electrical Unitary Peak Demand Savings Values for LED Lamps Type of LED Displaced Wattage (W) Peak Coincidence Factor (%) Unitary Peak Demand Savings Value (W) 9 W Replacing 25 W 16 54% 8.6 9 W Replacing 29 W 20 10.8 9 W Replaci...

AI summary Table 153 presents the electrical unitary peak demand savings values for various LED lamps replacing traditional incandescent bulbs. The table lists the displaced wattage, peak coincidence factor, and unitary peak demand savings value for different LED types and wattages.

[Table](#page-132-0) 155 lists the parameters and corresponding values used in the equation below to calculate unitary energy savings for LED linear fixtures. [ℎ/] - = (( - − )[] × [ℎ/] × 365[/])/1,000[/]

AI summary The document presents a formula for calculating unitary energy savings for LED linear fixtures, using parameters listed in a table on page 132-0. The formula involves variables such as energy consumption differences, hours per day, and annual calculations.

Table 155: Electrical Unitary Energy Savings Values for Linear LED Fixtures Parameter Symbol Value for BER-IR Value for BER AR and SBES Reference Baseline Wattage [W] 𝐵𝑎𝑠𝑒𝑙𝑖𝑛𝑒 𝑊𝑎𝑡𝑡𝑎𝑔𝑒 Fixed baseline based on fixture type and lumen output A...

AI summary Table 155 outlines the parameters used to calculate electrical unitary energy savings for linear LED fixtures, including baseline wattage, new wattage, and hours of operation. The table references Table 156 for baseline wattage values based on lumens output for T8 fluorescent luminaires.

Table 156: Linear LED Fixture Baseline Wattages for BER-IR Subcategory Lumens Output (lm) Baseline Wattage (W) 1 x 4 Luminaires 1,500 – 3,500 61.0 ≥ 3,500 83.3 2 x 2 Luminaires & Retrofit Kits 1,500 – 4,500 61.0 ≥ 4,500 84.0 2 x 4 Luminair...

AI summary Table 156 outlines baseline wattages for various linear LED fixture subcategories under BER-IR. It provides lumens output ranges and corresponding baseline wattages for different luminaires and retrofit kits, which may be relevant for energy efficiency and regulatory considerations.

Table 158 lists the parameters and corresponding values used in the equation below to calculate unitary energy savings for LED linear lamps. $$Energy \, Savings \, \left[\frac{kWh}{yr}\right] \\ = \frac{\left(Baseline \, Wattage \, [W] \ti...

AI summary The text provides a formula for calculating unitary energy savings for LED linear lamps, using parameters such as baseline and new wattage, ballast factor, quantity, and hours of use per day.

Table 158: Electrical Unitary Energy Savings Values for Linear LED Lamps Parameter Symbol Value for BER-IR Value for BER- AR and SBES Reference Baseline Wattage [W] Baseline Wattage Based on fixture type and lumen output Actual Based on sp...

AI summary The table outlines the electrical unitary energy savings values for linear LED lamps, including baseline wattage, new wattage, ballast factor, and hours of operation. It references the Duke Energy Fixture Wattage Table for baseline wattage calculations and provides specific values for different subcategories of LED lamps.

Both subcategories are divided into groups by lumens output to assign the correct baseline wattages, and the baseline technology used for each subcategory differs. Weighted averages of 50% MH and 50% HPS fixture system wattages are used to...

AI summary The text discusses the categorization of outdoor wall-mounted area luminaires based on lumens output to determine baseline wattages. It mentions the use of weighted averages of 50% metal halide (MH) and 50% high-pressure sodium (HPS) fixture system wattages for different types of luminaires, as detailed in Table 162.

Table 164: Directional and Architectural LED Fixture Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identific cation Measure Directional and architectural LED fixtures, rebated in store Directional and archi...

AI summary Table 164 provides a summary of energy savings parameters for directional and architectural LED fixture measures under different rebate programs, including baseline fixtures, energy savings adjustment ratios, and other technical details related to energy efficiency.

Table 165 lists the parameters and corresponding values used in the equation below to calculate unitary energy savings for directional and architectural LED fixtures. $$Energy \ Savings \ \left[\frac{kWh}{yr}\right] = \frac{(Baseline \ Wat...

AI summary The text provides a formula for calculating annual energy savings in kilowatt-hours for LED fixtures, using baseline and new wattage values, along with hours of use per day. This is presented in Table 165, which includes the parameters used in the calculation.

Table 165: Electrical Unitary Energy Savings Values for Directional and Architectural LED Fixtures Parameter Symbol Value for BER-IR Value for BER AR and SBES Reference Baseline Wattage [W] 𝐵𝑎𝑠𝑒𝑙𝑖𝑛𝑒 𝑊𝑎𝑡𝑡𝑎𝑔𝑒 Based on fixture type and lumen...

AI summary Table 165 outlines the electrical unitary energy savings values for directional and architectural LED fixtures under different rebate programs. It provides parameters such as baseline wattage, new wattage, and hours of operation, with specific values for BER-IR, BER-AR, and SBES programs.

[Table](#page-141-0) 168 lists the parameters and corresponding values used in the equation below for occupancy and motion sensors and the resulting unitary values. Energy Savings $$\left[\frac{kWh}{yr}\right]$$ = Connected Wattage (W) × S...

AI summary The text provides a formula for calculating energy savings based on connected wattage, savings factor, OTF, and HOU. It references a table containing parameters and values used in the equation for occupancy and motion sensors.

Summary Table 170 presents a summary of the values used to calculate savings for LED nightlights. The detailed methodology follows.

AI summary Table 170 summarizes the values used to calculate savings for LED nightlights, with a detailed methodology provided in the text.

Table 170: LED Nightlight Measure Summary Parameter SBES CDI Pilot Reference Measure Description and Identification Measure LED nightlights through direct installation N/A Baseline Existing nightlight being replaced, which must be incandes...

AI summary Table 170 provides a summary of the LED nightlight measure under the SBES CDI Pilot program. It includes details such as the measure description, baseline, installation rate, energy savings, and peak demand savings calculations.

Table 171 lists the parameters and corresponding values used in the equation below for LED nightlights and the resulting unitary values. The values for displaced wattages and hours of operation are consistent with the values used by other...

AI summary The document presents an energy savings calculation formula for LED nightlights, using parameters such as old and new wattage and hours of operation. It references the Technical Reference Manual from Pennsylvania and mentions the 2025 DSM Measure Assessment Final Report.

Table 171: Electrical Unitary Energy Savings Values for LED Nightlights Parameter Value Reference Old Wattage [W] 7.0 Assumption based on the typical wattage value of an incandescent nightlight New Wattage [W] 0.3 Wattage value of the LED...

AI summary Table 171 presents electrical unitary energy savings values for LED nightlights, comparing old and new wattage, average displaced wattage, hours of operation, and unitary energy savings in kWh/year. The table includes assumptions and calculations related to energy efficiency improvements.

Table 173 lists the parameters and corresponding values used in the equation below for LED roadway lighting and the resulting unitary values. $$Energy \ Savings \ \left[\frac{kWh}{yr}\right] = \frac{(Old \ Wattage - New \ Wattage)[W] \time...

AI summary The text presents an equation for calculating energy savings from replacing traditional roadway lighting with LED technology, using parameters such as old and new wattage and annual hours of use.

Table 173: Electrical Unitary Energy Savings Values for LED Roadway Lighting Parameter Value Reference Old Wattage [W] Actual Use information in TS New Wattage [W] Actual Use information in TS Hours of Operation [hrs/year] Actual or 4662 C...

AI summary The document presents Table 173, which outlines the electrical unitary energy savings values for LED roadway lighting. It includes parameters such as old and new wattage, hours of operation, and unitary energy savings calculations based on specification data for each rebated unit.

Table 174: Horticultural Lighting Measure Summary BER-AR SBES Parameter Retrofit Retrofit New Construction Reference Measure Description and Identification Measure Description Horticultural lighting rebated after installation - Baseline Ex...

AI summary This section provides a summary of the Horticultural Lighting Measure, focusing on energy savings parameters and retrofit details. It outlines the retrofit rates, effective useful life, and energy savings calculations for different lighting technologies.

Table 175 lists the parameters and corresponding values used in the equation below for horticultural lighting and the resulting unitary values. $$\label{eq:unitary_energy_savings} Unitary_{bounds} \left[\frac{kWh}{yr}\right] = \frac{(W_b[W...

AI summary The text presents an equation for calculating unitary energy savings in horticultural lighting, using parameters such as wattage, quantity, hours of use per year, and an efficiency factor. The equation is part of a table listing parameters and their corresponding values.

Table 175: Electrical Unitary Energy Savings Values for Horticultural Lighting BER-AR SBES Parameter Symbol Reference - Caramotor Cyze. Retrofit Retrofit New Construction 10.0.0 Baseline Wattage [W] W b Actual Actual 1,000 Retrofit: Use in...

AI summary Table 175 presents electrical unitary energy savings values for horticultural lighting, including baseline wattage, new wattage, hours of operation, and energy savings calculations. The table outlines parameters for retrofit and new construction scenarios, referencing technical standards and assumptions for baseline quantities and energy savings.

Summary [Table](#page-148-2) 178 presents a summary of the values used to calculate circulator pump savings. The detailed methodology follows.

AI summary Table 178 summarizes the values used to calculate circulator pump savings, with a detailed methodology provided in the following text.

The electrical energy unitary savings for circulator pumps are calculated using the equation below and savings data from Vermont adapted to Nova Scotia using each jurisdiction's average operating hours. Although the max input power tiers d...

AI summary The document discusses the calculation of electrical energy unitary savings for circulator pumps, using an equation adapted from Vermont data to Nova Scotia, considering differences in average operating hours between the two jurisdictions. The equation and parameters used are outlined in Table 179.

Table 179: Electrical Unitary Energy Savings Values for Circulator Pumps BER-IR Parameters Symbol Max Input Power < 144 W Max Input Power ≥ 144 W and < 575 W Max Input Power ≥ 575 W and < 2,500 W Reference Vermont Average Unitary Energy Sa...

AI summary The table presents electrical unitary energy savings values for circulator pumps in Nova Scotia and Vermont, comparing average operating hours and energy savings calculations. It includes energy savings values for different power ranges and references the Vermont Technical Reference Manual and assumptions for Nova Scotia operating hours.

The unitary demand savings value corresponds to the unitary energy savings divided by the HOU, as presented in the equation below. $$\textit{Unitary Demand Savings} \ [W] = \frac{\textit{Unitary Energy Savings} \ [kWh]}{\textit{HOU} \ [h]...

AI summary The document explains the calculation of unitary demand savings for circulator pumps, using a formula that divides unitary energy savings by the hours of use (HOU), adjusted by a peak coincidence factor (PCF) of 100%. It assumes continuous operation during cold winter days and references the Technical Reference Manual from Efficiency Vermont.

6.3.2 Peak Demand Savings Factors For all HVAC measures, the methodology used to determine peak demand savings is detailed in the measure-specific sections below.

AI summary The section outlines the methodology for determining peak demand savings for HVAC measures, directing readers to measure-specific sections for detailed information.

The electrical unitary energy savings for advanced RTU controls are calculated using the variables defined and listed in the equation below as well as in [Table](#page-155-0) 187 and [Table](#page-156-0) 188 further below. $$\begin{split}...

AI summary The document outlines a formula for calculating electrical unitary energy savings for advanced RTU controls, using variables defined in specific tables. The equation incorporates factors like cooling and heating capacities, efficiency factors, and COP for heating.

Table 187: Electrical Unitary Energy Savings Values for Advanced RTU Controls Parameter Symbol BER-AR Reference Indicator of Cooling in the RTU AC RTU with AC: 1 RTU without AC: 0 - Indicator of Electrical Heating in the RTU ElecHeat RTU w...

AI summary Table 187 presents electrical unitary energy savings values for advanced RTU controls, including parameters such as cooling indicators, COP, and energy savings factors. The table references specification data and external sources like the 2021 Illinois TRM and evaluations from 2016.

The electrical unitary energy savings for smart thermostats for electric baseboards for commercial applications are assumed to be equal to the savings for a residential application because the heating power of controlled thermostats is exp...

AI summary The document discusses the assumption that smart thermostats provide similar energy savings in commercial and residential electric heating systems. It references a formula and studies on central heating systems to estimate 12% savings for smart thermostats, applicable to systems like electric baseboards.

Table 191: Billing Analysis Savings Results for Smart Thermostats for Electrical Heating Systems Jurisdiction Measure Sample Size Heating Consumption Savings Oregon212 Nest thermostats 185 12% (for ASHPs) Bonneville Power Administration213...

AI summary Table 191 presents billing analysis savings results for smart thermostats used with electrical heating systems in Oregon and by the Bonneville Power Administration. The data shows 12% savings in heating consumption for air-source heat pumps (ASHPs) with Nest thermostats, based on sample sizes of 185 and 176, respectively.

[Table](#page-160-0) 192 below presents the variables used for the unitary savings calculation and the resulting value per thermostat. 212 Apex Analytics LLC, Energy Trust of Oregon Nest Thermostat Heat Pump Control Pilot Evaluation , Octo...

AI summary The text references two studies on Nest Thermostats and their energy savings, including a 2014 evaluation by Apex Analytics LLC and a 2016 assessment by the Bonneville Power Administration. A table on page 192 outlines variables used in the unitary savings calculation for thermostats.

Table 192: Electrical Unitary Energy Savings Calculation for Smart Thermostats for Electric Heating Parameter Symbol Value for Electric Baseboard Value for MSHP Value for Electric In-floor Heating Value for Central Heat Pumps Reference Ave...

AI summary Table 192 calculates the energy savings from smart thermostats for different heating systems, including electric baseboard, MSHP, electric in-floor heating, and central heat pumps. It includes parameters like average heating energy consumption, percentage of heating load saved, and the coefficient of performance for each system.

Table 193: Air-source Heat Pumps Less Than 65,000 Btu/h, Measure Summary Parameter BER-AR SBES AMH (prescriptive) AMH (comprehensive) Reference Measure Description and Identific ation Measure s than 65,000 Btu/h used ertified matched syste...

AI summary Table 193 outlines the measure summary for air-source heat pumps less than 65,000 Btu/h, including parameters such as energy savings, peak demand savings, and useful life. It provides details on installation rates, adjustment ratios, and calculation methods for energy and peak demand savings.

The electrical unitary energy savings for ASHPs of less than 65,000 Btu/h (excluding air-to-water) are calculated using the variables defined and listed in the equation[217](#page-162-0) and [Table](#page-162-1) 194 below. $$\Delta kWh = \...

AI summary The document provides a formula for calculating electrical unitary energy savings for air-source heat pumps (ASHPs) with a capacity of less than 65,000 Btu/h (excluding air-to-water). The formula uses variables such as heating capacity (HC), cooling capacity (CC), and factors related to heating and cooling seasonal energy efficiency ratios (HSPF2 and SEER2).

Table 194: Electrical Unitary Energy Savings Values for Air-source Heat Pumps Less Than 65,000 Btu/h Parameter Symbol BER-AR, SBES, AMH (prescriptive) Reference Heat Pump Rated Heating Capacity [kBtu/h] 𝐻𝐶 Actual Use information in TS Heat...

AI summary Table 194 outlines electrical unitary energy savings values for air-source heat pumps under 65,000 Btu/h, including parameters such as heating and cooling seasonal performance factors, full load hours, and energy efficiency ratios. The data is based on the Minnesota TRM and applies to climate zone 4b with an average HDD of 6,956.

220 These full-load hour values are used for MSHPs installed through AMH and for in-unit residential MSHPs installed through BER-AR and SBES. Table 196: Unitary Peak Demand Savings Values for Air-source Heat Pumps Less Than 65,000 Btu/h Pa...

AI summary The document discusses the calculation of unitary peak demand savings values for air-source heat pumps with capacities less than 65,000 Btu/h, including parameters such as heat pump rated heating capacity, coefficient of performance, and peak coincidence factor, and provides a method for calculating peak demand savings.

Table 197: Air-source Heat Pumps Greater Than 65,000 Btu/h, Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure PTHP used over the heating season which must be an AHRI certified matched system, re...

AI summary The table outlines parameters for air-source heat pumps greater than 65,000 Btu/h, including measure descriptions, baseline heating methods, and adjustment ratios for energy and peak demand savings. It also references subsections for detailed calculations and assumptions.

The electrical unitary energy savings for ASHPs greater than 65,000 Btu/h calculated using the variables defined and listed in the equation[222](#page-165-2) and [Table](#page-166-0) 198 below. $$\Delta kWh = \left(HC \times \left[\frac{1}...

AI summary The document discusses the calculation of electrical unitary energy savings for air-source heat pumps (ASHPs) with a capacity greater than 65,000 Btu/h. It references an equation and a table to compute energy savings and cites a technical reference manual from Efficiency Vermont. The text also mentions a 2025 DSM Measure Assessment Final Report.

Table 198: Electrical Unitary Energy Savings Values for Air-source Heat Pumps Greater Than 65,000 Btu/h Parameter Symbol BER-AR, SBES Reference Heat Pump Rated Heating Capacity [kBtu/hr] 𝐻𝐶 Actual Use information in TS Heating Efficiency F...

AI summary Table 198 outlines parameters for calculating electrical unitary energy savings for air-source heat pumps with capacities over 65,000 Btu/h. It includes factors like heating and cooling efficiency, full load hours, and references to the Minnesota TRM for climate-specific data in Duluth, Minnesota, located in climate zone 4b with an average HDD of 6,956.

(6) Dual Enthalpy Economizer Controls

AI summary The document discusses the regulation and implementation of Dual Enthalpy Economizer Controls, focusing on their role in energy efficiency and cost management within Nova Scotia's regulatory framework.

Table 203: HVAC Hotel Occupancy Sensor Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure occupied, rebated after installation Year-round HVAC hotel occupancy sensor which controls electric heati...

AI summary Table 203 provides a summary of HVAC hotel occupancy sensor measures, including energy savings adjustment ratios, effective useful life, and other parameters. It references Subsections 6.3.1 and 3.2 for additional details and mentions Table 204 for electrical unitary energy savings.

(8) High Volume Low Speed Fans

AI summary The section titled '(8) High Volume Low Speed Fans' appears in a Nova Scotia regulatory proceeding document. While no detailed content is provided, the heading suggests a focus on high-volume low-speed fans, potentially within the context of energy efficiency, demand-side management, or appliance standards. Further details are not available in the provided text.

Table 206: High Volume Low Speed Fan Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure CSA / cUL rated high volume low speed (HVLS) fans rebated after installation - Baseline Must replace existi...

AI summary Table 206 summarizes the High Volume Low Speed Fan Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life. The table provides details on installation rates, energy savings calculations, and references to specific subsections for further information.

The electrical unitary energy savings for high volume low speed fans are calculated using the variables defined and listed in the equation[228](#page-172-0) and [Table](#page-172-1) 207 below. $$\Delta kWh = (P_b \times QTY_b - P_e \times...

AI summary The document provides a formula for calculating electrical unitary energy savings for high volume low speed fans using variables defined in an equation and a table. The formula involves baseline and end-use power and quantity values, multiplied by hours of use and divided by 1,000.

Table 208: Unitary Peak Demand Savings Values for High Volume Low Speed Fans Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 0.84 As per Subsection 6.10.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calculation based on specif...

AI summary Table 208 presents unitary peak demand savings values for high volume low speed fans, including a peak coincidence factor of 0.84 and calculations based on specification data for rebated units. The table also references Subsection 6.10.2 for the peak coincidence factor.

6.4.1 Interactive Effects Interactive effects are assumed to be nil for all water heating measures except for hot water insulation measures and heat pump water heaters.

AI summary The analysis assumes no interactive effects for water heating measures, except for hot water insulation and heat pump water heaters, which may have interacting impacts.

Hot Water Insulation Measures For hot water insulation measures, namely pipe insulation and hot water tank wraps, the interactive effects factors are based on engineering calculations to account for the duration of the heating and cooling...

AI summary The document details engineering calculations for hot water insulation measures (pipe insulation and tank wraps), considering heating/cooling seasons, system efficiency, and heat loss. Assumptions include SBES resembling single-family homes and 10% heat loss from exterior walls. Adjustments for heat pump systems use COP values from Federal Energy Efficiency Regulations.

Table 210: Interactive Effects Factors for Water Heating Measures Measure Type of Space Heating Interactive Effects Factors for Energy Savings Interactive Effects Factors for Peak Demand Savings Reference Low-flow Showerheads - 0% 0% Assum...

AI summary Table 210 discusses interactive effects factors for water heating measures, such as pipe insulation and heat pump water heaters, on energy and peak demand savings. It highlights the impact of these measures in different heating scenarios and notes that interactive effects are already included in the savings for heat pump water heaters.

_{WP} + Month Peak\ Hours_{WP} + Month Peak\ Hours_{WP} + Month Peak\ Hours_{WP} + Month Peak\ Hours_{WP} + Month Peak\ Hours_{WP} + Month Peak\ Hours_{WP} + Month Peak\ Hours_{WP} + Month Peak\ Hours_{WP} + Month Peak\ Hours_{WP} + Month...

AI summary The text references a table that lists parameters and values used in equations to calculate the peak demand-to-energy ratio, which is relevant to energy efficiency and demand-side management calculations.

6.4.4 Water Heating Measures

AI summary Section 6.4.4 discusses water heating measures, including programs like the Canada Greener Homes Grant (CGH Grant) and Efficiency Nova Scotia (ENS). It outlines initiatives to promote energy-efficient water heating technologies and their integration into residential and multifamily housing programs.

(1) Low-flow Showerheads

AI summary The document section titled 'Low-flow Showerheads' likely discusses water efficiency measures, potentially under energy efficiency or appliance standards programs, though no detailed content is provided in the excerpt.

Table 213: Low-flow Showerhead Measure Summary Parameter SBES Reference Measure Description and Identification Measure Low-flow sh with direct in nowerheads of nstallation 1.5 GPM, - Baseline Standard flo ow showerhead d - Measure Subcateg...

AI summary This table outlines the parameters for the Low-flow Showerhead Measure, including installation rates, energy savings, and peak demand savings. It provides details on the measure's effectiveness and its impact on energy consumption.

The equations below are used to determine the annual unitary savings values for low-flow showerheads. The reduction in hot water consumption is established by the difference between the base and efficient hot water consumption levels, as p...

AI summary The text provides equations to calculate annual energy savings from low-flow showerheads by comparing base and efficient hot water consumption levels. It outlines the calculation of energy savings based on parameters like gallons per minute, hot water usage time, and efficiency factors.

Table 214: Electrical Unitary Energy Savings Values for Low-flow Showerheads Parameter Symbol Value Reference Proportion of Water Heating Supplied by Electric Resistance Heating %ElectricDHW 100% Electrical energy savings will only be clai...

AI summary Table 214 presents electrical unitary energy savings values for low-flow showerheads, including parameters like baseline and low-flow rates, annual usage, and energy efficiency calculations. It references various sources such as SBES tracking sheets, EPI Program Manuals, and studies like DeOreo et al.

The equations below are used to calculate the annual unitary savings value for faucet aerators. $$DHW \ Savings \ \left[\frac{L}{year}\right] = DHW_{base} \left[\frac{gal}{year}\right] \times \frac{(q_{base} - q_{low})}{q_{base}} \times UC...

AI summary The text provides equations to calculate annual unitary savings for faucet aerators, including parameters such as DHW savings, coefficient of performance, and other factors. Table 217 lists the parameters and resulting savings values.

Table 219: Thermostatic Shower Valve Measure Summary Parameter SBES Reference Measure Description and Identification Measure temperature has been reached, with direct installation Thermostatic shower valves cutting off water after the targ...

AI summary Table 219 summarizes the energy savings associated with thermostatic shower valves under the SBES program. It includes parameters like installation rates, useful life, energy savings, and peak demand-to-energy ratios, with references to specific subsections for detailed calculations.

The equations below are used to determine the annual unitary savings values for thermostatic shower valves. Energy savings are established by calculating the reduction in hot water usage, as presented in the second equation below. $$\begin...

AI summary The text presents equations used to calculate annual energy savings from thermostatic shower valves by reducing hot water usage. The equations consider factors such as hot water reduction, energy per gallon, and efficiency parameters to determine unitary savings values.

Table 221: Pipe Insulation Measure Summary Parameter SBES Reference Measure Description and Identification Measure Added pipe insulation to hot water copper pipes, with direct installation - Baseline No pipe insulation General Parameters I...

AI summary Table 221 provides a summary of the pipe insulation measure, including installation rates, effective useful life, energy savings parameters, and peak demand-to-energy ratios. The table highlights the baseline and measure description, along with references to subsections for detailed calculations.

As presented in [Table](#page-182-1) 222, the annual unitary savings value for pipe insulation was identified through Ontario Power Authority (OPA) 2011[245](#page-182-2) values and was established at 12.7 kWh per linear foot. While this v...

AI summary The annual unitary savings value for pipe insulation was set at 12.7 kWh per linear foot based on OPA 2011 values, assuming similar usage patterns in small business water heating systems as in residential settings.

Table 223: Hot Water Tank Wrap Measure Summary Parameter SBES Reference Measure Description and Identification Measure Hot water tank wrap, with direct installation - Baseline No tank wrap General Parameters Installation Rate 100% See deta...

AI summary Table 223 summarizes the Hot Water Tank Wrap Measure, including its installation rate, effective useful life, and energy savings parameters. The table outlines key metrics such as unitary energy savings, peak demand savings, and interactive effects factors related to energy and peak demand.

The following equations are used to determine the annual unitary savings associated with hot water tank wraps. The energy savings are equal to the difference in heat losses associated with tank circumference $(Q_{tank})$ before and after a...

AI summary The text provides equations and assumptions for calculating annual energy savings from hot water tank wraps. It uses formulas for heat transfer in insulated cylinders and assumes small businesses use residential hot water tanks with a capacity of 60 imperial gallons and a thermal resistance of 1.21 m2·°C/W.

Table 224: Electrical Unitary Energy Savings Values for Hot Water Tank Wraps Parameter Symbol Value Reference Layer 1: Interior Insulation of Tank External Radius of the Layer [m] re 0.300 Giant246 Internal Radius of the Layer [m] ri 0.249...

AI summary Table 224 presents electrical unitary energy savings values for hot water tank wraps, including parameters such as thermal resistance, heat transfer, and energy savings calculations. The table includes references to various sources and assumptions used in the calculations.

Table 225: DHW Heat Pump Water Heater Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Heat pump water heater with an Energy factor greater than 2.3, rebated after installation - Baseline Exis...

AI summary This table outlines the parameters for the DHW Heat Pump Water Heater Measure, including installation rate, effective useful life, and energy savings calculations. It references specific subsections for detailed information on energy and peak demand savings.

The electrical unitary energy savings for heat pump water heaters are calculated based on the difference between the uniform energy factor of an existing electric resistance hot water system and the uniform energy factor of the efficient m...

AI summary The text explains the calculation of electrical unitary energy savings for heat pump water heaters (HPWH) by comparing the uniform energy factor of existing electric resistance systems with that of the efficient measure. It includes mathematical equations and references to a table for variable definitions.

Table 229: Unitary Peak Demand Savings Values for DHW Heat Pump Water Heaters Parameter Symbol BER-AR, SBES Reference Peak Demand-to-Energy Ratio [kW/kWh] PDTER Calculation based on facility characteristics as shown in Table 230 2026 Penns...

AI summary Table 229 and Table 230 provide unitary peak demand savings values for DHW heat pump water heaters and PDTER by facility type, respectively. The tables reference the 2026 Pennsylvania TRM257 and include calculations based on facility characteristics and rebated unit specifications.

6.5.2 Peak Demand Savings Factors For compressed air measures, the peak demand savings factor is assumed to be 77% where it is unknown for the specific project.

AI summary The document specifies that for compressed air measures, a peak demand savings factor of 77% is assumed when project-specific data is unavailable. This assumption is part of a regulatory proceeding analyzing demand-side management factors in Nova Scotia.

6.5.4 Compressed Air Measures

AI summary This section, titled 'Compressed Air Measures,' likely outlines strategies or regulations related to energy efficiency improvements in compressed air systems, which are commonly used in industrial and commercial settings. The context suggests a focus on demand-side management and energy conservation initiatives in Nova Scotia.

Table 231: Compressed Air Leak Repair Measure Summary Parameter BER-AR, Custom Reference Measure Description and Identification Measure Repair leaks in compressed air systems - Baseline - General Parameters Installation Rate 100% See detai...

AI summary Table 231 summarizes the Compressed Air Leak Repair Measure, detailing parameters such as installation rate, effective useful life, and energy savings calculations. It references subsections and other sections for further details on energy savings and peak demand savings.

Table 232: Electrical Unitary Energy Savings Values for Compressed Air Leak Repairs Parameter Symbol Value Reference Size of Leak [cfm] - Actual Project documentation Plant Efficiency [kW/100 cfm] - Actual (If unknown, use 19.7 kWh/100 cfm...

AI summary Table 232 outlines the parameters and calculations for determining electrical unitary energy savings from compressed air leak repairs, including plant efficiency, hours of use, and calculated energy savings.

Table 233: Electrical Unitary Peak Demand Values for Compressed Air Leak Repairs Parameter Symbol Value Reference Peak Coincidence Factor PCF Actual Project Documentation Unitary Peak Demand Savings [kW] 𝑈𝑛𝑖𝑡𝑎𝑟𝑦 𝑆𝑎𝑣𝑖𝑛𝑔𝑠 [𝑘𝑊] Calculated bas...

AI summary Table 233 presents electrical unitary peak demand values for compressed air leak repairs, including parameters such as the peak coincidence factor and unitary savings. The table includes references to project documentation and calculation methods for determining these values.

Table 234: Cycling Air Dryer Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Cycling refrigerated dryers up to 300 cubic feet per minute (CFM) capacity which automatically turn on and off in...

AI summary Table 234 provides a summary of the Cycling Air Dryer Measure, including details such as the measure description, baseline, installation rate, effective useful life, and energy savings parameters. The table outlines how energy savings are calculated based on specification data for each rebated unit.

The electrical unitary energy savings for cycling air dryers are calculated using the variables defined and listed in the equation[258](#page-194-0) and [Table](#page-194-1) 235 below. $$\Delta kWh = 4 \times hp_{comp} \times 0.0087 \times...

AI summary The document provides a formula for calculating electrical unitary energy savings for cycling air dryers, using variables such as horsepower, hours of use, and efficiency factors.

Table 236: Unitary Peak Demand Savings Values for Cycling Air Dryers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF Actual or 0.77 As per Subsection 6.5.2 Hours of Use [hours/year] HOU Actual or 1-shift (8/5) – 2,080 h...

AI summary Table 236 provides unitary peak demand savings values for cycling air dryers, including parameters such as peak coincidence factor, hours of use, and unitary peak demand savings. The table references Efficiency Vermont's Technical Reference User Manual from 2015.

Table 237: Air-entraining Air Nozzle Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Air-entraining air nozzles under 14 CFM at 100 psi - Baseline Hand-held or fixed air nozzles - General Par...

AI summary Table 237 provides a summary of air-entraining air nozzles as a measure, including parameters such as installation rate, effective useful life, and energy savings calculations. The table outlines baseline measures, energy savings parameters, and references to subsections for detailed information.

The electrical unitary energy savings for air-entraining air nozzles are calculated using the variables defined and listed in the equation[260](#page-195-1) and [Table](#page-196-0) 238 below. $$\Delta kWh = (CFM_b - CFM_e) \times COMP \ti...

AI summary The document discusses the calculation of electrical unitary energy savings for air-entraining air nozzles using a specific equation and references a technical manual from Efficiency Vermont. It also mentions a 2025 DSM Measure Assessment Final Report.

Table 238: Electrical Unitary Energy Savings Values for Air-entraining Air Nozzles Parameter Symbol BER-AR, SBES Reference Compressor kW/CFM COMP Modulating w/ BD = 0.32 Load/No Load w/ 1 gal/CFM = 0.32 Load/No Load w/ 3 gal/CFM = 0.30 Loa...

AI summary Table 238 provides electrical unitary energy savings values for air-entraining air nozzles, including compressor efficiency, usage percentages, baseline and efficient nozzle capacities, and annual hours of use. It references the Vermont TRM (2015) and outlines calculations for energy savings.

6.6 Variable Frequency Drives

AI summary Section 6.6 of the regulatory proceeding document addresses Variable Frequency Drives (VFDs). The text is limited to the heading, with no further details provided in the chunk. The section likely discusses VFDs in the context of energy efficiency, demand-side management, or grid-related initiatives, given the broader document's focus on Nova Scotia's energy programs and regulations.

Table 244: VFD Gross Savings Adjustment Ratios Source Evaluation Report Energy Savings Peak Demand Savings Program Component Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error BER-AR 2025 0.951 5.8% 0.514 21.9% 6.6.4 Variabl...

AI summary Table 244 presents VFD Gross Savings Adjustment Ratios, including energy savings and peak demand savings with their respective adjustment ratios and margins of error. Section 6.6.4 discusses the Variable Frequency Drive (VFD) Measure.

(1) ENERGY STAR Pool Pumps

AI summary The document section titled '(1) ENERGY STAR Pool Pumps' introduces a regulatory proceeding topic related to ENERGY STAR-certified pool pumps. While no detailed content is provided in the text, the heading suggests a focus on energy efficiency programs and appliance standards in Nova Scotia.

Table 249: Pool Pump Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® multi-speed and variable frequency drive (VFD) commercial inground pool pumps, rebated after installation - B...

AI summary The table outlines the energy savings parameters for rebated ENERGY STAR® multi-speed and variable frequency drive (VFD) commercial inground pool pumps, comparing them to conventional single-speed pool pumps. It includes details on installation rates, useful life, and energy savings calculations.

The electrical unitary energy savings for solar PV systems installed in commercial, industrial, and agricultural applications are calculated using the variables defined and listed in the equations and tables below. For each solar PV projec...

AI summary The document outlines the methodology for calculating electrical unitary energy savings from solar PV systems in commercial, industrial, and agricultural settings, specifying the use of PV Watts or RETScreen Expert tools and accounting for 14% miscellaneous losses. Systems are limited to 100 kW due to inverter capacity.

Installation Rates Installation rates for solar DHW systems are estimated at 100%.

AI summary The document states that installation rates for solar domestic hot water (DHW) systems are estimated at 100%, indicating full adoption or deployment of this technology in the context of the proceeding.

Table 253: Solar Air Heating Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure CSA approved Solar air heating systems rebated after installation - Baseline Electric space heating (resistance or...

AI summary This table summarizes the parameters for the Solar Air Heating Measure, including installation rates, useful life, and energy savings calculations using RETScreen. The measure involves CSA-approved solar air heating systems rebated after installation, with a baseline of electric space heating.

6.9.1 Interactive Effects For refrigeration measures, interactive effects are considered when reduced heat rejection occurs within the refrigerated space, which in turns reduces the electricity consumption of the refrigeration compressor....

AI summary Interactive effects in refrigeration measures are considered when reduced heat rejection lowers compressor electricity consumption, factored into savings equations via a bonus factor for applicable measures.

(1) Cooler Night Covers and Display Case Strip Curtains

AI summary The document section titled '(1) Cooler Night Covers and Display Case Strip Curtains' appears to focus on energy efficiency measures related to building components, though no further details are provided in the text.

The electrical unitary energy savings for zero-energy doors are calculated using the variables defined and listed in the equation and [Table](#page-13-0) 259 below. $$\Delta kWh = kW_{door} \times BF \times HOU$$

AI summary The text provides a formula for calculating electrical unitary energy savings for zero-energy doors, using variables defined in an equation and a referenced table.

Table 259: Electrical Unitary Energy Savings Values for Zero-energy Doors Parameter Symbol BER, SBES Reference Connected Load of a Typical Reach-in Cooler Door and Frame with Electric Heaters [kW] kWdoor 0.131 Vermont TRM, 2015275 Bonus Fa...

AI summary Table 259 outlines the electrical unitary energy savings values for zero-energy doors, including parameters such as connected load, bonus factor, hours of use, and unitary energy savings. Calculations are based on specification data for each rebated unit.

The electrical unitary energy savings for door heater controls are calculated using the variables defined and listed in the equation and [Table](#page-15-0) 262 below. $$\Delta kWh = kW_{door} \times N_{door} \times ES \times BF \times HOU...

AI summary The document provides a formula for calculating electrical unitary energy savings for door heater controls, using variables such as kW, number of doors, efficiency savings, a buffer factor, and hours of use.

Table 263: Unitary Peak Demand Savings Values for Door Heater Controls Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 1 As per Subsection 6.9.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calculation based on specification da...

AI summary Table 263 outlines unitary peak demand savings values for door heater controls, including parameters such as the peak coincidence factor and unitary peak demand savings. The table provides calculation methods based on specification data for each rebated unit.

Table 264: Evaporator Fan Motor Control Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure The control system rebated after installation: • Controls a minimum of 300 Watts or four evaporator fan...

AI summary This table outlines the parameters for the evaporator fan motor control measure, including energy savings adjustments, installation rates, and useful life. It provides details on how the control system reduces energy use and its impact on peak demand.

The electrical unitary energy savings for evaporator fan motor controls are calculated using the variables defined and listed in the equation and [Table](#page-17-0) 265 below. $$\Delta kWh = kW_{fan} \times n_{fans} \times LRF \times BF \...

AI summary The calculation of electrical unitary energy savings for evaporator fan motor controls is based on an equation involving variables such as fan power, number of fans, load reduction factor, baseline factor, and hours of use, as detailed in Table 265.

Table 265: Electrical Unitary Energy Savings Values for Evaporator Fan Motor Controls Parameter Symbol BER-AR, SBES Reference Connected Load kW of Each Evaporator Fan [kW] kWfan Actual or 0.11 Use information in TS Default: Based on weight...

AI summary The table outlines parameters and values used to calculate electrical unitary energy savings for evaporator fan motor controls, including connected load, load reduction factor, bonus factor, and hours of use. The savings are determined based on specifications for each rebated unit.

The electrical unitary energy savings for intelligent freezer defrost control are calculated using the variables defined and listed in the equation and [Table](#page-19-0) 268 below. $$\Delta kWh = n_{fans} \times kW_{DE} \times SVG \times...

AI summary The text discusses the calculation of electrical unitary energy savings for intelligent freezer defrost control, using a specific equation and referencing a table for variable definitions.

Table 268: Electrical Unitary Energy Savings Values for Intelligent Freezer Defrost Controls Parameter Symbol BER-AR, SBES Reference Number of Evaporator Fans nfans Actual Use information in TS kW of Defrost Element per Evaporator Fan kWDE...

AI summary Table 268 outlines the parameters and values used to calculate electrical unitary energy savings for intelligent freezer defrost controls, including factors like the number of evaporator fans, defrost element kW, and defrost cycle savings. These values are sourced from Vermont TRM and are used in conjunction with Table 269 to calculate peak demand savings.

The electrical unitary energy savings for vertical refrigeration open to closed cooler conversion are calculated using the variables defined and listed in the equation[279](#page-20-1) and [Table](#page-21-0) 271 below. $$\Delta kWh = OCSF...

AI summary The text discusses the calculation of electrical unitary energy savings for converting vertical refrigeration open to closed cooler systems, referencing an equation and a table. It cites a paper from the International Refrigeration and Air Conditioning Conference.

(7) Efficient Refrigeration Compressors (Scroll Refrigeration Compressor)

AI summary The section discusses regulatory considerations for efficient refrigeration compressors, specifically scroll compressors, likely within the context of energy efficiency programs and appliance standards in Nova Scotia.

The electrical unitary energy savings for efficient refrigeration compressor are calculated using the variables defined and listed in the equation[281](#page-22-1) and [Table](#page-23-0) 274 below. $$\Delta kWh = \frac{CAP_{avg,ee} \times...

AI summary The document describes the calculation of electrical unitary energy savings for efficient refrigeration compressors using a specific formula and references a technical manual for further details.

Table 274: Electrical Unitary Energy Savings Values for Efficient Refrigeration Compressors Parameter Symbol BER-AR, SBES Reference Compressor Capacity at Standard Rating Conditions [Btu/h] 𝐶𝐴𝑃𝑎𝑣𝑔,𝑒𝑒 Actual Use information in TS Energy Eff...

AI summary The text presents tables detailing energy efficiency ratios (EER) for baseline and efficient refrigeration compressors in low and medium temperature conditions, along with parameters for calculating energy savings. The data is sourced from the Iowa Utilities Commission's technical reference manual.

The electrical unitary energy savings for brushless DC motors are calculated using the variables defined and listed in the equation[287](#page-28-0) and [Table](#page-28-1) 282 below. $$\Delta kWh = \left(\frac{kW_{output}}{\eta_{base}} -...

AI summary The text provides a formula for calculating electrical unitary energy savings for brushless DC motors, using variables such as output power, efficiency ratios, hours of use, and other factors defined in an equation and table referenced in the document.

Table 282: Electrical Unitary Energy Savings Values for Brushless DC Motors Parameter Symbol Value for BER-AR and SBES Reference Motor Output [kW] kWoutput 0.015 for cases and 0.042 for walk-ins Iowa TRM, 2023 Baseline Motor Efficiency [-]...

AI summary Table 282 outlines the electrical unitary energy savings values for brushless DC motors, including parameters such as motor output, baseline and efficient motor efficiency, hours of use, and coefficient of performance, with references to various technical documents and studies.

The unitary peak demand savings for brushless DC motors are calculated using the variables defined and listed in the equation and [Table](#page-28-4) 283 below, as well as variables from [Table](#page-28-1) 282 above. $$\Delta kW = \left(\...

AI summary The text explains the calculation of unitary peak demand savings for brushless DC motors using a specific formula that incorporates variables from two tables. The formula includes factors such as output power, efficiency ratios, and other coefficients.

Table 283: Unitary Peak Demand Savings Values for Brushless DC Motors Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 1 As per Subsection 6.9.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calculation based on specification dat...

AI summary Table 283 presents unitary peak demand savings values for brushless DC motors, including parameters like the Peak Coincidence Factor (PCF) and calculations based on specification data for rebated units. References include technical documents and reports related to energy efficiency and refrigeration load shapes.

Table 285: Electrical Unitary Energy Savings Values for Refrigerated Vending Machine Controllers Parameter Symbol BER-AR, SBES Reference Rated Power of Connected Equipment [kW] kWrated Actual Use information in TS Hours of Use [h/year] HOU...

AI summary The text presents Table 285, which outlines electrical unitary energy savings values for refrigerated vending machine controllers. The table includes parameters such as rated power, hours of use, percent savings factor, quantity of vending machines, and unitary energy savings. It references the Massachusetts TRM and provides calculation methods for energy savings.

6.10.2 Peak Demand Savings Factors For agriculture measures, peak demand savings are determined by multiplying the wattage by a PCF value of 84%, which was established as part of the 2015 evaluation of BER.[292](#page-30-3) 292 Econoler, B...

AI summary Peak demand savings for agriculture measures are calculated using an 84% Peak Demand Savings Factor (PCF), established during the 2015 evaluation of Business Energy Rebates (BER) by Econoler. This factor is applied by multiplying the wattage of measures by 84%.

(1) Energy Efficient Ventilation and Circulation Fans

AI summary The section titled '(1) Energy Efficient Ventilation and Circulation Fans' introduces a regulatory proceeding topic focused on promoting energy-efficient ventilation and circulation fan technologies, likely within the context of Nova Scotia's energy efficiency programs and demand-side management initiatives.

Summary [Table](#page-32-0) 288 presents a summary of the values used to calculate energy efficient ventilation and circulation fan savings. The detailed methodology follows.

AI summary Table 288 summarizes the values used to calculate energy efficient ventilation and circulation fan savings, with a detailed methodology provided in the following text.

The electrical unitary energy savings for energy efficient ventilation & circulation fans are calculated using the variables defined and listed in the equation and [Table](#page-33-0) 289 below. $$\Delta kWh = \left(\frac{AF_b}{ER_b} \time...

AI summary The text explains the calculation method for electrical unitary energy savings from energy-efficient ventilation and circulation fans using a specific formula and references a table for variables.

The electrical unitary energy savings for zero-energy & low-energy livestock waterers are calculated using the variables defined and listed in the equation and [Table](#page-38-0) 295 below. $$\Delta kWh = (P_b - P_e) Qty HOU/1,000$$

AI summary The text describes the calculation of electrical unitary energy savings for zero-energy and low-energy livestock waterers, using a formula that involves variables such as base power, effective power, quantity, and hours of use.

The electrical unitary energy savings for agriculture heat pads are calculated using the variables defined and listed in the equation and [Table](#page-40-0) 298 below. $$\Delta kWh = (P_b \times Qty_b - P_e \times Qty_e) \times HOU/1,000$$

AI summary The document explains how electrical unitary energy savings for agriculture heat pads are calculated using a specific formula that involves variables such as power before and after, quantity before and after, and hours of use.

$$\Delta kW = (P_b \times Qty_b - P_e \times Qty_e) \times PCF/1,000$$

AI summary The formula calculates the change in kilowatts (ΔkW) based on the difference between baseline and actual power consumption, adjusted by the Peak Demand Savings Factor (PCF). This calculation is relevant for demand-side management and energy efficiency programs.

The electrical unitary energy savings for tractor engine block heater timers are calculated using the variables defined and listed in the equation and [Table](#page-42-0) 301 below. $$\Delta kWh = P_{heater} \times (HOU_b - HOU_e) \times D...

AI summary The document explains the calculation of electrical unitary energy savings for tractor engine block heater timers using a specific formula and references a table for variable definitions.

The electrical unitary energy savings for heat reclaimer units are calculated using the variables defined and listed in the equation and [Table](#page-46-0) 308 below. $$\Delta kWh = COWS \times \frac{MILK}{COW} \times (U_{warm} - U_{cold}...

AI summary The document provides a formula for calculating electrical unitary energy savings for heat reclaimer units, using variables such as COWS, MILK per COW, temperature differences, and efficiency factors.

Table 308: Electrical Unitary Energy Savings Values for Heat Reclaimer Units Parameter Symbol BER-AR, SBES Reference Average Number of Cows Milked per Day COWS Actual Use information in TS Average Amount of Milk Yielded per Cow Annually [L...

AI summary Table 308 presents electrical unitary energy savings values for heat reclaimer units, including parameters such as average milk yield, internal energy of warm and cooled milk, efficiency of heat exchangers and water heaters, and estimated energy savings. The data is sourced from various references, including Agriculture and Agri-Food Canada and Massachusetts Farm Energy.

Table 309: Unitary Peak Demand Savings Values for Heat Reclaimer Units Parameter Symbol BER-AR, SBES Reference Hours of Use [h/year] HOU Actual or 2,920 Use information in TS Peak Coincidence Factor PCF 0.84 As per Subsection 6.10.2 Unitar...

AI summary Table 309 provides unitary peak demand savings values for heat reclaimer units, including parameters such as hours of use, peak coincidence factor, and unitary peak demand savings. The table references specific subsections and calculation methods for determining these values.

Table 310: Milk Pre-cooler Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Milk pre-cooler, rebated after installation - Baseline No existing milk pre-cooler - General Parameters Installation...

AI summary Table 310 provides a summary of the Milk Pre-cooler Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and useful life. The table outlines details related to installation rates, energy savings calculations, and other technical specifications for the measure.

Table 311: Electrical Unitary Energy Savings Values for Milk Pre-Coolers Parameter Symbol BER-AR, SBES Reference Average Number of Cows Milked per Day COWS Actual Use information in TS Average Amount of Milk Yielded per Cow Annually [L/cow...

AI summary Table 311 outlines the parameters and values used to calculate electrical unitary energy savings for milk pre-coolers. It includes details on milk temperature, specific heat capacity, and other factors affecting energy savings. The table references various studies and default values from organizations such as Agriculture and Agri-Food Canada and the Government of Alberta.

(9) VFDs for Milk Vacuum Pumps

AI summary The section discusses Variable Frequency Drives (VFDs) for Milk Vacuum Pumps, likely in the context of energy efficiency or regulatory considerations for agricultural equipment in Nova Scotia.

The electrical unitary energy savings for VFD for milk vacuum pump are calculated using the variables defined and listed in the equation and [Table](#page-51-0) 314 below. $$\Delta kWh = \left(HP \times 0.746 \times \frac{1}{EFF_{motor}} \...

AI summary The document provides a formula for calculating electrical unitary energy savings for a variable frequency drive (VFD) used in a milk vacuum pump. The formula involves variables such as horsepower, motor efficiency, load factor, motor service factor, and hours of use.

Table 314: Electrical Unitary Energy Savings Values for Milk Vacuum Pumps Parameter Symbol BER-AR, SBES Reference Horsepower of Connected Pump Motor HP Actual Use information in TS Conversion from hp to kW - 0.746 Convention Efficiency of...

AI summary Table 314 outlines parameters for calculating electrical unitary energy savings values for milk vacuum pumps, including horsepower, efficiency, load factor, and usage hours. These values are used in conjunction with other tables to determine energy savings from variable frequency drives (VFDs).

Table 315: Unitary Peak Demand Savings Values for Milk Vacuum Pumps Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 0.84 As per Subsection 6.10.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calculation based on specification d...

AI summary Table 315 presents unitary peak demand savings values for milk vacuum pumps, including parameters like the Peak Coincidence Factor and Unitary Peak Demand Savings. These values are calculated based on specification data for each rebated unit and referenced to Subsection 6.10.2.

Summary [Table](#page-52-0) 316 presents a summary of the values used to calculate VFD milk transfer pump savings. The detailed methodology follows.

AI summary Table 316 summarizes values used to calculate VFD milk transfer pump savings, with a detailed methodology provided afterward.

Table 316: VFD Milk Transfer Pump Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure VFD for milk transfer pump with pre cooler installed which must milk at least 75 cows, rebated after installat...

AI summary Table 316 provides a summary of the VFD Milk Transfer Pump Measure, including details on baseline conditions, energy savings adjustment ratios, peak demand savings adjustment ratios, and other parameters related to the measure's implementation and performance.

The electrical unitary energy savings for VFD milk transfer pump are calculated using the variables defined and listed in the equation and [Table](#page-53-0) 317 below. $$\Delta kWh = EF \times COWS$$

AI summary The electrical unitary energy savings for VFD milk transfer pumps are calculated using the equation Δ kWh = EF × COWS, with variables defined in the provided table.

6.11.2 Peak Demand Savings Factor For kitchen measures, peak demand savings are determined by multiplying the wattage by a PCF value of 68%, which was established as part of the 2015 evaluation of BER.[318](#page-53-3) Freezers and refrige...

AI summary The Peak Demand Savings Factor (PCF) for kitchen measures is 68%, derived from the 2015 BER evaluation, while freezers/refrigerators have a 100% PCF. References include Econoler's 2016 report and a Minnesota Technical Reference Manual.

(1) Dishwasher

AI summary The section titled '(1) Dishwasher' appears in a regulatory proceeding document, though no substantive text is provided. It likely relates to energy efficiency, appliance standards, or program evaluation topics given the context of Nova Scotia's regulatory framework.

The electrical unitary energy savings for dishwashers are calculated using the ENERGY STAR Commercial Food Services Calculator using the parameters in [Table](#page-56-0) 321 below.

AI summary The text discusses the calculation of electrical unitary energy savings for dishwashers using the ENERGY STAR Commercial Food Services Calculator and refers to parameters in a table on page 56-0.

Table 321: Electrical Unitary Energy Savings Values for Dishwashers Parameter Symbol BER-AR, SBES Reference Annual Days of Operation [days/year] DAYS Actual Measure specific - use information in TS Average Daily Operation [hours/day] HOU A...

AI summary Table 321 outlines the parameters and data sources used to calculate electrical unitary energy savings values for dishwashers, including operational days, hours, racks washed, and energy and water usage metrics. It references the ENERGY STAR Commercial Food Services Calculator for energy savings calculations.

The electrical unitary energy savings for freezers and refrigerators are calculated using the ENERGY STAR Commercial Food Services Calculator using the parameters in [Table](#page-58-0) 324 below.

AI summary The electrical unitary energy savings for freezers and refrigerators are calculated using the ENERGY STAR Commercial Food Services Calculator with parameters outlined in Table 324.

Summary [Table](#page-59-0) 326 presents a summary of the values used to calculate electrical fryer savings. The detailed methodology follows.

AI summary Table 326 summarizes the values used to calculate electrical fryer savings, with the detailed methodology provided in the following text.

The electrical unitary energy savings for fryers are calculated using the ENERGY STAR Commercial Food Services Calculator using the parameters in [Table](#page-60-0) 327 below.

AI summary The document discusses the calculation of electrical unitary energy savings for fryers using the ENERGY STAR Commercial Food Services Calculator with specific parameters outlined in a referenced table.

Summary [Table](#page-61-0) 329 presents a summary of the values used to calculate electrical griddles savings. The detailed methodology follows.

AI summary Table 329 summarizes the values used to calculate electrical griddles savings, with a detailed methodology provided afterward.

The electrical unitary energy savings for griddles are calculated using the ENERGY STAR Commercial Food Services Calculator using the parameters in [Table](#page-62-0) 330 below.

AI summary The document discusses the calculation of electrical unitary energy savings for griddles using the ENERGY STAR Commercial Food Services Calculator with specific parameters outlined in a referenced table.

Table 330: Electrical Unitary Energy Savings Values for Griddles Parameter Symbol BER-AR R, SBES Reference Annual Days of Operation [days/year] DAYS Actual Measure specific - use information in TS Average Daily Operation [hours/day] HOU Ac...

AI summary Table 330 outlines parameters and values for calculating electrical unitary energy savings for griddles, including operational days, hours, dimensions, and energy efficiency metrics. Energy savings are calculated using the ENERGY STAR Commercial Food Services Calculator, with some values derived from actual measurements or ENERGY STAR defaults.

Summary [Table](#page-63-0) 332 presents a summary of the values used to calculate electrical hot food holding cabinets savings. The detailed methodology follows.

AI summary Table 332 summarizes the values used to calculate electrical hot food holding cabinets savings, with a detailed methodology provided in the document.

The electrical unitary energy savings for hot food holding cabinets are calculated using the ENERGY STAR Commercial Food Services Calculator using the parameters in [Table](#page-64-0) 333 below.

AI summary The document discusses the calculation of electrical unitary energy savings for hot food holding cabinets using the ENERGY STAR Commercial Food Services Calculator and specific parameters outlined in Table 333.

Table 333: Electrical Unitary Energy Savings Values for Hot Food Holding Cabinets Parameter Symbol BER-AR R, SBES Reference Annual Days of Operation [days/year] DAYS Actual Measure specific - use information in TS Average Daily Operation [...

AI summary Table 333 outlines the parameters and methods for calculating electrical unitary energy savings values for hot food holding cabinets, including energy consumption rates and savings calculations using the ENERGY STAR Commercial Food Services Calculator.

The electrical unitary energy savings for ice machines are calculated using the ENERGY STAR Commercial Food Services Calculator using the parameters in [Table](#page-66-0) 336 below.

AI summary The document discusses the calculation of electrical unitary energy savings for ice machines using the ENERGY STAR Commercial Food Services Calculator and parameters outlined in a table on page 66-0.

Summary [Table](#page-67-0) 338 presents a summary of the values used to calculate electrical ovens savings. The detailed methodology follows.

AI summary Table 338 summarizes the values used to calculate electrical ovens savings, with a detailed methodology provided thereafter.

The electrical unitary energy savings for ovens are calculated using the ENERGY STAR Commercial Food Services Calculator using the parameters in [Table](#page-68-0) 339 below.

AI summary The electrical unitary energy savings for ovens are calculated using the ENERGY STAR Commercial Food Services Calculator with specific parameters outlined in Table 339.

Table 339: Electrical Unitary Energy Savings Values for Ovens Parameter Symbol BER-AR R, SBES Reference Annual Days of Operation [days/year] DAYS Actual Measure specific - use information in TS Average Daily Operation [hours/day] HOU Actua...

AI summary Table 339 outlines the parameters and reference sources for calculating electrical unitary energy savings values for ovens, including operational days, size, cooking efficiency, and energy savings. It references the ENERGY STAR Commercial Food Services Calculator for calculations.

Summary [Table](#page-69-0) 341 presents a summary of the values used to calculate electrical steam cooker savings. The detailed methodology follows.

AI summary Table 341 summarizes the values used to calculate electrical steam cooker savings, with a detailed methodology provided in the proceeding document.

The electrical unitary energy savings for steam cookers are calculated using the ENERGY STAR Commercial Food Services Calculator using the parameters in [Table](#page-70-0) 342 below.

AI summary The document discusses the calculation of electrical unitary energy savings for steam cookers using the ENERGY STAR Commercial Food Services Calculator with specific parameters outlined in a referenced table.

The electrical unitary energy savings for demand-controlled kitchen exhaust are calculated using the variables defined and listed in the equation and [Table](#page-72-0) 345 below. ℎ = ×

AI summary The text discusses the calculation of electrical unitary energy savings for demand-controlled kitchen exhaust using specific variables and a referenced table.

Table 345: Electrical Unitary Energy Savings Values for Demand Controlled Kitchen Exhaust Parameter Symbol BER-AR R, SBES Reference Energy Savings Factor [kWh/hp] ESVG 4,423 2026 Pennsylvania TRM319 Total Horsepower of Motor Controlled (ex...

AI summary Table 345 outlines electrical unitary energy savings values for demand controlled kitchen exhaust systems, including parameters such as energy savings factor, total horsepower of the motor, and unitary energy savings calculations. The table references 2026 Pennsylvania TRM319 and TRM for data and calculation methods.

6.12.1 Interactive Effects Interactive effects are assumed to be nil for laundry measures since they usually exhaust heat through outdoor vents and drain water.

AI summary The document assumes no interactive effects for laundry measures due to heat exhaustion through outdoor vents and water drainage, which are considered to minimize synergistic impacts on energy efficiency programs.