Topic:"Energy Efficiency Budgets" in M12780

8 3.6 ENABLING STRATEGIES 9 Enabling Strategies are a foundational component of E1's DSM portfolio. These investments support the development, delivery, and long-term effectiveness of DSM programs by addressing structural, market, and info...

AI summary Enabling Strategies are a key component of E1's Demand-Side Management (DSM) portfolio, aimed at addressing structural, market, and informational barriers. The 2027–2031 DSM Plan includes targeted investments in education, research, development, and market transformation, with adjustments made for affordability and long-term effectiveness.

Table 5: Cost Difference of DSM and Fuel Cost Difference Between DSM & Fuel Year Cost of Fuel as Compared to DSM (Difference $ per kWh) Fuel Cost as % of DSM 2015 0.031 271% 2016 0.029 283% 2017 0.024 229% 2018 0.037 296% 2019 0.040 312% 2...

AI summary Table 5 compares the cost difference between Demand-Side Management (DSM) and fuel over various years, showing that fuel costs are significantly higher than DSM costs, with fuel costs as a percentage of DSM costs increasing over time, except in 2024. Section 4.3 highlights that DSM continues to provide lasting benefits with a short payback period.

DSM is a long-term investment with lasting benefits and considerable lifetime savings, yet the Preferred Plan also contributes to short-term and immediate ratepayer benefits. In the short-term, the Preferred Plan will achieve 435.4 GWh of...

AI summary The Preferred Plan for DSM is highlighted as a long-term investment with immediate and lasting benefits. It will achieve significant energy savings and cost avoidance, with the investment being fully recouped by 2032. The payback analysis shows that the plan is in the best interests of ratepayers due to lower current investment costs and inflation mitigation.

4.5 RATE AND BILL CONSIDERATIONS & RATE AND BILL IMPACT ANALYSIS (RBIA) FOR 2027–2031 E1's RBIA for the Preferred Plan demonstrates that participants in DSM benefit from bill savings. The reductions in energy use and demand achieved by par...

AI summary E1's Rate and Bill Impact Analysis (RBIA) for the Preferred Plan shows that DSM participants benefit from bill savings, with energy efficiency and demand response having positive effects on rates, and solar-PV having minimal impact. These findings are consistent with historical data from 2011 to 2026.

2 6.1 OVERVIEW - 3 The Preferred Plan represents a comprehensive suite of programs and service offerings which will deliver - 4 approximately 435.4 GWh of affordable, incremental net energy savings, 85.0 MW of cumulative system- - 5 peak d...

AI summary The Preferred Plan outlines a comprehensive suite of energy efficiency programs and service offerings that aim to deliver significant energy savings and demand reductions over the 2027–2031 period. It emphasizes affordability, long-term ratepayer benefits, and cost-effectiveness, with a focus on achieving energy efficiency at a lower lifetime unit cost compared to fuel costs.

6.2 HIGHLIGHTS OF THE 2027–2031 PLAN - Key highlights/portfolio insights of the 2027–2031 Preferred Plan include: - portfolio cost-effectiveness result of 2.4 for the Program Administrator Cost (PAC) test - demonstrating that the portfolio...

AI summary The 2027–2031 Preferred Plan highlights a portfolio cost-effectiveness result of 2.4, a $318.75 million investment in DSM resources, and expected lifetime benefits of $682.5 million for participating customers. The plan also includes new components like Mi'kmaw New Home Construction and residential solar-PV for Mi'kmaw communities.

6 Table 8: 2027–2031 DSM Preferred Plan Portfolio Savings and Investment 2027-2031 Portfolio Year Investment ($M) Lifetime Benefits ($ million) First-Year Energy Savings (GWh) Peak Demand Savings (MW) Lifetime Energy Savings (GWh) Low-Inco...

AI summary Table 8 outlines the 2027–2031 DSM Preferred Plan Portfolio Savings and Investment, showing annual investments, energy savings, peak demand reductions, and other metrics related to demand-side management programs in Nova Scotia.

- 5 Table 9: 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) Ava...

AI summary Table 9 presents the investment and savings projections for various residential energy efficiency programs under the 2027–2031 DSM Preferred Plan. The table highlights program components such as efficient product rebates, home energy assessments, and initiatives targeting low-income and equity impacts, detailing investments, lifetime benefits, energy savings, and other metrics.

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.

10. CONCLUSION - Based on the supporting Evidence and Appendices, E1 respectfully requests approval from the Energy - Board for the Preferred Plan and related Purchase Agreement with NS Power. 27 M06733, NSUARB Order, E1 2016–2018 DSM Plan...

AI summary E1 requests approval for the Preferred Plan and related Purchase Agreement with NS Power, emphasizing its affordability and cost-effectiveness. The plan includes energy savings, demand reduction, and system benefits, with a total investment of $318.75 million over five years. E1 claims the application meets the mandatory approval test under the Public Utilities Act.

GLOSSARY OF TERMS Term Definition Incremental annual savings Savings achieved in a single year as a result of energy‑efficiency measures installed or program activity during that year (i.e., one year of impacts). Investment The electric ra...

AI summary The glossary defines key terms related to energy efficiency and demand-side management, including incremental annual savings, investment, lifetime benefits, and lifetime energy savings. These definitions focus on the financial and operational impacts of energy efficiency measures.

11 Table 4: Cumulative DSM Savings and Investment : 2012–2025 Plan as Approved Results Year Investment ($ million) First-Year Energy Savings (GWh) Peak Demand Savings (MW) Available Demand Response Capacity (MW) Low-income & Equity Energy...

AI summary Table 4 provides a detailed breakdown of cumulative demand-side management (DSM) savings and investment from 2012 to 2025, including energy savings, peak demand savings, and expenditures. It compares the approved plan with actual results for each year, highlighting trends in investment and savings over time.

3.2.1 RESOURCE SCENARIO DESIGN In developing the Plan's design approach, E1 considered feedback from the DSMAG indicating limited support for the three design objectives historically used to guide recent DSM Plans: a 50/50 investment DATE...

AI summary E1 revised its DSM Plan design approach based on feedback from the DSMAG, maintaining the annual investment level, adjusting energy savings targets and allocations, and ensuring support for low-income and equity communities. The plan aligns with recommendations from APEX and includes a residential/BNI energy savings split of 29/71, with dedicated low-income savings of 11% of residential savings.

Key observations of the Preferred Plan include: - annual investment for the Preferred Plan is maintained at the 2026 DSM Extension approved investment level of $63.75 million, with no annual inflationary increases to the investment, to sup...

AI summary The Preferred Plan maintains a fixed annual investment of $63.75 million with no inflationary increases, aiming to support affordability. Energy savings have declined due to market shifts and program closures. The plan supports Mi'kmaw communities and shows strong cost-effectiveness with a 114% ROI and a 30-year solar-PV measure life. However, some low-income programs have lower PAC scores.

5 Table 7: 2027–2031 DSM Preferred Plan Portfolio Savings and Investment 2027-2031 Portfolio Year Investment ($M) Lifetime Benefits ($ million) First-Year Energy Savings (GWh) Peak Demand Savings (MW) Lifetime Energy Savings (GWh) Low-Inco...

AI summary Table 7 outlines the projected investment, savings, and benefits of the 2027–2031 DSM Preferred Plan Portfolio, including energy savings, peak demand reduction, and lifetime benefits. The table includes metrics such as investment in millions, energy savings in GWh, and weighted average measure life for various programs.

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 2027–2031 DSM Preferred Plan Savings and Investment by Program Component, detailing investment amounts, energy savings, and other metrics for residential and BNI EE programs, as well as Enabling Strategies.

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 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 low-income and equity impacts based on participation in specific programs. The text references Table 13 and includes some numerical data.

1 Table 10: 2028 DSM Preferred Plan Savings and Investment by Program Component 2028 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Dema...

AI summary Table 10 presents the 2028 DSM Preferred Plan Savings and Investment by Program Component, detailing energy efficiency programs, including investments, benefits, and savings across residential and multifamily housing initiatives, with a focus on energy efficiency and demand response.

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 outlines the 2029 DSM Preferred Plan Savings and Investment by Program Component, including details on investment amounts, energy savings, and other metrics for various residential energy efficiency programs in Nova Scotia.

1 Table 12: 2030 DSM Preferred Plan Savings and Investment by Program Component 2030 Investment ($ million) Lifetime Benefits First Year Energy Lifetime Energy Peak Demand Available Demand Response Solar-PV Generation Weighted Average Prog...

AI summary Table 12 outlines the 2030 DSM Preferred Plan Savings and Investment by Program Component, detailing energy efficiency (EE) programs, enabling strategies (ES), demand response (DR), and solar-PV programs. It includes investment amounts, savings, and other metrics for residential, business, and institutional programs, as well as equity and low-income impacts.

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, detailing investments, benefits, energy savings, and other metrics for various residential energy efficiency programs in Nova Scotia.

ecting the mix of program components and the projected costs and savings associated - with these program components. By comparison, the portfolio unit cost for the 2026 DSM Extension was - $0.49/kWh. - The increase in portfolio unit cost o...

AI summary The document discusses the increase in portfolio unit cost for the 2027–2031 energy efficiency programs, driven by changes in product mix and savings. The shift from low-cost lighting measures to more complex upgrades and the reduction in savings from heat pumps are key factors.

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 presents the projected energy savings, demand savings, and expenditures for the 2027–2031 Demand Side Management (DSM) Preferred Plan across various rate classes. The data includes first-year and lifetime energy savings, peak demand savings, available demand response capacity, and expenditures in millions of dollars.

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.

5 Table 18: 2027–2031 Residential Efficient Product Rebates Performance Indicators Year Investment ($ million) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Participation (products) Lifetime Unit Co...

AI summary Table 18 outlines projected performance indicators for residential efficient product rebates from 2027 to 2031, including investment, energy savings, peak demand savings, participation numbers, and costs. The Program Assessment Criteria (PAC) is defined as a benefit/cost ratio comparing lifetime benefits to DSM investment.

7 Table 32: 2027–2031 Business Energy Rebates Program Component Business Energy Rebates Annual Plan Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (products) 2027 Total 4.1 14.4 2.6 19,063 2028 Total 4.2 14.3 2.6 19...

AI summary Table 32 outlines the 2027–2031 Business Energy Rebates Program Component, detailing annual investments, energy savings, demand savings, and participation numbers for each year from 2027 to 2031.

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.

6 Table 38: 2027–2031 Custom Incentives Performance Indicators Year Investment ($ million) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Participation (participants) Participation (projects) Lifetim...

AI summary Table 38 outlines performance indicators for the BNI Custom Incentives Program from 2027 to 2031, including projected investments, energy savings, peak demand savings, participation numbers, and the Program Administrator Cost (PAC) test. The table provides a detailed overview of the program's expected outcomes and financial metrics over the five-year period.

1 9.4.3 OTHER ENABLING STRATEGIES - 2 The total investment for Other Enabling Strategies activities during the 2027–2031 Plan is $11.7 million. - 3 Table 57 provides a breakdown, by year and area of focus, of the five-year investment and o...

AI summary The total investment for Other Enabling Strategies activities during the 2027–2031 Plan is $11.7 million, with Table 57 providing a breakdown by year and area of focus.

13 DSM Resource Performance Indicators Incidental annual and cumulative energy savings (GWh) from E1's non-targeted programs applicable to low-income and equity customers (reporting also includes incidental low-income and equity participat...

AI summary The section provides an overview of performance indicators for various DSM resources, including energy savings, demand response capacity, solar-PV installations, ratepayer benefits, program spending, customer satisfaction, and program administrator cost test results.

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.

1 Table 1: Projected Direct Expenditures by Focus Area DSM Direct Expenditure ($) Focus Area 2027 2028 2029 2030 2031 Total ($) Demand Response 160,650 178,815 123,175 110,250 111,500 684,390 Demand Flexibility 183,600 204,360 221,715 198,...

AI summary The table outlines projected direct expenditures across various focus areas, including Demand Response, Strategic Electrification, and Market Transformation, from 2027 to 2031. It highlights the financial commitments planned for these initiatives, with total expenditures reaching $2,349,600 over the five-year period.

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 Strategic Electrification 1. Improve cost‑effectiven...

AI summary The focus area of Strategic Electrification aims to improve the cost-effectiveness of electrification programming, advance market readiness, and leverage system insights to evaluate new programs. This is driven by the transition to a cleaner electricity system, with strategic electrification of heating, transport, and industry serving as a major decarbonization pathway.

DATE FILED: March 31, 2026 Page 8 of 8 Attachment 4: Results by Rate Class 2026 Historical Line# Rate and Bill Impacts of DSM on the Residential Class 1 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2...

AI summary The document presents historical data on the rate and bill impacts of Demand Side Management (DSM) on the residential class from 2011 to 2055. It includes metrics such as net incremental energy savings, total annual energy savings, DSM expenditures, and participant activity over time.

DATE FILED: March 31, 2026 Page 2 of 8 Line# Rate and Bill Impacts of DSM on the General Class 1 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 20...

AI summary The table presents the rate and bill impacts of Demand Side Management (DSM) on the General Class over time, including energy savings, expenditures, and participant numbers. It highlights trends in energy savings and participant engagement from 2011 to 2055.

DATE FILED: March 31, 2026 Page 4 of 8 Line# Rate and Bill Impacts of DSM on the Small Industrial Class 1 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 203...

AI summary The document presents a detailed table showing the rate and bill impacts of Demand Side Management (DSM) on the small industrial class over several years, including energy savings, expenditures, number of participants, and average energy savings per participant. The data spans from 2011 to 2055 and includes metrics such as net incremental and total annual energy savings in gigawatt-hours, DSM expenditures in millions of dollars, and participant numbers.

18 Table 1: Full range of avoided cost values used for this analysis CATEGORY YEARS DETAILS Capacity 2011–2014 79 $/kW-yr ($/kW-yr) 2009 IRP refresh (levelized over 2010-2032) 2015–2022 197 $/kW-yr 2014 IRP, Base DSM scenario (levelized ov...

AI summary The text presents Table 1, which outlines the full range of avoided cost values used for analysis across various categories such as capacity, transmission, distribution, energy, and carbon from 2011 to 2055. The values are based on different Integrated Resource Plans (IRPs) and include levelized and actual annual avoided cost streams, with inflation adjustments applied for certain years.

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.

9 10 Table 3: 2027–2031 Alternate Scenario 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) Av...

AI summary The table provides a detailed overview of energy efficiency (EE) and demand response (DR) programs for the 2027–2031 period, including investment, lifetime benefits, energy savings, and program administrator cost test (PAC) data. It highlights the contribution of various programs, such as residential and business EE initiatives, enabling strategies, and solar-PV programs, to overall energy savings and investment.

13 18 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 a...

AI summary The text discusses the methodology for calculating lifetime benefits of energy efficiency, demand response, and solar-PV programs, using net present value of avoided costs. It also outlines how low-income and equity impacts are calculated, including participation from specific programs and the use of the Program Administrator Cost Test (PAC) as a benefit/cost ratio.

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.

1 Table 5: 2028 Alternate Scenario Savings and Investment by Program Component 2028 Investment ($ million) Lifetime Benefits ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Deman...

AI summary Table 5 outlines the 2028 Alternate Scenario Savings and Investment by Program Component, highlighting energy efficiency (EE) programs, enabling strategies (ES), demand response (DR), and solar-PV programs. It provides data on investment, lifetime benefits, energy savings, peak demand savings, and other metrics for residential and business, non-profit, and institutional (BNI) programs, as well as overall portfolio totals.

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 The text presents a table titled '2029 Alternate Scenario Savings and Investment by Program Component' with columns related to investment, benefits, energy savings, and other metrics. However, no data is provided under the 'Residential EE Programs' row, leaving the content incomplete.

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.

Table 8: 2031 Alternate Scenario 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 Demand...

AI summary Table 8 presents the 2031 alternate scenario savings and investment by program component, including energy efficiency (EE), enabling strategies (ES), demand response (DR), and solar-PV programs. It outlines investments, lifetime benefits, energy savings, and other metrics for residential, business, and institutional programs, as well as the Mi'kmaw community initiatives.

2. 2025 PLAN AS APPROVED TARGETS & PORTFOLIO RESULTS 2025 Plan targets are 149.5 GWh of incremental annual net energy savings, 26.3 MW of annual net peak demand savings, 5.3 GWh of energy savings applicable to Affordable Single-family Home...

AI summary The 2025 DSM Plan achieved 87% of its energy savings target and 90% of its peak demand savings target, but fell short of the available capacity target. Residential and BNI programs scaled back participation in 2025, which contributed to lower-than-expected savings, although total spending remained within the approved investment level of $173 million.

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.

1 Table 2: 2025 Participation Participation Results Unit 2023-2026 Plan as Approved 2025 Plan as Approved 2025 Results % of 2025 Results to 2025 Plan as Approved % of 2025 Results to 2023-2026 Plan as Approved Participation Unit Efficient...

AI summary Table 2 outlines the 2025 participation results for various energy efficiency programs under the 2023-2026 plan, showing performance metrics such as participation rates and units rebated. Many programs exceeded their 2025 targets, with some programs achieving over 100% of their planned participation.

n the 2025 Plan, as a significant number of participants completed their projects in order to receive the Canada Greener Homes Grant top-up incentive. At the time of the 2023-2025 DSM Plan development, the impact of the federal program was...

AI summary The 2025 DSM Plan discusses the impact of the Canada Greener Homes Grant on program participation, with unit costs for BNI and other components compared to the 2025 Plan and year-end forecasts. Program costs are managed through participation scaling and incentive adjustments, particularly for small business energy solutions.

14 т. L 13 Table 3: 2025 Unit Cost 2025 First-Year Unit Cost 2025 Plan as Approved ($/kWh) 2025 Year-End forecast ($/kWh) 2025 Results ($/kWh) Program Status2 Efficient Product Rebates 0.51 0.23 0.29 Existing Residential 0.39 0.65 0.70 Res...

AI summary The text presents a table showing unit costs for various energy efficiency programs in 2025, including Efficient Product Rebates and Low-Income programs, with discrepancies between approved, forecasted, and actual costs. The Mi'kmaw Home Energy Efficiency Project's unit cost exceeded the 2025 Plan.

10 Table 4: 2023-2026 DSM Plan Period 2023-2026 DSM Plan Period Forecast Plan Year Energy Savings (GWh) Demand Savings (MW) Available Capacity (MW) Energy Savings applicable to Affordable Single-family Homes, Affordable Multi-family Housin...

AI summary Table 4 presents the 2023-2026 DSM Plan Period forecast, including energy and demand savings, available capacity, and expenditures. The data indicates that actual results for 2023-2025 exceeded or met the approved targets, with some variances noted. The table references filings and approvals by the NSUARB and NSEB.

3.1 2026 Plan as Approved Assessment in 2023, 2024, and to a lesser extent, in 2025. As detailed in E1's 2026 DSM Extension filing, 2026 Plan targets for energy savings (116.0 GWh) and demand savings (18.9 MW) are consistent with E1's expe...

AI summary The 2026 DSM Plan targets 116.0 GWh in energy savings and 18.9 MW in demand savings, reflecting lower expected savings due to market changes and billing analysis updates. The plan includes adjustments from the closure of the Canada Greener Homes Grant and slower program implementation. The investment aligns with the legislated level of $63.75 million.

1 Table 5: 2026 Plan as Approved 2026 Plan as Approved First-Year Energy Savings (GWh) Peak EE Demand Savings (MW) Investment ($ million) Available Capacity (MW) Residential Energy Efficiency Programs Efficient Product Rebates 4.8 0.5 2.5...

AI summary Table 5 outlines the 2026 Plan as Approved, detailing energy savings, peak demand savings, investment amounts, and available capacity for various energy efficiency and demand response programs in Nova Scotia. The plan includes residential, BNI, enabling strategies, and demand response initiatives, with a total investment of $63.75 million and energy savings of 116 GWh.

4 Table 6: 2025 Residential Efficient Product Rebates RESIDENTIAL EFFICIENT PRODUCT REBATES (2025) Residential Efficient Product Rebates Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2025 Results 11.5 0.5 3.3 2025 Plan 1...

AI summary The 2025 Residential Efficient Product Rebates exceeded energy savings targets due to strong performance in the Instant Savings program, particularly in Q1. However, demand savings were lower than expected, influenced by higher uptake of low-demand-saving products and the closure of the Appliance Retirement program.

4 Table 10: 2025 Direct Installation DIRECT INSTALLATION (2025) Direct Installation Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2025 Results 7.9 1.4 6.3 2025 Plan 12.6 2.6 6.8 - Energy and demand savings for Direct Ins...

AI summary The 2025 Direct Installation program achieved energy and demand savings lower than the approved targets, mainly due to the program team managing spending and participation levels to align with the investment level set for the 2023-2025 DSM Plan period.

5. CONCLUSION - In 2025, E1 achieved 129.4 GWh of incremental annual net energy savings (87% of the 2025 Plan - target of 149.5 GWh), 23.6 MW of annual net peak demand savings (90% of the 2025 Plan target - of 26.3 MW), 6.8 MW of available...

AI summary E1 achieved significant energy savings and demand reductions in 2025, meeting most of its 2025 DSM Plan targets. It also exceeded its target for energy savings applicable to affordable housing and the Mi'kmaw Home Energy Efficiency Project. E1 expects to meet its 2023-2026 DSM Plan performance targets and is scheduled to file its Q1 2026 DSM report on May 25, 2026.

1 Table 2: 2025 Residential Efficient Product Rebates Rate Class Results Residential Efficient Product Rebates (2025) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Expenditures ($ million) Housing U...

AI summary Table 2 presents the 2025 Residential Efficient Product Rebates Rate Class Results, showing energy and demand savings, expenditures, and the number of housing units/products across various rate classes. The data includes first-year and lifetime energy savings, peak demand savings, and expenditures in millions of dollars.

9 Table 3: 2025 Existing Residential Rate Class Results Existing Residential (2025) First-Year Lifetime Peak Housing Energy Energy Demand Expenditures Units / Savings Savings Savings ($ million) Products (GWh) (GWh) (MW) (#) Residential/Ch...

AI summary Table 3 presents the 2025 existing residential rate class results, showing energy and demand savings across various categories, along with expenditures and housing units. The data includes savings in gigawatt-hours and megawatts, as well as financial expenditures in millions of dollars.

1 Table 4: 2025 BNI Efficient Product Rebates Rate Class Results BNI Efficient Product Rebates (2025) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Expenditures ($ million) Units Rebated (#) Residen...

AI summary Table 4 presents the 2025 BNI Efficient Product Rebates Rate Class Results, showing energy and demand savings across various rate classes, along with expenditures and number of units rebated. Savings are net of free-ridership and spillover, and expenditures are unaudited.

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 2024 Evaluation Investigate aligning implementation incentives...

AI summary The document outlines the status of implementing the 2022-2023 evaluation recommendations, specifically focusing on aligning incentives with NECB 2020 Tiers. E1 is in progress with this task and anticipates updating the New Construction Program Guide by Q2 2026.

6 Table 1: 2023, 2024, 2025 PAC Results 2023 2024 2025 Program Administrator Cost (PAC) Test Results (including carbon) Plan as Approved PAC Actual PAC Plan as Approved PAC Actual PAC Plan as Approved PAC Actual PAC Efficient Product Rebat...

AI summary This table presents Program Administrator Cost (PAC) results for various energy efficiency and demand response programs in Nova Scotia for the years 2023, 2024, and 2025. It includes both planned and actual costs across different initiatives, such as Efficient Product Rebates, Appliance Retirement, and Demand Response. The data is derived from the 2023-2025 DSM Resource Plan Compliance filing approved by the NSUARB.

4.1 Individual Impact Evaluation Results [Table](#page-24-0) 5 and [Table](#page-25-0) 6 below respectively list the evaluated electrical energy and peak demand savings as well as the corresponding savings tracked by E1 for each program co...

AI summary Table 5 and Table 6 present evaluated electrical energy and peak demand savings, along with tracked savings by E1 for each program component in 2025. Net savings are calculated using the net-to-gross ratio (NTGR), and lifetime savings are based on energy efficiency measures over their effective useful life (EUL). Line loss factors were submitted to the Nova Scotia Utility and Review Board (NSUARB) as part of the 2014 Cost of Service Study Progress Update.

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.

Table 6: Comparison of 2025 Evaluated and Tracked Peak Demand Savings at the Generator a Program Component Tracked Results Evaluated Results Difference DSM Program Annual Gross Savings (MW) Annual Net Savings (MW) Available Capacity (MW) A...

AI summary Table 6 compares the evaluated and tracked peak demand savings at the generator for various programs in 2025. It highlights differences in net savings and available capacity across residential, BNI, and demand response programs, with varying net realization rates.

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 9: 2025 Evaluated GHG Emission Reductions DSM Program Program Component Gross Annual Avoided GHG Emissions in CO2 eq Tonnes Net Annual Avoided GHG Emissions in CO2 eq Tonnes Residential Efficient Appliance Retirement 96 54 Product Re...

AI summary Table 9 presents evaluated GHG emission reductions from various DSM programs in 2025, showing both gross and net annual avoided emissions in CO2 eq tonnes. The data includes contributions from residential and business programs, with specific values for each component such as appliance retirement, efficient product rebates, and home energy assessments.

5.2 Annual Savings Performance by Program Component [Table](#page-37-3) 10 presents E1 planned savings,[19](#page-37-4) evaluated results, and the variances between them.

AI summary Section 5.2 discusses annual savings performance by program component, referencing Table 10 which outlines planned savings, evaluated results, and variances between them.

Table 10: 2025 Planned Net Savings and Evaluated Results Planned Savings Evaluated Results Variance Custom Incentives 26.817 5.112 34.519 6.744 29% 32% Custom 24.160 4.824 30.487 6.372 26% 32% Strategic Energy Management 2.657 0.289 4.031...

AI summary Table 10 outlines the 2025 planned net savings and evaluated results for various energy efficiency and demand response programs. It highlights discrepancies between planned and actual outcomes, with some programs showing significant variances, such as a 62% decrease in demand response capacity.

E1 residential programs achieved 46.819 GWh in net electrical energy savings at the generator and 10.066 MW in net peak demand savings at the generator. Residential electrical energy savings were 35% lower than planned as follows: Resident...

AI summary E1 residential and BNI programs achieved some energy savings but missed peak demand targets. Residential programs had 35% lower energy savings than planned, while BNI programs exceeded energy savings by 6% but fell short on peak demand by 9%. Variations in performance were observed across different sub-programs.

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.

Table 12: Evaluated Net Peak Demand Savings at the Generator, 2020-2025 DSM Peak Demand Savings (MW) Peak Demand Savings (%) Program Program Component 2020 2021 2022 2023 2024 2025 2020 2021 2022 2023 2024 2025 Residential Residential Appl...

AI summary Table 12 evaluates the net peak demand savings from various energy efficiency programs in Nova Scotia from 2020 to 2025, highlighting the contributions of residential, BNI, and overall portfolio programs in reducing peak demand in megawatts and percentages.

CONCLUSIONS AND RECOMMENDATIONS Overall, 2025 evaluated net electrical energy savings and peak demand savings for the E1 DSM portfolio were 129.444 GWh and 23.556 MW respectively above the values tracked by E1, while available DR capacity...

AI summary The 2025 evaluation of the E1 DSM portfolio shows energy and peak demand savings above tracked values, but DR capacity was below. A cross-cutting recommendation calls for reviewing how savings are distributed between DSM-funded and government-funded programs, especially for whole home renovations, to ensure clear and aligned savings calculation approaches.

Table 14: 2025 Recommendations on Residential Program Components No. Recommendation BER – R1 Use the calculated adjustment ratios to track gross electrical energy and peak demand savings moving forward, with the exception of the 0.514 adju...

AI summary This table outlines recommendations for residential program components in 2025, focusing on adjusting ratios for tracking energy and peak demand savings and using updated NTGR values for converting gross savings into net savings for evaluation purposes.

Program Components Bibliographic References Energy Rebates Nova Scotia Power, Total System Emissions, https://www.nspower.ca/clean-energy/air-emissions-reporting (last accessed August 26, 2025). Program Components Bibliographic References...

AI summary The text presents a table listing program components and their corresponding bibliographic references, including reports from Nova Scotia Power, Emera Inc., and the Uniform Methods Project (UMP) from the National Renewable Energy Laboratory. These references pertain to energy efficiency and emissions reporting.

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.

Program Tracked and Evaluated Savings [Table](#page-85-0) 3 below compares E1 tracked electrical energy and peak demand savings to evaluated savings at the generator. The realization rate and NTGR are also presented and correspond to the r...

AI summary The table compares E1 tracked electrical energy and peak demand savings to evaluated savings at the generator, highlighting realization rates and NTGR values, which are calculated as the ratio of net savings to gross savings.

Table 5: 2025 ARet 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 Table 5 outlines the 2025 ARet Evaluation Approach, focusing on calculating both gross and net results through tracking sheet audits and evaluation calculations. It includes research questions related to data accuracy and energy savings, as well as methodologies involving NTGR results and GHG emission reductions.

3.2.5 Evaluated Gross Savings The gross electrical energy and peak demand savings resulting from the retirement of appliances through ARet are listed in [Table](#page-93-0) 6 below. The line loss factors were updated in 2019 and correspond...

AI summary This section discusses the gross electrical energy and peak demand savings from appliance retirements through ARet. Line loss factors were updated in 2019 and submitted to the Nova Scotia Energy Board as part of the 2014 Cost of Service Study Progress Update. Savings are estimated using specific line loss factors for residential and commercial participants.

Table 10: Evaluated 2025 ARet Net Electrical Energy and Peak Demand Savings Appliance Retirement Measure Category Refrigerators Freezers Room Air Conditioners Small Refrigerators Small Freezers Total Electrical Energy Savings Gross Electri...

AI summary Table 10 shows the evaluated 2025 ARet Net Electrical Energy and Peak Demand Savings, indicating that ARet only achieved 9% of its electrical energy and peak demand savings targets. The table includes metrics such as gross and net energy savings, NTGR, line loss factor, and effective useful life.

3.4 Realization Rate [Table](#page-99-1) 11 below compares total ARet tracked and evaluated savings. It also includes the realization rate, representing the ratio of evaluated net savings to tracked net savings, for both electrical energy...

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 presented in Table 11.

Table 12: List of 2025 Rebates by Product Products Offered During Campaigns Rebate Products Offered Year-Round Clothes Washers (qualifying models are on the ENERGY STAR Most Efficient list) $75 Bathroom and Utility Room Fans (no light) (qu...

AI summary Table 12 outlines the 2025 rebate amounts for various energy-efficient products offered by Efficiency Nova Scotia. It includes both year-round and time-limited rebates, with additional information on how Instant Savings is promoted through various media and consumer engagement events.

5.3 Participation History In 2025, 113,696 eligible products were rebated in participating stores across Nova Scotia, a total that represents a decrease of 71% compared to 2024. As presented in [Table](#page-103-1) 13 below, sales of ENERG...

AI summary In 2025, rebate participation in Nova Scotia saw a significant decrease in sales of ENERGY STAR certified LED products, attributed to changes in the Instant Savings program following the 2024 'Lights Out' campaign. However, sales of control products, such as timers and thermostats, increased substantially, contributing the majority of energy savings.

Table 13: Number of Rebated Products Rebated Through Instant Savings, 2024–2025 Product Category 2024 2025 Variation ENERGY STAR Certified Non-A-type LED Lamps 78,539 1,651 -98% ENERGY STAR Certified LED Fixtures a 268,740 23,606 -91% Cont...

AI summary Table 13 shows a significant decline in the number of rebated products through the Instant Savings program from 2024 to 2025, with most categories experiencing a decrease of over 90%, except for Controls, which increased by 255%.

7.2.2 Unitary Energy Savings [Table](#page-108-1) 15 below summarizes the tracked and evaluated electrical energy savings values for the product categories rebated through Instant Savings, which were revised as part of the 2025 DSM MA upda...

AI summary The document discusses revisions to unitary energy savings values for LED products, lighting controls, and smart thermostats as part of the 2025 DSM MA update. Changes are attributed to new baseline assumptions and algorithm updates. The Evaluator also reviewed Amendment 18 to Canada's Energy Efficiency Regulations and found no impact on unitary savings for rebated products.

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 defined as the coldest days (with an on-peak t...

AI summary The document discusses updates to unitary peak demand savings for energy efficiency measures, particularly LED products and lighting controls, as part of the 2025 DSM MA. These updates were made following discussions with the Evaluator and changes to the LED baseline assumption for residential lighting products. The table summarizes the tracked and evaluated savings for rebated 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.

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.

Annual gross savings are based on the evaluated unitary savings values established for each product for which savings were claimed in 2025. These measures also include remaining LED lighting products and dehumidifiers sold in 2024 for whic...

AI summary Annual gross savings for 2025 are calculated using evaluated unitary savings values for products, including remaining LED lighting and dehumidifiers from 2024. Line loss factors of 1.0947 and 1.1466 were used for electrical energy and peak demand savings, respectively, updated in 2019 and submitted to the Nova Scotia Utility and Review Board (now Nova Scotia Energy Board) as part of the 2014 Cost of Service Study Progress Update.

Figure 9: 2025 Instant Savings Tracked and Evaluated Gross Electrical Energy Savings Figure 10: 2025 Instant Savings Tracked and Evaluated Gross Peak Demand Savings As presented in [Table](#page-116-2) 19 below, GHG emission reductions wer...

AI summary The document discusses the calculation of GHG emission reductions based on electricity production in Nova Scotia, using Instant Savings gross savings data from 2025 and applying a Nova Scotia-specific factor.

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.

Table 1: 2025 ARet Corrected Tracked Savings Program Component Results Value Tracked by E1 Corrected Tracked Value Relative Difference Value Unit Value Unit Value ARet Gross Energy Savings at the Generator 0.204 GWh 0.205 GWh 0.61% Gross P...

AI summary Table 1 shows minor differences between tracked and corrected values for ARet in 2025, with the discrepancies mainly attributed to rounding methods used by the Evaluator for peak demand-to-energy ratios and line loss factors. The impact is described as negligible.

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.

DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Installation rate The proportion of incentivized products reported as installed and that remain installed and operating at the time of evaluation. This rate is...

AI summary The text defines key terms related to energy efficiency and program evaluation, including accuracy, installation rate, lifetime energy savings, line loss factor, margin of error, and market effects. These definitions are crucial for understanding the measurement and impact of energy efficiency initiatives.

Table 3: Comparison of 2025 Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Unit Electrical Energy Savings Tracked Savings by E1 1.378 GWh 1.00 1.378 GWh 100% Evaluation Resul...

AI summary Table 3 compares tracked and evaluated savings for various energy efficiency programs in Nova Scotia in 2025, including electrical energy and peak demand savings. The table includes data for programs such as Affordable Multifamily Housing, Affordable Single-family Homes, Efficient Product Installation, Green Heat, and others, with metrics like Net-to-Gross Ratios and Realization Rates.

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.

The annual gross savings at the generator are presented in [Table](#page-170-2) 8 below. The gross electrical energy savings at the generator were estimated by using different line loss factors for each participant based on their rate code...

AI summary The document discusses annual gross savings at the generator, estimating electrical energy savings using updated line loss factors submitted to the Nova Scotia Energy Board (NSEB) as part of Nova Scotia Power's 2014 Cost of Service Study Progress Update. The average effective useful life (EUL) for Affordable Multifamily Housing (AMH) is 16.9 years in 2025.

\ \ Additional savings for non-modelled heat pumps recalculated for the period from April 1 to December 31, 2024. Following a post-evaluation adjustment to the calculation approach, the Evaluator retroactively applied the updated methodolo...

AI summary The text discusses adjustments to savings calculations for non-modelled heat pumps from April to December 2024, recalculations based on a post-evaluation methodology change, and GHG emission reductions using a Nova Scotia-specific factor applied to ASFH gross savings results.

Table 18: Comparison of 2025 ASFH Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Electrical Energy Savings Tracked Savings by E1 6.059 GWh 1.00 6.059 GWh 101...

AI summary Table 18 compares the tracked and evaluated savings for the 2025 Affordable Single-family Homes (ASFH) program, showing electrical energy and peak demand savings in gigawatt-hours (GWh) and megawatts (MW), respectively. The realization rate is 101% for electrical energy savings and 100% for peak demand savings, indicating that the program's savings are slightly overestimated in the electrical energy category.

11.2.7 Evaluated Gross Savings [Table](#page-195-0) 22 and [Table](#page 1-53) 23 below present the annual gross savings results per product category and dwelling for the main EPI offerings. [Table](#page 1-54) 24 further below presents th...

AI summary The document presents annual gross savings results for EPI offerings, showing total electrical energy and peak demand savings at the generator level. Line loss factors, updated in 2019, were used in the calculations and submitted to the Nova Scotia Energy Board (NSEB) as part of the 2014 Cost of Service Study Progress Update.

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 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 188 1,710 113 27 382 Installation Rate (%) 94% 94% 94%...

AI summary The document presents a detailed table of energy savings from LED lamp installations, including metrics such as number of units, installation rates, energy savings, and adjustment ratios. The data is categorized by different types of LED lamps and includes interactive effects and line loss factors for each category.

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) A ir Sealing Pr oducts – Heat Pump Heatir ng Total for Product Category Foam Gaskets (per pack of 10) Door Sweeps Window Air S...

AI summary This table evaluates the 2025 EPI gross electrical energy and peak demand savings per measure for single-family homes. It includes details such as the number of units installed, unitary savings values, and gross energy savings at the meter and generator. The data highlights the effectiveness of various energy efficiency measures in reducing energy consumption and peak demand.

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.

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.

, Air Sealing Products – Hea t Pump Hea ting 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) Total for Apartments Number of Units Number of Units...

AI summary The table presents energy savings data for various energy efficiency products installed in apartments, including installation rates, energy savings, and peak demand savings. It includes metrics like unitary savings value, adjustment ratios, line loss factors, and effective useful life for each product category.

Table 24: Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings Total for Single family Homes Total for Apartments Grand Total Number of Units Number of Units 87,456 3,210 90,666 Installation Rate (%) 91% 92% 91% Number of Uni...

AI summary Table 24 evaluates the 2025 EPI (Efficient Product Installation) program's gross electrical energy and peak demand savings, showing data for single-family homes and apartments. It includes metrics like installation rates, energy savings, and line loss factors, with calculations based on weighted averages for different product types and rate codes.

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.

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.

15.4 Evaluated Gross Savings The annual gross savings for each category of measure installed through Green Heat in 2025 are listed in [Table](#page-32-0) 34 below. Gross savings at the generator were estimated by using the line loss factor...

AI summary The document discusses the evaluation of gross savings from Green Heat measures installed in 2025, estimating savings using line loss factors submitted to the Nova Scotia Energy Board as part of a 2014 study. Line loss factors were updated in 2019 and applied based on rate codes for participants.

Table 51: 2025 Program Overlap Savings Deducted from HEA Overlap Net Electrical Energy Savings at the Generator (GWh) Net Peak Demand Savings at the Generator (MW) Overlap with Green Heat (0.008) (0.009) Overlap with EPI (0.077) (0.013) To...

AI summary Table 51 presents the net electrical energy and peak demand savings from program overlaps in 2025, specifically with the Green Heat and EPI programs, resulting in total savings of -0.085 GWh and -0.021 MW, respectively. Section 19.3.6 discusses the evaluated net savings from these overlaps.

Table 66: 2025 Savings Deductions Program Compone/nt Savings Deduction Year of the Program EUL Savings Deduction to Be Applied in 2025 Wave 1 – High Users Lifetime Savings Deductions Green Heat 2024 Year 2 of 18.0 0.0181 GWh EPI 2024 Year...

AI summary Table 66 outlines the 2025 savings deductions for various programs, including Green Heat 2024 and EPI 2024, with specific values for lifetime and first-year savings deductions. The table also notes that there is no statistically significant higher program participation level in 2025 for certain waves of users.

Table 69: 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 Li...

AI summary Table 69 outlines the participation levels and savings across various residential programs in 2025, including energy savings, GHG emission reductions, and effective useful life for each program category such as AMH, ASFH, EPI, and Green Heat. The table provides data on gross and net savings, highlighting the impact of these programs on energy efficiency and emissions reduction.

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) LED Lamps Product Category Nightlights GU10 7 W Replacing 50 W G25 4.5 W Replacing 40 W E12 5 W Chandeliers Replacing 40 W Number...

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 presents data on LED lamps, including installation rates, energy savings, and peak demand savings, along with factors such as interactive effects and line loss.

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 Reporting Requirements for Different Energy Savings Scenario[s](#page-113-0) 1 Scenarios 1 2 3 4 Change in Overall Electrical Energy Consumption Increase Increase Decrease Decrease Change in Overall Non electrical Energy Cons...

AI summary Table 1 outlines 2025 reporting requirements for various energy savings scenarios, detailing changes in electrical and non-electrical energy consumption, reporting obligations, and equations used to calculate DSM and government-funded savings. The table highlights the rationale for different reporting approaches based on funding sources and energy consumption changes.

Table 1: 2025 MHEEP Corrected Tracked Savings Value Tracked by E1 Corrected Tracked Value Relative Difference Program Component Results Value Unit Value Unit Value MHEEP Gross Electrical Energy Savings at the Generator 0.337 GWh 0.337 GWh...

AI summary Table 1 shows the 2025 MHEEP Corrected Tracked Savings. The tracked and corrected values for gross and net electrical energy savings are the same, but corrected peak demand savings decreased by 2.4% due to the exclusion of three non-DSM-allocated records with no corresponding energy savings.

Evaluation Approach The 2025 evaluation was focused on calculating both gross and net results for the BER program component, including first-year and lifetime electrical energy savings, peak demand savings, and avoided greenhouse gas (GHG)...

AI summary The 2025 evaluation focused on calculating gross and net results for the BER program, including energy savings, peak demand savings, and GHG emissions avoidance, with Table 1 summarizing the evaluation types and methodologies used.

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.

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 programs and measures, including midstream programs, Business Energy Rebates, and Small Business Energy Solutions. These dates are relevant for lighting and fixture replacements and are subject to confirmation through a 2026 market study.

Table 3: Comparison of Tracked and Evaluated 2025 BER Savings at the Generator Gross Savings Net Savings Realization Rate Value Unit Value Unit BER Electrical Energy Savings Tracked Savings by E1 44.659 GWh 0.85 38.065 GWh 106% Evaluation...

AI summary Table 3 compares tracked and evaluated 2025 Business Energy Rebates (BER) savings at the generator level. Tracked savings by E1 and evaluation results are presented for electrical energy and peak demand savings, along with realization rates and net-to-gross ratios.

1.1 BER Description BER provides financial incentives in the form of prescriptive rebates or interest-free financing to business, non-profit, and institutional (BNI) participants to reduce electricity consumption and peak demand in Nova Sc...

AI summary Business Energy Rebates (BER) offer prescriptive rebates and interest-free financing to BNI participants in Nova Scotia to reduce electricity use and peak demand. The program includes Application Rebates (AR) and Instant Rebates (IR), with eligibility criteria based on efficiency standards. In 2025, solar PV rebates were discontinued, rebate levels reduced, and certain technologies (e.g., T8 lighting) became ineligible. BER aimed for 38.451 GWh in energy savings and 7.241 MW in peak demand reduction by 2025.

Table 5: Implementation Status of Past Recommendations for BER # Recommendation Status Comments 2024-BER-R1 Undertake additional research to further validate market evaluation results to establish, no later than Q3, when the LED baseline f...

AI summary The recommendation for additional research on LED baseline timing for BER-IR has been completed. E1 collaborated with the Evaluator to conduct the research and will present the findings in the 2025 DSM Efficient Product Rebates Evaluation Report to be submitted to the Nova Scotia Energy Board on March 31, 2026.

Table 6: 2025 BER 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 calculated for a sample of...

AI summary Table 6 outlines the evaluation approach for the 2025 Business Energy Rebates (BER) program. It includes objectives such as calculating gross results and research questions related to data accuracy, savings calculations, and interactive effect factors. Methodologies include tracking sheet audits, site visits, and calculations using updated lighting interactive effects methodology.

Table 7: 2025 Application Rebates Adjustment Ratios Electrical Energy Savings Peak Demand Savings Measure Category Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error Lighting 1.117 8.3% 1.031 10.4% Heating, Ventilation, and...

AI summary Table 7 presents the 2025 Application Rebates Adjustment Ratios for various measure categories, including lighting and HVAC, with specific adjustment ratios and margins of error for electrical energy and peak demand savings.

Table 8: 2025 BER-AR EUL Values Measure Tracked EUL Evaluated EUL LED Linear Fixtures 1 x 4 Luminaires 11.6 4.8 2 x 2 Luminaires and Retrofit Kits 11.6 4.8 2 x 4 Luminaires and Retrofit Kits 11.6 4.8 Linear Ambient and Low-bay Luminaires 1...

AI summary Table 8 presents the 2025 BER-AR EUL values for various LED lighting measures, comparing tracked and evaluated effective useful life (EUL) values. The evaluated EUL values are used to calculate gross and net lifetime electrical energy savings, with weighted average EUL values of 15.8 and 16.0 years respectively.

3.2.4 Evaluated Gross Savings The savings achieved for each Application Rebates measure category are presented in [Table](#page-163-0) 9 below. Both electrical energy and peak demand savings were revised by applying the adjustment ratios d...

AI summary The document discusses the calculation of evaluated gross savings for Application Rebates measure categories, including the use of adjustment ratios and line loss factors. It references the 2014 Cost of Service Study Progress Update and mentions the use of line loss factors provided by NS Power.

Table 9: Evaluated 2025 Application Rebates Gross Electrical Energy and Peak Demand Savings Measure Category Agriculture Commercial Kitchen HVAC Lighting Motor Pumping Refrigeration Renewable Energy Total Electrical Energy Savings Tracked...

AI summary Table 9 evaluates the 2025 Application Rebates for gross electrical energy and peak demand savings across various measure categories. It includes tracked savings, adjustment ratios, line loss factors, and lifetime savings. The table also notes that adjustment ratios differ from prior evaluations due to prior inclusion in tracked savings.

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.

Table 10: Evaluated 2025 Application Rebates Gross GHG Emission Reductions Total Gross Electrical Energy Savings – at the Generator (GWh) 9.214 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 469...

AI summary Table 10 presents the evaluated gross GHG emission reductions from the 2025 Application Rebates, showing 4,324 tonnes of CO2 eq annually based on 9.214 GWh of electrical energy savings and a Nova Scotia-specific GHG emissions factor of 469.3 tonnes of CO2 eq/GWh.

Net savings are defined as the changes in energy use attributable specifically to Application Rebates. Net savings were estimated by applying the above NTGR values to the evaluated gross electrical energy savings, as illustrated in the fol...

AI summary Net savings from Application Rebates are calculated using NTGR values applied to gross electrical energy savings, resulting in 4,029 tonnes of CO2 eq in annual GHG emission reductions.

Table 13: Evaluated 2025 Application Rebates Net Electrical Energy and Peak Demand Savings Measure Category Agriculture Commercial Kitchen HVAC Lighting Motor Pumping Refrigeration Renewable Generation Total Electrical Energy Savings elect...

AI summary Table 13 presents evaluated 2025 application rebates for net electrical energy and peak demand savings, categorizing them by measure type and including factors like NTGR, line loss, and effective useful life. The table provides a detailed breakdown of energy savings across various sectors and their impact on the generator and meter levels.

[Table](#page-168-1) 14 presents a comparison between the 2025 evaluated energy and peak demand savings and those tracked by E1. It also shows the realization rates, which indicate the ratio of evaluated net savings to tracked net savings,...

AI summary Table 14 compares the 2025 evaluated energy and peak demand savings with those tracked by E1, highlighting realization rates that show the ratio of evaluated net savings to tracked net savings for both energy and peak demand.

Gross Savings Net Savings Realization Value Unit NTGR Value Unit Rate Electrical Energy Savings Tracked Savings by E1 9.302 GWh 0.740 6.884 GWh Evaluated Savings 9.214 GWh 0.932 8.586 GWh 125% Peak Demand Savings Tracked Savings by E1 0.78...

AI summary The table presents gross and net savings, along with realization rates, for electrical energy and peak demand savings tracked by E1 and evaluated by the Evaluator. Higher realization rates are attributed to updated NTGR values applied by the Evaluator.

Table 15: 2025 Instant Rebates Tracked and Evaluated Unitary Electrical Energy Savings for Circulator Pumps Tracked Maximum Input Power Categories Evaluated Maximum Input Power Categories Tracked Unitary Electrical Energy Savings Value (kW...

AI summary Table 15 details the 2025 instant rebates for circulator pumps, showing tracked and evaluated unitary electrical energy savings across different power categories. The table includes tracked and evaluated maximum input power categories and corresponding energy savings in kWh. The section also introduces a discussion on peak demand savings.

Table 17: 2025 Instant Rebates Tracked and Evaluated EUL Values Measure Tracked EUL (years) Evaluated EUL (years) LED Linear Fixtures 1 x 4 Luminaires 11.9 4.8 2 x 2 Luminaires and Retrofit Kits 11.9 4.8 2 x 4 Luminaires and Retrofit Kits...

AI summary Table 17 compares the tracked and evaluated effective useful life (EUL) values for various LED lighting measures under the 2025 instant rebate program. The evaluated EUL values are significantly lower than the tracked values and are used to calculate gross and net lifetime electrical energy savings, resulting in a weighted average EUL of 4.9 years for gross savings.

4.2.6 Evaluated Gross Savings The electrical energy and peak demand savings associated with Instant Rebates were calculated using the unitary savings values (including baseline wattages, the actual wattages of efficient measures, ballast f...

AI summary The document discusses the calculation of electrical energy and peak demand savings from Instant Rebates using data from the 2025 DSM MA, including unitary savings values and line loss factors updated in 2019. These factors were submitted to the Nova Scotia Energy Board as part of the 2014 Cost of Service Study Progress Update.

Table 23: Comparison of 2025 BER Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Value Unit Value Unit Realization Rate Electrical Energy Savings Tracked Savings by E1 44.659 GWh 0.85 38.065 GWh Evaluation Res...

AI summary Table 23 compares tracked and evaluated savings from the 2025 Building Energy Retrofit (BER) program. It shows gross and net savings for electrical energy and peak demand, along with Net-to-Gross Ratios (NTGR) and realization rates for both tracked and evaluated results.

Table 26: Participating Distributors - Average DLC Shares Stocked Lighting Category % DLC Standard % DLC Premium % NOT DLC Certified Linear fixtures (n=3) 55 43 2 Outdoor fixtures (n=3) 48 50 2 High bay fixtures (n=3) 32 67 2 Lighting dist...

AI summary The table shows the percentage of DLC-certified LED fixtures stocked by lighting distributors. After program rebates, DLC Standard-certified fixtures are typically cheaper than non-DLC products. Some distributors report that most of their inventory is DLC-certified, making price comparisons difficult.

e based on projects targeted by a given program (e.g. early replacement) and/or an agreed upon date when it is assumed that LED fixtures is the baseline for all project types (even early replacement). The Table 29 below details the baselin...

AI summary The text discusses the baseline approach and Effective Useful Life (EUL) assumptions for LED fixtures across different jurisdictions, noting that no jurisdiction uses a different baseline approach for LED fixtures based on program type.

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 programs and measures, including Fixtures, Lamps, and New Construction. These dates vary by program and are subject to confirmation through a 2026 market study.

CONCLUSION Table 30 below presents the participation levels, net-to-gross ratios (NTGRs), evaluated gross and net savings at the generator, annual GHG emission reductions, as well as effective useful life (EUL) values for each service and...

AI summary Table 30 presents participation levels, net-to-gross ratios, evaluated gross and net savings, annual GHG emission reductions, and effective useful life values for each service and Efficient Product Rebates as a whole.

Table 30: Overall 2025 Efficient Product Rebates Participation and Evaluated Savings Unit Projects Products 9.214 145.644 0.815 4,324 15.8 GWh GWh MW Tonnes of CO2 eq Years 0.93 0.94 0.90 0.93 8.586 137.476 0.737 4,029 GWh GWh MW Tonnes of...

AI summary Table 30 presents data on the participation and evaluated savings from the 2025 Efficient Product Rebates program. It includes metrics such as GWh, MW, Tonnes of CO2 eq, and Years, along with NTGR values indicating the efficiency of the rebates.

APPENDIX II BER Instant Rebates 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 required for the evaluation were in...

AI summary This appendix details the results of a tracking sheet audit conducted by the Evaluator to verify the completeness and accuracy of data submitted by E1. The audit focused on ensuring consistency in calculation methods for energy and peak demand savings from lighting and pumping measures, as well as overall Instant Rebates.

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 Planning Question Answer Score D1. Before learning about the Business Energy Rebates Program, had your business already decided to install energy-efficient LE...

AI summary This table outlines the free-ridership algorithm for the Business Energy Rebates (BER) Program, focusing on lighting. It includes questions to determine whether businesses had already decided to install energy-efficient LED lighting before participating in the BER Program, and if they considered other lighting options.

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.

The revised savings calculations are based on four adjustments. The first adjustment revised the IE and IEpd values from 1, assuming no heating or cooling in the spaces, to 0.81 and 0.69, respectively, based on electric heating and no cool...

AI summary The text outlines four adjustments made to savings calculations for energy efficiency measures. These include revising IE and IEpd values, adjusting annual hours of use for low-occupancy areas, revising the dimming factor for garage lighting, and adjusting the coincidence factor for stairwell and low-occupancy area lights based on site observations and estimates.

Table 2: Revised Variables for Example Calculation Baseline Measure - New Construction Parameter Value – Measure 1 Value – Measure 2 Value – Measure 3 Source Existing Lamp Quantity 140 20 40 Validated on site Baseline Lamp Wattage (W) 112...

AI summary Table 2 provides a detailed comparison of energy and demand savings calculations for three different measures in a new construction baseline scenario. It includes parameters such as lamp quantities, wattages, hours of operation, and factors like dimming and coincidence. The table calculates annual energy consumption, peak demand, and revised savings for each measure.

Table 1: Overview of Data Collection Activity Descriptor This Instrument Instrument Type Interview guide Estimated Time to Complete 30-40 min Target Audience New Brunswick Participating Lighting Distributors Expected Number of Completes 8...

AI summary This document outlines data collection activities, including an interview guide targeting New Brunswick lighting distributors, with a focus on assessing the lighting market and experience with rebate programs. The research is being conducted by Narrative Research and adapted by Econoler.

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.

- 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.

This appendix summarizes all the recommendations made by the Evaluator as part of the 2025 BER evaluation. Section Recommendations Executive Summary Recommendation #1: Use the calculated adjustment ratios to track gross electrical energy a...

AI summary The appendix outlines two key recommendations from the 2025 BER evaluation. The first suggests using calculated adjustment ratios to track energy and peak demand savings, with exceptions and reassessments planned for specific measure categories. The second recommends using updated NTGR values to convert gross savings into net savings for reporting purposes.

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 demand response and energy efficiency, including adjustment ratio, available demand response capacity, baseline, bias, billing calibration, confidence interval, and demand response. These definitions support the evaluation of energy savings 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.

Table 5: Implementation Status of Past Recommendations for Custom # Recommendations Status Comments 2024-New Construction-R1 Review the peak demand savings script used for projects modelled in eQuest to ensure accurate results and favour a...

AI summary This table outlines the implementation status of two recommendations related to energy efficiency programs. The first recommendation involves reviewing and updating demand savings scripts for consistency across modeling software, currently in progress with implementation expected in 2026. The second recommendation, to amend program guidelines to require M&V for large industrial projects, has been deferred due to low frequency of such projects.

3.2.6 Evaluated Gross Savings Savings for Retrofit are claimed under three defined categories: [9](#page-77-4) (1) Partial savings; (2) final savings for single-year projects completed in 2025; and (3) final savings for multiyear projects...

AI summary The document discusses the evaluation of gross savings for Retrofit projects, categorized into partial savings, single-year projects completed in 2025, and multiyear projects completed in 2025. Adjustment ratios were applied to each category, and results were aggregated to determine overall evaluated gross savings.

Table 9: 2025 Retrofit Adjustment Ratios per Project Category Retrofit Project Category Adjustment Ratio on Electrical Energy Savings (Margin of Error) Adjustment Ratio on Peak Demand Savings (Margin of Error) Regular Retrofit 1.003 (±0.4%...

AI summary Table 9 presents the 2025 retrofit adjustment ratios for different project categories, including Regular Retrofit, Solar PV (using PV Watts and RETScreen), and Compressed Air Leak Audit. Adjustment ratios are provided for electrical energy savings and peak demand savings, along with margins of error. Solar PV projects use 2023 adjustment ratios due to completed savings verification.

For multiyear projects that claimed partial savings in previous years and were completed in 2025, the Evaluator applied the 2025 adjustment ratios to the full savings associated with those projects. To compensate for adjustments to partial...

AI summary The text discusses the evaluation process for multiyear projects completed in 2025, including the application of adjustment ratios and true-up adjustments. It also notes that solar PV projects did not contribute to peak demand savings during Nova Scotia's peak periods and that compressed air leak audit projects used 2021 adjustment ratios due to completed savings verification.

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.

As presented in [Table](#page-80-1) 12 below, GHG emission reductions were calculated by applying the Nova Scotiaspecific factor[12](#page-79-1) for GHG emissions generated by electricity production to Retrofit gross savings. 12 At the tim...

AI summary The document discusses the calculation of GHG emission reductions based on Nova Scotia Power's 2024 emissions data and electricity generation figures. It also mentions line loss factors and EUL values used in retrofit projects, sourced from Nova Scotia Power and Emera Inc.

3.3.4 Evaluated Net Savings Net savings are defined as changes in energy use that are specifically attributable to Retrofit. Net Retrofit impacts are calculated by applying the NTGR value to gross savings as illustrated in the following eq...

AI summary Net savings from Retrofit projects are calculated using the Net-to-Gross Ratios (NTGR) applied to gross savings. The Evaluator used NTGR values for each project category and aggregated results to determine overall net savings. A true-up adjustment was made for multiyear projects completed in 2025, resulting in 6,413 tonnes of CO2 eq in annual GHG emission reductions with an average EUL of 10.6 years.

3.4 Realization Rate [Table](#page-84-1) 17 below compares total 2025 Retrofit tracked and evaluated savings. It also includes the realization rate, representing the ratio of evaluated net savings to tracked net savings, for both electrica...

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 in 2025 Retrofit. A table is referenced to compare total tracked and evaluated savings.

Table 17: Comparison of 2025 Retrofit Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Electrical Energy Savings Tracked Savings by E1 16.032 GWh 0.82 13.121 G...

AI summary Table 17 compares the tracked and evaluated savings from 2025 retrofit programs, focusing on electrical energy and peak demand. Tracked savings by E1 are compared with evaluation results, showing slight differences in gross and net savings, as well as realization rates.

Table 18: Evaluated 2025 P4P Gross Electrical Energy and Peak Demand Savings Partial Savings Claims Final Savings Claimed for Single year Projects Total Number of Projects 5 1 6 Electrical Energy Savings Tracked Gross Electrical Energy Sav...

AI summary Table 18 evaluates the 2025 Pay-for-Performance (P4P) gross electrical energy and peak demand savings, including tracked energy savings, adjustments, and lifetime projections. The data reflects energy savings at both the meter and generator levels, along with line loss factors and useful life estimates.

4.4 Realization Rate A comparison of the electrical energy and peak demand savings values established through this evaluation and those tracked by E1 is presented in [Table](#page-89-2) 22 below. The table also includes the realization rat...

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 in Table 22.

5.2.5 Evaluated Gross Savings The 2025 New Construction gross electrical energy and peak demand savings are presented in [Table](#page-92-1) 23 below. They were obtained by applying the average adjustment ratios of 0.949 to electrical ener...

AI summary The 2025 New Construction gross electrical energy and peak demand savings are calculated using average adjustment ratios of 0.949 and 0.937, respectively, applied to all projects claiming savings. Line loss factors specific to each project, based on rate codes and data from NS Power, are used to determine savings at the generator level.

Final Savings Claimed for Single-Year Projects Total Number of Projects 9 9 Electrical Energy Savings Tracked Gross Electrical Energy Savings – at the Meter (GWh) 0.573 0.573 Adjustment Ratio for Electrical Energy Savings 1.000 1.000 Gross...

AI summary The table presents energy savings data from 9 single-year projects, including electrical energy and peak demand savings at both the meter and generator levels, along with adjustment ratios and line loss factors used in calculations.

7 Overall Savings for Custom A comparison of the electrical energy and peak demand savings values established through this evaluation and those tracked by E1 is presented in [Table](#page-100-1) 33. The realization rate, representing the r...

AI summary The evaluation shows a realization rate of 108% for both energy and peak demand savings, comparing the net savings established through the evaluation with those tracked by E1. This indicates that the actual savings exceeded the evaluated savings.

General Custom Key Findings and Recommendations 2025 Custom - Finding: Custom surpassed the net electrical energy and peak demand savings targets in 2025. Custom achieved 30.487 GWh in net electrical energy savings and 6.372 MW in net peak...

AI summary Custom exceeded 2025 energy savings targets (30.487 GWh and 6.372 MW) but saw reduced participation compared to 2024. Adjustments to savings metrics were applied, with free-ridership levels decreasing for Retrofit and New Construction. Evaluated savings were 8% higher than E1-tracked values.

CONCLUSION Table 39 below presents the participation levels, net-to-gross ratios (NTGRs), evaluated gross and net savings at the generator, annual greenhouse gas (GHG) emission reductions, as well effective useful life (EUL) values for eac...

AI summary The conclusion section references Table 39, which provides data on participation levels, net-to-gross ratios, evaluated savings, GHG emission reductions, and effective useful life values for Custom Incentives program components and the program as a whole.

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.

Table 1: Participant Interview Questionnaire and Free-ridership Algorithm Question Answer Score I would like to understand the impact of the financial incentives offered by Reduced the cost of the energy efficiency measures, significantly...

AI summary The table discusses the impact of financial incentives from Efficiency Nova Scotia on energy efficiency measures and decision-making in building projects. Respondents indicate that incentives significantly reduced costs and influenced decisions, with varying levels of confidence in hiring energy modeling consultants without the incentives.

Table 1: 2025 SEM Corrected Tracked Savings Program Component Result Tracked by E1 Corrected Tracked Value Value Unit Value Unit Relative Difference Gross Electrical Energy Savings at the Generator 4.228 GWh 4.228 GWh -0.01% Gross Peak Dem...

AI summary Table 1 presents the 2025 SEM Corrected Tracked Savings, showing minimal changes in electrical energy and peak demand savings, attributed to adjustments in line loss factors. The tracked values remain largely unchanged across all program components.

APPENDIX XVI SEM Detailed Project Review Adjustments = = Strategic Energy Management Efficiency Nova Scotia Are there changes other than the ECM between the baseline and Does the ECM cause other impacts outside of the measurement Savings A...

AI summary This appendix details the SEM Detailed Project Review Adjustments, focusing on energy savings calculations, peak demand savings, and adjustments. It includes sections for documented savings calculations, evaluator's savings calculations, and summary of adjustments. The document contains placeholders and formulas, such as Energy Adjustment Ratio and Peak Demand Adjustment Ratio, but lacks completed data.

Table 1: 2025 SEM Electrical Energy Savings Adjustments Project Tracked Savings (kWh) Evaluated Savings (kWh) Adjustment Ratio Explanation for Adjustment 5 498,682 498,682 1.000 None. 6 1,191,468 988,035 0.829 To calculate the efficiency o...

AI summary Table 1 presents 2025 SEM Electrical Energy Savings Adjustments for three projects. Project 6 had its savings reduced due to a bin analysis using actual data, while Project 7 had a minor adjustment to account for a new fan motor efficiency. Project 5 showed no adjustment.

Table 1: Summary of 2025 Direct Installation Program Evaluation Program Evaluation Type Component Impact Process Market Methodology Small Business Energy Solutions Condensed - - › Tracking sheet audit › Use of adjustment ratios (ARs) from...

AI summary The 2025 Direct Installation Program Evaluation includes tracking sheet audits, the use of adjustment ratios from 2023 with new interactive effects methodology, and GHG emission reduction calculations. It also involves the application of 2024 lighting interactive effects methodology and a jurisdictional scan for the 2025 BER-AR.

Table 2: Overall 2025 Direct Installation Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit Electrical Energy Savings Units 9.774 GWh 0.80 7.862 GWh Lifetime Elect...

AI summary Table 2 summarizes the 2025 Direct Installation program's participation and savings, showing that it fell short of its electrical energy and peak demand savings targets by 38% and 46% respectively. The program achieved 7.862 GWh in net electrical energy savings and 1.414 MW in net peak demand savings.

Table 4: Type of Evaluation Conducted for SBES, 2025 Program 2025 Program Component Process Market Impact Direct Installation SBES - - Condensed For each program, the Evaluator prepared a DSM evaluation report presenting key findings, elec...

AI summary Table 4 outlines the type of evaluation conducted for the Small Business Energy Solutions (SBES) program in 2025, focusing on direct installation. The Evaluator prepared a DSM evaluation report that includes key findings, first-year and lifetime energy savings, peak demand savings, and avoided greenhouse gas emissions.

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.

Table 6: 2025 SBES Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the average interactive effect factors,...

AI summary Table 6 outlines the 2025 SBES Evaluation Approach, focusing on calculating gross and net results through tracking sheet audits, adjustment ratios, and GHG emission reduction calculations. It addresses research questions related to data accuracy, interactive effects, and the application of baseline methodologies.

Table 16: Overall 2025 Direct Installation Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit SBES Electrical Energy Savings 62,011 Units 9.774 GWh 0.80 7.862 GWh L...

AI summary Table 16 presents the 2025 Direct Installation participation and evaluated savings under the SBES program. The program fell significantly short of its energy savings and peak demand targets, with a 38% shortfall in net electrical energy savings and a 46% shortfall in net peak demand savings.

1.1 Residential DR Description In 2023, E1 officially launched Residential DR. Since the fall of 2020, E1 has implemented several initiatives focused on reducing demand during the Nova Scotia peak period. The Residential DR program compone...

AI summary The Residential Demand Response (DR) program in Nova Scotia, launched by E1 in 2023, offers four pathways for participants to reduce demand during peak periods. Eligibility criteria, incentives, and technical implementation details are outlined, including the role of EPI, Virtual Peaker, and Shifted Energy in program execution.

Table 18: Budget per Jurisdiction Program Administratora Budget Efficiency Nova Scotia 2025/26: $2.84 million BC Hydro Budget 2025-27: $110 million (DR programs for residential, commercial, and industrial customers) $12.8 M forecast for re...

AI summary Table 18 provides a comparison of energy efficiency and demand response program budgets across various jurisdictions, including Efficiency Nova Scotia, BC Hydro, DTE Energy, and others, with specific figures for 2024 and 2025-27.

8.2.4 Evaluated Available DR Capacities [Table](#page-107-2) 33 below presents the evaluated available DR capacity results of BNI DR for 2025. As presented in [Table](#page-107-2) 33, available DR capacity at the generator amounted to 5.94...

AI summary The evaluated available DR capacity for BNI DR in 2025 is presented in Table 33, with a total of 5.941 MW at the generator. This capacity was estimated using weighted average line loss factors based on rate codes and submitted to the Nova Scotia Energy Board as part of the 2014 Cost of Service Study Progress Update.

APPENDIX IV Residential DR Tracking Sheet Audit This document presents the detailed results of the tracking sheet audit performed by the Evaluator, which was aimed at: - › Verifying that all data fields required for the evaluation were inc...

AI summary This appendix details the audit of the residential demand response (DR) tracking sheet conducted by the Evaluator. The audit aimed to verify the completeness and accuracy of data fields and calculations used to evaluate program results, ensuring consistency with previous evaluations.

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.

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.

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.

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 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.

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 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).

Table 72: Non-learning Smart Thermostat for Electrical Heating System Measure Summary Parameter ASFH, Instant Savings EPI Reference Measure Description and Identification Measure Non-learning smart thermostats with programmable schedules t...

AI summary Table 72 provides a summary of the Non-learning Smart Thermostat for Electrical Heating System Measure, including parameters such as installation rates, effective useful life, and energy savings. It outlines energy savings for different heating systems and subcategories, such as single-family homes and apartments.

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.

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.

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.

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.

148 Ad Hoc Recherche, Rapport d'évaluation, Programme : Produits Mieux Consommer – Électroménagers Energy Star (Années 2008 et 2009) , p. 18. 149 The proportions of electric water heating published by NRCan are not consistent and significa...

AI summary The text discusses the use of data from the Efficient Product Installation (EPI) program to determine the proportion of electric water heating, noting inconsistencies in data from Natural Resources Canada (NRCan) and the changes in the EPI program in 2021 that affected data accuracy.

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.

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 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 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.

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](#page-93-1) 121 presents the annual unitary savings values for EPI and for Instant Savings and the source of those values. Table 121: Electrical Unitary Savings Values for Smart Power Controller Audiovisual Equipment Parameter Inst...

AI summary Table 121 presents annual unitary energy savings values for EPI and Instant Savings, with the source cited as NMR Group, 2019166. The table includes parameters such as unitary energy savings in kWh/year for audiovisual equipment.

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 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 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 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 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 139: Solar Photovoltaic System Measure Summary Parameter HEA Reference Measure Description and Identification Measure Solar PV systems of a maximum of 100 kW, rebated after installation - Baseline No solar PV systems General Paramete...

AI summary Table 139 outlines the parameters for Solar Photovoltaic (PV) systems, including installation rates, useful life, and energy savings calculations. The table provides details on the baseline, measure description, and various technical parameters related to electrical savings and demand.

3.1 LED Lamps and Fixtures To establish lifetime energy savings for LED lamps and fixtures, the equipment life is determined using rated lifetimes identified in product specification sheets and annual HOU, as described in the equation belo...

AI summary The document discusses the calculation of equipment life for LED lamps and fixtures using rated lifetimes and annual HOU, and the need to adjust equivalent EUL annually due to regulatory changes affecting baseline shifts over time.

Table 142: EUL Values and Sources for Non-LED Lighting Residential Measures Measure Name Program Component EUL Value Reference Appliances Clotheslines and Outdoor Drying Racks Instant Savings 10 IESO Prescriptive Measures and Assumptions (...

AI summary Table 142 lists effective useful life (EUL) values and sources for non-LED lighting residential measures, including appliance retirements and drying racks. Values are derived from various references such as the IESO Prescriptive Measures and Assumptions List and the ENERGY STAR Calculator.

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 1.1.1(2) Advanced RTU Controls Update savings calculation methodology 2023-03-09 Update 3.1 EUL - LED Lamps and Fixtures Update EUL values and...

AI summary This table documents changes to the Commercial Measure Assessment, including updates to savings calculation methodologies, new measures such as compressed air leak repairs and variable frequency drives, and the removal of the booster pump from BER Instant Rebates. It also outlines the creation of separate residential and commercial reports and the addition of LED roadway lighting and smart thermostats for electric heating.

Table 151: LED Lamp Measure Summary Parameter SBES SBES CDI Pilot Reference Measure Description and Identification Measure Description LED lamps installed with direct installation - Baseline Existing lighting being replaced Measure Subcate...

AI summary Table 151 provides a summary of LED lamp measures, including parameters such as installation rates, energy savings adjustment ratios, peak demand savings adjustment ratios, and unitary energy savings. It outlines differences between the SBES and SBES CDI Pilot programs, as well as reference details for calculations.

Table 154: Linear LED Fixture Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Linear LED fixtures (Luminaires, Retrofit Kits, Linear Ambient and Low bay Luminaires), rebated in store Li...

AI summary Table 154 provides a summary of linear LED fixture measures, including descriptions, baseline comparisons, and energy savings adjustment ratios. It outlines parameters such as energy savings, peak demand savings, and interactive effects factors for different types of fixtures.

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 157: Linear LED Lamp Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Linear LED lamps, rebated in store Linear LED lamps, rebated after installation See Table 274 for BER-IR basel...

AI summary Table 157 provides a summary of linear LED lamp measures, including baseline parameters, energy savings adjustment ratios, and interactive effects factors for energy and peak demand savings. It outlines the differences between BER-IR, BER-AR, and SBES measures.

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.

Table 160: Outdoor LED Fixture Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Outdoor LED fixtures, rebated in store Outdoor LED fixtures, rebated after installation See Table 162 and...

AI summary Table 160 provides a summary of the Outdoor LED Fixture Measure under the Business Energy Rebates (BER) program. It outlines parameters such as baseline lighting types, energy savings adjustment ratios, peak demand savings ratios, and other technical details for both BER-IR and BER-AR programs, referencing specific subsections and studies for further information.

Table 161: Electrical Unitary Energy Savings Values for Outdoor 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 output Actual IR: See...

AI summary Table 161 outlines the electrical unitary energy savings values for outdoor LED fixtures, including baseline wattage, new wattage, and hours of operation. The table provides different values for BER-IR, BER-AR, and SBES, with references to other tables and specification data for calculations.

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.

Lumens Range MH Baseline Fixture Wattage (W) HPS Baseline Fixture Wattage (W) Weighted Average Baseline Wattage (W) ≥ 300 and < 2,000 43 46 44.5 ≥ 2,000 and < 5,000 95 95 95.0 ≥ 5,000 and < 15,000 295 250 272.5 ≥ 15,000 and < 25,000 458 46...

AI summary The text presents tables comparing baseline wattages for different lumens ranges of metal halide (MH) and high-pressure sodium (HPS) fixtures, used for calculating energy savings in the Business Energy Rebates – Instant Rebates (BER-IR) program. These tables help in selecting efficient LED fixtures based on required light output.

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: 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 166: Directional and Architectural LED Fixture Baseline Wattages for BER-IR Category Lumens Baseline Wattage (W) Track or Mono-point Directional Luminaires ≥ 250 60.4 Wall-wash Luminaires 517 - 1199 50.0 ≥ 1,200 100 In-service Rate

AI summary Table 166 outlines baseline wattages for directional and architectural LED fixtures under the Business Energy Rebates – Instant Rebates (BER-IR) program. The table includes categories such as Track or Mono-point Directional Luminaires and Wall-wash Luminaires, along with their respective lumens and baseline wattage values.

Table 167: Occupancy/Motion Sensor Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Occupancy/Motion sensors, rebated in store Occupancy/Motion sensors, rebated after installation - Base...

AI summary Table 167 provides a summary of occupancy/motion sensor measures and their associated energy savings parameters, including adjustment ratios, effective useful life, and unitary energy savings for different rebate programs such as BER-IR, BER-AR, and SBES.

Table 168: Electrical Unitary Energy Savings Values for Occupancy/Motion Sensors Parameter Type of Occupancy Sensor Value for BER-IR Value for BER AR and SBES Reference Connected Wattage (W) Interior 110 Actual Average connected wattage fo...

AI summary Table 168 provides electrical unitary energy savings values for occupancy/motion sensors based on data from 2021 to 2023, including connected wattage, savings factors, and hours of operation. The values are derived from Efficiency Vermont TRM and program data, with specific exceptions for exterior sensors.

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: 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 172: LED Roadway Lighting Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure LED, DLC Premium qualified roadways lighting with a minimum efficacy of 150 lm/W, with advanced dimming based o...

AI summary Table 172 outlines the LED roadway lighting measure summary, including details such as the measure description, baseline, installation rate, effective useful life, and energy savings parameters. It specifies that the measure involves LED, DLC Premium qualified roadway lighting with a minimum efficacy of 150 lm/W, and provides calculations for energy savings and peak demand savings.

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: 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.

Table 176: Unitary Peak Demand Savings Values for Horticultural Lighting BER-AR SBES Parameter Symbol Retrofit Retrofit New Construction Reference Peak Coincidence Factor [-] PCF Actual Actual Use information in TS Energy Savings Interacti...

AI summary Table 176 presents unitary peak demand savings values for horticultural lighting, including parameters such as peak coincidence factor, energy savings interactive effects factor, and conversion factor. The table outlines calculation methods for retrofit and new construction scenarios based on project data and technical references.

Table 177: Pump Gross Savings Adjustment Ratios Source Energy Savings Peak Demand Savings Program Component Evaluation Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error BER-AR 2025 0.951 5.8% 0.514 21.9% 6.2.4 Pump M...

AI summary Table 177 presents Pump Gross Savings Adjustment Ratios for the BER-AR program component in 2025, showing an energy savings adjustment ratio of 0.951 with a 5.8% margin of error and a peak demand savings adjustment ratio of 0.514 with a 21.9% margin of error. Section 6.2.4 discusses Pump Measures.

Table 178: Circulator Pump Measure Summary Parameter BER-IR, BER-AR, SBES Reference Measure Description and Identification Measure Variable speed electronically commutated motor (ECM) circulator pumps, rebated in store - Baseline Single-sp...

AI summary Table 178 provides a summary of circulator pump measures, including details on energy savings, peak demand savings, and installation rates for different rebate programs. It outlines parameters such as energy savings adjustment ratios, effective useful life, and unitary energy savings for various pump categories.

Table 180: Unitary Peak Demand Savings Values for Circulator Pumps BER-IR Parameters Max Input Power < 144 W Max Input Power ≥ 144 W and < 575 W Max Input Power ≥ 575 W and < 2,500 W Reference Average Demand Savings [kW] 0.0675 0.0953 0.12...

AI summary Table 180 presents unitary peak demand savings values for circulator pumps based on different input power ranges, with reference to the 2023 Vermont TRM. The table includes average demand savings, peak coincidence factor, and calculated unitary peak demand savings.

Table 181: Booster Pump Measure Summary Parameter BER-AR SE BES Reference Measure Description and Identification Measure High efficiency rebated after i / booster pumps nstallation - Baseline Existing boost er pumps General Parameters Inst...

AI summary Table 181 provides a summary of the Booster Pump Measure, including parameters such as installation rates, energy savings adjustment ratios, and effective useful life. It references the Technical Reference Manual (TRM) and includes details on energy and peak demand savings calculations.

Table 182: Electrical Unitary Energy Savings Values for Booster Pumps Parameter Symbol BER-AR, SBES Reference Rated Horsepower of the New Booster Pump or Pumping System [HP] 𝐻𝑃𝑒𝑒 Specification data for each system Tracking sheet Reduction...

AI summary Table 182 provides electrical unitary energy savings values for booster pumps, including parameters like rated horsepower, energy savings per horsepower, and annual energy savings calculations. It references the 2024 Hawaii TRM199 and mentions calculation methods based on specification data.

Table 183: Unitary Peak Demand Savings Values for Booster Pumps Parameter Symbol BER-AR, SBES Reference Annual Unitary Demand Savings per Rated Horsepower from the Use of a VFD Booster Pump [W/HP] - 172 2024 Hawaii TRM200 Annual Unitary De...

AI summary This table provides unitary peak demand savings values for booster pumps, including annual demand savings per rated horsepower and a peak coincidence factor derived from evaluations of custom retrofit projects. The data references the 2024 Hawaii TRM and includes calculations based on installed system specifications.

6.3.3 Adjustment Ratios The adjustment ratios in [Table](#page-152-2) 184 were established through the latest comprehensive impact evaluation for each program. They should be applied for all HVAC measures in SBES and BER-AR.

AI summary Adjustment ratios in Table 184 were established through the latest comprehensive impact evaluation for each program and should be applied to all HVAC measures in SBES and BER-AR.

Table 184: HVAC Gross Savings Adjustment Ratios Source Energy Savings Peak Demand Savings Program Component Evaluation Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error BER-AR 2025 1.006 3.3% 1.027 8.5% SBES 2023 0.9...

AI summary Table 184 presents HVAC Gross Savings Adjustment Ratios for the BER-AR and SBES programs, including energy savings, peak demand savings, and their respective margins of error. Section 6.3.4 discusses HVAC measures in detail.

Table 185: Electric Thermal Storage Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure load, rebated after installation Electric thermal storage systems to reduce peak demand space heating - Base...

AI summary Table 185 outlines the Electric Thermal Storage Measure Summary, detailing parameters for BER-AR and SBES, including installation rates, energy savings adjustment ratios, and effective useful life. It also references subsections in the Technical Reference Manual for additional details on energy and peak demand savings.

Table 186: Advanced RTU Control Measure Summary Parameter BER-AR Reference Measure Description and Identification Measure Advanced RTU controls that include demand-controlled ventilation (DCV) and an optional variable frequency drive (VFD)...

AI summary Table 186 provides a summary of the Advanced RTU Control Measure, including details on energy savings adjustment ratios, peak demand savings adjustment ratios, and other parameters related to the Business Energy Rebates – After Installation program. The table outlines technical specifications and references for calculations.

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.

Table 189: Unitary Peak Demand Savings Values for Advanced RTU Controls Parameter Symbol BER-AR Reference Demand Savings Factor [kW/hp] 𝐷𝑆𝑉𝐺 0.252 2025 Massachusetts Peak Coincidence Factor [-] 𝑃𝐶𝐹 1.0 TRM211 Conversion Factor [W/kW] - 1,0...

AI summary Table 189 presents unitary peak demand savings values for advanced RTU controls, including parameters such as demand savings factor, peak coincidence factor, and conversion factor. The table references a 2025 Massachusetts Technical Reference Manual and includes a calculation method for unitary peak demand savings based on specification data for each rebated unit.

Table 190: Smart Thermostat for Electric Heating Measure Summary Parameter BER-AR, BER-IR, SBES Reference Measure Description and Identification Measure Smart thermostats for electric baseboards, in floor radiant heating, and heat pumps, r...

AI summary This table outlines the Smart Thermostat for Electric Heating Measure Summary, detailing parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and unitary energy savings for various heating systems.

Table 201: Dual Enthalpy Economizer Control Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Dual enthalpy economizer controls which must be installed on new equipment that is also eligible for...

AI summary Table 201 outlines the Dual Enthalpy Economizer Control Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life. The table provides details on how energy and peak demand savings are calculated based on specification data for each rebated unit.

Table 202: Electrical Unitary Savings Values for Dual Enthalpy Economizer Controls Parameter Symbol BER-AR, SBES Reference Savings Factor [kBtu/tonne] SF SF (<4.5 tonnes) = 4,576 SF (>4.5 tonnes) = 3,318 Vermont TRM, 2015226 Annual kWh sav...

AI summary Table 202 provides electrical unitary savings values for dual enthalpy economizer controls, including parameters such as savings factor, tonnage of cooling equipment, operational testing factor, energy efficiency ratio, and unitary energy savings. These values are based on simulation modelling and reference data from Vermont TRM.

Table 209: Interactive Effects Factors for Pipe Insulation and Hot Water Tank Wraps Space Heating Energy Interactive Effects During Heating Period Energy Interactive Effects During Cooling Period Total Energy Interactive Effects Peak Deman...

AI summary The table presents interactive effects factors for pipe insulation and hot water tank wraps on energy use and peak demand under different heating scenarios. It shows significant energy savings during heating periods with heat pump and electrical heating, but no effect during cooling periods. The data is sourced from an evaluation report and energy efficiency regulations.

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.

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 226: Electrical Unitary Energy Savings Values for DHW Heat Pump Water Heaters Parameter Symbol Value Reference Commercial Gallons of Hot Water Used per Day per HWHP [gallons/day] 𝐺𝑃𝐷 Actual or based on Table 227 2024 Illinois TRM 253...

AI summary The document provides a detailed table and explanation for calculating electrical unitary energy savings values for domestic hot water heat pump water heaters. It outlines parameters such as heat capacity, energy factors, and COP adjustment factors, referencing various standards and conventions. The calculation of energy savings considers facility type, space heating and cooling factors, and operating times based on weather data.

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.

Table 246: Electrical Unitary Energy Savings Values for VFD Pumps and Fans Parameter Symbol Value Reference Rated Horsepower of the Motor [HP] HP Varies per project Project documentation Motor Load Factor [%] LF Varies per project (If unkn...

AI summary Table 246 outlines the parameters and calculations used to determine electrical unitary energy savings values for VFD pumps and fans, including factors such as motor load, efficiency, and operating hours, with references to project documentation and the Minnesota TRM.

Table 250: Solar PV Measure Summary Parameter Custom Retrofit, BER-AR Reference Measure Description and Identification Measure Solar PV systems for commercial, industrial, and agricultural facilities rebated after installation - Baseline F...

AI summary Table 250 outlines the Solar PV Measure Summary, focusing on the installation and energy savings parameters for solar PV systems in commercial, industrial, and agricultural facilities. The table includes details such as installation rates, effective useful life, and energy savings calculations.

Table 252: Solar Domestic Hot Water Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure CSA approved Solar domestic hot water heating rebated after installation - Baseline Existing conventional e...

AI summary Table 252 outlines the Solar Domestic Hot Water Measure, including parameters such as the installation rate, energy savings adjustment ratio, and useful life. The measure involves rebating CSA-approved solar domestic hot water heating systems after installation, with energy savings calculated using RETScreen.

Table 254: Refrigeration Gross Savings Adjustment Ratios Source Energy Savings Peak Demand Savings Program Component Evaluation Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error BER-AR 2025 0.951 5.8% 0.514 21.9% 6.9...

AI summary Table 254 presents refrigeration gross savings adjustment ratios for the BER-AR program component in 2025, including energy savings and peak demand savings with respective margins of error. Section 6.9.4 discusses refrigeration measures.

Table 255: Cooler Night Cover and Display Strip Curtain Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Night cover or strip curtain for refrigerated cases, rebated after installation - Basel...

AI summary Table 255 presents a summary of the Cooler Night Cover and Display Strip Curtain Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life. It outlines details related to installation rates and energy savings calculations.

Table 258: Zero-energy Door Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Zero-energy doors, without electric resistance heating in the door or frame, for Reach-in Coolers. Reach-in display...

AI summary Table 258 outlines the parameters for the Zero-energy Door Measure, including energy savings adjustment ratios, peak demand savings, and other technical specifications. The table provides details on installation rates, effective useful life, and energy savings calculations for rebate-eligible units.

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.

Table 277: Unitary Peak Demand Savings Values for Refrigeration Economizers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 1 See Subsection 6.9.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calculation based on specification...

AI summary Table 277 presents unitary peak demand savings values for refrigeration economizers, including parameters such as the peak coincidence factor and unitary peak demand savings. The table references Subsection 6.9.2 for the peak coincidence factor and provides calculation methods for unitary peak demand savings.

Table 279: Electrical Unitary Energy Savings Values for Refrigeration Economizers Parameter Symbol BER-AR, SBES Reference Power of Compressor [HP] HP Actual Use information in TS Condensing Unit Savings, per hp [kWh] kWhcond Hermetic / Sem...

AI summary Table 279 provides electrical unitary energy savings values for refrigeration economizers, including parameters such as compressor power, condensing unit savings, hours of use, and connected load of fans. The values are based on assumptions from Vermont's Technical Reference Manual and adjusted for the Nova Scotia market.

Table 281: Brushless DC Motor Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Brushless DC motors (or electrically commutated motors – ECM) for cooler of freezer evaporator fan, rebated after...

AI summary Table 281 provides a summary of the Brushless DC Motor Measure, including details on energy savings, installation rates, and parameters like the Energy Savings Adjustment Ratio and Peak Demand Savings Adjustment Ratio. The table outlines specifications for rebating brushless DC motors and compares them to conventional shaded-pole motors.

Table 286: Unitary Peak Demand Savings Values for Refrigerated Vending Machine Controllers 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...

AI summary Table 286 outlines unitary peak demand savings values for refrigerated vending machine controllers, including parameters like the peak coincidence factor and unitary peak demand savings. Installation rates are also mentioned, though details are not provided.

Table 287: Agriculture Gross Savings Adjustments Energy Savings Peak Demand Savings Path and Measure Category Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error Projects Sampled in Project Reviews BER-AR 0.951 5.8% 0.514 21....

AI summary Table 287 presents Agriculture Gross Savings Adjustments, including Energy Savings and Peak Demand Savings with respective adjustment ratios and margin of error percentages. Section 6.10.4 discusses Agriculture Measures, highlighting the evaluation of energy efficiency initiatives in the agricultural sector.

Table 288: Energy Efficient Ventilation and Circulation Fan Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Ventilation Fan: BESS or AMCA listed rated High Efficiency Ventilation Fan (Exhaust...

AI summary Table 288 outlines the Energy Efficient Ventilation and Circulation Fan Measure Summary, including details on rebate criteria, energy savings adjustment ratios, and other parameters for the BER-AR and SBES programs. It specifies minimum efficiency requirements for rebated fans and provides calculation methods for energy and peak demand savings.

Table 289: Electrical Unitary Energy Savings Values for Energy Efficient Ventilation and Circulation Fans BER-AR, SBES Parameter Symbol Ventilation Fan Circulation Fan Reference Airflow Produced by Baseline Fan [CFM] AFb Actual or assume s...

AI summary Table 289 provides electrical unitary energy savings values for energy-efficient ventilation and circulation fans, including parameters such as airflow, efficacy ratios, and hours of use. The table references data from the Technical Reference Manual (TRM) and the Independent Electrical System Operator (IESO) Prescriptive Measures and Assumptions List from 2024.

Table 290: Unitary Peak Demand Savings Values for Energy Efficient Ventilation and Circulation 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 Calc...

AI summary This table outlines the unitary peak demand savings values for energy efficient ventilation and circulation fans, including the peak coincidence factor (PCF) and the calculation method for unitary peak demand savings. The data is based on specification data for each rebated unit.

Table 291: Dual and Natural Ventilation Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Both natural and dual ventilation systems that meet the following criteria are eligible, rebated after i...

AI summary This table outlines the eligibility criteria, baseline conditions, and energy savings parameters for natural and dual ventilation systems under the Business Energy Rebates (BER) program. It includes adjustment ratios, effective useful life, and calculation methods for energy and peak demand savings.

Table 115 $$\Delta kW = LC \times ARL \times \frac{1}{ER} \times SF \times PCF \times QTY/1,000$$

AI summary The text presents a mathematical formula used to calculate the change in kilowatts (ΔkW) based on several variables, including load capacity (LC), annual recurring load (ARL), energy efficiency ratio (ER), scaling factor (SF), peak demand savings factor (PCF), and quantity (QTY).

Table 293: Unitary Peak Demand Savings Values for Dual and Natural Ventilation Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 0.84 As per Subsection 6.10.2 Unitary Peak Demand Savings [kW] $\Delta kW$ Calculation based...

AI summary Table 293 presents unitary peak demand savings values for dual and natural ventilation systems, including the peak coincidence factor (PCF) and calculation methods for peak demand savings. The table references Subsection 6.10.2 and outlines installation rates based on specification data for each rebated unit.

Table 294: Zero-energy and Low-energy Livestock Waterer Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Must contain a minimum of 2 inches insulation and an adjustable thermostat and be CSA /...

AI summary Table 294 outlines the parameters for the Zero-energy and Low-energy Livestock Waterer Measure, including requirements for insulation, thermostat, and CSA/cUL ratings, along with energy savings adjustment ratios and other technical details for the BER-AR and SBES measures.

Table 295: Electrical Unitary Energy Savings Values for Zero-energy and Low-energy Livestock Waterers Parameter Symbol BER-AR, SBES Reference Wattage of the Heater in the Old Waterer Pb Actual or 800 Use information in TS Default: IESO Pre...

AI summary Table 295 outlines parameters for calculating electrical unitary energy savings for zero-energy and low-energy livestock waterers, including wattage of heaters in old and new waterers, quantity, hours of use, and unitary energy savings. The table provides default values and references for data collection and calculation methods.

Table 296: Unitary Peak Demand Savings Values for Zero-energy and Low-energy Livestock Waterers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 0.84 As per Subsection 6.10.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calculat...

AI summary This table presents unitary peak demand savings values for zero-energy and low-energy livestock waterers, including parameters like the Peak Coincidence Factor and Unitary Peak Demand Savings. The table references Subsection 6.10.2 and provides installation rates for these waterers.

Table 297: Agriculture Heat Pad Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure CSA / cUL rated agricultural heat pad, rebated after installation - Baseline Incandescent heat lamps - General P...

AI summary Table 297 outlines the parameters for the BER-AR and SBES measures related to agricultural heat pads, including baseline technologies, energy savings adjustment ratios, and other technical details. The table references various subsections in the document for further details on calculations and assumptions.

Table 298: Electrical Unitary Energy Savings Values for Agriculture Heat Pads Parameter Symbol BER-AR, SBES Reference Wattage of Inefficient Heat Lamps Pb Actual or 175 Use information in TS Default: IESO Prescriptive Measures and Assumpti...

AI summary Table 298 provides electrical unitary energy savings values for agriculture heat pads, detailing parameters such as wattage, baseline and efficient quantities, hours of use, and energy savings calculations. These values are used to calculate peak demand savings for rebated units.

Table 300: Tractor Engine Block Heater Timer Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Tractor engine block heater timer that controls an engine block heater of at least 400 W and is CSA...

AI summary Table 300 presents a summary of the Tractor Engine Block Heater Timer Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life. The table also outlines installation rates and references specific subsections for detailed calculations.

Table 301: Electrical Unitary Energy Savings Values for Tractor Engine Block Heater Timers Parameter Symbol BER-AR, SBES Reference Power Consumption of Engine Block Heater [W] Pheater Actual Use information in TS Baseline Hours of Use [h/d...

AI summary Table 301 outlines parameters for calculating unitary energy savings from tractor engine block heater timers, including power consumption, baseline and efficient hours of use, and days of use per year. These values are used in conjunction with Table 302 to calculate peak demand savings.

Table 302: Unitary Peak Demand Savings Values for Tractor Engine Block Heater Timers 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 o...

AI summary Table 302 provides unitary peak demand savings values for tractor engine block heater timers, focusing on the peak coincidence factor (PCF) and unitary peak demand savings (∆𝑘𝑊) based on specification data for each rebated unit. The table references Subsection 6.10.2 for the peak coincidence factor calculation.

Table 303: Dairy Scroll Compressor Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Dairy scroll compressor for milk refrigeration, rebated after installation - Baseline Reciprocating compresso...

AI summary Table 303 provides a summary of the Dairy Scroll Compressor Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life. It outlines the baseline and measure description, along with various technical parameters and references to subsections for detailed calculations.

Table 307: Heat Reclaimer Unit Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Heat reclaimer unit that electrically heats water, rebated after installation - Baseline No heat reclaimer - Gene...

AI summary Table 307 provides a summary of the Heat Reclaimer Unit Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life. The table outlines specific values for BER-AR and SBES, with references to subsections in the document for further details.

Table 312: Unitary Peak Demand Savings Values for Milk Pre-coolers Parameter Symbol BER-AR, SBES Reference Hours of Use [h/year] HOU Actual or 2,920 Use information in TS Default: Minnesota 2025 TRM316 Peak Coincidence Factor PCF 0.84 As p...

AI summary Table 312 provides unitary peak demand savings values for milk pre-coolers, including parameters such as hours of use, peak coincidence factor, and unitary peak demand savings. The table references specific subsections and default values for calculations.

Table 313: VFD for Milk Vacuum Pump Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure VFD for milk vacuum pump which must milk at least 50 cows, rebated after installation - Baseline No existing...

AI summary Table 313 outlines the VFD for Milk Vacuum Pump Measure Summary, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and useful life. It provides details on installation rates, energy savings calculations, and references to subsections for further information.

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 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.

Table 317: Electrical Unitary Energy Savings Values for VFD Milk Transfer Pumps Parameter Symbol BER-AR, SBES Reference Energy Factor - Estimate of Energy Offset by Using VFD Milk Transfer Pump per Cow Milked EF 33.945 Massachusetts Farm E...

AI summary Table 317 outlines the electrical unitary energy savings values for VFD milk transfer pumps, including parameters such as the energy factor, average number of cows milked per day, and unitary energy savings. The table references data from the Massachusetts Farm Energy Program and provides a basis for calculating peak demand savings using additional variables from Table 318.

Table 319: Commercial Kitchen Gross Savings Adjustment Ratios Source Energy Savings Peak Demand Savings Program Component Evaluation Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error BER-AR 2025 0.951 5.8% 0.514 21.9...

AI summary Table 319 presents the Commercial Kitchen Gross Savings Adjustment Ratios for the Business Energy Rebates (BER) program, including energy savings and peak demand savings with their respective adjustment ratios and margins of error. Section 6.11.4 discusses commercial kitchen measures.

Table 320: Dishwasher Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Low or high temperature ENERGY STAR® rated dishwasher, rebated after installation - Baseline Standard dishwasher - General...

AI summary Table 320 provides a summary of the dishwasher measure under the Business Energy Rebates (BER) program. It outlines parameters such as installation rates, energy savings adjustment ratios, and effective useful life for different dishwasher types. The table references various subsections in the technical reference manuals for detailed calculations.

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.

Table 322: Unitary Peak Demand Savings Values for Dishwashers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF Actual or 0.68 As per Subsection 6.11.2 Unitary Peak Demand Savings [kW] 𝑃𝑒𝑎𝑘 𝐷𝑒𝑚𝑎𝑛𝑑 𝑆𝑎𝑣𝑖𝑛𝑔𝑠𝑘𝑊 Calculation ba...

AI summary The table outlines the unitary peak demand savings values for dishwashers under the Business Energy Rebates program. It includes parameters such as the peak coincidence factor and the calculation method for peak demand savings based on specification data for each rebated unit.

Table 323: Freezer/Refrigerator Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure ENERGY STAR® rated rebated after installation standalone refrigerator or freezer, - Baseline Standard refrigerat...

AI summary Table 323 provides a summary of energy savings measures for freezer and refrigerator programs, specifically focusing on the Business Energy Rebates (BER-AR) and the Standard Baseline Equipment (SBES). It includes parameters like installation rates, energy savings adjustment ratios, and useful life.

Table 326: Fryer Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® rated fryer, rebated after installation - Baseline Standard electric fryer - General Parameters Installation Rate...

AI summary Table 326 details the Fryer Measure Summary, focusing on the ENERGY STAR® rated fryer rebated after installation. It outlines parameters such as energy savings adjustment ratio, peak demand savings adjustment ratio, and effective useful life, referencing specific subsections for calculations and data.

Table 327: Electrical Unitary Energy Savings Values for Fryers 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 Actu...

AI summary Table 327 outlines parameters for calculating electrical unitary energy savings values for fryers, including operational days, fryer size, and energy efficiency. Energy savings are calculated using the ENERGY STAR Commercial Food Services Calculator, with reference to other tables for additional variables.

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.

Table 331: Unitary Peak Demand Savings Values for Griddles Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF Actual or 0.68 As per Subsection 6.11.2 Unitary Peak Demand Savings [kW] 𝑃𝑒𝑎𝑘 𝐷𝑒𝑚𝑎𝑛𝑑 𝑆𝑎𝑣𝑖𝑛𝑔𝑠𝑘𝑊 Calculation based...

AI summary Table 331 presents unitary peak demand savings values for griddles, focusing on parameters such as the peak coincidence factor (PCF) and the calculation of peak demand savings in kilowatts (kW) based on specification data for each rebated unit.

Table 332: Hot Food Holding Cabinet Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure cabinet, rebated after installation ENERGY STAR® rated hot food holding - Baseline Standard hot food holding...

AI summary Table 332 summarizes the Hot Food Holding Cabinet Measure, including parameters such as installation rates, energy savings adjustment ratios, and peak demand savings adjustment ratios. It outlines details for the Business Energy Rebates (BER-AR) and Standard Building Energy Standards (SBES).

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.

Table 336: Electrical Unitary Energy Savings Values for Ice Machines 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...

AI summary Table 336 outlines parameters for calculating electrical unitary energy savings values for ice machines, including operational days, hours, equipment categories, ice type, harvest rate, and energy use. Energy savings are calculated using the ENERGY STAR Commercial Food Services Calculator.

Table 337: Unitary Peak Demand Savings Values for Ice Machines Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF Actual or 0.68 As per Subsection 6.11.2 Unitary Peak Demand Savings [kW] 𝑃𝑒𝑎𝑘 𝐷𝑒𝑚𝑎𝑛𝑑 𝑆𝑎𝑣𝑖𝑛𝑔𝑠𝑘𝑊 Calculation b...

AI summary Table 337 presents unitary peak demand savings values for ice machines, including parameters such as the peak coincidence factor and unitary peak demand savings. The table references Subsection 6.11.2 and provides calculation details based on specification data for each rebated unit.

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.

Table 340: Unitary Peak Demand Savings Values for Ovens Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF Actual or 0.68 As per Subsection 6.11.2 Unitary Peak Demand Savings [kW] 𝑃𝑒𝑎𝑘 𝐷𝑒𝑚𝑎𝑛𝑑 𝑆𝑎𝑣𝑖𝑛𝑔𝑠𝑘𝑊 Calculation based on...

AI summary Table 340 outlines unitary peak demand savings values for ovens, focusing on parameters like the peak coincidence factor (PCF) and calculation methods for peak demand savings. The table references Subsection 6.11.2 and provides context for how savings are calculated based on rebated unit specifications.

Table 341: Steam Cooker Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure ENERGY STAR® rated steam cooker, rebated after installation - Baseline Standard steam cooker - General Parameters Instal...

AI summary Table 341 summarizes the Steam Cooker Measure, including details such as the measure description, baseline, installation rate, energy savings adjustment ratio, peak demand savings adjustment ratio, and other parameters related to energy and peak demand savings. It references various subsections for additional details.

Table 342: Electrical Unitary Savings Values for Steam Cookers 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 Actu...

AI summary Table 342 outlines the parameters and values used to calculate electrical unitary savings for steam cookers, including factors such as annual days of operation, type of steam, and energy efficiency. The table references the ENERGY STAR Commercial Food Services Calculator for energy savings calculations.

Table 344: Demand Controlled Kitchen Exhaust Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Controlled by temperature and/or optical sensors located in exhaust hood, rebated after installatio...

AI summary Table 344 provides a summary of the Demand Controlled Kitchen Exhaust Measure under the Business Energy Rebates - Advanced Rebates (BER-AR) and Small Business Energy Solutions (SBES) programs. It outlines parameters such as measure description, baseline, installation rate, energy savings adjustment ratios, and other technical details.

Table 348: Electrical Unitary Energy Savings Values for Commercial Washing Machines Parameter Symbol BER-AR, SBES Reference Modified Energy Factor of Baseline Equipment [ft3/kWh/load] MEFb Actual or 1.26 Use information in TS Default: Cana...

AI summary Table 348 outlines parameters and values for calculating electrical unitary energy savings for commercial washing machines, including modified energy factors, equipment capacity, number of loads, and quantity of machines. These values are used in conjunction with Table 349 to calculate peak demand savings.

Table 350: Commercial Heat Pump Clothes Dryer Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Commercial heat pump clothes dryer meeting a minimum Combined Energy Factor (CEF) of 4.5, rebated...

AI summary Table 350 outlines the Commercial Heat Pump Clothes Dryer Measure Summary, including details such as the measure description, baseline, installation rate, effective useful life, and energy savings parameters. The measure involves rebating commercial heat pump clothes dryers meeting specific energy efficiency standards.

Table 351: Electrical Unitary Energy Savings Values for Commercial Heat Pump Clothes Dryers Parameter Symbol BER-AR, SBES Reference Quantity QTY Actual Use information in TS Loads per Year [loads/year] Cdry Multi-unit Residential 1,083 Lau...

AI summary Table 351 presents energy savings values for commercial heat pump clothes dryers, including parameters like loads per year, average load, and energy efficiency factors. The table references data from the U.S. Department of Energy and Vermont TRM for baseline and efficient equipment calculations.

Table 352: Unitary Peak Demand Savings Values for Commercial Heat Pump Clothes Dryers Parameter Symbol BER-AR, SBES Reference Time Cycle [h] timecycle Actual or 1 Use information in TS Default: Vermont 2015 TRM Peak Coincidence Factor PCF...

AI summary Table 352 presents unitary peak demand savings values for commercial heat pump clothes dryers, including parameters such as time cycle, peak coincidence factor, and unitary peak demand savings. The table references the Business Energy Rebates (BER) program and includes calculation methods based on specification data for each rebated unit.

Table 354: Electrical Unitary Energy Savings Values for Server-based Power Management Software Parameter Symbol BER-AR, SBES Reference Energy Savings Factor for a Desktop Computer [kWh/year] ESFD 356 Based on ENERGY STAR Computer Power Man...

AI summary Table 354 presents electrical unitary energy savings values for server-based power management software, including energy savings factors for desktop and laptop computers, quantities of power-managed devices, and unitary energy savings calculations. The data is based on assumptions from the ENERGY STAR Computer Power Management Savings Calculator and a 2004 Lawrence Berkeley National Lab Report.

Table 355: Unitary Peak Demand Savings Values for Server-based Power Management Software Parameter Symbol BER-AR, SBES Reference Demand Savings Factor for a Desktop Computer [W] DSFD 68 Based on ENERGY STAR Computer Power Management Saving...

AI summary Table 355 provides unitary peak demand savings values for server-based power management software, including demand savings factors for desktop and laptop computers. These values are calculated based on assumptions from the ENERGY STAR Computer Power Management Savings Calculator.

Summary [Table](#page-79-1) 356 presents a summary of the values used to calculate server virtualization and decommissioning savings. The detailed methodology follows.

AI summary Table 356 summarizes the values used to calculate server virtualization and decommissioning savings, with a detailed methodology provided afterward.

Table 356: Server-based Server Virtualization and Decommissioning Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Removed servers must be properly disposed of and not be reused in any form, r...

AI summary Table 356 outlines the parameters for the Server-based Server Virtualization and Decommissioning Measure under the Business Energy Rebates (BER) program. It specifies that removed servers must be properly disposed of and not reused, and provides details on energy savings calculations based on unit specifications.

Table 357: Electrical Unitary Energy Savings Values for Server Virtualization and Decommissioning Parameter Symbol BER-AR, SBES Reference Servers to Be Retired RS Actual (minimum of 8) Use information in TS Power Use in Idle [W] of a Serve...

AI summary Table 357 outlines the parameters and calculations used to determine electrical unitary energy savings from server virtualization and decommissioning. It includes details such as server power use, utilization rates, and energy savings calculations. The table is used to evaluate the impact of energy efficiency programs like Business Energy Rebates (BER).

Table 359: Uninterruptible Power Supply (UPS) Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® certified UPS to reduce energy losses, rebated after installation - Baseline No UPS...

AI summary Table 359 outlines the Uninterruptible Power Supply (UPS) measure summary, focusing on the Business Energy Rebates (BER-AR, SBES) program. It details parameters such as measure description, baseline, installation rate, and energy savings, with specific emphasis on energy losses reduction through ENERGY STAR® certified UPS units.

Table 360: Electrical Unitary Energy Savings Values for Uninterruptible Power Supply (UPS) Parameter Symbol BER-AR, SBES Reference Energy Use per Rated kVA - 204 CMUA California 2017 TRM UPS Power [kVA] 𝑘𝑉𝐴 Actual Use information in TS Uni...

AI summary Table 360 provides electrical unitary energy savings values for Uninterruptible Power Supply (UPS) systems, including energy use per rated kVA, UPS power in kVA, and unitary energy savings in kWh/year. The table references the CMUA California 2017 TRM and specifies that calculations are based on specification data for each rebated unit.

Table 361: EUL Values for BNI LED Lamps and Fixtures Measure Program Component Average Rated Lifetime (hours) Annual HOU (hours/year) Equipment Life 2025 Equivalent EUL LED Omnidirectional (A-lamp and Globe) SBES 25,000 3,600 6.9 1.0 Four...

AI summary Table 361 presents Effective Useful Life (EUL) values for various BNI LED lamps and fixtures under the SBES and BER-AR programs. The table includes data on average rated lifetime, annual HOU, equipment life, and 2025 equivalent EUL for different LED products.

Table 362: EUL Values for Non-LED Lighting BNI Measures Measure Program Component EUL Value Reference Lighting Controls Occupancy Sensors BER-IR, BER-AR, SBES 10 GDS, 2007 (Table 2 – Commercial & Industrial Measures, value for occupancy se...

AI summary Table 362 presents EUL (Effective Useful Life) values for various non-LED lighting BNI measures under the Business Energy Rebates (BER) and Small Business Energy Solutions (SBES) programs, referencing studies and reports from multiple organizations including KEMA, IESO, and ERS.

KEMA. Focus on Energy Evaluation Business Programs: Measure Life Study. Prepared for PA Consulting Group Inc., August 2009. Measure Program Component EUL Value Reference HVAC Air-source Heat Pumps Greater Than or Equal to 65,000 Btu/hr BER...

AI summary The document presents a measure life study for various energy efficiency programs, including heat pumps and economizer controls, with Effective Useful Life (EUL) values derived from sources such as the California Public Utilities Commission and Natural Resources Canada.

andard assumption is that savings are achieved for one year. After that one-year period, the bulb would have to be replaced with bulbs available in store, which are assumed to be LED starting in 2025. For solar fixtures, a measure life of...

AI summary The document discusses assumptions regarding the Effective Useful Life (EUL) of lighting fixtures, particularly LED bulbs and solar lamps. It highlights that savings are assumed for one year before replacement, and for solar lamps, a 10-year EUL is used based on motion sensors. An equivalent EUL of 2.5 years was calculated for a specific measure using an equation and values from Table 1.

- 1 Table 1 below presents this calculation using values from Table 8 of Appendix A. As shown in - 2 Table 1, these dedicated program components account for 11 percent of total residential first- - 3 year energy savings and 42 percent of t...

AI summary Table 1 illustrates that dedicated program components contribute 11% of total residential first-year energy savings and 42% of total residential program investment, using values from Table 8 of Appendix A.

sdictions such as Ontario; - 3 the expected benefits associated with increased participant scale; and - 4 E1's ongoing program optimization efforts. DATE FILED: May 28, 2026 E1 (CA) IR-06 Page 3 of 3 Request IR-07: Reference: Evidence, pag...

AI summary E1 determined the Preferred Plan's investment level of $63.75 million annually as optimal through a multi-factor analysis, considering Nova Scotia's economic conditions. E1 acknowledges that while the IRP suggests higher investment is optimal for ratepayers, the current economic landscape, including rising costs, necessitates maintaining the current level without annual inflationary increases.

V2 August 2022 Version Date Revisions v1 December 2020 Original version v2 August 2022 Revised incentives; new requirements for envelope calculations, mixed fuel systems, long term care facilities

AI summary The V2 August 2022 version updates the original December 2020 document with revised incentives and new requirements for envelope calculations, mixed fuel systems, and long-term care facilities. These changes reflect evolving regulatory standards for energy efficiency and building performance.

4. Energy Modeling - During the design process, the consultant works with the design team to model and assess design iterations - ENS can provide preliminary incentive estimates during design development, for budgeting purposes; the actual...

AI summary The energy modeling process involves collaboration between consultants and design teams to assess design iterations. ENS provides preliminary incentive estimates during design development for budgeting, with final commitments dependent on detailed models and final designs.

Total energy savings refers to all energy sources and uses (including non-electric energy and lighting). The Implementation Incentive rate applies to electrical energy savings only (not inclusive of lighting savings, see section [6.7](#pag...

AI summary The document outlines the criteria for the Implementation Incentive, which applies to electrical energy savings only, up to a maximum of $750,000. Energy savings from solar PV systems are included, but lighting savings are excluded. The Initial Energy Model must be approved by ENS before installation, and the incentive is paid upon project completion and submission of the As-Built Energy Model.

Request IR-03: For a baseline new electrically heated multi-unit residential building in Nova Scotia with annual electricity consumption of 300,000 kWh and a peak demand of 230 MW, please compare the Custom New Construction Program incenti...

AI summary The response to IR-03 explains that the Custom New Construction Program evaluates building performance based on energy modelling in accordance with the National Energy Code of Canada for Buildings (NECB). The program is fuel-agnostic, and comparisons are made on a like-for-like basis, not based on fuel switching.

capacity ratios and operational characteristics as the proposed building. As a result, the comparison of building performance is conducted on a like-for-like basis and is not driven by fuel switching. Incentives under Custom New Constructi...

AI summary The Custom New Construction program provides incentives based on electricity consumption reductions relative to a reference building. Incentives are tiered and based on percentage energy use reductions compared to the NECB reference building, with no incentives for non-electric fuel reductions. The scenarios in IR-03 cannot be compared like-for-like due to differences in building performance metrics.

- 2 same, and no MT interventions were launched. Request IR-08: (a) Please provide E1's opinion on whether E1 can provide incentives that would support the adoption of hybrid gas/electric space heating systems in new buildings. (b) If not,...

AI summary The document contains two requests (IR-08 and IR-09) related to E1's ability to provide incentives for hybrid gas/electric space heating systems and the performance of the Custom New Construction program. E1 refers to a previous response for IR-08, while data is provided for IR-09 regarding energy savings and expenditures from 2023 to 2025.

formed evaluation drawing on multiple inputs, including program performance data, modelling results, DSMAG feedback, and system planning objectives. DATE FILED: May 28, 2026 E1 (IG) IR-04 Page 2 of 2 Request IR-05: Reference: Exhibit E-1,...

AI summary The document requests detailed information on strategic electrification scenarios modelled during the 2027–2031 DSM Plan development, including technologies, modified-PAC inputs and outputs, failure thresholds, and sensitivity analysis. It also asks for the Enabling Strategies budget allocation for electrification research and whether Medium and Large Industrial customers are included in this budget.

Industrial customers are allocated any portion of the Enabling Strategies budget for electrification research. If so, please provide the dollar amounts allocated to each class over the plan period. (d) If, during the 2027–2031 plan period,...

AI summary The response outlines how industrial customers are allocated portions of the Enabling Strategies budget for electrification research and discusses the process for introducing electrification measures if they become cost-effective under the modified-PAC test, including cost allocation and potential Board approval.

1 Table 1: Estimated direct expenditures for strategic electrification portion of Innovation area of focus, by 2 rate class Rate class Estimated direct expenditures for strategic electrification portion of Innovation area of focus 2027 Tot...

AI summary Table 1 provides estimated direct expenditures for the strategic electrification portion of the Innovation area of focus, categorized by rate class (Medium Industrial and Large Industrial), with totals from 2027 to 2031.

ance (actual minus budget, and percentage). - ii) please also provide a year-over-year comparison of actual costs by category, identifying and explaining any material variances. Response IR-06: - (a) No, EfficiencyOne (E1) has not conducte...

AI summary EfficiencyOne (E1) explains that it has not conducted a quantitative analysis on what investment level would be considered 'material' and result in negative impacts. E1 states that reducing Enabling Strategies spending 'materially' would significantly affect its ability to deliver programs and meet regulatory requirements. Market transformation is highlighted as a new category in the Preferred Plan, continuing from a pilot launched in 2024.

ii) Please refer to part (e) i) of this IR response. Request IR-07: Reference: Exhibit E-1, Application, page 40/71, lines 19–21. Over the same time period in which the investment of $318.75 million is made, the Preferred Plan will achieve...

AI summary The response confirms that 'avoided utility costs' and 'lifetime customer benefits' are equivalent. These costs include avoided costs of capacity, energy, transmission, and distribution. Carbon costs are included in the model via the Nova Scotia Output Based Pricing System (NS OBPS), with a price of $110/tonne CO2e for 2026, increasing annually until $130/tonne CO2e in 2030.

d underspend by rate class. There has been no interest applied at this time that would reduce the final BA at the end of the DSM Plan implementation. (d) Please refer to part (a) of this IR response. Request IR-10: References: Exhibit E-1,...

AI summary E1 attributes increased first-year unit costs for energy efficiency programs from $0.49/kWh (2026) to $0.66/kWh (2027–2031) to factors like ending the Greener Homes top-up incentive, reduced heat pump savings, and inflation. E1 argues the lifetime unit cost of $0.05/kWh is a more accurate efficiency measure.

- 4 Attachment 2 to this IR response. Residential Instant Savings - Cost and Energy Savings Analysis Costs ($ millions) Residential Instant Savings 2026 Total Costs $ 2.53 Unit Cost Analysis Centrally Ducted Heat Pump -NEW 0.38 2026 Unit C...

AI summary The document provides a detailed analysis of the costs and energy savings associated with the Residential Instant Savings program and the Home Energy Assessment program for 2026 and beyond. It outlines various cost components, including unit costs, administrative changes, and the impact of different measures on overall savings.

Results of Jurisdictional Scan Tables 1 through 3 summarize first-year unit costs in Canadian dollars (CAD) on a portfolio; residential; and business, non-profit, and institutional (BNI) basis across a set of comparator jurisdictions, draw...

AI summary The jurisdictional scan compares first-year unit costs across various Canadian jurisdictions, highlighting that E1 is on the lower-cost end when outliers like Manitoba and New Brunswick are considered. These provinces influence rankings due to unique accounting treatments and industrial program structures.

Table 1. First-Year Unit Costs Ranked from Most to Least Expensive on a Portfolio Basis Jurisdiction Portfolio CAD Newfoundland and Labrador $1.38 New Brunswick (w/o Industrial Program, Business Rebate) $1.12 New Hampshire $0.96 Vermont $0...

AI summary Table 1 ranks the first-year unit costs of energy efficiency programs across various jurisdictions, with Newfoundland and Labrador having the highest cost at CAD 1.38 and Manitoba the lowest at CAD 0.25. EfficiencyOne is listed at CAD 0.66, and New Brunswick's cost is adjusted to exclude certain programs.

Table 2. First-Year Unit Costs Ranked from Most to Least Expensive on a Residential Basis Res Jurisdiction CAD New Hampshire $2.26 Vermont $1.30 New Brunswick (w/o Industrial Program, Business Rebate) $1.17 New Brunswick $1.17 EfficiencyOn...

AI summary Table 2 and Table 3 compare first-year unit costs for residential and BNI (Business, Non-Profit and Institutional) energy efficiency programs across various jurisdictions, highlighting New Brunswick's unusually low cost for its Industrial Program, which significantly reduces overall portfolio costs.

Structural Drivers of Unit Costs in Comparator Jurisdictions A comparison between Nova Scotia and Manitoba highlights how accounting and portfolio design decisions influence reported $/kWh first year costs. Drivers of unit costs are descri...

AI summary This section compares Nova Scotia and Manitoba, emphasizing how accounting and portfolio design influence unit costs. Manitoba's inclusion of behavioral and lighting measures, codes and standards savings, and legacy load displacement projects significantly lowers average unit costs compared to other jurisdictions.

Key Drivers of Rising Portfolio-Level $/kWh Costs Over Time While the first-year costs of E1's 2027–2031 DSM Plan reflect an increase over previous iterations of the Plan, this is to be expected and is in line with observations across Nort...

AI summary The text discusses the key drivers of rising portfolio-level \/kWh costs over time, including the removal of low-cost savings, measurement and verification updates, market transformation effects, expanded low-income programs, and electrification measures. These factors are illustrated with examples from Massachusetts and are relevant to Nova Scotia's energy efficiency programs.

Review of E1's 2027–2031 Portfolio The Apex team reviewed E1's analysis of E1's historical (2025 actuals), near-term DSM Plan projections (2026), and longer-term DSM Plan averages (2027–2031) across residential and BNI EE programs. Overall...

AI summary The Apex team reviewed E1's analysis of its historical and projected DSM Plan costs from 2025 to 2031. Unit costs for energy efficiency programs are increasing due to declining participation, shifts toward more expensive measures like heat pumps, and the phase-out of lower-cost initiatives. The total unit cost is projected to rise from $0.44 in 2025 to $0.66 on average for 2027–2031.

BNI Programs Business programs show more moderate increases in unit costs than residential programs, though similar structural drivers are evident. Small Business Energy Solutions experiences a gradual increase in unit cost from 2025 throu...

AI summary Business programs show moderate increases in unit costs, driven by the elimination of direct install and declining energy savings. Custom and Strategic Energy Management programs remain stable due to increased energy savings offsetting higher costs. Lighting measures being phased out also impact unit costs in Business Energy Rebates.

New Hampshire – 2026 Plan Program Budget Annual kWh Savings $/kWh Income Eligible Home Energy Assistance $ 14,273,268 3,763,541 $ 3.79 SubTotal $ 14,273,268 3,763,541 $ 3.79 Residential EnergyStar Homes $ 3,874,881 2,595,205 $ 1.49 Home Pe...

AI summary The document outlines the 2026 Plan for New Hampshire, detailing program budgets, annual kWh savings, and cost per kWh for various energy efficiency initiatives, including income-eligible programs, residential, and commercial & industrial programs.

New Brunswick – 2024/25 to 2026/27 Initiatives Update Budget kWh $/kWh Residential $ 10,200,000 $ 8,700,000 1.17$ Direct Install $ 200,000 300,000 0.67$ Total Home $ 8,700,000 7,800,000 1.12$ New Home $ 1,300,000 600,000 2.17$ Commercial a...

AI summary The document outlines a budget and cost-per-kWh for various energy efficiency initiatives in New Brunswick from 2024/25 to 2026/27, including residential, commercial, and industrial programs. It includes details on funding amounts and costs associated with different initiatives such as direct installation, home energy assessments, and peak rebate programs.

Prince Edward Island – 2024/25 Plan Budget ($M) Gross Savings (Gwh) Net Savings (Gwh) $/kWh Energy Efficienct Equipment Rebates $ 2.22 5.09 3.97 $ 0.56 Home Insulation Rebates $ 0.23 1.06 0.84 $ 0.27 Winter Warming $ 0.26 0.55 0.55 $ 0.47...

AI summary The document presents a budget and savings breakdown for Prince Edward Island's 2024/25 energy efficiency plan, detailing various programs such as energy efficiency equipment rebates, home insulation, and demand response initiatives, along with their associated costs and energy savings.

Newfoundland and Labrador Hydro – 2024 Report Customer Particiaption Annual Energy Savings Annual Energy Savings (Customers) (MWh) (kWh) Residential Insulation and Air Sealing 39 89 89,000 HRV - Energy SaversKits 89 71 71,000 ICEEP (Reside...

AI summary The 2024 report from Newfoundland and Labrador Hydro outlines energy savings achieved through various residential, commercial, and industrial programs. It details customer participation numbers, annual energy savings in MWh and kWh, and outlines the costs associated with education, support, planning, and program-specific expenditures.

2020/21 to 2024/25 Evaluated Savings Electric Energy Savings showing use of Home Energy Reports, lighting, load displacement, and Codes and Standards. Electri c Energy Savings ( GWh) Program 2020/21 2021/22 2022/23 2023/24 2024/25 Resident...

AI summary The document presents evaluated electric energy savings from 2020/21 to 2024/25, highlighting the use of Home Energy Reports, lighting, load displacement, and Codes and Standards. It includes data on energy savings across various sectors such as residential, income-based, Indigenous, and commercial/industrial, along with percentages of load reduction targets achieved.

M08604, E1 2019 DSM Plan, Exhibit 3, 2017 Program Support Process Evaluation Reports, PDF page 56. (Date Filed: March 29, 2018) 1 • Utilize a decision tree – In some cases there is rationale for offering 26 • Retro fit projects only, no ne...

AI summary The document discusses changes to incentive structures in the 2019 DSM Plan, citing rising costs and the need for updated measure characterizations. It references Synapse reports and highlights standardization of rebates for similar measures, including adjustments to mini-split heat pump presentations based on 2025 program evaluation results.

Key Takeaways • Variability . None of the PAs with whom Apex spoke set incentives in exactly the same way. Within a single PA, there was variability in terms of how incentives were 6 [https://www.xcelenergy.com/staticfiles/xe](https://www....

AI summary The document highlights variability in incentive-setting practices among PAs, with a focus on budget considerations, lack of formalized processes, and the importance of cost-effectiveness and technology maturity. Incentives are generally not updated frequently but are re-evaluated during progress review periods.

Key Assumption Updates Incentives are frequently set based on assumptions of the cost of efficient equipment, the cost of standard/baseline equipment, energy savings values, and the life of the measure. These assumptions need to be updated...

AI summary The document discusses the frequency of updating assumptions related to energy efficiency incentives, such as equipment costs, energy savings, and measure lifespans. Some PAs update these assumptions annually, especially in rapidly evolving markets like lighting, while others update them as needed or based on evaluations. In some cases, incentives may be discontinued if market saturation is detected.

flowing back to customers. Limiting incentives or which measures can be offered based on payback period does not inherently change overall portfolio budgets if certain savings targets need to be met. Throughout the primary and secondary re...

AI summary The text discusses payback period considerations in energy efficiency programs, noting that limiting incentives based on payback period does not affect overall budgets if savings targets are met. Apex's research highlights reasons for providing incentives for measures with short payback periods (36 months or less), and the text references natural gas price volatility impacting electricity prices.

cts that are most valuable to the grid, which in turn can reduce costs to all ratepayers. However, it does not consider whether the full incentive is needed for motivating the customer to participate. As more and more jurisdictions increas...

AI summary The text discusses the need to adapt energy efficiency (EE) incentives to support public policy goals as electrification efforts increase. It highlights the importance of considering overall costs and greenhouse gas emissions, rather than just traditional EE savings calculations, and suggests that incentives should evolve to encourage electrification and higher electric consumption during times of high renewable output.

Date Filed: May 28, 2026 IG IR-12, Attachment 1, Page 1 of 1 DSM Statement of Operations ($ millions) 18.29 15.74 (2.55) -14% 16.24 0.50 3% 16.50 0.25 2% 17.04 0.55 3% 17.56 0.53 3% Total Costs $ 63.75 $ 63.75 $ 63.75 $ 63.75 $ 63.75 $ 63....

AI summary The document presents the DSM Statement of Operations for 2026, detailing total costs and program-specific incentive expenditures across various energy efficiency and demand-side management initiatives in Nova Scotia.

16 Table 5: Medium Industrial expenditures by areas of focus and total Development and Research Other Enabling Strategies Areas of Focus Areas of Focus Year Information & Analytics ($) Innovation ($) Total Investment ($) DSM Planning ($) R...

AI summary Table 5 outlines Medium Industrial expenditures by areas of focus from 2027 to 2031, showing investments in Information & Analytics, Innovation, DSM Planning, and other regulatory matters, with total investment figures provided for each year and the overall period.

Table 36 provides the total custom program components: Custom Annual Plan Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (projects) 2027 Total 17.1 73.2 10.7 191 2028 Total 13.3 50.7 7.1 132 2029 Total 11.1 35.0 4.6...

AI summary Table 36 outlines the total custom program components for years 2027 to 2031, detailing investments, energy savings, demand savings, and participation numbers across various years. The table highlights a decrease in investment and savings over time, with a total investment of 62.1 million dollars and energy savings of 218.7 GWh over the five-year period.

- Attachment 3 from the 2026 DSM Plan) on the custom program components: 2026 Proposed 2027 Preferred Plan 2028 Preferred Plan Measure Name First Year Savings (MWh) Per Unit Incentive Participation Units Total Incentive PAC Ratio First Yea...

AI summary Attachment 3 from the 2026 DSM Plan outlines the proposed and preferred plans for custom program components, including Pay for Performance, New Construction, Industrial Retrofit, Commercial Retrofit, Building Optimization, and Equity Deserving Retrofits, with details on savings, incentives, participation units, and PAC ratios for each year from 2026 to 2028.

- 5 (b) Please explain the decrease in Strategic Energy Management per unit incentive from 6 $160,000 in 2026 to $60,000 in the 2027-2031 Plan. Specify how and why the incentive 7 setting methodology led to the decision. - 9 (c) Comparing...

AI summary The text requests explanations for changes in incentive amounts, participation levels, and data reconciliation related to energy management programs. It also asks for clarification on the separation of Strategic Energy Management in different tables.

Plan as program administration. This approach ensures consistency DATE FILED: May 28, 2026 E1 (IG) IR-19 Page 3 of 8 between program components in how these types of incentive costs are categorized. (c) Participation increases in New Const...

AI summary The document discusses E1's approach to program administration, emphasizing consistency in categorizing incentive costs. It highlights increased participation in New Construction and Industrial Retrofit due to E1's efforts, and notes low participation in Pay for Performance. A table is referenced for detailed investment, savings, and participation data in the Custom Incentives program.

Table 1: Custom Incentives Program: Investment, Savings, and Participation Custom Incentive s Program Year Program Measure Investment ($M) First Year Energy Demand Savings Participation rear Component rieasure Incentives Administration Tot...

AI summary The table presents data on the Custom Incentives Program, including investment amounts, energy savings, and participation numbers for 2027 and 2028. It details various components of the program, such as Pay for Performance, New Construction, Industrial Retrofit, and Commercial Retrofit, along with their associated costs and savings.

4 (h) E1 has customer agreements in place for many Custom projects that are expected to be 5 completed in the early years of the Preferred Plan at current incentive levels. The program 6 delivery structures, types of projects, and associat...

AI summary E1 has customer agreements for Custom projects expected to be completed in the early years of the Preferred Plan at current incentive levels. The program delivery structures and incentives vary, but the pipeline of projects provides near-term cost certainty. Longer-term, E1 expects more complex projects to be a focus, and has increased future incentives based on current averages excluding lower-cost projects.

age - 2 incentives when excluding these lower cost projects (e.g., compressed air leak audits) and - 3 increased future incentives to those amounts. DATE FILED: May 28, 2026 E1 (IG) IR-19 Page 8 of 8 Request IR-20: Reference: Exhibit E-1,...

AI summary The request seeks analysis of rate and bill impacts for an alternate scenario, assumptions behind lower bill impacts for industrial customers, and whether a 4% average bill impact is considered sufficient for participation in energy efficiency programs.

15 Table 1: Estimated Impact of 2026 GRA Line Losses on Key 2027–2031 DSM Plan Outputs First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Demand Response Capacity (MW) Solar-PV Generation (GWh)...

AI summary The table discusses the estimated impact of 2026 GRA line losses on key 2027–2031 DSM Plan outputs. The differences in energy savings, peak demand savings, and demand response capacity are minimal, indicating a small effect from the line losses. The request and response relate to the Smart Synergy program, including participation rates, incentives, and event calling practices.

Allocation of 2029 DSM Plan expenditures associated with benefits for Municipal Utilities ($ Million)

AI summary The document outlines the allocation of expenditures from the 2029 Demand Side Management (DSM) Plan, focusing on benefits for Municipal Utilities in Nova Scotia. The context emphasizes financial distribution tied to energy efficiency and demand management initiatives, though specific details or figures are not provided in the heading.

Allocation of 2030 DSM Plan expenditures associated with benefits for Municipal Utilities ($ Million)

AI summary The document heading outlines the allocation of expenditures from the 2030 Demand Side Management (DSM) Plan, focusing on benefits for Municipal Utilities in Nova Scotia. The specific details of the allocation or associated programs are not provided in the given text.

Reference: Appendix A, Attachment 5, Table 1 Forus Area DSM Direct Expenditure ($) Focus Area — 2027 2028 2029 2030 2031 Total ($) Demand Response 160,650 178,815 123,175 110,250 111,500 684,390 Demand Flexibility 183,600 204,360 221,715 1...

AI summary The document presents a table outlining projected direct expenditures for various demand-side management (DSM) focus areas from 2027 to 2031, including Demand Response, Demand Flexibility, Strategic Electrification, Market Transformation, and Locational DSM. A question is raised about the eligibility of new residential batteries, including Virtual Power Plants, under these areas.

E1 Responses to Nova Scotia Energy Board (NSEB) Information Requests NON-CONFIDENTIAL 1 Request IR-01: 2 3 Evidence – Exhibit E-1, pp.1-71 (pdf pp. 8-78) 4 5 Pdf pg. 9 outlines that the Preferred Plan will save 14 GWh of energy through low...

AI summary The document outlines responses to information requests by the Nova Scotia Energy Board (NSEB) regarding energy savings estimates from E1's programming and a Purchase Agreement with NS Power. E1 refers to previous responses for details on savings calculations and requests confirmation of NS Power's agreement with proposed changes.

E1 Responses to Nova Scotia Energy Board (NSEB) Information Requests NON-CONFIDENTIAL Impact of 2027-2031 DSM Plan on Residential Customers Bills 26 cost.", please describe the additional items that installers would 27 complete during a re...

AI summary The document contains a series of questions from the Nova Scotia Energy Board (NSEB) regarding the impact of the 2027-2031 DSM Plan on residential customer bills, including inquiries about qualification criteria, incentive amounts, and payback periods for various energy efficiency measures.

23 Table 2: Estimated PAC Results for IR-Griddle-Electric Measure 2027 2028 2029 2030 2031 IR – Griddle – Electric 0.8 0.89 0.96 1.01 1.02 $1,000/incentive 24

AI summary Table 2 presents estimated PAC results for the IR-Griddle-Electric measure from 2027 to 2031, showing increasing values over time. The table includes a row for the measure and a column for the cost per incentive in thousands of dollars.

E1 Responses to Nova Scotia Energy Board (NSEB) Information Requests NON-CONFIDENTIAL 1 large industrial customers, encourage customers to complete energy 2 efficiency projects, and reward them for the time and effort they invest 3 in ener...

AI summary E1 discusses its energy efficiency programs, highlighting increased participation and savings due to incentives. The Strategic Energy Management program rewards customers for long-term engagement, and program costs include service provider fees and customer incentives. These details are outlined in E1's 2027-2031 DSM Plan Application.

Regarding Section 2.3 "Standardized Filing Framework" of the Application: - (a) Section 2.3.1 "The 2022 Integrated Resource Plan", pdf pgs. 28-29 state: "The Standardized Filing Framework directs that the Resource Plan identified in NS Pow...

AI summary The document discusses the 2022 Integrated Resource Plan (IRP) and its use in developing E1's 2027–2031 DSM Plan. It highlights the need to incorporate findings from NS Power's 2025 IRP Action Plan Update and address the 'Hybrid Peak Electrification Scenario.' The numbers in E1's DSM Plan are lower than those in the IRP, raising questions about alignment and considerations of affordability.

1 within these definitions. The increase in customer incentives from 66 percent to 71 percent 2 of total plan costs does not change the nature of the activities funded; rather, it reflects a 3 deliberate choice to direct a greater share of...

AI summary The Preferred Plan focuses on reducing electricity costs for customers by maintaining a fixed DSM budget, increasing customer incentives, and ensuring long-term value through avoided utility costs. The plan aligns with short-term affordability goals and limits rate pressure on NS Power customers.

B. Sector Comparisons With respect to the savings split between Business, Non-Profit, and Institutional (BNI) and Residential sectors, Apex analyzed variations across jurisdictions in terms of savings from each of the sectors. Table 3 show...

AI summary Apex's analysis of energy efficiency savings across jurisdictions highlights that BNI savings are more cost-effective than residential savings. New Brunswick's energy efficiency goals are increasing and are funded through a mix of federal, provincial, and ratepayer sources, with programs ultimately benefiting citizens regardless of funding source.

3. Conclusion After analyzing comparable jurisdictions in North America, as well as E1's historical achievements, market demand, and organizational capability, Apex recommends a net savings target of 0.8%-1.0% of sales for the 2027-2031 Pl...

AI summary Apex recommends a net savings target of 0.8%-1.0% of sales for the 2027-2031 Plan, considering increased costs and affordability. The split between residential and BNI savings is recommended as up to 30%/70%, based on lower BNI acquisition costs. The target balances energy efficiency and affordability needs.

13 DSM Plan Lifetime Benefits Period DSM Plan Lifetime Benefits ($M) 2027–2031 $229.4 2032–2036 $261.2 2037–2041 $121.5 2042–2046 $60.5 2047–2051 $9.1 2052–2056 $0.5 2057–2061 $0.2 Total: 2027–2061 $682.5 1 Request IR-15: 2 3 Evidence – Ex...

AI summary The document discusses the 2027–2061 DSM Plan Lifetime Benefits and includes an information request (IR-15) regarding strategic electrification feedback from DSMAG members and the Enabling Strategies budget allocation. E1 responds by referring to a previous response to NSEB IR-16.

1 M09096, Document No. 84486, DSMAG Revised Terms of Reference, September 20, 2021, page 7 1 Request IR-16: 18 • Over the past five years (ie., 2021 to 2025), please identify the 19 percentage of NS Power customers who have participated in...

AI summary The document includes a request for information on the participation rates of NS Power customers in E1's DSM programs over the past five years, as well as inquiries about the impact of demand response on rates and the calculation of $2.5 billion in aggregate bill savings from past DSM activities. Responses refer to EfficiencyOne's previous submissions.

Jurisdictional Scans CLEAResult undertook jurisdictional scans of various provincial and state utilities and energy efficiency agencies to: - 1) identify the incentive level setting methodologies and best practices in other jurisdictions;...

AI summary CLEAResult conducted jurisdictional scans of provincial and state utilities and energy efficiency agencies to identify incentive level setting methodologies and best practices. The scans focused on geographical similarity, portfolio maturity, and recognized market leadership. Results were used to benchmark ENS's program incentives and inform recommendations.

Study of Nova Scotia's Market To tailor the final findings to Nova Scotia's market, efforts were taken to understand the current landscape of energy efficiency programming, from both the perspective of EfficiencyOne and other major stakeho...

AI summary The study of Nova Scotia's market focuses on energy efficiency programming, considering the perspectives of EfficiencyOne and other stakeholders. It includes research on the electricity market, supply and demand forecasts, population and building demographics, and regulatory structures that influence incentive setting for energy efficiency programs.

program administration costs be minimized as a portion of the total program delivery budget to ensure participants receive the majority of financial benefit from the programs via financial incentives. Often, direct financial incentives to...

AI summary The text discusses the importance of minimizing program administration costs to maximize financial benefits for participants in energy efficiency programs. It highlights the use of convenience incentives, such as in-home appliance pickup and direct installation by pre-qualified contractors, which reduce barriers to participation and should be tracked as costs.

Financial Considerations as Related to Participant Perceived Value There are several different costs and metrics that may affect the financial considerations involved a participant's perceived value: - 1. Retail Price - 2. Project Costs -...

AI summary The text outlines key financial considerations affecting a participant's perceived value, including retail price, project costs, project payback, and incremental equipment costs. Incremental equipment costs are defined as the net present value of the difference between efficient and base case options, with the base case being critical for accurate analysis.

Participant Cost Test In evaluating a participant's purchase decision from a financial perspective, the PC test is a useful analysis to deploy. It assesses all of the direct financial considerations that a participant faces in making a pur...

AI summary The Participant Cost (PC) test evaluates whether the financial benefits of a technology or service outweigh the financial costs from the participant's perspective. Benefits include incentives, tax credits, and utility bill savings, while costs include purchase, installation, and maintenance expenses, excluding utility bill savings to avoid double-counting.

Customer Cost Threshold The Customer Cost theoretical threshold for incentive setting is based on a customer's perception of what they are paying for a product. There are several considerations that may go into determining Customer Cost (s...

AI summary The Customer Cost threshold is determined based on a customer's perception of the cost of an efficient option. Parameters such as retail price, project cost, incremental equipment cost, and participant cost test/payback analysis are considered. The choice of parameter depends on the customer type, the efficient option, and the replacement decision. Customer education is also emphasized to help customers understand the long-term benefits of efficient options.

Budget Threshold Measure level, program or portfolio budgets can also limit incentive levels. For example, for high-volume measures, there may be an overall budgetary restriction due to the volume risk of participation. Additionally, certa...

AI summary Budget thresholds can limit incentive levels in energy efficiency programs, particularly for high-volume measures. Jurisdictions may use unitary savings metrics like \/kWh to cap incentive spending. Commercial and industrial sectors generally have lower \/kWh spending compared to residential, requiring a balance to maintain program effectiveness within available budgets.

BEST-IN-CLASS In Canada, Ontario and British Columbia have the largest energy efficiency budgets and the longest history of designing and delivering energy conservation programs. They are also usually considered the leading provinces for p...

AI summary The document highlights Ontario and British Columbia as leaders in energy efficiency in Canada, with the largest energy efficiency budgets and longest history of delivering energy conservation programs. In the U.S., most jurisdictions rank highly in the ACEEE 2015 State Energy Efficiency Scorecard, except Maine, which is ranked 14th. These jurisdictions have long-term Energy Efficiency Resource Standards (EERS) to promote energy efficiency.

FINDINGS AND IDENTIFIED BEST PRACTICES Our jurisdictional research has shown that the majority of jurisdictions employ similar methodologies and approaches to setting incentives. All of the jurisdictions have broad program design, TRM and/...

AI summary The jurisdictional research highlights that most regions use similar methodologies for setting incentives, though no single consolidated process exists. EfficiencyOne already performs many of these steps, so the recommendations focus on detailed nuances. The process involves program design, TRM, and market research, with analysis conducted in parallel rather than sequentially.

Table 7: Research Engagement Phase Research and Engagement Phase Technology Research This research is conducted with the goal of understanding the savings opportunity for the technology, and to establish a range for the incentive level. Al...

AI summary This section discusses the Research and Engagement Phase, focusing on technology research to understand savings opportunities and establish incentive levels. It highlights the use of TRMs by various jurisdictions, including Efficiency Maine and Con Ed New York, and outlines the components of a TRM maintained by program administrators.

Year Residential Energy Savings (GWh) Business, Not for Profit and Institutional Savings (GWh) Residential Demand Reduction (MW) Business, Not for Profit and Institutional Demand Reduction (MW) Fully Allocated Residential Expenditure ($ mi...

AI summary The document presents tables summarizing energy savings and expenditures related to efficiency programs in Nova Scotia and other jurisdictions. It includes data on residential and business energy savings, demand reduction, and expenditure allocations from 2010 to 2014. It also compares unit costs of conservation and energy savings percentages across different regions.

After the end of the most recent DSM planning process, ENS's 2016-2018 savings targets and budgets are as follows: Year Savings (GWh) Expenditure ($ million) Unit Cost ($/kWh) 2016 133.1 $33.21 $0.25/kWh 2017 136.5 $34.02 $0.25/kWh 2018 13...

AI summary This document outlines ENS's energy efficiency savings targets and budgets for the years 2016-2018, including savings in gigawatt-hours and expenditures in millions of dollars. The data is presented in a table with unit costs per kilowatt-hour.

Year Annual Savings (GWh) Expenditure ($ million) Unit Cost ($/kWh) 2016 139.9 $50.5 $0.36/kWh 2017 141.7 $50.0 $0.35/kWh 2018 136.2 $52.4 $0.38/kWh Total 417.8 $152.9 $0.37/kWh Table 144 : Nova Scotia Achievable Potential Summary The numb...

AI summary Table 144 presents Nova Scotia's achievable potential summary, showing annual savings and expenditures from 2016 to 2018. The data indicates that ENS's current savings targets are nearly 100% of achievable potential, but the UARB-approved budget is only 50-70% of the forecasted required budget.

COST EFFECTIVENESS AND AVOIDED COSTS At the portfolio level, cost effectiveness is guaranteed since the combination of savings targets and budget is lower than the cost effectiveness threshold (provided that the persistence of the energy s...

AI summary The document discusses the cost effectiveness of energy efficiency programs, focusing on the Total Resource Cost (TRC) threshold of 1.0 set by ENS for each program. It highlights the inclusion of program administration costs in TRC screening and notes that other jurisdictions sometimes exclude these costs due to their variability. The approach is based on the 2015-2040 DSM Potential Study by Navigant Consulting.

EFFICIENCY NOVA SCOTIA'S PROGRAM PORTFOLIO The following table contains a summary of ENS's current programs, target market and incentive structure. Commercial customers are defined as businesses, not-for-profits and institutional customers.

AI summary This section introduces Efficiency Nova Scotia's (ENSC) program portfolio, targeting commercial customers such as businesses, not-for-profits, and institutional customers. It outlines the current programs, target market, and incentive structures.

Table 15 : ENS Program Overview Program Name Program Offer and Incentive Structure Type of Program (for CE modelling purposes) Appliance Retirement Residential customers receive a financial incentive for the old equipment that is being pro...

AI summary The document outlines two ENS programs: Appliance Retirement and Home Energy Assessment. The Appliance Retirement program provides financial incentives, free equipment pickup, and environmentally friendly decommissioning for residential customers. The Home Energy Assessment program offers subsidized assessments for electrically heated homes, with recommendations for energy efficiency upgrades and follow-up evaluations.

f Marginal Cheapness/Inexpensiveness (PMI) establishes the lower boundary. As the technology and consumer motivations for purchase evolve, the cumulative distribution curves will change, accordingly. The Van Westerndorp Prince Sensitivity...

AI summary The text discusses price sensitivity research, emphasizing the importance of understanding consumer reactions to pricing. It mentions the Van Westerndorp Prince Sensitivity Meter as one tool among many and notes that CLEAResult does not recommend a specific method, but advises using such research where incentive spending is significant.

4. What is the acceptable incentive threshold in terms of program budget? With respect to program budgets, there may be an acceptable incentive level threshold that is based on total expenditure or unit costs. For certain programs, this th...

AI summary The acceptable incentive threshold for program budgets may be based on total expenditure or unit costs, with some programs setting a maximum incentive or using a unit cost parameter like \/kWh. Budget considerations should set ceilings, but customer cost should remain the priority in determining incentive amounts.

Basis for Program Budget Incentive Threshold Customer and Decision Basis Suggested Upper Limit Low Income Customer, Direct Install Model $/kWh $1.20/kWh Residential Customer, Small Purchase at Retailer $/kWh $0.50/kWh Residential Customer,...

AI summary The document outlines suggested upper limits for program budget incentive thresholds for various customer types and purchase models, including low-income customers, residential customers, and commercial and industrial customers, with specific values per kWh and total incentives.

JURISDICTIONAL BENCHMARKING Jurisdictional benchmarking is not essential for existing incentives. The current program performance, historical experience and recommended research should provide a comprehensive analysis for incentive setting...

AI summary Jurisdictional benchmarking is not essential for existing incentives as current program performance and historical data provide sufficient analysis. However, it is recommended for new incentives to understand what other jurisdictions offer and how factors like market size and delivery approaches influence incentive levels.

http://energy.novascotia.ca/sites/default/files/Our-Electricity-Future.pdf General Principle Current Activities Recommended Activities Understand Financial Impacts EfficiencyOne conducts cost effectiveness testing using the TRC test. The T...

AI summary EfficiencyOne currently uses the TRC test for cost effectiveness at the measure and program levels, but does not conduct ex-post analysis. A new software system is being implemented to track measure implementations. Recommendations include improving incentive screening thresholds and increasing data tracking frequency for better budget risk insight.

Other Considerations for Business Energy Rebates Program From reviewing program operations, the Business Energy Rebates program tracks retail pricing through the application process. This allows program managers to understand if incentive...

AI summary The Business Energy Rebates program tracks retail pricing to ensure incentive levels are appropriate. It forecasts a high Program Administration Committee (PAC) score, assuming cost-effectiveness thresholds are not breached. However, the lack of customer/project information for Instant Rebates and challenges in aligning with local avoided costs may impact the program's effectiveness.

Measure 2014 Retail Price 2014 PMI 2014 PME Estimated 2016 Retail Price 2016 Cost to Consumer (Estimated 2016 Retail Price – Current Incentive) Estimated 2016 PME Cost to Consumer Less than PME? Current Incentive as % of Retail Price ENERG...

AI summary The table provides a comparison of retail prices, program measure incentives, and cost-to-consumer estimates for various energy efficiency products and measures between 2014 and 2016. It includes details such as incentives, cost reductions, and percentages of retail prices covered by incentives.

Program Budget Incentive Level Threshold As discussed in the Financial Impact Analysis section of the General Principles recommendations, a program that features residential customers making small purchases at retailers should use $/kWh fo...

AI summary The document discusses the program budget incentive level threshold for residential customers, suggesting a maximum of $0.50/kWh based on CLEAResult's recommendation, while EfficiencyOne currently uses $0.26/kWh. Program administration costs are estimated to be between 20-30% of total expenditures.

Cost to Customer Incentive Level Threshold As discussed in the Financial Impact Analysis section of the General Principles recommendations, a program that features commercial customers making either large capital equipment purchases or lar...

AI summary The document discusses the suggested upper limit for the cost to customer incentive level, recommending it should be no more than 50% of the project cost and no less than a one-year simple payback period for commercial customers making large capital or project purchases.

Measure Program Budget Incentive Threshold Current Program Budget Incentive Custom Project Retrofit Track $25,475 $24,106 Table 34: Program Budget Incentive Level Threshold for Average Project in Custom Retrofit

AI summary Table 34 presents the Program Budget Incentive Level Threshold for Average Project in Custom Retrofit, showing a threshold of $25,475 and a current incentive of $24,106.

Measure Energy Savings Persistence Cost Effectiveness Threshold Custom Project Retrofit Track 10 3.14 Custom Project Retrofit Track 15 4.50 Custom Project Retrofit Track 20 5.69 Table 35: Cost Effectiveness Incentive Level Threshold for Av...

AI summary Table 35 outlines the cost effectiveness incentive level thresholds for average projects in the Custom Project Retrofit Track, showing persistence levels of 10, 15, and 20 with corresponding thresholds of 3.14, 4.50, and 5.69 respectively.

As can be seen from the above analysis, the PAC is greater than 4.9 for measures that have an energy savings persistence greater than 15 years. The break-even point at current incentive and program administration cost targets is an energy...

AI summary The analysis shows that the Program Administration Cost (PAC) is greater than 4.9 for measures with energy savings persistence over 15 years. The break-even point is between 16-17 years. EfficiencyOne should consider energy savings persistence when evaluating project incentives.

Comparison of Current Incentive Level to Incentive Level Thresholds Measure Cost to Customer Program Budget Cost Effectiveness Incentive Level Incentive Level Incentive Level Threshold Exceeded? Threshold Exceeded? Threshold Exceeded? Cust...

AI summary This section compares the current incentive level to the incentive level thresholds for the Custom Project Retrofit Track across three measures: Cost to Customer, Program Budget, and Cost Effectiveness. The table indicates that none of the thresholds have been exceeded.

Table 37: Jurisdiction Overview Jurisdiction Current Framework Period Annual Savings Target Annual Budget ($ million) % Incentive Unit Cost of Savings Target Target per Retail Sales Residential Retail Rates Nova Scotia (ENS) 2016-2018 135....

AI summary Table 37 provides an overview of energy efficiency programs across various jurisdictions, including Nova Scotia, Ontario, British Columbia, California, and others. It outlines framework periods, annual savings targets, budgets, incentive percentages, unit costs of savings targets, and residential retail rates for each jurisdiction.

Electricity Market The following entities are the key players in the electricity system in Ontario. - Ontario Government Ministry of Energy - Ontario Energy Board (OEB) - Independent Electricity System Operator (IESO) - 72 Local Distributi...

AI summary The document outlines key players and responsibilities in Ontario's electricity market, including the Ministry of Energy, Ontario Energy Board (OEB), Independent Electricity System Operator (IESO), and Local Distribution Companies (LDCs). The IESO manages conservation efforts, sets savings targets, and oversees program delivery, while the OEB regulates LDCs and reviews rate applications.

Electricity Generation Ontario is a summer peaking province, with a peak load of 27,005 MW, which was recorded in August, 2006. Last year, the summer peak was over 22,000 MW. Some LDCs in Ontario are winter peaking. In 2015, total electric...

AI summary This text discusses Ontario's electricity generation and consumption patterns, noting that it is a summer peaking province with a peak load of 27,005 MW recorded in 2006. It also provides data on electricity consumption by sector and mentions the supply mix, though the figure is not included in the text.

Program Net Savings (GWh) Expenditure Appliance Retirement 58 Not available Retailer Coupons 280 Not available Heating & Cooling Incentive 174 Not available Home Assistance Program 55 Not available Other Residential Programs 5 Not availabl...

AI summary The document presents a table showing energy efficiency programs with their net savings and expenditures, followed by another table with TRC and PAC values for different program categories. The data provides insights into the performance of energy efficiency initiatives across residential, business, and industrial sectors.

FUTURE TARGETS The Conservation First Framework covers the time period from 2015-2020. The province-wide budget for the six years is $2.2 billion, of which LDCs are provided with $1.8 billion. The IESO retains some funds for central servic...

AI summary The Conservation First Framework (2015-2020) allocates a total budget of $2.2 billion, with $1.8 billion provided to Local Distribution Companies (LDCs). The total Ontario target for energy savings during this period is 8.7 TWh, with LDCs having a combined target of 7 TWh. Each LDC must develop a CDM plan aligned with their budget and target.

INCENTIVE LEVEL SETTING METHODOLOGY LDC Name Target (GWh) Budget Algoma Power Inc. 7.5 $2,107,963 Atikokan Hydro Inc. 1.1 $311,330 Attawapiskat Power Corporation 0.5 $148,832 Bluewater Power Distribution Corporation 62.4 $15,838,687 Brant...

AI summary The document outlines the incentive level setting methodology for Local Distribution Companies (LDCs), providing a table that lists each LDC's name, energy efficiency target in gigawatt-hours (GWh), and the corresponding budget allocated for these targets.

APPENDIX A-2: ONTARIO GAS (UNION GAS) Program Name Program Area Program Measures Links Heating & Cooling Incentive Residential This program features mail-in or online submission of rebates through participating HVAC contractors for qualify...

AI summary This appendix outlines a residential heating and cooling incentive program offering rebates for high-efficiency furnaces and central air conditioners. The incentives are based on up-front cost differences and program cost-effectiveness, with a specific equipment mix allocation.

Approved Approved Annual D SM Budgets Utility 2014 (Actuals) 2015 2016 2017 2018 2019 2020 2015-2020 Total Enbridge $ 32,511,266 $ 37,722,230 $ 56,361,117 $ 62,933,844 $ 67,554,087 $ 66,421,773 $ 67,757,376 $ 358,750,427 Union $ 33,713,172...

AI summary The document presents approved annual DSM budgets for Enbridge and Union from 2014 to 2020, along with overhead budgets and performance metrics. The gas utilities have developed targets and incorporated a weighted scorecard approach to evaluate program performance, emphasizing natural gas savings and broader conservation priorities.

Figure 23: Union Gas Targets & Performance Metric[s](#page-37-0) 4 Resource Acquisition Scorecard Metric Units Weight 2016 Target Metrics and Targets Metrics and Targets Cumulative Savings CCM (millions) 75% 1,110 Home Reno Rebate Particip...

AI summary The text presents Union Gas's performance metrics and targets for various programs, including cumulative savings, participant numbers, and energy efficiency initiatives. These metrics are organized into scorecards such as Resource Acquisition, Low Income, Market Transformation, and Performance Based, with specific targets for years 2016 and 2017-2018.

EXISTING MAIN PROGRAMS – UNION GAS [4](#page-37-1) Program Area Program Name Description Incentives Links Resource Acquisition C&I Prescriptive Program provides customers rebates for a list of recommended efficient technologies and equipme...

AI summary The document outlines existing main programs by Union Gas, including prescriptive and custom incentive programs for commercial and industrial customers aimed at promoting energy efficiency through rebates and incentives based on energy savings.

LOAD AND CONSUMPTION INFORMATION Peak Demand (2017 Forecast): 11,681 MW Consumption (2017 Forecast): 63,238 GWh o Residential: 19,761 GWh (31%) o Commercial: 17,815 GWh (28%) o Industrial: 19,016 GWh (30%)

AI summary The document presents 2017 forecasts for peak demand and electricity consumption in Nova Scotia, with peak demand at 11,681 MW and total consumption at 63,238 GWh. Residential, commercial, and industrial consumption account for 31%, 28%, and 30% respectively.

- 4. Net Levelized cost ($/kWh)1 = PV (costs all benefits except for electric energy benefits) / PV (energy savings) Benefits Costs Renovation Rebate Program5 Primarily focused on lowering space heating load, this program is targeted towar...

AI summary The text discusses two residential energy efficiency programs: the Renovation Rebate Program, which provides incentives for energy-efficient retrofits in electrically heated homes, and the New Home Program, which encourages the construction of homes exceeding B.C. Building Code energy efficiency standards. Both programs offer financial incentives based on energy performance metrics.

CALIFORNIA ENERGY EFFICIENCY PROGRAM INCENTIVE & COST EFFECTIVENESS POLICY California has long been recognized as one of the leading jurisdiction in North America regarding the regulatory standards and policies established to guide the des...

AI summary California's CPUC has introduced a 'Rolling Target' system for energy efficiency programs, requiring IOUs to submit annual budgets and a 'business plan' every five years. PAs are funded with approximately $1B in ratepayer funds for energy efficiency and conservation programs.

Avoided Costs Within California, the avoided costs of electricity are generated by E3 for a 20-year period based on the following components: generation energy, generation capacity, ancillary services, transmission and distribution capacit...

AI summary The text discusses avoided costs in California, including electricity and natural gas, calculated by E3 over a 20-year period. Components include generation, capacity, environment, and renewable standards. The model is periodically updated, with the most recent update in 2011.

Please see Table below which details what factors are taken into account when examining each avoided cost component in California: Component Basis of Annual Forecast Basis of Hourly Shape Generation Energy Forward market prices and the $/k...

AI summary The table outlines factors considered in examining avoided cost components in California, including generation energy, capacity, ancillary services, T&D capacity, environment, and avoided RPS, with details on their annual forecast and hourly shape bases.

Budget & Spending PG&Es total budget spending on energy efficiency programming (including Codes & Standards funding and On-Bill Financing) achieved through actual expenditures of $1.53B vs. a budget of $1.68B. This is to be commended given...

AI summary PG&E's total budget spending on energy efficiency programming, including Codes & Standards funding and On-Bill Financing, was $1.53B, achieving its targets despite a budget of $1.68B. This performance is acknowledged as commendable.

2. Work Paper Once measure level data is acquired from the market, the Products organization will engage its engineering staff to produce a Work Paper. The Work Papers, similar to TRMs found in other jurisdictions, are documents which deta...

AI summary The Work Paper is a document created by the Products organization to detail how measure savings are calculated, including EM&V protocols and measure costs. Once approved by the Commission, the measure can be offered in a PA's program portfolio. Incentive rates are determined separately by the PA and reviewed with the CPUC through Program Implementation Plans. Incremental costs for measures are calculated based on technology maturity and market penetration.

Energy Trust of Oregon Funding Through state legislation, tariffs and other requirements, Energy Trust is funded by customers of Portland General Electric, Pacific Power, NW Natural and Cascade Natural Gas. Customers of all four utilities...

AI summary Energy Trust of Oregon is funded by customers of Portland General Electric, Pacific Power, NW Natural, and Cascade Natural Gas through a public purpose charge and state legislation. Energy Trust delivers energy-efficiency and renewable energy programs, with increased savings and funding after the passage of SB 838 in 2008. Expenditures rose from $63 million in 2008 to $117 million in 2013.

Below are the annual budgets and targets presented by the Energy Trust in its Annual Budget and Action Plans referred to below. 2013 2014 2015 2016 Electricity Efficiency $125,804,504 $130,262,893 $130,359,188 $141,288,266 Gas Efficiency $...

AI summary The Energy Trust provides annual budgets and targets for electricity and gas efficiency from 2013 to 2016, with total efficiency budgets increasing over the years, reaching $167.6 million in 2016.

Below are the incentive-to-administration expense ratios by year obtained from the annual approved budgets for the Energy Trust's Annual Budget and Action Plans. The expenses listed are related to energy efficiency. Please note that "admin...

AI summary The text discusses the incentive-to-administration expense ratios by year from the Energy Trust's annual approved budgets, focusing on energy efficiency. Administration costs include both Energy Trust's program management and third-party delivery agent costs, while incentives relate to product incentives and direct services like audits.

Costs The OPUC has defined that the following elements be considered when determining the costs from the societal perspective 15 (i.e., Total Resource Cost): - 1. Total cost of efficiency measures and actions 16 , including costs to the En...

AI summary The OPUC outlines the elements to consider when determining societal costs, including total efficiency measure costs, Energy Trust administrative and program management costs. It clarifies that utility system tests include only Energy Trust incentives and associated administrative costs, while excluding tax credits and certain program costs paid by federal or state agencies.

COST EFFECTIVENESS – NATURAL GAS The current market condition for natural gas prices (i.e., low price environment) has caused the Energy Trust and PUCs to reexamine gas measures over the last few years. The Energy Trust has been able to ca...

AI summary The Energy Trust and PUCs are reevaluating natural gas measures due to low gas prices. Order 94-950 provides relief based on Commission policy, allowing the Energy Trust to apply specific cost effectiveness guidelines for its gas energy efficiency portfolio.

Measure Assumptions Document (MAD) What is a MAD: It is the decision of record determining measure cost effectiveness and authorizing use of a measure. The measure is clearly defined along with the conditions under which it is approved. Th...

AI summary The Measure Assumptions Document (MAD) is a formal decision outlining the cost-effectiveness of energy efficiency measures and authorizing their use. It includes sections such as scope, program applicability, description of the measure, cost effectiveness, and requirements. All MADs are approved by Energy Trust engineering staff after analysis by delivery contractors.

Incentive Setting Considerations When setting a measure incentive the following components are some of the key considerations taken by the Energy Trust and their program delivery agents: - Relationship of incentive to measure incremental c...

AI summary The Energy Trust considers several factors when setting measure incentives, including the relationship to incremental costs, market uptake, and portfolio cost effectiveness. It was noted that setting incentives is complex and requires regular updates. The Energy Trust follows a guideline for maximum LUEC and is evaluated against annual performance measures set by the Commissions.

Figure 43: Overall Targets 2007 - 20158 Energy Efficiency Savings (GWh) 2007 2008 2009 2010 2011 2012 2013 2014 2015 Statewide Goals 1 New York State 15 x 15 Goals 564 1,471 3,991 7,263 10,631 14,082 17,608 21,222 24,927 NYSERDA SBC III Cu...

AI summary The text presents energy efficiency savings targets and program budgets from 2007 to 2015 in New York, highlighting statewide and jurisdictional goals, as well as program funding for electric and gas initiatives. It includes data on energy efficiency potential studies, such as the Con Edison Energy Efficiency Study 2010 and the Optimal Energy Efficiency Study 2008.

Program Analysis Initiatives Target Market Incentive Setting Methodology Neighborhood (Electric) Delivers energy-saving and management solutions to local communities where the demand for electricity is expected to grow significantly becaus...

AI summary The Neighborhood Program by Con Edison provides energy-saving solutions and incentives to local communities with growing electricity demand. It includes free lighting, water heating, and refrigeration products for small businesses and apartment buildings, as well as a partnership with NYSERDA for combined heat and power (CHP).

Cost Effectiveness Testing Under the EEPS, NYSEDRA was required to conduct cost effectiveness testing at the project level. The TRC is used as the cost effectiveness test. Prior to the implementation of the EEPS, the TRC was applied at the...

AI summary Under the Energy Efficiency Portfolio Standard (EEPS), the New York State Energy Research and Development Authority (NYSERDA) was required to perform cost effectiveness testing at the project level using the Total Resource Cost (TRC) metric. Previously, under the Clean Energy Fund (CEF), the TRC was applied at the program level, and this approach will be reinstated.

Avoided Costs The benefits calculated in the TRC are the avoided supply costs. For NYSERDA, the avoided supply costs include the reduction in costs of electric energy, natural gas, generation and transmission, and distribution capacity, va...

AI summary The benefits calculated in the TRC are the avoided supply costs, which include reductions in electric energy, natural gas, generation, and distribution capacity costs. These avoided costs are valued at marginal cost during periods of load reduction and are provided by the NY-ISO.

ENERGY EFFICIENCY PROGRAMMING Energy efficiency programs are typically set on three year funding cycles, approved by the Public Services Commission. Programs cover both the residential and commercial sectors, and cover various fuel types....

AI summary Energy efficiency programs in Nova Scotia are funded on a three-year cycle approved by the Public Services Commission, covering both residential and commercial sectors and various fuel types. The provided numbers are specific to electricity conservation programs.

Previous Results (Savings, Expenditure, Cost Effectiveness) Year Electricity Savings Expenditure Cost Effectiveness 2013 Not Available Not Available Not Available 2014 Not Available Not Available Not Available 2015 Not Available Not Availa...

AI summary The document outlines previous results and future targets related to electricity savings, expenditure, and cost effectiveness. However, data for the years 2013 to 2018 is not available. It also mentions an incentive level setting methodology, though details are not provided.

VERMONT ENERGY EFFICIENCY PROGRAM INCENTIVE AND COST EFFECTIVENESS POLICY Vermont is viewed as one of the leading jurisdictions for promoting conservation in North America. Vermont Energy Investment Corporation (VEIC) has won multiple awar...

AI summary Vermont's energy efficiency programs are managed by VEIC, which negotiates energy efficiency budgets with the PSB. These budgets are set in three-year cycles and are based on cost-effective energy savings. The 2015-2017 cycle has a savings target of 321,800 MWh and a total resource benefits target of $336.3 million.

The total budget for all of Efficiency Vermont's portfolio from 2015-2017, including the performance award is indicated below: DESCRIBCE ACCURISITION RESOURCE ACQUISITION Electric Efficiency . 1 Business Sector 201 _ 2016 2017 2015-2017 Bu...

AI summary The document outlines the total budget for Efficiency Vermont's portfolio from 2015 to 2017, including the performance award. It includes detailed breakdowns of expenditures across various sectors and activities, such as electric efficiency, thermal energy efficiency, and non-resource acquisition activities.

2012 2013 2014 2012–2014 Total Energy savings in megawatt- hours (MWh) 110,179 85,582 91,146 286,907 Total Resource Benefits 2 $118,358,445 $83,830,177 $82,101,439 $284,290,061 U.S. tons of carbon dioxide emissions avoided through efficien...

AI summary The document presents energy savings and performance indicators for the period 2012–2014, including energy savings in MWh, total resource benefits, and carbon dioxide emissions avoided through efficiency programs. It also outlines key quantifiable performance indicators (QPIs), such as electric savings, demand reduction, and the ratio of benefits to spending.

Efficiency Vermont's spending for 2013 and 2014 is provided below: Prior Year Current Year 2014 Cumulative starting 1/1/12 Cumulative starting 1/1/12 # participants with installations 37,483 54,135 131,094 131,094 Operating Costs Administr...

AI summary Efficiency Vermont's spending for 2013 and 2014 is detailed, including operating costs, technical assistance costs, support services costs, and incentive costs, along with metrics such as MWh savings and cost-effectiveness ratios.

EFFICIENCY VERMONT CORE PROGRAM OFFERINGS (RESIDENTIAL AND BUSINESS) Program Name Program Area Program Measures (Prescriptive Incentives) Links Agricultural Equipment Rebates Agricultural (Commercial)  Lighting  Equipment Rebates are pai...

AI summary The document outlines Efficiency Vermont's core program offerings for residential and business customers, focusing on rebates for agricultural equipment and appliances. Rebates are paid after purchase and submission of a rebate form, with products qualifying based on a list or specifications.

Figure 49: Number of Customer Accounts 2 Maine T2 All sectors 805,178 806,103 806,950 819,638 Residential (24) 709,288 710,160 710,988 721,508 ··· Commercial 72 92,844 92,884 92,896 95,047 ···· Industrial (2) 3,046 3,059 3,066 3,083 Transp...

AI summary Figure 49 presents the number of customer accounts in Maine across different sectors from 2015, showing an increase in residential and commercial accounts. Figure 50 lists customer rates for residential, commercial, and industrial sectors in 2015, with Efficiency Maine providing specific rates. The data is sourced from a 2015 annual report.

MARKET STRUCTURE OVERVIEW The Efficiency Maine Trust Act came in effect in 2009 and is responsible for Efficiency Maine's inception as an independent Trust. Their purpose is to develop, plan, coordinate, and implement energy efficiency/alt...

AI summary The Efficiency Maine Trust Act, effective since 2009, establishes Efficiency Maine as an independent entity responsible for energy efficiency programs. The Trust sets long-term energy savings goals, develops triennial plans, and ensures programs meet cost-effectiveness criteria. Funding comes from ratepayers, the Forward Capacity Market, and utility contracts. Energy efficiency is identified as the lowest-cost energy resource in Maine, with specific cost metrics provided.

Figure 57: 2011-2015 Gas Savings Result [11](#page-109-0) Year Total (MMBtu) 2011 16,115 2012 1,845 2013 12,169 2014 30,839 2015 19,274 Total 80,242 Figure 58: Gross Electricity Savings 12 Program Annual kWh Savings Lifetime kWh Savings Ef...

AI summary The document presents data on gas savings from 2011 to 2015 and electricity savings from various programs in Efficiency Maine. The figures highlight the total energy savings and associated costs and benefits of different initiatives.

Figure 59: Gross Gas Savings [12](#page-110-0) Program Annual MMBtu Savings Lifetime MMBtu Savings Efficiency Maine Costs Participant Cost Lifetime Energy Benefit Cost/MMBTu (Lifetime) Benefit-to- Cost Ratio Business Incentive Program Natu...

AI summary This table presents the gross gas savings and related costs and benefits for various energy efficiency programs in Maine, including business incentives, low-income initiatives, home energy savings, and multifamily efficiency programs. The data includes annual and lifetime savings in MMBtu, program costs, and benefit-to-cost ratios.

Avoided Costs TRC: The benefits included are the avoided costs of energy. Efficiency Maine participated in the AESC Study Group, which partnered with Tabors Caramanis Rudkevich for a study on marginal energy supply costs that are avoided d...

AI summary The text discusses avoided costs related to energy efficiency programs, including benefits such as reduced resource requirements, infrastructure costs, and wholesale market prices. Efficiency Maine uses avoided costs from the AESC Study for cost-effectiveness testing, and the study is updated every three years.

Costs TRC at the Program level: - Costs incurred by program participants (Incremental Equipment Costs) - Costs of running the energy efficiency programs (delivery and administration costs) TRC at the Measure level: Costs incurred from the...

AI summary The document outlines different cost categories at the Program and Measure levels for energy efficiency programs, including incremental equipment costs, delivery and administration costs, and incentive costs under both TRC and PACT frameworks.

Figure 61: Benefit- Cost Ratios: Electric Programs 2015 [12](#page-110-0) Adjusted Gross Benefit-to-Cost-Ratio Net I Benefit-to-Cost-F Ratio Programs TRC PACT Last Evaluation Net to Gross Ratio TRC PACT Business Incentive Program Electric...

AI summary Figure 61 and Figure 62 present benefit-cost ratios for electric and natural gas programs in 2015, including programs such as the Business Incentive Program and Low-Income Direct Install Initiative. These figures highlight the adjusted gross benefit-to-cost ratios and net-to-gross ratios for various programs, providing insights into their cost-effectiveness.

Figure 63: Electric Program Expenditures 2015 [12](#page-110-0) Program Incentive Delivery Total Business Incentive Program Electric Measures $15,642,304 $1,520,601 $17,162,905 Large Customer Program Electric Measures $6,439,194 $544,245 $...

AI summary Figure 63 presents electric program expenditures in 2015, detailing various programs and their associated incentive, delivery, and total costs. Programs include business incentives, home energy savings, low-income initiatives, and cross-cutting strategies, with total expenditures reaching over $45 million for electric measures and additional costs for natural gas and other fuels.

Overview of Electricity Market The following entities make up the electricity system in Massachusetts. - National Grid - Massachusetts Government: Office of Energy and Environmental Affairs: Department of Public Utilities (DPU) - Mass Save...

AI summary The electricity system in Massachusetts includes entities such as National Grid, the Department of Public Utilities, and ISO New England. National Grid submits multi-year energy efficiency plans to the Department of Public Utilities, which oversees utility services, ensuring reliability, safety, and affordability for customers.

MASSACHUSETTS ENERGY EFFICIENCY PROGRAM INCENTIVE AND COST EFFECTIVENESS POLICY Massachusetts is viewed as one of the leading jurisdictions for promoting energy efficiency in North America. It is ranked as the #1 jurisdiction in ACEEE's 20...

AI summary Massachusetts is a leader in energy efficiency, with aggressive targets and a three-year planning cycle mandated by the Green Communities Act. The state aims to achieve 2.6% of retail sales in energy efficiency savings by 2015, with funding coming from sources like the Systems Benefit Charge and cap-and-trade programs. A portion of the budget is dedicated to low-income programs.

NATIONAL GRID CORE PROGRAM OFFERINGS (RESIDENTIAL AND BUSINESS) Program Name Program Area Program Measures Links Small Business Program Commercial  For customers with a demand under 300 kW, offer a free audit for identifying energy saving...

AI summary The document outlines National Grid's core program offerings for residential and business customers, focusing on energy efficiency initiatives such as free audits and incentives for retrofitting equipment. It includes program names, areas, measures, and links for further information.

1. Measure Library Section (from TRM process recommendation in report) This section should include the details of each measure in the portfolio, or measures being considered. - Efficient Technology Name; - Efficient Technology Description;...

AI summary This section outlines the structure for documenting measures in the measure library, including details such as technology names, descriptions, wattage, penetration estimates, pricing, and cost-effectiveness parameters. It emphasizes the need for clear identification of program-dependent parameters and the inclusion of cost and energy savings data.

Inputs - Avoided Supply Costs (energy and capacity); - Local Avoided Supply Costs (energy and capacity); - Fixed Program Administration Costs; - Year of Implementation; - Measure Participation; - Variable Costs; - Annual Operating Costs (F...

AI summary The text lists various cost and efficiency-related factors and metrics used in energy programs, including avoided supply costs, program administration costs, energy savings, and financial parameters such as discount and inflation rates.

Outputs - Total Gross Energy Savings; - Total Gross Demand Reduction; - Total Net Energy Savings; - Total Net Demand Reduction; - TRC Benefits; - TRC Costs; - TRC Net Benefits; - TRC Ratio; - PAC Benefits; - PAC Costs; - PAC Net Benefits;...

AI summary The text lists various outputs related to energy efficiency and demand reduction, including total gross and net energy savings, demand reduction, TRC and PAC benefits and costs, and levelized unit costs. These metrics are used to evaluate the performance and economic impact of energy programs.

Scope: The scope of the internal audit included assessing the design and operating effectiveness of 6 key controls identified by EfficiencyOne, covering 14 control activities in EfficiencyOne's control matrix for BER-IR. The focus was to a...

AI summary The internal audit evaluated the design and operating effectiveness of 6 key controls in EfficiencyOne's BER-IR program from January 1, 2022, to October 31, 2022, focusing on compliance with internal processes and risk management.

t ing R ort ide nti fie d b the ot he nly e h th Ad dit ion ally thi th d f rep or g a mo un orm on re ca pe ep y r a s o on as e s m ay re mo ve e n ee or , nts . F the B rd Op tin Re rt, the B ER -IR da ta to rfo th alc ula tio ica tio f...

AI summary The document discusses the analysis of Business Energy Rebates – Instant Rebates (BER-IR) data and its use in calculating the accuracy of Business Energy Rebates – Annual Rebates (BER-AR) efficiency. It also references a table and mentions processes related to validation and program management.

- 16 ii) Please refer to part (b) of this IR response. 1 Request IR-24: 2 3 Evidence – Exhibit E-1, pp.1-71 (pdf pp. 8-78) 4 5 Exhibit E-1, page 56 of 71(pdf pg. 63), Table 7: 2027-2031 Plan – Portfolio Level Insights 6 7 (a) E1 notes that...

AI summary The document addresses two requests related to EfficiencyOne's (E1) 2027-2031 DSM Plan. It notes that 42% of residential energy efficiency program investment is dedicated to low-income and equity programs and explains that annual investment in the DSM Plan is constrained to the 2026 approved level of $63.75 million per year, resulting in downward trends in energy savings metrics.

M12780 – EfficiencyOne (E1) 2027–2031 Demand Side Management (DSM) Resource Plan Application 1 customers, consistent with considerations applied across both the Preferred Plan and 2 the Alternate Scenario. 3 4 Appendix A, Attachment 3 of E...

AI summary EfficiencyOne (E1) has submitted a 2027–2031 Demand Side Management (DSM) Resource Plan Application. The Preferred Plan targets 435.4 GWh of incremental cumulative net energy savings, which is at the lower end of APEX's recommended range of 0.8% to 1.0% of NS Power's load. E1's response explains that the target was determined through modelling software and is considered conservative and achievable.

8 2.1 EFFICIENCYONE SOURCES Internal Reference Full Citation Custom Incentives Econoler et al, EfficiencyOne – Custom Incentives Program – Final Report Evaluation 2022 – 2022 DSM Evaluation, March 2023 Custom Incentives Econoler et al, Eff...

AI summary The text lists various reports and evaluations related to EfficiencyOne's programs, including the Custom Incentives Program, DSM evaluations for 2022, 2024, and 2025, and the Existing Residential Program. These reports are compiled by Econoler et al and Apex Analytics, and they are referenced in the context of EfficiencyOne's operations and performance assessments.

3.1 ANH_RETRO CUSTOM – EQUITY DESERVING - RETROFITS - Custom provides large business, non-profit, and institutional (BNI) participants with technical assistance, - financial incentives, and project financing to help reduce their electricit...

AI summary The Custom program provides technical assistance, financial incentives, and project financing to large businesses, non-profits, and institutions to reduce electricity consumption and peak demand. It includes Retrofit, New Construction, Building Optimization, and Pay-for-Performance services, with a new service for low-income and equity groups under consideration for the 2027-2031 DSM plan. EfficiencyOne claims savings for certain Custom projects over multiple years.

3.2 CUS-NC_001 CUSTOM – NEW CONSTRUCTION - Custom provides large business, non-profit, and institutional (BNI) participants with technical assistance, - financial incentives, and project financing to help reduce their electricity consumpti...

AI summary The Custom – New Construction program provides technical assistance, financial incentives, and project financing to large businesses, non-profits, and institutions to reduce electricity consumption and peak demand. Eligible projects must meet specific size and energy savings criteria, and EfficiencyOne claims savings based on phased project completion.

1 3.2.3 MEASURE LIFE - 2 Value: 19 Years - Source: Derived based on information in Table 19[2](#page-61-3) 3 from the Custom Incentives Evaluation 2024. - 4 Details: To estimate the EUL, E1 divided Total gross lifetime energy savings at th...

AI summary The document discusses the estimation of the Energy Unit Life (EUL) based on data from Table 19 and the Custom Incentives Evaluation 2024, with a value of 19 years derived from total gross lifetime energy savings at the generator divided by total annual energy savings.

12 3.2.5 INCREMENTAL COST - 13 Value: $382,537.50 (in $2025) - 14 Unit: per GWh saved - 15 Source: Refer to CUS_IND_001 - 16 Details: The incremental cost for this measure is assumed to be consistent with CUS_IND_001. 2 2024 Custom Incenti...

AI summary The incremental cost for a specific energy efficiency measure is valued at $382,537.50 per GWh saved in 2025, based on data from CUS_IND_001 and evaluations from 2024 and 2025 Custom Incentive Evaluations.

3.2.6.1 Energy Savings (kWh) Value: 1,000,000 Source: By construction. - Details: Due to the heterogenous nature of this bundled measure, the unit basis of "per GWh of savings" - is used to determine the appropriate costs and incentives ne...

AI summary The chunk discusses energy savings of 1,000,000 kWh, measured using a unit basis of 'per GWh of savings' to determine the costs and incentives required to achieve 1 GWh of savings, due to the heterogenous nature of the bundled measure.

Source: Derived based on information in Table 19[4](#page-62-1) from the 2024 Custom Incentives Evaluation. Partial Savings Claimed Final Savings for Projects Fully Claimed in 2024 Total Number of Projects 1 27 28 Energy Savings Tracked Gr...

AI summary The table presents data on energy and peak demand savings from the 2024 Custom Incentives Evaluation. It includes metrics such as gross energy savings, adjustment ratios, line loss factors, and effective useful life for projects fully claimed in 2024. The data is used to evaluate the impact of energy efficiency initiatives.

3 3.3.2 KEY SOURCES FOR MEASURE INPUT DEVELOPMENT - The primary sources of values for measure input development are Table 11[6](#page-64-2) and Table 16[7](#page-64-3) 4 from the 2024 - 5 Custom Incentives Evaluation, as well as historical...

AI summary The primary sources for measure input development are Table 11 and Table 16 from the 2024 Custom Incentives Evaluation, along with historical project-level program results.

Value: 9.094 Source: Derived based on information in Table 11[8](#page-66-1) from the 2024 Custom Incentives Evaluation. Details: To estimate the EUL, E1 calculated the average EUL of the three categories of Retrofit program measures (Part...

AI summary The document discusses the estimation of EUL based on the 2024 Custom Incentives Evaluation, using data from Table 11 to calculate the average EUL of three Retrofit program categories, weighted by their lifetime gross savings.

11 3.3.6.2 Coincident Peak Demand Savings (kW) - 12 Value: 100.79 - 13 Source: Derived based on 2024 Custom Incentives Evaluation project level data. - 14 Details: This value was calculated by dividing the evaluation adjusted project-level...

AI summary This section provides the value of Coincident Peak Demand Savings (kW) as 100.79, derived from 2024 Custom Incentives Evaluation project-level data. The value was calculated by dividing the evaluation adjusted project-level 2024 Gross Peak Demand Savings at the Meter by the evaluation adjusted project-level 2024 Gross Energy Savings at the Meter for Custom Industrial Retrofit.

- Incentives Evaluation. This table is reproduced below. _ Final Savings for Projects Fully Claimed in 2022 Final Savings for Multiyear Projects Total Number of Projects 22 58 80 Energy Savings Tracked Gross Energy Savings – at the Meter (...

AI summary The document presents a table evaluating incentives based on energy and peak demand savings, including metrics like gross energy savings, adjustment ratios, and effective useful life. It focuses on the evaluation of program outcomes and their impact on energy efficiency.

Value: 11.20 Years - Source: Derived based on information in Table 21[15](#page-74-3) from the 2022 Custom Incentives Evaluation. - Details: To estimate the EUL, E1 divided Total gross lifetime energy savings at the generator by Total annu...

AI summary The estimated Effective Useful Life (EUL) is 11.20 years, derived from Table 21 in the 2022 Custom Incentives Evaluation by dividing total gross lifetime energy savings at the generator by total annual energy savings.

- gross energy savings at the meter, as shown in the table below. 2022 Custom Incentive Evaluation, Evaluated Gross Savings, Table 21: Evaluated 2022 P4P Gross Energy and Peak Demand Savings, page 32 (PDF 663/1087) 2022 Custom Incentive Ev...

AI summary The text discusses gross energy savings at the meter, including a table that outlines evaluated gross savings from the 2022 Custom Incentive Evaluation. It provides data on energy savings at the generator level and measure life calculations.

7 3.5.5 INCREMENTAL COST 8 Value: $255,025.00 (in $2025) 9 Unit: per GWh saved 10 Source: Refer to CUS_IND_001 11 Details: The incremental cost for this measure is assumed to be consistent with CUS_IND_001. 12

AI summary The incremental cost for the measure is valued at $255,025.00 per GWh saved, based on data from CUS_IND_001. This figure represents the cost associated with implementing energy efficiency measures.

3.6 CUS-BO__001 CUSTOM – BUILDING OPTIMIZATION - Custom provides large business, non-profit, and institutional (BNI) participants with technical assistance, - financial incentives, and project financing to help reduce their electricity con...

AI summary Custom offers building optimization services to BNI participants, including technical and financial support for investigations and low-cost energy efficiency measures. EfficiencyOne claims savings for Custom projects based on phased implementation, with measure characteristics normalized on a per GWh basis.

3 3.6.2 KEY SOURCES FOR MEASURE INPUT DEVELOPMENT - The primary source of the values for measure input development is Table 24 [18](#page-78-2) 4 from the 2024 Custom - 5 Incentives Evaluation. This table is reproduced below.

AI summary The primary source for measure input development is Table 24 from the 2024 Custom Incentives Evaluation, which is reproduced below.

3.6.3 MEASURE LIFE - Value: 1.76 Years - Source: Derived based on information in Table 24[19](#page-79-3) from the 2024 Custom Incentives Evaluation. - Details: To estimate the EUL, E1 divided Total gross lifetime energy savings at the gen...

AI summary The document provides a measure of Effective Useful Life (EUL) for a program, calculated as 1.76 years based on data from Table 24 in the 2024 Custom Incentives Evaluation. The EUL was estimated by dividing total gross lifetime energy savings by total annual energy savings.

3.6.6.1 Energy Savings (kWh) Value: 1,000,000 Source: By construction. - Details: Due to the heterogenous nature of this bundled measure, the unit basis of "per GWh of savings" - is used to determine the appropriate costs and incentives ne...

AI summary This section discusses energy savings measured in kWh, with a value of 1,000,000. The savings are calculated using a unit basis of 'per GWh of savings' to determine the costs and incentives required to achieve 1 GWh of savings, due to the heterogenous nature of the bundled measure.

3 3.7.2 KEY SOURCES FOR MEASURE INPUT DEVELOPMENT - The primary source of the values for measure input development is Table 32[22](#page-82-3) 4 from the 2024 Custom - 5 Incentives Evaluation. This table is reproduced below.

AI summary The primary source for measure input development values is Table 32 from the 2024 Custom Incentives Evaluation, which is reproduced below.

6 New Projects Continuing Projects Total Number of Projects 1 6 7 Energy Savings Tracked Gross Energy Savings (GWh) 1.186 3.083 4.269 Adjustment Ratio for Energy Savings 1.000 0.999 1.000 Gross Energy Savings – at the Meter (GWh) 1.186 3.0...

AI summary The table presents data on energy savings and peak demand savings for new and continuing projects. It includes metrics such as gross energy savings, adjustment ratios, line loss factors, and equivalent effective useful life, providing an overview of the performance of these projects.

- E1 for this service. This was based on tracked program data for the program. Input Description 2022 2023 2024 A Evaluated Gross at meter Energy Savings (GWh) 3.177 3.381 4.478 B Total Incentives $442,679 $498,179 $552,292 C = B /A Total...

AI summary The table provides data on energy savings and incentives for E1, showing increasing energy savings and incentives from 2022 to 2024, with a calculated unit cost that fluctuates over the years.

3.7.6.1 Energy Savings (kWh) - Value: 1,000,000 - Source: By construction. 2024 Custom Incentive Evaluation, Net Savings, page 68 (PDF 840/1442) - 1 Details: Due to the heterogenous nature of this bundled measure, the unit basis of "per GW...

AI summary The section discusses energy savings in kWh, highlighting 1,000,000 kWh of savings achieved through a bundled measure. The savings are calculated on a per GWh basis, reflecting the heterogenous nature of the measure and the costs and incentives required to achieve 1 GWh of savings.

3 3.7.6.2 Coincident Peak Demand Savings (kW) 4 Value: 120.2 - Source: Derived based on information in Table 32[24](#page-84-0) 5 from the 2024 Custom Incentives Evaluation. - 6 Details: This value was calculated by dividing the Gross Peak...

AI summary The value of 120.2 for Coincident Peak Demand Savings (kW) is derived from Table 32 in the 2024 Custom Incentives Evaluation. It is calculated by dividing the Gross Peak Demand Savings at the Meter by the Gross Energy Savings at the Meter.

3.8 BER-AR__LGT_INHORT_001__0 AR - INDOOR - HORTICULTURAL LIGHTING - BER provides financial incentives in the form of prescriptive rebates or financing to business, non-profit, - and institutional (BNI) participants to foster reductions in...

AI summary The BER program provides rebates and financing to BNI participants in Nova Scotia to reduce electricity consumption and peak demand. The program includes Application Rebates and Instant Rebates, with different eligibility criteria and participant details tracking capabilities. Distributors play a key role in promoting and supporting the program.

- is reproduced below. BER-AR Parameter Retrofit New Construction Reference Measure Description and Identification Measure Description Horticultural after installat lighting rebated tion - Baseline Existing lighting Metal halide HID fixtur...

AI summary This table provides parameters related to the Business Energy Rebates (BER) and Application Rebates (AR) program, including measure descriptions, baseline conditions, installation rates, effective useful life, and energy savings parameters for lighting retrofits and new construction.

3.8.6.1 Energy Savings (kWh) - Value: 2,058.18 - Source: Value is an average or recent tracked evaluated savings for this measure. - Details: In practice, energy savings calculations are based on specification data for each rebated unit. -...

AI summary This section discusses energy savings measured in kilowatt-hours, with a value of 2,058.18 derived from an average or recent evaluation. Energy savings are calculated based on specification data for rebated units, with specific equations and parameters outlined in the 2024-2025 Measure Assessment under the Horticultural Lighting Measure.

$$Unitary\ Peak\ Demand\ Savings\ [kW] = \frac{(W_b[W] \times Qty_b[-] - W_e[W] \times Qty_e[-]) \times PCF \times IE_{PD}}{1.000}$$ ВЕ R-AR Parameter Symbol Retrofit New Construction Reference Peak Coincidence Factor [-] PCF Actual ctual...

AI summary The document presents a formula for calculating unitary peak demand savings, along with a table outlining parameters and their values. It references the 2024 DSM Evaluation Reports and mentions BER (Business Energy Rebates) providing financial incentives for energy-efficient measures, such as small ductless mini-split heat pumps.

3 3.9.2 KEY SOURCES FOR MEASURE INPUT DEVELOPMENT - 4 The primary source of the values for measure input development is recent BER-AR program tracking data - 5 for this measure. 6 - 7 3.9.3 MEASURE LIFE - 8 Value: 18 Years - 9 Source: Assu...

AI summary This section outlines key sources for measure input development, including BER-AR program tracking data, an 18-year effective useful life for residential ductless mini-split heat pumps, a net-to-gross value of 0.83, and incremental costs of $4,324.22 per heat pump. Energy savings and peak demand savings are also provided based on tracked data.

4.1 AMFH__HVAC_HP_001__0 AIR-SOURCE HEAT PUMP - DUCTED AND NON-DUCTED (NOT MODELLED) - AMFH provides affordable housing owners and non-profit organizations, such as rehabilitation or - transition houses, with incentives for building-wide e...

AI summary The AMFH program offers incentives for energy retrofit projects in affordable housing and non-profit organizations. Projects can follow either a comprehensive path, which uses energy modeling tools, or a prescriptive path, where savings are calculated using E1's internal tools. Energy audits are required for non-prescriptive projects.

4.1.4 NET TO GROSS Value: 1.0 Source: As set out in the 2024 DSM Program Evaluation Reports, [31](#page-93-6) free-ridership and spillover effects are nil since participants are non-profits or low-income housing owners with limited budgets...

AI summary The document discusses the Net to Gross (NTGR) value of 1.0 applied to the 2024 DSM Program Evaluation Reports due to nil free-ridership and spillover effects from participants in non-profit or low-income housing. It also outlines the direct installation cost, energy savings, and coincident peak demand savings associated with the program. The Efficient Product Installation (EPI) program is highlighted, focusing on the installation of energy-efficient products and its role in residential demand response.

- Value: $5,610.55 (in $2025) - Unit Basis: per project - Source: Per E1 program tracking. - Details: This value is an average cost per measure developed using recent tracked program delivery cost - data. - 4.12.6 SAVINGS - 4.12.6.1 Energy...

AI summary The text provides details on average costs and energy savings associated with energy efficiency programs, specifically focusing on mini-split heat pumps and the Home Energy Assessment (HEA) program. The data is based on recent program delivery costs and billing analysis conducted in 2024.

3 4.14.3 MEASURE LIFE 4 Value: 10 Years 5 Source: This value was drawn from Table 72 of the 2025 DSM Measure Assessment, shown above. 6 - 4.14.4 NET TO GROSS - Value: 1.0 - Source: This value was drawn from Table 32 of the 2024 Existing Re...

AI summary The document discusses the 10-year life value of a measure, energy savings calculations for smart thermostats in electrical heating systems, and the methodology used to determine heating consumption savings based on thermostat types. The savings calculation uses a formula and references the 2025 Illinois TRM for the 10.2% heating consumption savings value.

4.14.6.2 Coincident Peak Demand Savings (kW) Value: 0.000 Source: This is the deemed unitary peak demand savings value for the Smart Thermostat for Electrical - Heating Systems Measure[67](#page-151-1) in the 2025 Measure Assessment. - Det...

AI summary The deemed unitary peak demand savings value for the Smart Thermostat for Electrical Heating Systems Measure is 0.000, based on the 2025 Measure Assessment. This value is derived from a peak demand-to-energy ratio assumption from literature review findings.

3 4.15.3 MEASURE LIFE 4 Value: 10 Years 5 Source: This value was drawn from Table 72 of the 2025 DSM Measure Assessment, shown above. 6 - 4.15.4 NET TO GROSS - Value: 1.0 - Source: This value was drawn from Table 32 of the 2024 Existing Re...

AI summary The document discusses the 'Measure Life' for a DSM program, with a value of 10 years, sourced from Table 72 of the 2025 DSM Measure Assessment. It also outlines energy savings calculations for smart thermostats used in electrical heating systems, referencing the 2025 Illinois TRM for a 10.2% heating consumption savings estimate.

4.15.6.2 Coincident Peak Demand Savings (kW) Value: 0.000 Source: This is the deemed unitary peak demand savings value for the Smart Thermostat for Electrical Heating Systems Measure[71](#page-155-1) in the 2025 Measure Assessment. Details...

AI summary The document discusses the deemed unitary peak demand savings value of 0.000 for the Smart Thermostat for Electrical Heating Systems Measure in the 2025 Measure Assessment. It also outlines details about Outdoor Heavy Duty Timers under the Instant Savings program, including measure identifiers, program components, measure life, net-to-gross ratios, and incremental costs.

5 1 Request IR-39: 2 longer be economic? Please explain. 3 4 (d) Pdf pg. 123 states: "Investment levels in Residential sector programs represent 5 approximately 56 percent of the energy efficiency portfolio and BNI sector programs at 6 44...

AI summary The text includes questions about the allocation of energy efficiency investments between residential and BNI sectors and requests for detailed calculations supporting rate class savings and expenditures in the 2027–2031 DSM Preferred Plan. It also asks for supporting evidence from the evidence filed to date.

i) If required, please recalculate the Attachment 3 annual PAC score and payback period for each measure within each program for each year from 2027 to 2031, and provide a revised Appendix A, Attachment 3 in Excel format with all formulae...

AI summary The document requests a recalculation of the Attachment 3 annual PAC score and payback period for each measure within each program from 2027 to 2031, and asks whether Nova Scotia Power has considered reducing non-incentive related costs for programs that fail the PAC test.

Request IR-40: Appendix A - Preferred Plan pp. 1-112 (Attach. 1-5) Exhibit E-1, Appendix A, page 19 of 112 (pdf pg. 107): E1 notes that, for existing measures, measure-level inputs were developed using the most recently available program a...

AI summary Nova Scotia Power (E1) modified measure-level inputs for existing programs in the DSM Plan to reflect known or expected changes from 2027–2031, including updates to energy savings, effective useful life, and participation assumptions based on evaluation data and market developments.

E1 Responses to Nova Scotia Energy Board (NSEB) Information Requests NON-CONFIDENTIAL 1 Request IR-45: 16 requirement of the system inclusive of DSM impacts (i.e. the Base Case) from the annual 17 energy requirement of a theoretical system...

AI summary E1 responds to the Nova Scotia Energy Board's information request regarding the Base Case and No DSM Case energy requirements, clarifying that the 'Nominal WACC' refers to the discount rate used for NPV calculations. Inflation is based on a 2% annual CPI forecast, and real WACC is adjusted for inflation.

1 Request IR-49: 2 3 Appendix A - Preferred Plan pp. 1-112 (Attach. 1-5) 4 5 Reference Appendix A, Attachment 3 (Exhibit E-1-(ii)): 6 7 E1 provides justification for measures that do not pass the program administrator cost (PAC) 8 test. 9...

AI summary The Nova Scotia Energy Board (NSEB) has requested detailed justifications from E1 regarding its heat pump maintenance costs, investment degradation, and the cost-benefit analysis of specific measures in its demand-side management plan. E1 is being asked to explain why certain measures may not meet the program administrator cost (PAC) criteria and how they contribute to maintaining delivery costs and contractor engagement.

3.1 Subject Areas The innovation roadmap (section [3.2)](#page-199-0) categorizes projects by subject area. A jurisdictional scan of each subject area was conducted in 2023 to identify active programs in North America. Five subject areas w...

AI summary The document outlines the selection and revision of subject areas for the innovation roadmap, highlighting the focus on avoided costs such as carbon, transmission capacity, non-energy benefits, and ancillary services. These subject areas are periodically reviewed and adjusted based on new opportunities.

3.4.3.1 Deep Retrofit Navigator pilot The Deep Retrofit Navigator pilot was designed to provide comprehensive project management support, from an assigned project "Navigator", to complete deep energy retrofits for homeowners in HRM. The pi...

AI summary The Deep Retrofit Navigator pilot provided project management support to homeowners in HRM for deep energy retrofits, offering rebates and financing to reduce financial barriers. The pilot yielded 533 GJ/year in energy savings and identified customer segments and financing risks for future initiatives.

19 Table 1: Metrics in 2023-2025 DSM Plan Application Column in 2023-2025 DSM Plan Application Attachment 4 Explanation Total Per Unit DSM Cost ($) 'Total Per Unit DSM Cost ($)' was a metric that looked at both incentive and incremental co...

AI summary The text discusses the 2023-2025 DSM Plan Application, including metrics like 'Total Per Unit DSM Cost' and requests for information regarding NS Power's growth assumptions for energy and demand sales from 2011-2055. It also references appendices and attachments for detailed data inputs.

12 Table 7: 2025 Free-ridership, Spillover, and NTGRs Program Component and Measure Type Spillover Levels NTGRs Residential Appliance Retirementa Refrigerators 43% 0% 0.57 Freezers 45% 0.55 Air Conditioners 47% 0.53 Small Refrigerators 32%...

AI summary Table 7 presents data on free-ridership, spillover, and NTGRs for various residential and appliance programs in 2025. It details percentages for different program components such as appliance retirement, instant savings, and energy-efficient appliances.

19 Tracked Evaluated Difference in Reason for Difference Program Component Annual Net Annual Net Net Savings between Tracked and Savings (GWh) Savings (GWh) (GWh) Evaluated 11.430 -4.551 Tracked used previous NTGRs for non-lighting Instant...

AI summary The document compares tracked and evaluated annual net savings for various program components, highlighting discrepancies due to differences in NTGR calculations and the inclusion of unclaimed savings. The Instant Savings program had a significant difference due to the use of previous NTGRs for non-lighting products, while the Affordable Single Family Homes program had a minor difference due to unclaimed savings from 2024.

1 Request IR-01: 2 3 Reference: Appendix A, Table 49, "Program History," page 85. 4 5 Please provide a table which, for each year from 2020 to 2026, includes: 6 7 (a) total DSM investment for solar PV projects/measures, by program componen...

AI summary The document requests detailed information on DSM investments in solar PV projects from 2020 to 2026, including total investment, percentage of expenditures, number of systems installed, and funding sources. The response indicates that solar PV incentives were supported by DSM funds in specific programs and provides data for 2020–2025.

(a) How does E1 define "significant and unforeseen change in avoided costs" and "material shift in market conditions"? Please provide examples. 1 (b) Has E1 defined specific thresholds (i.e. percent increases/decreases in investment levels...

AI summary The text discusses EfficiencyOne's (E1) definition of 'significant and unforeseen change in avoided costs' and 'material shift in market conditions,' and includes requests for materials related to a jurisdictional scan and a heat pump cleaning measure. It also references program costs, savings assumptions, and stakeholder communication.

ently underway and as such the specific measure assumptions have not been finalized. (b) E1 has estimated heat pump water heater participation at 1,840 units over the duration of the Preferred Plan. (c) E1 considered incentives specificall...

AI summary The document discusses E1's approach to water heater incentives and demand response programs in the 2027–2031 DSM Plan, emphasizing cost-effectiveness and achievability. E1 plans to focus on heat pump water heaters and maintain the existing residential demand response program, Eco Shift, while expanding the BNI offer.

In thousands of dollars 2023 2027 2028 2029 2030 2031 Energy Audit Costs $ 3,376 $ 1,337 $ 1,390 $ 2,224 $ 2,313 $ 2,313 Recovery of Assessment Costs from Canada Greener Homes - 1,916 Grant Total Assessment Costs $ 1,460 $ 1,337 $ 1,390 $...

AI summary The table outlines energy audit costs and the recovery of assessment costs from Canada Greener Homes over several years. It includes figures for 2023 through 2031, highlighting changes in costs and the impact of grants.

of recovery from Canada Greener Homes between 2023–2025 was $3.2 million. No additional recoveries are expected for 2027–2031. (e) Please refer to E1's responses to Synapse IR-37 and Solar NS IR-12. Request IR-05: HomeWarming and Low-Incom...

AI summary The document discusses the recovery from the Canada Greener Homes program, mentioning a total of $3.2 million between 2023–2025 with no further recoveries expected through 2031. It also outlines a request for data on the HomeWarming and Low-Income Single-Family Support programs, including participation numbers, savings, and funding sources, with a response indicating the availability of data from 2023 onwards.

DATE FILED: May 28, 2026 E1 (SNS) IR-12 Page 5 of 5 1 Request IR-13: IRP Benchmark, Preferred Plan, and Affordability Trade-off 2 3 Reference: 2027-2031 DSM Plan; Preferred Plan; IRP-aligned savings scenario. 4 5 (a) Provide the analysis s...

AI summary The document outlines a request for analysis on the 2027–2031 DSM Plan, focusing on the balance between short-term affordability and long-term ratepayer value. It asks for details on program changes, bill impacts, and strategies to reduce affordability impacts. Responses reference prior submissions and confirm considerations of lower-cost delivery models.

Table 1: Design Objectives Objective Range Residential/Business, Non-Profit, Institutional 50/50 (+/-5) Aligned with historical Investment Split approach and stakeholder feedback Residential/Business, Non-Profit, Institutional 45/55 (+/-5)...

AI summary Table 1 outlines design objectives for energy efficiency investments, including a 50/50 investment split for residential and institutional sectors, a 45/55 energy savings split aligned with 2025 load forecasts, and a target of 15-20% low-income and equity investment in the energy efficiency portfolio, based on the 2021 Census data.

Table 5: Energy Efficiency Insights - Scenario 1EE-Base and Scenario 2EE-High Scenario 1EE-Base Scenario 2EE-High Round 1 Model - All EE Scenarios (2027-2031) RES BNI Total RES BNI Total Carbon Emissions Avoided Five-Year Annual Total (kil...

AI summary Table 5 compares two energy efficiency scenarios (1EE-Base and 2EE-High) in terms of carbon emissions avoided, energy and demand savings, investment distribution, and unit costs. The 2EE-High scenario shows higher savings and a slightly higher proportion of investment in low-income and equity programs.

Table 6: Scenario 1EE-Base – Round 1 Modelling Results Scenario 1EE - Base (2027-2031) Investment ($ million) Lifetime TRC & PAC Benefits ($ million) NS Cost Test Lifetime Benefits ($ million) First Energy Savings (GWh) Lifetime Energy Sav...

AI summary Table 6 presents the results of Scenario 1EE-Base – Round 1 Modelling, detailing investment, energy savings, and cost benefits for residential and business energy efficiency programs in Nova Scotia from 2027 to 2031. The table highlights the financial and energy-saving impacts of various programs, including residential and business initiatives, as well as enabling strategies.

Table 7: Scenario 2EE-High – Round 1 Modelling Results Scenario 1EE - High (2027-2031) Investment ($ million) Lifetime TRC & PAC Benefits ($ million) NS Cost Test Lifetime Benefits ($ million) First Energy Savings (GWh) Lifetime Energy Sav...

AI summary The table presents the results of Scenario 2EE-High – Round 1 Modelling, detailing investment amounts, energy savings, and cost-benefit analyses for various energy efficiency programs in Nova Scotia, including residential, business, and enabling strategies. The data highlights the financial and energy-saving impacts of these programs.

Table 10: Scenario 2DR-High – Round 1 Modelling Results Scenario 1DR-High TRC & PAC NS Cost Test Available Total Program Investment1 ($ million) Lifetime Lifetime Capacity2 Resource Cost Administrator NS Cost Test (2027-2031) Benefits Bene...

AI summary Table 10 presents the results of Scenario 2DR-High – Round 1 Modelling, which includes various demand response and energy efficiency programs with associated investment, benefits, and capacity metrics. The table outlines the costs and benefits of different initiatives such as residential demand response, smart thermostats, and battery control.

Table 11: Solar-PV Scenario - Round 1 Modelling Insights Scenario 1Solar-PV-Base RES BNI Total Carbon Emissions Avoided Five-Year Annual Total (kilotonne) 0.2 0.4 0.6 Cumulative Lifetime (kilotonne) 3.3 5.2 8.5 Generation & Installed Capac...

AI summary Table 11 presents the Solar-PV Scenario - Round 1 Modelling Insights, including carbon emissions avoided, generation and installed capacity estimates, investment splits, and unit costs for different scenarios. The data highlights the impact of Solar-PV on emissions reduction and cost efficiency.

Table 12: Scenario 1Solar-PV-Base - Round 1 Modelling Results Scenario 1Solar-PV - Base (2027-2031) Investment ($ million) Lifetime TRC & PAC Benefits ($ million) NS Cost Test Lifetime Benefits ($ million) Estimated Generation (GWh) Lifeti...

AI summary Table 12 presents the results of the Solar-PV-Base scenario modeling for the years 2027-2031. It includes investment costs, benefits, generation estimates, and cost tests for residential and business programs. The data highlights the financial and operational impacts of solar photovoltaic initiatives.

Table 13: 1SE-Base Scenario - Round 1 Modelling Insights Scenario 1SE-Base RES BNI Total Carbon Emissions Avoided Five-Year Annual Total (kilotonne) 2 10 12 Cumulative Lifetime (kilotonne) 32 192 224 Energy & Demand Impacts Lifetime Net En...

AI summary Table 13 presents modeling insights from the 1SE-Base Scenario, including carbon emissions avoided, energy and demand impacts, investment splits, and unit costs for RES and BNI. The data highlights the distribution of energy savings and investment across different sectors.

Table 14: 1SE-Base – Round 1 Modelling Results Scenario 1SE - Base (2027-2031) Investment ($ million) Lifetime TRC & PAC Benefits ($ million) NS Cost Test Lifetime Benefits ($ million) First Year Electric Energy Savings (GWh) Peak Demand S...

AI summary Table 14 presents the Round 1 Modelling Results for the 1SE-Base scenario, analyzing investment, energy savings, and cost-benefit metrics for residential and BNI programs. The table highlights energy savings, net energy impacts, and cost tests, showing the economic and energy performance of various efficiency programs.

Table 16: Enabling Strategies – Overall investment by Category Category 2027-2031 Investment ($M) Education and Outreach 8.5 Development and Research 6.0 Other Enabling Strategies 14.1 Market Transformation 8.8 TOTAL 37.5 For comparison pu...

AI summary Table 16 outlines the investment in Enabling Strategies from 2027-2031, with a total of $37.5M allocated across categories such as Education and Outreach, Development and Research, Market Transformation, and Other Enabling Strategies. Table 17 compares this with average annual investments for previous plans, showing projected changes in investment levels.

7. NEXT STEPS IN THE DSMAG ENGAGEMENT TIMELINE Fourth Quarter of 2025 Round 1 Modelling Assumptions and Results circulated to the DSMAG October 27 Round 1 Modelling Assumptions and Results session with the DSMAG October 30 DSMAG Comments o...

AI summary The document outlines the next steps in the DSMAG engagement timeline, including key dates for modelling assumptions, demand response sessions, and the submission of E1's preferred plan and alternate scenarios to the NSEB.

Table 1: STANDARDIZED FILING FRAMEWORK ITEM DESCRIPTION 2.1 Previous Plan's DSM Expenditures and Energy Savings Results A summary of the most recently completed DSM Resource Plan's actual results. This will include a breakdown of savings a...

AI summary This section of the document outlines the requirements for summarizing the most recently completed DSM Resource Plan's actual results, including metrics such as energy savings, investment, and performance targets approved by the Nova Scotia Energy Board.

4.2.3.1 AVOIDED COSTS Nova Scotia Power will provide estimates of annual avoided costs of fuel on a per-MWh basis, and annual avoided costs of generation, transmission, and distribution on a per-kW basis to EfficiencyOne for use in the cos...

AI summary Nova Scotia Power will provide avoided cost estimates to EfficiencyOne for use in DSM planning processes. These estimates will be updated before each DSM Potential Study and when changes are needed. The NSIESO will take over responsibility for avoided cost calculations as part of the IRP process following the implementation of the More Access to Energy Act on April 1, 2025.

4.3.5 ENABLING STRATEGIES E1 will propose Enabling Strategies and categories within each DSM Resource Plan. Historically, Enabling Strategies expenditures are classified into one ofhave included the following three categories: - Education...

AI summary E1 will propose Enabling Strategies within each DSM Resource Plan, historically classified into Education and Outreach, Development and Research, and Other Enabling Strategies. Annual investments over $100,000 benefiting specific rate classes will have 75% of the participant benefit portion allocated to those classes, while investments under $100,000 or benefiting all rate classes will be allocated based on per-rate class expenditures.

Table 1: STANDARDIZED FILING FRAMEWORK ITEM DESCRIPTION 4.2 Program Level Savings and Investment A summary of program-level savings and investment for the upcoming period. Reference to benchmarks of plans from other jurisdictions that are...

AI summary This section of the standardized filing framework outlines the requirements for summarizing program-level savings and investment for upcoming periods, including metrics such as energy savings, demand response capacity, and references to benchmarks from other jurisdictions.

4.3.5 ENABLING STRATEGIES E1 will propose Enabling Strategies and categories within each DSM Resource Plan. Historically, Enabling Strategies expenditures have included the following categories: - Education and Outreach - Development and R...

AI summary E1 will propose Enabling Strategies within each DSM Resource Plan. Historically, these strategies have included education, outreach, and research. Expenditures over $100,000 benefitting specific rate classes will have 75% of the investment allocated to those classes, while the remaining 25% is based on energy and demand requirements.

Energy Efficiency Energy Efficiency (EE) continues to be a crucial resource for Nova Scotia's electricity system as demonstrated in integrated resource planning by reducing system load and peak, improving grid reliability and lowering elec...

AI summary Energy efficiency (EE) is a critical resource for Nova Scotia's electricity system, reducing load and peak demand, improving grid reliability, and lowering costs. Nova Scotia Power's 2022 IRP identified Base EE as the optimal level, resulting in significant energy savings and cost-effectiveness. E1 has modeled scenarios based on stakeholder input and third-party recommendations, including energy savings targets and sectoral allocations.

Table 2: Scenario 1EE-Base – Round 2 Modelling Results Scenario 1EE - Base (2027-2031) Investment ($ million) Lifetime PAC Benefits ($ million) First Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Weighted Aver...

AI summary Table 2 presents the results of Scenario 1EE-Base for the period 2027–2031, detailing investment amounts, energy savings, and program administrator costs for various residential and business energy efficiency programs in Nova Scotia.

Table 3: Scenario 2EE-High – Round 2 Modelling Results Scenario 1EE - High (2027-2031) Investment ($ million) Lifetime PAC Benefits ($ million) First Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Weighted Aver...

AI summary Table 3 presents the results of Scenario 2EE-High – Round 2 Modelling, which includes investment amounts, lifetime benefits, energy savings, and other metrics for various energy efficiency (EE) programs in Nova Scotia. The data covers residential, business, and enabling strategies programs, highlighting the financial and energy impacts of different initiatives.

Table 9: 1SE-Base Scenario - Round 2 Modelling Insights Scenario 1SE-Base RES BNI Total Carbon Emissions Avoided Five-Year Annual Total (kilotonne) 1 6 8 Cumulative Lifetime (kilotonne) 20 111 131 Energy & Demand Impacts Lifetime Net Energ...

AI summary Table 9 presents the 1SE-Base Scenario - Round 2 Modelling Insights, showing carbon emissions avoided, energy and demand impacts, investment splits, and benefits and costs associated with RES and BNI programs. Key metrics include carbon emissions, energy savings, investment distribution, and cost-benefit analysis.

Table 10: 1SE-Base – Round 2 Modelling Results Modified-PAC First Year Lifetime Scenario 1SE - Base (2027-2031) Investment ($ million) Lifetime PAC Benefits ($ million) Modified-PAC Lifetime Benefits ($ million) First Year Electric Energy...

AI summary Table 10 presents the Round 2 Modelling Results for the 1SE-Base scenario, highlighting investment amounts, energy savings, and Program Administrator Cost (PAC) metrics for various energy efficiency programs across residential and business sectors in Nova Scotia.

Figure 1: Glossary of Terms Term Definition Cumulative net demand savings The cumulative total (or sum) of the incremental net demand savings for the specific Plan period (i.e., total savings achieved across the multiple years of the Plan...

AI summary This glossary defines key terms related to demand response and energy savings. It explains cumulative net demand and energy savings, including the impact of free-ridership and spillover effects, and defines demand response and available capacity in the context of Nova Scotia Power's operations.

Table 2: PROGRAM DESCRIPTION TEMPLATE ITEM DESCRIPTION 4.3 Program Performance Indicators For the upcoming Plan, E1 will provide a table of program-level performance indicators by individual Plan year and in total for the Plan period (e.g....

AI summary The document outlines program performance indicators for the upcoming Plan, including energy and demand savings, cost-effectiveness analysis, and low-income and equity performance metrics. E1 is required to provide detailed tables summarizing these indicators by plan year and overall for the Plan period.

12 E1 submitted its first DSM Plan in 2012 as DSM Administrator. ITEM DESCRIPTION Investment year and in total for the Plan period (e.g., annual and cumulative). Reference to benchmarks of plans from other jurisdictions that are comparable...

AI summary E1 submitted its first DSM Plan in 2012 as the DSM Administrator. The plan includes metrics such as energy savings, demand savings, investment breakdowns, and cost-effectiveness testing. It also requires benchmarking against other jurisdictions and detailed program-level data.

4.3.5 ENABLING STRATEGIES E1 will propose Enabling Strategies within each DSM Resource Plan. Enabling Strategies expenditures may include the following categories: - Education and Outreach; - Development and Research; - Other Enabling Stra...

AI summary E1 will propose Enabling Strategies within each DSM Resource Plan, with expenditures allocated based on the rate class benefiting from the investment. Investments over $100,000 are allocated 75% to the specific rate class and 25% based on energy and demand requirements.

3.1 Glossary of Terms Term Definition Cumulative net demand Sum of incremental net demand savings across the Plan period; net of free savings ridership and spillover. Cumulative net energy Sum of incremental net energy savings across the P...

AI summary This section defines key terms related to demand-side management (DSM) and energy efficiency, including cumulative net demand and energy savings, DSM resource plans, demand response, and effective useful life of measures. These definitions support the evaluation and approval of DSM activities and budgets.

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 Plans. Include Glossary of Terms and/or List of A...

AI summary The document outlines the structure and content requirements for the Demand Side Management (DSM) Resource Plan, including previous plan results, plan development, proposed plan metrics, alternate scenarios, and additional items such as rate impact analysis and approvals sought.

Program description content is described in Table 3. Table 3: Program Description Template Item Description 1. Overview Intent, target market, and type of service or rebate. 2. Objectives Long-term objectives for the program. 3. Opportunit...

AI summary The document outlines a program description template used in regulatory proceedings, focusing on demand side management standards, including program objectives, design, performance indicators, and equity considerations.

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 of $100...

AI summary E1 will propose Enabling Strategies including Education and Outreach, Development and Research, and other categories. Investments over $100,000 benefiting specific rate classes will have 75% of the participant benefit portion allocated to those classes, while investments under $100,000 or benefiting all classes will be allocated based on per-rate class expenditures. The system benefit portion (25%) is allocated based on class energy and demand requirements.

ngagement process. - Please refer to E1's response to Synapse IR-02, specifically Attachment 1 for Round 1 detail - and results, and Attachment 2 for Round 2 detail and results. At the time of Round 1 modelling, E1 performed cost effective...

AI summary The document outlines the cost-effectiveness testing performed by E1 during Round 1 and Round 2 modelling for strategic electrification, including the use of various tests such as TRC, PAC, NS JST, and RIM. The modified-PAC was used in Round 2, incorporating electric utility costs and benefits. The 6.65% NS Power 2025 WACC rate was applied in all rounds. E1 did not combine resource scenarios into proposed DSM Plans in Rounds 1 and 2.

at program design, enrollment pathways, incentives, and operational practices vary by jurisdiction. From an M12780, E1 2027–2031 DSM Plan Application Evidence, page 29. incentive perspective, the Evaluation found that E1's incentives were...

AI summary The document discusses E1's 2027–2031 DSM Plan, highlighting that incentive structures for thermostats and EV chargers are aligned with other jurisdictions, while battery incentives vary. E1's approach includes BYOD enrollment and energy efficiency delivery channels, but the plan does not propose increasing residential enrollment, focusing instead on maintaining and improving existing devices.

livery obligations. In 2025, NSPI derived more than 40 per cent of its electric sales from renewable sources and achieved a 49 per cent reduction in generation from solid fuel compared to 2005 levels. NLH is obligated to provide NSPI with...

AI summary NSPI has achieved significant progress in renewable energy, with over 40% of electric sales from renewables in 2025 and a 49% reduction in solid fuel generation since 2005. It has long-term energy obligations with NLH, including 900 GWh annually and additional energy from the Supplemental Energy Block. NSPI is aligning with provincial and federal climate goals, aiming for 80% renewable electricity sales by 2030. NSPI is a subsidiary of Emera and has investments in NSPEMI and WTI.

Transition Risk: As government policy related to the environment, renewable energy, and decarbonization continues to shift, the Company is exposed to increased uncertainty and risk arising from policy, legal, regulatory, technology, and ma...

AI summary The Company faces increased transition risks due to evolving environmental policies, renewable energy mandates, and decarbonization efforts. These risks include regulatory uncertainty, capital investment needs, and potential impacts on insurance and litigation. The energy transition may also affect the Company's ability to recover costs through rates and could lead to material adverse effects.

Fuel Supply Disruptions: NSPI is also exposed to the risk of fuel supply chain disruptions, both within and outside NSPI's service territory. Fuel supply disruptions which may be caused by damage to, operational issues with, terrorist or c...

AI summary NSPI faces risks from fuel supply chain disruptions, including operational issues, cyberattacks, and natural disasters, which could increase commodity price risk, disrupt operations, and harm its reputation, potentially leading to a Material Adverse Effect.

Coal: A substantial portion of NSPI's coal supply comes from international suppliers, which was contracted at or near the market prices prevailing at the time of contract. The Company has entered into fixed-price and index price contractua...

AI summary NSPI sources a significant portion of its coal from international suppliers under fixed-price and index-price contracts. As of December 31, 2025, approximately 81% of forecast coal requirements for 2026 and 8% for 2027 are hedged.

NSPI's operating revenues include sales of electricity and other services as summarized in the following table: For the Three months ended March 31 millions of dollars 2026 2025 Electric revenues $ 604 $ 589 Other revenues 8 10 Operating r...

AI summary NSPI's operating revenues from electricity and other services increased slightly in the first quarter of 2026 compared to 2025. Electric sales volume rose across all sectors, with residential and commercial sales showing the most growth. Changes in electric revenues were influenced by factors such as weather, sales volume, and electricity pricing adjustments.

Q2 2025 compared to Q2 2024 Q2 2025 net income decreased by $12 million compared to Q2 2024. The decrease is due to higher OM&G expenses, and higher depreciation and amortization due to increased PP&E in service. OM&G expenses increased du...

AI summary Q2 2025 net income decreased by $12 million compared to Q2 2024 due to higher OM&G expenses and depreciation and amortization. The request IR-21 asks for detailed data on lighting measures in the Instant Savings and Efficiency Product Installation program components, including number of measures, investment, energy savings, costs, and benefits, categorized by measure type and plan year.

1 (d) Please see below for a list of key dates in the transition of the Residential lighting market. 2 EfficiencyOne (E1) discontinued all residential lighting support in 2025. E1 is unaware of 3 any associated building code implications....

AI summary The phase out of residential lighting measures by EfficiencyOne (E1) in 2025 has affected program components, particularly the Instant Savings program. Key dates include January 1, 2019, and January 1, 2025, which marked changes in evaluation baselines and the removal of LED lighting products from the program. This has reduced the effective useful life of products and diminished lifetime savings.

10 Date Events greater lifetime savings. An evaluation baseline change also occurred that eliminated E1's ability to claim savings from LED lighting in all new construction projects. July 1, 2026 Evaluation baseline change is planned that...

AI summary The document discusses changes to the evaluation baseline for energy efficiency programs, specifically affecting E1's ability to claim savings from LED lighting in new construction and retrofit projects. A planned change in July 2026 will eliminate savings claims for LED fixtures under the Business Energy Rebates program when point-of-sale incentives are provided, due to uncertainty about whether less efficient lighting is being replaced.

- Incentive setting Please refer to Attachment 1 of E1's response to IG IR-11. E1 updated the thresholds within the incentive setting methodology to align with the APEX recommendation. - First year unit cost analysis Please refer to Attach...

AI summary The document refers to E1's responses to various inquiries regarding incentive settings, first-year unit costs, and energy savings determination. E1 has updated thresholds based on APEX recommendations and aligned unit costs with other jurisdictions. Energy savings are calculated as a percentage of load and split between residential and business programs.

incentives have ended, monthly customer pre-approval applications have dipped by over 50 percent. (c) Please refer to part (b) of this IR response. (d) Please refer to part (b) of this IR response. Request IR-39: Page 40 of Appendix A – Pr...

AI summary EfficiencyOne (E1) used three years of historical data (2022–2024) to improve the accuracy of rate class allocations for the 2027–2031 DSM Preferred Plan. This approach was chosen to address concerns about spending variances and to enhance reporting accuracy. The methodology was also applied in the 2026 DSM Extension.

's core objective of supporting energy autonomy and reducing electricity costs for Mi'kmaw residents, consistent with the principle of equitable access and dedicated low-income and equity programming. Request IR-42: Page 45 of Appendix A –...

AI summary The response to Request IR-42 explains that 'D' audits are initial home energy evaluations used to determine the current state of a home and develop an upgrade plan. E1 proposes eliminating the customer co-pay for these audits to remove a financial barrier and increase participation, which has declined since the Canada Greener Homes Grant ended. The audit types and their costs are outlined in Table 1.

1 HPWHs become industry standard. At each stage, it is the first time being conducted by 2 E1. 3 4 As demonstrated in other jurisdictions that deliver MT initiatives, including those for 5 HPWHssuch as Northwest Energy Efficiency Alliance...

AI summary The text discusses the long-term nature of Market Transformation (MT) initiatives, such as those for Heat Pump Water Heaters (HPWHs), and outlines the use of condensed impact evaluations for stable, mature programs. It references EfficiencyOne's (E1) approach to developing an evaluation framework with an independent consultant.

pplication, page 83, lines 15-17; • Electricity Costs: Costs incurred by customers for electricity service, including supply, delivery, and consumption. The term is tied to statutory use: "the purpose - of the demand-side management provis...

AI summary The text discusses the definition of key terms related to demand-side management (DSM) programs, including 'program component' and 'program,' as outlined in E1's 2027–2031 DSM Resource Plan Application. It also references a decision (M12282) related to a new benefit-cost analysis test for evaluating DSM plans.

1 Table 1: 2027-2031 - Relationship between Portfolio, Resource, Sector, Program and Program Components 2027–2031 Portfolio Resource Sector Program Program Components Energy Efficiency Residential Residential Efficient Product Rebates Inst...

AI summary The text presents Table 1 outlining the 2027–2031 portfolio, resource, sector, program, and program components. It also includes a request (IR-88) for clarification on the metrics E1 will provide for the energy efficiency and demand-side management programs, including questions about the inclusion of the modified PAC, GHG emissions reductions, and solar PV generation.

Table 1: Evaluation Frameworks Ask Different Questions. Evaluation Frameworks: Common Questions Framework Typical Evaluation Questions 1. Resource Acquisition Fill out all cost-effective opportunities. First year energy savings. Measure li...

AI summary The table outlines four evaluation frameworks used in regulatory proceedings, focusing on resource acquisition, market transformation, climate change, and energy sufficiency. Each framework includes typical evaluation questions related to cost-effectiveness, market progress, harm reduction, and ensuring energy access for all customers.

Table 4: 2025 and Lifetime Net Energy Savings at the Generator. 2025 Net Evaluated Energy Savings (at Generator) Annual (GWh) Lifetime (GWh) Rebate Appliance Retirement 0.115 0.461 106.969 Programs Instant Savings 11.430 11.545 106.508 100...

AI summary Table 4 presents 2025 and lifetime net energy savings at the generator for various programs, including rebate programs, residential and business initiatives, and energy efficiency measures. The data highlights the contributions of different programs to overall energy savings, with a focus on residential and business sectors.

Numbers may not exactly match evaluation report due to rounding. The relation of lifetime energy savings to net first year energy savings is shown in Figure 3. The programs are listed on the vertical axis and the multiplier for each progra...

AI summary Figure 3 illustrates the multiplier for energy savings across different programs, showing the ratio of lifetime energy savings to net first-year savings. Residential programs have a multiplier of fourteen, BNI programs have a multiplier of ten, and the overall portfolio has a multiplier of eleven.

A. Appliance Retirement Program (ARet) The Appliance Retirement (ARet) program is one of two program components of the Residential Efficient Product Rebates program. Appliance Retirement advances the retirement of refrigerators and freezer...

AI summary The Appliance Retirement (ARet) program, part of the Residential Efficient Product Rebates program, retires inefficient appliances and offers rebates. Since 2012, 77,981 appliances have been retired. In 2025, only 285 appliances were retired, leading to a 95% decrease in energy and demand savings due to program discontinuation.

D. Green Heat Green Heat, a component of Efficiency Nova Scotia's Existing Residential program, provides financial incentives for the installation of efficient heating systems that use fuel from renewable resources, including high-efficien...

AI summary Green Heat, part of Efficiency Nova Scotia's Existing Residential program, provides incentives for renewable heating systems. However, participation and energy savings have declined significantly since 2021, leading to the program's discontinuation by the end of 2025. The decline was attributed to higher incentives from other programs and reduced energy savings.

EPI's two funding sources are: - 1. Electricity ratepayers to fund upgrades to reduce electricity consumption. - 2. Government of Nova Scotia and the federal Low Carbon Economy Fund funds upgrades that reduce the use of other fuels. The Ev...

AI summary The Evaluator reports on the 2025 performance of the Residential Efficient Product Installation (EPI) program, noting a decline in participants and efficient products installed compared to 2024. Energy savings also decreased, with LED lamps remaining the most common product type and smart thermostats contributing significantly to energy savings. The program's achievements fell short of its energy and peak demand savings targets.

Program Overview The Efficient Product Rebates Program is administered by EfficiencyOne (E1) and comprises the Business Energy Rebates (BER) component, delivered through two services: Application Rebates (BER-AR) and Instant Rebates (BER-I...

AI summary The Efficient Product Rebates Program, administered by EfficiencyOne, provides rebates and financing to BNI participants to reduce electricity consumption and peak demand. The 2025 evaluation was the final year of the 2023–2025 DSM cycle, reporting energy savings and GHG emission reductions.

2025 Program Performance BER targeted 38.451 GWh in net electrical energy savings and 7.241 MW in net peak demand savings at the generator. The program exceeded the energy savings target by 5% but fell 26% short of the peak demand target....

AI summary The BER program aimed for 38.451 GWh in energy savings and 7.241 MW in peak demand savings but exceeded energy targets by 5% while falling 26% short on peak demand. Instant Rebates was the main contributor to both energy and demand savings.

Metric Application Rebates Instant Rebates Total BER Participation 143 projects 317,312 products sold — Net Electrical Energy Savings 8.586 GWh 31.658 GWh 40.244 GWh Lifetime Net Energy Savings 137.476 GWh 157.309 GWh 294.786 GWh Net Peak...

AI summary Table 7 presents the performance metrics of the BER Program, including participation, energy savings, peak demand reductions, GHG emissions avoided, and other key indicators. The data highlights the program's impact over time, with both application rebates and instant rebates contributing to overall savings.

Key Findings - BER surpassed its net energy savings target by 5% (40.244 GWh achieved vs. 38.451 GWh planned) but undershot its net peak demand target by 26% (5.332 MW vs. 7.241 MW). - Application Rebates free-ridership levels declined rel...

AI summary BER exceeded its energy savings target but missed its peak demand target. Free-ridership levels in rebate programs have improved. Adjustment ratios for 2025 show variability, with some metrics having high uncertainty. The LED market in commercial fixtures is nearly fully adopted, but lamp adoption lags. Peer DSM administrators are adjusting their approaches as the LED market matures.

Recommendations - Adopt the updated adjustment ratios for tracking purposes, except the 0.514 peak demand ratio for non-lighting/non-HVAC measures and reassess that group in 2026. - Apply the new measure-level NTGRs (0.83 HVAC / 0.94 light...

AI summary The recommendations focus on updating adjustment ratios, implementing new net-to-gross ratios, improving tracking transparency, and transitioning lighting baselines to reflect a more LED-dominated market. These changes aim to enhance program evaluation and align with future market conditions, with key transitions planned for 2026 to 2029.

Conclusion The Efficient Product Rebates Program delivered energy savings above target and demonstrated the value of updated free-ridership and adjustment data. However, the 26% shortfall against the peak demand target — together with rapi...

AI summary The Efficient Product Rebates Program exceeded energy savings targets but faced a 26% shortfall in peak demand reduction. The conclusion highlights the need for program updates, including refreshed NTGRs and adjustment ratios, to maintain cost-effectiveness. The BER program is noted as a benchmark for successful energy reduction and market transformation.

Operation Participants begin with a BDM-led consultation. E1 then provides technical and financial support for two phases: (1) scoping and feasibility studies, and (2) implementation of energy efficiency projects using a customized and fle...

AI summary The operation involves BDM-led consultations followed by E1 providing technical and financial support for energy efficiency projects. Retrofit includes semi-prescriptive sub-categories like solar PV and compressed air leak audits, with refrigeration, solar PV, and compressed air upgrades being the top energy-saving measures in 2025.

Spotlight: Compressed (High-Pressure) Air Leak Surveys Compressed air systems - commonly referred to as high-pressure air systems - are among the most energy-intensive utilities in industrial facilities. Even small, sustained leaks waste l...

AI summary Compressed air systems are highly energy-intensive in industrial facilities, with even small leaks leading to significant energy waste. Compressed air leak surveys are part of Retrofit and frequently used in Strategic Energy Management (SEM) under Custom Incentives.

d Air Evaluation Protocol. The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures. National Renewable Energy Laboratory (NREL), NREL/SR-7A40-77820, 2021. Hand-held ultrasonic detectors and thei...

AI summary The document discusses the limitations of using ultrasonic detectors for savings verification in compressed air leak surveys, emphasizing the need for direct measurement approaches like leak-down testing as recommended by the Uniform Methods Project (UMP) protocol for accurate energy efficiency savings estimation.

Key Findings - SEM - SEM net energy savings exceeded the 2.657 GWh target by 52%; net peak demand savings exceeded the 0.289 MW target by 29%. - 2025 SEM participation reached its highest level since 2018, although electrical energy saving...

AI summary The Strategic Energy Management (SEM) program exceeded its 2025 energy and peak demand savings targets by significant margins. Participation levels were high, but savings per participant were lower than in previous years. Compressed air leak repair was the most impactful measure category, and M&V methodologies were found to be appropriate and accurate.

Program Overview Business Energy Solutions (SBES) provides incentives and resources to encourage Nova Scotia small businesses to implement energy efficiency upgrades. The 2025 evaluation produced gross and net first-year and lifetime elect...

AI summary Business Energy Solutions (SBES) offers incentives and resources to help Nova Scotia small businesses implement energy efficiency upgrades. The 2025 evaluation assessed the program's impact, including energy savings, peak demand reductions, effective useful life values, and avoided greenhouse gas emissions.

3. BNI Efficient Products Rebates (BER) SVR25-BER-7: Adopt the updated adjustment ratios for tracking purposes, except the 0.514 peak demand ratio for non-lighting/non-HVAC measures and reassess that group in 2026. SVR25-BER-8: Apply the n...

AI summary The document outlines several recommendations for updating the BNI Efficient Products Rebates (BER) program, including adjustments to tracking ratios, baseline standards for LED fixtures, rebate strategies, and market transformation goals by 2028–2029.

4. BNI Small Business Energy Solutions Program (SBES) SVR25-SBES-17: Examine why the Audit pathway accounts for less than 1% of units rebated and whether it remains a cost-effective channel given DIY dominance. SVR25-SBES-18: Investigate t...

AI summary The document discusses the BNI Small Business Energy Solutions Program (SBES), focusing on the low participation in the Audit pathway, challenges in meeting savings targets, and the need for baseline transition planning with the EPR / BER-AR roadmap due to upcoming lighting baseline shifts.

Current Approach The Custom NC Program provides financial incenƟves to support the design and construcƟon of energy efficient commercial, industrial, insƟtuƟonal, and mulƟ-unit residenƟal buildings . This financial support is based on the...

AI summary The Custom NC Program offers financial incentives for energy-efficient building designs, relying on the National Energy Code of Canada for Buildings (NECB) Part 8 to establish baseline energy performance. The program uses building energy simulation to ensure compliance and quantify energy savings.

14 testimony, peak capacity needs are projected to grow, and current forecasts require more [ 49 ](#page-26-1) See Exhibit TML-2 for the source and annual breakout. The IRP scenario has the effects of strategic electrification removed. 1 i...

AI summary Testimony highlights concerns that reduced DSM investment will lead to higher energy costs for customers, as alternative capacity sources are more expensive. It also notes that energy-efficiency acquisition costs have risen significantly, from $0.49/kWh in 2026 to $0.66/kWh projected for 2027–2031, a 35% increase.

17 Q. IS THE REMOVAL OF LOW-COST LIGHTING A SUFFICIENT 18 EXPLANATION FOR THE COST INCREASE? 19 A. Again, It is a legitimate but partial explanation. As LED lighting reached market 20 saturation, its very low-cost, high-volume savings were...

AI summary The removal of low-cost lighting is acknowledged as a partial explanation for the increase in average unit costs, but it is not considered a justification for the magnitude of the increase. The respondent emphasizes that E1 retains discretion in measure selection and incentive levels, and raises concerns about the incentive levels for some new measures in E1's plan.

6 Q. HOW DO E1'S SAVINGS ACQUISITION COSTS COMPARE TO OTHER 7 JURISDICTIONS IN NORTH AMERICA? 8 A. They are higher. A 2026 ACEEE report compiled 2024 energy-efficiency spending and savings for 42 of the largest U.S. utilities, about 60% of...

AI summary E1's energy efficiency savings acquisition costs are higher compared to other North American jurisdictions, with E1's proposed cost of $0.66/kWh being more than double the average of $0.35/kWh for 42 U.S. utilities in a 2026 ACEEE report.

Benchmark First-Year Cost ($/kWh Net at Meter, CAD) U.S. fleet average (42 utilities, weighted) $0.35 U.S. range — lowest (Salt River Project) $0.12 U.S. range — highest (Union Electric / Ameren MO) $0.92 U.S. median $0.36 [ 58 ](#page-31-...

AI summary The text presents a benchmark table comparing first-year costs of demand-side management (DSM) programs across U.S. utilities, with a focus on the ACEEE report and its relevance to E1's 2027-2031 Plan Application. The comparison includes conversion from USD to CAD and references to line loss factors and other supporting evidence.

9 Q. HAS E1 BENCHMARKED ITS UNIT COSTS AGAINST OTHER 10 JURISDICTIONS? 11 A. E1 engaged Apex Analytics to conduct a jurisdictional scan comparing its first-year unit costs to other jurisdictions, filed as Attachment 2 to its response to IG...

AI summary E1 conducted a jurisdictional scan of its unit costs but the scan was deemed too narrow. A broader comparison from ACEEE data shows E1's unit cost is more than double the average of 42 U.S. utilities, suggesting a need for a more comprehensive benchmarking approach.

t sound. Second, a six-2 jurisdiction scan is a narrow evidentiary base on which to rest the proposition that 3 incentive levels across the entire 2027–2031 portfolio are set no higher than necessary. 4 The distinction matters because ince...

AI summary The text argues that EfficiencyOne (E1) needs to improve its incentive methodology to better align with the Board's standards, as current incentive levels may not be set to the minimum necessary. Unit costs have increased significantly, and E1 lacks sufficient research on higher-cost measures like heat pumps and building envelope upgrades.

13 Since the dedicated low-income spending had a PAC BCR of slightly below 1, shifting 14 the savings away mainly meant reducing benefits by around the same amount as the 15 carve-out. This means that benefits would be $5 M lower, and the...

AI summary The analysis discusses the impact of shifting funds from dedicated low-income spending, noting that while the PAC BCR for this category would decrease from 0.9 to 0.8, the overall impact on broader metrics like Residential Sector, EE Total, and Portfolio Total PAC BCR is minimal, with a loss of only $5 million in benefits.

Natural Gas Efficiency Options and EE&C Plan for Peoples Natural Gas Peoples Natural Gas, Inc. – Pennsylvania (September 2017 – February 2019) - Prepared report on program, sector, and portfolio-level cost and savings for 29 natural gas ad...

AI summary Peoples Natural Gas, Inc. prepared a report analyzing natural gas efficiency options and developed a five-year $42 million Energy Efficiency and Conservation (EE&C) Plan. The report covered cost and savings analysis for 29 natural gas administrators across 11 states and supported stakeholder engagement and testimony for the adoption of the EE&C Plan.

Testimony and Proceeding Participation Forum On Behalf Of Docket/Matter Date Issues Addressed Pennsylvania Public Utility Commission UGI Gas Utilities Inc. – Gas Division Docket No. M-2024- 3048418 - Petition of UGI Gas for Approval of Pha...

AI summary The document outlines testimony and proceeding participation in regulatory forums, including energy efficiency plan design, updates to rate cases, and issues related to grid hardening and environmental justice.

A. E1's Treatment of Demand Response E1's Preferred Plan includes both residential DR with an annual budget of ~$2 million and BNI DR with an annual budget ranging from $3.1 million in 2027 to $4.4 million in 2031 with total Demand Respons...

AI summary E1's Preferred Plan includes both residential and BNI Demand Response (DR) programs with significant investment over five years. Residential DR participation is expected to decline, while BNI DR is projected to grow. E1 faces challenges with residential DR cost-effectiveness and implementation, though participation has recovered from initial issues.

1. Strategic electrification can be a beneficial DSM resource when it is targeted, controlled, and coordinated with system planning. E1 states in its application that the proposed SE programs, as designed, reduced GHG emissions but did not...

AI summary E1's proposed strategic electrification (SE) programs were excluded from its preferred DSM plan due to failing the modified-PAC test. E1 plans to focus on research, pilot programs, and collaboration with the IESO to improve SE's cost-effectiveness and data modeling, particularly regarding peak-hour load impacts.

In November 2025, The Brattle Group published a report on findings from a decade of beneficial electrification in the US.[40](#page-27-0) This report evaluated beneficial electrification across four pillars: cost savings, product quality a...

AI summary The Brattle Group's report highlights the benefits of electrification, including cost savings and grid resilience, based on a decade of data from the US. It notes significant savings from heat pumps and battery electric vehicles, emphasizing that overall energy costs can decrease even if electricity usage increases.

1. Affordability of the Plan - Maintain discipline around total DSM spending, but do not treat a flat annual budget as sufficient evidence that the Plan is affordable or prudent. - Reallocate funding away from increasingly expensive EE mea...

AI summary The document emphasizes maintaining control over DSM spending and reallocated funding to address system needs like winter peak demand and resource adequacy. It calls for stronger benchmarking of E1's EE unit costs and a transition of DSM from rebate programs to a resource planning tool by 2027–2031.

3. Treatment of Strategic Electrification - Require E1 to develop a phased SE pathway that identifies candidate measures with stronger cost-effectiveness potential, and do not allow SE to remain a research-only activity for the full 2027–2...

AI summary The proceeding emphasizes the need for a phased approach to strategic electrification (SE), requiring hourly modeling and improved cost-effectiveness analysis. Transportation electrification, particularly managed EV charging, is highlighted as a key component of SE, with a focus on avoiding peak impacts and improving grid utilization. The modified PAC test is acknowledged as a potential barrier for SE.

Q. Please summarize the budgets proposed by E1 in the 2027-2031 DSM Plan. A. E1 proposes an annual budget of $63.75 million for 2027 to 2031, which is the same as the budget approved by NSEB in the 2026 Extension. Over the course of the fi...

AI summary E1 proposes a $63.75 million annual budget for the 2027-2031 DSM Plan, aligning with the 2026 Extension budget. Approximately 90% will be allocated to energy efficiency and enabling strategies, 9% to demand response, and 1% to solar PV.

Q. Why might electrification produce a low cost-effectiveness result? A. Strategic electrification increases electricity sales. Whether this increases electricity costs per unit of electricity for the utility system as a whole depends in p...

AI summary Electrification may lead to low cost-effectiveness if it increases electricity demand during peak times, raising system costs. E1 included strategic electrification in its DSM Plan but did not propose incentives for it, instead investing in research and market readiness for future electrification programs.

11 Q. Did E1 find that strategic electrification reduces GHG emissions? - 12 A. Yes. E1's Round 2 modelling showed that strategic electrification would reduce 13 GHG emissions by 7.5 kilotonnes each year and 131.2 kilotonnes over the lifet...

AI summary E1 found that strategic electrification reduces GHG emissions by 7.5 kilotonnes annually and 131.2 kilotonnes over the measures' lifetime. However, E1's modeling of the impact on electricity costs is unclear, and the methodology and assumptions used are not fully disclosed. Strategic electrification was not eliminated from the 2027–2031 DSM Plan, but it was found not to be cost-effective under the modified-PAC test, even under optimal assumptions.

1 40 NB Power New Hampshire as the most similar jurisdiction to Nova Scotia. 2 integrated electrification of low- and moderate-income customers with oil heated 3 homes into its 2024/2025 to 2026/2027 DSM Plan. This effort draws on $32.0 4...

AI summary The text discusses Nova Scotia's efforts to integrate electrification for low- and moderate-income customers using oil heating, supported by provincial and federal funding. It also mentions Efficiency Manitoba's program offering free energy efficiency upgrades and notes that New Brunswick and Manitoba's energy efficiency administrators are crown corporations, which may have lessons for Nova Scotia.

and delivery follows with 14 percent of the overall reduction. Table 11. Residential Thermostat and Water Heater Budget Categories per kW Capacity, 2026-2027 Total Cost / kW Capacity 2026 2027 % of Cost Reduction Incentives 102 66 12% Mark...

AI summary The table details the budget categories for residential thermostat and water heater programs in 2026 and 2027, showing significant cost reductions across most categories, except for admin and delivery, which remains at 14% of the overall reduction.

- 14 A. Yes, it does. 84 Specifically, the Massachusetts Department of Public Utilities adopted its proposed change regarding mid-term modifications that requires "concurrent Department and Council review of the following modifications: (1...

AI summary The Massachusetts Department of Public Utilities has proposed changes to its energy efficiency guidelines, requiring concurrent review of certain modifications to energy efficiency programs, including budget adjustments and program terminations. These changes were part of an investigation into updating energy efficiency guidelines and procedures.

ynapse Energy Economics for NRDC. Hopkins, A. S., A. Napoleon, K. Takahashi. 2021. A Framework for Long-Term Gas Utility Planning in Colorado. Synapse Energy Economics for the Colorado Energy Office. Hopkins, A. S., A. Napoleon, T. Woolf,...

AI summary The text lists various publications by Synapse Energy Economics for different organizations and projects, including energy planning, utility resilience, and energy efficiency programs. These publications are related to long-term planning, energy equity, and performance evaluation in the energy sector.

lice Napoleon and Courtney Lane regarding PECO Energy Company's proposed Act 129 Phase IV Energy Efficiency and Conservation Plan. On behalf of the natural Resources Defense Council. January 14, 2021. Nova Scotia Utility and Review Board (...

AI summary The document outlines various testimonies and evidence provided by Alice Napoleon on behalf of several organizations, including the Natural Resources Defense Council and The Utility Reform Network, related to energy efficiency programs, regulatory proceedings, and utility proposals across multiple jurisdictions.

Solar Nova Scotia supports a 2027–2031 DSM Plan that continues to deliver cost-effective energy efficiency while also preparing Nova Scotia for the next phase of demand-side resources: flexible load, demand response, strategic electrificat...

AI summary Solar Nova Scotia supports a 2027–2031 DSM Plan that emphasizes cost-effective energy efficiency and the integration of flexible load, demand response, and strategic electrification. The evidence highlights the need to shift business programs from direct-install models to technical assistance and support, treat new controllable load as demand response, and develop a strategic electrification pathway with managed resources and federal incentives.

2.3 Energy Manager-Supported Projects Are the Main Source of Custom Savings EfficiencyOne stated in response to Solar Nova Scotia information request E1 (SNS) IR-08(e) that 94 percent of Custom Program savings under the Existing Buildings...

AI summary EfficiencyOne reported that 94% of Custom Program savings under the Existing Buildings stream in 2024 and 90% in 2025 were achieved through Energy Manager-supported projects. However, DSM-funded Energy Manager capacity is limited, with only four partially funded positions as of Q1 2026, none dedicated to small businesses. Solar Nova Scotia recommends expanding Energy Manager support to enable deeper projects and access to federal incentives.

3.1 Rising Unit Costs in BER and SBES The proposed measure mix for BER and SBES does not appear to replace the scale of savings historically delivered by lighting. Figures 2 and 3 show that both programs are materially affected by LED ligh...

AI summary The proposed measure mix for BER and SBES does not replace the scale of savings historically delivered by lighting, as LED lighting saturation has significantly impacted both programs. As lighting measures decline, first-year electricity savings fall sharply while program unit costs increase.

- Assisted an electric utility in developing a residential pricing pilot program that tests incliningblock rate (IBR) structure. More specifically, designed several revenue neutral IBR alternatives and quantified load reduction and bill im...

AI summary The text outlines various projects related to rate design and impact evaluation, including the development of inclining block rate structures, dynamic rate design for different customer classes, and simulations of demand response under various pricing scenarios. These efforts aim to assess the impact of different pricing models on energy use, demand, and customer bills.

- charging to inform the level of customer incentives, including energy and capacity cost savings, and reviewed the design of their pilot study - For Pepco, assessed the benefits and costs of the company's Climate Solutions Plan. The Plan...

AI summary The document outlines various analyses and studies conducted by Brattle Group for different utilities, including Pepco, Baltimore Gas & Electric, and Con Edison, focusing on demand-side initiatives, electrification programs, and benefit-cost analyses. These studies evaluate the economic, environmental, and operational impacts of energy efficiency, building electrification, and transportation electrification, as well as the development of cost frameworks for gas infrastructure alternatives.

e Evidence (Love Direct, p. 4, lines 18-21) — allows the Board and 28 intervenors to identify, case by case, the evidence needed to make a proper decision on the specific 29 modification proposed. 30 31 (e) It would not differ in kind. A t...

AI summary The text discusses the process for identifying evidence needed for modifications to energy efficiency programs, referencing a threshold trigger similar to a Material Change Application (MCA). It also highlights the use of the 2026 10-Year System Outlook by the IESO-NS, which supersedes a previous report and incorporates updated ELCC values.

highlighting the importance of successfully implementing the projects listed in this report in order to maintain system adequacy while meeting legislated decarbonization targets." (p. 30 27) 31 32 Investing in DSM at higher levels can go a...

AI summary The text emphasizes the importance of implementing demand-side management (DSM) projects to maintain system adequacy and meet decarbonization targets. It notes that energy efficiency reduces load directly and is not subject to the same declining marginal value as other resources. The ELCC Study supports the value of DSM and demand response in addressing reliability risks, particularly during winter peak periods.

36 Request IR-05: 37 38 Reference: E-21, Page 17, lines 4-9. 39 I respectfully recommend that the Board treat the IRP-identified Base level as the minimum planning target until an updated potential study is available, consistent with energ...

AI summary The text presents a request to the Board regarding the Energy Efficiency Program (E1) and the Integrated Resource Plan (IRP)-aligned scenario. It questions the feasibility and implementation of increasing the DSM savings target from 435.4 GWh to 683 GWh for 2027–2031, including cost, capacity, and program deployment considerations.

33 Response IR-05: 34 35 (a) i) Confirmed, ii) Confirmed, iii) Confirmed 36 37 (b) GEEG has not independently done that analysis. However, the purpose of a potential study 38 is to identify what is achievable and the past potential study i...

AI summary The response confirms certain points and discusses energy efficiency program savings, referencing past studies and comparing them to other regions. It notes that savings of around 1.1% of sales are achievable and aligns with North American benchmarks. The E1 model has been used to allocate funding between rate classes and programs, while GEEG has not conducted further analysis.

35 Request IR-08: 36 37 Reference: E-21, Section VII – Unit Costs. 38 Preamble: At pages 26–35 of the evidence, Mr. Love analyzes E1's rising unit acquisition costs, noting that the Preferred Plan projects a first-year EE unit cost of $0.6...

AI summary The text discusses Mr. Love's analysis of E1's rising unit acquisition costs, noting a significant increase from the 2026 Plan and identifying factors such as the end of federal funding and inflation. Questions are raised regarding the predictability of these increases, the use of Canadian benchmarks, and the implications of continuing current program designs.

24 Response IR-08: 5 9 13 18 23 25 36 - 26 (a) Yes, the loss of low-cost lighting savings was predictable, and E1 should have been 27 planning for it. The maturation of the residential lighting market and the resulting decline in 28 claima...

AI summary The response discusses the predictable decline in low-cost lighting savings due to market maturation and regulatory changes, such as the U.S. federal general-service-lamp efficiency standards and Canada's Energy Efficiency Act. It also notes that E1's first-year costs are significantly higher than the U.S. benchmark, highlighting a need for better cost-containment strategies.

ach, capping non-incentive cost categories (10% administration, 12 6% marketing, 4% EM&V, and a 20% direct-implementation non-incentive target) rather than 13 requiring a specific incentive share. 14 15 First, this comparison is not always...

AI summary The text discusses the challenges in comparing incentive shares across different programs, noting that spending data are rarely tracked comprehensively. It emphasizes that incentive levels should be set at the minimum necessary to secure participation and highlights best practices such as differentiating incentives based on measure, customer segment, and delivery channel.

- d) Please see the response above. 1 Nova Scotia Energy Board 5 6 7 8 2. Revise the incentive structure of the custom NC program to recognize the system-level impacts associated with building design decisions. This should include explicit...

AI summary The Nova Scotia Energy Board is being asked to revise the incentive structure of the custom new construction (NC) program to account for system-level impacts of building design decisions, including hybrid heating systems that manage peak electricity demand. Posterity Group acknowledges the recommendation and notes similar work has been done for MURBs and industrial process facilities.

Request IR-3: Reference: Brattle Evidence, Section IV: Representation of Demand Response in E1's Preferred Plan, page 14, footnote 25: "In October 2022, IESO received a ministerial directive that increased the CDM budget by $342 million, f...

AI summary The document references a ministerial directive in Ontario that increased the CDM budget for Peak Perks and contrasts it with Nova Scotia's statutory framework, where E1 operates under the Public Utilities Act and must meet the Program Administrator Cost (PAC) test. It also mentions E1's Eco Shift program and its expected cost-effectiveness under the PAC test.

Request IR-7: Reference: Brattle Evidence, Section V: Representation of Strategic Electrification in E1's Preferred Plan, page 20-21: "…the Board must also require E1 to consider transportation electrification measures into any proposed se...

AI summary The response to IR-7 discusses the inclusion of managed EV charging as Strategic Electrification (SE) under the modified Program Administrator Cost (PAC) test, which requires SE measures to reduce both GHG emissions and electricity costs. It highlights that managed EV charging can lead to cost savings by shifting load away from peak hours, potentially reducing distribution, transmission, and generation costs.

y help defer marginal transmission and generation capacity costs as well. Such cost savings may flow through to customers in the form of lower electric rates in the near to long-term, depending on the program life. Relatedly, if EV chargin...

AI summary The text discusses the potential for cost savings from EV charging load shifting and references the Newfoundland CDM Plan 2021-2025. It outlines a cost-effectiveness evaluation approach similar to the modified PAC test, though not explicitly named. Brattle notes the need for Nova Scotia-specific program characteristics.

n, Conservation and Demand Management Plan 2021-2025, 2021, Schedule C, Page 141 – 143 of 325. Id. Page 141 of 325. Id., page 141 of 325. Request IR-8: Reference: Brattle Evidence, Section VII: Conclusion, page 35: "Support targeted Solar...

AI summary The response to Request IR-8 discusses the lack of specific non-DSM funding mechanisms currently committed to supporting solar PV in Mi'kmaw communities in Nova Scotia. However, it references examples of equity-based programs, such as E1's HomeWarming program, which uses federal and provincial funding to increase participation in energy efficiency initiatives.

1 Request IR-3: 2 3 On page 11 of 39 of its Report, the Brattle Group states that E1 does not fully explain why it 4 costs twice as much to deliver one kWh of energy savings in Nova Scotia than in other 5 jurisdictions. 6 7 (a) Against wha...

AI summary The Brattle Group is questioned about the comparison of energy efficiency costs in Nova Scotia to other jurisdictions and the allocation of funds in those jurisdictions. The Brattle Group references the 2024 ACEEE report and acknowledges that further analysis is needed to assess the peer group selection in the APEX jurisdictional scan.

roduced by each DSM dollar by directing near-term spending toward resources that can reduce peak demand, defer future capacity costs, and be measured through clear performance and cost-per-kW metrics. Request IR-5: On page 13 of 39, the Br...

AI summary The Brattle Group's analysis of Demand Response (DR) peak reduction capabilities in US investor-owned utilities is discussed, with a focus on differences between winter and summer peaking utilities. The response indicates that seven of 87 utilities are winter peaking, and DR capabilities differ based on the type of demand contributing to system peaks. The response also addresses the potential understatement of NS Power's DR potential in the current E1 plan.

- Use device partners and OEM channels to reduce customer-acquisition costs: IESO's Peak Perks program scaled quickly by working through smart-thermostat platforms and device partners; IESO reported more than 200,000 enrolled participants...

AI summary The text discusses strategies to reduce customer-acquisition costs, improve customer experience in demand response (DR) programs, and refine baseline methods and event analytics. It highlights successful examples from IESO's Peak Perks program, Eversource's ConnectedSolutions, and studies by PG&E and Massachusetts, suggesting E1 adopt similar approaches for its DR initiatives.

1 1 Request IR-2: 2 3 Reference: E-22, Page 3. 4 5 Preamble: Brattle states that the Preferred Plan allocates approximately $286.8 million 6 (90% of total investment) to the EE portfolio, $29.1 million (9%) to DR, and 7 $2.8 million (1%) t...

AI summary The text discusses Brattle's allocation of DSM funding across energy efficiency (EE), demand response (DR), and solar PV (SE) within a five-year budget. It notes that the Preferred Plan largely mirrors the 2023-2026 plan and suggests reallocating funds from EE to DR and SE to create higher system value.

Request IR-5: Reference: E-22, Page 6. Preamble: Brattle states that a 2026 ACEEE report reveals that in 2024 the average lifetime cost of energy efficiency was $0.032/kWh with a median of $0.029/kWh, whereas E1's Preferred Plan has a firs...

AI summary The document requests clarification on Brattle's comparison of E1's energy efficiency costs to the ACEEE dataset, specifically regarding definitions and data sources. Brattle explains that E1's lifetime unit cost is calculated as the ratio of total EE investment to energy savings, while ACEEE's median is based on surveyed utilities.

NON-CONFIDENTIAL 1 understand that it is defined as the ratio of EE program spending to the projected lifetime 2 energy savings.1 Therefore, the definitions are equivalent. 3 4 (b) While the source cited in Mr. Love's testimony appears to...

AI summary The document discusses the definition of energy efficiency (EE) program spending to projected lifetime energy savings, referencing a report by Mike Specian and Alex Aquino. It also requests an update to Brattle's Figure 1 using data from the 2026 System Outlook and asks for confirmation of data sources and DR penetration estimates by 2031.

ailed program design, and final DSM plan for regulatory submission. The same study notes that it also assessed electric DR market potential for Manitoba Hydro, using common inputs and assumptions from the DSM market potential study. The st...

AI summary The document discusses various demand-side management (DSM) and energy efficiency studies from different regions, including Manitoba Hydro, Prince Edward Island (PEI), and Puget Sound Energy (PSE). These studies assess the potential for energy savings and demand response (DR) programs, with a focus on winter peak load reductions and long-term planning periods.

Scotia recommends for SBES, the benchmark or methodology it proposes for establishing that baseline, and the evidence or analysis supporting that target as achievable within the 2027-2031 Plan period? Solar Nova Scotia has not developed a...

AI summary Solar Nova Scotia recommends that the Board direct EfficiencyOne to file an annual first-year unit cost target for the SBES program, supported by measure-level assumptions and sensitivity analysis, to align with historical performance. The current proposed target is higher than previous benchmarks.

se Energy Managers are therefore well positioned to identify potentially applicable programs and refer customers to qualified advisors. EfficiencyOne should not determine or guarantee tax eligibility. (b) Please confirm whether this reduct...

AI summary The text discusses the implications of reducing program unit costs on the DSM budget and whether it would affect total spending or individual participant costs. It also addresses Solar Nova Scotia's recommendation to use the approved budget to reach more small business customers and the need to manage tax eligibility verification without legal or privacy risks.

Response to Request IR-4: (a) Please confirm whether the hybrid heat pump DR recommendation is intended to also apply to medium and large industrial customers. If not, why not? If it does apply to industrial facilities, please explain how...

AI summary The response clarifies that the hybrid heat pump demand response (DR) recommendation applies to commercial and institutional buildings, not industrial process loads. It also notes that Solar Nova Scotia does not provide a specific capacity estimate for backup generators and hybrid heating from new commercial construction but references forecasts, market data, and project examples to indicate the scale of opportunity.

Response to Request IR-6: (a) Please explain how Solar Nova Scotia's recommendation that SE be screened using a test that includes "avoided non-electric fuel costs, emissions reductions, and peak and capacity impacts" is consistent with th...

AI summary Solar Nova Scotia explains that its recommendation to include avoided non-electric fuel costs, emissions reductions, and peak and capacity impacts in the screening of strategic electrification (SE) is consistent with the Board's M12282 framework. It does not propose a new benefit-cost test, but rather the application of the existing modified PAC test and portfolio-level assessment. The cost-allocation methodology for SE remains unchanged, and potential benefits for industrial customers depend on further analysis.

Manager positions and the project-level savings data for Energy Managersupported projects. SNS notes that EfficiencyOne declined to disclose this information in response to E1 (SNS) IR-09(c) and (d). SNS can, however, offer the following o...

AI summary SNS discusses the cost and effectiveness of Energy Manager positions supported by the DSM program, noting that EfficiencyOne did not disclose project-level savings data. SNS argues that the cost of these positions is modest compared to program budgets and that a single Energy Manager can support many businesses. SNS also highlights that EfficiencyOne's sector-based support for agriculture and fisheries demonstrates the model's scalability and effectiveness.

(c) What is the definition of "qualified private-sector providers" and how are they different from the third-party consultants referred to by E1 in response to SBA IR 2(b)? By "qualified private-sector providers," SNS means firms, includin...

AI summary The document defines 'qualified private-sector providers' as firms meeting EfficiencyOne's criteria, engaged under the SBES program to deliver technical assistance to small businesses. These providers differ from third-party consultants, who are paid directly by customers. SNS recommends that the DSM Plan bear the cost of these providers through reallocation of funds from the current direct-install approach.

Response IR-5: A. Table 3. Cost-Effectiveness of 2027-2031 DSM Plan Plus SE (Round 2) on Page 26 of my evidence shows a modified-PAC of 2.6 without Strategic Electrification and 2.3 with it. I do not consider a 0.3 reduction from a modifie...

AI summary The response discusses the cost-effectiveness of the 2027-2031 DSM Plan with and without Strategic Electrification, noting a minor reduction in modified-PAC from 2.6 to 2.3. It argues that including Strategic Electrification reduces energy cost savings and suggests targeting constrained areas for electrification to address capacity challenges.

Summary of the DSM Plan NB Power's DSM Plan has many notable features: - It contains energy efficiency, renewable energy, demand response, and electrification offerings. - It addresses a variety of market segments and customer types. In pa...

AI summary NB Power's DSM Plan includes energy efficiency, renewable energy, demand response, and electrification offerings, with notable features such as LMI funding and support for non-electric savings. However, the plan does not aim to meet minimum DSM savings requirements, which are lower than achievable potential and those of other jurisdictions.

Summary Recommendations I recommend that the Board: - approve the energy-efficiency-related budgets and savings proposed by NB Power for the 2024/25 and 2025/26 program years. - o Direct NB Power to provide updates when the Energy Efficien...

AI summary The Board is recommended to approve NB Power's energy-efficiency and electrification budgets, request revisions to the DSM plan, and conduct reviews on renewable energy and demand response programs. The Province is also urged to align electricity savings requirements with updated targets and include additional program types in future planning.

Energy Efficiency Regulations In 2022, the Province prescribed the following minimum dollar transfers to the Energy Efficiency Fund for funding the development and delivery of energy efficiency and energy conservation for low-income custom...

AI summary In 2022, the Province mandated minimum transfers to the Energy Efficiency Fund for low-income customers, First Nations, and non-profit organizations, along with minimum savings targets. Additionally, current regulations prevent NB Power from using ratepayer funds for incentives with mainly non-electric savings.

Climate Change Policies and Regulations New Brunswick's 2022–2027 Climate Change Action Plan 6 includes commitments to reduce greenhouse gas emissions to at least 46 percent below 2005 emission levels by 2030 and to achieve net-zero emissi...

AI summary New Brunswick's 2022–2027 Climate Change Action Plan aims to reduce greenhouse gas emissions by 46% below 2005 levels by 2030 and achieve net-zero by 2050. It includes electrification goals, such as increasing EV sales and phasing out heating oil. NB Power supports various actions, including energy efficiency financing and building code acceleration. The Climate Fund supports LMI programs through NB Power's DSM Plan.

Province/ Territory Program Administrator 2023 2024 2025 2026 2027 Avg NS Efficiency Nova Scotia 0.98% 1.17% 1.23% - - 1.13% ON IESO 0.91% 1.20% - - - 1.05% PE EfficiencyPEI 0.83% 0.71% 0.73% - - 0.76% NB NB Power 0.50% 0.55% 0.60% 0.65% 0...

AI summary The table presents energy efficiency savings targets for various provinces and territories, with Efficiency Nova Scotia and other program administrators showing varying percentages for the years 2023 to 2027. The note indicates that NB's targets are updated based on the Energy Efficiency Regulation – Electricity Act, Section 117.24.

Energy Efficiency Renewable Energy / Demand Response LMI Electrification Overhead & Enablement Total $ % of $ % of $ % of $ % of $ % of millions Total millions Total millions Total millions Total millions Total 2024/25 $56.5 64% $4.8 5% $2...

AI summary The table provides a financial breakdown of various energy initiatives from 2024/25 to 2026/27, showing the distribution of funds across Energy Efficiency, Renewable Energy, Demand Response, LMI Electrification, and Overhead & Enablement. The data highlights the percentage of total funding allocated to each category over the three-year period.

- The U.S. and Canadian Energy Efficiency Scorecards provide different metrics for assessing program performance. An "NA" indicates data that is not available from the scorecard. - The Canadian scorecard includes natural gas energy efficie...

AI summary The text discusses the differences between U.S. and Canadian energy efficiency scorecards, noting that the Canadian version includes natural gas programs and that New Brunswick's low-income spending covers both low- and moderate-income customers.

Sources: - 2020/21, 2021/22, and 2023/24 DSM Funding by NB Power and Other Sources from 2023/24 DSM Initiatives Update provided as NBEUB IR-123b Attachment. - 2022/23 DSM Funding by NB Power and Other Sources from NBP02.61 Part A - Appendi...

AI summary The text discusses historical and proposed spending on DSM initiatives by NB Power and other sources from 2020/21 through 2026/27. Energy efficiency and renewable energy spending is stable, while demand response spending is expected to increase significantly starting in 2024/25. LMI electrification spending is notable in 2024/25 but declines in subsequent years.

Benefit-Cost Ratios NB Power evaluates cost-effectiveness using the All Fuels and NB Power PACT and PCT. 21 The All Fuels tests include the costs and benefits from other funding sources, while the NB Power tests are focused on NB Power spe...

AI summary NB Power evaluates the cost-effectiveness of its energy efficiency and electrification programs using benefit-cost ratios. The energy efficiency portfolio has benefit-cost ratios ranging from 1.5 to 2.5, while the electrification program has ratios from 1.3 to 3.4. The demand response program has significantly higher ratios, ranging from 1.7 to 52.3. The TRC and RIM tests are no longer used as measures of cost-effectiveness.

Table 7. DSM portfolio and program cost-effectiveness, 2024/25 Program Type Sector Program Name PACT – All Fuels PACT – NB Power PCT – All Fuels PCT – NB Power Energy Efficiency Residential New Home Energy Savings Program 1.6 1.6 1.1 1.1 T...

AI summary Table 7 presents the cost-effectiveness of various Demand Side Management (DSM) programs in Nova Scotia for 2024/25, including Energy Efficiency, Electrification, and Demand Response programs across residential, commercial, and industrial sectors, with specific metrics for all fuels and NB Power.

- approve the energy-efficiency-related budgets and savings proposed by NB Power for the 2024/25 and 2025/26 program years. - o Direct NB Power to provide updates when the Energy Efficient Products and Total Homes Energy Savings programs a...

AI summary The document outlines approvals and directives related to NB Power's energy-efficiency and electrification budgets, the redesign of specific programs, and the need for a detailed review of renewable energy investments. It also mandates updates to the DSM plan and the inclusion of various measure types in future studies.

- 2 (ii) Addition of SE for low-income customers who heat with oil 3 to E1's Preferred Plan: I did not recommend or estimate 4 annual investment levels for this option. - 5 (b) I have not independently calculated the quantified impact on e...

AI summary The text discusses the lack of independent calculations regarding the impact of E1's proposed spending levels on electricity costs and the RBIA for different investment levels. It also mentions reliance on E1's BCA calculations and NS Power's avoided cost inputs.

1 2 E1 provided the modified-PAC for SE in response to Synapse IR-02 as Attachment 3 2, Appendix A, Round 2 Modelling Assumptions and Attachment 2, Appendix G, 4 Round 2 Measure Level Technical Tables 1SE-Base3. (b) These files do not indi...

AI summary E1 submitted modified-PAC files for SE in response to Synapse IR-02, but the files lack details on whether hourly load-shape data or annual averages were used to calculate peak-hour capacity costs, making it difficult to assess their impact on the modified-PAC calculation.

Response IR-3: a) I recommend that E1 should conduct a high-level analysis of the estimated PM2.5 that would result from the operation of their planned portfolio of Back Up Generators for each year of the plan period, using simplifying ass...

AI summary The response recommends that E1 conduct an analysis of PM2.5 emissions from planned backup generators using Health Canada's AQBAT tool to estimate health outcomes and reassess incentive levels and enrolled capacity in the fossil-fuel BUGs pathway.

Eversource Energy — Director 2012–2021 - Led regulatory, planning, EM&V, and support services for a $500M+ multi-state energy efficiency and demand response portfolio, including oversight of portfolio strategy, performance metrics, budgets...

AI summary The text discusses the professional experience of an individual who led regulatory and planning efforts for a large energy efficiency and demand response portfolio, managed teams, supported regulatory filings, and advised on integrating energy efficiency and distributed energy resources into grid planning.

Deloitte Consulting — Consultant 2010–2012 - Advised senior leadership on domestic and international energy policy, facility energy use, cost mitigation strategies, and greenhouse gas emissions risk management for large government and inst...

AI summary Deloitte Consulting advised senior leadership on energy policy and cost mitigation strategies for government and institutional clients between 2010 and 2012. They conducted economic analyses of energy usage in large facilities and supported decision-making on energy operations and policy trends.

Energy Efficiency & DSM Planning Multi-year plan development, portfolio strategy, budgets, savings goals, incentive structures, program narratives, and filing support.

AI summary The text outlines the development of a multi-year energy efficiency and demand-side management (DSM) plan, including portfolio strategy, budgets, savings goals, incentive structures, program narratives, and filing support.

Transforming utility customer service: Helping C&I companies meet sustainability goals Power Grid · Feb 26, 2020

AI summary This document discusses the importance of transforming utility customer service to help Commercial and Industrial (C&I) companies meet their sustainability goals. It highlights the role of technology and services in enabling these companies to achieve energy efficiency and reduce their environmental impact.

E1 Rebuttal Evidence E1 agrees that incentives should be set no higher than necessary to secure participation, and as such applies the Board approved incentive setting methodology. In preparation for the 2027–2031 Plan, E1 engaged Apex to...

AI summary E1 argues that its current incentive-setting methodology, which aligns with the Board's approved approach, is sufficient and does not require additional measure-specific primary research. E1 highlights the high cost and impracticality of such research, especially given the fixed deadline proposed by Green Energy Economics Group, and notes that its existing incentives are already at or below recommended thresholds.

4.2 STRATEGIC ELECTRIFICATION At PDF page 9, Brattle states: E1 has excluded SE as a DSM resource in the Preferred Plan because the modelled measures did not satisfy the Board-approved modified PAC test, including the requirement that SE r...

AI summary Brattle argues that E1 excluded strategic electrification (SE) as a DSM resource in the Preferred Plan because it did not meet the Board's modified PAC test requirements. However, Brattle suggests that E1's program designs may not have fully incorporated features that could make SE beneficial, and recommends a phased pathway for E1 to improve data collection and align electrification with system planning needs.

E1 Rebuttal Evidence E1 agrees that hourly modelling and improved data are valuable, and the Preferred Plan already commits, through the Enabling Strategies budget, to market research and technology assessment, pilot programs, collaboratio...

AI summary E1 acknowledges the value of hourly modelling and improved data but argues that structural issues with the modified PAC test limit the impact of these improvements. E1 has supported more detailed avoided cost analysis and has already explored a range of electrification measures, but none met the modified PAC test even under best-case scenarios. E1's approach includes phased research and pilot programs to adapt to the current statutory framework.

4.2.2 FLEXIBILITY At PDF page 24 – 25, Brattle states: E-22, PDF page 31. Successful cost-effectiveness outcomes within the existing Board-approved framework can be achieved by designing proposed electrification programs around flexibility...

AI summary Brattle argues that E1's electrification programs should be redesigned to incorporate flexibility and load control to improve grid utilization and reduce costs and emissions. They suggest focusing on measures that include fossil-fuel displacement, weatherization, and targeted deployment in parts of the grid with headroom for distribution capacity.

Solar Nova Scotia At page 3 of its evidence Solar Nova Scotia states: The evidence indicates that the future of cost-effective business DSM depends less on increasing rebate levels or free direct-install measures, and more on expanding the...

AI summary Solar Nova Scotia argues that future cost-effective demand-side management (DSM) depends more on expanding technical assistance and support services rather than increasing rebate levels or free direct-install measures. It highlights that Energy Manager-supported projects were highly effective in the Custom Program but notes that EfficiencyOne only funds limited Energy Manager positions and prioritizes financial incentives over enabling support.

E1 Rebuttal Evidence E1 disagrees with the assertion that the evidence indicates future business DSM depends on expanding technical assistance in the Preferred Plan. E1 and its Efficiency Preferred Partner members already offer the technic...

AI summary E1 disputes the need for expanding technical assistance in the Preferred Plan for future business DSM, stating that current services from E1 and its Efficiency Preferred Partner members are sufficient. E1 emphasizes flexibility to adapt delivery models if needed, while focusing program investment on customer incentives due to affordability concerns and rising project costs.

E1 Rebuttal Evidence E1 disagrees with Solar Nova Scotia's assertion that adding dedicated Energy Managers to support small businesses will reduce the need for DSM incentives for these customers. Solar Nova Scotia has not presented any dat...

AI summary E1 disagrees with Solar Nova Scotia's claim that adding Energy Managers for small businesses will reduce the need for DSM incentives. E1 argues that there is no data showing small businesses prefer staff assistance over financial support and emphasizes existing support systems. E1 believes DSM funding should focus on direct cost reduction for small businesses.

t with industry practice for commercial new construction programs. It provides a stable and verifiable basis for quantifying incremental efficiency improvements relative to a clearly defined standard. In the 2020–2022 DSM Plan proceeding (...

AI summary The text discusses industry practice for commercial new construction DSM programs, referencing a study conducted in the 2020–2022 DSM Plan proceeding (M09096). The study highlights that heating system selection is driven by upfront costs, operating costs, and developer comfort, not incentives. It also notes that energy codes are used as baselines for new construction energy models.

Q. Why is Apex's benchmarking more meaningful than a broad comparison with large U.S. utilities? In performing a benchmarking analysis, peers must be similar enough to make comparisons meaningful. Broadly comparing the cost of savings in N...

AI summary Apex's benchmarking is more meaningful because it compares with similar entities rather than large U.S. utilities, which have different service areas and programs. The intervenors acknowledge factors driving E1's rising costs, such as inflation and program changes, but question if a raw fleet average can capture these factors accurately.

Q. What does Apex believe is the appropriate benchmarking methodology and what factors affect unit costs? A. In recommending savings goals and reviewing unit costs, Apex sought to benchmark against appropriate comparator jurisdictions, und...

AI summary Apex believes benchmarking should consider factors such as program maturity, climate, energy prices, regulatory requirements, eligibility for Codes and Standards savings, and portfolio composition to accurately assess unit costs for energy efficiency programs.

Q. Why is using the Faster and Cheaper report as a benchmark for unit costs without additional analysis inappropriate in this instance? A. As an initial factor, looking at climate zones for the utilities in the Faster and Cheaper report sh...

AI summary The use of the Faster and Cheaper report as a benchmark for unit costs is inappropriate due to significant climate differences between Nova Scotia and the majority of the utilities in the report, which are in warmer ASHRAE climate zones. This leads to higher cooling savings in those regions, which are not applicable in Nova Scotia's colder climate.

Q. What happens when you dig a little deeper into the utility programs listed in the Faster and Cheaper report? A. Nova Scotia Power noted that programmatic changes such as the moving away from low- cost, high-volume offerings like LEDs co...

AI summary Nova Scotia Power discusses the impact of programmatic changes, such as moving away from low-cost, high-volume offerings like LEDs. Georgia Power Co. and Salt River Project (SRP) are highlighted as examples with different program structures, making direct comparisons to Nova Scotia's EfficiencyOne (E1) program less meaningful.

- within the range of these states: [6](#page-54-0) State Cost per kWh (converted to CAD)7 Minnesota $0.27 Wisconsin $0.28 Maine $0.69 New Hampshire $0.82 Vermont $0.92 Other northern climate zones show a range of unit costs from CAD$0.25-...

AI summary The table compares electricity costs per kWh in various northern climate zones, highlighting significant differences. E1's proposed unit costs align closely with observed costs in similar climates, while intervenors' use of a blended national average creates an outlier. This suggests E1's cost estimates are more accurate for Nova Scotia's climate.

Q. What happens to the unit cost comparison if you look at a smaller set of comparator jurisdictions, using their recent regulatory filings? A. Apex reviewed regulatory filings of potential comparator jurisdictions and analyzed additional...

AI summary The unit cost comparison of EfficiencyOne (E1) was analyzed using a smaller set of comparator jurisdictions, considering factors like climate, building stock, energy pricing, and program design. E1 still ranked well within the unit cost range. The analysis used data from the ACEEE 2025 State Scorecard and exchange rates from the Bank of Canada.

First-Year Unit Costs Ranked from Most to Least Expensive on a Portfolio Basis Jurisdiction Portfolio CAD Newfoundland and Labrador $1.38 New Brunswick (w/o Industrial Program, Business Rebate) $1.12 New Hampshire $0.96 Vermont $0.89 Princ...

AI summary The table ranks first-year unit costs of energy efficiency programs across various jurisdictions, with EfficiencyOne having the lowest cost at CAD 0.66 and Newfoundland and Labrador having the highest at CAD 1.38. New Brunswick's cost is adjusted by excluding certain programs.

Q. Does Apex believe that the 2027-2031 DSM Plan savings goals are reasonable? A. In our opinion, E1's 2027-2031 goals seem reasonable and appropriate given the mature nature of the programs and the emphasis in this Plan on near-term affor...

AI summary Apex considers E1's 2027-2031 DSM Plan savings goals reasonable, particularly due to their focus on affordability and alignment with similar jurisdictions. The goals are lower than the IRP Base Scenario but consistent with comparable regions. Apex notes that market conditions and costs have changed since the last IRP, and the Consumer Price Index has increased significantly, impacting the economic context.

Q. Has Apex observed rising costs in other mature jurisdictions? A. Yes. As shown in E1's response to IG IR-10, Attachment 2, Massachusetts, which has long standing programs with robust budgets, removed its behavioral and lighting programs...

AI summary Apex has observed rising costs in mature jurisdictions, citing examples from Massachusetts and Efficiency Maine. Program administration and marketing costs have increased significantly over time, reflecting market realities rather than inefficiencies. These trends are influenced by program maturity, equity priorities, and global economics.

Q. What other market and program forces help explain E1's rising unit costs? A. Measurement & Verification updates and net savings adjustments have a significant impact on claimable savings. As programs mature, evaluations often reduce net...

AI summary E1's rising unit costs are influenced by factors such as measurement and verification updates, net savings adjustments, market transformation, and increased program delivery costs. As programs mature, savings claims decrease, and more complex and expensive opportunities arise, leading to higher spending on customer incentives and program delivery.

Incentive Setting Matrix 10 Sector Delivery Replacement Type Suggested Basis Range Suggested Upper Limit Res Rebate Retrofit Project Cost 30-75% 100% Res Rebate ROB Incremental Cost 30-75% 100% Res DI Retrofit Project Cost 75-100% 100% Res...

AI summary The Incentive Setting Matrix outlines suggested rebate and incentive ranges for various sectors and replacement types, including residential and business sectors, with different delivery methods such as rebates and direct installation. The matrix includes suggested bases for incentives, such as project cost and incremental cost, and sets upper limits for each category.

etween 2023 and 2031, the overall Residential Portfolio unit cost is projected to increase by 257 percent. In the Home Energy Assessment program, the increase could be as high as 2,114 percent. 28 29 At the same time, the key emerging dema...

AI summary The document highlights significant projected increases in the cost of the Residential Portfolio and the need to modernize the DSM Plan to include strategic electrification and demand response. It emphasizes the importance of emerging technologies like electric vehicles and solar with battery storage, and notes the transformation of Nova Scotia's electricity system toward a coal-free grid by 2030.

Individual measures do not necessarily need to pass independently where the overall portfolio remains cost-effective. This creates a clear pathway for including strategic electrification. 9 10 11 12 Electric vehicles, hybrid heating system...

AI summary The text emphasizes the importance of strategic electrification and demand response in the 2027-2031 Plan. It argues that mature technologies like electric vehicles and smart water heaters should be included in the plan, not just in R&D. Demand response should expand, especially through new construction and equipment replacement, rather than relying on fully subsidized thermostats.

government changed the legislated definition of DSM to include "strategic electrification of energy end uses currently powered by fossil fuels in a manner that reduces overall greenhouse gas emissions and electricity costs" [in the Public...

AI summary The Ecology Action Centre argues that the revised definition of DSM in the Public Utilities Act lacks clarity on electricity cost reductions and opposes a flat-rate cut to EfficiencyOne spending, citing energy poverty concerns. They emphasize the need for strategic electrification and demand-side management to reduce energy costs and achieve net-zero goals.

wer retained Dr. Sanem Sergici of The Brattle Group (Brattle) to review and assess E1's Preferred Plan. To summarize, Brattle's key recommendations on NS Power's three areas of concern are as follows: • DR should be treated as a critical d...

AI summary The document outlines recommendations from Dr. Sanem Sergici of The Brattle Group regarding EfficiencyOne's (E1) Preferred Plan. Key points include treating demand response (DR) as a critical dispatchable capacity resource, expanding residential DR programs, and developing a phased Strategic Electrification (SE) pathway with cost-effective measures and managed EV charging.

t he 2020- 2035 Potent ial Study. The Utilities will use the results of the Study to assist in conservation and demand management planning and supply resource planning. Chris was the Project Director. Technical Reference Manual (TRMJ Juris...

AI summary The document discusses various energy efficiency and demand management projects, including the 2020-2035 Potential Study, a technical review of the OEB TRM by Enbridge Gas Inc., and the development of updated prescriptive measure costing for the HER+ Program. Chris and Posterity Group were involved in these projects, and the Northern Energy Advantage Program in Ontario is also highlighted.

terity Group to help develop PNG's 2023 Consolidated Resource Plan and Long- Term DSM Plan. The resource plan development involves the development, analysis, and reporting of energy consumption forecasts (for 20 years from 2023-2042) under...

AI summary Posterity Group is working with FortisBC on various energy efficiency initiatives, including the development of a long-term DSM plan, a five-year DSM expenditure plan, and an assessment of additional energy savings from DSM measures. These projects involve forecasting, modeling, and evaluating program effectiveness to support FortisBC's emissions reduction targets.

transportation, liquefied natural gas production, renewable natural gas production, and/or district energy availability. Chris acted as Commercial Sector lead and Project Director for this assignment. Study of Federal Programming Strategie...

AI summary This text discusses a study commissioned by Natural Resources Canada to develop a data-driven energy efficiency programming strategy inspired by the U.S. Department of Energy's approach. The study aimed to improve coordination and resource use in federal energy efficiency programs, with Chris serving as a Senior Advisor.

ding FortisBC's 2021 CPR. It supported adjust ments to PNG's current portfolio of DSM programs and PNG's 2023 DSM Plan and Resource Plan filing. Chris acted as Project Director and Commercial Advisor. 2022 Long Term Gas Resource Plan Deman...

AI summary The text discusses FortisBC's 2021 CPR and their 2022 Long Term Gas Resource Plan, supported by Posterity Group's analysis of gas demand and policy impacts. Chris is involved as Project Director in both projects.

Introduction Chair and members of the Energy Board and representatives of EfficiencyOne and Nova Scotia Power and other intervenors: I represent the Affordable Energy Coalition as past Chair from 2012 to 2025. The Affordable Energy Coaliti...

AI summary The Affordable Energy Coalition opposes a proposed cut in EfficiencyOne spending and the shift of savings from residential to business. They argue that the earlier IRP-based plan was more beneficial to Nova Scotians, noting that the current plan would result in higher monthly electricity bill increases for households over time.

Payback : Check at least 3 measures (types include: DI measure, incented RET and ROB measures) and show components of the payback with and without incentives to verify they are calculated correctly. - h. Model checks for Round 2 model chan...

AI summary This section outlines model quality control checks, including verifying payback calculations for energy efficiency measures and ensuring correct program mapping in the model. It emphasizes checks for accuracy in allocations and formulas, particularly after Round 2 modelling.

5 Tracked Results Evaluated Results DSM Program Program Component Annual Gross Savings (GWh) Annual Net Savings (GWh) Annual Gross Savings (GWh) NTGR b Annual Net Savings (GWh) Lifetime Net Electrical Energy Savings (GWh) Difference in Net...

AI summary This table presents the results of a Demand Side Management (DSM) program, including gross and net energy savings across various residential and BNI components. It highlights differences in net savings, realization rates, and lifetime savings for different program initiatives.

4 The impact on non-participant bills for the "High DR" scenario was very close to the "Preferred 5 Plan" DR scenario that was ultimately presented by E1 but not exactly the same. E1 did not provide 6 a corresponding cost estimate for the...

AI summary The document compares different demand response (DR) and solar PV scenarios, noting minimal cost differences between the 'High DR' and 'Preferred Plan' DR scenarios. It also highlights a significant cost difference between the 'IRP DR' scenario and the preferred plan, with a total cost difference of $195.1 million. Supporting tables and workpapers are referenced.

measures such as building envelope upgrades, heat pump installations, and 1 i. Does E1 agree that there are risks associated with the proposed 2027-2031 25 can be observed from the table below, energy efficiency rate impacts are within 26...

AI summary The text discusses questions raised about the proposed 2027-2031 energy efficiency and demand response measures, including the impact of these measures on rates, the calculation of aggregate bill savings, and the reasons for the absence of total customer bill impacts in a specific figure for the Municipal Rate Class.

Request IR-20: Regarding Section 6 "Preferred Plan Details" of the Application: - a. Pdf pg. 62 states: "The Preferred Plan's energy efficiency resource has a first-year unit cost of $0.66/kWh and a weighted average measure life of 12.3 ye...

AI summary The document requests clarification and supporting evidence for the energy efficiency resource costs and calculations in the Preferred Plan, specifically referencing the first-year unit cost, weighted average measure life, and lifetime unit cost compared to NS Power's average fuel cost. It also requests references or spreadsheet calculations for the data in Tables 7, 8, and 9.

Document: 329676 Date Filed: May 7, 2026 Page 25 of 37 1 i. Please confirm whether these proposed enhancements have the support of 29 incremental cumulative net energy savings from dedicated low-income and equity 30 programs, 29.3 MW of av...

AI summary The text includes questions and requests related to energy savings targets, the rationale for selecting specific energy savings values, and the consideration of strategic electrification in the Preferred Plan. It also asks about the role of strategic electrification in reducing GHG emissions and electricity costs.

Plan? Request IR-37: Absent any specific demand or energy reduction targets requested by NS Power or IESO-NS, please explain how E1 determined that the quantities and associated expenditures in its DSM Plan are the correct amounts that are...

AI summary The document contains several requests for clarification regarding E1's DSM Plan, including how E1 determined the quantities and expenditures, program development strategies, allocation of energy savings across rate classes, and the economic viability of increased spending with decreasing savings.

sts? Please describe a scenario in which changes in avoided costs would result in strategic electrification not increasing electricity costs. If not, please explain how this investment can result in the inclusion of strategic electrificati...

AI summary The text discusses the cost-effectiveness of Demand-Side Management (DSM) compared to fuel costs, highlighting that DSM has consistently been less expensive than fuel over the past years. It raises questions about the conditions under which strategic electrification could reduce electricity costs and how DSMAG members might identify measures that reduce both GHG emissions and electricity costs. It also asks about alternative funding sources for strategic electrification if ratepayer funds are not available.

- 2 Reference: Exhibit E-1, Application, page 36/71; and Exhibit E-1, Appendix B, Section 9, 27 2027–2031, representing approximately 64% of the 683.1 GWh savings target in NSPI's 11 adjustment to DSM targets or program spending if the new...

AI summary The document discusses the alignment of demand response with the Integrated Resource Plan (IRP) and the need to adjust DSM targets based on new IRP findings. It also references the use of Modified-PAC results for strategic electrification scenarios, highlighting considerations around system reliability, affordability, and risk assessment.

Request IR-7: - Reference: Exhibit E-1, Application, page 40/71, lines 19–21. - Over the same time period in which the investment of $318.75 million is made, the Preferred Plan will achieve $682.5 million in avoided utility costs. - 5 Is t...

AI summary The document questions whether the stated 'avoided utility costs' of $682.5 million in the Preferred Plan are equivalent to 'lifetime customer benefits' mentioned elsewhere, and if so, whether carbon costs are included and the assumptions used.

- 28 (a) Please provide a table explaining the increase in first-year unit cost from 29 $0.49/kWh (2026) to $0.66/kWh (2027–2031), broken down by the 30 following drivers: 1 (i) Change in measure mix (e.g., shift away from lighting); 2 (ii...

AI summary The document requests a detailed breakdown of the increase in first-year unit costs for energy efficiency programs from 2026 to 2027–2031, including factors like changes in measure mix, incentive levels, and participation volumes. It also asks for methodology, lifetime unit cost data, and benchmarking against other jurisdictions.

- Attachment 3 from the 2026 DSM Plan) on the custom program components: 2026 Proposed 2027 Preferred Plan 2028 Preferred Plan SEM Custom - Strategic Energy Management 3,976.47 $160,000 4.0 $640,000 4.61 4,188.79 $60,000 4 $240,000 9.39 4,...

AI summary Attachment 3 from the 2026 DSM Plan outlines proposed and preferred plan components for custom energy management programs, including Strategic Energy Management and Pay for Performance, with details on savings, incentives, participation, and total incentives for various years.

- 4 (b) Please explain the decrease in Strategic Energy Management per unit 5 incentive from $160,000 in 2026 to $60,000 in the 2027-2031 Plan. Specify 6 how and why the incentive setting methodology led to the decision. - 7 (c) Comparing...

AI summary The text requests explanations for changes in incentive amounts and participation levels in energy management programs, including Strategic Energy Management and Industrial Retrofit, and asks for reconciliation of data between tables and exhibits. It also inquires about consultations to support projected increases in program participation.

21 1 (g) Please break down Table 36 and Exhibit E-1-(ii) custom programs 2 (including Strategic Energy Management) split by all rate classes included 3 in the BNI programming. 4 (h) Please explain how the incentive levels were established...

AI summary The document requests a breakdown of custom programs, including Strategic Energy Management, by rate class within the BNI programming. It also asks for an explanation of how incentive levels were established for Medium and Large Industrial customers, noting that their lower bill impact benefits are attributed to consumption tied to complex industrial processes.

a) Mercer Reports – Executive Compensation The primary outstanding issue relates to the Intervenors' request that the confidential treatment of the Mercer Reports about executive compensation be relaxed from "Board Confidential" to "Genera...

AI summary The issue is whether the Mercer Reports on executive compensation should be made more accessible to intervenors under a Confidentiality Undertaking. The Province initially supported full public disclosure, but later agreed to a CU-based disclosure. NS Power's executive compensation is capped by the Public Utilities Act, and the cost is forecast to increase by 2% annually from 2022 to 2024.

DEMAND FORECASTING - For a large energy company, Brattle experts evaluated the drivers of load growth in the ERCOT and PJM region. The study focused on the energy and peak impacts of demand for electricity from data centers and cryptocurre...

AI summary The text discusses demand forecasting studies conducted by Brattle experts for various utilities and regions, including ERCOT, PJM, and National Grid Massachusetts. These studies evaluate load growth drivers, assess forecasting methodologies, and analyze the impact of demand-side resources and uncertainty factors on load forecasts.

NON-CONFIDENTIAL (b) GEEG notes that carving out 10% of the budget for dedicated low-income retrofit program funding to mitigate or eliminate pre-weatherization barriers through performing asbestos abatement or addressing a leaky roof "mea...

AI summary GEEG raises concerns about increasing ratepayer costs for services with limited energy savings, specifically regarding a 10% budget carve-out for low-income retrofit programs. The proposal is questioned for its potential to increase unit costs and reduce benefits.

1 (c) Please confirm Brattle's understanding that Nova Scotia is a winter-peaking system and that 2 summer cooling-based DR provides no value during NS Power's December–February peak 3 period. 4 5 (d) Please provide any utility-scale winte...

AI summary The document requests confirmation that Nova Scotia is a winter-peaking system and that summer cooling-based demand response (DR) programs have no value during winter peaks. It also asks for examples of utility-scale winter-heating thermostat DR programs and cost data. Additionally, it requests source data for peer utilities and details on the scale and investment required for E1's residential DR program to be cost-effective.

30 1 2 3 (a) Please confirm whether Posterity's analysis and recommendations apply equally to, the following, and if the recommendations apply differently to any of these categories, please explain the differences and their rationale. 4 (i...

AI summary The document requests clarification on Posterity's analysis and recommendations for different building types, the application of peak demand incentives, and the measurement of peak demand reductions in new construction. It also asks for design changes to the Custom NC Program to account for industrial demand reduction benefits.

29 (a) Please confirm: 1 (i) what "optimal DSM resource acquisition levels" means 2 operationally — is this the IRP's Base profile or some other 3 metric; and 4 (ii) whether Mr. Love's recommended trigger would also apply 5 when IRP findin...

AI summary The text requests clarification on the meaning of 'optimal DSM resource acquisition levels' and whether a 20% threshold is appropriate for triggering a Mid-Course Adjustment (MCA). It also asks about the conditions for approving an MCA that increases the budget and the evidentiary requirements for such approvals. References to specific regulatory matters (M12386, M12916) are included.

1 Request IR-8: 2 Reference : E-21, Section VII – Unit Costs. 9 ensure greater cost-effectiveness. Preamble: At pages 26-35 of the evidence, Mr. Love analyzes E1's rising unit acquisition costs, noting that the Preferred Plan projects a fi...

AI summary The document discusses Mr. Love's analysis of E1's rising unit acquisition costs in energy efficiency programs, noting a 35% increase from the 2026 Plan to the Preferred Plan. Factors cited include the end of federal funding, the LED lighting transition, inflation, and revised heat-pump evaluations. Questions are raised regarding predictability, cost-containment measures, benchmarking, and comparative unit costs in other jurisdictions.

1 (f) Given that Mr. Love considers E1's existing unit acquisition costs as 2 materially above comparable jurisdictions, please explain how directing E1 3 to acquire substantially more savings — using the same program designs 4 and deliver...

AI summary The text questions how increasing E1's savings targets using existing program designs would lower average unit costs for ratepayers, given that E1's current unit acquisition costs are higher than comparable jurisdictions. It also asks whether the marginal cost per kWh for additional IRP-scenario savings would be higher or lower than the Preferred Plan average of $0.66/kWh.

11 Request IR-9: 12 Reference: Pages 32-34. - 13 Preamble: Mr. Love notes that customer incentives account for approximately 71% of 14 total plan costs under the Preferred Plan, up from the 66% in the 2026 Plan. Mr. Love 15 criticizes the...

AI summary Mr. Love highlights that customer incentives make up 71% of total plan costs under the Preferred Plan, up from 66% in the 2026 Plan. He recommends that E1 conduct measure-specific research to ensure incentive levels are set at the minimum necessary to secure participation, with updates no later than January 1, 2028.

1 Request IR-2: 2 Reference: E-22, Page 3. 3 Preamble: Brattle states that the Preferred Plan allocates approximately $286.8 million - 4 (90% of total investment) to the EE portfolio, $29.1 million (9%) to DR, and $2.8 million (1%) - 5 to...

AI summary The document requests clarification on Brattle's recommended allocation of DSM funding across energy efficiency (EE), demand response (DR), and solar PV (SE) within the proposed five-year budget. It also asks about reallocating funds from EE to DR/SE, the expected impact on energy savings, and the total budget level Brattle supports, along with the expected PAC ratio for the expanded DR portfolio.

14 Request IR-4: - 15 Reference: E-22, page 5. - 16 Brattle states that "distributed solar PV systems already receive compensation through - 17 net metering, so by including them in the DSM funding, they are double compensated for - 18 rat...

AI summary The text references Brattle's assertion that distributed solar PV systems are double-compensated through DSM funding and net metering. It also cites a 2026 ACEEE report, which highlights discrepancies in the cost of energy efficiency between E1's Preferred Plan and other jurisdictions. Questions are raised about the methodology and data used in these comparisons.

28 Finally, E1 should be required to report DR performance in a way that allows 29 the resource to be used in system planning and operations. That means 1 2 3 DR will continue to sit in an uncomfortable middle ground counted as a promising...

AI summary The document requests detailed reporting requirements for Demand Response (DR) performance to ensure its effective use in system planning and operations. It also inquires about Brattle's analysis of the relationship between NSPI's interest in DSM and cost-effective EE programs, as well as the impact of the 2026 ELCC Study on DR programming and cost-effectiveness analysis.

19 Request IR-2: 20 Reference: E-23, Pages 11-13. - 21 Preamble: Synapse concludes E1's Preferred Plan will deliver approximately 215 GWh 22 less in annual energy efficiency savings than the IRP assumes by 2031, and approximately 23 9 MW l...

AI summary Synapse's analysis indicates that E1's Preferred Plan will result in significantly lower energy efficiency and peak demand savings compared to the 2022 Evergreen IRP, with a cumulative energy efficiency savings gap of 214.7 GWh between 2027 and 2031.

1 See P 3 of App A of E1 Plan (p 91) The four approved performance targets over the 2023–2026 Plan period. AND P 99 (187) of App A: Table 62: 2027–2031 DSM Preferred Plan Performance Indicators 2 See P 7 (95) of App A of E1 Plan; P 25 (113...

AI summary The document raises concerns about a significant cut in spending levels for the DSM Plan, leading to a loss of investment and savings compared to the 2022 IRP. It recommends increasing DSM funding to meet affordability goals, citing input from the Consumer Advocate, Board Counsel, and other stakeholders.