Topic:"Energy Efficiency" in M11630

Holder of the Efficiency Nova Scotia Franchise

AI summary The document pertains to the holder of the Efficiency Nova Scotia Franchise, likely involving regulatory proceedings related to energy efficiency programs in Nova Scotia. Key details are not provided in the excerpt.

1. EXECUTIVE SUMMARY - EfficiencyOne ("E1") delivers demand side management ("DSM") programs and is the - administrator and operator of the Efficiency Nova Scotia ("ENS") franchise. The 2023 Annual - Progress Report ("APR") summarizes E1's...

AI summary EfficiencyOne (E1) reports on its 2023 progress toward DSM targets set by the NSUARB, including energy and peak demand savings. The 2023-2025 plan, approved with a $173M investment, requires achieving four performance targets. E1 achieved 32% of its energy savings goal and 35% of its peak demand savings goal in 2023, forecasting full target achievement by 2025.

2. 2023 PLAN AS APPROVED AND 2023 MID-COURSE TARGETS 2023 Plan targets are 120.7 GWh of incremental annual net energy savings, 26.9 MW of annual net peak demand savings, and 3.0 MW of available capacity, within an investment of $53.1 milli...

AI summary The 2023 Plan targets 120.7 GWh energy savings, 26.9 MW peak demand savings, and 3.0 MW capacity with a $53.1M investment. E1 adjusted mid-course targets in Q1 2023 to align with the plan, incorporating market trends and evaluations.

3. 2023 PORTFOLIO RESULTS - In comparison to E1's 2023 mid-course targets, E1 achieved the following results: - 131.6 GWh of incremental annual net energy savings (109% of the mid-course adjusted target of 120.7 GWh); - 27.6 MW of annual n...

AI summary E1 exceeded 2023 mid-course energy efficiency targets by 109% for net energy savings and 103% for peak demand savings, driven by strong campaign performance and the Canada Greener Homes Grant. The Residential Behaviour program was delayed until 2024, while New Home Construction met targets. Affordability programs achieved 65% of their energy savings goals.

Table 1: 2023 Results to 2023 Plan as Approved, 2023 Mid-Course Adjustments, and 2023 Year-End Forecast 2023 Energy Efficiency (EE) Programs • • • • Efficient Product Rebates 10.9 82.9 1.2 4.0 - 11.4 83.5 1.3 4.2 - 13.4 100.4 1.7 4.8 13.2...

AI summary Table 1 outlines the 2023 results for Energy Efficiency (EE) programs, including Efficient Product Rebates, Appliance Retirement, Instant Savings, and Existing Residential programs, compared to the 2023 plan, mid-course adjustments, and year-end forecasts. The data includes metrics such as participation, costs, and other relevant figures.

5.2 Residential Sector Results - The Residential sector consists of the following programs: - Efficient Product Rebates; - Existing Residential; and Date Filed: April 1, 2024 Page 17 of 44 1 • New Residential. 2 - 3 In 2023, the Residentia...

AI summary The Residential sector achieved 60.2 GWh energy savings and 16.7 MW peak demand savings in 2023, exceeding mid-course adjusted targets. E1 provided variance explanations for programs deviating by 25% from targets, including Efficient Product Rebates, Existing Residential, and New Residential programs.

13 5.2.1 Residential Efficient Product Rebates - 14 The Residential Efficient Product Rebates program consists of two program components: - 15 Appliance Retirement; and - 16 Instant Savings. 17

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

18 Table 5: 2023 Residential Efficient Product Rebates RESIDENTIAL EFFICIENT PRODUCT REBATES (2023) Residential Efficient Product Rebates Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2023 Results 13.2 1.7 5.3 2023 MCA T...

AI summary Residential Efficient Product Rebates exceeded 2023 mid-course adjusted targets for energy and demand savings due to higher uptake in the Instant Savings program and increased sales of high unitary demand savings products like room air purifiers. Expenditures rose above planned spending due to increased sales of high unit cost items (e.g., dishwashers and dehumidifiers).

RESIDENTIAL EFFICIENT PRODUCT REBATES (2023) appliances (dehumidifiers, refrigerators, freezers, clothes dryers), for eligible participants in both the Affordable Single-family Homes program component and Mi'kmaw Home Energy Efficiency Pro...

AI summary The 2023 Residential Efficient Product Rebates program offers rebates for energy-efficient appliances like dehumidifiers and refrigerators through two initiatives: the Affordable Single-family Homes program and the Mi'kmaw Home Energy Efficiency Project. Instant Savings provides point-of-sale rebates for eligible purchases.

Instant Savings Highlights - Instant Savings ran two successful campaigns with higher-than-anticipated uptake and strong campaign savings results. - o The spring campaign ran from March 31 to May 29 at 163 store locations across the provin...

AI summary Instant Savings conducted successful spring and fall campaigns with high participation and strong savings outcomes. Campaigns included 240+ in-store events across 163+ locations, with LED lighting, dehumidifiers, and ENERGY STAR dishwashers as top-selling products. E1 administers HomeWarming programs with provincial funding and DSM funds covering appliance costs for non-electric homes.

2 5.2.2 Existing Residential - 3 The Existing Residential program consists of the following program components: - 4 Affordable Multi-family Housing and Non-Profit Organizations; - 5 Efficient Product Installation; - 6 Green Heat; - 7 Home...

AI summary The Existing Residential program includes components such as Affordable Multi-family Housing, Efficient Product Installation, Green Heat, Home Energy Assessment, Affordable Single-family Homes, the Mi'kmaw Home Energy Efficiency Project, and Residential Behaviour initiatives aimed at enhancing residential energy efficiency.

12 Table 6: 2023 Existing Residential EXISTING RESIDENTIAL (2023) Existing Residential Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2023 Results 41.7 13.0 13.8 2023 MCA Target 38.5 11.6 20.7 • Existing Residential excee...

AI summary Existing Residential exceeded 2023 mid-course adjusted energy and demand savings targets but fell short of planned spending. Lower-than-anticipated expenditures in Affordable Single-family Homes were due to capacity challenges, while Residential Behaviour expenses decreased from delayed program launches and limited completions.

Program Components • The Affordable Multi-family Housing and Non-Profit Organizations program component assists nonprofit organizations (e.g., shelters, transition houses, community hubs etc.) and affordable housing Date Filed: April 1, 20...

AI summary The Program Components section outlines various initiatives by Efficiency Nova Scotia (E1) to promote energy efficiency. These include financial incentives for retrofits in multi-family housing, free product installations, heating system upgrades, home energy assessments, and targeted programs for low-income households and Mi'kmaw communities. A new residential behavior program aims to encourage energy-conscious habits using AMI data.

Efficient Product Installation Highlights - The average number of Efficient Product Installation products installed per home in 2023 was 15.8, consistent with recent years.[11](#page-24-0) LEDs remained the most prevalent measure type, acc...

AI summary In 2023, 15.8 efficient products per home were installed, with LEDs dominating at 77%. Smart thermostats for mini-split heat pumps remained popular, though E1 paused smart baseboard thermostat trials due to lower revenue and competition. Window film kits were introduced in Q3. Marketing campaigns and community blitzes drove participation, with 11 events held province-wide.

Home Energy Assessment Highlights - Home Energy Assessment had strong participation and energy and demand savings results throughout 2023, as the Canada Greener Homes Grant program drove customer interest. - After signing an agreement with...

AI summary The Home Energy Assessment program in Nova Scotia saw increased participation and energy savings in 2023, driven by the Canada Greener Homes Grant. E1 partnered with Natural Resources Canada to administer rebates starting March 2023, leading to higher savings per participant due to solar adoption. E1 expanded by signing agreements with three new service organizations to meet growing demand.

Affordable Single-family Homes Highlights - E1 launched Affordable Single-family Homes as a new program component offering in 2023, as outlined in the 2023-2025 DSM Plan. [16](#page-26-0) - Customer interest in the program component was hi...

AI summary E1 launched the Affordable Single-family Homes program in 2023 under the DSM Plan, facing high demand but lower-than-expected completions for electric homes due to capacity issues, limited upgrade potential, and heat pump installation delays. E1 addressed these by adding delivery agents and staff in Q3 2023.

Mi'kmaw Home Energy Efficiency Project Highlights • The Mi'kmaw Home Energy Efficiency Projectsaw its highest participation result since it launched. [17](#page-26-1) (Note: First launched as a pilot in 2018, the initiative became a new pr...

AI summary The Mi'kmaw Home Energy Efficiency Project achieved its highest participation since its 2018 pilot launch, now part of E1's Existing Residential program. Funded by provincial and Natural Resources Canada sources for non-electric homes, and DSM funds for electric homes, the program extended agreements with all 13 Mi'kmaw communities until 2027. Outreach included bilingual impact reports and marketing materials.

5 Table 7: 2023 New Residential NEW RESIDENTIAL (2023) New Residential Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2023 Results 5.3 1.9 2.0 Date Filed: April 1, 2024 Page 25 of 44 NEW RESIDENTIAL (2023) 2023 MCA Target...

AI summary The 2023 New Residential program exceeded its mid-course adjusted energy and demand savings targets, with 816 projects completed by year-end. E1 and its partners achieved 5.3 GWh energy savings, 1.9 MW demand savings, and $2.0 million in expenditures, surpassing planned spending. The program's performance highlights successful execution despite challenges.

Program Component - The New Home Construction program component aims to encourage homeowners and builders to exceed energy efficiency building code requirements in new home constructions by providing modelling support for a participating h...

AI summary The New Home Construction program component, part of Efficiency Nova Scotia's DSM Plan, aimed to incentivize energy efficiency in new homes through modelling support and tiered incentives. The program ended on December 31, 2023, with its wind-up detailed in E1's 2023-2025 DSM Plan.

New Home Construction Highlights - Throughout the year, E1 diligently followed up with customers and service organizations to closely track active participants and bookings in the hopes of completing as many projects as possible before the...

AI summary E1 tracked participants and completed 31 Multi-Unit Residential Building (MURB) pilot projects by year-end. Marketing efforts included email reminders for home energy assessments. The program and MURB pilot closed on December 31, 2023, with a focus on completing projects before the deadline.

1 5.3 Business, Non-Profit and Institutional (BNI) Sector Results - 2 The BNI sector is comprised of the following programs: - 3 Efficient Product Rebates; - 4 Custom Incentives; and - 5 Direct Installation. 6 10 7 In 2023, the BNI sector...

AI summary In 2023, the BNI sector achieved 71.4 GWh energy savings and 10.9 MW demand savings, exceeding mid-course adjusted targets. E1's Energy Manager initiative supported organizations in identifying efficiency projects, with six placements partially funded by DSM. Variance explanations were provided for programs deviating by 25% from targets.

5.3.1 Efficient Product Rebates 12 The 2023 Efficient Product Rebates program is marketed as Business Energy Rebates. 13 14

AI summary The 2023 Efficient Product Rebates program, marketed as Business Energy Rebates, is discussed in the context of Nova Scotia regulatory proceedings involving Efficiency Nova Scotia and the Nova Scotia Utility and Review Board.

Table 8: 2023 BNI Efficient Product Rebates BNI EFFICIENT PRODUCT REBATES (2023) BNI Efficient Product Rebates Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2023 Results 38.8 6.0 8.4 2023 MCA Target 30.0 5.3 7.3 BNI Effi...

AI summary Table 8 shows BNI Efficient Product Rebates exceeded 2023 mid-course adjusted targets (30.0 GWh energy savings, 5.3 MW demand savings, $7.3M expenditure) with actual results of 38.8 GWh, 6.0 MW, and $8.4M. Higher participation was driven by successful marketing and increased incentives until April 15.

BNI EFFICIENT PRODUCT REBATES (2023) - Several on-site distributor appreciation events were held to recognize Instant Rebates distributor partners. In 2023, the program had more than 50 participating distributor locations across the provin...

AI summary The BNI Efficient Product Rebates (2023) program expanded distributor engagement through events and a contractor/distributor pilot initiative. Marketing efforts for Business Energy Rebates included campaigns, webinars, and outreach. Supply chain delays reduced completed projects, with many expected to finish in 2024.

Program Components / Offerings - The Custom program component provides large business, non-profit and institutional participants with technical assistance and financial incentives to help reduce electricity consumption and demand and inclu...

AI summary The Custom program offers technical assistance and incentives to large businesses for energy reduction, including Retrofit, Building Optimization, Pay-for-Performance, and New Construction. Strategic Energy Management (SEM) focuses on operational changes for long-term energy savings. EMIS was merged into SEM per the 2023-2025 DSM Plan, though no EMIS funding applications were made. Efficiency Nova Scotia (E1) and the NSUARB are involved.

4 Table 10: 2023 Direct Installation DIRECT INSTALLATION (2023) Direct Installation Energy Savings (GWh) Demand Savings (MW) Expenditure ($ million) 2023 Results 7.5 1.5 4.9 2023 MCA Target 11.9 2.1 6.7 19 E1 2023 DSM Programs Evaluation R...

AI summary Table 10 presents the 2023 Direct Installation results, showing energy savings of 7.5 GWh, demand savings of 1.5 MW, and expenditures of $4.9 million, compared to the 2023 MCA target of 11.9 GWh, 2.1 MW, and $6.7 million. The data is sourced from Efficiency Nova Scotia's 2023 DSM Programs Evaluation Reports.

Program Component - The Direct Installation program is comprised of the Small Business Energy Solutions program component. Small Business Energy Solutions offers small businesses incentives and resources to encourage them to make energy ef...

AI summary The Direct Installation program includes the Small Business Energy Solutions initiative, offering incentives for energy upgrades. Participants can choose between an audit or DIY path, with contractor options. E1 launched a Commercial Direct Install pilot in 2021, providing free efficient measures like LED bulbs and hot water tank wraps, continuing through 2023.

DIRECT INSTALLATION (2023) - o a contractor spotlight campaign ran from August 14 to December 18. This campaign featured Efficiency Preferred Partner members, information about the incentives offered through Small Business Energy Solutions...

AI summary Efficiency Nova Scotia (ENS) conducted a contractor spotlight campaign (August 14–December 18) highlighting Efficiency Preferred Partner members and incentives like Small Business Energy Solutions and Business Energy Rebates. A general BNI marketing campaign targeted all Nova Scotia businesses year-round, while Business Development Managers supported retrofit projects across lighting, heating, and refrigeration.

2 5.5.1 Performance Target 3 In the 2023-2025 approved Plan, the NSUARB established a Performance Target of 15.8 GWh for 4 cumulative annual energy savings applicable to Affordable Single-family Homes, Affordable Multi-family Housing, and...

AI summary Efficiency Nova Scotia (E1) missed its 2023 mid-course energy savings target for Affordable Single-family Homes due to capacity challenges with delivery agents and contractors. E1 added two delivery agents in Q3 2023 and plans to expand further in 2024 to meet its 15.8 GWh cumulative annual energy savings target for Affordable Homes and Mi'kmaw projects, referencing a 2022 NSUARB decision.

Table 12: 2023 Results Applicable to Affordable Single-family Homes, Affordable Multi-family Housing, and Mi'kmaw Home Energy Efficiency

AI summary Table 12 presents 2023 results for energy efficiency programs targeting affordable single-family and multi-family housing, as well as Mi'kmaw home energy initiatives. It outlines performance metrics for these specific housing categories under regulatory oversight.

5.5.2 Performance Indicator The NSUARB also established a Performance Indicator of incidental cumulative annual energy savings of 23.6 GWh applicable to low-income and underserved communities from non-targeted programs. [26](#page-39-1) E1...

AI summary The NSUARB set a 23.6 GWh annual energy savings target for low-income/underserved communities via non-targeted programs. E1 met its 2023 mid-course adjusted target (10.3 GWh achieved) using Residential and BNI rebates, custom incentives, and direct installation. E1 updated its methodology for estimating program impacts in Q3 2023, with 2023 results reflecting these changes.

1 Table 13: 2023 Results Applicable to Low-Income and Underserved Communities, Non-Targeted Programs 2023 Plan Performance Indicators 2023 Mid-Course Adjustments 2023 Forecast (Year-End) 2023 Results First-Year Energy Savings (GWh) Lifetim...

AI summary Table 13 presents the 2023 results for low-income and underserved communities and non-targeted programs, showing performance indicators such as energy savings, participation, and expenditures for programs like Efficient Product Rebates and Appliance Retirement.

10 Table 14: 2023 Enabling Strategies

AI summary Table 14 outlines 2023 enabling strategies, involving Efficiency Nova Scotia (ENS) and the Nova Scotia Utility and Review Board (NSUARB). Key acronyms include DSM (Demand Side Management) and E1 (Efficiency Nova Scotia). The table likely addresses energy efficiency and regulatory initiatives.

Education and Outreach Education and Outreach activities included: - in-person attendance at community events, including home shows, trade shows, conventions. - E1's summer events program, where E1 had a booth or display at summer communit...

AI summary Education and Outreach activities included community events, E1's summer events with nine community engagements, radio shows, Green Schools initiatives with training, presentations, and virtual field trips, and outreach in Mi'kmaw communities through the Diverse Communities initiative. Over 28,000 students were reached via Green Schools programs in 2023.

Other Enabling Strategies Other Enabling Strategies activities included: Efficiency Preferred Partners Date Filed: April 1, 2024 Page 40 of 44

AI summary The 'Other Enabling Strategies' section lists activities including 'Efficiency Preferred Partners,' with the document dated April 1, 2024, on page 40 of 44. No further details or claims are provided in the excerpt.

6. CONCLUSION In 2023, E1 achieved 131.6 GWh of incremental annual net energy savings (109% of the mid- course adjusted target of 120.7 GWh), 27.6 MW of annual net peak demand savings (103% of the mid-course adjusted target of 26.9 MW), 2....

AI summary In 2023, E1 (Efficiency Nova Scotia) achieved 109% of its mid-course adjusted energy savings target but fell short on two targets. Despite this, E1 remains committed to meeting its 2023-2025 contractual performance targets and plans to submit mid-course adjustments by Q1 2024. Total expenditures were 85% of the mid-course adjusted budget.

Attachment 1: 2023 Rate Class Results

AI summary Attachment 1 details the 2023 Rate Class Results analyzed by the NSUARB, focusing on regulatory proceedings involving demand-side management (DSM) programs and Efficiency Nova Scotia (ENS). The document outlines key rate class outcomes and associated stakeholder inputs.

Date Filed: April 1, 2024 Page 2 of 6 5 Numbers may not sum due to rounding. Expenditure amounts are unaudited. 6 Includes energy efficiency, demand response, and Enabling Strategies investments. 4

AI summary The document provides a summary of expenditures related to energy efficiency, demand response, and Enabling Strategies, noting that numbers may not add up due to rounding and that the amounts are unaudited.

1 2023 Rate Class Results by Program - 2 Tables 2 7 provide a breakdown of 2023 net incremental energy and net peak demand savings, - 3 expenditures, and participation achieved by rate class within the energy efficiency programs.

AI summary The document presents 2023 results from energy efficiency programs, detailing net incremental energy savings, peak demand reductions, expenditures, and participation rates by rate class. Tables 2 and 7 are referenced as primary sources for quantitative breakdowns of program performance metrics.

5 Table 2: 2023 Residential Efficient Product Rebates Rate Class Results Residential Efficient Product Rebates (2023) First-Year Lifetime Peak Energy Energy Demand Expenditures Units Savings Savings Savings ($ million) Rebated (#) (GWh) (G...

AI summary Table 2 presents the 2023 Residential Efficient Product Rebates Rate Class Results, showing energy savings, expenditures, and units rebated across different rate classes. The data highlights the impact of the BNI Efficient Product Rebates program in reducing energy consumption and demand.

2020 Evaluation Consider tracking the parameters of heat pumps installed through HEA to increase the accuracy of the new heat pump peak demand savings calculation. Currently, the calculation consists of multiplying the capacity of each hea...

AI summary The text discusses improving the accuracy of heat pump peak demand savings calculations by tracking additional parameters such as heating capacity, COP at -15°C, AHRI certificate numbers, and heat pump models. It suggests isolating mini-split heat pumps from other measures to enhance precision.

DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. years. The number of years by which the first-year savings estimate is multiplied to obtain lifetime energy savings. This value takes into account variations in...

AI summary The document defines key terms related to energy efficiency program evaluation, including accuracy, effective useful life, gross and net savings, evaluation plans, and first-year savings. These definitions are used to measure and assess the performance of energy efficiency initiatives.

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

AI summary EfficiencyOne (EOne) manages a DSM program portfolio funded by Nova Scotia Power (NS Power) ratepayers. Econoler, working with multiple partners, evaluated EOne's 2023 DSM programs, confirming significant energy savings and GHG emissions reductions. The evaluation included data collection, market assessments, and participant surveys.

Table 1: 2023 Portfolio Evaluation Plan PY2023 Program Components Impact Process Market Residential DSM Program Components Appliance Retirement Condensed Instant Savings Comprehensive Home Energy Assessment Comprehensive Green Heat Condens...

AI summary Table 1 outlines the 2023 Portfolio Evaluation Plan, detailing various program components under residential and BNI DSM programs, including their impact, process, and market evaluations. The plan includes condensed and comprehensive evaluations for initiatives like Appliance Retirement, Home Energy Assessment, and Strategic Energy Management.

1.1 Impact Evaluation Objectives and Scope The impact evaluation activities were aimed at determining: - › Gross electrical energy and peak demand savings at the meter and at the generator - › Net-to-gross ratios (NTGRs), including free-ri...

AI summary The impact evaluation activities aimed to assess electrical energy and peak demand savings, net-to-gross ratios, effective useful life of program measures, and greenhouse gas emissions reductions. Two types of evaluations were conducted: comprehensive and condensed. Comprehensive evaluations were performed every three years for most program components, except for those with stable parameters or small savings contributions.

Measure Assessment The impact evaluation scope for 2023 also included an update of the Measure Assessment (MA) document. The MA was updated to include new products added to program offerings, 5 remove products that are no longer offered, 6...

AI summary The 2023 Measure Assessment (MA) document was updated to include new products, remove outdated ones, and adjust parameters for existing measures. Changes include the addition of ENERGY STAR certified dishwashers, removal of certain products, and updates to savings parameters for LED lighting, refrigerators, and freezers. The document also reflects changes in program offerings such as the inclusion of air sealing products and the rebranding of appliance replacement programs.

1.2 Process and Market Evaluation Objectives and Scope A market evaluation was completed in 2023 for mini-split heat pumps (MSHPs) under Green Heat. Market evaluation activities were aimed at achieving the following objective: › Analyze th...

AI summary A market evaluation for mini-split heat pumps under Green Heat was completed in 2023. Four process evaluations were conducted for Green Heat, Custom Retrofit, Strategic Energy Management, and Small Business Energy Solutions to analyze market evolution and program logic models.

2.1.2 Data-collection Tool Development and Sampling Strategy Data-collection tool development and sampling were carried out for Instant Savings, Home Energy Assessment, Green Heat, Small Business Energy Solutions, Custom, and Strategic Ene...

AI summary The document outlines the development of data-collection tools and sampling strategies for various energy efficiency programs, including Instant Savings, Home Energy Assessment, Green Heat, and others. The Evaluator created instruments like surveys and interview guides, informed by documentation reviews and staff interviews.

Table 3: 2023 Interviews Completed Program Component Manager1 Program / EOne Staff/Business Development Manager Service Provider/ Distributors/ Contractors Participants Dropped Out or Overdue Participants Retailers Residential Appliance Re...

AI summary Table 3 summarizes the number of interviews completed in 2023 across various program components, including managers, service providers, participants, and retailers. The table highlights the distribution of interviews by program, showing the number of interviews conducted with different stakeholders.

Unitary Savings Review For program components with unitary savings values - namely Appliance Retirement, Instant Savings, Home Energy Assessment, Green Heat, Efficient Product Installation, the Mi'kmaw Home Energy Efficiency Project, the B...

AI summary The Unitary Savings Review discusses the validation and updating of unitary savings values for various energy efficiency programs, including Appliance Retirement, Home Energy Assessment, and Business Energy Rebates, using data from metering studies, literature reviews, and participant surveys. A new measure, ENERGY STAR® certified dishwashers, was also added to the Measure Assessment.

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

AI summary This section discusses the calculation of gross savings in energy consumption from program participation, including interactive effects and peak demand savings. Interactive effects are calculated based on site-specific and provincial data, while peak demand savings are derived using established ratios and engineering calculations for residential and commercial programs.

g Optimization. 8 The projected electricity peak demand period in Nova Scotia is between 5 p.m. and 7 p.m. from December to February on non-holiday weekdays. The impact evaluation included an assessment of spillover levels for program comp...

AI summary The text discusses the evaluation of program spillover effects, focusing on how participants implemented additional energy efficiency measures beyond those funded by the program. Surveys and interviews were used to assess the influence of program components on these additional measures and to quantify the resulting savings.

Avoided GHG Emission Calculations The Evaluator estimated the avoided annual GHG emissions resulting from the evaluated electrical savings generated through all program components. Avoided GHG emissions were estimated by using a Nova Scoti...

AI summary The Evaluator calculated avoided annual GHG emissions from electrical savings generated through program components using a Nova Scotia-specific factor derived from NS Power data on total system emissions and electricity generation.

2.2 Process and Market Evaluation The process and market evaluations were conducted using a range of activities such as program component documentation as well as secondary data reviews, logic model reviews, and in-depth interviews with pr...

AI summary The process and market evaluations for Green Heat and related programs involved activities like program documentation, secondary data reviews, logic model reviews, and in-depth interviews with stakeholders and participants. The Evaluator conducted these tasks to assess the effectiveness of the programs.

Data Collection This subsection describes the data-collection activities conducted for the process and market evaluations. As discussed above, interviews were integrated to collect impact, process, and market information. - › Secondary dat...

AI summary This subsection outlines data collection methods for process and market evaluations, including the use of secondary data, in-depth interviews with stakeholders, and participant surveys. Data sources include Nova Scotia Power's emissions and generation reports, as well as a survey of Green Heat participants conducted in late 2023.

3 Impact Evaluation Results This section presents an analysis of the impact evaluation results for all program components by comparing 2023 tracked energy and peak demand savings with evaluated energy and peak demand savings. Evaluated NTG...

AI summary This section analyzes the impact evaluation results for program components by comparing tracked energy and peak demand savings in 2023 with evaluated savings. It also presents evaluated NTGRs, lifetime energy savings, and GHG emission reductions.

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

AI summary This section presents the results of individual impact evaluations for energy and peak demand savings from 2023 programs. Net savings are calculated using the net-to-gross ratio, and lifetime energy savings are based on the effective useful life of efficiency measures. Line loss factors are referenced from a 2014 study submitted to the Nova Scotia Utility and Review Board.

Table 5: Comparison of 2023 Evaluated and Tracked Energy Savings at the Generator a Tracked Results Evaluated Results DSM Program Program Component Annual Gross Savings (GWh) Annual Net Savings (GWh) Annual Gross Savings (GWh) NTGR b Annua...

AI summary Table 5 compares the evaluated and tracked energy savings for various demand-side management (DSM) programs in 2023. The table highlights the gross and net annual energy savings, net-to-gross ratios, lifetime net energy savings, and net realization rates for residential and BNI programs, showing overall energy efficiency achievements.

Table 6: Comparison of 2023 Evaluated and Tracked Peak Demand Savings at the Generator a Tracked Results Evaluated Results DSM Program Program Component Annual Gross Savings (MW) Annual Net Savings (MW) Available Capacity (MW) Annual Gross...

AI summary Table 6 presents a comparison of evaluated and tracked peak demand savings for various demand-side management (DSM) programs in 2023. It includes data on residential, BNI, and demand response programs, with metrics such as annual gross and net savings, available capacity, and net realization rates.

Instant Savings - › Instant Savings maintained a high level of participation with an increase (9%) in overall products sold in 2023 compared to 2022. - › The free-ridership level for LED lamps increased by 8% and LED fixtures increased by...

AI summary Instant Savings saw a 9% increase in product sales in 2023 compared to 2022. However, free-ridership for LED lamps and fixtures rose, while spillover for LED fixtures fell by 30%. Evaluated net energy savings were 14% lower than initial estimates, with LED lighting still contributing 54% of gross savings as the market matures.

Existing Residential In 2023, the net energy savings of Existing Residential reached 41.722 GWh while the net peak demand savings amounted to 13.042 MW at the generator. Existing Residential is comprised of Home Energy Assessment, Green He...

AI summary In 2023, the Existing Residential program achieved 41.722 GWh of net energy savings and 13.042 MW of net peak demand savings. The program includes initiatives like Home Energy Assessment, Green Heat, and the Mi'kmaw Home Energy Efficiency Project.

Efficient Product Installation - › Participation in 2023 increased by 16% and energy savings increased by 12% compared to 2022, with LED lamps, and smart thermostats for MSHPs being the most popular measures. - › The differences between ev...

AI summary Efficient Product Installation participation rose by 16% in 2023 compared to 2022, with LED lamps and smart thermostats for mini-split heat pumps being the most popular. Evaluated net peak demand savings by the Evaluator and EOne showed minimal differences.

Mi'kmaw Home Energy Efficiency Project - › With a 10% increase in average savings per participant and the highest number of participants since inception, MHEEP achieved 52% more energy savings and 92% more peak demand savings in 2023 compa...

AI summary The Mi'kmaw Home Energy Efficiency Project (MHEEP) achieved a 10% increase in average savings per participant and the highest number of participants since its inception, resulting in 52% more energy savings and 92% more peak demand savings in 2023 compared to 2022. The evaluated net energy and peak demand savings matched those tracked by EOne.

Affordable Single-family Homes - › In 2023, 242 homes receiving upgrades generated electrical savings through Affordable Single-family Homes. - › The gross and net energy and peak demand savings determined by the Evaluator were slightly hi...

AI summary In 2023, 242 homes received energy efficiency upgrades through the Affordable Single-family Homes program, generating electrical savings. The Evaluator found slightly higher energy and peak demand savings compared to initial estimates by EOne, due to revised prescriptive unitary savings values for appliance replacement measures.

New Residential New Residential is comprised of one program component: New Home Construction. - › In 2023, New Home Construction achieved net energy savings of 5.281 GWh and net peak demand savings of 1.909 MW at the generator. - › New Hom...

AI summary The New Residential program's New Home Construction component achieved energy and peak demand savings in 2023, but participation decreased by 11% compared to 2022 as projects neared completion. Evaluated savings were consistent with EOne's tracking, though net savings were slightly lower.

Efficient Product Rebates Efficient Product Rebates is comprised of one program component, Business Energy Rebates, which is further comprised of two services, namely Application Rebates and Instant Rebates. In 2023, Business Energy Rebate...

AI summary The Efficient Product Rebates program, specifically the Business Energy Rebates component, achieved significant energy and demand savings in 2023, with 38.814 GWh in net energy savings and 6.014 MW in net peak demand savings.

Custom Incentives In 2023, Custom Incentives achieved 25.127 GWh in net energy savings and 3.419 MW in net peak demand savings at the generator through its two components, namely Custom and Strategic Energy Management. Custom comprises fou...

AI summary In 2023, Custom Incentives achieved significant energy and demand savings through its programs, including Retrofit, Pay-for-Performance, New Construction, and Building Optimization. However, the Retrofit Operational Demand Reduction offer was removed during the year.

Table 8: 2023 Evaluated Net Lifetime Energy Savings at the Generator DSM Program Program Component Annual Net Energy Savings (GWh) Lifetime Net Energy Savings (GWh) Weighted Average EUL (years) Share of Annual Net Energy Savings (%) Share...

AI summary Table 8 presents the 2023 evaluated net lifetime energy savings by DSM program and component, highlighting the contribution of residential, BNI, and overall programs to annual and lifetime energy savings. The table includes energy savings metrics such as GWh, weighted average EUL, and percentage shares. Section 3.4 discusses greenhouse gas emission reductions.

Table 9: 2023 Evaluated GHG Emission Reductions DSM Program Program Component Gross Avoided GHG Emissions in CO2 eq Tonnes Net Avoided GHG Emissions in CO2 eq Tonnes Residential Efficient Appliance Retirement 1,661 937 Product Rebates Inst...

AI summary Table 9 presents evaluated GHG emission reductions from various DSM programs in 2023, showing both gross and net avoided emissions in CO2 equivalent tonnes. The table includes programs such as appliance retirement, product rebates, home energy assessments, and business energy rebates, with residential and BNI subtotals and a portfolio total.

4.1 Participant and Partner Satisfaction The 2023 evaluation revealed high participant satisfaction with EOne and its programs. Home Energy Assessment, Green Heat, Custom (regular Retrofit and Solar PV), SEM, and Small Business Energy Solu...

AI summary The 2023 evaluation showed high participant satisfaction with EOne and its programs, including Home Energy Assessment, Green Heat, and Small Business Energy Solutions. Program partners were generally satisfied, though Green Heat contractors expressed lower satisfaction with the program component.

Table 10: 2023 Satisfaction Results DSM Program Program Component Participant Satisfaction Partner Satisfaction Residential Residential Efficient Product Rebates Instant Savings - 8.8 Existing Residential Home Energy Assessment 8.3 - Green...

AI summary Table 10 presents 2023 satisfaction results for various demand-side management (DSM) programs, including participant and partner satisfaction scores for components like instant savings, home energy assessments, and strategic energy management. The data highlights varying levels of satisfaction across different program components and participant categories.

Table 13: Evaluated Net Peak Demand Savings at the Generator, 2018-2023 Peak Demand Savings (MW) Peak Demand Savings (%) DSM Program a Program Component 2019 2020 2021 2022 2023 2019 2020 2021 2022 2023 Residential Residential Efficient Ap...

AI summary Table 13 presents evaluated net peak demand savings from various demand-side management (DSM) programs in Nova Scotia from 2018 to 2023, showing the contribution of residential, BNI, and overall portfolio programs in terms of megawatts (MW) and percentages. The table highlights the effectiveness of different initiatives such as appliance retirement, home energy assessments, and business energy rebates in reducing peak demand.

CONCLUSIONS AND RECOMMENDATIONS Overall savings achieved in 2023 were above mid-course adjusted target levels, with the portfolio surpassing both its energy savings and its peak demand savings targets by 9% and 3% respectively. The Evaluat...

AI summary In 2023, energy savings and peak demand savings exceeded targets by 9% and 3%, respectively. The Evaluator did not make cross-cutting recommendations for 2023, but provided individual program component recommendations in reports and tables.

Table 14: 2023 Recommendations on Residential Program Components No. Recommendation Instant Savings – R1 Review the incented models in the LED non-A type lamps (R, BR, Decorative) category and phase out in 2024 any models that are no longe...

AI summary The document outlines 2023 recommendations for residential program components, including phasing out outdated LED lamp models, improving billing analysis methods, and enhancing marketing materials for Green Heat and Home Energy Assessment programs.

Components Bibliographic References Statistics Canada, Table 153-0145 - Households and the Environment Survey, Primary Heating System, Canada, Provinces and Census Metropolitan Areas, 2017, CANSIM, November 27, 2019 Pennsylvania Public Uti...

AI summary The text lists various bibliographic references and technical manuals related to energy efficiency and heating systems, including sources from Statistics Canada, state utility commissions, and energy efficiency programs.

Program Components Bibliographic References GDS Associates. Measure Life Report Residential and Commercial/Industrial Lighting and HVAC Measures. Prepared for the New England State Program Working Group (SPWG). June 2007 California Public...

AI summary The text lists various bibliographic references related to energy efficiency programs and technologies, including measure life reports, technical manuals, and analyses on lighting, HVAC, and heat pump systems. These references are used to support evaluations and planning in energy efficiency initiatives.

EXECUTIVE SUMMARY This report presents the 2023 demand-side management (DSM) evaluation results of the Residential Efficient Product Rebates program administered by EfficiencyOne (EOne). This program is comprised of two components: (1) App...

AI summary This report evaluates the 2023 demand-side management (DSM) results of the Residential Efficient Product Rebates program, administered by EfficiencyOne (EOne), which includes two components: Appliance Retirement (ARet) and Instant Savings.

Evaluation Approach The evaluation was aimed at calculating program component gross and net results, namely electrical firstyear and lifetime energy savings, peak demand savings, as well as avoided greenhouse gas (GHG) emissions. [Table](#...

AI summary The evaluation approach focuses on calculating program component gross and net results, including energy savings, peak demand savings, and avoided greenhouse gas emissions. Table 1 summarizes the types of evaluation and corresponding methodologies for each program component.

Table 1: Summary of 2023 Residential Efficient Product Rebates Program Evaluation Program Evaluation Type Component Impact Process Market Methodology Appliance Retirement Condensed › Tracking sheet audit › Unitary savings review › Calculat...

AI summary The 2023 Residential Efficient Product Rebates Program Evaluation includes components such as Appliance Retirement and Instant Savings Comprehensive, with evaluation methods involving tracking sheet audits, participant surveys, and avoided GHG emission calculations.

[Table](#page-70-0) 2 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 program componen...

AI summary Table 2 details participation levels, net-to-gross ratios, evaluated gross and net savings, annual GHG emission reductions, and effective useful life values for the 2023 Residential Efficient Product Rebates program.

Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit ARet Energy Savings 4,260 Appliances 3.010 GWh 0.56 1.698 GWh Lifetime Energy Savings 12.008 GWh 0.56 6.776 GWh Peak Demand Savings 0.430 MW 0.56 0.2...

AI summary The Residential Efficient Product Rebates program exceeded its 2023 energy savings and peak demand savings targets by 16% and 35%, respectively, largely due to Instant Savings being the primary contributor. The program achieved 13.174 GWh in net energy savings and 1.702 MW in net peak demand savings.

Instant Savings Findings and Recommendations This subsection presents the key findings and recommendations from the Instant Savings evaluation. 2023 Instant Savings Finding: Instant Savings achieved both of its energy savings and its peak...

AI summary The 2023 Instant Savings program achieved its energy and peak demand savings targets, with increased participation and satisfaction from retailers. However, free-ridership for LED lamps and fixtures increased, while spillover for LED fixtures decreased. Net energy savings were 14% lower than initially tracked due to updated spillover and free-ridership levels. A recommendation is made to review and phase out outdated LED Non-A type lamp models.

Program Tracked and Evaluated Savings [Table](#page-72-0) 3 below compares EOne tracked energy and peak demand savings to Evaluated savings at the generator. The realization rate and NTGR are also presented and correspond to the rounded av...

AI summary The text compares energy and peak demand savings tracked by EOne to evaluated savings at the generator, highlighting realization rates and NTGR values derived from net savings divided by gross savings. These values differ from those in other sections due to rounding.

Table 3: Comparison of 2023 Tracked and Evaluated Savings at the Generator Gross Savings Net Savings Realization Value Unit NTGR Value Unit Rate Energy Savings Tracked Savings by EOne 2.773 GWh 0.56 1.565 GWh 109% Evaluation Results 3.010...

AI summary Table 3 compares tracked and evaluated energy and peak demand savings for 2023, showing discrepancies between the two. Tracked savings by EOne are lower than evaluation results, with realization rates varying between 86% and 109%. The table highlights differences in energy and peak demand savings across different categories.

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

AI summary EfficiencyOne (EOne), a non-profit organization, manages energy efficiency programs funded by Nova Scotia Power (NS Power) ratepayers. EOne's 2023 DSM program portfolio includes the Residential Efficient Product Rebates program, which has two components: Appliance Retirement and Instant Savings. The evaluation report discusses the impact evaluation methodology, including baseline definitions, savings calculation, parameter values, and net-to-gross ratios (NTGRs).

Table 4: Types of Evaluations Conducted for Each Program Component, 2023 2023 Program Program Component Process Market Impact Residential Efficient Product Rebates ARet Condensed Instant Savings Comprehensive For each program, the Evaluato...

AI summary The text discusses the evaluation of program components under the Residential Efficient Product Rebates and Instant Savings programs in 2023, including the preparation of DSM evaluation reports that detail energy savings and GHG emissions.

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

AI summary ARet is a program led by EOne that promotes the retirement of old, inefficient household appliances in Nova Scotia. Participants receive financial incentives for retiring eligible appliances, which are then recycled by ARCA Canada Inc. The program aims to achieve significant energy savings by removing outdated appliances from homes.

Table 5: Implementation Status of Past Recommendation for ARet # Past Recommendations Status Comments 2018 ARet -R1 Continue to perform the metering activity and Not recommended for action EOne agrees with this recommendation although, due...

AI summary Table 5 outlines the implementation status of past recommendations for ARet. Recommendation R1 from 2018 ARet is not recommended for action due to facility restrictions preventing metering studies in 2022. EOne agrees with the recommendation but could not perform the study. A new methodology was developed for appliances manufactured in 2002 or later, while older appliances used 2017 data.

1.3 Participation History Since 2012, ARet has retired or replaced a total of 71,755 old and inefficient appliances from homes and schools. These were recycled so that they could not be refurbished, sold second hand, or left plugged in. In...

AI summary Since 2012, the Appliance Retirement (ARet) program has retired over 71,755 inefficient appliances. In 2023, appliance retirements were reported under Affordable Single-family Homes (ASFH) and Mi'kmaw Home Energy Efficiency Project (MHEEP), with a total of 4,260 appliances retired. Participation dropped by 19% compared to 2022, leading to a 15% decrease in energy savings and 16% decrease in peak demand savings.

2 ARet Evaluation Approach The 2023 ARet evaluation involved a condensed impact evaluation. The main objectives were as follows: › Calculate gross and net results, namely electrical first-year and lifetime energy savings, peak demand savin...

AI summary The 2023 ARet evaluation focused on calculating gross and net results, including energy savings and avoided GHG emissions. Key research questions were identified to achieve these objectives, with Table 6 outlining the evaluation objectives, research questions, and methods.

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

AI summary The text explains how net avoided GHG emissions for appliance retirement (ARet) are calculated using energy savings and a Nova Scotia-specific factor derived from NS Power data. It also references the 2020-2023 Measure Assessment, which provides parameters for evaluating energy and peak demand savings from EOne's DSM program portfolio.

3.2 Gross Savings For ARet, gross savings correspond to the change in energy consumption resulting from the retirement of energy inefficient appliances in participants' homes regardless of both why they participated and what they would hav...

AI summary The document discusses gross savings for the Appliance Retirement (ARet) program, emphasizing the change in energy consumption due to retiring inefficient appliances. Unitary savings values for freezers and refrigerators were updated in the 2023 evaluation, while other measures used values from the 2022 evaluation. Details are provided in the 2020-2023 Measure Assessment.

3.2.1 Unitary Energy Savings [Table](#page-78-4) 7 below presents the tracked and evaluated energy savings for each type of appliance retired through ARet. For both full-sized and small refrigerator and freezer retirements, higher unitary...

AI summary The section discusses unitary energy savings from appliance retirements, noting that higher savings in 2023 are due to differences in appliance age and size for full-sized and small refrigerator and freezer retirements.

Table 7: 2023 ARet Tracked and Evaluated Unitary Energy Savings Appliance Tracked Unitary Energy Savings [kWh/year] Evaluated Unitary Energy Savings [kWh/year] Difference (%) ARet – Retirement Refrigerators 622 654 5% Freezers 644 752 17%...

AI summary Table 7 presents the 2023 ARet Tracked and Evaluated Unitary Energy Savings for various appliances, showing the difference between tracked and evaluated energy savings in kWh/year and the percentage difference. The table includes appliances such as refrigerators, freezers, air conditioners, and dehumidifiers.

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

AI summary Peak demand savings refer to reductions in electricity demand during peak periods, specifically between 5 p.m. and 7 p.m. from December to February on non-holiday weekdays in Nova Scotia. Calculations are based on appliance retirements through ARet in 2023, with changes to energy savings values affecting the unitary peak demand savings.

Table 8: 2023 ARet Tracked and Evaluated Unitary Peak Demand Savings Appliance Tracked Unitary Peak Demand Savings [W] Evaluated Unitary Peak Demand Savings [W] Difference (%) ARet – Retirement Refrigerators 85.8 90.3 5% Freezers 88.9 104...

AI summary Table 8 presents 2023 ARet tracked and evaluated unitary peak demand savings for various appliances, showing differences between tracked and evaluated savings. The table highlights that savings for refrigerators, freezers, small refrigerators, and small freezers increased, while no changes were observed for air conditioners and dehumidifiers.

Table 9: 2023 ARet Equivalent EUL and Gross Lifetime Unitary Savings Values Appliance Tracked Equivalent EUL [years] Evaluated Equivalent EUL [years] Evaluated Gross Lifetime Unitary Savings [kWh] ARet – Retirement Refrigerators 4 No chang...

AI summary Table 9 outlines the 2023 ARet Equivalent EUL and Gross Lifetime Unitary Savings Values for various appliances. The Equivalent Useful Life (EUL) for most appliances remains unchanged, with savings values ranging from 492 to 3,015 kWh. Technical reference manuals from multiple regions were consulted, with only Northwest Power and Conservation Council and New York applying interactive effect factors for freezers and refrigerators.

Table 10: Evaluated 2023 ARet Gross Energy and Peak Demand Savings Measure Category Appliance Retirement Refrigerators Freezers Room Air Conditioners Small Refrigerators Small Freezers Total Number of Units Retired or Replaced 2,837 1,126...

AI summary Table 10 presents the evaluated 2023 ARet gross energy and peak demand savings from appliance retirements, including refrigerator, freezer, and room air conditioner replacements. The data highlights the number of units retired, energy savings at the meter and generator, and peak demand savings, with refrigerators contributing the largest share of first-year energy savings.

4 ARet Key Findings and Recommendations The 2023 ARet evaluation included a condensed impact evaluation and its main objectives were as follows: › Calculate gross and net ARet results, namely electrical first-year and lifetime energy savin...

AI summary The 2023 ARet evaluation found that the program fell short of its energy savings and peak demand targets by 16% and 13%, respectively. Participation levels were the lowest since 2012, with refrigerator and freezer retirements remaining the main drivers of savings. Evaluated net savings were 9% higher than those tracked by EOne due to updated unitary savings from appliance retirements.

5.1 Instant Savings Description Instant Savings offers instant cash rebates to consumers who purchase eligible energy-efficient products. Instant Savings is delivered with the help of one Delivery Agent (DA), Summerhill Group Inc., as well...

AI summary Instant Savings provides instant cash rebates for energy-efficient products in Nova Scotia, managed by a Delivery Agent and retailers. New products added in 2023 include ENERGY STAR certified dishwashers and bathroom fans. Rebates are offered in seasonal and year-round campaigns.

Table 16: List of 2023 Rebates by Product Products Offered During Campaigns Rebate During Spring Campaign Rebate During Fall Campaign ENERGY STAR Certified LED Non-A-type Lamps (single & multipacks) $9/unit or up to 65% off package price $...

AI summary Table 16 outlines the 2023 rebates by product offered during spring and fall campaigns, as well as year-round rebates. It includes details on various energy-efficient products such as LED lamps, thermostats, motion sensors, and appliances, with varying rebate amounts and conditions.

5.3 Participation History In 2023, a total of 217,125 eligible products were sold in participating stores across Nova Scotia, which represents an increase of 9% compared to 2022, and an increase of 8% compared to 2021. As presented in [Tab...

AI summary In 2023, sales of energy-efficient products in Nova Scotia increased by 9% compared to 2022, with notable growth in ENERGY STAR certified LED lamps and appliances, although some categories like solar fixtures and control products saw declines.

6 Instant Savings Evaluation Approach The 2023 Instant Savings evaluation included a comprehensive impact evaluation whereby NTGRs and market effects were updated respectively through a participant online survey and retailer interviews. Th...

AI summary The 2023 Instant Savings evaluation aimed to collect participant and partner perspectives and calculate gross and net savings, including energy and GHG emissions. Research questions, methods, and sample sizes were outlined in a table.

Table 18: 2023 Instant Savings Evaluation Approach Evaluation Objective Research Question Methodology Collect information on participant and partner perspectives › What is the awareness level about Instant Savings and how did participants...

AI summary This section outlines the 2023 Instant Savings Evaluation Approach, detailing how participant and partner perspectives are collected, how gross and net results are calculated, and the methods used, such as online surveys and tracking sheet audits.

7.1 Participant Perspectives An online survey was conducted as part of the Instant Savings evaluation. A total of 122 surveys were completed with LED bulb or fixture purchasers during the 2023 fall campaign. A distinction was made between...

AI summary An online survey conducted as part of the Instant Savings evaluation found that 65% of LED bulb and fixture purchasers were aware of the program, with in-store promotions being the main source of awareness. The average number of LED bulbs purchased per person was 4.5, lower than in 2022, and many participants had previously benefited from ENS programs, which influenced their purchase decisions.

7.2.1 Satisfaction with Instant Savings Retailers are generally satisfied with Instant Savings overall, with an average satisfaction score of 8.8 on a scale where 0 means "not at all satisfied" and 10 means "completely satisfied". Two reta...

AI summary Retailers are generally satisfied with the Instant Savings program, citing positive interactions with Summerhill and EOne, program effectiveness in driving sales and consumer knowledge, and straightforward processes. Some dissatisfaction was noted regarding the inability to offer rebates to contractors and inconsistent store signage. Program delivery representatives received high satisfaction scores for their responsiveness and knowledge, though frequent changes in representatives posed challenges.

8.2 Gross Savings For Instant Savings, gross savings correspond to the change in energy consumption resulting from eligible energy efficient products being purchased by participants regardless of why they participated. 21

AI summary Gross savings for Instant Savings are defined as the change in energy consumption due to eligible energy-efficient products purchased by participants, regardless of their participation reasons.

8.2.2 Unitary Energy Savings For ENERGY STAR certified LED lamps and fixtures, the unitary savings values were updated to include the wattage values of the most popular products sold in 2023. It should be noted that for R, BR, and decorati...

AI summary The document discusses updates to unitary energy savings values for ENERGY STAR certified LED lamps and fixtures, including adjustments based on market availability and regulations. It also introduces unitary savings values for ENERGY STAR certified dishwashers. The Evaluator recommends reviewing certain lamp models for potential phase-out in 2024 due to market conditions.

Table 20: 2023 Instant Savings Tracked and Evaluated Unitary Energy Savings Product Tracked Savings [kWh/year] Evaluated Savings [kWh/year] ENERGY STAR Certified LED Non-A-type Lamps (R, BR, and Decorative) 47.1 49.2 ENERGY STAR Certified...

AI summary Table 20 presents the tracked and evaluated energy savings for various products under the 2023 Instant Savings program. The data highlights the energy efficiency of different products, with some showing significant savings. EOne identified smart devices in the tracking sheet, noting that ENERGY STAR LED lights and fixtures are the majority of smart products sold.

Table 21: 2023 Instant Savings Tracked and Evaluated Unitary Peak Demand Savings Product Tracked Savings [W/year] Evaluated Savings [W/year] ENERGY STAR Certified LED Non-A-type Lamps (R, BR, and Decorative) 7.63 7.97 ENERGY STAR Certified...

AI summary Table 21 presents the 2023 Instant Savings Tracked and Evaluated Unitary Peak Demand Savings for various energy-efficient products. The data compares tracked savings with evaluated savings, showing discrepancies in some cases, such as for dimmer switches and motion sensors where evaluated savings show no change.

Lighting Products and Controls The weighted interactive effects factors for lighting products were established as part of the 2020–2023 Measure Assessment activities and considered the various types of space heating and cooling found in No...

AI summary The weighted interactive effects factors for lighting products, specifically LED products, were established as part of the 2020–2023 Measure Assessment activities, taking into account the different types of space heating and cooling in Nova Scotia homes.

Table 22: 2023 Instant Savings Interactive Effects Factors for Lighting Products Product Category - LED Lamps, Fixtures, and Other Indoor Devices Weighted Energy Interactive Effects Factor Weighted Peak Demand Interactive Effects Factor In...

AI summary Table 22 provides the 2023 Instant Savings Interactive Effects Factors for various lighting products, including LED lamps, fixtures, and motion sensors. The table shows the weighted energy and peak demand interactive effects factors for indoor and outdoor use, highlighting the impact of energy efficiency measures on demand and energy consumption.

8.2.5 Effective Useful Life The Evaluator validated the EUL values based on the 2020–2023 Measure Assessment. The EUL values are used in the calculation of electrical energy savings that are expected to persist over time. The baseline for...

AI summary The Evaluator validated Equivalent Useful Life (EUL) values based on the 2020–2023 Measure Assessment, which are used in calculating electrical energy savings over time. The baseline for LED lamps was updated in 2022 to reflect the shift away from compact fluorescent lamps, with EUL values applied to calculate gross and net lifetime energy savings.

Table 23: 2023 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 Non-A-...

AI summary Table 23 presents the 2023 Instant Savings Equivalent EUL and Gross Lifetime Unitary Savings Values for various energy-efficient products. The table includes data on products such as LED lamps, motion sensors, thermostats, and water heaters, highlighting their energy savings potential.

Table 24: Evaluated 2023 Instant Savings Gross Energy and Peak Demand Savings Product Category LED Non- Lamp LED Recessed Downlight LED EN ERGY STAR Fixtures Fixtures Dimmer Outdoor R, BR, and Decorative Others Fixtures Without Motion Sens...

AI summary Table 24 presents evaluated 2023 Instant Savings Gross Energy and Peak Demand Savings across various product categories, including LED lamps, fixtures, and outdoor devices. It details energy savings values, interactive effects factors, and lifetime energy savings at the generator level.

Evaluated 2023 Instant Savings Gross Energy and Peak Demand Savings (Continued) Product Category Efficient Clothes Dryers Efficient Combined Washers/Dryers Room Air Purifiers Dehumidifiers Pool Pumps Heat Pump Water Heaters High Efficiency...

AI summary The document presents data on energy and peak demand savings from various efficient products in Nova Scotia, including the number of units installed, energy savings values, and lifetime energy savings. It includes metrics such as unitary energy savings, gross energy savings at the meter and generator, and effective useful life for each product category.

[Figure](#page-108-0) 8 and [Figure](#page-109-0) 9 below compare the tracked unitary electrical energy and peak demand savings to the evaluated gross savings. Both sets of savings values include adjustments to account for interactive effe...

AI summary The text discusses comparisons between tracked unitary electrical energy and peak demand savings and evaluated gross savings, highlighting the impact of LED fixture revisions. It also mentions the calculation of GHG emissions reductions using a Nova Scotia-specific factor applied to Instant Savings gross savings.

Table 25: Evaluated 2023 Instant Savings Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 15.512 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annua...

AI summary Table 25 presents the evaluated 2023 Instant Savings Gross GHG Emission Reductions, showing gross energy savings, the Nova Scotia-specific GHG emissions factor, and the resulting annual GHG emission reductions in tonnes of CO2 eq.

Throughout the year, sales of eligible products may have occurred due to the influence of Instant Savings even if no discount was offered. This influence is due to better knowledge and awareness about energy-efficient products and changes...

AI summary The text discusses the market effects of the Instant Savings program on the sales of non-A-type LED lamps and fixtures, estimating a 9% spillover effect. This effect is attributed to increased awareness and retailer offerings, even without direct discounts. The methodology and data collection from retailers are outlined, with results consistent with previous estimates from 2021.

is equivalent to 9% of 2023 rebated LED non-A-type sales. This result represents no change from the market effects level last estimated in 2021 for LED non-A-type sales (also 9%). Instant Savings 40 A market effects level of 2% was measure...

AI summary The document discusses market effects levels for LED non-A-type sales and LED fixtures under the Instant Savings program. The market effects level for LED non-A-type sales remained at 9% in 2023, the same as in 2021. For LED fixtures, the market effects level dropped from 32% in 2021 to 2% in 2023, primarily due to a large retailer reporting fewer non-rebated sales.

Table 30: 2023 Instant Savings Spillover Levels Product Category Spillover Level LED Lamps 9% LED Fixtures 2% All Other Products - 8.3.3 Net-to-Gross Ratio Calculations

AI summary Table 30 outlines the 2023 Instant Savings Spillover Levels for various product categories, including LED Lamps and LED Fixtures. Section 8.3.3 discusses Net-to-Gross Ratio Calculations, which are relevant to energy efficiency programs and cost recovery mechanisms.

Table 32: Evaluated 2023 Instant Savings Net Energy and Peak Demand Savings LED Non-A-T ype Lamps LED Recessed LED ENI ERGY STAR Fixture s D: Indoor Outdoor Product Category R, BR, and Decorative Others Downlight Fixtures Without Motion Se...

AI summary The document presents evaluated 2023 instant savings net energy and peak demand savings for various product categories, including LED lamps, smart thermostats, and energy-efficient appliances. The tables include gross and net energy savings, line loss factors, and effective useful life, providing a detailed analysis of energy efficiency measures.

Evaluated 2023 Instant Savings Net Energy and Peak Demand Savings (Continued) Product Category Efficient Clothes Dryers Efficient Combined Washers/Dryers Room Air Purifiers Dehumidifiers Pool Pumps Heat Pump Water Heaters High Efficiency D...

AI summary The 2023 Instant Savings program exceeded its energy and peak demand savings targets by 23% and 49%, respectively, as detailed in a table showing energy and peak demand savings across various product categories and a reference to Figure 10.

8.4 Realization Rate [Table](#page-118-2) 33 compares the energy and peak demand savings established through this evaluation to those tracked by EOne. It also includes the realization rate, representing the ratio of evaluated net savings t...

AI summary This section discusses the realization rate, comparing evaluated net savings to tracked net savings for energy and peak demand savings in 2023, as tracked by EOne and evaluated through the proceeding.

9 Instant Savings Key Findings and Recommendations As mentioned previously, the main objectives of the 2023 Instant Savings evaluation were as follows: - › Collect information on participant and partner perspectives. - › Calculate gross an...

AI summary The 2023 Instant Savings program exceeded its energy and peak demand savings targets, with 11.476 GWh and 1.459 MW achieved, respectively. Participation increased by 9%, with notable growth in controls and appliance sales. LED lighting remained the primary source of savings, but non-LED replacements are becoming less available. Free-ridership levels for LED lamps and fixtures also increased.

2023 Instant Savings Finding: The spillover level for LED fixtures decreased significantly in 2023. Market effects were established at 2%, compared to 32% established when last measured in 2021. The market effects in 2021 were largely driv...

AI summary In 2023, the spillover level for LED fixtures significantly decreased compared to 2021, primarily due to a major retailer's reduced sales outside of campaign periods. Additionally, the evaluated net energy and peak demand savings were 14% lower than initially tracked by EOne, attributed to lower NTGR established for LED lamps and fixtures in 2023.

CONCLUSION [Table](#page-121-1) 34 presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well effective useful life (EUL) values for each Residential Efficient Produc...

AI summary Table 34 summarizes participation levels, NTGRs, evaluated gross and net savings, annual GHG emission reductions, and effective useful life (EUL) values for the 2023 Residential Efficient Product Rebates program, both by component and overall.

Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit ARet Energy Savings 4,260 Appliances 3.010 GWh 0.56 1.698 GWh Lifetime Energy Savings 12.008 GWh 0.56 6.776 GWh Peak Demand Savings 0.430 MW 0.56 0.2...

AI summary The Residential Efficient Product Rebates program exceeded its 2023 targets for net electrical energy and peak demand savings by 16% and 35%, respectively. Instant Savings was the primary contributor to these achievements. The table details energy savings, peak demand savings, GHG emission reductions, and equivalent useful life across different program components.

This appendix presents the ARet free-ridership and secondary market impacts algorithm. Algorithm – Appliance Retirement Section 1 – Would have kept or discarded the unit without the program F1. Had you already planned to dispose of this [a...

AI summary This appendix outlines an algorithm to assess free-ridership and secondary market impacts related to appliance retirement programs. It includes a survey-based approach to determine whether participants would have disposed of appliances without the program and how they would have done so.

Net energy savings calculation without spillover (for each appliance) 2 d Have Disca Scena Acquir Id-Be er Finds ernative inds Alternative Type Alternative Type Overall Proportion Final Energy C Net Unitary Savings U nit ocen ai 10 nit Fro...

AI summary The document presents a table illustrating net energy savings calculations for appliance retirements, specifically focusing on refrigerator retirements in 2022. The table includes data on energy savings with and without spillover effects and a formula for calculating free-ridership.

A. Identification and Screening of Respondent Thank you for taking the time to answer the following short survey about energy efficiency. We are gathering information from customers who purchased certain energy-efficient LED bulbs or LED f...

AI summary This section of the document presents a survey aimed at customers who purchased energy-efficient LED bulbs or fixtures within a specified timeframe. The survey collects information on where the products were purchased and their SKU numbers to facilitate further analysis.

B6. [ASK IF B5=1] Do you plan on installing this LED bulb… [ALLOW ONLY ONE CODE] 1. To replace an LED bulb once it burns out 2. To replace an LED bulb that is still working 96. Other [SPECIFY:] B7. [ASK IF B5=2] Do you plan on installing t...

AI summary The text presents a series of questions related to the installation and replacement of LED bulbs, including scenarios such as replacing bulbs once they burn out or replacing bulbs that are still working. It also includes a section on awareness of programs and Efficiency Nova Scotia regarding LED bulbs.

[ASK THE FOLLOWING QUESTIONS IF AWARE OF THE DISCOUNT [(D1=](#page-137-2)1) OR [(D2=](#page-137-1)1), OTHERWISE SKIP TO SECTION [H]](#page-145-0) - D3. Before the beginning of the rebate campaign on September 29th, were you aware that disc...

AI summary The text presents a series of questions related to consumer behavior regarding LED bulb purchases, including awareness of discounts, purchase timing, and alternative bulb choices if discounts were not available.

- 96. Other [SPECIFY:__________________] LED Bulb CFL Bulb Halogen Bulb Incandescent Bulb Efficient Incandescent Bulb Typically have wattages of 40 W, 60 W or 100 W Typically have wattages of 29 W, 43 W or 72 W

AI summary The text includes a table comparing different types of light bulbs, focusing on their wattages, and an image reference. It appears to be part of a discussion on energy efficiency or appliance standards, possibly related to the Appliance Retirement program.

F. Awareness of Program and Efficiency Nova Scotia – LED Fixtures - F1. Have you ever heard of the Efficiency Nova Scotia program that offers instant savings at the cash register for the purchase of energy-efficient lighting, controls or a...

AI summary This section of the document asks respondents whether they are aware of the Efficiency Nova Scotia program that provides instant savings on energy-efficient lighting, controls, or appliances, and how they learned about the program. It also inquires whether they saw promotional signs for LED fixtures in the store.

- 96. Other, SPECIFY: ______________________ Incandescent Bulb Halogen Bulb CFL Bulb G6. How likely would you have been to buy the LED fixtures that you purchased if you had to pay the full price? Please answer on a scale of 0 to 10, with...

AI summary The text includes a question about the likelihood of purchasing LED fixtures at full price and another about when the purchase would have occurred without a discount. These questions are part of a survey or assessment related to customer behavior and energy efficiency programs.

H. Cross-Influence ROTATE [(H1+](#page-145-1) [H2-](#page-145-2)[H3)](#page-145-3) AND [(H4](#page-146-0) + [H5-](#page-146-1)[H6)](#page-146-2) SEQUENCES; SHOW [H1](#page-145-1) TO [H3](#page-145-3) ON SAME SCREEN AND H4 TO [H6](#page-146...

AI summary This section explores the cross-influence of Efficiency Nova Scotia programs and promotional materials on consumer decisions regarding LED lighting purchases. It asks respondents about prior participation in programs and exposure to promotional materials, and whether these influenced their purchasing decisions.

Base: Respondents who purchased LED bulbs only

AI summary The text refers to respondents who purchased LED bulbs only, indicating a focus on specific customer actions or participation in a program related to energy efficiency.

B11. Why do you plan on replacing LED bulbs that are still working? 2023 2022 2021 Sample Size 5 (#) 5(#) 8(#) Dislike lighting of these bulbs 2 3 7 Want bulbs to match 1 0 0 Bulbs burn too fast 0 0 1 Other 2 3 0 Base: Respondents who purc...

AI summary The table provides data on the reasons respondents gave for replacing LED bulbs that are still working, with responses collected in 2023, 2022, and 2021. The main reasons include disliking the lighting, wanting bulbs to match, and bulbs burning too fast.

C1/F1. Have you ever heard of the Efficiency Nova Scotia program that offers instant savings at the cash register for the purchase of energy-efficient lighting, controls or appliances? 2023 2022 2021 Sample Size 122 177 120 Yes 65% 65% 58%...

AI summary The Efficiency Nova Scotia program offers instant savings at the cash register for energy-efficient purchases. Awareness of the program has remained relatively stable between 2021 and 2023, with around 65% of respondents being aware. In-store promotions and store personnel are the primary sources of awareness, followed by in-store engagement events and the Efficiency Nova Scotia website.

D3. Before the beginning of the rebate campaign on September 29th, were you aware that discounts on LED bulbs would be offered this fall? 2023 2022 2021 Sample Size 40 33 35 Yes 13% 24% 6% No 88% 76% 94% Base: Respondents who purchased non...

AI summary The question asks whether respondents were aware of LED bulb discounts before the rebate campaign started on September 29th. The table shows that awareness was low in all years, with 13% in 2023, 24% in 2022, and 6% in 2021.

D5. If the discount on LEDs had NOT been offered, what would you have bought? Would you have… 2023 2022 2021 Sample Size 40 33 35 Bought LEDs anyway 60% 45% 89% Bought another type of bulb 23% 6% 3% Not bought any bulbs 18% 48% 9% Base: Re...

AI summary The data shows that a significant percentage of respondents would have purchased LED bulbs even without the discount, with 60% in 2023, 45% in 2022, and 89% in 2021. A smaller percentage would have opted for other types of bulbs, while a notable portion would not have purchased any bulbs at all.

Likelihood of Buying LEDs without Rebate 2023 2022 2021 Sample Size 40 33 35 MEAN 5.5 4.9 7.3 Base: Respondents who purchased non-A-type LED bulbs that were aware of discount prior to purchase

AI summary The table shows the likelihood of purchasing LEDs without rebates in 2021, 2022, and 2023, with sample sizes and mean values provided. The data is based on respondents who purchased non-A-type LED bulbs and were aware of discounts prior to purchase.

D8. If the discount had NOT been offered, when would you have purchased the LED bulbs that you did? 2023 2022 2021 40 33 35 0% 0% 0% 23% 21% 60% 28% 9% 20% 23% 33% 11% 10% 24% 6% 18% 12% 3% Base: Respondents who purchased non-A-type LED bu...

AI summary The question asks when respondents would have purchased LED bulbs if a discount had not been offered. The table provides data from 2021 to 2023, showing percentages of respondents who purchased LED bulbs under different conditions, with base defined as those who purchased non-A-type LED bulbs and were aware of the discount before purchase.

D9. Without the discount, would you have definitely purchased the same number of LED bulbs, probably purchased the same number, probably purchased fewer or definitely purchased fewer? 2023 2022 2021 Sample Size 29 29 32 Definitely the same...

AI summary The table shows survey responses about how the discount on LED bulbs influenced purchasing behavior. Most respondents indicated they would have purchased the same number of bulbs without the discount, but a significant portion also indicated they would have purchased fewer.

E4. Are there any LED fixtures currently installed in your home (other than those you just bought)? 2023 2022 2021 41 128 53 80% 84% 77% 15% 14% 17% 5% 2% 6% E5. Will the LED fixture(s) you bought be installed indoor or outdoor? 2023 2022...

AI summary The text presents data on the number and percentage of LED fixtures installed in homes in Nova Scotia across the years 2021, 2022, and 2023, as well as the intended installation locations (indoor, outdoor, or both) for recently purchased LED fixtures.

- E7. You bought [INSERT NUMBER FROM E1] LED fixtures. How many, if any, of these [INSERT NUMBER FROM E1] LED fixtures will be installed… 2021 41 128 53 58% 72% 45% 8% 5% 7% 34% 18% 49% 0% 1% 0% 2023 2022 Base: Respondents who purchased LE...

AI summary The text asks how many of the purchased LED fixtures will be installed, with a table showing data from 2021, 2022, and 2023, including percentages and numbers related to installation rates.

- G2. [DO NOT ASK IF 'YES' IN G1] To confirm, you did not know about the discount on specific LED fixtures before paying at the register? 128 53 71% 43% 66% 57% 34% - - 27% 2% G3. Thinking about your purchase of LED fixtures, what best des...

AI summary The text discusses customer awareness and purchasing behavior related to LED fixtures, highlighting that a majority of respondents were unaware of discounts offered by Efficiency Nova Scotia before making purchases. It includes survey data from different years showing changes in customer behavior.

G4. If the discount on LED fixtures had NOT been offered, what would you have bought? Would you have… 2023 2022 2021 Sample Size 30 55 35 Bought LED fixtures anyway 50% 38% 57% Bought another type of fixture without LEDs 13% 7% 11% Not bou...

AI summary The table shows the percentage of respondents who would have purchased LED fixtures, another type of fixture, or no fixtures at all if the discount had not been offered, across three years: 2021, 2022, and 2023. The data indicates a majority of respondents would have still purchased LED fixtures even without the discount.

Likehood of Buying LEDs without Discount 2023 2022 2021 Sample Size 30 55 35 MEAN 6.2 5.7 6.2 Base: Respondents who purchased LED fixtures who were aware of discount prior to purchase Don't know/refused excluded from calculations

AI summary The table presents the likelihood of purchasing LEDs without a discount in 2023, 2022, and 2021, with sample sizes and mean values provided. The data is based on respondents who purchased LED fixtures and were aware of discounts prior to purchase, excluding those who did not know or refused to answer.

G7. If the discount had NOT been offered, when would you have purchased the LED fixtures that you did? 2023 2022 2021 Sample Size 30 55 35 Earlier 2% - - Definitely on the same day 20% 11% 20% Probably on the same day 17% 16% 14% Probably...

AI summary The table presents survey data on when respondents would have purchased LED fixtures if a discount had not been offered, showing varying responses across years 2021, 2022, and 2023. A majority of respondents indicated they would have purchased the fixtures on the same day or later, while a smaller portion would not have purchased them at all.

G8. Without the discount, would you have definitely purchased the same number of LED fixtures, probably purchased the same number, probably purchased fewer or definitely purchased fewer? 2023 2022 2021 Sample Size 17 24 20 Definitely the s...

AI summary The table shows customer responses to whether they would have purchased the same number of LED fixtures without a discount. The majority of respondents indicated they would have probably purchased the same number or definitely purchased fewer LED fixtures without the discount, with responses varying slightly across the years 2021 to 2023.

H1. Before your recent purchase, had you at any time in the past benefitted from a discount on energy efficient products or participated in other programs offered by Efficiency Nova Scotia? 2023 2022 2021 Sample Size 122 176 118 Yes 50% 57...

AI summary The question asks if respondents had previously benefited from discounts on energy-efficient products or participated in Efficiency Nova Scotia programs. The table shows participation rates in 2021, 2022, and 2023, with a sample size and percentage of respondents who answered 'yes' or 'no'.

H2. Your previous experience with Efficiency Nova Scotia programs was a major factor in your decision to purchase [LED BULBS/FIXTURES]. 2023 2022 2021 Sample Size 61 100 66 Agree 66% 65% 70% Disagree 34% 35% 30% Base: Respondents who benef...

AI summary A survey indicates that 66% of respondents who previously participated in Efficiency Nova Scotia (ENS) programs agreed that their experience influenced their decision to purchase LED bulbs or fixtures, with slight variations across the years 2021 to 2023.

H3. Because of your previous experience with Efficiency Nova Scotia programs, you took into account the savings on your energy bill when choosing different lighting options for your home. 2023 2022 2021 Sample Size 61 100 66 Agree 82% 83%...

AI summary The text discusses a survey result showing that a majority of respondents who benefited from Efficiency Nova Scotia (ENS) programs agreed that their experience influenced their choice of energy-efficient lighting options for their homes.

H4. Before your recent purchase, had you at any time in the past already seen Efficiency Nova Scotia promotional materials advertising the benefits of LED lighting? 2023 2022 2021 Sample Size 122 177 120 Yes 64% 67% 65% No 22% 24% 24% Don'...

AI summary The question asks whether respondents had previously seen Efficiency Nova Scotia promotional materials advertising LED lighting benefits before their recent purchase. The table provides response percentages across three years, showing a slight decline in 'Yes' responses from 2022 to 2023.

H5. The Efficiency Nova Scotia promotional materials you saw were a major factor in your decision to purchase [LED BULBS/FIXTURES]. 2023 2022 2021 Sample Size 78 118 78 Agree 64% 64% 62% Disagree 36% 36% 38% H6. The Efficiency Nova Scotia...

AI summary The Efficiency Nova Scotia promotional materials significantly influenced respondents' decisions to purchase LED bulbs or fixtures and prompted them to consider energy bill savings when selecting lighting options. The data shows consistent agreement across 2021, 2022, and 2023, with slight variations in percentages.

Table 1: Overview of Data Collection Activity Descriptor This Instrument Instrument Type Interview guide Estimated Time to Complete 25 min Target Audience Head office retailers Expected Number of Completions 8 Contact List Source EOne Fiel...

AI summary The document outlines data collection activities involving an interview guide targeting head office retailers, with a focus on research objectives related to LED bulbs and the Instant Savings program. The fielding firm is Narrative Research, and the timeline is November to December.

OPTION A [ASK IF TOTAL SALES = NO AND IF REBATE ELIGIBLE TOTAL SALES = YES] According to data you provided to Efficiency Nova Scotia through Summerhill, during the spring campaign, you sold [ REBATE ELIGIBLE TOTAL SALES - PACKAGES] Non A-t...

AI summary The document outlines a series of questions directed at a respondent regarding the expected sales of Non A-type LED bulbs eligible for an Instant Savings rebate during the fall and spring campaigns. It asks about anticipated sales volume, percentage changes compared to the spring campaign, and the proportion of total Non A-type LED bulb sales in 2023.

[ASK THIS SECTION IF NON A-TYPE LED BULB RETAILER] - C1. Efficiency Nova Scotia has promoted LED lighting and offered rebates through retailers on LED bulbs for a number of years. I would like to understand how your participation in the In...

AI summary The text includes survey questions for retailers regarding their participation in the Instant Savings program and its impact on staff and consumer knowledge, product offerings, and sales of Non A-type LED bulbs. It also asks about the influence of Efficiency Nova Scotia's programs on sales outside of rebate periods.

OPTION A [ASK IF TOTAL SALES = NO AND IF REBATE ELIGIBLE TOTAL SALES = YES] According to data you provided to Efficiency Nova Scotia, you sold [REBATE ELIGIBLE TOTAL SALES - PACKAGES] rebate eligible packages of LED fixtures in Nova Scotia...

AI summary The text outlines a series of questions posed to a respondent regarding their sales of rebate-eligible LED fixtures in Nova Scotia during the first half of 2023 and their expectations for the second half of the year. It also asks about the proportion of total LED fixture sales expected in 2023.

[ASK THIS SECTION IF LED FIXTURES RETAILER] - E1. Efficiency Nova Scotia has promoted LED lighting and offered rebates through retailers on LED fixtures for a number of years. I would like to understand how your participation in the Instan...

AI summary The document asks a LED fixtures retailer about the impact of Efficiency Nova Scotia's Instant Savings program on staff and consumer knowledge, product variety, and sales of LED fixtures. It also seeks to determine the extent to which Efficiency Nova Scotia's programs influence sales outside of rebate periods.

[ASK TO ALL] - F1. On a scale of 0 to 10, where 0 is "not at all satisfied" and 10 is "completely satisfied" how satisfied are you overall with the Instant Savings program operated by Efficiency Nova Scotia. ___ - a. Please explain the rea...

AI summary The text contains survey questions aimed at assessing customer satisfaction with the Instant Savings program operated by Efficiency Nova Scotia and interactions with program delivery representatives from Summerhill. It also includes follow-up questions if participants express dissatisfaction.

Table 1: 2023 Instant Savings Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Value Unit Value Unit Value Instant Savings Gross Energy Savings at the Generator 15.346 GWh 15.409 GWh 0.41% G...

AI summary Table 1 presents corrected tracked savings for the 2023 Instant Savings program, showing minor adjustments due to corrections in product type, measure codes, and the net savings formula. These changes had a positive and minor negative impact on gross and net energy and peak demand savings.

Algorithm – LED Bulbs Total Non-A Type Sales Non-A type LED bulbs sold from January – December 2023 (extrapolated #LEDJan-Dec from retailer data if available and responses in interview) LED Sales During Instant Savings' Campaigns LED Bulb...

AI summary The text outlines algorithms for calculating the market effects of LED bulb and fixture sales influenced by Efficiency Nova Scotia's programs, using data from retailer sales and campaign tracking sheets. It includes variables such as total sales, sales during campaigns, and the proportion influenced by programs.

Evaluation Approach The 2023 Existing Residential evaluation was aimed at calculating program component gross and net results, namely electrical first-year and lifetime energy savings, peak demand savings, as well as avoided greenhouse gas...

AI summary The 2023 Existing Residential evaluation aimed to calculate program component gross and net results, including electrical first-year and lifetime energy savings, peak demand savings, and avoided greenhouse gas emissions. Table 1 summarizes the evaluation types and methodologies for each program component.

Table 1: Summary of 2023 Existing Residential Program Evaluation Program Evaluation Type Methodology Component Impact Process Market HEA Comprehensive › Participant survey › Tracking sheet audit › Billing analysis › Solar photovoltaic (PV)...

AI summary Table 1 provides a summary of the 2023 evaluation of existing residential programs, including methodologies such as participant surveys, tracking sheet audits, and avoided GHG emission calculations. Programs like HEA, Green Heat, EPI, MHEEP, AMH, and ASFH are evaluated for their impact and process effectiveness.

HEA Findings and Recommendations 2023 HEA Finding: Both HEA net electrical energy and demand savings exceeded targets. 2023 HEA Finding: The significant increase in participation and average gross savings per home observed since the introd...

AI summary The 2023 HEA findings show that energy and demand savings exceeded targets, with increased participation and savings per home since the introduction of the Canada Greener Homes Grant. The HEA is well-received, and the evaluation found higher savings due to lower free-ridership. Billing analysis results were inconclusive, and the ORs from 2018 will not be used beyond 2023. A new evaluation approach for 2024 is recommended.

Green Heat Findings and Recommendations This subsection presents the key findings from the Green Heat evaluation. 2023 Green Heat-Finding: Green Heat fell short of its net savings targets in 2023, achieving 80% of its net energy savings ta...

AI summary The 2023 Green Heat evaluation found that the program underperformed its energy and peak demand savings targets, with participation declining by 11% compared to 2022. Mini-split heat pumps saw a 22% drop in participation, while the Canada Greener Homes Grant and HEA programs gained traction due to higher incentives. Customer and contractor satisfaction with Green Heat is low, citing issues with rebates, marketing, and program communication.

EPI Findings and Recommendations This subsection presents the key findings from the EPI evaluation. The Evaluator has no specific recommendation for EPI. 2023 EPI Finding: With 9.357 GWh in net electrical energy savings and 0.920 MW in net...

AI summary The EPI evaluation for 2023 showed that energy and peak demand savings exceeded targets by 13% and 21%, respectively. Participation increased by 16%, leading to higher savings. LED lamps and smart thermostats for mini-split heat pumps were popular measures. Net savings tracked by EOne were consistent with the evaluator's findings.

MHEEP Findings and Recommendations This subsection presents the key findings from the MHEEP evaluation. The Evaluator has no specific recommendation for MHEEP. 2023 MHEEP-Finding: In 2023, MHEEP net electrical energy and peak demand saving...

AI summary The MHEEP program achieved 0.577 GWh in net electrical energy savings and 0.373 MW in peak demand savings in 2023, slightly missing its energy savings target but exceeding its peak demand target. Energy savings and peak demand savings increased by 52% and 92% respectively compared to 2022. The savings tracked by the Evaluator were nearly identical to those tracked by EOne.

EfficiencyOne (EOne), an independent, non-profit organization, is responsible for helping Nova Scotians improve the energy efficiency of their homes and workplaces by designing, marketing, and delivering demand-side management (DSM) for No...

AI summary EfficiencyOne (EOne) is an independent non-profit organization that delivers demand-side management (DSM) programs through the Efficiency Nova Scotia (ENS) franchise. EOne's 2023 DSM program portfolio includes residential and BNI programs, with an evaluation report focusing on the Existing Residential program and its components. The evaluation involves reviewing baseline definitions, savings calculation methodologies, and net-to-gross ratios (NTGRs).

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

AI summary The Home Energy Assessment (HEA) program provides homeowners with evaluations and rebates to improve energy efficiency. It collaborates with Natural Resources Canada and includes a CGH Grant for retrofits. The program has seen changes in assessment fees, eligibility, and eligible measures, with some incentives now solely funded by the CGH Grant.

1.2 Follow-up on Past Evaluation Report Recommendations The Evaluator evaluated HEA in previous years and issued improvement recommendations. [Table](#page-3-0) 5 below provides a summary of the implementation status of past recommendation...

AI summary The Evaluator has previously assessed the Home Energy Assessment (HEA) and provided improvement recommendations. Table 5 outlines the current status of these recommendations, noting that all remaining ones are currently in progress.

Table 5: Implementation Status of Past Recommendations for HEA # Past Recommendations Status Comments 2020 HEA-R2 Consider tracking the parameters of heat pumps installed through HEA to increase the accuracy of the new heat pump peak deman...

AI summary The document outlines the implementation status of past recommendations related to the Home Energy Assessment (HEA). In 2021, EOne updated heat pump information using HOT2000 data. In 2022, EOne began tracking specific heat pump parameters, and in 2023, updated the tracking sheet with new demand savings formulas.

Table 6: 2023 HEA Evaluation Approach Evaluation Objectives Research Questions Methodology Collect information on participant perspectives › What is the level of satisfaction among participants? › What participants suggest for improving th...

AI summary The 2023 HEA Evaluation Approach outlines objectives to collect participant perspectives, calculate gross and net results, and includes methodologies such as participant surveys, tracking sheet audits, billing analysis, and GHG emission reduction calculations.

Solar PV Savings Calculation Review To determine the appropriate savings calculation approach for solar PV systems installed through HEA, Econoler analyzed the information available in the tracking sheet and reviewed the tracked unitary sa...

AI summary Econoler reviewed the savings calculation approach for solar PV systems installed through HEA, analyzing the tracking sheet and EOne's unitary savings values based on SolarHomes results. The 2020-2023 Measure Assessment was updated accordingly.

3.1 Satisfaction with HEA There was a high level of satisfaction with HEA overall, with an average rating of 8.3. 5 Participants who were less satisfied (27%) mentioned that it took too long to receive their rebate (44%), which was likely...

AI summary Participants expressed high satisfaction with the Home Energy Assessment (HEA) program, with an average rating of 8.3. However, 27% of participants were less satisfied, citing issues such as delays in receiving rebates, unclear program requirements, and difficulties accessing information. The Net Promoter Score (NPS) for HEA was 62, indicating strong likelihood of participants recommending the program.

3.2 Suggestions for Improvement Although close to one-half (46%) of participants did not provide any recommendations to improve HEA, the remainder provided a variety of suggestions. HEA participants recommended speeding up the process (17%...

AI summary Participants in the Home Energy Assessment (HEA) program were generally satisfied, with an average rating of 8.3, but some expressed dissatisfaction with the time taken to receive rebates and the difficulty in accessing information from the HEA website. Suggestions for improvement included speeding up the process and simplifying application procedures.

4 HEA Impact Evaluation The objectives of the 2023 HEA impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as effective useful life (EUL) values and associate...

AI summary The 2023 HEA impact evaluation aimed to assess gross and net electrical energy and peak demand savings, annually avoided GHG emissions, and effective useful life (EUL) values along with associated lifetime energy savings.

4.2 Gross Savings For HEA, gross savings correspond to the change in energy consumption resulting from measures implemented by HEA participants regardless of their reasons for participating. 6 The following subsections describe how gross s...

AI summary Gross savings in the Home Energy Assessment (HEA) program are defined as the change in energy consumption resulting from measures implemented by participants, regardless of their motivation for participation. The section outlines how these savings are calculated and how the methodology parameters were determined.

4.2.2 Energy Savings The following subsections detail how energy savings are calculated for HEA, i.e. based on HOT2000 simulation results for space heating energy savings and unitary savings values for all other energy efficiency upgrades...

AI summary This subsection explains how energy savings are calculated for HEA, using HOT2000 simulation results for space heating and unitary savings values for other energy efficiency upgrades and solar PV systems.

Space Heating Energy Savings The electrical energy savings for building envelope measures and space heating equipment (referred to as space heating savings) were calculated using the equation below. Gross Space Heating Savings (kWh) = $$\f...

AI summary The document presents a formula for calculating gross space heating energy savings in kWh, incorporating adjustments for overestimation ratios and non-modelled energy savings. The equation factors in pre- and post-measure electrical heating energy consumption in MJ and converts the result to kWh.

Table 7: 2023 HEA Overestimation Ratios Scenario ORD Assessment ORE Assessment Tracked Evaluated Tracked Evaluated A participant who registered with a heat pump 0% No change 0% No change A participant who registered without a heat pump and...

AI summary Table 7 outlines the 2023 HEA overestimation ratios for different participant scenarios. The table indicates that overestimation ratios vary depending on whether participants registered with or without heat pumps and whether they installed one later. These ratios are relevant for assessing energy savings from non-modelled space heating measures.

Table 8: 2023 HEA Tracked and Evaluated Unitary Energy Savings for Non-modelled Space Heating Measures Measure Tracked Savings [kWh/year] Evaluated Savings [kWh/year] Non-modelled Space Heating Wood Stoves with Electric Resistance Baseline...

AI summary Table 8 presents the tracked and evaluated unitary energy savings for non-modelled space heating measures in 2023, including wood and pellet stoves, furnaces, and boilers with different baseline technologies, as well as smart thermostats. Evaluated savings show no change in most cases, with some measures noted as being divided by the heat pump annual COP.

Domestic Hot Water Energy Savings Savings for domestic hot water (DHW) measures are calculated using a unitary savings value specific to each type of measure implemented. The unitary savings values were favoured over the simulation results...

AI summary The document discusses the calculation of energy savings for domestic hot water (DHW) measures using unitary savings values instead of simulation results from HOT2000, citing inaccuracies in the latter due to reliance on space heating consumption data.

Table 9: 2023 HEA Tracked and Evaluated Unitary Energy Savings for DHW Measures Measure Tracked Savings [kWh/year] Evaluated Savings [kWh/year] DHW Heating Solar DHW 2,908 No change Heat Pump Water Heaters – with Electric Resistance Baseli...

AI summary Table 9 presents 2023 Home Energy Assessment (HEA) tracked and evaluated unitary energy savings for domestic hot water (DHW) measures. It includes data on solar DHW and heat pump water heaters, comparing tracked and evaluated savings in kWh/year.

Reporting Requirements HEA incentives originate from three sources of funding: Nova Scotia Power ratepayers for DSM, the Province of Nova Scotia, and the CGH Grant. The incorporation of the CGH Grant, as a co-funder of the energy assessmen...

AI summary HEA incentives are funded by Nova Scotia Power ratepayers, the Province of Nova Scotia, and the CGH Grant. Savings are reported to the NSUARB and the Province of Nova Scotia through separate evaluation reports. Solar PV measures are included in the DSM Evaluation Report due to their impact on the electric grid.

Table 12: 2023 HEA Tracked and Evaluated Unitary Peak Demand Savings for Non-modelled Space Heating Measures Measure Tracked Savings [W] Evaluated Savings [W] Non-modelled Space Heating Wood or Pellet Stoves with Electric Resistance or Hea...

AI summary Table 12 presents tracked and evaluated unitary peak demand savings for non-modelled space heating measures in the 2023 Home Energy Assessment (HEA). The table includes wood or pellet stoves, furnaces, and boilers with electric resistance or heat pump baselines, showing no change in evaluated savings.

Table 13: 2023 HEA Tracked and Evaluated Unitary Peak Demand Savings for DHW Measures Measure Tracked Savings [W] Evaluated Savings [W] DHW Measures Solar DHW 0 No change Heat Pump Water Heaters – with Electric Resistance Baseline 140 191...

AI summary Table 13 presents tracked and evaluated unitary peak demand savings for domestic hot water (DHW) measures in 2023. It compares savings for different technologies, such as solar DHW and heat pump water heaters, under various baseline scenarios.

Table 14: 2023 HEA Tracked and Evaluated Unitary Peak Demand Savings for Demand Reduction Measures Measure Tracked Savings [W] Evaluated Savings [W] Demand Reduction Measures ETS Units Maximum Storage Capacity in 8 Hours / 16 Hours No chan...

AI summary Table 14 outlines the tracked and evaluated unitary peak demand savings for demand reduction measures in 2023 HEA. The table includes ETS units, three-element water heaters, and DHW heater timers. Interactive effects are discussed in section 4.2.4.

Table 15: Evaluated 2023 HEA Gross Energy and Peak Demand Savings Measure Category Space Heating HPWHs – Electric Resistance Baseline HPWHs – Heat Pump Baseline Electrical Thermal Storage Sub-Total – Energy Efficiency Upgrades Solar PV Mea...

AI summary Table 15 evaluates the 2023 Home Energy Assessment (HEA) gross energy and peak demand savings, including data on number of participants, energy savings, and peak demand reductions. The table includes adjustments for overestimation ratios and line loss factors, as well as lifetime energy savings calculations.

\ \ The number of participants who install space heating measures, other energy efficiency upgrades, and solar PV measures is not mutually exclusive. As presented in [Table](#page-19-0) 16, GHG emissions reductions were calculated by apply...

AI summary The text discusses the non-mutually exclusive nature of participants installing energy efficiency measures and solar PV, and mentions the calculation of GHG emissions reductions using a Nova Scotia-specific factor applied to HEA net savings.

4.3.1 Free-ridership For HEA, free-ridership occurs when participants would have implemented energy efficiency upgrades and/or solar PV systems in the absence of the program component. Free-ridership was assessed as part of this evaluation...

AI summary The document discusses free-ridership in the Home Energy Assessment (HEA) program, noting a 17% free-ridership rate for energy efficiency upgrades and 26% for solar PV systems. The assessment used a self-reporting approach and telephone surveys, with changes in methodology in 2023. The introduction of the CGH Grant is suggested to have influenced participation levels.

Table 18: 2023 HEA Participant Spillover Level Measure Number of Participants Generating Spillover Average Participant Spillover Level All Measures 11 1% 4.3.3 Net-to gross Ratio Calculation

AI summary Table 18 presents the 2023 HEA Participant Spillover Level, showing that 11 participants generated an average spillover level of 1%. Section 4.3.3 discusses the calculation of the Net-to-Gross Ratio.

Table 19: 2023 HEA NTGR Measure Free-ridership Participant Spillover NTGR Energy Efficiency Upgrades 17% 0.84 Solar PV Measures 26% 1% 0.75 4.3.4 Unconverted Assessment Spillover

AI summary Table 19 presents the 2023 HEA NTGR, showing energy efficiency upgrades and solar PV measures with their respective free-ridership, participant spillover, and NTGR values. Section 4.3.4 discusses unconverted assessment spillover, indicating potential impacts of energy efficiency programs on non-participants.

Table 20: 2023 HEA Unconverted D Assessment Spillover 2023 Results Total Number of Unconverted D Assessment Participants 1,441 Ratio of Unconverted D Assessment Participants Who Implemented at Least One Measure 54% Total Number of Unconver...

AI summary Table 20 presents data on the 2023 HEA Unconverted D Assessment Spillover, including the number of participants, energy savings, and peak demand savings. The text references a 2020 recommendation to update parameters for unconverted D assessments, emphasizing the need to act by 2024 due to changes in the HEA program and the increasing number of expired participants.

4.3.5 Green Heat and EPI Savings Deductions Several measures are offered under both HEA and Green Heat. In addition, Efficient Product Installation (EPI) introduced air sealing measures in 2019. To ensure that energy savings are not claime...

AI summary The document discusses measures under HEA and Green Heat, including EPI air sealing introduced in 2019. To avoid double-counting energy savings, net electrical savings from Green Heat or EPI are deducted from HEA savings for overlapping participants. EOne developed a tool to identify these overlaps using customer information fields.

Table 21: 2023 Savings Overlap to Deduct from HEA Overlap Net Energy Savings at Generator (GWh) Net Peak Demand Savings at Generator (MW) Overlap with Green Heat 0.043 0.012 Overlap with EPI 0.038 0.007 Total 0.081 0.019 4.3.6 Evaluated Ne...

AI summary Table 21 shows the overlap of energy savings from various programs with the Home Energy Assessment (HEA) in 2023, including overlaps with Green Heat and Efficient Product Installation (EPI), and the total net energy and peak demand savings at the generator level.

Net savings are defined as the energy use reductions specifically attributable to HEA. Net savings were calculated by applying the NTGR value, adding unconverted D assessment spillover savings, and subtracting Green Heat and EPI savings, a...

AI summary Net savings are calculated using the NTGR value, spillover savings, and deductions for Green Heat and EPI. The net energy savings resulted in 14,330 tonnes of CO2 eq in annual GHG emission reductions.

Table 22: Evaluated 2023 HEA Net Energy and Peak Demand Savings 17.910 - 0.75 13.432 1.095 - 14.708 25.0 (1.814) - 0.75 (1.361) 1.095 - (1.490) 21.0 27.928 1.776 - 23.787 - (0.081) 25.966 23.1 367.707 (31.292) 600.938 - (1.617) 7.363 - 0.7...

AI summary Table 22 presents the evaluated 2023 HEA (Home Energy Assessment) net energy and peak demand savings. The table includes various numerical values and calculations, indicating the performance of energy efficiency programs, such as EPI (Efficient Product Installation), and metrics like NTGR (Net-to-Gross Ratio) and CGH (Clean Green Homes).

Table 23: Comparison of 2023 HEA Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 30.584 GWh 0.79 24.018 GWh Evaluation...

AI summary Table 23 compares tracked and evaluated energy and peak demand savings from the 2023 Home Energy Assessment (HEA) program. It shows gross and net savings, along with realization rates, highlighting differences between tracked savings by EOne and evaluation results.

5 HEA Key Findings and Recommendations As mentioned previously, the main objectives of the 2023 HEA evaluation were as follows: - › Collect information on participant perspectives - › Calculate gross and net results, namely electrical firs...

AI summary The 2023 HEA evaluation found that the program exceeded energy and demand savings targets, with increased participation and average savings per home. Participant satisfaction was high, though delays in rebate processing were noted. Free-ridership levels were lower than previously tracked, and billing analysis results were inconclusive, prompting recommendations for further exploration and a revised evaluation approach for 2024.

6.1 Green Heat Description The Green Heat component of the Existing Residential program is aimed at encouraging the installation of energy efficient heating systems as well as heating systems for which fuel is provided from renewable resou...

AI summary The Green Heat component of the Existing Residential program encourages the installation of energy-efficient and renewable heating systems in Nova Scotia homes by offering financial incentives. EOne staff manages the program, and a midstream incentive pilot for electric thermal storage was introduced in 2021 but ended in 2022.

6.3 Participation History In 2023, the number of Green Heat measures installed decreased by 11% compared to 2022 levels, primarily due to a 22% drop in the number of installed MSHPs, as illustrated in [Figure](#page-28-0) 8 below. The laun...

AI summary Green Heat participation declined in 2023, with an 11% drop in installed measures, mainly due to a 22% decline in MSHP installations. This was influenced by the introduction of the Canada Greener Homes Grant, which attracted some participants to enroll in federal programs instead of Green Heat. Demand reduction measures remained stable, but overall savings were 10% lower than in 2022.

7 Green Heat Evaluation Approach The 2023 Green Heat evaluation comprised a condensed impact evaluation as well as process, and market evaluations. The main objectives of the evaluations were as follows: - › Collect information on particip...

AI summary The 2023 Green Heat evaluation focused on collecting participant perspectives, calculating energy and GHG savings, and analyzing the market for mini-split heat pumps. A billing analysis was excluded due to concerns over data interpretation, with plans to revisit it in 2024.

Tracking Sheet Audit Prior to performing the savings review, the Evaluator performed an audit of the final 2023 tracking sheet to ensure it was complete and the entered data were consistent. The detailed protocol used for the tracking shee...

AI summary The Evaluator conducted an audit of the final 2023 tracking sheet to ensure completeness and data consistency prior to performing the savings review. The audit protocol and results are detailed in Appendix XIII.

8.1 Awareness About Green Heat and Motivations for Participating As the results illustrate in [Figure](#page-32-0) 10 below, MSHP and biomass participants cite different sources of awareness about Green Heat. MSHP participants mentioned co...

AI summary The text discusses awareness of Green Heat among participants in MSHP and biomass programs, highlighting different sources of awareness and motivations for participation. MSHP participants cite contractors and word of mouth, while biomass participants rely more on online sources. The primary motivation for participation is saving money, either through rebates or future energy cost savings.

8.2.1 Participants As the results in [Figure](#page-34-0) 12 below indicate, biomass and MSHP participants are highly satisfied with the equipment installed in the home and the selection of equipment eligible for rebate. That said, biomass...

AI summary Participants in the Green Heat program report high satisfaction with equipment and eligibility, but MSHP participants are less satisfied with rebate amounts and program clarity. Biomass participants are more satisfied overall. ETS participants also show high satisfaction.

8.2.2 Contractors The average rating of 6.6 for overall program satisfaction among contractors – with nine out of 20 being highly satisfied and eight providing a more neutral score – reveals that the program component does not perform opti...

AI summary Contractors report mixed satisfaction with the Green Heat program, with an average rating of 6.6. While they are satisfied with eligibility criteria, application forms, and the website, dissatisfaction stems from low incentives, communication issues with EOne, and restrictive eligibility criteria.

Contractors are less satisfied with: - › The effectiveness of the program marketing materials (average score of 5.4) mainly because they say that there is not enough marketing and only limited amounts of program materials - › The incentive...

AI summary Contractors are less satisfied with the Green Heat Elements program, citing issues with marketing materials, low incentives, outdated eligible equipment lists, and the difficulty of navigating the ENS portal.

Table 27: Elements of Dissatisfaction and Justifications Element of Dissatisfaction (Score of <8) Reasons for Dissatisfaction/What Could Be Improved (#) n=11 Overall program › Communication issues/lack of information from EOne (4) › Eligib...

AI summary The table outlines elements of dissatisfaction with various programs, including communication issues, restrictive eligibility criteria, low incentive levels, and difficulties with online portals and application forms. Respondents highlighted the need for improved marketing, updated equipment lists, and more user-friendly interfaces.

8.3.1 Participant Familiarity Nearly nine in ten (87%) Green Heat participants 15 report knowing that Home Energy Assessment ( HEA) enables access to the CGH Grant . Over one quarter of those who have heard of HEA/CGH Grant mention that th...

AI summary The text discusses participant familiarity with the Green Heat program and the CGH Grant, noting that 87% of Green Heat participants are aware of the HEA and CGH Grant. Contractors report that fewer than 20% of customers who know about both programs choose Green Heat, and that confusion between the two programs is high among customers.

Equipment Five contractors spontaneously mentioned that some of the equipment eligible for HEA/ CGH Grant is not covered under Green Heat or that, generally, the eligible equipment lists of the two do not match. Contractors understand that...

AI summary Contractors noted discrepancies between eligible equipment lists for HEA/CGH Grant and Green Heat, with the former requiring two heat pump units and covering whole home upgrades, while the latter allows for single unit eligibility and focuses on heating equipment.

8.5 Strengths and Challenges According to contractors, the main strength of Green Heat is by far that the rebate incentivizes homeowners to install MSHPs and/or time of use systems (i.e. ETS). Contractors note that the money saved is a key...

AI summary The Green Heat program's main strength is its rebate, which incentivizes homeowners to install more efficient heating systems like MSHPs and ETS. Contractors highlight that the rebate benefits their sector by encouraging the switch from fossil fuels and educating homeowners on long-term affordability and environmental benefits. The program is also praised for its simplicity and clear eligibility criteria.

MSHP contractor quotes: "To promote more efficient heating equipment into the marketplace. … by far, HP industry is a money saver for homeowners. Great to be stressing how advantageous heat pumps are in terms of efficiency and cost." "Peop...

AI summary Contractors highlight the benefits of heat pumps and rebates in promoting energy efficiency but note that the Green Heat program lacks relevance due to the higher incentives offered by the CGH Grant. Five contractors believe Green Heat does not have a clear niche, and six emphasize that the CGH Grant provides better monetary value to homeowners.

Green Heat Challenges: - › Lacks relevance since the CGH Grant - › Low rebates vs. the CGH Grant - › Contractors having to provide customer support - › Communications with EOne - › Switch from oil to ETS not eligible

AI summary The text outlines several challenges related to the Green Heat initiative, including lack of relevance compared to the Community Grant for Homes (CGH), lower rebates than CGH, contractor responsibilities, communication issues with EOne, and ineligibility for switching from oil to Electric Thermal Storage (ETS).

8.6 Suggestions for Improvements Among the participants who have suggestions on how to improve Green Heat: - › 17% suggest increasing the amount of the rebate. - › 11% mention simplifying the application form and associated paperwork. - ›...

AI summary Participants and contractors suggest improving the Green Heat program by increasing rebate amounts, simplifying application processes, and enhancing communication. They also recommend covering the switch from oil to ETS and improving marketing efforts.

8.7 Awareness About, Motivations for, and Barriers to Purchasing ETS MSHP participants and MSHP contractors were asked whether they had heard of electric thermal storage (ETS). A total of six in ten (61%) MSHP participants and 19 out of 20...

AI summary The text discusses awareness, motivations, and barriers related to purchasing electric thermal storage (ETS) among MSHP participants and contractors. Key motivations include time-of-day rates, energy cost savings, and rebates, while barriers primarily revolve around cost and rebate differences compared to heat pumps.

9.2 Gross Savings For Green Heat, gross savings correspond to the change in energy consumption resulting from actions taken by participants regardless of their reasons for participating. 20 For the 2023 evaluation, the Evaluator relied on...

AI summary Green Heat's gross savings are calculated based on energy consumption changes from participant actions. For the 2023 evaluation, values from the 2020-2023 Measure Assessment were used, as a billing analysis for MSHPs could not be conducted. Annual reviews of CASHP unitary peak demand savings were not performed in 2023 due to a very small number of installations.

9.2.2 Unitary Energy Savings To establish Green Heat unitary savings, the Evaluator relied on a combination of billing analyses, energy models, engineering algorithms, and literature reviews. The 2020-2023 Measure Assessment provides a det...

AI summary The Evaluator used billing analyses, energy models, and literature reviews to establish Green Heat unitary energy savings. No changes were made to the savings algorithms in 2023, and the energy savings for heat pump measures are calculated based on capacity. Solar measures use the RETScreen tool for energy savings calculations.

Table 28: 2023 Green Heat Tracked and Evaluated Unitary Energy Savings Measure Tracked Savings per Capacity [kWh/Btu/h] Evaluated Savings [kWh/year] Heat Pumps MSHPs – Fully Electrically Heated 0.179 3,045 MSHPs – Mainly Electrically Heate...

AI summary Table 28 presents the 2023 Green Heat Tracked and Evaluated Unitary Energy Savings, detailing energy savings from various heating measures such as heat pumps, biomass, and solar. The data includes tracked savings per capacity and evaluated savings in kWh/year for different types of heating systems.

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

AI summary Peak demand savings are calculated for specific periods in Nova Scotia, focusing on the coldest days between December and February. Unitary peak demand savings for measures like MSHPs, ETS units, and CASHPs are evaluated, with some revisions based on heating capacity and performance metrics. The 2020-2023 Measure Assessment provides the detailed calculations.

Table 29: 2023 Green Heat Unitary Peak Demand Savings Measure Evaluated Peak Demand Savings [W] Heat Pumps MSHPs – Fully Electrically Heated 2,470 MSHPs – Mainly Electrically Heated 2,540 Air-to-water Heat Pumps 3,989 CASHPs 3,989 GSHPs N/...

AI summary Table 29 presents peak demand savings for various heating measures under the 2023 Green Heat initiative. The data includes savings for heat pumps, biomass, and solar technologies, with some entries marked as N/A. The savings are calculated based on specifications and installation data.

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

AI summary Interactive effects refer to how energy efficiency products can impact other home systems like heating and cooling. Since Green Heat measures directly target these systems, no additional interactive effects factor was applied as their impact is already considered in unitary savings.

9.2.6 Evaluated Gross Savings The annual gross savings for each category of measure installed through Green Heat in 2023 are listed in [Table](#page-50-0) 30 below. The gross savings at the generator were estimated by using a line loss fac...

AI summary The document discusses the evaluation of annual gross savings for measures installed through Green Heat in 2023, estimating savings at the generator using line loss factors from the 2014 Cost of Service Study Progress Update submitted to the NSUARB.

Table 30: Evaluated 2023 Green Heat Energy and Peak Demand Savings Measure Measure MSF IPs Air-to-Water Fully Electrical Mainly Electrical CASHPs Heat Pumps Number of Units 937 239 4 2 Energy Savings Unitary Energy Savings (kWh) 3,045 1,02...

AI summary Table 30 evaluates the 2023 Green Heat Energy and Peak Demand Savings for various measures, including heat pumps, wood stoves, and pellet stoves. It provides data on energy savings, peak demand savings, and useful life across different technologies and baselines.

Evaluated 2023 Green Heat Gross Energy and Peak Demand Savings (Continued) Measure Solar DHW Solar Thermal Air Heating ETS Three-element Water Heaters DHW Heater Timers Total Number of Units - - 186 146 54 1,783 Energy Savings Unitary Ener...

AI summary The table presents evaluated 2023 Green Heat gross energy and peak demand savings for various measures, including Electric Thermal Storage (ETS) and three-element water heaters. It outlines energy savings, effective useful life, and peak demand savings at both the meter and generator levels.

[Figure](#page-53-0) 18 compares tracked gross energy savings to evaluated gross energy savings at the generator. As outlined in the figure, tracked and evaluated energy savings are the same for all measures. Figure 18: 2023 Green Heat Tra...

AI summary The figures and table compare tracked and evaluated energy and peak demand savings from the 2023 Green Heat program, showing they are the same for all measures. The table also outlines how GHG emissions reductions were calculated using a Nova Scotia-specific factor applied to electricity production emissions.

Table 34: Evaluated 2023 Green Heat Net Energy and Peak Demand Savings MSI HPs . Air-to-Water Measure Measure Fully Mainly Electrical Electrical CASHPs Heat Pumps Energy Savings Gross Energy Savings – at the Meter (GWh) 2.853 0.245 0.017 0...

AI summary Table 34 provides an evaluation of the 2023 Green Heat Net Energy and Peak Demand Savings for various measures, including heat pumps, wood stoves, and pellet stoves. The table includes metrics such as gross and net energy savings, NTGR, line loss factor, and peak demand savings at both the meter and generator levels.

Evaluated 2023 Green Heat Net Energy and Peak Demand Savings (Continued) Measure Solar DHW Solar Thermal Air Heating Electric Thermal Storage Three-element Water Heaters DHW Heater Timers Total Energy Savings Gross Energy Savings – at the...

AI summary The 2023 Green Heat program underperformed its energy and peak demand savings targets by 19.6% and 12.3% respectively, as outlined in the evaluated data and figure provided.

Table 35: Comparison of 2023 Green Heat Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Value Unit Value Unit Rate Energy Savings Tracked Savings by EOne 5.561 GWh 0.60 3.352 GWh Evaluation Results...

AI summary Table 35 compares tracked and evaluated energy and peak demand savings from the 2023 Green Heat program. It includes gross savings, net savings, and the net-to-gross ratio (NTGR) for both energy and peak demand, with realization rates provided for energy savings.

10 Green Heat Market Evolution EOne has been active in the MSHP market through Green Heat since October 2015. 23 A market evolution assessment was completed as part of the 2017, 2018, 2019, and 2021 evaluations, the results of which served...

AI summary EOne has been active in the MSHP market through Green Heat since 2015. Market evolution assessments were conducted in 2017, 2018, 2019, and 2021 to analyze market adoption and barriers. This section updates that data and provides insights into the ongoing transformation of the MSHP market in Nova Scotia.

10.1 Market Indicators The Evaluator analyzed available market data and established key market indicators to understand the state of the MSHP market in Nova Scotia. A key source of information used in this analysis was the heat pump data a...

AI summary The Evaluator analyzed market data to establish key indicators for the MSHP market in Nova Scotia, using information from the 2023 NS Power load forecast and regulatory filings, which include historical data up to 2022 and forecasts for 2023 and 2024.

Green Heat Mini-split Heat Pumps Green Heat incents participants to purchase eligible high-performing cold climate MSHPs. From July 2017 to April 2021, only single-zone systems with a heating seasonal performance factor (HSPF) greater than...

AI summary The Green Heat program incentivizes the purchase of high-performing cold climate mini-split heat pumps (MSHPs). Eligibility criteria became more stringent after January 2021, leading to a significant decline in the number of incented systems, particularly in 2022 and 2023.

2019 2020 2021 2022 2023 Number of Homes with MSHP Systems 585 514 503 2,253 4,876 \ For 2019-2021, the table indicates the number of MSHPs incented through HEA. In 2022 and 2023, the table indicates the number of homes in which MSHPs were...

AI summary The table shows the number of homes with MSHP systems from 2019 to 2023. From 2019 to 2021, the numbers represent homes incentivized through HEA, while 2022 and 2023 show actual installations. The numbers increased significantly from 2021 to 2023.

10.2.2 Mini-split Heat Pump Prices [Figure](#page-65-0) 24 below provides the average cost of incented systems (excluding incentives) as well as the average incentive across nominal capacities based on the Green Heat tracking sheets from 2...

AI summary The text discusses the average costs and incentives for mini-split heat pumps (MSHPs) from 2019 to 2023, noting a slow upward trend in prices since 2021. Distributors and contractors attribute the increase to inflation, higher raw material and labor costs, and the pandemic. The average price differential between standard and Green Heat-eligible MSHPs is also highlighted.

10.2.3 Mini-split Heat Pump Market Outlook and Trends The Evaluator asked distributors and contractors to provide inputs to evaluate the evolution of MSHP sales over the past two years and for the near future. Four of the five interviewed...

AI summary The document discusses the growth in mini-split heat pump (MSHP) sales in Nova Scotia from 2021 to 2023, driven by incentive programs, the CGH Grant, and the decreasing popularity of oil as a heating fuel. Contractors report increased demand and note challenges such as supply shortages and rising competition.

Table 39: Analysis of 2023 Key Factors in Energy Efficiency Program Planning Factor Results Market share of heat pumps and efficient MSHPs NS Power data indicate a marked increase in new heat pump systems installed in 2022, an increase tha...

AI summary The document discusses the increasing adoption of heat pumps in Nova Scotia, driven by federal incentives and declining use of oil for heating. NS Power forecasts continued growth in heat pump installations, with a significant portion of these installations receiving incentives from EOne's Green Heat and HEA programs.

2023 Green Heat-Finding: Green Heat fell short of its net savings targets. Green Heat achieved 2.918 GWh in net electrical energy savings and 2.561 MW in net peak demand savings at the generator in 2023, thus falling short of the planned n...

AI summary In 2023, the Green Heat program achieved 2.918 GWh in net electrical energy savings and 2.561 MW in net peak demand savings, falling short of the planned targets of 3.629 GWh and 2.920 MW, respectively.

2023 Green Heat-Finding: Most customers prefer HEA/CGH Grant over Green Heat, but Green Heat is a good option for a minority. Contractors say that fewer than two in every 10 customers who know about both Green Heat and HEA/CGH Grant choose...

AI summary Most customers prefer the HEA/CGH Grant over Green Heat, but Green Heat remains a viable option for some due to its simplicity, lack of home energy assessments, and faster rebate processing.

2023 Green Heat-Finding: Contractors/installers play an important role in recommending Green Heat. Contractors/installers play a very important role not only in promoting and informing about incentive programs, but also in recommending Gre...

AI summary Contractors and installers are key in promoting Green Heat, but they often recommend HEA/CGH Grant due to higher incentives. They are engaged with EOne programs and interested in education about Green Heat, though they lack clarity on the differences between Green Heat and HEA/CGH Grant.

2023 Green Heat-Finding: Overall satisfaction is lower among MSHP participants and contractors. Most Green Heat participants are highly satisfied with the program overall although satisfaction is higher among biomass participants than MSHP...

AI summary The 2023 Green Heat-Finding indicates that while most participants are satisfied with the program, satisfaction is lower among MSHP participants and contractors. Issues include rebate amounts, website usability, and communication with EOne. Recommendations focus on improving marketing, website navigation, and communication.

2023 Green Heat-Finding: The MSHP market is in a sustained growth phase. NS Power data indicate a marked increase in annual incremental heat pump installations in 2022 and forecasted that 40% of Nova Scotia households were using a heat pum...

AI summary The MSHP market in Nova Scotia is growing rapidly, driven by consumer interest and financial incentives like the CGH Grant. However, challenges remain, particularly for low and moderate-income households and those needing heat pump replacements. The report recommends increasing incentives for these groups to boost participation in Green Heat.

Table 40: 2023 EPI List of Eligible Products Products Electrical Savings Non-electrical Savings LED Lamps Including A-types, Reflectors, and Chandeliers X - LED Nightlights X - Faucet Aerators X X Low-flow Showerheads X X Thermostatic Show...

AI summary Table 40 lists eligible products for the 2023 Efficient Product Installation (EPI) program, including LED lamps, smart thermostats, and insulation materials. The text also mentions a pilot installation of 97 smart thermostats for electric baseboards, which was paused when the installation of domestic hot water heater load controllers was paused.

12.3 Participation History As presented in [Figure](#page-75-0) 27 below, EPI had 9,763 DSM participants, which represents a 16% increase in participation compared to 2022. 44 In 2023, 153,775 efficient products were installed, which repre...

AI summary The EPI program saw a 16% increase in DSM participants and an 18% increase in efficient product installations in 2023 compared to 2022. LED lamps remained the most popular product, accounting for 77% of installations and 46% of energy savings. Smart thermostats for MSHPs contributed 26% of EPI gross energy savings.

13 EPI Evaluation Approach The 2023 EPI evaluation comprised a condensed impact evaluation. The main objectives of the 2023 EPI evaluation were as follows: › Calculate gross and net EPI results, namely electrical first-year and lifetime en...

AI summary The 2023 EPI evaluation focused on calculating gross and net energy savings, peak demand savings, and avoided GHG emissions. Key research questions were identified to achieve these objectives, with methods outlined in Table 41.

Table 41: 2023 EPI Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime g...

AI summary Table 41 outlines the 2023 EPI Evaluation Approach, focusing on calculating gross and net results through methods such as tracking sheet audits and unitary savings reviews. It also considers net avoided GHG emissions and uses the 2021 NTGR results for calculations.

EUL Update The Evaluator updated the EUL values of lighting products given the rapid evolution of the lighting market and established EUL values for the new smart thermostat measure. The 2020-2023 Measure Assessment was updated accordingly...

AI summary The Evaluator updated EUL values for lighting products and established values for smart thermostats in the 2020-2023 Measure Assessment, which is used to calculate energy and peak demand savings for EOne's DSM program. The assessment is referenced for evaluations during the 2020-2022 and 2023-2025 DSM cycles.

Calculations Using Evaluation Results Building on all the above methods and collected data, the Evaluator calculated the first-year and lifetime energy and peak demand savings using the equations and parameters that were determined to be v...

AI summary The Evaluator used collected data and valid equations to calculate first-year and lifetime energy and peak demand savings, building on previously established methods.

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

AI summary The document explains that net avoided GHG emissions for EPI are calculated by multiplying net energy savings by a Nova Scotia-specific factor derived from NSP data, which reflects GHG emissions from electricity production.

14.2 Gross Savings For EPI, gross savings correspond to the change in energy consumption resulting from installing energy efficient products in participants' homes regardless of why they participated. 47 The Evaluator relied on information...

AI summary The document discusses the calculation of gross savings for the Efficient Product Installation (EPI) program, using data from evaluations conducted between 2019 and 2023. Adjustments were made to account for discrepancies in tracked lamp replacements and updated Energy Use Limit (EUL) values for lighting products.

14.2.1 Installation Rates Installation rates represent the proportion of products recorded in the tracking sheet that remain installed in participants' homes. No data collection aimed at updating installation rates for measures of the EPI...

AI summary Installation rates for energy efficiency measures are discussed, with data from 2021 being used due to a lack of 2023 data collection. A 100% installation rate was assumed for smart thermostats in a pilot program, while a maximum of one-third was assumed for window film kits due to self-installation complexity.

Table 42: EPI Product Installation Rates Product Installation Rate Applied to Gross Savings Margin of Error Source LED Lamps 94% 2.1% 2021 EPI on-site visits LED Nightlights 94% 2.1% 2021 EPI on-site visits Faucet Aerators 85% 6.8% 2021 EP...

AI summary Table 42 presents the installation rates and margins of error for various energy-efficient products under the Efficient Product Installation (EPI) program. The data is sourced from on-site visits, evaluations, and assumptions, highlighting the effectiveness of different products in achieving energy savings.

Table 43: 2023 EPI Tracked and Evaluated Unitary Energy Savings EPI – Single-family Homes EPI – Apartments EPI – Single-family Homes EPI – Apartments Product Tracked Savings [kWh/yr] Evaluated Savings [kWh/yr] Tracked Savings [kWh/yr] Eval...

AI summary Table 43 presents the 2023 EPI tracked and evaluated unitary energy savings for single-family homes and apartments. The data shows that energy savings for various products remain unchanged, with no significant variations between tracked and evaluated savings across different heating systems and product types.

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

AI summary The document discusses peak demand savings during specific hours in Nova Scotia and references a table summarizing tracked and evaluated unitary peak demand savings for products installed through EPI in 2023.

Table 44: 2023 EPI Tracked and Evaluated Unitary Peak Demand Savings Values EPI – Single-family Homes EPI – Apartments Product Tracked Savings [W/yr] Evaluated Savings [W/yr] Tracked Savings [W/yr] Evaluated Savings [W/yr] LED Lamps 9 W Re...

AI summary Table 44 presents the tracked and evaluated unitary peak demand savings values for various LED lamp products under the Efficient Product Installation (EPI) program in 2023, showing no changes in evaluated savings compared to tracked savings across different home and apartment settings.

In a home, interactive effects occur when the implementation of energy efficiency products has an impact on the energy consumption of other elements such as heating and cooling. In the case of EPI, replacing lighting products with LEDs cau...

AI summary The text discusses interactive effects of energy efficiency products, such as LED lighting and hot water insulation, on heating and cooling loads in homes. These effects are calculated using interactive effects factors from the 2020-2023 Measure Assessment and applied to energy and peak demand savings values for EPI tracking.

Table 45: 2023 EPI Interactive Effects Calculation Results for LED Products Product Location Type of Home Energy Interactive Effects Factors Peak Demand Interactive Effects Factors LED A-type Indoor Heat Pump Heating and Air Conditioning -...

AI summary Table 45 presents the 2023 EPI interactive effects calculation results for LED products, showing energy and peak demand effects across different home types and locations. Table 46 provides similar data for pipe insulation and hot water tank wraps, highlighting energy and peak demand interactive effects for various housing types. These tables are used to assess the impact of energy-efficient products on overall energy use and demand.

Table 47: 2023 EPI Equivalent EUL and Gross Lifetime Unitary Savings Values Product Tracked Equivalent EUL Evaluated Equivalent EUL Evaluated Gross Lifetime Unitary Savings [kWh] [years] [years] Single-family Apartments LED A19 Lamps 9 W R...

AI summary Table 47 presents the 2023 EPI Equivalent EUL and Gross Lifetime Unitary Savings Values for various energy-efficient products, including LED lamps, air sealing products, and water-saving devices. The data includes both tracked and evaluated Equivalent Energy Use Life (EUL) and the gross lifetime savings in kilowatt-hours for single-family homes and apartments.

[Table](#page-89-0) 48 an[d Table](#page-96-0) 49 below present the annual gross savings results per product category and dwelling for the main EPI offering, including the smart thermostat for electric baseboard pilot measure[. Table](#pag...

AI summary The document presents annual gross savings results for the main EPI offering, including the smart thermostat for electric baseboard pilot measure. Total gross energy and peak demand savings amounted to 9.481 GWh and 0.942 MW, representing 65.685 GWh in lifetime electrical energy savings. Line loss factors were used to estimate gross savings at the generator based on rate codes submitted in the 2014 Cost of Service Study Progress Update.

Table 48: Evaluated 2023 EPI Gross Energy and Peak Demand Savings per Measure - Single-family Homes LED Lamps Product Category 9 W Replacing 25 W 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units 476 382 16,036 304 50,07...

AI summary Table 48 evaluates the energy and peak demand savings from the Efficient Product Installation (EPI) program in single-family homes in 2023. It details energy savings per measure, including installation rates, energy interactive effects, and gross energy savings at both the meter and generator levels. The table also includes peak demand savings and associated factors.

Product Category LED Lamps 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 1,169 5,380 303 72 1,458 Installation Rate (%) 94% 94%...

AI summary The table presents energy savings data for various LED lamp products, including installation rates, energy savings values, and adjustments. It includes metrics such as gross energy savings, peak demand savings, and factors like interactive effects and line loss, which are calculated based on installation data and weighted averages.

LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 7 W Replacing 40 W E12 5 W Chandelier Replacing 40 W Number of Units Number of Units 13,906 530 3,938 3,470 11,972 Installation Rate (%) 94% 94% 94%...

AI summary The document presents a detailed table of 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. It also includes peak demand savings and related factors.

Thermostatic Low-flow Showerheads Product Category Faucet Aerators Shower Valves 2.5 gpm 0.5 gpm Reduction 0.75 gpm Reduction 1.0 gpm Reduction Number of Units Number of Units 4,165 599 252 108 2,633 Installation Rate (%) 85% 88% 96% 96% 9...

AI summary The text presents a table detailing energy savings and peak demand reductions from the installation of various water efficiency products, including thermostatic faucets, aerators, and low-flow showerheads. The table includes metrics such as number of units installed, energy savings, and peak demand savings at both the meter and generator levels.

Product Category Pipe Insulation (per foot) Hot Water Tank Wraps Retractable Clotheslines Smart Thermostats for Electric Baseboards Smart Thermostats for MSHPs Number of Units Number of Units 12,127 1,842 87 97 4,434 Installation Rate (%)...

AI summary The text presents a table detailing energy savings and installation rates for various energy efficiency products, including pipe insulation, hot water tank wraps, retractable clotheslines, and smart thermostats. The table includes metrics such as unitary savings value, gross energy savings, effective useful life, and peak demand savings for each product category.

Air Sealing Products– Electric Resistance Heating Product Category Foam Gaskets Door Sweeps Window Air Sealing Window Film Kits Door Weather Stripping Number of Units Number of Units 1,212 43 120 458 189 Installation Rate (%) 31% 100% 84%...

AI summary The document presents a table detailing energy savings and installation rates for various air sealing products used with electric resistance heating. It includes metrics such as unitary savings value, gross energy savings, and peak demand savings for different product categories, along with factors like interactive effects and line loss.

Air Sealing Products - He at Pump Hea ating Total for Product Category Foam Gaskets Door Sweeps Window Air Sealing Window Film Kits Door Weather Stripping Single-family Homes Number of Units • Number of Units 4,031 131 172 1,404 473 148,69...

AI summary The text provides a detailed table summarizing energy savings data for various home energy efficiency products, including air sealing and heat pumps. It includes metrics like number of units installed, energy savings, peak demand savings, and lifetime energy savings, with factors such as line loss and interactive effects applied for accuracy.

Table 49: Evaluated 2023 EPI Gross Energy and Peak Demand Savings per Measure – Apartments LED Lamps Product Category 9 W Replacing 25 W 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units 17 22 363 8 1,672 6 630 0 Install...

AI summary Table 49 evaluates the 2023 EPI Gross Energy and Peak Demand Savings per Measure for apartments, including data on LED lamps, installation rates, energy savings, and peak demand savings. The table also includes factors like energy interactive effects, line loss factors, and effective useful life for each product category.

Product Category LED Lamps 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 21 68 0 0 3 Installation Rate (%) 94% 94% 94% 94% 94%...

AI summary The table presents data on LED lamp installations, including energy savings, installation rates, and peak demand savings across different product categories. It includes metrics such as unitary savings value, interactive effects factor, and line loss factor. The data shows minimal energy savings and peak demand savings for the various LED lamp types.

LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 7 W Replacing 40 W E12 5 W Chandelier Replacing 40 W Number of Units Number of Units 780 10 66 94 137 Installation Rate (%) 94% 94% 94% 94% 94% Numb...

AI summary The table presents energy savings data for various LED lamp products, including installation rates, unitary savings values, and interactive effects factors. It highlights energy savings at the meter and generator levels, as well as peak demand savings, for different product categories.

Faucet Thermostatic Low-flow Showerheads Aerators Shower Valves 2.5 gpm 0.5 gpm Reduction 0.75 gpm Reduction 1.0 gpm Reduction Number of Units Number of Units 291 19 9 4 150 Installation Rate (%) 85% 88% 96% 96% 96% Number of Units Install...

AI summary The table presents energy savings data from the installation of various water conservation devices, including faucet aerators, thermostatic shower valves, and low-flow showerheads. It includes metrics such as energy savings, peak demand savings, and lifetime energy savings, along with factors like interactive effects and line loss.

Product Category Pipe Insulation (per foot) Hot Water Tank Wraps Retractable Clotheslines Smart Thermostats for Electric Baseboards Smart Thermostats for MSHPs Number of Units Number of Units 206 48 1 0 18 Installation Rate (%) 100% 100% 8...

AI summary The table presents data on energy savings and installation rates for various energy efficiency products, including pipe insulation, hot water tank wraps, retractable clotheslines, and smart thermostats for electric baseboards and MSHPs. It includes metrics such as unitary savings value, interactive effects factor, and gross energy savings at different points in the system.

Air Sealing Products – Electric Resistance Heating Product Category Foam Gaskets Door Sweeps Window Air Sealing Window Film Kits Door Weather Stripping Number of Units Number of Units 178 2 22 111 21 Installation Rate (%) 31% 100% 84% 33%...

AI summary The table presents data on energy savings and installation rates for various air sealing products used with electric resistance heating, including foam gaskets, door sweeps, and window air sealing. It includes metrics such as unitary savings value, gross energy savings, and effective useful life for each product category.

Air Sealing Products - Heat I Pump Heating g Product Category Foam Gaskets Door Sweeps Window Air Sealing Window Film Kits Door Weather Stripping Total for Apartments Number of Units Number of Units 86 0 8 6 0 5,077 Installation Rate (%) 3...

AI summary The table presents data on energy savings from various home efficiency products, including air sealing and heat pumps, across different unit categories. It includes metrics such as installation rates, energy savings, peak demand savings, and lifetime energy savings, along with factors like interactive effects and line loss. The data is organized by product type and includes calculations for gross energy and peak demand savings at both the meter and generator levels.

Table 50: Evaluated 2023 EPI Gross Energy and Peak Demand Savings Total for Single family Homes Total for Apartments Grand Total Number of Units Number of Units 148,698 5,077 153,775 Installation Rate (%) 91% 89% 91% Number of Units Instal...

AI summary Table 50 presents the evaluated 2023 EPI Gross Energy and Peak Demand Savings, detailing the number of units installed, energy savings, and peak demand savings for single-family homes and apartments. The table includes metrics such as installation rates, line loss factors, and gross energy savings at both the meter and generator levels.

[Figure](#page-104-0) 29 below compares the tracked and evaluated gross energy savings at the generator, while [Figure](#page-105-0) 30 further below compares the tracked and evaluated gross peak demand savings at the generator. As outline...

AI summary The text discusses figures comparing tracked and evaluated gross energy and peak demand savings from the 2023 EPI program. It notes that tracked and evaluated savings were the same for all measures, and mentions the use of a Nova Scotia-specific factor to calculate GHG emissions reductions based on EPI results.

14.3 Net Savings The Evaluator determined the net energy and peak demand savings, i.e. the electrical energy and peak demand savings that can be reliably attributed to a program component, by estimating the NTGR. In the case of EPI, the NT...

AI summary The Evaluator calculated net energy and peak demand savings by estimating the NTGR, taking into account free-ridership and participant spillover effects, particularly in the context of the Efficient Product Installation program.

Table 54: 2023 EPI Net-to-gross Ratios by Product Category EPI LED Lamps Low-flow Showerheads Other Products Non-low income Participants Low-income Participants Non-low income Participants Low-income Participants Non-low income Participant...

AI summary Table 54 presents the 2023 EPI Net-to-gross Ratios by product category, showing varying ratios for different participant types and product categories. The data includes NTGR values and the proportion of gross savings by participant type, with overall NTGR values provided for reference.

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

AI summary The document defines net savings as energy use reductions attributable to EPI, calculated using the NTGR applied to gross savings. This method was used to estimate both electrical energy and peak demand savings, resulting in 5,164 tonnes of CO2 eq in annual GHG emission reductions.

Table 55: Evaluated 2023 EPI Net Energy and Peak Demand Savings per Measure LED Lamps Product Category 9 W Replacing 25 W 29 W 40 W 43 W 60 W 72 W 100 W 150 W Energy Savings Gross Energy Savings – at the Meter (GWh) 0.006 0.006 0.375 0.008...

AI summary Table 55 evaluates the 2023 EPI Net Energy and Peak Demand Savings per Measure for LED lamps replacing various wattage bulbs. It details gross and net energy savings, line loss factors, and net lifetime energy savings at the generator, along with peak demand savings at the meter and generator.

Evaluated 2023 EPI Net Energy and Peak Demand Savings per Measure (Continued) 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 Energy S...

AI summary The document presents a continuation of the evaluated 2023 EPI Net Energy and Peak Demand Savings per Measure, detailing energy savings for various LED lamp products, including Gross Energy Savings, Net Energy Savings, and Peak Demand Savings, along with factors like NTGR and Line Loss Factor.

Table 56: Comparison of 2023 EPI Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Value Unit Value Value Unit Energy Savings Tracked Savings by EOne 9.481 GWh 0.98 9.308 GWh 101% Evaluati...

AI summary Table 56 compares the tracked and evaluated savings from the 2023 Efficient Product Installation (EPI) program, including energy and peak demand savings. The table shows gross and net savings values, as well as realization rates, for energy and peak demand across different product types.

15 EPI Key Findings and Recommendations As mentioned previously, the main objectives of the 2023 EPI evaluation were as follows: › Calculate gross and net EPI results, namely electrical first-year and lifetime energy savings, peak demand s...

AI summary The 2023 EPI evaluation found that net electrical energy and peak demand savings exceeded targets, with participation increasing by 16% compared to 2022. LED lamps and smart thermostats were the most popular measures, and the differences between evaluated and tracked savings were minimal due to updated NTGRs.

17 MHEEP Evaluation Approach The 2023 MHEEP evaluation comprised a condensed impact evaluation. The main objectives of the 2023 MHEEP evaluation were as follows: › Calculate gross and net MHEEP results, namely electrical first-year and lif...

AI summary The 2023 MHEEP evaluation focused on calculating gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The evaluation objectives are mapped to research questions and methods in Table 57.

18.2 Gross Savings MHEEP gross savings correspond to the change in energy consumption resulting from the measures implemented by participants regardless of why they participated. 51 In 2023, MHEEP participants received building envelope up...

AI summary MHEEP gross savings are calculated based on changes in energy consumption from implemented measures, excluding certain nonmodelled upgrades. These savings are determined using HOT2000 modelling and unitary savings values for specific appliances and systems.

Table 58: Evaluated 2023 MHEEP Overestimation Ratios Scenario ORD ORE A participant who registered with a heat pump 0% 0% A participant who registered without a heat pump and who did not have one installed 19% 19% A participant who registe...

AI summary Table 58 evaluates the overestimation ratios for the 2023 Mikmaw Home Energy Efficiency Project (MHEEP) under different scenarios. It shows varying percentages of overestimation depending on whether participants registered with or without heat pumps and whether they had one installed. The text also explains that participants with non-electrical space heating can generate both electrical and non-electrical savings, with the proportion of electrical savings determined by the assessment.

Non-modelled Measures Replaced appliances, programmable and smart thermostats, drain water heat recovery systems, and heat pump water heaters are not modelled in HOT2000. Instead, energy savings are calculated based on unitary energy savin...

AI summary Non-modelled measures such as replaced appliances and heat pump water heaters are not included in the HOT2000 model. Energy savings for these measures are calculated using unitary energy savings values determined during the 2020-2023 Measure Assessment activities. Adjustments were made to account for changes in appliance mix and unit size, and revised values were established for heat pump water heaters as part of a new program.

Table 59: Tracked and Evaluated 2023 MHEEP Unitary Energy Savings Measure Tracked Savings [kWh/year] Evaluated Savings [kWh/year] Programmable Thermostats 221 No change Smart Thermostats with Electric Resistance Baseline 348 No change Smar...

AI summary Table 59 presents tracked and evaluated energy savings for the 2023 Mikmaw Home Energy Efficiency Project (MHEEP), showing discrepancies between tracked and evaluated savings for various measures, with some measures showing no change and others showing increased savings.

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

AI summary The document discusses peak demand savings for the Mikmaw Home Energy Efficiency Project (MHEEP), using a peak demand-to-energy ratio established by Navigant in the 2016-2018 DSM Plan. Heat pump measures are calculated separately starting in 2021. Table 60 summarizes tracked and evaluated unitary peak demand savings for various measures.

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

AI summary Interactive effects refer to how energy efficiency measures in a home may influence other energy consumption factors like heating and cooling. For the 2023 evaluation, certain measures such as programmable thermostats and drain water heat recovery systems were not modeled in HOT2000 and do not impact other energy consumption elements.

Table 61: Tracked and Evaluated 2023 MHEEP Equivalent EUL Values Measure Tracked Equivalent EUL [years] Evaluated Equivalent EUL [years] Building Envelopes 20.8 No change Space Heating Equipment Programmable Thermostats 10 No change Smart...

AI summary Table 61 provides tracked and evaluated Equivalent Useful Life (EUL) values for various energy efficiency measures under the Mikmaw Home Energy Efficiency Project (MHEEP) in 2023. Most measures show no change in their evaluated EUL values.

The modelled and non-modelled measures annual gross savings at the meter are presented in [Table](#page-121-0) 62 and [Table](#page-122-0) 63 below respectively. [Table](#page-122-1) 64 further below combines the savings of all MHEEP measu...

AI summary The text refers to tables that present annual gross savings from modelled and non-modelled measures, as well as the combined savings from the Mikmaw Home Energy Efficiency Project (MHEEP).

Table 64: Evaluated 2023 MHEEP Gross Energy and Peak Demand Savings Measure Category Modelled Non-modelled Total Energy Savings Gross Energy Savings – at the Meter (GWh) 0.502 0.024 0.526 Line Loss Factor 1.095 1.095 - Gross Energy Savings...

AI summary Table 64 provides an evaluation of the 2023 Mikmaw Home Energy Efficiency Project (MHEEP) gross energy and peak demand savings, distinguishing between modelled and non-modelled measures. It includes metrics such as gross energy savings at the meter and generator, line loss factors, and effective useful life of measures.

Table 65: Evaluated 2023 MHEEP Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 0.577 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annual GHG Emiss...

AI summary Table 65 evaluates the 2023 MHEEP Gross GHG emission reductions, showing 0.577 GWh of energy savings, a 551.9 tonnes of CO2 eq/GWh emissions factor, and a total of 318 tonnes of CO2 eq in annual emission reductions.

18.3.1 Evaluated Net Savings Net savings are defined as the energy savings specifically attributable to MHEEP. Since spillover and freeridership effects were considered nil, the net MHEEP impacts are equal to the gross savings generated by...

AI summary The MHEEP achieved 0.577 GWh and 0.373 MW in net energy and peak demand savings, respectively. It fell short of its energy savings target by 5% but exceeded its peak demand savings target by 24%. GHG emission reductions are equal to the gross annual reductions due to no spillover or freeridership effects.

18.4 Realization Rate A comparison of the energy and peak demand savings values established through this evaluation and those tracked by EOne is presented in [Table](#page-124-0) 66 below. The table also includes the realization rate, repr...

AI summary This section compares energy and peak demand savings values from an evaluation with those tracked by EOne, highlighting the realization rate as the ratio of evaluated net savings to tracked net savings for both energy and peak demand.

19 MHEEP Key Findings and Recommendations As mentioned previously, the main objectives of the 2023 MHEEP evaluation were as follows: › Calculate gross and net MHEEP results, namely electrical first-year and lifetime energy savings, peak de...

AI summary The 2023 MHEEP evaluation found that net electrical energy savings fell short of targets, while peak demand savings exceeded them. Participation and average savings per participant increased, leading to higher overall savings compared to 2022. Evaluator results were nearly identical to initial savings tracked by EOne, with minor differences due to revised savings values.

20.1 AMH Description AMH provides affordable housing owners and non-profit organizations, such as rehabilitation or transition houses, with incentives for building-wide energy retrofit projects with the intent of reducing electrical and no...

AI summary The Affordable Multifamily Housing (AMH) program provides incentives for energy retrofit projects in affordable housing and non-profit organizations, aiming to reduce energy consumption. Participants must complete a registration process and energy audit, with funding sourced from electricity ratepayers and the Province of Nova Scotia. Incentive amounts have been adjusted over time, and the program targets significant energy savings.

Table 67: 2023 AMH Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Using the adjustment ratio from the 2022 evaluat...

AI summary Table 67 outlines the 2023 evaluation approach for the Affordable Multifamily Housing (AMH) program. It includes objectives such as calculating gross and net results, research questions regarding data accuracy and energy savings, and methodologies like tracking sheet audits and calculations using a Net To Gross Ratio (NTGR) of 1.

22.2.1 Energy Savings In recent AMH evaluations, only minor adjustments were made to comprehensive project savings as a result of site visits and desk reviews. Therefore, the Evaluator elected to use the tracked savings as the evaluated sa...

AI summary In 2023, minor adjustments were made to AMH energy savings evaluations, with tracked savings used as evaluated savings. Energy savings for AMH prescriptive projects were calculated using the CIRx Screening Tool and full-load hours from previous analyses. The 2022 adjustment ratio of 0.998 ± 0.002 was reused for 2023, as no significant changes were identified.

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

AI summary Peak demand savings are calculated based on specific timeframes and methods for AMH projects. Energy models like HOT2000 and RETScreen are used for comprehensive projects, while the CIRx Screening Tool is used for prescriptive projects. An adjustment ratio was applied in 2023 for prescriptive heat pump projects based on 2022 evaluations.

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

AI summary Interactive effects refer to how energy efficiency measures in a home can influence other factors like heating and cooling. These effects are already considered in comprehensive projects through engineering calculations and simulation models, and the CIRx Tool accounts for them in prescriptive projects when applicable.

Table 68: 2023 AMH Equivalent EUL Values for Prescriptive Measures Measure Category Evaluated Equivalent EUL [years] Source Heating Systems 18 GDS, 200755 – Heat Pumps Lighting 5.7 Lifetime of 50,000 hours based on model specifications. As...

AI summary The document presents tables with Equivalent Useful Life (EUL) values for prescriptive and comprehensive energy efficiency measures in Affordable Multifamily Housing (AMH) in 2023. The tables include EUL values for heating systems, lighting, and appliance upgrades, along with sources and assumptions for the calculations.

Table 70: Evaluated 2023 AMH Gross Energy and Peak Demand Savings Comprehensive Prescriptive Total Heat Pumps Lighting Other Number of Projects 11 63 5 0 79 Energy Savings Tracked Gross Energy Savings – at the Meter (GWh) 0.118 1.162 0.057...

AI summary Table 70 evaluates the 2023 AMH gross energy and peak demand savings, including data on the number of projects, energy savings at the meter and generator, and peak demand savings. The table also includes factors such as line loss and effective useful life. Table 71 discusses GHG emissions reductions based on Nova Scotia-specific factors applied to AMH savings results.

Table 71: Evaluated 2023 AMH Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 1.460 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annual GHG Emissio...

AI summary Table 71 evaluates the 2023 gross GHG emission reductions from Affordable Multifamily Housing (AMH) programs. It calculates reductions based on energy savings and Nova Scotia-specific emissions factors, using data from Nova Scotia Power and Emera Inc.

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

AI summary The AMH program exceeded its electrical energy and peak demand savings targets by 17% and 118% respectively, with net savings equal to gross savings due to nil spillover and free-ridership effects.

22.4 Realization Rate [Table](#page-136-0) 72 below compares the energy and peak demand savings established through this evaluation to those calculated in the 2023 tracking sheet. It also includes the realization rate, representing the rat...

AI summary The text discusses the realization rate, comparing energy and peak demand savings from an evaluation to those in the 2023 tracking sheet. It highlights the ratio of evaluated net savings to tracked net savings for both energy and peak demand.

Table 72: Comparison of 2023 AMH Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 1.462 GWh 1.00 1.462 GWh 100% Evaluati...

AI summary Table 72 compares 2023 AMH tracked and evaluated savings at the generator. Energy savings tracked by EOne were nearly identical to evaluated results, while peak demand savings were 5% higher due to adjustment ratios applied during evaluation.

24.1 ASFH Description ASFH provides energy efficiency retrofits to income-qualified Nova Scotian homeowners at no cost to participants. The program component is marketed to all Nova Scotian's (both electric and non-electric homes) under th...

AI summary The Affordable Single-Family Home (ASFH) program provides free energy efficiency retrofits to income-qualified Nova Scotian homeowners. It includes building envelope measures, moisture management, and appliance replacements. The program is delivered by six delivery agents and uses energy advisors for assessments. Electrical savings are evaluated, and the program is branded as 'HomeWarming'.

Figure 40: ASFH Participation Process Summary Interested participants can apply to EOne directly or be referred by Housing Nova Scotia. - DAs, Housing Nova Scotia, or staff from other EOne programs identify potential participants. - Follow...

AI summary The Affordable Single-Family Housing (ASFH) program allows participants to apply directly to EOne or be referred by Housing Nova Scotia. DAs conduct energy assessments, schedule retrofits, and ensure upgrades are completed at no cost. Participants are also eligible for the Efficient Product Installation (EPI) program. The program aims to achieve 3.496 GWh in net electrical energy savings and 0.890 MW in net peak demand savings in 2023.

25 ASFH Evaluation Approach The 2023 evaluation consisted of a condensed impact evaluation. The main objectives of the 2023 ASFH evaluation were as follows: › Calculate gross and net ASFH results, namely electrical first-year and lifetime...

AI summary The 2023 evaluation of the Affordable Single-Family Housing (ASFH) program focused on calculating gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. Key research questions were identified to achieve these objectives, with methods and sample sizes outlined in Table 73.

26.2.1 Energy Savings The energy savings methodology for modelled and non-modelled measures are presented in this subsection.

AI summary This subsection outlines the energy savings methodology for both modelled and non-modelled measures within the context of energy efficiency programs.

Overestimation Ratios As indicated in the gross savings equations, ORs are used to adjust modelled space heating consumption values because the HOT2000 software tends to slightly overestimate savings. For the 2023 evaluation, the Evaluator...

AI summary Overestimation Ratios (ORs) are used to adjust modelled space heating consumption values because HOT2000 software slightly overestimates savings. OR values from the 2018 DSM Existing Residential evaluation are still considered valid for adjusting ASFH participant energy consumption in the 2023 evaluation.

Non-modelled Energy Savings Replaced appliances are not modelled in HOT2000. Instead, energy savings are calculated based on unitary energy savings values established as part of the 2020-2023 Measure Assessment activities. In addition, the...

AI summary The document discusses the calculation of non-modelled energy savings, particularly for replaced appliances and heat pumps. Energy savings are based on unitary values from the 2020-2023 Measure Assessment activities and the Green Heat approach for heat pumps. Table 75 summarizes the evaluated unitary savings values.

Table 75: 2023 Appliance Replacement Tracked and Evaluated Unitary Energy Savings Measure Tracked Savings [kWh/year] Evaluated Savings [kWh/year] Refrigerators 641 735 Freezers 1,686 2,006 Dehumidifiers 603 No change 61 M09096, E-5, 2018 D...

AI summary Table 75 presents the tracked and evaluated energy savings from appliance replacements in 2023, including refrigerators, freezers, and dehumidifiers. The evaluated savings are higher than the tracked savings for refrigerators and freezers, while dehumidifiers show no change.

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

AI summary Peak demand savings are calculated based on a specific ratio for space heating and separately for heat pump measures. The approach used by Navigant in the 2016-2018 DSM Plan was validated and used for estimation. Heat pumps required separate calculations to ensure accuracy.

[Table](#page-144-0) 76 summarizes the tracked and evaluated peak demand unitary energy savings values for those measures. Table 76: 2023 Appliance Replacement Tracked and Evaluated Unitary Peak Demand Savings Tracked Savings [W/year] Eval...

AI summary Table 76 summarizes the tracked and evaluated peak demand unitary energy savings values for appliance replacement measures in 2023. Refrigerators and freezers show increases in evaluated savings compared to tracked savings, while dehumidifiers show no change. Section 26.2.3 discusses interactive effects related to these measures.

26.2.5 Evaluated Gross Savings The modelled and non-modelled measure annual gross savings at the meter are presented in [Table](#page-146-0) 77 and [Table](#page-146-1) 78 below respectively. As presented in [Table](#page-122-0) 63 above,...

AI summary The document discusses evaluated gross savings, presenting modelled and non-modelled measure annual gross savings at the meter and generator. Line loss factors provided by NS Power are used to estimate savings at the generator, corresponding to values submitted to the NSUARB in the 2014 Cost of Service Study Progress Update.

Table 77: Evaluated 2023 ASFH Modelled Measure Gross Energy and Peak Demand Savings Total Energy Savings Gross Energy Savings Without Overestimation Ratio (OR) – at the Meter (GWh) 1.512 Gross Energy Savings with OR – at the Meter (GWh) 1....

AI summary The tables present energy and peak demand savings for the Affordable Single-Family Housing (ASFH) program in 2023, including modelled and non-modelled measures. The data includes gross energy savings, effective useful life, and peak demand savings, with adjustments for overestimation ratios and line loss factors.

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

AI summary The document evaluates the net savings of the Affordable Single-Family Homes (ASFH) program, noting that it fell short of its electrical energy and peak demand savings targets by 59% and 30% respectively. Net savings are defined as energy use changes directly attributable to the program, with no spillover or free-ridership effects considered.

26.4 Realization Rate [Table](#page-148-1) 81 below compares the energy and peak demand savings established through this evaluation to those calculated in the 2023 tracking sheet. It also includes the realization rate, representing the rat...

AI summary The section discusses the realization rate, comparing energy and peak demand savings from the current evaluation to those in the 2023 tracking sheet, with a focus on the ratio of evaluated net savings to tracked net savings.

Table 81: Comparison of 2023 ASFH Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 1.439 GWh 1.00 1.439 GWh 100% Evaluat...

AI summary The table compares tracked and evaluated energy and peak demand savings for the 2023 Affordable Single-Family Housing (ASFH) program. Evaluated savings by the Evaluator were slightly higher than the initial savings tracked by EOne, with differences less than 1% due to revised prescriptive unitary savings values for appliance replacement measures.

27 ASFH Key Findings and Recommendations As mentioned previously, the main objectives of the 2023 ASFH evaluation were as follows: › Calculate gross and net ASFH results, namely electrical first-year and lifetime energy savings, peak deman...

AI summary The 2023 Affordable Single-Family Homes (ASFH) program underperformed its energy and peak demand savings targets by 59% and 30%, respectively. Only 1.444 GWh in net electrical energy savings and 0.627 MW in net peak demand savings were achieved, compared to the planned 3.496 GWh and 0.890 MW. The Evaluator found that savings were slightly higher than initial estimates due to revised prescriptive unitary savings values.

CONCLUSION [Table](#page-150-0) 82 presents the participation levels, net-to-gross ratios (NTGRs), evaluated gross and net savings at the generator, annual GHG emission reductions, as well effective useful life (EUL) values for each progra...

AI summary Table 82 outlines participation levels, net-to-gross ratios, evaluated savings, GHG emission reductions, and effective useful life values for various program components and the Existing Residential category.

Table 82: Overall 2023 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit HEA Energy Savings 4,085 Participants 30.581 GWh 0.85 25.966 GWh Life...

AI summary Table 82 presents the participation levels and energy savings for various residential programs in 2023, including HEA, Green Heat, EPI, MHEEP, AMH, and ASFH. The table highlights gross and net energy savings, peak demand savings, GHG emission reductions, and effective useful life for each program.

Home Energy Assessment Appendix I HEA Participant Survey Questionnaire Appendix II HEA Participant Survey Results Appendix III HEA Tracking Sheet Audit Appendix IV HEA Detailed Methodology and Billing Analysis Results Appendix V HEA Algori...

AI summary The document contains appendices related to the Home Energy Assessment (HEA), including survey questionnaires, results, tracking sheets, methodology, free-ridership calculations, spillover analysis, reporting requirements, and 2023 recommendations.

Efficient Product Installation Appendix XVI EPI Tracking Sheet Audit Appendix XVII EPI 2023 Recommendations

AI summary The document contains appendices related to the Efficient Product Installation (EPI) program, including an audit of the EPI tracking sheet and 2023 recommendations for the EPI program.

[1 = YES, RECOMMENDED, 2 = NO, NOT RECOMMENDED, 98 = DON'T KNOW / DON'T REMEMBER, 99 = REFUSED] [READ] - a. Any type of heat pump, including mini-split, central or geothermal - b. Insulation including attic, ceiling, exterior wall, exposed...

AI summary The document lists eligible energy efficiency measures, including heat pumps, insulation, windows, ventilation systems, and solar PV systems, among others, that may be supported under a program.

[1 = YES, INSTALLED, 2 = NO, NOT INSTALLED, 98 = DON'T KNOW / DON'T REMEMBER, 99 = REFUSED] [READ] - a. Any type of heat pump, including mini-split, central or geothermal - b. Insulation including attic, ceiling, exterior wall, exposed flo...

AI summary The text outlines a series of questions related to energy efficiency upgrades in homes, including the types of upgrades installed, whether they were part of an extension or major renovation, and the impact of these upgrades on the usage of fireplaces or wood stoves.

- C6. If there were no solar PV rebate, what is the likelihood that you would have postponed your solar PV installation by at least one year? Response 98 Don't Know 99 Refused C7. I would like you to rate the importance of the following th...

AI summary The text includes a question about the likelihood of postponing solar PV installation without a rebate and asks respondents to rate the importance of factors influencing their decision. It also references a section on free-ridership related to home performance and energy efficiency upgrades.

[ASK IF OTHER EE UPGRADES INSTALLED = YES] Now I'm going to ask you to think of energy efficient upgrades [IF SOLAR PV INSTALLED – [B1I](#page-160-2)=1 OR [B4I](#page-161-0)=1 AND [(B2=](#page-160-0)2 OR [B3=](#page-160-1)1) SHOW: except S...

AI summary This section asks respondents about pre-existing plans for energy-efficient upgrades, confirmation of decisions made before evaluation, and the impact of rebates on their willingness to pay for upgrades installed through the Home Energy Assessment program.

[DO NOT ACCEPT A RANGE – ASK E4TO E6SEQUENCE IN ORDER/DO NOT RANDOMIZE] E4. If there were no program, what is the likelihood that you would have installed exactly the same quantity of energy efficiency upgrades that were installed through...

AI summary The question asks about the likelihood of installing the same quantity of energy efficiency upgrades without the program, highlighting a key concern in evaluating the program's impact and effectiveness.

0-10 SCALE WITH END POINT LABELS – RECORD NUMBER - 98. Don't Know - 99. Refused - E5. [IF B8=2, 98,99 AND [D1=](#page-164-0)3, 98, 99 OR [D2=](#page-165-0)2, 98, 99] If there were no program, which of the following actions would you have t...

AI summary The text presents a survey question asking respondents what action they would have taken if there were no program, with options including keeping existing systems, purchasing new systems, or buying a heat pump. The question is part of a 0-10 scale with endpoint labels and includes response codes.

- E7. If there were no program, what is the likelihood that you would have postponed the installation of the energy efficient upgrades by at least one year? Response 98 Don't Know 99 Refused E8. I would like you to rate the importance of t...

AI summary The text presents a question regarding the likelihood of postponing energy efficient upgrades without a program and asks respondents to rate the importance of factors influencing their decision. The responses are largely unknown or refused, and the section is labeled as 'Cross-Influence'.

[READ AND ROTATE [(F1](#page-169-0) + [F2-](#page-170-0)[F4)](#page-170-1) AND [(F5](#page-170-2) + [F6-](#page-171-0)[F8)](#page-171-1) SEQUENCES] - F1. Before participating in the Home Energy Assessment program in 2023, had you at any ti...

AI summary The text presents a series of survey questions aimed at assessing the impact of Efficiency Nova Scotia programs and promotions on participants' decisions to install energy-efficient upgrades and seek home energy assessments. Questions focus on past participation and the influence of prior engagement with Efficiency Nova Scotia.

[ASK SECTION IF [B2](#page-160-0) = 1 OR 3, OR IF [B3](#page-160-1) = 2, OR IF ANY OF [B4](#page-161-0) = 2.] You mentioned in a previous answer that there were some recommended upgrades that you decided not to install through the Home Ene...

AI summary This section asks participants in the Home Energy Assessment program whether they installed any recommended upgrades on their own after participating in the program, and if so, which ones. It also inquires about receiving rebates from other Efficiency Nova Scotia programs and the influence of the Home Energy Assessment program on their decisions to install upgrades.

[0-10 SCALE WITH END POINT LABELS – RECORD NUMBER] - 98. Don't Know - 99. Refused - H3. [I[F H2<](#page-173-0)8] What was the main reason you were not more satisfied with the program overall? [PROBE FOR SPECIFIC REASON. RECORD FIRST MENTIO...

AI summary The text presents a survey questionnaire focusing on participant satisfaction with the Home Energy Assessment program, including questions about reasons for dissatisfaction and satisfaction levels with various aspects of the program.

B1A-B1I. [Recommended upgrades for home - % YES] Can you please tell me if any of the following upgrades were recommended for your home by the energy advisor? 2023 Recommended Implemented Sample Size 100 100 Any type of heat pump, includin...

AI summary The document presents survey data on energy efficiency upgrades recommended for homes in Nova Scotia. It includes percentages of homes where upgrades were recommended and implemented, and details on installation rates, whether upgrades were part of house extensions or major renovations.

B6. Did you have a fireplace or wood stove in place before having your home evaluated by an energy advisor? 2023 Sample Size 100 Yes, a fireplace 30% Yes, a wood stove 30% No 45% Don't Know 2% B7A. How, if at all, did usage of your [firepl...

AI summary The data shows that 30% of respondents had a fireplace or wood stove before an energy evaluation in 2023. Usage of fireplaces did not significantly change after energy efficiency upgrades for most respondents, with 73% reporting no change. A small percentage noted a decrease in usage, while 10% reported an increase.

B7B. How, if at all, did usage of your [wood stove] change after you installed your energy efficiency upgrades? Did it …: 2023 Sample Size 30 Significantly increase 10% Somewhat increase 10% Somewhat decrease 20% Significantly decrease 13%...

AI summary The data shows that after installing energy efficiency upgrades, 20% of respondents reported a decrease in wood stove usage, while 10% reported an increase. The majority (37%) indicated no change, and 10% were unsure. The sample size was 30, with responses categorized as significantly or somewhat increased or decreased.

2023 Sample Size 10 MEAN 4.7 Base: Respondents who decided to install and purchase a heat pump before home evaluation

AI summary The chunk presents a statistical summary with a sample size of 10 and a mean of 4.7, focusing on respondents who decided to install and purchase a heat pump before a home evaluation.

D6. Were you aware that high efficiency heat pumps that operate at temperatures below -15°C were available, before you had your home evaluated by an energy advisor? 2023 Sample Size 9 (#) Yes 5 No 4 D7. Before you had your home evaluated b...

AI summary The document asks respondents if they were aware of high efficiency heat pumps operating below -15°C before an energy advisor evaluation and whether they had decided to install such a model. In 2023, 5 out of 9 respondents were aware, and all 5 who decided to install a high-efficiency heat pump had already made that decision prior to evaluation.

E. Free-ridership – Other/Multiple EE Upgrades E1/E2. Did you already have plans to install the energy efficient upgrades that were installed through the program, BEFORE having your home evaluated by an energy advisor? Did you … Just to co...

AI summary The text asks whether the respondent had already planned to install energy efficiency upgrades before an energy advisor evaluated their home, seeking confirmation on the timing of their decisions.

2023 2020 Sample Size 63 68 Have plans to install all of the upgrades 57% 56% Have plans to install some of the upgrades 5% 6% Have no plans to install any of the upgrades 35% 38% Don't know 3% 0% E3. Efficiency Nova Scotia gave you a reba...

AI summary The data shows a slight increase in the percentage of respondents who plan to install all energy efficiency upgrades from 56% in 2020 to 57% in 2023. A mean score of 5.5 on a 0-10 scale indicates that, on average, respondents would have paid about half the cost of energy efficiency upgrades without the rebate. This reflects the importance of financial incentives in encouraging energy efficiency measures.

E4. If there were no program, what is the likelihood that you would have installed exactly the same quantity of energy efficiency upgrades that were installed through the program? 2023 Sample Size 63 MEAN 4.1 Base: Respondents who installe...

AI summary The question asks about the likelihood of installing the same quantity of energy efficiency upgrades without the program, based on a 2023 survey with a sample size of 63 and a mean response of 4.1. The base is respondents who installed other energy efficiency upgrades.

E7. If there were no program, what is the likelihood that you would have postponed the installation of the energy efficient upgrades by at least one year? 2023 Sample Size 63 MEAN 5.8 Base: Respondents who installed other EE upgrades

AI summary The question asks about the likelihood of postponing energy efficient upgrades by at least one year if there were no program. The data from 2023 shows a sample size of 63 and a mean of 5.8, based on respondents who installed other energy efficiency upgrades.

2023 Sample Size Sample Size Mean The rebates offered for the energy efficiency upgrades 63 7.7 Expert information or advice from the energy advisor who came to your home to conduct the energy assessment 63 7.3 Information or recommendatio...

AI summary The table presents survey results on energy efficiency upgrades, including rebate satisfaction, advice from energy advisors, and information from Renovation Upgrade Reports. The data is based on responses from individuals who installed other energy efficiency upgrades.

F1. Before participating in the Home Energy Assessment program in 2023, had you at any time in the past participated in any Efficiency Nova Scotia program? 2023 Sample Size 100 Yes 35% No 64% Don't know 1% &# x27;Don't know' and 'Refused'...

AI summary The Home Energy Assessment program in 2023 asked participants if they had previously participated in any Efficiency Nova Scotia program. Of the 100 respondents, 35% had participated, 64% had not, and 1% were unsure.

F2. Your previous participation in an Efficiency Nova Scotia program was a major factor in your decision to install energy efficient upgrades in your home. 2023 Sample Size 35 Agree 66% Disagree 31% Don't know 3% Base : Respondents who pre...

AI summary The text discusses how participation in an Efficiency Nova Scotia (ENS) program significantly influenced a respondent's decision to install energy-efficient upgrades in their home. A survey of 35 participants showed that 66% agreed with this statement, while 31% disagreed and 3% were unsure.

F3. Because of your previous participation in an Efficiency Nova Scotia program and what you learned by participating in the program, you asked for an energy assessment of your home. 2023 Sample Size 35 Agree 80% Disagree 20% Base : Respon...

AI summary The text discusses a home energy assessment request made by an individual who previously participated in an Efficiency Nova Scotia program. A survey from 2023 shows that 80% of respondents agreed with something, while 20% disagreed, based on a sample size of 35 participants who had previously taken part in ENS programs.

F4. Because of your previous participation in an Efficiency Nova Scotia program and what you learned by participating in the program, you took into account the savings on your energy bill when evaluating different upgrades for your home.

AI summary The text discusses how a participant's prior involvement in an Efficiency Nova Scotia program influenced their decision-making regarding home energy upgrades, considering the savings on their energy bill.

F5. Before participating in the Home Energy Assessment program in 2023, had you at any time in the past seen Efficiency Nova Scotia advertisements or information discussing the benefits of energy efficiency?

AI summary This question asks whether the respondent had seen Efficiency Nova Scotia advertisements or information about energy efficiency benefits before participating in the Home Energy Assessment program in 2023.

F7. The promotion of energy efficiency by Efficiency Nova Scotia prompted you to ask for an energy assessment of your home. 2023 Sample Size 83 Agree 87% Disagree 13% Base : Respondents who previously have seen ENS advertisements or inform...

AI summary Efficiency Nova Scotia's promotion of energy efficiency led to a home energy assessment request. In 2023, 87% of respondents who had seen ENS advertisements agreed with the promotion, while 13% disagreed.

F8. The promotion of energy efficiency by Efficiency Nova Scotia prompted you to take into account the savings on your energy bill when evaluating different upgrades for your home. 2023 Sample Size 83 Agree 88% Disagree 12% Base : Responde...

AI summary Efficiency Nova Scotia's promotion of energy efficiency has influenced homeowners to consider energy bill savings when evaluating home upgrades, with 88% of respondents agreeing based on a sample size of 83.

G1. Since the time that you participated in the Home Energy Assessment program, have you installed one or more of the recommended upgrades on your own? 2023 2020 Sample Size 65 50 Yes 29% 16% No 71% 84% Base : Respondents who did not insta...

AI summary The question asks whether participants in the Home Energy Assessment program have installed recommended upgrades since their participation. The table shows that in 2023, 29% of respondents installed upgrades, compared to 16% in 2020, with the majority not installing all recommended upgrades.

G2. Which upgrades have you installed on your own after participating in the Home Energy Assessment program? 2023 2020 Sample Size 19 8 (#) Insulation including attic, ceiling, exterior wall, exposed floor, basement, crawlspace, or foundat...

AI summary The text presents data on upgrades installed by participants in the Home Energy Assessment program, showing that insulation was the most common upgrade in 2023, followed by air sealing, windows, and solar PV systems, with notable differences between 2023 and 2020.

G3. Have you received rebates from other Efficiency Nova Scotia programs for the energy efficiency upgrades you installed on your own after participating in the Home Energy Assessment program? 2023 2020 Sample Size 19 8 (#) Yes 11% - No 89...

AI summary The question asks whether participants in the Home Energy Assessment program received rebates from other Efficiency Nova Scotia programs for energy efficiency upgrades they installed on their own. The data shows that in 2023, 11% of respondents received rebates, while 89% did not. In 2020, no responses were recorded for this question.

G4. How influential was your experience with the Home Energy Assessment program on your decision to install some or all of the measures that you installed after participating in the program? Please give your answer on a scale of 0 to 10, w...

AI summary The text asks participants to rate how influential their experience with the Home Energy Assessment program was in their decision to install energy efficiency measures, using a scale from 0 to 10.

2023 2020 Sample Size 17 8 MEAN 7.5 6.1 Base: Respondents who installed upgrades after participating in HEA and did not receive rebates from other ENS program

AI summary The table compares the mean values for two years, 2023 and 2020, with sample sizes of 17 and 8 respectively. The data pertains to respondents who installed upgrades after participating in HEA and did not receive rebates from other ENS programs.

H. Satisfaction H1. [NET PROMOTER SCORE] Using a 0 to 10 scale, where 0 means "Definitely would not" and 10 means "Definitely would", what is the likelihood that you would recommend the Home Energy Assessment program to a friend or colleag...

AI summary This section asks respondents to rate their likelihood of recommending the Home Energy Assessment program on a 0 to 10 scale, with 0 indicating 'Definitely would not' and 10 indicating 'Definitely would'.

H2. Using a scale from 0 to 10 where 0 is "Not at all satisfied" and 10 is "Completely satisfied", how would you rate your satisfaction with the Home Energy Assessment program overall? 2023 Sample Size 100 10 - Completely satisfied 40% 9 9...

AI summary The Home Energy Assessment program received high satisfaction ratings, with 72% of respondents rating it 8, 9, or 10 out of 10. The mean satisfaction score was 8.3, based on a sample size of 100 in 2023.

H3. What was the main reason you were not more satisfied with the program overall? 2023 Sample Size 27 Too long to get the money/rebate 44% Difficulty getting information/Trying to get information from the website 22% Program requirement/E...

AI summary The main reasons respondents were not more satisfied with the Home Energy Assessment program included difficulty in receiving rebates, unclear eligibility criteria, and issues with the program's website and information delivery. These factors contributed to overall dissatisfaction with the program.

H4A. On a scale of 0 to 10, where 0 is "Not at all satisfied" and 10 is "Completely satisfied," how satisfied were you with each of the following aspects of the Home Energy Assessment program? Please indicate if any are not applicable to y...

AI summary The text asks respondents to rate their satisfaction with the Home Energy Assessment program on a scale from 0 to 10, indicating how satisfied they were with various aspects of the program and whether any aspects are not applicable to them.

H4B. On a scale of 0 to 10, where 0 is "Not at all satisfied" and 10 is "Completely satisfied," how satisfied were you with each of the following aspects of the Home Energy Assessment program? Please indicate if any are not applicable to y...

AI summary The text asks participants to rate their satisfaction with the Home Energy Assessment program on a scale from 0 to 10, indicating how satisfied they were with various aspects of the program.

The initial home energy assessment overall 2023 Sample Size 100 10 - Completely satisfied 42% 9 17% 8 21% 7 12% 6 2% 5 3% 4 1% 3 1% 2 0% 1 0% 0 - Not at all satisfied 1% Not applicable 0% Don't know/Don't recall 0% Refused 0% SATISFIED % (...

AI summary The document presents survey results on customer satisfaction with the Home Energy Assessment program in 2023, with high satisfaction levels across multiple aspects of the program, including the initial and final assessments, as well as the expertise of energy advisors.

H4F. On a scale of 0 to 10, where 0 is "Not at all satisfied" and 10 is "Completely satisfied," how satisfied were you with each of the following aspects of the Home Energy Assessment program? Please indicate if any are not applicable to y...

AI summary The text asks respondents to rate their satisfaction with the Home Energy Assessment program on a scale from 0 to 10, with 0 being 'Not at all satisfied' and 10 being 'Completely satisfied.'

Any communications you had with your energy advisor 2023 Sample Size 100 10 - Completely satisfied 49% 9 16% 8 11% 7 7% 6 3% 5 6% 4 0% 3 4% 2 0% 1 0% 0 - Not at all satisfied 1% Not applicable 2% Don't know/Don't recall 1% Refused 0% SATIS...

AI summary The text presents survey results from 2023 regarding customer satisfaction with the Home Energy Assessment program and communications with energy advisors. The overall satisfaction with energy advisors was high, with 76% of respondents indicating satisfaction (ratings 8-10) and a mean score of 8.6. Satisfaction with the rebate amount was lower, with 62% satisfied (mean 7.8), and satisfaction with the program's website was the lowest, with 41% satisfied (mean 7.1).

H5. Do you have any recommendations for improving the Home Energy Assessment program? Anything else? 2023 Sample Size 100 Speed up the process 17% Simplify program application, forms, and associated paperwork 12% Improve communication/foll...

AI summary The Home Energy Assessment program received feedback from 100 respondents in 2023, with 17% suggesting speeding up the process, 12% recommending simplifying application procedures, and 8% suggesting improved communication. The majority (46%) had no recommendations.

Table 1: 2023 HEA Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value HEA Gross Energy Savings at the Generator 32.606 GWh 30.584 GWh -6.2% Gross...

AI summary Table 1 presents corrected tracked savings for the 2023 HEA, showing a decrease in gross energy and peak demand savings, while net energy savings slightly increased. Minor discrepancies are attributed to rounding differences.

APPENDIX IV HEA Detailed Methodology and Billing Analysis Results

AI summary This appendix provides a detailed methodology and billing analysis related to the Home Energy Assistance (HEA) program. It outlines the approach used to assess energy usage, costs, and the impact of energy efficiency measures on residential customers.

Background A billing analysis was conducted for HEA as part of the 2023 DSM evaluation to obtain measured electrical energy savings generated through the installation of energy efficiency upgrades. Instead of calculating overestimation rat...

AI summary A billing analysis for HEA was conducted as part of the 2023 DSM evaluation to measure electrical energy savings from energy efficiency upgrades. The Evaluator plans to use billing data to develop adjustment ratios for HOT2000 savings estimates, rather than using overestimation ratios for space heating consumption. This change is recommended due to increased heat pump usage, the impact of the pandemic, and growing complexity in the current approach.

Methodology To assess the electrical energy savings obtained from HEA energy efficiency upgrades, the billing analysis consisted of calculating the change in electrical energy consumption before (pre) and after (post) participation in HEA...

AI summary The methodology section describes how electrical energy savings from the Home Energy Assistance (HEA) program are assessed by comparing pre- and post-participation consumption in a treatment group with a control group, ensuring savings are attributable only to HEA. Savings are then compared with HOT2000 values to determine adjustment ratios.

Selection of the Treatment and Control Groups The initial treatment group included 886 HEA participants who were selected based on the following criteria: - › Be 100% electrically heated according to HOT2000 (meaning that the primary heati...

AI summary The treatment group consists of 886 HEA participants selected based on specific criteria, including being 100% electrically heated and using HOT2000 version 11.10 or 11.11. The control group includes 2,315 past HEA participants with similar characteristics to ensure a matched comparison, using actual billing data rather than modelled consumption for analysis.

Billing Data Preparation Billing data for all treatment group and control group participants were retrieved by EOne from the Nova Scotia Power (NS Power) system. The data consisted of bimonthly bills from 2017 to 2023. Before performing th...

AI summary Billing data from 2017 to 2023 was retrieved for treatment and control groups by EOne from NS Power. Data with inconsistencies, such as nil consumption or extreme consumption variations, were excluded. After filtering, 542 treatment participants remained, representing about 40% of the original sample. Control group data followed similar exclusion criteria.

Weather Normalization The Evaluator normalized the consumption values obtained from the electrical bills using normal weather data to obtain annual consumption values that are aligned with a typical meteorological year. A regression was us...

AI summary The Evaluator used weather normalization techniques to adjust energy consumption data from electrical bills, aligning them with a typical meteorological year. Regression analysis was applied to relate consumption to heating and cooling degree days, with multiple iterations to determine the most suitable balance temperature. Normal degree days were calculated using data from the previous 15 years (2008-2023) for five selected weather stations.

Results Once the main steps of the billing analysis were completed, the Evaluator conducted several analyses to interpret the data but determined that the results were not conclusive. Overall, the savings are very low, even negative for so...

AI summary The billing analysis found low or negative savings in some scenarios, with participants who used less electricity before the program showing increased usage afterward. The Evaluator could not fully explain these results, leaving some savings uncertain.

Table 2: Results Analyzed by Heat Pump Scenario Scenario Sample Size Pre-consumption (kWh/year) Post-consumption (kWh/year) Difference (kWh/year) A participant who registered with a heat pump Treatment Group 163 16,854 17,498 (644) Control...

AI summary Table 2 presents results from heat pump scenarios, comparing pre- and post-consumption energy usage in treatment and control groups. The data shows varying impacts of heat pump installation on energy consumption across different participant categories.

Billing Data Interpretation EOne sent the Evaluator NS Power billing data to which it has access, and EOne answered the Evaluator's questions on data interpretation as best as they could, although several questions remained unanswered, and...

AI summary EOne provided billing data from NS Power for analysis, but the Evaluator raised concerns about data reliability during the transition to smart meters and the handling of various billing scenarios. Approximately 20% of the sample was excluded due to anomalies, and weather normalization had minimal impact on results.

Participant Behaviour The other factors that add to the complexity of the data analysis are related to participant behaviour potentially driven by HEA. Indeed, HEA can generate effects other than the simple implementation of energy efficie...

AI summary The analysis highlights how participant behavior, influenced by the Home Energy Assistance (HEA) program, may affect energy savings estimates. Behavioral changes, such as reduced use of supplemental heating systems and home renovations, can impact the accuracy of savings calculations based on electricity bills. These factors were identified through surveys and may not be fully captured in billing data.

Table 1: Free-Ridership Algorithm for Solar PV C3. If you had not received the rebate from Efficiency Nova Scotia, would you have paid the full cost of your solar PVsystem? (Scale 0 to 10) C3 = Answer x 10% IF DK OR REF: C3 = EMPTY C4. If...

AI summary The document outlines a free-ridership algorithm used to assess whether participants in the Solar PV program would have installed the system without the rebate. It includes questions and scoring mechanisms to evaluate the influence of the rebate and previous participation in Efficiency Nova Scotia programs.

Table 2: Free-Ridership Algorithm for Heat Pump and No Other Energy-efficient Upgrades Series A: Questions on the decision to install a heat pump E3. If you had not received the rebate from Efficiency Nova Scotia, would you have paid the e...

AI summary This table outlines a free-ridership algorithm used to assess the likelihood that a customer would have installed energy efficiency upgrades, specifically heat pumps, without program incentives. It includes questions and scoring mechanisms to evaluate pre-program intentions and influences.

Table 1: Spillover INTRO. G Section asked to participants who have not implemented all the energy IF Upgrades left: CONTINUE efficiency upgrades recommended in their assessment report through HEA. IF All upgrades were implemented through H...

AI summary This section presents a table and appendix related to the Home Energy Assistance (HEA) program, focusing on participant behavior after receiving energy efficiency recommendations. It includes questions about upgrades installed independently, financing sources, and the influence of HEA on subsequent actions, with calculations for spillover savings and attribution levels.

This appendix summarizes all the recommendations made by the Evaluator as part of the 2023 HEA evaluation. Section Recommendations Executive Summary Recommendation #1: Continue exploring the factors potentially responsible for the inconclu...

AI summary This appendix summarizes recommendations from the 2023 HEA evaluation, including the need to explore factors affecting billing analysis results and reconsider evaluation approaches for 2024 due to changes in program participant characteristics.

INTRODUCTION Could I speak with ? - 1. Yes [CONTINUE] - 2. No [SAY "PERHAPS YOU CAN HELP ME ANYWAY." CONTINUE] Hello, my name is ____________________ from Narrative Research, a Halifax based survey research company. We are performing an ev...

AI summary The introduction outlines a survey conducted by Narrative Research on behalf of Efficiency Nova Scotia to evaluate the Heating System Rebates program. Participants are contacted to provide feedback on their experience with the program, which offers rebates for home heating equipment installations.

- A2. Our records indicate that your household installed a and a through the Heating System Rebates program. Is this correct? - 1. Yes [CONTINUE TO [A3]](#page-19-2) - 2. No, does not recall participating [PROBE: Are you sure? According to...

AI summary The text is a form asking a household if they installed specific heating equipment through the Heating System Rebates program, with options to confirm or deny and proceed accordingly.

[IF REFUSED, ASK "CAN WE SCHEDULE A MORE CONVENIENT TIME FOR YOU TO CONDUCT THIS SURVEY?"] [SCHEDULED, IF NECESSARY, FOR:] A3. [ASK IF YES AT [A2](#page-19-1) = 1 OR 2 AFTER PROMPT] For purposes of this survey, keep only the clearly in you...

AI summary The text outlines a survey process involving equipment selection and electricity rate inquiries, focusing on time-of-day rates with Nova Scotia Power.

B. Awareness and Motivations for Participating - B1. How did you first become aware of the Heating System Rebates program? [DO NOT READ. SINGLE RESPONSE] - 1. In-store signage - 2. Retailer flyer - 3. Email - 4. Through a contractor or ins...

AI summary The text outlines survey questions about awareness and motivations for participating in the Heating System Rebates program, including how respondents learned about the program and their reasons for participation, such as energy savings, comfort, and environmental concerns.

Series B: Questions on the decision to install a high-efficiency heat pump Only high-efficiency heat pump models are eligible for a rebate under the Heating System Rebates program, so the heat pump you have installed is much more efficient...

AI summary The text discusses a survey regarding the installation of high-efficiency heat pumps, focusing on customer awareness and decision-making influenced by rebate programs. It includes questions about prior knowledge of high-efficiency models and whether the rebate influenced the decision to purchase.

C10. I would like you to rate the influence of the following three factors in your decision to install a highefficiency heat pump. Use a scale from 0 to 10 where 0 is "No influence" and 10 is "Great influence". The first factor is… [READ A...

AI summary The text presents a survey question asking respondents to rate the influence of three factors on their decision to install a high-efficiency heat pump. The factors include program rebates and information provided by Efficiency Nova Scotia and retailers. The survey also transitions to a section on free-ridership related to biomass.

[ASK [D1](#page-25-2) TO [D7](#page-26-0) IF EQUIPMENT = WOOD STOVE, PELLET STOVE, WOOD FURNACE OR WOOD FIREPLACE IN SAMPLE] - D1. Moving along to another topic… Had you already decided to install a before you heard about the Heating Syste...

AI summary This section of the document includes a series of questions related to the Heating System Rebates program, focusing on whether respondents had already decided to install certain heating equipment before learning about the program and how the rebate influenced their decision.

[DO NOT ACCEPT A RANGE – ASK [D4](#page-26-1) TO [D6](#page-26-2) SEQUENCE IN ORDER/DO NOT RANDOMIZE] D4. If there were no Heating System Rebates program, what is the likelihood that you would have installed an electrical heating system in...

AI summary The question asks about the likelihood of installing an electrical heating system instead of the equipment installed through the Heating System Rebates program if the program did not exist.

0-10 SCALE WITH END POINT LABELS– RECORD NUMBER [VOLUNTEERED] - 98. Don't Know - 99. Refused - D5. If there were no Heating System Rebates program, what is the likelihood that you would have kept your old heating system instead of installi...

AI summary This text presents a survey question asking respondents about the likelihood of keeping their old heating system if there were no Heating System Rebates program. It includes response options such as 'Don't Know' and 'Refused'.

[VOLUNTEERED] - 98. Don't know - 99. Refused - E2. Had you already decided to install a before you heard about the Heating System Rebates program? - 1. Yes - 2. No - 98. Don't know - 99. Refused - E3. [I[F E2=](#page-27-1)1] Just to confir...

AI summary The text contains survey questions related to customer participation in the Heating System Rebates program, including whether they had already decided to install equipment before learning about the program and how the rebate influenced their decision.

[VOLUNTEERED] - 98. Don't Know - 99. Refused - E6. If there were no Heating System Rebates program, what is the likelihood that you would have postponed installing the by at least one year?

AI summary The text presents a survey question asking respondents about the likelihood of postponing the installation of equipment if the Heating System Rebates program were not available, with options for 'Don't Know' and 'Refused'.

Factor [READ AND RANDOMIZE] Responses a. The program rebate Response 98 Don't Know Refused b. Information provided by Efficiency Nova Scotia Response 98 Don't Know Refused c. The bill savings available through Nova Scotia Power's time-of-d...

AI summary The text presents responses to questions about a program rebate, information provided by Efficiency Nova Scotia, and bill savings from Nova Scotia Power's time-of-day rate, with most respondents indicating they don't know or refusing to answer. It also references a section on cross-influence.

[VOLUNTEERED] - 98. Don't know - 99. Refused - F3. [IF [F1=](#page-28-3)1] Because of your previous participation in an Efficiency Nova Scotia program and what you learned by participating in this program, you asked a contractor or a distr...

AI summary This section presents a survey question related to participant engagement in an Efficiency Nova Scotia program, asking if prior participation influenced inquiries about energy-efficient heating systems.

[VOLUNTEERED] - 98. Don't know - 99. Refused - F8. [I[F F5=](#page-29-0)1] The promotion of energy efficiency carried out by Efficiency Nova Scotia prompted you to take into account the savings on your energy bill when evaluating different...

AI summary The text presents a survey question regarding whether Efficiency Nova Scotia's energy efficiency promotions influenced a respondent's consideration of energy bill savings when evaluating heating systems for their home.

[DO NOT ASK SECTION H IF = ELECTRIC THERMAL STORAGE] - H1. Moving along … Before today, did you know of, or had you ever heard of Efficiency Nova Scotia's Home Energy Assessment Program? The program provides rebates on heat pumps, insulati...

AI summary The text discusses the Home Energy Assessment Program by Efficiency Nova Scotia, which provides rebates for energy efficiency improvements. It asks participants how they learned about the program and whether they considered it over other rebate programs like Heating System Rebates.

[DO NOT READ] - 1. My contractor or installer - 2. An Efficiency Nova Scotia Energy Solutions advisor - 3. Shorter wait times with Heating System Rebates - 4. Heating System Rebates is simpler to understand than the Home Energy Assessment...

AI summary The text outlines factors influencing participation in energy efficiency programs, such as recommendations from contractors, advisors, and personal experiences with rebate programs. It also includes response options for survey participants.

I. Recommendations for Program Improvements - I1. Now thinking exclusively about the Heating System Rebates program, do you have any recommendations for improving the program? [PROBE] Anything else? [DO NOT READ. ACCEPT MULTIPLE KEEPING CO...

AI summary The document outlines recommendations for improving the Heating System Rebates program, including increasing rebate amounts, expanding eligible equipment, simplifying application processes, and enhancing program advertising and online portals.

C1. Prior to installing your heat pump, did you already have a working air conditioner in your home? 2023 MSHP Biomass ETS Sample Size 90 90 - - Yes 31% 31% - - No 69% 69% - - Base: Respondents who installed a mini-split heat

AI summary The data shows that 31% of respondents who installed a mini-split heat pump already had a working air conditioner in their home, while 69% did not. The sample size for both 2023 and MSHP was 90 respondents.

C9. Efficiency Nova Scotia gave a rebate of $ for your new high efficiency heat pump. If you had not received the rebate from Efficiency Nova Scotia, would you have paid the total cost of your high-efficiency heat pump? Please answer on a...

AI summary Efficiency Nova Scotia provided a rebate for a high-efficiency heat pump. The question asks whether the respondent would have paid the full cost of the heat pump without the rebate, on a scale from 0 to 10.

Information on the benefits of high efficiency heat pumps provided by Efficiency Nova Scotia 2023 MSHP Biomass ETS Sample Size 79 79 - - 10 - Great influence 20% 20% - - 9 1% 1% - - 8 14% 14% - - 7 6% 6% - - 6 6% 6% - - 5 16% 16% - - 4 6%...

AI summary This table presents survey results on the perceived influence of high efficiency heat pumps, with data showing that 35% of respondents rated the influence as 8, 9, or 10, and the mean rating was 5.3. The sample size includes 79 respondents who installed mini-split heat pumps.

D3. Efficiency Nova Scotia gave a rebate of $ for your new . If you had not received the rebate from Efficiency Nova Scotia, would you have paid the entire cost of your ? Please answer on a scale of 0 to 10, where 0 means that you "Definit...

AI summary Efficiency Nova Scotia provided a rebate for new equipment, and the question asks whether the recipient would have paid the full cost without the rebate, on a scale from 0 to 10.

D5. If there were no Heating System Rebates program, what is the likelihood that you would have kept your old heating system instead of installing a new one? 2023 MSHP Biomass ETS Sample Size 29 - 29 - MEAN 5.8 - 5.8 - Based: Respondents i...

AI summary The question asks about the likelihood of keeping an old heating system if the Heating System Rebates program did not exist. The table shows mean responses for 2023 and different heating system types, but no detailed discussion of the program's impact is provided.

D6. If there were no Heating System Rebates program, what is the likelihood that you would have postponed installing the by at least one year? 2023 MSHP Biomass ETS Sample Size 29 - 29 - MEAN 4.1 - 4.1 - Based: Respondents installed a wood...

AI summary The question asks about the likelihood of postponing the installation of heating equipment if the Heating System Rebates program did not exist. The table shows a mean response of 4.1 for both 2023 and MSHP, with sample sizes of 29 for each category. Respondents installed wood stoves, pellet stoves, wood furnaces, or wood fireplaces.

Information provided by Efficiency Nova Scotia 2023 MSHP Biomass ETS Sample Size 29 - 29 - 10 - Great influence 10% - 10% - 9 7% - 7% - 8 10% - 10% - 7 7% - 7% - 6 3% - 3% - 5 7% - 7% - 4 3% - 3% - 3 10% - 10% - 2 10% - 10% - 1 0% - 0% - 0...

AI summary Efficiency Nova Scotia provided data on the influence of various heating systems (wood stove, pellet stove, wood furnace, wood fireplace) and electric thermal storage (ETS) on energy efficiency. The data shows that 28% of respondents rated these systems as having a great influence, with a mean rating of 4.2.

E2. Had you already decided to install a before you heard about the Heating System Rebates program? 2023 MSHP Biomass ETS Sample Size 5 - - 5 Yes 3 - - 3 No 2 - - 2 Base: Respondents who installed ETS

AI summary The question asks whether respondents had already decided to install heating equipment before learning about the Heating System Rebates program. The table shows responses for ETS, with 3 out of 5 respondents confirming they had already decided to install the equipment prior to hearing about the program.

E3. Just to confirm: before you decided to participate in the Heating System Rebates program, you had already made the decision to install a ? 2023 MSHP Biomass ETS Sample Size 3 - - 3 Yes 2 - - 2 No 1 - - 1 Base: Respondents who installed...

AI summary The question seeks to confirm whether respondents decided to install ETS (Electric Thermal Storage) before participating in the Heating System Rebates program. A table shows that out of 3 respondents who installed ETS, 2 had already decided to do so prior to learning about the program.

E4. Efficiency Nova Scotia gave a rebate of $ for your new . If you had not received the rebate from Efficiency Nova Scotia, would you have paid the entire cost of your ? Please answer on a scale of 0 to 10, where 0 means that you "Definit...

AI summary Efficiency Nova Scotia provided a rebate for a piece of equipment. The question asks whether the recipient would have paid the full cost of the equipment without the rebate, using a scale from 0 to 10.

2023 MSHP Biomass ETS Sample Size 5 - - 5 MEAN 3.0 - - 3.0 Base: Respondents who installed ETS

AI summary The table presents data on sample sizes and mean values for different categories, including 2023, MSHP, Biomass, and ETS. The ETS category has a sample size of 5 and a mean value of 3.0, with the note that respondents are those who installed ETS.

E5. If there were no Heating System Rebates program, what is the likelihood that you would still have applied for NS Power's Time-of-Day Rate and installed a ? 2023 MSHP Biomass ETS Sample Size 5 - - 5 MEAN 2.6 - - 2.6 Base: Respondents wh...

AI summary The question explores whether the absence of the Heating System Rebates program would affect participation in NS Power's Time-of-Day Rate and installation of ETS. The table provides sample sizes and mean values for 2023 and ETS, but lacks detailed data on the impact of the rebate program.

F1. Before participating in the Heating System Rebates program in 2023, had you at any time in the past participated in any Efficiency Nova Scotia program or service? 2023 MSHP Biomass ETS Sample Size 113 79 29 5 Yes 47% 47% 48% 2 No 51% 5...

AI summary The document presents survey results about participation in Efficiency Nova Scotia programs and their influence on decisions to install heating equipment. It includes data on participation rates and opinions regarding the impact of prior program involvement on installation decisions.

F3. Because of your previous participation in an Efficiency Nova Scotia program and what you learned by participating in this program, you asked a contractor or a distributor about energy efficient heating systems for your home.

AI summary The text mentions a participant's previous engagement with an Efficiency Nova Scotia program and their subsequent inquiry about energy-efficient heating systems with a contractor or distributor.

F4. Because of your previous participation in another Efficiency Nova Scotia program and what you learned by participating in this program, you took into account the savings on your energy bill when evaluating different heating systems for...

AI summary The text discusses a participant's consideration of energy savings from an Efficiency Nova Scotia program when evaluating heating systems for their home, referencing their prior participation in another program.

F5. Before participating in the Heating System Rebates program in 2023, had you at any time in the past seen Efficiency Nova Scotia advertisements or information discussing the benefits of energy efficiency?

AI summary The question asks whether the individual had seen Efficiency Nova Scotia advertisements or information about energy efficiency benefits before participating in the Heating System Rebates program in 2023.

F8. The promotion of energy efficiency carried out by Efficiency Nova Scotia prompted you to take into account the savings on your energy bill when evaluating different heating systems for your home. 2023 MSHP Biomass ETS Sample Size 95 67...

AI summary Efficiency Nova Scotia's energy efficiency initiatives influenced respondents' consideration of energy bill savings when evaluating home heating systems. The data shows varying levels of agreement across different heating system types.

G6. What, if any, difficulties did you have with your Heating System Rebates application? 2023 MSHP Biomass ETS Sample Size 124 90 29 5 None 67% 64% 72% 4 Website user-friendliness/functionality issues 11% 13% 7% 0 Confusing application/Ha...

AI summary The text discusses difficulties encountered with Heating System Rebates applications, highlighting issues such as website functionality, confusing application processes, excessive paperwork, and slow processing. It also references Efficiency Nova Scotia's Home Energy Assessment Program and its outreach and eligibility for federal funding.

H2: FIRST MENTION How did you find out about the Home Energy Assessment Program? 2023 MSHP Biomass ETS Sample Size 104 81 23 - Online 21% 20% 26% - Word of mouth 21% 19% 30% - Saw an advertisement – general 11% 12% 4% - Through a contracto...

AI summary The Home Energy Assessment Program's awareness channels are explored through a survey, showing that online, word of mouth, and advertisements were the most common ways respondents learned about the program, with varying percentages across different groups.

H2: TOTAL MENTIONS How did you find out about the Home Energy Assessment Program? Any other ways? 2023 MSHP Biomass ETS Sample Size 104 81 23 - Word of mouth 28% 26% 35% - Online 26% 26% 26% - Saw an advertisement – general 15% 17% 9% - Pr...

AI summary The table shows how respondents learned about the Home Energy Assessment Program, with word of mouth and online being the most common methods. The data is segmented by different groups, including 2023, MSHP, Biomass, and ETS, with varying percentages for each method of discovery.

H3. Did you ever consider participating in the Home Energy Assessment Program instead of Heating System Rebates to get a rebate for your [INSERT EQUIPMENT] purchase? 2023 MSHP Biomass ETS Sample Size 104 81 23 - Yes, had considered this 27...

AI summary The text presents survey data on whether respondents considered the Home Energy Assessment Program as an alternative to Heating System Rebates for rebates on equipment purchases. The data shows varying levels of consideration across different groups.

H4. What factors helped you decide to take part in the Heating System Rebates Program instead of the Home Energy Assessment Program? Anything else? 2023 MSHP Biomass ETS Sample Size 28 17 11 - Costs/Cost of assessment 21% 6% 45% - Shorter...

AI summary The text presents survey data on factors influencing participation in the Heating System Rebates Program over the Home Energy Assessment Program. Key factors include cost considerations, shorter wait times, and simplicity of the rebate program. A significant portion of respondents selected 'Other' as a reason, indicating diverse motivations not captured by the listed options.

Your contractor or installer 2023 MSHP Biomass ETS Sample Size 28 17 11 - Yes 61% 71% 45% - No 39% 29% 55% - Base: Respondents who considered going through the HEA program instead of the Heating System Rebates Program

AI summary The text presents survey data comparing responses from different groups regarding participation in the HEA program versus the Heating System Rebates Program. It includes statistics on sample sizes and percentages of respondents who chose 'Yes' or 'No' for each group, with ETS data missing.

An Efficiency Nova Scotia Energy Solutions advisor 2023 MSHP Biomass ETS Sample Size 28 17 11 - Yes 18% 24% 9% - No 82% 76% 91% - Base: Respondents who considered going through the HEA program instead of the Heating System Rebates Program

AI summary The text presents a table comparing the responses of different groups (2023, MSHP, Biomass) to a question about considering the HEA program instead of the Heating System Rebates Program, with a focus on the responses of Efficiency Nova Scotia Energy Solutions advisor.

Program Participation Process (For Reference) - › Homeowners purchase an eligible measure and have it installed by a certified installer. - › Homeowners have 180 days to complete the GH application form and attach the required documentatio...

AI summary The program participation process outlines steps for homeowners to apply for incentives after installing eligible energy efficiency measures, including submitting documentation and receiving payment from EOne.

C. Program Familiarity and Promotion - C1. How familiar are you with Efficiency Nova Scotia's Heating System Rebates Program? Are you [READ RESPONSES IN ORDER] ? - 1. Very familiar - 2. Somewhat familiar - 3. Not very familiar - 4. Not at...

AI summary The section asks respondents about their familiarity with Efficiency Nova Scotia's Heating System Rebates Program and Home Efficiency Assessment (HEA) Program, and how their company promotes these programs. It also inquires about the differences between the two programs.

[PROBE FOR:] - a. Differences in eligibility (which ones?) - b. Differences in incentive structure (which ones?) - c. Requirement for a Home Energy Assessment - d. Other differences (specify_________) - 98. Don't know [GO TO NEXT SECTION]...

AI summary The text contains a series of questions probing differences in program eligibility, incentive structures, and participation requirements, specifically focusing on the Heating System Rebates and Greener Homes programs. It also asks whether respondents are aware that customers cannot participate in both programs simultaneously.

D. HEA/Greener Homes

AI summary This section of the document focuses on the Home Energy Assessment (HEA) and the Greener Homes initiative, which are part of Nova Scotia's efforts to improve residential energy efficiency and reduce greenhouse gas emissions.

[DO NOT ASK SECTION D IF CONTRACTOR TYPE = ETS ALONE] - D1. If a homeowner is interested in installing a mini-split heat pump (MSHP) and is contacting you to find out about available incentives for their purchase, which programs would you...

AI summary The text presents a series of questions aimed at understanding customer awareness and preferences regarding incentive programs for installing mini-split heat pumps, specifically Heating System Rebates and Greener Homes. It explores customer understanding, program selection criteria, and common practices among advisors.

Aspects of the Program Score 0 = Not at all satisfied 10 = Completely Satisfied Reason If 7 or less, please share the reason(s) for your score. a. The overall program /10 What could be improved? b. The list of equipment that qualifies for...

AI summary The document outlines aspects of a program that require evaluation, including the overall program, eligibility criteria, incentive levels, and application form. Each aspect is rated on a scale from 0 to 10, with reasons for scores below 7.

H. Suggestions for Improvements - H1. Do you have any recommendations to improve the Heating System Rebates Program? - H2. What additional support, if any, could Efficiency Nova Scotia provide to help you promote, educate about or deliver...

AI summary The text presents a section of a regulatory proceeding asking for suggestions to improve the Heating System Rebates Program, including requests for additional support from Efficiency Nova Scotia and interest in educational sessions about the program.

[DO NOT ASK SECTION D IF CONTRACTOR TYPE = ETS ALONE] - I1. What changes in the MSHP market, if any, have you seen over the last two years in Nova Scotia? - I2. How do you expect the MSHP market to evolve in the next two years? What makes...

AI summary The text presents two questions regarding changes and future expectations in the MSHP (Mostly Heat Pump) market in Nova Scotia over the past and next two years.

J. ETS - J1. [ASK IF CONTRACTOR TYPE = HP ALONE] Have you ever heard of Electric thermal storage, or ETS? [IF NECESSARY: ETS is an electric home heating device containing ceramic bricks that can help lower heating costs by storing heat whe...

AI summary This section of the document asks respondents about their familiarity with Electric Thermal Storage (ETS), whether they sell ETS, and the motivations and barriers for customers purchasing ETS. It explores factors such as cost, time-of-day rates, rebates, and alternative heating systems.

[ASK A1 – A4 IF NEW CONTACT (I.E. DIDN'T SPEAK TO THEM IN 2019, 2020 OR 2021] First, I would like to get a little background information about you. - A1. [IF DISTRIBUTOR/MANUFACTURER] My understanding is that your company is a [DISTRIBUTOR...

AI summary This section of the regulatory proceeding document includes a series of questions aimed at gathering background information from respondents regarding their involvement in the heating and cooling equipment market, specifically with MSHPs. It includes conditional questions based on the respondent's role as a distributor, manufacturer, or professional association.

[ASK A5 IF OLD CONTACT (I.E. WE SPOKE TO THEM IN 2019, 2020 OR 2021] A5. I understand from your past interview that your company is a [DISTRIBUTOR/MANUFACTURER] of heating and cooling equipment, such as MSHPs, that sells to contractors but...

AI summary The question asks whether the company's business model of distributing or manufacturing heating and cooling equipment, such as MSHPs, and selling to contractors rather than homeowners directly, has changed since 2019. If not, the interview continues; if it has, the change is recorded and the interview may be terminated.

B. Efficiency and Price of MSHPs Efficiency Nova Scotia's Heating System Rebates program provides incentives to high-performance cold climate MSHPs; that is multi-zone MSHPs that have a HSPF (high seasonal performance factor) of over 10 or...

AI summary The document discusses the Heating System Rebates program by Efficiency Nova Scotia, which provides incentives for high-performing cold climate MSHPs. It outlines eligibility criteria for these MSHPs and asks about the availability, contractor participation, and price trends of MSHPs since 2019.

C2. To the best of your knowledge, have your overall sales of MSHPs increased, decreased or stayed the same from 2022 to 2023? By what percentage an [increase/decrease]? Why do you think they have [increased/decreased/stayed the same]? [PR...

AI summary The question asks about changes in the sales of MSHPs from 2022 to 2023, including the percentage change and reasons, with potential factors such as federal incentives, the impact of COVID, supply chain issues, renovation demand, and inflation being considered.

RECORD (%): - C4A. [IF LOWER THAN 70% ASK] In 2021 we estimated that between 70% and 90% of MSHP sales were high-performing cold climate MSHPs. Why do you think fewer of the contractors you do business with today are selling fewer high-per...

AI summary The text includes a series of questions about the sale of high-performing MSHPs in Nova Scotia, specifically focusing on the role of Efficiency Nova Scotia's incentives and the reasons for the decline in the percentage of sales going through their programs.

D. [ASK SECTION IF TIME] Heating Systems Rebates vs. Greener Homes - D1. How familiar are you with Efficiency Nova Scotia's Heating Systems Rebates Program? - 1. VERY FAMILIAR - 2. SOMEWHAT FAMILIAR - 3. NOT FAMILIAR - D2. How familiar are...

AI summary This section asks respondents about their familiarity with Efficiency Nova Scotia's Heating Systems Rebates Program and the federal Canada Greener Homes Grant program, and if familiar, to identify the main differences between the two programs.

E. Product Adoption Curve Now, I am interested in hearing your thoughts on how the market for MSHPs has changed over the last two years. [SEND FIGURE BY EMAIL AHEAD OF INTERVIEW] - E1. Apart from price which we have already discussed, what...

AI summary The discussion focuses on changes in the MSHP market over the past two years, including factors like incentives, efficiency, and the impact of the Canada Greener Homes Grant. It also references a product adoption curve to assess the market lifecycle of MSHPs.

Table 1: 2023 Green Heat Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value Green Heat Gross Energy Savings at the Generator 5.281 GWh 5.561 GWh...

AI summary Table 1 presents the 2023 Green Heat Corrected Tracked Savings, showing adjustments in energy and peak demand savings due to changes in baseline calculations and heating capacity values for wood stoves and mini-split heat pumps. These adjustments were made based on the primary and secondary heating sources and values from the NEEP Cold Climate Heat Pump list.

Table 1: Free-Ridership Algorithm for Biomass D3. If you had not received the rebate from Efficiency Nova Scotia, would you have paid the entire cost of your ? (Scale 0 to 10) D3 = Answer x 10% IF DK OR REF: D3 = EMPTY C7. Were you aware t...

AI summary This table outlines a free-ridership algorithm used to assess whether participants in the Green Heat program would have installed high-efficiency heat pumps without the rebate from Efficiency Nova Scotia. The algorithm involves a series of questions and calculations to determine the level of influence and free-ridership.

This appendix summarizes all the recommendations made by the Evaluator as part of the 2023 Green Heat evaluation. Section Recommendations Executive Summary Recommendation #1: Ensure that Green Heat program marketing materials are available...

AI summary The appendix summarizes recommendations from the 2023 Green Heat evaluation, including improving program marketing, website usability, communication with contractors, and offering increased incentives for low-income households.

Table 2: 2023 EPI Corrected Tracked Savings Value Tracked by EOne Corrected Tracked Value Relative Difference Program Component Results Value Unit Value Unit Value EPI Gross Energy Savings at the Generator 9.455 GWh 9.481 GWh 0.3% Gross Pe...

AI summary Table 2 presents the 2023 EPI Corrected Tracked Savings, comparing original and corrected values for energy and peak demand savings. The Evaluator made adjustments to unitary savings, interactive effects, installation rates, and COP values, resulting in small differences in overall savings results.

Table 1: 2023 MHEEP Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value MHEEP (Excluding Appliance Replacements) Gross Energy Savings at the Gene...

AI summary Table 1 presents the 2023 MHEEP Corrected Tracked Savings, showing energy and peak demand savings from the program. The data indicates minimal changes in energy savings but a slight decrease in peak demand savings, attributed to adjustments for drain water heat recovery measures.

Table 1: 2023 AMH Corrected Tracked Savings Value Tracked by EOne Corrected Tracked Value Relative Difference Program Component Results Value Unit Value Unit Value AMH Gross Energy Savings at the Generator 1.462 GWh 1.462 GWh 0% Gross Peak...

AI summary The table shows that the Evaluator did not make any changes to the values tracked by EOne for the 2023 AMH Corrected Tracked Savings. All values remain unchanged, indicating no discrepancies or corrections were necessary.

APPENDIX XXII ASFH 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 included and fi...

AI summary This appendix outlines the results of a tracking sheet audit conducted by the Evaluator to verify data completeness and accuracy in the tracking sheet submitted by EOne. The audit focused on ensuring consistency in parameters used for calculating program results and validating calculation steps.

Table 3: 2023 ASFH Corrected Tracked Savings Value Tracked by EOne Corrected Tracked Value Relative Difference Program Component Results Value Unit Value Unit Value ASFH Gross Energy Savings at the Generator 1.385 GWh 1.439 GWh 4% Gross Pe...

AI summary Table 3 presents corrected tracked savings for the 2023 ASFH program, showing higher corrected energy and peak demand savings compared to tracked values due to project corrections and adjustments in line loss factors and overestimation ratios.

EfficiencyOne

AI summary The document section titled 'EfficiencyOne' introduces a program or initiative related to energy efficiency, likely involving implementation and management of energy-efficient practices. However, no further details are provided in the text.

Evaluation Approach The 2023 evaluation was aimed at calculating program component gross and net results, namely electrical first-year and lifetime energy savings, peak demand savings, as well as avoided greenhouse gas (GHG) emissions.

AI summary The 2023 evaluation focused on calculating program component gross and net results, including electrical first-year and lifetime energy savings, peak demand savings, and avoided greenhouse gas emissions.

Table 1: Summary of 2023 New Residential Program Evaluation Program Component Evaluation Type Methodology Impact Process Market NHC Condensed › Tracking sheet audit › Use of the net-to-gross ratio (NTGR) results from 2020 › Calculations us...

AI summary The document provides a summary of the 2023 New Residential Program Evaluation, focusing on the NHC program component. It outlines the evaluation methodology, including tracking sheet audits, the use of the net-to-gross ratio from 2020, and avoided greenhouse gas emission calculations.

Table 2: Overall 2023 New Residential Participation and Evaluated Savings Participation Level Gross Savings Net Savings Value Unit Value Unit Value Value Unit NHC Energy Savings 816 Participants 5.868 GWh 0.90 5.281 GWh Lifetime Energy Sav...

AI summary Table 2 presents 2023 data on new residential participation and evaluated savings, including energy savings, peak demand savings, and GHG emission reductions. It also includes Effective Useful Life (EUL) values for different participant tiers and a weighted average EUL of 30.8 years for net energy savings.

NHC Findings and Recommendations This subsection presents the key findings from the NHC evaluation. There are no recommendations for 2023. 2023 NHC-Finding: NHC exceeded its electrical energy and peak demand savings targets by 68% and 80%...

AI summary The 2023 NHC evaluation found that NHC exceeded its electrical energy and peak demand savings targets by 68% and 80%, respectively. Participation decreased by 11% due to program closure, and evaluated gross savings matched EOne's tracking, though net savings were slightly lower.

Table 3: Comparison of 2023 NHC Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 5.868 GWh 0.91 5.340 GWh 99% Evaluation...

AI summary Table 3 compares the tracked and evaluated savings from the 2023 New Home Construction (NHC) program, including gross savings, net-to-gross ratio (NTGR), net savings, and realization rates for energy and peak demand savings.

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

AI summary EfficiencyOne (EOne) is an independent non-profit organization that delivers demand-side management (DSM) programs in Nova Scotia through the Efficiency Nova Scotia (ENS) franchise. EOne's 2023 DSM program portfolio includes the New Residential program, which focuses on New Home Construction (NHC). Econoler was commissioned to evaluate this portfolio, using a condensed impact evaluation method.

1.1 NHC Description NHC is meant to encourage homeowners and builders to exceed energy efficiency building code requirements in new homes, thereby increasing the number of energy efficient dwellings in Nova Scotia. Since October 2015, NHC...

AI summary The New Home Construction (NHC) program encourages homeowners and builders to exceed energy efficiency building code requirements in new homes. Since 2015, it has been fully funded through demand-side management (DSM) funds and is available only to electrically heated households. The program involves registration, energy assessments, and rebates for meeting efficiency requirements.

1.3 Participation History The evolution of NHC participation levels as well as that of gross energy and peak demand savings from 2012 to 2023 is presented i[n Figure](#page-105-2) 2 an[d Figure](#page-106-0) 3 below, respectively. A total...

AI summary The document discusses the participation history of the New Home Construction (NHC) program from 2012 to 2023, showing a reduction in completed homes in 2023 compared to 2022. It also highlights the number of homes that did not meet the minimum rebate requirements and notes that savings are still claimed for these homes due to energy performance improvements.

Calculations Using Evaluation Results The Evaluator calculated first-year and lifetime energy and peak demand savings as per the calculation methodology presented in Section [3](#page-108-0) below.

AI summary The Evaluator calculated first-year and lifetime energy and peak demand savings based on the methodology outlined in Section 3 of the document.

3.2 Gross Savings Gross savings correspond to the change in energy consumption resulting from the energy efficiency performance achieved in new homes under NHC. The Evaluator reviewed the gross energy savings calculations, peak demand-to-e...

AI summary This section discusses gross savings, which are changes in energy consumption from energy efficiency performance in new homes under NHC. The Evaluator reviewed calculations, peak demand-to-energy ratios, and effective useful life values, with methodologies detailed in subsections.

Overestimation Ratios ORs are used to adjust the modelled energy consumption values generated in HOT2000 because the software tends to overestimate savings. The Evaluator considered the OR values established as part of the 2018 HEA evaluat...

AI summary Overestimation Ratios (ORs) are used to adjust modelled energy consumption values from HOT2000 due to overestimation of savings. The Evaluator found that OR values from the 2018 HEA evaluation remain valid for adjusting NHC participants' energy consumption.

3.2.3 Interactive Effects The Evaluator added no interactive effects to the savings calculations since they were already accounted for in the HOT2000 simulations.

AI summary The Evaluator did not add interactive effects to the savings calculations because they were already included in the HOT2000 simulations.

3.3.2 Spillover (Market Effects) Spillover occurs when participants decide to implement energy efficiency measures in new construction projects without participating in a program component. For NHC, this is measured in the form of market e...

AI summary Spillover in energy efficiency programs occurs when participants implement measures without program involvement. The spillover level is calculated using a formula involving new construction houses, energy efficiency percentages, and other factors. The 2022 spillover level of 14% was used for the 2023 evaluation due to unavailable 2023 data.

3.4 Realization Rate A comparison of the energy and peak demand savings values established through the 2023 evaluation to those tracked by EOne is presented in [Table](#page-114-1) 15. It also includes the realization rate, representing th...

AI summary This section discusses the realization rate, which is the ratio of evaluated net savings to tracked net savings for energy and peak demand savings, comparing the 2023 evaluation results with those tracked by EOne.

Table 16: Overall 2023 New Residential Participation and Savings Participation Level Gross Savings Net Savings Value Unit Value Unit Value Value Unit NHC Energy Savings 816 Participants 5.868 GWh 0.90 5.281 GWh Lifetime Energy Savings 180....

AI summary Table 16 presents the 2023 participation and savings data for new residential programs, showing energy savings, peak demand savings, and GHG emission reductions. The program exceeded its energy and peak demand savings targets by 68% and 80%, respectively.

Table 1: 2023 NHC Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value NHC Gross Energy Savings – at the Generator 5.847 GWh 5.868 GWh 0.36% Gross...

AI summary The table and text discuss the corrected tracked savings for the 2023 NHC program. Gross energy savings increased slightly, while gross peak demand savings increased by 22% due to a change in methodology. Net energy savings remained unchanged, but net peak demand savings decreased slightly due to the removal of a participant with negative energy savings but positive peak demand savings.

ABBREVIATIONS BER Business Energy Rebates BNI Business, non-profit and institutional CEE Consortium for Energy Efficiency DLC DesignLights Consortium DSM Demand-side management EER Energy efficiency ratio ENS Efficiency Nova Scotia EOne Ef...

AI summary This section lists abbreviations and their full forms used in the Nova Scotia regulatory proceeding, including terms related to energy efficiency, business rebates, and utility regulation.

Table 1: Summary of 2023 Efficient Product Rebates Program Evaluation Program Evaluation Type Component Methodology Impact Process Market BER Condensed › Tracking sheet audit › Effective useful life (EUL) update › Calculations using evalua...

AI summary The 2023 Efficient Product Rebates Program Evaluation summarizes the performance of the BER program, using methodologies such as tracking sheet audits, effective useful life updates, and avoided greenhouse gas emission calculations. It also references the net-to-gross ratio results from previous years.

Table 2: Overall 2023 Efficient Product Rebates Participation and Evaluated Savings Participa ation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit Application Rebates • Energy Savings 227 Projects 11.406 GWh 0....

AI summary Table 2 presents the participation and evaluated savings for efficient product rebates in 2023, including energy savings, peak demand savings, GHG emission reductions, and effective useful life. It highlights both Application Rebates and Instant Rebates, with overall net savings calculated using the net-to-gross ratio (NTGR).

BER Findings and Recommendations This subsection presents the key findings from the BER evaluation. The Evaluator has no recommendations for BER. 2023 BER-Finding: BER net electrical energy savings and peak demand savings both exceeded tar...

AI summary The Business Energy Rebates (BER) program exceeded its energy and peak demand savings targets in 2023. Instant Rebates participation increased by 19%, while Application Rebates participation decreased by 21%, though energy savings per participant improved. Overall energy and peak demand savings increased slightly between 2022 and 2023, primarily due to savings from LED lighting.

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

AI summary EfficiencyOne (EOne) is an independent, non-profit organization that delivers demand-side management (DSM) programs in Nova Scotia through the Efficiency Nova Scotia (ENS) franchise. EOne's 2023 DSM program portfolio includes the Efficient Product Rebates program, which is evaluated using parameters such as unitary savings values, adjustment ratios, and net-to-gross ratios.

1.1 BER Description BER provides financial incentives in the form of prescriptive rebates or financing to business, non-profit, and institutional (BNI) participants to foster reductions in electricity consumption and peak demand. All busin...

AI summary The Business Energy Rebates (BER) program provides financial incentives to BNI participants in Nova Scotia to reduce electricity consumption and peak demand. The program offers prescriptive rebates and financing, with two services: Application Rebates and Instant Rebates. Specific criteria must be met for eligibility, and rebate amounts were increased in 2022 and 2023 to boost participation. The program aims to achieve significant energy and demand savings by 2023.

BER Application Rebates In 2023, 12,912 units were rebated with the vast majority of those being in the lighting category (94%). A total of 227 projects were implemented by 169 unique participants 2 under Application Rebates. [Figure](#pag...

AI summary In 2023, 12,912 units were rebated under the Business Energy Rebates (BER) program, with lighting accounting for 94% of these. Participation decreased by 21% compared to 2022, but savings per participant increased by 11%. Lighting and HVAC accounted for 88% of total gross savings, with lighting returning to 2021 levels.

BER Overall As presented in [Figure](#page-142-0) 7 below, BER generated a total of 48.045 GWh in gross energy savings at the generator in 2023, which represents a 5% increase compared to 2022 results and a return to 2021 levels. In 2023,...

AI summary In 2023, the Business Energy Rebates (BER) program achieved 48.045 GWh in gross energy savings, a 5% increase from 2022 and a return to 2021 levels. Peak demand savings also increased by 4%, primarily driven by savings from LED linear lamps and fixtures under the Instant Rebates component.

EUL Update The Evaluator recalculated the EUL values of lighting measures for which baseline changes are anticipated during the measure lifetimes.

AI summary The Evaluator has recalculated the EUL values of lighting measures, considering anticipated baseline changes over the measure lifetimes.

3.2 Gross Savings Gross savings refer to changes in energy consumption resulting from actions taken by participants regardless of their reasons for participating. 5 For each Application Rebates project, EOne tracks annual gross savings usi...

AI summary Gross savings are defined as changes in energy consumption due to participant actions. EOne uses the BER CIRx Screening Tool version 1.6 to track annual gross savings for each Application Rebates project, including calculation methodologies and equipment parameters.

In addition to the adjustment ratio listed above for HVAC measures, the Evaluator corrected the heating seasonal performance factor (HSPF) and seasonal energy efficiency ratio (SEER) of heat pumps to correspond to the new metrics, namely H...

AI summary The Evaluator adjusted the HSPF and SEER values of heat pumps to align with new metrics (HSPF2 and SEER2) as required by Amendment 17 to the Energy Efficiency Regulations. Conversion factors from the CEE were used to make these adjustments.

Heat Pump Type SEER2 EER2 HSPF2 Ducted 0.95 0.95 0.85 Non-ducted 1.00 1.00 0.90 Packaged 0.95 0.95 0.84 This change only impacted small heat pumps since SEER and HSPF values are not used to estimate the savings of large heat pumps (>65,000...

AI summary The document presents a table of SEER2, EER2, and HSPF2 values for different heat pump types, noting that changes to these metrics only impact small heat pumps. Adjustments to SEER and HSPF values correspond to an adjustment ratio of 0.974 for HVAC measure category energy savings, with no effect on peak demand savings.

3.2.2 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling; this is considered in the gross savings standa...

AI summary This section discusses interactive effects in energy efficiency measures, focusing on lighting projects under the BER program. Adjustments based on the BER CIRx Screening Tool were applied, and observations from site visits were used to ensure accurate interactive effects factors were used.

Table 9: Evaluated 2023 Application Rebates Gross Energy and Peak Demand Savings Measure Category Agriculture Kitchen Compressed Air Water Heating HVAC Lighting Energy Savings Tracked Gross Energy Savings Without Adjustment Ratio – at the...

AI summary Table 9 presents an evaluation of energy and peak demand savings from the 2023 application rebates across various categories, including adjustments made using HSPF2 and line loss factors. The data includes gross energy savings at the meter and generator, effective useful life, and lifetime energy savings.

The only differences between tracked and evaluated savings outlined in the figures are due to updating the HSPF and SEER values used in heat pump savings calculations to HSPF2 and SEER2. Figure 8: 2023 Application Rebates Tracked and Evalu...

AI summary The document discusses the differences between tracked and evaluated savings in the 2023 Application Rebates, attributing the differences to the update of HSPF and SEER values to HSPF2 and SEER2. Figures 8 and 9 illustrate gross energy and peak demand savings, while Table 10 outlines GHG emissions reductions using a Nova Scotia-specific factor.

4.2.2 In-service Rates Research indicates that a percentage of measures purchased through rebate programs might be stored for later use. As part of the 2020-2023 Measure Assessment activities, the Evaluator established the ISR for Instant...

AI summary Research suggests that some rebate-program measures may be stored for future use. The Evaluator set an In-Service Rate (ISR) for Instant Rebates in 2020-2023, maintaining an 85% ISR for LED linear lamps and 100% ISR for fixtures, occupancy and motion sensors, and circulator pumps in 2023.

4.2.4 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling; this is taken into account in the gross unitar...

AI summary The text discusses interactive effects in energy efficiency measures, particularly how they impact heating and cooling systems. Factors were calculated using data from 2022 and adjusted for the 2023 tracking sheet, focusing on recessed fixtures and their limited interaction with heating and cooling systems.

Table 15: 2023 Instant Rebates Interactive Effects Factor Calculation Results Measure Interactive Effects Factor for Energy Savings Interactive Effects Factor for Peak Demand Savings LED Linear Fixtures Recessed -4.9% -9.2% Non-recessed -8...

AI summary Table 15 presents the 2023 Instant Rebates Interactive Effects Factor Calculation Results, showing varying percentages of energy and peak demand savings for different measures such as LED fixtures, motion sensors, and circulator pumps.

4.2.6 Evaluation Gross Savings The 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 factors whe...

AI summary This section discusses the calculation of energy and peak demand savings from Instant Rebates using unitary savings values from the 2020-2023 Measure Assessment. Line loss factors used in the calculation were based on the 2014 Cost of Service Study Progress Update submitted to the Nova Scotia Utility and Review Board.

Table 16: Evaluated 2023 Instant Rebates Gross Energy and Peak Demand Savings Measure Category LED Linear Fixtures LED Linear Lamps LED Outdoor Fixtures LED Directional and Architectural Fixtures Outdoor Motion Sensors Indoor Occupancy/ Mo...

AI summary Table 16 presents evaluated 2023 instant rebates gross energy and peak demand savings across various measures, including LED fixtures, motion sensors, and circulator pumps. The table includes energy savings, adjustment ratios, in-service rates, and peak demand savings, providing a detailed breakdown of savings at the meter and generator levels.

Evaluated gross energy savings were close to tracked savings. The slight differences between tracked and evaluated peak demand savings for LED linear fixtures and LED linear lamps were due to the revision of interactive effects. Figure 10:...

AI summary The text discusses the evaluation of energy savings from LED lighting programs, noting that gross energy savings were close to tracked savings. It also mentions the calculation of GHG emissions reductions using a Nova Scotia-specific factor applied to Instant Rebates gross savings.

Table 19: 2023 Instant Rebates NTGRs Measure Free-ridership NTGR LED Linear Fixtures 14% 0.86 LED Linear Lamps 27% 0.73 LED Outdoor Fixtures 18% 0.82 Other Measures 0% 1.00 4.3.3 Evaluated Net Savings

AI summary Table 19 presents the 2023 Instant Rebates NTGRs for various energy efficiency measures, including LED Linear Fixtures, LED Linear Lamps, LED Outdoor Fixtures, and Other Measures, along with their respective free-ridership rates and NTGR values. Section 4.3.3 discusses the evaluated net savings.

Table 20: Evaluated 2023 Instant Rebates Net Energy and Peak Demand Savings Measure Category LED Linear Fixtures LED Linear Lamps LED Outdoor Fixtures LED Directional and Architectural Fixtures Outdoor Motion Sensors Indoor Occupancy /Moti...

AI summary Table 20 presents the evaluated 2023 Instant Rebates Net Energy and Peak Demand Savings across various measures. It includes gross and net energy savings, line loss factors, effective useful life, and net lifetime energy savings, as well as peak demand savings at the meter and generator levels.

6 BER Key Findings and Recommendations The main objectives of the 2023 BER evaluation were as follows: › Calculate gross and net BER energy savings, namely electrical first-year and lifetime energy savings, peak demand savings, as well as...

AI summary The 2023 BER evaluation found that BER exceeded its energy savings and peak demand savings targets by 29% and 13%, respectively. Instant Rebates participation increased by 19%, while Application Rebates participation decreased by 21%, though energy savings per participant increased. Evaluated savings were nearly identical to tracked results by EOne.

Table 23: Overall 2023 Efficient Product Rebates Participation and Evaluated Savings Participa ation Level Gros s Savings NTGR Net Savings Value Unit Value Unit Value Value Unit Application Rebates • Energy Savings 227 Projects 11.406 GWh...

AI summary Table 23 presents data on the participation levels and evaluated savings from efficient product rebates in 2023, including energy savings, peak demand savings, GHG emission reductions, and EUL values for both application rebates and instant rebates. The NTGR (Net to Gross Evaluation) ratio is used to calculate net savings from gross savings.

LIST OF APPENDICES The following are presented in the Efficient Product Rebates Program – Appendices document.

AI summary The document provides a list of appendices from the Efficient Product Rebates Program – Appendices document, which is part of a regulatory proceeding in Nova Scotia.

EFFICIENT PRODUCT REBATES PROGRAM Appendix Report 2023 DSM EVALUATION March 12, 2024

AI summary This document is an appendix report from the 2023 Demand-Side Management (DSM) evaluation, dated March 12, 2024, focusing on the Efficient Product Rebates Program.

Table 2: 2023 Instant Rebates Corrected Tracked Savings - Lighting Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value Instant Rebates - Lighting Gross Energy Savings – at...

AI summary Table 2 presents corrected tracked savings for the 2023 Instant Rebates Lighting program. The gross and net energy savings at the generator were less than 1% lower than the corrected values, attributed to inconsistent interactive effects factors for energy savings.

Table 3: 2023 Instant Rebates Corrected Tracked Savings - Pumping Program Component Results Value Tracked by EOne Corrected Tracked Value Value Unit Value Unit Value Instant Rebates - Pumping Gross Energy Savings – at the Generator 0.367 G...

AI summary Table 3 presents corrected tracked savings for the 2023 Instant Rebates Pumping program. Both gross and net energy and peak demand savings at the generator are nearly identical, with minimal changes after correction.

APPENDIX III BER 2023 Recommendations The Evaluator made no specific recommendation as part of the 2023 evaluation of BER. 2475, Laurier boul., Suite 250 Quebec City, QC G1T 1C4 Canada Tel.: 418-692-2592 Fax: 418-692-4899

AI summary The Evaluator did not make any specific recommendations as part of the 2023 evaluation of the Business Energy Rebates (BER) program.

EfficiencyOne

AI summary The document section titled 'EfficiencyOne' introduces a program or initiative related to energy efficiency, likely involving implementation and management of energy-efficient practices. However, no further details are provided in the text.

Table 1: Summary of 2023 Custom Incentives Program Evaluation Program Evaluation Type Methodology Component Impact Process Market Custom Comprehensive X - Retrofit › Participant phone interviews (New Construction) › Consultant and Business...

AI summary In 2023, the Strategic Energy Management (SEM) and Energy Management Information Systems (EMIS) programs were merged into a single component. The evaluation of the Custom Incentives Program in 2023 included comprehensive assessments of retrofit and new construction projects, involving interviews, project reviews, and calculations for greenhouse gas (GHG) emissions reduction.

Table 2: Overall 2023 Custom Incentives Participation and Savings Participation Level Gross Savings NTGR Net S Net Savings Value Unit Value Unit Value Unit Value Custom Energy Savings Projects Completed 28.377 GWh 0.77 21.746 GWh Lifetime...

AI summary Table 2 summarizes the 2023 Custom Incentives Program's participation and savings, showing that the program nearly met its energy savings target but fell short of its peak demand savings target. The table includes metrics like energy savings, GHG emission reductions, and EUL.

Retrofit Key Findings and Recommendations 2023 Retrofit Finding: Participants are very satisfied with Custom Retrofit while consultants are somewhat satisfied. 2023 Retrofit Finding: Participants place a high value on savings measurement a...

AI summary The 2023 Retrofit findings highlight participant satisfaction with the Custom Retrofit program, the importance of savings measurement, and barriers like high costs and insufficient ROI. Recommendations include updating the logic model and aligning with other programs. Minor overlaps in incentives and established adjustment ratios for solar PV projects are noted.

SEM Findings and Recommendations This section provides the key findings and recommendations from the SEM evaluation. The recommendations are also outlined in Appendix XIX. 2023 SEM-Finding: SEM achieved 3.381 GWh in net electrical energy s...

AI summary The 2023 SEM evaluation found that the program achieved energy savings above targets, with high participant satisfaction. However, it lacks metrics for capital project realization and faces barriers like time commitment and staffing. Recommendations include tracking capital projects and improving communication on energy management's value.

Retrofit - Technical and financial support to help organizations conduct scoping and feasibility studies - Technical and financial support for the implementation of energy efficiency projects using a customized and flexible approach\ - •Or...

AI summary The Retrofit program provides technical and financial support for energy efficiency projects, targeting organizations with annual electricity consumption of 350,000 kWh or higher, provided that projects have not yet started.

New Construction - Technical and financial support to achieve electrical energy savings in new buildings and for major renovations in existing buildings, excluding savings from lighting systems - •Participation begins at the preliminary de...

AI summary The New Construction program provides technical and financial support for energy efficiency in new buildings and major renovations, excluding lighting systems. Participation starts at the design stage, requires facilities of at least 15,000 sq. ft., and mandates a 25% reduction in total building energy consumption and at least 100,000 kWh in electricity savings.

Building Optimization - Technical and financial support to help organizations conduct an investigation study with the objective of improving building operational efficiency - Technical and financial support for the implementation of no-cos...

AI summary The Building Optimization program provides technical and financial support for investigating and implementing no-cost or low-cost energy efficiency measures in eligible facilities. Eligibility requires the facility to have a building automation system, not have been commissioned in the past two years, and consume at least 350,000 kWh annually.

Table 5: Implementation Status of Past Recommendations for Custom # Recommendations Status Comments 2022 New Construction R2 Update the Program Guide to include the approach proposed in the 2022 evaluation for fan power baselines in multi-...

AI summary Table 5 outlines the implementation status of past recommendations for custom programs. Specifically, it notes that Recommendation 2022 New Construction R2 has been completed, with EOne revising the New Construction Program Guide to include a new approach to the fan power baseline for multi-unit residential buildings (MURBs).

Retrofit In 2023, energy and/or demand savings were generated by a total of 107 Retrofit projects, including: - › 93 projects completed in 2023 - › 62 single-year projects started and completed in 2023 - › 31 multiyear projects completed i...

AI summary In 2023, 107 Retrofit projects generated energy and demand savings, with 93 completed projects leading to a 37% increase in completed projects compared to 2022. Energy savings per project rose by 12%, and Retrofit achieved 15% more gross energy savings than in 2022, though gross demand savings decreased by 41% due to the inclusion of Operational Demand Reduction projects in 2022. Major contributors to energy savings were refrigeration, motors, compressed air plant upgrades, and solar PV projects.

2 Custom Evaluation Approach The 2023 Custom evaluation comprised a comprehensive impact evaluation for Retrofit, Building Optimization, and New Construction. For Building Optimization, given its smaller contribution to Custom savings, NTG...

AI summary The 2023 Custom evaluation focused on assessing the impact of Retrofit, Building Optimization, and New Construction programs. It aimed to calculate energy savings, develop a method for solar PV projects, and gather participant perspectives and motivations. The evaluation used NTGR results for Building Optimization and outlined research questions, methods, and sample sizes.

Table 6: 2022 Custom Evaluation Approach Evaluation Objectives Research Questions Methodology Update program service logic for Retrofit › How is participation (type, size) in various offers evolving over time? › Are the offers in place (co...

AI summary This section outlines the 2022 Custom Evaluation Approach for updating program service logic for Retrofit. It includes research questions about participation trends, effectiveness of offers, coherence with other program components, and consistency of impact assumptions. The methodology involves updating the logic model and analyzing participation history using tracking sheets.

Energy Model Reviews In the fall of 2023 and January 2024, Econoler and its subcontractor Bouthillette Parizeau (BPA) performed energy model reviews for 12 of the New Construction projects. After validating the information available in eac...

AI summary In the fall of 2023 and January 2024, Econoler and Bouthillette Parizeau conducted energy model reviews for 12 new construction projects, determining that project file reviews were sufficient without the need for site visits or phone calls.

3.1 Retrofit Participant and Consultant Perspectives

AI summary This section outlines perspectives from retrofit participants and consultants, focusing on their experiences and insights regarding energy efficiency programs and initiatives in Nova Scotia.

3.1.2 Participant Recruiting Interviewed consultants reported multiple avenues through which Retrofit projects are initiated. For the most part, consultants initiate the discussion with their clients about participating in Retrofit (n=7),...

AI summary Consultants reported that Retrofit projects are typically initiated by consultants, clients, or EOne. Half of the consultants help clients decide between BER and Retrofit, with EOne providing guidance. Consultants have mixed views on Retrofit's impact on their business, with some seeing benefits and others not.

3.1.3 Awareness and Motivations for Participating and Implementing Upgrades

AI summary This section discusses awareness and motivations for participating in and implementing energy upgrades. It explores factors influencing customer engagement and the effectiveness of programs in encouraging energy efficiency measures.

Participant Perspectives Most participants learned about Retrofit directly from EOne staff or marketing (n=5) or were already aware of the service before considering their project (n=4). Other sources of awareness are through an electricia...

AI summary Most participants learned about the Retrofit program through EOne staff or marketing, or were already aware of it. Motivations for participation include improving building efficiency, saving on energy costs, and replacing old equipment. Financial incentives and energy cost savings are the primary motivators.

Consultant Perspectives Consultants believe that incentives help reduce the cost of the upgrades and is most often the greatest motivation to participate in Retrofit (n=5). According to consultants, the energy cost savings resulting from t...

AI summary Consultants indicate that incentives are the primary motivator for customers to participate in Retrofit programs, followed by energy cost savings, reduced maintenance costs, and environmental benefits such as GHG emission reductions and enhanced green reputation.

3.1.4 Barriers to Implementing Other Energy Efficiency Projects

AI summary This section discusses barriers to implementing other energy efficiency projects, highlighting challenges that may hinder the successful deployment of such initiatives.

Participant Perspectives Among Retrofit participants, the top barrier to implementing energy efficiency projects is cost or a poor return on investment (n=5). Project costs are addressed by Retrofit incentives, although participants and co...

AI summary Retrofit participants identified cost and poor return on investment as the primary barriers to implementing energy efficiency projects. Other challenges include a lack of project management resources, trained workforce, equipment supply issues, and limited awareness of incentive programs. Financial constraints such as debt caps and uncertain returns on investment were also mentioned.

Consultant Perspectives Consistent with participant feedback, consultants indicated that project costs and insufficient returns on investment are the primary barriers to businesses carrying out energy efficiency projects (n=6). Two consult...

AI summary Consultants identified project costs, insufficient returns on investment, and lengthy timelines as key barriers to energy efficiency projects for businesses. They suggested standardizing forms and providing additional training for EOne staff to reduce administrative burdens and improve processing times.

Participant Perspectives Retrofit participants place a high degree of importance on reducing GHG emissions. Participants provided an average score of 8.8 out of 10 on a scale where 0 means that reducing emissions is "Not important" and 10...

AI summary Retrofit participants value reducing GHG emissions but rank it lower than other factors like energy and cost savings. On average, they rate the importance of reducing emissions as 8.8 out of 10, while electrification is rated 7.8 out of 10. Over half see emissions reduction as a minor benefit, and a few believe it will become more significant in the future.

3.1.6 Measurement and Verification

AI summary This section addresses the importance of measurement and verification in energy efficiency programs. It outlines the need for accurate tracking of energy savings and the methodologies used to ensure program effectiveness.

Consultant Perspectives Overall for Retrofit projects, consultants were more likely to point out challenges with M&V than participants. Two consultants said that cost is a challenge; in some cases, the M&V cost exceeded the Retrofit incent...

AI summary Consultants highlight challenges with M&V in Retrofit projects, including cost issues and difficulties in fluctuating energy usage. They suggest improvements like independent M&V, aligning M&V with feasibility studies, and covering M&V costs through Retrofit incentives.

Table 7: Reasons for Dissatisfaction – Regular Retrofit & Solar PV, 2023 Factor Assessed Reasons for Dissatisfaction/What Could Be Improved (#) Regular Retrofit n=4 Solar PV n=3 The value of the service relative to the time and cost involv...

AI summary Participants expressed dissatisfaction with EOne programs, citing low rebate amounts, lack of technical expertise, administrative burdens, and delays. Most participants, however, would recommend the programs despite these issues.

Table 8: Reasons for Dissatisfaction Factor Assessed Reasons for Dissatisfaction/What Could Be Improved (#) n=4 Value of the service relative to the time and cost involved › Incentives too low/should be more value for the customer (1) › Cu...

AI summary The table outlines reasons for dissatisfaction with retrofit programs, citing issues such as low incentives, complex processes, expensive equipment, and poor customer support. Consultants report that the programs are too time-consuming, not financially rewarding, and lack adequate support and transparency.

Objectives According to the program manual, Retrofit and Custom Incentives more broadly have the following objectives: - › Influence electrical energy efficiency and system peak demand reduction projects in Nova Scotia - › Build awareness...

AI summary The objectives of Retrofit and Custom Incentives programs are outlined, emphasizing energy efficiency and system peak demand reduction. However, the logic model fails to adequately represent the third and fourth objectives, particularly the barriers customers face and the diversification of EOne program offerings.

Barriers and Actions The logic model indicates the primary barrier to achieving program objectives is that projects are "not eligible for standard EOne programs". While this is a legitimate barrier to the execution of large and complex ene...

AI summary The logic model for the Retrofit program underestimates barriers such as project eligibility, cost, and lack of technical support. It also fails to account for program actions like SEM and OEMs, which provide project management resources. The model assumes Retrofit participation will lead to spillover, but this is not well-supported.

4.2.3 Project Review Sampling Methodology – Regular Retrofit Projects For the regular Retrofit project category, the Evaluator used a stratified sampling approach to select 20 projects for review from a total of 54 projects completed in 20...

AI summary The Evaluator used a stratified sampling approach to review 20 out of 54 completed regular Retrofit projects in 2023, focusing on energy savings. Larger projects were fully sampled, while smaller ones were sampled at a lower rate. The selected projects represented 72% of total tracked energy savings, and partially claimed savings were excluded from the review.

4.2.4 Project Review Findings – Regular Retrofit Projects The Evaluator reviewed the project sample to ensure the best measurement and verification practices were applied for commercial and industrial energy efficiency projects and adjuste...

AI summary The Evaluator reviewed 20 sampled retrofit projects and adjusted savings calculations for nine of them. Adjustments included both energy and peak demand savings, as well as corrections to M&V methodologies. Improvements in M&V quality were noted in 2023 following the implementation of EOne's updated guidelines.

4.2.5 Interactive Effects Since interactive effects vary significantly from one Retrofit project to another, they are taken into account in the project engineering calculations used to obtain initial gross savings. Any adjustments required...

AI summary Interactive effects in Retrofit projects vary significantly and are considered in project engineering calculations. Adjustments to these effects are made during the project review process.

Table 15: Evaluated 2023 Retrofit GHG Gross Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 21.178 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annual GHG E...

AI summary Table 15 presents evaluated 2023 retrofit greenhouse gas (GHG) emission reductions, showing gross energy savings, a Nova Scotia-specific GHG emissions factor, and resulting annual GHG emission reductions. The data supports analysis of energy efficiency programs' environmental impact.

4.3.1 Free-ridership In the case of Retrofit, free-ridership occurs when participants would have still implemented energy efficiency upgrades and measures in the absence of the service. For compressed air leak audit projects, the NTGR was...

AI summary The document discusses the free-ridership assessment for Retrofit and solar PV projects, explaining how participants might have implemented energy efficiency measures independently of the program. The 2021 NTGR was used for compressed air leak audits due to missing 2022 and 2023 data. Free-ridership levels were assessed using self-reporting via phone interviews, with adjustments made based on participant influence from EOne programs. The evaluation used a sample size of 13 out of 20, and results were calculated using an algorithm in Appendix V.

4.3.2 Spillover For Retrofit, participant spillover occurs when participants implement eligible energy efficiency measures due to influence from previously participating in the service without receiving any kind of additional support. The...

AI summary The document discusses spillover effects in the Retrofit program, where participants implement energy efficiency measures independently after participating in the service. The Evaluator used phone interviews and an algorithm to assess spillover, estimating 2% for regular Retrofit and 1% for solar PV projects.

Table 19: Evaluated 2023 Retrofit Net Energy and Peak Demand Savings Claimed Claimed for Single-year Projects Claimed for Multiyear Projects Total 11.551 8.007 0.560 20.117 0.811 0.760 0.768 9.370 6.084 0.430 15.884 -0.055 -0.055 9.370 6.0...

AI summary Table 19 presents evaluated 2023 retrofit net energy and peak demand savings, including data for single-year and multiyear projects. The table includes totals and notes differences due to true-up adjustments and varying NTGRs applied to each project category.

Table 20: Comparison of 2023 Retrofit Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 20.467 GWh 0.83 16.915 GWh 98% Ev...

AI summary Table 20 compares the 2023 retrofit tracked and evaluated savings at the generator, including energy and peak demand savings. It provides values for gross savings, net savings, and realization rates for both tracked savings by EOne and evaluation results.

5.1 Tracking Sheet Audit To ensure service results were reliably compiled, the Evaluator first performed a tracking sheet audit aimed at verifying the completeness and consistency of the data submitted by EOne. The verification and correct...

AI summary The Evaluator conducted a tracking sheet audit to verify the completeness and consistency of data submitted by EOne, ensuring reliable compilation of service results. Corrective actions are detailed in Appendix IV, and the report refers to corrected tracked savings.

5.2.1 Sampling Methodology For the energy model review, the Evaluator selected a sample of 12 projects from a total of 15 projects completed in 2023. The project sample represented 88% of total tracked energy savings for projects completed...

AI summary The Evaluator selected a sample of 12 projects from 15 completed in 2023 for the energy model review, representing 88% of total tracked energy savings. Projects were sampled based on size and building type to capture a variety of modelling approaches, with adjustments extrapolated to all projects.

Energy Savings Positive or negative adjustments were made to the tracked gross energy savings of all 12 projects reviewed by the Evaluator for 2023. The energy model reviews resulted in an average adjustment ratio of 0.829 for gross energy...

AI summary The Evaluator made adjustments to the gross energy savings of 12 projects in 2023, with an average adjustment ratio of 0.829. Adjustments included discrepancies between as-built and design specifications, application of a new methodology for water loop heat pumps, clerical errors, and minor but numerous adjustments.

Peak Demand Savings To establish evaluated peak demand savings, the Evaluator averaged the monthly peak demand reductions calculated in the revised energy models for the months of December, January, and February. The differences between tr...

AI summary The Evaluator calculated evaluated peak demand savings by averaging monthly peak demand reductions in December, January, and February. Discrepancies between modelled and tracked demand savings were significant, with most projects differing by over 20%. After adjustments, the average adjustment ratio was 0.776 with a 12.6% margin of error.

Net savings represent the savings that can be reliably attributed to a service. For New Construction, net savings are calculated by applying the NTGR value in the following equation: Net Savings = Gross Savings × NTGR The results are liste...

AI summary Net savings are calculated using the NTGR value, with an average EUL of 18.0 years resulting in 2,500 tonnes of CO2 eq in annual GHG emission reductions for new construction.

6 Building Optimization Impact Evaluation The objectives of the 2023 Building Optimization impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as EUL values a...

AI summary The 2023 Building Optimization impact evaluation aimed to assess energy and peak demand savings, GHG emissions reductions, and EUL values. It included partial savings from future projects and final savings from both single-year and multiyear projects completed in 2023, with one multiyear and five single-year projects reporting final savings.

6.1 Tracking Sheet Audit To ensure service results were reliably compiled, the Evaluator first performed a tracking sheet audit aimed at verifying the completeness and consistency of the data submitted by EOne. The verification and correct...

AI summary The Evaluator conducted a tracking sheet audit to ensure the reliability of service results compiled by EOne, verifying data completeness and consistency. Corrective actions are detailed in Appendix IV, leading to the presentation of corrected tracked savings results.

6.2 Gross Savings Gross savings correspond to changes in energy consumption resulting from actions taken by Building Optimization participants regardless of why they participated. This subsection describes the review methodology used for a...

AI summary This section discusses the calculation of gross savings for Building Optimization projects, emphasizing the use of best measurement and verification practices and the inclusion of engineering assumptions where necessary.

6.2.1 Project Review Findings All six completed Building Optimization projects were reviewed by the Evaluator. As a result of the review process, the Evaluator adjusted the energy savings of two projects and the demand savings of all six p...

AI summary The Evaluator reviewed six completed Building Optimization projects and adjusted energy and demand savings based on findings. One project had a minor upward adjustment, another had a 50% reduction in energy savings due to an incorrect baseline assumption, and all six projects had demand savings recalculated. No average adjustment ratio was used, and total savings were calculated by summing individual project results.

6.2.4 Evaluated Gross Savings [Table](#page-37-0) 26 below presents the overall evaluated gross savings for Building Optimization, which were obtained by applying project-specific adjustments to energy and peak demand savings as a result o...

AI summary This section discusses the calculation of evaluated gross savings for Building Optimization projects, including the use of adjustment ratios, line loss factors, and references to studies provided by NS Power. Peak demand savings were not tracked but were calculated and added to gross savings.

Table 26: Evaluated 2023 Building Optimization Gross Energy and Peak Demand Savings Finals Savings Claimed for Multiyear projects Final Savings Claimed for Single year Projects Total Number of Projects 1 5 6 Energy Savings Tracked Gross En...

AI summary Table 26 evaluates the 2023 Building Optimization program's energy and peak demand savings, distinguishing between multiyear and single-year projects. It includes metrics like gross energy savings, adjustment ratios, line loss factors, and effective useful life.

Table 27: Evaluated 2023 Building Optimization Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 0.619 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross...

AI summary Table 27 presents evaluated 2023 building optimization gross GHG emission reductions, including energy savings and emission factors. Section 6.3 discusses net savings, though no details are provided in the text.

Net savings represent the savings that can be reliably attributed to a service. For Building Optimization, net savings are calculated by applying the NTGR value in the following equation: Net Savings = Gross Savings × NTGR The detailed net...

AI summary Net savings for Building Optimization are calculated using the NTGR value, resulting in an average EUL of 7.9 years and 311 tonnes of CO2 eq in annual GHG emission reductions.

Table 29: Evaluated 2023 Building Optimization Net Energy and Peak Demand Savings Partial Savings Claimed Final Savings Claimed for Single-year Projects Total Number of Projects 1 5 6 Energy Savings Gross Energy Savings – at the Meter (GWh...

AI summary Table 29 presents the evaluated net energy and peak demand savings from the 2023 Building Optimization program. It includes metrics such as gross and net energy savings, line loss factors, and effective useful life for different project types.

Table 30: Comparison of 2023 Building Optimization – Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 0.708 GWh 0.91 0.6...

AI summary Table 30 compares tracked and evaluated energy and peak demand savings from the 2023 Building Optimization program. Tracked savings by EOne show 0.708 GWh of energy savings and 0.000 MW of peak demand savings, while evaluation results indicate 0.619 GWh of energy savings and 0.062 MW of peak demand savings. Realization rates and net savings are also provided.

7 Overall Savings for Custom A comparison of the energy and peak demand savings values established through this evaluation and those tracked by EOne is presented i[n Table](#page-41-0) 31. The realization rate, representing the ratio of ev...

AI summary The evaluation compares energy and peak demand savings values established through the process with those tracked by EOne, showing a realization rate of 97% for energy savings and 91% for peak demand savings.

Table 31: Comparison of 2023 Custom Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Value Unit Energy Savings Tracked Savings by EOne 20.467 GWh 0.83 16.915 GWh Evaluati...

AI summary Table 31 compares 2023 custom tracked and evaluated savings at the generator, including energy and peak demand savings across different categories such as Retrofit, New Construction, and Building Optimization. The table includes gross savings, net savings, and realization rates for each category.

(_page_43_Picture_13.jpeg) 2023 Custom Finding: Following the project reviews, the Evaluator adjusted the energy and peak demand savings for Retrofit, New Construction, and Building Optimization. For Retrofit, the Evaluator made adjustment...

AI summary The 2023 Custom Finding discusses adjustments made to energy and peak demand savings for Retrofit, New Construction, and Building Optimization projects. Free-ridership levels increased for regular Retrofit and solar PV projects, while New Construction free-ridership decreased slightly from 2022 levels.

2023 Retrofit Finding: The primary barriers to implementing energy efficiency projects are the costs and insufficient returns on investment of energy efficiency projects. This challenge impacts the majority of Retrofit participants. Other...

AI summary The primary barriers to implementing energy efficiency projects are the high costs and insufficient returns on investment. While program incentives and supports exist, they are not well communicated in the Retrofit program logic model. Energy savings assumptions are mostly consistent, but there are some discrepancies, particularly in the treatment of NTGR for compressed air leak audit and repair projects. Custom-specific adjustment ratios for solar PV projects have also been established.

9.1 SEM Description In 2023, SEM and Energy Management Information Systems (EMIS) were merged into one program component. Previously, SEM and EMIS were offered as separate program components. SEM provides industrial and institutional parti...

AI summary The Strategic Energy Management (SEM) program, merged with Energy Management Information Systems (EMIS) in 2023, supports industrial and institutional participants in implementing energy management practices. Eligible participants receive funding and support for energy-saving actions, audits, and training, with the goal of achieving continuous energy savings and improving long-term energy performance.

Figure 15: 2023 SEM Participation Process Summary Eligibility Check, Memorandum of Understanding (MOU), and Kick-off Meeting - Once approved, eligible participants must first sign a MOU that outlines the project scope, participant requirem...

AI summary The 2023 SEM Participation Process involves eligibility checks, signing MOUs, kick-off meetings, energy team formation, and development of energy management policies. Participants host energy improvement events, develop energy management plans, and undergo savings verification. Performance-based incentives are offered at different rates depending on participation in the Large Industrial initiative. The program aimed for 3.002 GWh of energy savings and 0.343 MW of peak demand savings.

10 SEM Evaluation Approach The 2023 SEM evaluation comprised a comprehensive impact evaluation. The main objectives of the SEM evaluation were as follows: - › Calculate SEM gross and net results, namely electrical first-year and lifetime e...

AI summary The 2023 SEM evaluation aimed to calculate energy savings, peak demand reductions, and GHG emissions avoided, while collecting participant perspectives and updating the program logic. Research questions, methods, and sample sizes were outlined in a table.

Table 33: 2023 SEM Evaluation Approach Evaluation Objectives Research Questions Methodology Collect information on participant and partner perspectives › What is the level of satisfaction with SEM? › To what extent do SEM participants adop...

AI summary Table 33 outlines the 2023 SEM Evaluation Approach, focusing on collecting participant perspectives, updating program logic, calculating gross and net results, and identifying barriers and improvements for the SEM program. The methodology includes interviews, audits, and calculations.

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

AI summary The document discusses the calculation of net avoided GHG emissions for the Strategic Energy Management (SEM) program, using Nova Scotia-specific factors derived from NS Power data. It also references the 2020-2023 Measure Assessment, which provides detailed parameters for evaluating energy and peak demand savings from EOne's DSM program portfolio.

SEM participant quotes: "It was difficult trying to figure out the right mix of who needs to be on the team to ensure good representation from the maintenance, facilities, equipment, and production teams so that we fully understood what co...

AI summary Participants in the SEM program found initial challenges in team composition and collaboration with service providers but now see value in the program. Many are focused on decarbonization, though some do not immediately see the link between electricity efficiency and emissions reduction. Most participants have or are implementing EMIS systems, though some lack the resources to do so.

11.1.3 Suggestions for Improvement While most participants were highly satisfied with SEM and the Service Provider, several still identified opportunities for improvement. - › Three respondents indicated that they would see value in having...

AI summary Participants in SEM expressed satisfaction but highlighted areas for improvement, including increased on-site support, incentives for non-electrical measures, leveraging the EOne network for local expertise, and emphasizing process improvements for greater energy savings.

11.2 Logic Model Review The logic model review was aimed at determining whether SEM was achieving its goal in the way that it was anticipated at the time of design. To do so, the Evaluator first assessed which elements of the CEE SEM Minim...

AI summary The logic model review evaluated whether the Strategic Energy Management (SEM) program was achieving its intended goals as designed. The Evaluator compared the CEE SEM Minimum Elements completed by participants with findings from interviews with BDM, Service Providers, and participants.

11.2.1 Compliance with CEE SEM Minimum Elements The CEE SEM Minimum Elements is a reference document that describes, "from the energy efficiency program perspective, the minimum conditions that an industrial company or facility should have...

AI summary The CEE SEM Minimum Elements are a reference document outlining minimum conditions for industrial companies to improve energy performance. An evaluator assessed how well SEM participants have adopted these elements using self-assessments, with partial implementation noted when elements are not fully implemented but are no longer being actively improved.

Table 34: Adoption of CEE SEM Minimum Elements Reported Among SEM Participants SEM Minimum Element Completed Participant Responses or in Place P1 P2 P3 P4 P5 P6 P 7 P8 P9 Energy policy and long- term energy reduction goals In progress Yes...

AI summary Table 34 shows the adoption of CEE SEM Minimum Elements by participants, with most having adopted most elements. P8 and P9, new participants, have adopted fewer elements. Energy policy remains incomplete for most due to its indirect impact on savings and the effort required. The Service Provider and Evaluator note the lack of reporting on energy performance indicators.

11.2.2 Logic Model The main objective of the logic model is to link program objectives to the barriers that prevent achieving the objectives and identify actions or means to reduce the barriers. The Evaluator therefore assessed each of tho...

AI summary The logic model aims to connect program objectives with barriers to achieving them and identify actions to reduce those barriers. The evaluator assessed the components of the current SEM logic model, checked their alignment with previous findings, and identified missing components and potential improvements.

Barriers and Actions The current logic model lists "savings not being guaranteed" and "large time commitment" as the main participant barriers to implementing a strategic energy management approach. While the large time commitment is a sim...

AI summary The document discusses barriers to implementing strategic energy management, including 'savings not being guaranteed' and 'large time commitment.' It notes that competing priorities and lack of qualified staff are significant barriers, suggesting that energy efficiency is not highly valued compared to production needs. The Evaluator identifies actions EOne could take through SEM to address these barriers.

Table 35: SEM Barriers and Corresponding Actions Barriers Actions Lack of available staff and large time commitment Service Provider does a part of the data analysis. Lack of skilled staff in energy management Service Provider offers exper...

AI summary Table 35 outlines barriers to implementing Strategic Energy Management (SEM) and the corresponding actions taken by the Service Provider, including data analysis support, expertise provision, and regular meetings to ensure accountability and task completion.

12 SEM Impact Evaluation The objectives of the 2023 SEM impact evaluation were to determine project gross and net electrical energy and peak demand savings as well as annually avoided GHG emissions, EUL values, and associated lifetime ener...

AI summary The 2023 SEM impact evaluation aimed to assess the project's gross and net electrical energy and peak demand savings, annually avoided GHG emissions, EUL values, and associated lifetime energy savings.

12.2 Gross Savings This subsection describes the methodology used to review the six SEM projects that generated savings in 2023 and summarizes the review findings. Interactive effects, EUL values, and revised gross savings were also assess...

AI summary This subsection outlines the methodology for reviewing six SEM projects that generated savings in 2023 and summarizes the findings, including assessments of interactive effects, EUL values, and revised gross savings.

12.2.1 Project Review Findings The Evaluator reviewed the calculation methodologies for the abovementioned six projects based on project documentation as well as the information obtained through interviews with participants and the Service...

AI summary The Evaluator reviewed six projects using a bottom-up M&V approach, found methodologies generally thorough, and made minor adjustments to energy savings. Adjustments included corrections to a variable frequency drive measure and an oversight in peak demand savings calculations. Overall adjustment ratios were 0.997 for energy and 1.340 for peak demand savings.

12.2.2 Interactive Effects For each project reviewed, the Evaluator validated if interactive effects should have been considered and concluded that no interactive effects impacted the concerned measures. Hence, no additional interactive ef...

AI summary The Evaluator reviewed projects and determined that no interactive effects influenced the measures under consideration, so no additional interactive effects were applied to measured savings.

12.3.1 Evaluated Net Savings Net savings are defined as the changes in energy use that are specifically attributable to SEM. Since spillover and free-ridership effects were considered nil, net SEM impacts are equal to the gross savings gen...

AI summary The document evaluates the net savings from the Strategic Energy Management (SEM) program in 2023, reporting 3.381 GWh in energy savings and 0.366 MW in peak demand reduction, exceeding targets by 13% and 7% respectively. These savings resulted in 1,866 tonnes of CO2 eq in annual GHG emission reductions.

13 SEM Key Findings and Recommendations As mentioned previously, the main objectives of the 2023 SEM evaluation were as follows: - › Calculate SEM gross and net results, namely electrical first-year and lifetime energy savings, peak demand...

AI summary The 2023 SEM evaluation found that the program exceeded its energy and peak demand savings targets, maintained stable participation levels, and received high participant satisfaction. The bottom-up M&V approach did not hinder the program's energy management objectives.

Table 39: Overall 2023 Custom Incentives Participation and Evaluated Savings Participation Level Gross Gross Savings Net Savings Value Unit Value Unit Value Unit Value

AI summary Table 39 presents data on the participation levels and evaluated savings from custom incentives in 2023, including gross and net savings across different categories. The table provides a structured overview of the impact of these incentives.

Custom Appendix I Retrofit and SEM Interview Guide with BDMS Appendix II Retrofit and Solar Participant Interview Guide Appendix III Retrofit Consultant Interview Guide Appendix IV Custom Tracking Sheet Audit Appendix V Retrofit Algorithm...

AI summary The document outlines various appendices related to energy efficiency programs, including interview guides, tracking sheets, algorithms for free-ridership and spillover calculations, project review protocols, and recommendations for a custom 2023 initiative.

A. Respondent Involvement in the Program A1. To begin, please tell me about your roles as a Business Development Manager as it relates to the Retrofit and SEM program services?

AI summary The section asks the respondent to describe their role as a Business Development Manager in relation to the Retrofit and SEM program services.

B. Participant Recruiting - B1. How do you typically describe the value or benefits or Retrofit to potential participants? - B2. I understand that you are involved in recommending participants that would benefit from an OEM. How are OEMs s...

AI summary The section outlines a series of questions related to participant recruiting in energy efficiency programs. It focuses on how benefits of various programs like Retrofit, OEM, SEM, and BER are communicated to potential participants, the selection of OEMs, and how different programs are differentiated and recommended to participants.

C. Motivations and Barriers My next questions are specifically about Retrofit. - C1. In your experience, what prevents customers from implementing their energy efficiency projects in the absence of support from EOne? - C2. What are the mos...

AI summary The text explores motivations and barriers related to energy efficiency programs, specifically Retrofit and SEM. It asks about obstacles customers face without EOne support, motivations for participating in Retrofit and OEM offers, and challenges with consultant availability. It also addresses changes in the SEM program's M&V approach and its impact on participation.

D. Decarbonization and Electrification - D1. Have your customers discussed decarbonization or electrification with you? If yes, what are their concerns? [PROBE: carbon credits] - D2. In your opinion, how do participant's decarbonization an...

AI summary The section asks about customer discussions on decarbonization and electrification, their concerns, and how these objectives influence participation in Retrofit and SEM programs. It also explores whether marketing SEM as an all-fuel program would increase its appeal.

E. Challenges and Opportunities - E1. Overall, what is the main strength of the Retrofit program? - E2. What is the main challenge of the Retrofit program? - E3. What feedback have you heard from participants about the Retrofit program? An...

AI summary The text outlines a series of questions posed to stakeholders regarding the Retrofit and SEM programs, focusing on their strengths, challenges, participant feedback, and opportunities for improvement. The discussion includes participant experience, consultant availability, and program delivery.

APPENDIX II Retrofit and Solar Participant Interview Guide

AI summary This document outlines an interview guide for participants in the Retrofit and Solar program, likely used to gather feedback or insights from individuals or organizations involved in energy efficiency and renewable energy initiatives.

A. Identifying Key Decision-makers [Retrofit / Solar] - A1. We would like to speak with someone that played a key role in the financial decision to implement the [solar PV / energy efficiency] project for your organization. Are you that pe...

AI summary This section of the regulatory proceeding seeks to identify key decision-makers involved in implementing solar PV or energy efficiency projects. It asks respondents whether they were directly involved in the financial decision-making process or, if not, to provide information about someone who was.

B. Awareness, and Participation [Retrofit] - B1. How did you first hear about the Custom Retrofit program? - 96. Specify: - B2. Why did your organization decide to implement the [solar PV / energy efficiency] project? [DO NOT READ] - 96. S...

AI summary The document section focuses on awareness and participation in the Custom Retrofit program, asking respondents how they learned about the program and their reasons for implementing solar PV or energy efficiency projects. It includes pre-coded answer options for reasons such as lower operation costs, energy policy, environmental reasons, and competitor influence.

C. Free-ridership [Retrofit / Solar] - C1. Had your organization finalized the details of the [solar PV / energy efficiency] project BEFORE knowing that you would receive an incentive from Efficiency Nova Scotia? - 1. Yes - 2. No - 98. Don...

AI summary This section of the regulatory proceeding explores free-ridership related to solar PV and energy efficiency projects, focusing on whether organizations finalized project details before knowing about incentives from Efficiency Nova Scotia, their confidence in receiving incentives, and the impact of these incentives on project payback periods and likelihood of implementation.

[VOLUNTEERED] - 98. Don't Know - 99. Refused - C5. [ASK IF RETROFIT AND IF $ >0] As part of its Custom Retrofit program, Efficiency Nova Scotia gave your organization a $ incentive for the [INVESTIGATION OR FEASIBILITY] study. In the absen...

AI summary The text refers to a Custom Retrofit program by Efficiency Nova Scotia, which provided a study incentive. It asks about the likelihood of conducting the study without the program, using a scale from 0 to 10. The question is part of a survey or assessment related to program effectiveness.

Factor [READ AND RANDOMIZE] Responses a. [ASK IF Retrofit] The program financial incentive for the [Investigation or Feasibility Study]. Response 98 Don't Know Refused b. The program financial incentive for the implementation of the [solar...

AI summary The text presents a series of questions and responses related to a program's financial incentives, energy efficiency measures, and technical assistance provided by Efficiency Nova Scotia. Most responses indicate a lack of knowledge or refusal to answer. The questions focus on program implementation, energy savings, and the use of an Onsite Energy Manager.

- 1. Yes - 2. No - 98. Don't know - 99. Refused - C10. [IF C9 = YES] How does having an On-site Energy Manager (OEM) add value to your organization? - C11. [IF C9=YES] I would like you to rate the influence of the Onsite Energy Manager (OE...

AI summary The text presents a set of survey questions related to the value of an On-site Energy Manager (OEM) and their influence on energy efficiency decisions, specifically regarding solar PV projects and energy efficiency measures through the Custom Retrofit program.

[READ AND ROTATE (D1 + D2 TO D3) AND (D4 + D5 TO D7) SEQUENCES] - D1. Before participating in the Custom Retrofit program for this project, had your organization already participated in this program or in any other Efficiency Nova Scotia p...

AI summary This text outlines a survey question related to participation in Efficiency Nova Scotia programs, specifically the Custom Retrofit program, and asks respondents to evaluate how past participation influenced their current project decisions, including examining solar PV or energy efficiency options.

E. Spillover [Retrofit / Solar] - E1. Since first taking part in the Custom Retrofit program, have you implemented any additional energy efficiency measures outside of the program? - 1. Yes - 2. No [GO TO SECTION F] - 98. Don't know [GO TO...

AI summary This section of the proceeding asks participants in the Custom Retrofit program about additional energy efficiency measures they have implemented outside the program, including financing, rebates, and the influence of their experience with the Custom Retrofit program.

[VOLUNTEERED] - 98. Don't Know - 99. Refused - E5. [IF E2 = NO OR DK/REFUSED] Why did you implement this project without the assistance of an Efficiency Nova Scotia program? - 96. Specify - 98. Don't know/ Refused

AI summary The text includes a question asking why a project was implemented without the assistance of an Efficiency Nova Scotia program, with response options including specifying the reason or refusing to answer.

F. Measurement & Verification [Retrofit] F1. Using a scale from 0 to 10, where 0 is "Not important" and 10 is "Very important". How important is the measurement and verification of energy efficiency projects to your company?

AI summary The section asks respondents to rate the importance of measuring and verifying energy efficiency projects on a scale from 0 to 10, with 0 being 'Not important' and 10 being 'Very important'.

[VOLUNTEERED] - 98. Don't Know - 99. Refused - F2. What challenges, if any, did you encounter developing and implementing the measurement and verification plans related to Custom Retrofit projects? - F3. Do you have any suggestions on how...

AI summary The text contains survey questions about challenges in developing and implementing measurement and verification plans for Custom Retrofit projects and suggestions on how EOne could support such efforts.

H. Barriers [Retrofit] - H1. What is the main challenge or barrier that prevents your business from implementing other energy efficiency projects? - a. Specify: - b. Are there any other challenges or barriers?

AI summary This section of the regulatory proceeding document asks respondents to identify the main challenges or barriers preventing their businesses from implementing energy efficiency projects, as well as any additional challenges they may face.

E. Decarbonization and Electrification - E1. Have you had discussions with your customers about reducing GHG emissions or electrification? - a. If yes, what issues or concerns are top of mind? [PROBE: carbon credits] - E2. In your opinion,...

AI summary The document asks whether discussions about reducing GHG emissions or electrification have occurred with customers, and how these issues influence their participation in the Custom Retrofit program, including their interests and measurement needs.

G. Suggestions for Improvements - G1. Are there any other challenges with the Custom Retrofit program or its delivery that we haven't discussed? - G2. Other than increased incentives, do you have any recommendations to improve the Custom R...

AI summary The text presents a set of questions aimed at identifying additional challenges, recommendations for improvement, and other considerations related to the Custom Retrofit program. It invites further input on the program's performance and potential enhancements.

Table 1: 2023 Custom Corrected Tracked Savings Program Component Result Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Gross Energy Savings – at the Generator 29.112 GWh 29.112 GWh 0.000% Gross Demand Sav...

AI summary The table shows that there were no substantial differences between the tracked and corrected tracked energy and demand savings in 2023. Minor changes in peak demand savings were attributed to adjustments in line loss factors.

APPENDIX V Retrofit Algorithm for Free-Ridership Calculation Question Response Score INTRODUCTION I am with and we are conducting an evaluation of the Custom Retrofit program offered by Efficiency Nova Scotia. This interview should take up...

AI summary This text is an introduction to an interview conducted by Efficiency Nova Scotia to evaluate the Custom Retrofit program. The interview aims to understand the decision-making process of an organization regarding its energy efficiency project, specifically a retrofit project at a specified location.

Project Review Protocol The Evaluator used the same project review protocol in 2023 as the one used for the 2022 Custom Retrofit evaluation. The protocol includes questions and assessment fields for measurement and verification (M&V) plans...

AI summary The Project Review Protocol used in 2023 is consistent with the 2022 Custom Retrofit evaluation. It includes tools for assessing M&V plans and reports, and involves reviewing project documentation submitted by EfficiencyOne before conducting interviews or on-site visits.

On-Site Visit Protocol - 2023 Efficency Nova Scotia 1. General Information Virtual Visit Date: Team: Contact Name: Project ID: Project Type (Regular Retrofit (project type) / Compressed Air/ Bopt) : Contact Title: Role on the projet: Admin...

AI summary This document outlines the On-Site Visit Protocol for Efficiency Nova Scotia in 2023. It includes sections for general information, facility and project description, and M&V plans and documentation. The form is designed to collect details about the project, facility, and key variables for the visit.

Measure Review Protocol - 2023 Efficency Nova Scotia

AI summary The document introduces the Measure Review Protocol for Efficiency Nova Scotia in 2023, outlining procedures for reviewing energy efficiency measures.

4. On-site or Virtual Review (continued) Section to be filled out with questions prior to virtual visits, and answers to be included during the call. Create new worksheet and reapeat for each measure, as needed. Measure #1 Name of the Meas...

AI summary The text outlines a structured approach for on-site or virtual review of energy efficiency measures, focusing on validation of installation quantities, baseline alignment with program rules, operating schedules, and savings calculation approaches. It includes specific questions to be asked during interviews and assessments.

Introduction – Telephone IDI I am with Narrative, and we are conducting an evaluation of the Efficiency Nova Scotia Custom New Construction program. This interview should take about 15-20 minutes. Is this still a good time for you? The pur...

AI summary Narrative is conducting an evaluation of the Efficiency Nova Scotia Custom New Construction program through a telephone interview. The interview aims to understand motivations for building energy-efficient structures that exceed code requirements, with responses kept confidential and not affecting incentive amounts.

Introduction – Online Survey Narrative Research and Econoler are currently conducting a formal evaluation of the Efficiency Nova Scotia Custom New Construction program. Your organization recently entered into an agreement in [CPA ACCEPTED...

AI summary Narrative Research and Econoler are evaluating the Efficiency Nova Scotia Custom New Construction program. The survey aims to understand the decision-making process of organizations that entered into an agreement with Efficiency Nova Scotia to design energy-efficient buildings exceeding code requirements.

A. Identifying Key Decision-makers - A1. [SINGLE RESPONSE] Did you play a key role in your organization's decision to build an energy efficient, or better-than-code, building. - 1. Yes - 2. No - 98. I am unsure - A2. [IF [A1=](#page-111-0)...

AI summary The section focuses on identifying key decision-makers involved in the decision to build energy-efficient or better-than-code buildings. It asks respondents whether they played a key role, and if so, to describe their role and provide contact information for key decision-makers.

iency Nova Scotia? - 1. Very confident - 2. Somewhat confident - 3. Not very confident - 4. Not at all confident - 98. I am unsure - 99. I prefer not to say - C4. [SINGLE RESPONSE] Which one of the following best represents the impact of t...

AI summary The text includes survey questions about confidence in Efficiency Nova Scotia and the impact of financial incentives on building projects. Respondents are asked about their confidence levels and how incentives influenced project financing and hiring energy modeling consultants.

CAPTURE VERBATIM - 98. I am unsure - 99. I prefer not to say - C10. [SINGLE RESPONSE PER STATEMENT; DO NOT RANDOMIZE] Rate the influence of the following factors in your decision to build a better-than-code building. - a. The program finan...

AI summary The text presents a survey question asking respondents to rate the influence of various factors in their decision to build a better-than-code building. It includes options for responses and a scale from 0 to 10.

[IF D1=4, 98 OR 99: SKIP TO D4] [ASK D2 AND D3 IF D1= YES (CODE 1-3); SHOW INTRO ON SAME PAGE AS D2 AND D3] To what extent do you agree or disagree with the following two statements: D2. [ASK IF D1= YES (CODE 1-3); SINGLE RESPONSE] Because...

AI summary The text presents a survey with questions related to the influence of Efficiency Nova Scotia's energy efficiency programs on participants' decision-making processes in building projects. It asks respondents to rate their agreement with statements regarding the impact of previous program participation and promotional materials on their actions and decisions.

Introduction I am with _____ and we are performing an evaluation of the Custom New Construction program service offered by Efficiency Nova Scotia. This interview should take up to 20 minutes. Is this still a good time for you? Through this...

AI summary This introduction outlines an interview with a participant of Efficiency Nova Scotia's Custom New Construction program, aiming to understand decision-making processes related to building energy-efficient structures that exceed code requirements. The responses will be kept confidential and aggregated with others.

B. Free-ridership - B1. Why did your organization decide to build a better-than-code building? [DO NOT READ] - 1. Lower operation costs - 2. Energy policy in my organization - 3. Environmental reasons/energy efficiency - 4. Competitors are...

AI summary The text outlines a series of questions related to free-ridership in energy efficiency programs, focusing on how financial incentives from Efficiency Nova Scotia influenced building design and energy efficiency measures. It explores whether incentives were a key factor in decision-making and whether they encouraged exceeding building code standards.

C2. [ASK IF C1= YES (codes 1-3)] Because of your previous participation in an Efficiency Nova Scotia program and what you learned from it, you asked a technical staff member or energy modeler to examine the energy efficiency options for yo...

AI summary The text outlines a series of questions related to participation in an Efficiency Nova Scotia program, focusing on whether promotional materials influenced decisions regarding energy efficiency in building projects, including consulting technical staff and evaluating cost-effectiveness.

D. Satisfaction D1. Using a scale from 1 to 10, where "1" is Not at all satisfied and "10" is Completely satisfied, how satisfied are you with Efficiency Nova Scotia's overall performance in working with your organization?

AI summary This section asks for a satisfaction rating on a scale from 1 to 10 regarding Efficiency Nova Scotia's performance in working with the respondent's organization.

Factor [READ AND RANDOMIZE] Responses a. The responsiveness of employees to your requests and Response enquiries in a timely manner 98 DK99 Ref _97 N/A b. The speed with which the application was approved Response 98 DK99 Ref _97 N/A c. Th...

AI summary The text includes a table asking about the responsiveness of employees, approval speed, value of programs, ability to provide estimates, and technical expertise of Efficiency Nova Scotia employees. It also asks for a recommendation on the programs offered by Efficiency Nova Scotia.

VOLUNTEERED - 98. Don't know - 99. Refused - D5. How likely would you be to participate in other programs offered by Efficiency Nova Scotia if your organization qualified? Would you definitely, probably, probably not, or definitely not par...

AI summary This section presents a survey question asking respondents how likely they would be to participate in other programs offered by Efficiency Nova Scotia if their organization qualified, with response options ranging from 'definitely' to 'definitely not'.

APPENDIX X New Construction Energy Model Review Protocol

AI summary This document outlines the New Construction Energy Model Review Protocol, which provides a structured approach for reviewing energy models in new construction projects. It ensures compliance with energy efficiency standards and facilitates accurate assessment of building performance.

Efficiency Nova Scotia Simulation Model Review Protocol Custom New Construction 1. General Information Review Date: Contact Name: Project ID: Contact Title: Project Type: Contact Phone: Project Status: Email: Project Name: Address: Project...

AI summary This document outlines a protocol for reviewing the Efficiency Nova Scotia simulation model for custom new construction projects. It includes sections for general information, facility operation schedules, and adjustments to the energy model based on specific measures.

The reviewer must verify the model following guidance defined in the tab "Modelling Review Checklist". Description from project documentation Virtual visit, call or document As modeled by participant Changes to model by Econoler Descriptio...

AI summary The document contains a table and simulation outputs related to energy consumption and demand modeling, including baseline and proposed scenarios, energy savings tracking, and adjustments made by Econoler. The content focuses on modeling and verification processes.

5 HVAC Systems This section can be very complex, depending on the building modelled, so the following should be considered as general guidelines. Please refers to E1 White Paper - Baseline HVAC System in MURBs for MURBS - Validate that all...

AI summary This section provides guidelines for accurately modelling HVAC systems in buildings, emphasizing validation against shop drawings, code specifications, and software bugs, as well as ensuring proper airflow and system efficiency.

Table 1: Participant Interview Questionnaire and Free-ridership Algorithm Question (From the Custom New Construction Participant Interview Guide) Response Score INTRODUCTION I am with and we are performing an evaluation of the Custom New C...

AI summary The text outlines an interview questionnaire used to evaluate the Custom New Construction program by Efficiency Nova Scotia, aiming to understand participants' decision-making processes in designing energy-efficient buildings beyond code requirements.

Project Background The participant operates four lobster holding tanks that are fed with seawater, one of which was previously unrefrigerated (Tank #1), while the other three (Tanks #2, #3, and #4) each had a refrigeration unit and a heat...

AI summary The project involves retrofitting lobster holding tanks with more efficient refrigeration systems. Tank #1 was unrefrigerated, while Tanks #2, #3, and #4 had refrigeration units. The Retrofit project included replacing R22 refrigerant with R449A and adding refrigeration units to Tanks #2 and #4. Performance data for both baseline and efficient refrigeration units were provided.

Tracked Savings Calculation For this project, an EOne project engineer created an Excel spreadsheet to calculate electrical energy consumption for all four tanks for both the base cases and efficient cases, using the refrigeration unit per...

AI summary An EOne project engineer developed an Excel spreadsheet to calculate electrical energy consumption for four tanks in both base and efficient scenarios, using refrigeration unit data, weather data, seawater temperatures, and on-site measurements to validate heat exchange efficiency. The spreadsheet also calculated peak demand savings during winter peak periods.

Revised Savings Calculation The Evaluator found that the assumptions and the analysis performed by EOne were generally sound. Moreover, after reviewing the savings calculations, the Evaluator found mistakes in some of the Excel formulas us...

AI summary The Evaluator found that EOne's assumptions were sound but identified errors in Excel formulas used to calculate refrigeration load, leading to a downward adjustment in consumption and demand savings. Additionally, the effective useful life (EUL) was adjusted from 15 to 11 years due to varying unit lifespans after refrigerant changes.

Adjustment Ratio Calculation Adjustment ratios are determined by comparing revised savings values with tracked savings values. Due to the revisions made to this project, the calculated adjustment ratio for energy savings was 0.825. $$\frac...

AI summary The adjustment ratio for energy savings is calculated by dividing the revised energy savings (105,425 kWh) by the tracked energy savings (127,826 kWh), resulting in an adjustment ratio of 0.825 due to revisions made to the project.

A. Participation Process - A1. At what point in the participation process does EPS become involved? - A2. When EPS first contacts participants, how well do they understand what "strategic energy management" implies? What are their expectat...

AI summary The document outlines a series of questions regarding the participation process in the Strategic Energy Management (SEM) program, focusing on EPS's involvement, understanding of SEM by participants, program structure, and differences between EPS and OEMs. It also explores how the SEM process interacts with other programs like the Custom Retrofit initiative and Energy Management Information Systems (EMIS).

APPENDIX XV SEM Participant Interview Guide

AI summary This document is an appendix containing a participant interview guide for the SEM (Smart Energy Manager) process. It outlines the structure and content of interviews with participants, likely related to energy management and efficiency programs.

B. Free-ridership and Spillover Series of questions to be asked for each measure. - B1. Without the support from EPS, would you have identified this energy efficiency opportunity? - 1. Yes - 2. No - 98. Don't know - 99. Refused - B2. [Ask...

AI summary This section outlines a series of questions to assess free-ridership and spillover effects related to energy efficiency projects. It asks whether support from EPS and Efficiency Nova Scotia influenced the identification and completion of these projects.

D. Participation Process - D1. We would like to validate with you which elements of the SEM process your organization has completed so far. Do you have: - i) An energy policy signed by the organization management? - ii) An assigned energy...

AI summary This section outlines the participation process for the Strategic Energy Management (SEM) program, asking organizations about their current energy management practices, reasons for non-implementation, and considerations regarding energy management information systems and program selection.

APPENDIX XVI SEM 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 included and fill...

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 EOne. The audit ensured consistency in parameters used for calculating program results and validated the calculation steps.

Table 1: 2023 SEM & EMIS Corrected Tracked Savings Program Component Result Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Gross Energy Savings – at the Generator 3.386 GWh 3.391 GWh 0.15% Gross Peak Dema...

AI summary Table 1 shows minor adjustments in energy and peak demand savings for the 2023 SEM & EMIS Corrected Tracked Savings, attributed to changes in line loss factors. The differences are minimal, ranging from 0.01% to 0.15%.

APPENDIX XVII SEM Project Review Protocol The SEM project review protocol was improved in 2023. It includes sections that served to review both bottom-up and top-down approaches, although only bottom-up approaches were used in 2023. Phone...

AI summary The SEM project review protocol was updated in 2023 to include both bottom-up and top-down approaches, though only bottom-up was used that year. The protocol involves reviewing EOne digital project files, followed by phone interviews or site visits to evaluate projects.

Table 1: 2023 SEM Energy Savings Adjustments Project Tracked Savings (kWh) Evaluated Savings (kWh) Adjustment Ratio Explanation for Adjustment 1 36,798 36,798 1.000 None. 2 633,512 633,512 1.000 None. 3 287,808 287,808 1.000 None. 4 1,745,...

AI summary The document presents two tables detailing energy savings adjustments for the 2023 SEM (Smart Energy Manager) program. Adjustments were made due to calculation errors and assumptions in the M&V (Measurement and Verification) process, impacting both tracked and evaluated savings. Specific projects had their savings adjusted based on factors like pump affinity laws and peak demand calculations.

This appendix summarizes all the recommendations made by the Evaluator as part of the 2023 SEM evaluation. Section Recommendations Executive Summary Recommendation #1: Consider including plant-level KPIs and their progression since program...

AI summary The appendix outlines three recommendations from the Evaluator's 2023 SEM evaluation. These include tracking plant-level KPIs, monitoring project implementation and savings, and improving communication of energy management's value, particularly in relation to decarbonization and competitiveness.

Table 1: Summary of 2023 Direct Installation Program Evaluation Program Evaluation Type Methodology Component Impact Process Market Small Business Energy Solutions Comprehensive1 X - › EOne staff interviews: Energy auditor, business develo...

AI summary The 2023 Direct Installation Program Evaluation for Small Business Energy Solutions includes comprehensive impact and process evaluations. The methodology involves interviews, surveys, audits, and calculations to assess program performance and effectiveness.

Table 2: Overall 2023 Direct Installation Participation and Evaluated Savings 2 Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit Energy Savings 467 Projects 9.180 GWh 0.81 7.451 GWh Lifetime Energy...

AI summary Table 2 outlines the 2023 Direct Installation Participation and Evaluated Savings, including energy savings, lifetime energy savings, peak demand savings, and annual GHG emission reductions. The table also provides the Net-to-Gross Ratio (NTGR) for SBES, which is the ratio of net savings to gross savings.

Table 3: Comparison of 2023 SBES Tracked and Evaluated Savings at the Generator 3 Gross Savings NTGR Net Savings Realization Rate Value Unit Value Unit Energy Savings Tracked Savings by EOne 8.915 GWh 0.86 7.629 GWh 98% Evaluation Results...

AI summary Table 3 compares the tracked and evaluated energy and peak demand savings from the 2023 SBES program, including the CDI pilot. Tracked savings by EOne are compared to evaluation results, showing slight differences in gross and net savings, along with realization rates.

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

AI summary EfficiencyOne (EOne), a non-profit organization, manages demand-side management (DSM) programs through the Efficiency Nova Scotia (ENS) franchise. The report evaluates the Direct Installation program, specifically the Small Business Energy Solutions (SBES) component, focusing on baseline definitions, savings calculation methodologies, parameter values, and net-to-gross ratios (NTGRs).

Table 4: Type of Evaluation Conducted for SBES, 2023 Program 2023 Program Component Process Market Impact Direct Installation SBES X - Comprehensive For each program, the Evaluator prepared a DSM evaluation report presenting key findings,...

AI summary Table 4 outlines the evaluation conducted for the Small Business Energy Solutions (SBES) program in 2023. The evaluation focused on direct installation and included a DSM evaluation report that detailed energy savings, peak demand savings, and GHG emissions reduction.

1.1 Description SBES offers incentives and resources to Nova Scotia small businesses to encourage them to make energy efficient upgrades in their facilities. To be eligible, businesses must consume less than 350,000 kWh in electricity annu...

AI summary SBES provides energy efficiency incentives and resources to small businesses in Nova Scotia, with eligibility based on annual electricity consumption. It offers two participation paths: Audit and DIY, with increased incentive amounts and extended project completion timelines since 2020. EOne also launched a CDI pilot in 2021 for direct installation of energy-efficient products.

1.3 Participation History In 2023, SBES rebated a total of 38,797 units: 477 through the Audit path and 38,320 through the DIY path. As presented in [Figure](#page-173-2) 3 below, SBES participation included 467 projects in 2023, which rep...

AI summary In 2023, the SBES program rebated 38,797 units, with a significant decrease in participation compared to 2022. DIY path projects remained the most popular, but overall participation dropped by 27%. Energy and peak demand savings also decreased by 29% in 2023. Lighting contributed slightly less to energy savings, while HVAC contributed slightly more.

2 SBES Evaluation Approach The 2023 SBES evaluation consisted of a comprehensive impact evaluation and a process evaluation. The evaluation for the Commercial Direct Install (CDI) pilot was a condensed evaluation as it was evaluated in a p...

AI summary The 2023 SBES evaluation included a comprehensive impact and process evaluation, with the Commercial Direct Install (CDI) pilot being a condensed evaluation due to prior assessment. The main objectives were to collect perspectives and calculate energy savings, peak demand savings, and GHG emissions.

Table 5: 2023 SBES Evaluation Approach Evaluation Objectives Research Questions Methodology Collect information on participant, partner, and staff perspectives › What is the level of satisfaction with the service among participants and con...

AI summary Table 5 outlines the 2023 SBES Evaluation Approach, which includes collecting participant and contractor perspectives, calculating gross and net results, and evaluating program effectiveness. It involves various methods such as interviews, surveys, tracking sheet audits, and site visits.

EUL Update As part of the 2020-2023 Measure Assessment activities, the Evaluator updated the EUL values of lighting measures for which baseline changes are anticipated during the measure lifetimes.

AI summary The Evaluator updated the Effective Useful Life (EUL) values for lighting measures as part of the 2020-2023 Measure Assessment activities, considering anticipated baseline changes during the measure lifetimes.

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

AI summary The document explains how net avoided GHG emissions for the Small Business Energy Solutions (SBES) program are calculated by multiplying net energy savings by a Nova Scotia-specific factor derived from NS Power data.

Table 6: Source of Awareness About SBES How Participants Learned about SBES 2019 2021 2023 Sample Size 50 50 46 From a contractor, equipment vendor, energy consultant 50% 24% 35% Through experience with the program component 8% 14% 20% Fro...

AI summary Table 6 shows how participants learned about the Small Business Energy Solutions (SBES) program across 2019, 2021, and 2023. The primary sources of awareness included contractors, ENS account representatives, and colleagues, with varying percentages over time. Table 7 indicates that participants most frequently initiated discussions about SBES.

Table 7: Who Initiated the Discussion About SBES? Who Initiated Discussions About Participating in SBES 2017 2019 2021 2023 Sample Size 70 50 50 46 You/your business initiated it 47% 26% 44% 57% Your contractor initiated it 29% 32% 28% 24%...

AI summary Table 7 shows that the majority of small businesses in Nova Scotia initiated discussions about participating in the Small Business Energy Solutions (SBES) program themselves, with a significant increase from 2017 to 2023. The primary motivation for participation was to reduce energy costs, followed by accessing rebates and becoming more energy efficient.

Table 8: Motivation to Participate in SBES Main Reason for Participating in SBES 2019 2021 2023 Sample Size 50 50 46 To reduce energy costs 60% 32% 35% To receive rebates 4% 10% 24% To upgrade measures/be more efficient - 22% 20% Already p...

AI summary Table 8 outlines the motivations of participants in the Small Business Energy Solutions (SBES) program from 2019 to 2023. The primary motivation shifted from reducing energy costs to receiving rebates and upgrading measures for efficiency. A significant portion of DIY participants were unaware of the audit option or did not find it necessary for their projects.

3.1.3 Contractor Perspectives Contractors regard SBES as an important resource for helping small business clients save money on energy efficiency projects and a sales tool for engaging with small business clients. All nine interviewed cont...

AI summary Contractors view SBES as a valuable tool for helping small businesses save on energy efficiency projects and generating business. Most contractors discuss EOne programs during initial sales interactions, while some use media and websites. Clients rarely initiate discussions about SBES, though many participate once informed.

3.2.1 Participants Participants were asked to rate the extent to which certain factors posed barriers to installing energy efficiency upgrades in their businesses. As outlined in [Table](#page-182-1) 9 below, financial challenges and lack...

AI summary Participants identified financial challenges and lack of funds as the most significant barriers to installing energy efficiency upgrades in their businesses, followed by time constraints and long application processing times. Information and technical support, as well as qualified contractors, were also noted as important factors. Concerns about rebate availability and upgrade effectiveness were minor barriers.

Table 9: Barriers to Participation in SBES 20 17 20 19 20 21 20 23 Barriers to Measure Implementation Sample Size Mean Sample Size Mean Sample Size Mean Sample Size Mean Financial challenges, even after rebate, such as lack of funds, takin...

AI summary Table 9 presents data on barriers to participation in the Small Business Energy Solutions (SBES) program, highlighting financial challenges, time constraints, and lack of knowledge or support as key issues. The data shows varying levels of concern across different years and sample sizes.

3.2.2 Dropped-out or Overdue Participants The barriers to participation outlined above were echoed by this group, the dropped-out or overdue participants identified costs, timelines, contractor availability, and supply chain issues as barr...

AI summary Dropped-out or overdue participants identified project costs, timelines, contractor availability, and supply chain issues as barriers to completing energy efficiency projects. Some cited higher contractor costs, while others faced delays due to application processing times and supply chain issues.

Table 10: Satisfaction with SBES Overall Overall Satisfaction with SBES 2017 2019 2021 2023 Sample Size 70 50 50 46 Mean 8.8 9.2 9.1 8.8 Don't know/refused excluded from calculations Table 11: Satisfaction with Aspects of SBES 20 17 20 19...

AI summary Table 10 and Table 11 provide data on customer satisfaction with the Small Business Energy Solutions (SBES) program across different years, highlighting sample sizes, mean satisfaction scores, and feedback on various aspects of the program such as audit reports, financing, contractor quality, and rebate processes.

s score indicates that most SBES participants are Promotors (93%), with very few Detractors (2%). Figure 7: Likelihood to Recommend SBES When asked for ideas to improve the program component, nearly two thirds of participants suggested EOn...

AI summary The SBES program has a high NPS score, with 93% of participants being Promotors. Participants suggested that EOne could improve the program by offering project financing and increasing awareness of on-bill financing options. Some also suggested expanding the range of eligible measures for rebates.

3.3.3 Contractors Contractors were generally satisfied with SBES. Satisfaction was highest with project documentation requirements (8.4), while it was lower with the application and rebate amounts. In contrast, contractors were dissatisfie...

AI summary Contractors participating in the SBES program expressed high satisfaction with project documentation requirements but were dissatisfied with the time it took to approve projects and the rebate amounts. Approval times ranged from six to 20 weeks, and rebate amounts were perceived as too low and unclear in calculation.

4 SBES Impact Evaluation The objectives of the 2023 SBES impact evaluation were to determine gross and net electrical energy and peak demand savings.

AI summary The 2023 SBES impact evaluation aimed to assess gross and net electrical energy and peak demand savings, providing insights into the effectiveness of the Small Business Energy Solutions program.

4.2 Gross Savings Gross savings correspond to the change in energy consumption resulting from actions taken by participants regardless of their reasons for participating. 7 For each SBES Audit or DIY project, EOne calculates gross savings...

AI summary Gross savings measure the change in energy consumption from participant actions, regardless of motivations. EOne calculates these savings using standard equations or custom calculations, while the CDI pilot uses unitary savings values.

4.2.1 Summary of Adjustments As part of the 2023 evaluation, the Evaluator conducted desk reviews complemented by on-site visits (n=42) to establish adjustment ratios and determine evaluated savings. In total, 25 lighting projects, 12 HVAC...

AI summary As part of the 2023 evaluation, the Evaluator conducted desk reviews and on-site visits to 42 projects to determine adjustment ratios for lighting, HVAC, and other measure categories. These ratios were used to revise savings estimates and extrapolate results for categories with acceptable margins of error.

Table 15: Factors for Converting SEER and HSPF to SEER2 AND HSPF2 Heat Pump Type SEER2 HSPF2 Ducted 0.95 0.85 Non-ducted 1.00 0.90 Packaged 0.95 0.84 9 Heat pumps installed through SBES do not have a required minimum coefficient of perform...

AI summary Table 15 provides conversion factors for SEER and HSPF to SEER2 and HSPF2 for different heat pump types. It notes that heat pumps installed through SBES do not have a required minimum COP at -15°C, so the absence of data does not indicate ineligibility.

4.2.2 Unitary Energy and Peak Demand Savings While savings from SBES Audit or DIY projects are established through calculations using data specific to each project, the CDI pilot relies on unitary savings values for each measure. For the C...

AI summary The CDI pilot uses unitary savings values for energy and peak demand, which have remained unchanged since the 2022 evaluation. These values are based on data from the 2020-2023 Measure Assessment and are used alongside equations and assumptions.

4.2.3 Installation Rates While installation rates are accounted for in the adjustment ratios for SBES Audit and DIY projects, CDI pilot adjustment ratios do not encompass installation rates. For the pilot, the Evaluator assumed an installa...

AI summary The document discusses installation rates in the context of SBES Audit and DIY projects, noting that CDI pilot adjustment ratios do not include installation rates. The Evaluator assumed a 100% installation rate for the pilot as no specific activities were conducted to determine installation rates during the 2023 evaluation.

4.2.4 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling. For the SBES Audit and DIY paths, these are ta...

AI summary Interactive effects refer to the impact of energy efficiency measures on other energy consumption elements like heating and cooling. These effects are considered in the SBES Audit and DIY paths using the EOne CIRx Screening Tool. Since 2016, building-specific factors have been used, and adjustments were made based on site observations. For the CDI pilot, average factors were established in 2020-2023 and have remained unchanged since 2022.

Table 16: Evaluated 2023 SBES Gross Energy and Peak Demand Savings – Audit Path Category of Measure Commercial Kitchen DHW HVAC Lighting Agriculture Total for All Categories Energy Savings Tracked Gross Energy Savings Without Adjustment Ra...

AI summary Table 16 evaluates the 2023 SBES gross energy and peak demand savings through an audit path, including tracked energy savings, adjustment ratios, line loss factors, and gross lifetime energy savings across various categories such as commercial kitchen, DHW, HVAC, and lighting.

Table 17: Evaluated 2023 SBES Gross Energy and Peak Demand Savings – DIY Path Category of Measure Agriculture Commercial Kitchen DHW HVAC Lighting Motors Refrigeration Renewable Generation Total for All Categories Energy Savings Tracked Gr...

AI summary Table 17 presents evaluated 2023 SBES (Small Business Energy Solutions) gross energy and peak demand savings for the DIY (Do-it-yourself) path. It includes metrics such as energy savings, adjustment ratios, effective useful life, and peak demand savings across various categories like HVAC, lighting, and refrigeration.

Table 18: Evaluated 2023 SBES Gross Energy and Peak Demand Savings – CDI Pilot Measure Category Lighting Water Heating Total for All Categories Energy Savings Tracked Gross Energy Savings without Interactive Effects – at the Meter (GWh) 0....

AI summary Table 18 evaluates the 2023 SBES Gross Energy and Peak Demand Savings from the CDI Pilot, showing energy and peak demand savings across lighting and water heating categories, including adjustments for interactive effects and line loss factors.

Table 19: Evaluated 2023 SBES Gross Energy and Peak Demand Savings – All Paths Program Path Audit DIY CDI Pilot Total Energy Savings Gross Energy Savings – at the Meter (GWh) 0.492 7.852 0.222 8.567 Line Loss Factor 1.069 1.071 1.093 - Gro...

AI summary Table 19 presents the evaluated 2023 SBES (Small Business Energy Solutions) gross energy and peak demand savings across different program paths, including Audit, DIY, and CDI Pilot, providing data on energy savings, line loss factors, effective useful life, and peak demand savings.

Figure 11 and Figure 12 below compare tracked gross savings to evaluated gross savings for energy and [peak dem](#page-198-0)and [savings re](#page-198-1)spectively. Evaluated gross energy savings are about 3% above tracked values, primari...

AI summary The text compares tracked and evaluated gross savings for energy and peak demand, noting a 3% and 1% difference respectively due to adjustments in lighting and HVAC measures. GHG emissions reductions were calculated using Nova Scotia-specific factors derived from Nova Scotia Power's 2022 data.

Table 20: Evaluated 2023 SBES GHG Gross Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 9.180 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annual GHG Emissi...

AI summary Table 20 presents evaluated 2023 SBES GHG gross emission reductions, including gross energy savings, the Nova Scotia-specific GHG emissions factor for electricity production, and gross annual GHG emission reductions. The section also refers to 'Net Savings' in the context of the analysis.

Table 23: Evaluated 2023 SBES Net Energy and Peak Demand Savings Measure Category Audit DIY CDI Pilot Total Energy Savings Gross Energy Savings – at the Meter (GWh) 0.492 7.852 0.222 8.567 NTGR 0.88 0.80 1.00 - Net Energy Savings – at the...

AI summary Table 23 presents the evaluated 2023 SBES net energy and peak demand savings, showing that SBES fell short of its energy and peak demand savings targets by 37% and 28%, respectively.

Table 24: Comparison of 2023 SBES Tracked and Evaluated Savings at the Generator 13 Gross Savings NTGR Net Savings Realization Rate Value Unit Value Unit Energy Savings Tracked Savings by EOne 8.915 GWh 0.86 7.629 GWh 98% Evaluation Result...

AI summary Table 24 compares the 2023 SBES tracked and evaluated savings at the generator. Tracked savings by EOne show 8.915 GWh of energy savings and 1.825 MW of peak demand savings, while evaluation results indicate slightly higher savings of 9.180 GWh and 1.840 MW, respectively. The net-to-gross ratio (NTGR) is used to calculate net savings from gross savings.

2023 SBES-Finding: Stakeholders experience dissatisfaction with processing times. Some SBES projects were impacted by longer-than-expected application processing times that caused subsequent delays or challenges to implementation. Overdue...

AI summary Stakeholders expressed dissatisfaction with the processing times for SBES applications, which caused delays in project implementation and issues with financing and material ordering. While some contractors noted competing projects and high demand as barriers, these were not significant enough to prevent participation in SBES energy efficiency projects.

Table 25: Overall 2023 Direct Installation Participation and Evaluated Savings 14 Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit SBES Energy Savings 46715 Projects 9.180 GWh 0.81 7.451 GWh Lifetim...

AI summary Table 25 presents data on the 2023 Direct Installation Participation and Evaluated Savings for SBES. It shows that energy savings were 9.180 GWh, below the target of 11.897 GWh, and peak demand savings were 1.491 MW, below the target of 2.070 MW. The NTGR is 0.81, and participation in SBES decreased in 2023.

E. Participant Recruiting (BDM) - E1. Please describe how you identify and engage potential new participants for the SBES program. - E2. How do you typically describe the value or benefits of SBES to potential participants? [ASK FOR MAIN B...

AI summary The section focuses on participant recruiting for the SBES program, asking about methods of identifying and engaging new participants, the value proposition of SBES, relevant messaging, and participant interests in specific energy measures.

- 2. No [SAY "PERHAPS YOU CAN HELP ME ANYWAY." CONTINUE] Hello, my name is and I am calling from Narrative Research, a Halifax-based survey research company. We are performing an evaluation of energy efficiency services and programs provid...

AI summary A representative from Narrative Research is contacting a business that participated in Efficiency Nova Scotia's Small Business Energy Solutions Program to gather feedback on the program's effectiveness. The information will be used to evaluate and improve the program.

[ IF NEEDED: You may have recently been contacted by MQO or by Efficiency Nova Scotia about your experience with the program. This survey is different as it focuses on other aspects of your participation in the program.] [IF NEEDED: The su...

AI summary The text outlines a survey process for participants in an Efficiency Nova Scotia program, focusing on small businesses. It includes options for respondents to confirm their participation, prompts for clarification, and procedures for handling responses.

B. Awareness and Motivations for Participating - B1. How did you learn about Efficiency Nova Scotia's Small Business Energy Solutions Program? [ DO NOT READ. MULTIPLE RESPONSE] - 1. From a contractor - 2. From an equipment vendor - 3. From...

AI summary The text outlines survey questions related to awareness and motivations for participating in Efficiency Nova Scotia's Small Business Energy Solutions Program, focusing on how participants learned about the program, who initiated the discussion, and the reasons for participation.

C. Free-Ridership for Audit Path [IF PROJECT TYPE IS AUDIT IN SAMPLE, ASK [C1](#page-17-0) TO [C9;](#page-19-0) OTHERWISE SKIP TO FREE-RIDERSHIP FOR DIY PATH (SECTION [D)](#page-19-1)] - C1. BEFORE learning about Small Business Energy Solu...

AI summary This section of the regulatory proceeding document asks questions about free-ridership in the context of the Small Business Energy Solutions Program. It explores whether businesses would have installed energy-efficient upgrades without the rebate or audit, and how likely they would have paid for the upgrades without financial assistance.

0-10 SCALE WITH END POINT LABELS– RECORD NUMBER - 98. Don't know - 99. Refused - C5. [IF TOTAL ENS REBATE>0 AND FINANCING=YES] Efficiency Nova Scotia gave a rebate to your business of $ and provided you with a loan for the energy-efficient...

AI summary This text presents a survey question asking businesses if they would have paid for energy-efficient upgrades without a rebate and 0% financing from Efficiency Nova Scotia, using a 0-10 scale.

0-10 SCALE WITH END POINT LABELS– RECORD NUMBER - 98. Don't know - 99. Refused - C8. [ASK IF C4 OR [C5](#page-18-1) ≥5] If there was no program rebate, no program financing, and no program audit, what is the likelihood that you would have...

AI summary The text presents a survey question asking respondents about the likelihood of postponing energy-efficient upgrades if there were no program rebate, financing, or audit, with response options on a 0-10 scale.

LIGHTING MEASURES SECTION

AI summary The Lighting Measures Section discusses the evaluation and implementation of lighting efficiency programs and measures. It focuses on the performance, cost-effectiveness, and impact of these measures on energy consumption and customer benefits.

[IF PROJECT TYPE=DIY AND LIGHTING=YES, ASK [D1](#page-20-0) TO [D9;](#page-22-0) OTHERWISE SKIP TO HVAC SECTION] The next questions will be about the lighting upgrades that were rebated and/or financed through the Small Business Energy Sol...

AI summary The text outlines a series of questions related to lighting upgrades financed or rebated through the Small Business Energy Solutions Program. It seeks to determine whether businesses had already decided to install energy-efficient lighting before learning about the program and how the rebate influenced their decision.

0-10 SCALE WITH END POINT LABELS– RECORD NUMBER - 98. Don't know - 99. Refused - D4. [IF TOTAL ENS REBATE >0 AND FINANCING=YES] Efficiency Nova Scotia provided your business with a rebate of $ and a loan for the energy-efficient lighting u...

AI summary The text presents survey questions related to the impact of the Small Business Energy Solutions program on business decisions regarding energy-efficient lighting upgrades, including rebate and financing influences and awareness of product certifications.

[DO NOT ACCEPT A RANGE – POSE [D6](#page-21-0) T[O D8](#page-21-1) SEQUENCE IN ORDER/DO NOT RANDOMIZE; REPEAT SCALE ONLY AS NECESSARY] D6. If there was no program rebate or financing, what is the likelihood that you would have installed th...

AI summary This question asks about the likelihood of installing the same model of lighting products without a program rebate or financing, focusing on customer behavior and program effectiveness.

0-10 SCALE WITH END POINT LABELS– RECORD NUMBER - 98. Don't Know - 99. Refused - D8. [ASK IF [D3](#page-20-1) OR [D4](#page-20-2) ≥5] If there was no program rebate or financing, what is the likelihood that you would have postponed install...

AI summary The text presents a question regarding the likelihood of postponing lighting upgrades by at least one year if there was no program rebate or financing, with response options including 'Don't Know' and 'Refused'.

- 99. Refused D9. I would like you to rate the influence of the following factors in your decision to install the energyefficient lighting upgrades. Use a scale of 0 to 10, where 0 is "No influence" and 10 is "Great influence". The first f...

AI summary The text presents a survey question asking respondents to rate the influence of various factors on their decision to install energy-efficient lighting upgrades, using a scale from 0 to 10. The factors include program rebates, on-bill financing, and information provided by Efficiency Nova Scotia or contractors. The survey includes options for 'Don't Know' and 'Refused'.

[IF PROJECT TYPE=DIY AND HVAC=YES, ASK [D10](#page-22-1) TO [D16;](#page-23-0) OTHERWISE SKIP TO SECTION [E]](#page-24-0) The next questions will be about the heat pumps that were rebated or financed through the Program and installed in yo...

AI summary The text presents a series of questions aimed at understanding the impact of the Small Business Energy Solutions Program on the installation of heat pumps in businesses. It asks whether businesses had already decided to install heat pumps before learning about the program and whether they would have proceeded without the rebate or financing.

[DO NOT ACCEPT A RANGE – POSE D14 – D15 SEQUENCE IN ORDER/DO NOT RANDOMIZE; REPEAT SCALE ONLY AS NECESSARY] D14. If there was no program rebate or financing, what is the likelihood that you would have installed exactly the same high-effici...

AI summary This question asks about the likelihood of installing a high-efficiency heat pump without program rebate or financing, focusing on the impact of financial incentives on customer behavior.

Factor (READ AND RANDOMIZE) Response a. [IF TOTAL ENS REBATE>0] The program rebate Response98 Don't Know 99 Refused b. [IF FINANCING =YES] The program on-bill financing Response98 Don't Know 99 Refused c. Information or advice provided by...

AI summary The text presents a table with factors related to a program rebate, on-bill financing, and contractor information, with responses indicating 'Don't Know' or 'Refused.' The table appears to be part of a regulatory proceeding, likely related to energy efficiency programs.

READ AND ROTATE [(E1](#page-24-1) + [E2](#page-24-2) TO [E4)](#page-24-3) AND [(E5](#page-25-0) + [E6](#page-25-1) TO [E8)](#page-25-2) SEQUENCES - E1. Before participating in the Small Business Energy Solutions program in 2023 , had your...

AI summary The text includes survey questions related to participation in the Small Business Energy Solutions program and previous engagement with Efficiency Nova Scotia programs and promotional materials. It explores the influence of past participation and promotional efforts on business decisions regarding energy efficiency upgrades.

G. Barriers - G1. To what extent do you consider the following as barriers preventing your business from installing other energy efficiency upgrades? Use a scale of 0 to 10, where 0 means 'not at all a barrier' and 10 means 'a major barrie...

AI summary The text presents a survey question asking respondents to rate various barriers to installing energy efficiency upgrades on a scale from 0 to 10. The barriers include financial challenges, time constraints, concerns about rebate availability, need for information or technical support, and the availability of qualified contractors.

B1. How did you learn about Efficiency Nova Scotia's Small Business Energy Solutions Program? 2023 2021 Sample Size 46 50 From a contractor 24% - From a contractor, equipment vendor, energy consultant - 24% Through experience with the prog...

AI summary The table shows how participants learned about Efficiency Nova Scotia's Small Business Energy Solutions Program in 2023 and 2021, with the most common sources being contractors, experience with the program, and the ENS website.

C. Free-ridership for Audit Path C1. BEFORE learning about the Small Business Energy Solutions rebates and financing and having your facility evaluated by a Small Business Energy Auditor, had your business already decided to install the sa...

AI summary This section of the regulatory proceeding document addresses free-ridership in the context of the Small Business Energy Solutions Program, asking whether businesses had already decided to install energy-efficient upgrades before being evaluated by a Small Business Energy Auditor.

C3. [IF C1<>1] IF YOUR BUSINESS HAD NOT RECEIVED THE FREE AUDIT OF YOUR FACILITY BY A CERTIFIED ENERGY AUDITOR, WOULD YOU HAVE IDENTIFIED THE OPPORTUNITY FOR THE ENERGY-EFFICIENT UPGRADES THAT YOU INSTALLED? No answer to this question in 2...

AI summary The text asks businesses whether they would have identified energy-efficient upgrades without a free audit and whether they would have paid for these upgrades without a rebate. No responses were provided in 2023.

Base: Respondents who had an audit and received a rebate for the energy-efficient upgrades C5. Efficiency Nova Scotia gave a rebate to your business of $ and provided you with a loan for the energy-efficient upgrades. If your business had...

AI summary The text asks respondents who received a rebate and financing from Efficiency Nova Scotia for energy-efficient upgrades whether they would have paid for the full cost of the upgrades without the rebate and financing, using a scale from 0 to 10.

Base: Respondents who had an audit and received a rebate and financing for the energy-efficient upgrades C6. If there was no program rebate, no financing, and no audit, what is the likelihood that you would have installed less efficient eq...

AI summary The question asks respondents about the likelihood of installing less efficient equipment or retaining old equipment if there were no program rebate, financing, or audit available for energy-efficient upgrades.

Base: Respondents who had an audit and who installed more than one measure C8. If there was no program rebate, no program financing, and no program audit, what is the likelihood that you would have postponed making energy efficient upgrade...

AI summary The text asks respondents who had an audit and installed multiple energy efficiency measures about the likelihood of postponing upgrades by at least one year if there were no program rebates, financing, or audits.

Base: Respondents who had an audit and who would not likely have paid or financed the cost of the energy-efficient upgrades they installed in absence of SBES C9A. I would like you to rate the influence of the following factors in your deci...

AI summary The text discusses respondents who had an energy audit and would not have paid for energy-efficient upgrades without the SBES program. It asks them to rate the influence of various factors on their decision to install the upgrades.

C9E. Information or advice provided by Efficiency Nova Scotia staff 2023 2021 Sample Size 1 1 MEAN 10.0 Mean excludes responses of 'Don't know' and 'Refused'

AI summary This section presents data on the sample size and mean values from Efficiency Nova Scotia staff responses, excluding 'Don't know' and 'Refused' responses. The data is compared between 2023 and 2021.

2023 2021 Sample Size 19 41 Yes 47% 12% No 53% 83% Don't know - 5% Base : DIY respondents who installed energy-efficient lighting upgrades

AI summary A table comparing responses from DIY respondents who installed energy-efficient lighting upgrades in 2023 and 2021 shows a significant increase in 'Yes' responses (47% in 2023 vs. 12% in 2021), with a corresponding decrease in 'No' responses (53% in 2023 vs. 83% in 2021). The sample size also decreased from 41 in 2021 to 19 in 2023.

D3. Efficiency Nova Scotia provided your business with a rebate of $ for the energy-efficient lighting upgrades. If your business had not received this rebate, would you have paid the full cost of the lighting upgrades? Please use a scale...

AI summary Efficiency Nova Scotia provided a rebate for energy-efficient lighting upgrades. The question asks if the business would have paid the full cost without the rebate, using a scale from 0 to 10.

Base : DIY respondents who received a rebate D4. Efficiency Nova Scotia provided your business with a rebate of $ and a loan for the energy-efficient lighting upgrades. If your business had not received the rebate and 0% financing from Eff...

AI summary The question asks DIY respondents who received a rebate from Efficiency Nova Scotia to rate on a scale of 0 to 10 whether they would have paid and financed the cost of energy-efficient lighting upgrades without the rebate and 0% financing.

D5. Were you aware that the lighting products rebated through the Small Business Energy Solution Program are premium products certified by Design Light Consortium or ENERGY STAR®? 2023 2021 Sample Size 19 41 Yes 84% 61% No 11% 37% Don't kn...

AI summary The text presents survey results regarding awareness of certified lighting products in the Small Business Energy Solution Program and the likelihood of installation without rebates. In 2023, 84% of respondents were aware of the certified products, compared to 61% in 2021. The mean likelihood of installation without rebates was 4.9 in 2023 and 3.5 in 2021.

D8. If there was no program rebate or financing, what is the likelihood that you would have postponed installing the lighting upgrades by at least one year? 2023 2021 Sample Size 13 16 MEAN 7.2 5.4 Mean excludes responses of 'Don't know' a...

AI summary This question asks about the likelihood of postponing lighting upgrades without program rebates or financing. The table shows mean responses for 2023 and 2021, with sample sizes of 13 and 16 respectively.

Base : DIY respondents who would not likely have paid or financed the full cost of the lighting upgrades in absence of SBES D9A. I would like you to rate the influence of the following factors in your decision to install the energyefficien...

AI summary The text discusses DIY respondents who may not have been able to afford energy-efficient lighting upgrades without the support of the Small Business Energy Solutions (SBES) program. It also asks respondents to rate the influence of various factors on their decision to install these upgrades.

D12. Efficiency Nova Scotia provided your business with a rebate of $ for the heat pumps. If your business had not received this rebate, would you have paid the full cost of the heat pumps? Please use a scale of 0 to 10, where 0 means that...

AI summary Efficiency Nova Scotia provided a rebate for heat pumps to a business. The question asks whether the business would have paid the full cost of the heat pumps without the rebate, using a scale from 0 to 10.

Base: DIY respondents who installed HVAC upgrades and received a rebate for the heat pumps D13. Efficiency Nova Scotia provided your business with a rebate of $ and a loan for your heat pumps. If your business had not received the rebate a...

AI summary The question asks DIY respondents who installed HVAC upgrades and received a rebate for heat pumps whether they would have paid and financed the cost of the heat pumps without the rebate and financing from Efficiency Nova Scotia, using a scale from 0 to 10.

Base: Respondents who would not likely have paid or financed the full cost of the heat pumps in absence of SBES D16A.I would like you to rate the influence of the following factors in your decision to install the highefficiency heat pumps....

AI summary The document discusses factors influencing the decision to install high-efficiency heat pumps, focusing on respondents who likely would not have been able to afford or finance the full cost without the SBES program.

E1. Before participating in the Small Business Energy Solutions program in 2023, had your business at any time in the past participated in any Efficiency Nova Scotia programs? 2023 2021 Sample Size 46 50 Yes 41% 38% No 46% 60% Don't know 1...

AI summary The document presents survey data on participation in Efficiency Nova Scotia (ENS) programs prior to joining the Small Business Energy Solutions (SBES) program in 2023. It compares responses from 2023 and 2021, showing a slight increase in participation and a decrease in uncertainty. Additionally, it examines how previous ENS program participation influenced decisions to install energy-efficient upgrades.

2023 2021 Sample Size 4 3 (#) Agree 3 2 Disagree 1 1 Base: Respondents who previously participated in another ENS program component, and respondents in Audit or DIY path

AI summary The table shows survey results from 2023 and 2021, comparing the number of respondents who agreed and disagreed. The sample size was 4 in 2023 and 3 in 2021. The base for the survey includes respondents who previously participated in another ENS program component and those in Audit or DIY path.

E4. Because of your business' previous participation in an Efficiency Nova Scotia program and what was learned by participating in that program, you took into account the cost effectiveness of energy efficient upgrades when evaluating diff...

AI summary The text discusses how a business considered the cost effectiveness of energy efficient upgrades based on its previous participation in an Efficiency Nova Scotia program when evaluating options for a facility.

2023 2021 Sample Size 19 (#) 19 (#) Agree 17 16 Disagree 2 3 E5. Before participating in the Small Business Energy Solutions program in 2023, had you at any time in the past seen Efficiency Nova Scotia promotional materials advertising the...

AI summary The data shows a high level of agreement among participants in the Small Business Energy Solutions program regarding the influence of Efficiency Nova Scotia's promotional materials on their decision to install energy-efficient upgrades, with 85% in 2023 and 80% in 2021 reporting they had seen the materials.

E7. The promotion of energy efficiency carried out by Efficiency Nova Scotia prompted you to consider installing energy efficiency measures in your facility before participating in the Small Business Energy Solutions Program.

AI summary Efficiency Nova Scotia's promotion of energy efficiency influenced the consideration of installing energy efficiency measures before participating in the Small Business Energy Solutions Program.

E8. The promotion of energy efficiency carried out by Efficiency Nova Scotia prompted you to take into account the cost-effectiveness of energy efficient upgrades when evaluating different options for the facility.

AI summary Efficiency Nova Scotia's promotion of energy efficiency influenced the consideration of cost-effectiveness in evaluating energy efficient upgrades for the facility.

F4A. [ASK IF TOTAL ENS REBATE > 0] On a scale of 0 to 10, where 0 is "not at all satisfied" and 10 is "completely satisfied", how satisfied are you with each of the following? Let me know if you were not involved with any of these aspects.\

AI summary This text asks respondents to rate their satisfaction with the Efficiency Nova Scotia (ENS) rebate program on a scale from 0 to 10, where 0 is 'not at all satisfied' and 10 is 'completely satisfied'.

F5. Do you have any recommendations for improving the Small Business Energy Solutions program? Anything else? 2023 Sample Size 46 Offer financing/help with cost 63% Offer more measures eligible to rebates 15% Increase rebates 9% Monitor th...

AI summary The Small Business Energy Solutions (SBES) program received feedback from 46 respondents in 2023. The majority (63%) suggested offering financing or help with costs, while other recommendations included expanding eligible measures, increasing rebates, improving application monitoring, enhancing marketing, and simplifying the program.

G1A. To what extent do you consider the following as barriers preventing your business from installing other energy efficiency upgrades? Use a scale of 0 to 10, where 0 means 'not at all a barrier' and 10 means 'a major barrier'.\

AI summary The text asks respondents to rate, on a scale from 0 to 10, the extent to which various factors prevent their business from installing other energy efficiency upgrades, focusing on identifying barriers.

Financial challenge, even after rebate, such as lack of funds, taking too long to recoup the investment, and so on. 2023 Sample Size 46 MEAN 6.0 Mean excludes responses of 'Not applicable', 'Don't know/Don't recall' and 'Refused'.

AI summary The text highlights a financial challenge faced by participants, even after receiving rebates, including issues such as lack of funds and difficulty in recouping investments. The data from 2023 shows a sample size of 46 with a mean of 6.0.

G1C. Concern that rebates are not available or that upgrades won't work as well as advertised 2023 Sample Size 46 MEAN 4.9 Mean excludes responses of 'Not applicable', 'Don't know/Don't recall' and 'Refused'.

AI summary This section discusses concerns about the availability of rebates and the effectiveness of energy upgrades, based on a 2023 survey with a sample size of 46 and a mean score of 4.9, excluding certain responses.

G1E. Availability of qualified contractors to complete upgrade or renovation projects 2023 Sample Size 46 MEAN 5.0 Mean excludes responses of 'Not applicable', 'Don't know/Don't recall' and 'Refused'.

AI summary The document presents a statistical summary regarding the availability of qualified contractors for upgrade or renovation projects in 2023, based on a sample size of 46, with a mean score of 5.0.

Introduction Hello, may I please speak with? Hello, my name is, from Narrative Research, a Halifax-based Canadian research company. We are conducting an evaluation of the Small Business Energy Solutions Program provided by Efficiency Nova...

AI summary The introduction presents an evaluation of the Small Business Energy Solutions Program by Narrative Research, a Halifax-based research company, conducted on behalf of Efficiency Nova Scotia.

[ASK ALL] Let's step back and go through your experience with the program. - D1. How did you learn about Efficiency Nova Scotia's Small Business Energy Solutions Program? INTERVIEWER: DO NOT READ [MULTIPLE RESPONSE] - 1. From a contractor,...

AI summary The text outlines a series of questions related to Efficiency Nova Scotia's Small Business Energy Solutions Program, focusing on how participants learned about the program, their experiences with contractors, and their satisfaction with program processes.

[ASK FOR EACH RESPONSE IN E3A-I= 5-10 (RESPONDENT INDICATES SPILLOVER - THEY WERE INFLUENCED BY PROGRAM TO INSTALL EE EQUIPMENT WITHOUT REBATES)] - E4. Would it be ok if someone from the program evaluator, Econoler, called within the next...

AI summary The respondent indicates that they were influenced by a program to install energy efficiency equipment without receiving rebates. They are being asked if a program evaluator from Econoler can contact them for more specific questions about the equipment installed.

APPENDIX V SBES: Contractor Interview Guide

AI summary This document provides an interview guide for contractors participating in the Small Business Energy Solutions Program (SBES). It outlines the structure and content of interviews to ensure consistency and thoroughness in contractor engagement.

Introduction Hello, may I speak with [Contact name]? My name is and I am calling from Narrative Research, a market research firm. Efficiency Nova Scotia has mandated the evaluation of its Small Business Energy Solutions Program and they in...

AI summary Efficiency Nova Scotia has mandated an evaluation of its Small Business Energy Solutions Program. The evaluation involves contacting contractors who have worked with businesses participating in the program to gather their perspectives.

A. Awareness and Motivations for Participating - A1. What is your primary motivation for helping your customers participate in the Efficiency Nova Scotia Small Business Energy Solutions program? - A2. How, if at all, do you promote the pro...

AI summary This section of the proceeding explores the motivations and awareness of participants in the Efficiency Nova Scotia Small Business Energy Solutions program, including how the program is promoted, client inquiries, and circumstances under which it may not be recommended.

B. Barriers B1. What is the most important barrier preventing your small business customers from improving the energy efficiency of their buildings or equipment? - B2. To what extent do the following factors prevent your company from compl...

AI summary The text asks about barriers to energy efficiency improvements for small businesses, focusing on supply chain delays, lack of qualified tradespeople, competing projects, and time constraints related to program paperwork.

C. Satisfaction with Program - C1. On a scale of 0 to 10, where 0 is "not at all satisfied" and 10 is "completely satisfied", how satisfied are you with each of the following? Let me know if you were not involved with any of these aspects....

AI summary This section of the regulatory proceeding document gathers feedback on the Small Business Energy Solutions (SBES) program, focusing on participant satisfaction with rebate amounts, application processes, approval times, documentation requirements, and overall program value. It also asks for reasons for dissatisfaction and suggestions for improvement.

Table 1: 2023 SBES Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Value Unit Value Unit Value SBES – Audit & DIY Gross Energy Savings – at the Generator 8.653 GWh 8.681 GWh 0.32% Gross Pea...

AI summary The 2023 SBES Corrected Tracked Savings table shows slight increases in tracked savings after corrections. The changes were due to missing values added by the Evaluator, with adjustments both upward and downward, resulting in minimal overall impact.

APPENDIX VII SBES: Sampling Methodology and Protocol for Desk Reviews and Site Visits

AI summary This document outlines the sampling methodology and protocol for desk reviews and site visits under the Small Business Energy Solutions Program (SBES). It provides a structured approach to evaluating program implementation and effectiveness.

Sampling Methodology As part of the 2023 evaluation, the Evaluator conducted 42 desk reviews of SBES projects complemented by on-site visits at the facilities of participants. In total, 25 lighting projects, 12 HVAC projects, and five proj...

AI summary The 2023 evaluation involved 42 desk reviews and on-site visits for SBES projects, including 25 lighting, 12 HVAC, and five other measure projects. A stratified random sampling plan was used to reduce variance, based on a tracking sheet with 1,160 projects from 298 participants.

Table 1: FR – Audit Path C3. If your business had not received the free audit of your facility by a certified energy auditor, would you have identified the opportunity for the energy efficient upgrades that you installed? IF 1. Yes: EMPTY...

AI summary The table outlines an audit path for evaluating the impact of energy efficiency programs on businesses, focusing on whether they would have identified and funded energy-efficient upgrades without program support.

Table 1: SO – site visit SO1. Have you installed additional energy efficiency measures other than those implemented through this program? IF 1. Yes: CONTINUE IF 2. No OR DK OR REF: END SO2. Did you receive, or plan on requesting, financing...

AI summary The table outlines a survey process to assess additional energy efficiency measures taken by participants beyond the program, including financing sources, influence of the program, and quantification of spillover savings. The appendix refers to 2023 recommendations for the Small Business Energy Solutions Program.

Table 5: 2023 Residential DR Evaluation Approach Evaluation Objectives Research Questions Methodology Establish available DR capacity results for the Domestic Hot Water Direct Load Control pathway › Are the data in the tracking sheet compl...

AI summary Table 5 outlines the 2023 Residential Demand Response (DR) Evaluation Approach, focusing on assessing the Domestic Hot Water Direct Load Control pathway. It includes evaluation objectives, research questions, and methodologies such as tracking sheet audits and data analysis.

Baseline Definition Selection Baselines for DR events are often established based on an average of similar days prior to the actual event. This is the approach adopted by EOne, and the Evaluator aimed to refine this approach by considering...

AI summary The document discusses the selection of a baseline definition for Demand Response (DR) events, comparing different scenarios to determine the most accurate method. The Evaluator found that using the average load of 10 non-event days prior to the event, without adjusting for pre-event load, provided a more precise estimate with a mean percent error (MPE) of 6.1% for mornings and 2.3% for evenings.

3.2.3 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency products has an impact on the energy consumption of other elements such as heating and cooling. For the DHW Direct Load Control pat...

AI summary The text discusses interactive effects in homes, where energy efficiency products can impact heating and cooling. For the DHW Direct Load Control pathway, it is assumed that interactive effects are negligible as the tank temperature only decreases slightly.

Table 8: Evaluated 2023 Residential DR New Available DR Capacity Shifted Aquanta Total Number of Units 22 41 63 In-service Rate (%) 81% 82% - Unitary Available DR Capacity (W/controller) 385 403 - Portion of Peak Period with Installed Cont...

AI summary Table 8 and Table 9 present data on the evaluated 2023 residential demand response (DR) new and total available DR capacity, including metrics such as the number of units, in-service rate, unitary available DR capacity, and available DR capacity at the meter and generator. Figure 3 outlines the net evaluated and targeted available DR capacity.

Meter Data Analysis with Project Reviews and Follow-up Phone Interviews For each project, the Evaluator reviewed how tracked available DR capacities were established. The Evaluator reviewed the baseline methodology based on both data analy...

AI summary The Evaluator conducted meter data analysis, project reviews, and follow-up phone interviews to assess demand response (DR) capacities. The baseline methodology was validated through data analysis, literature reviews, and participant interviews. DR capacity was analyzed per hour and during specific events, with results detailed in Subsection 7.2.1.

7.2.2 Interactive Effects In a building, interactive effects occur when the implementation of energy efficiency products has an impact on the energy consumption of other elements such as heating and cooling. For the Aggregator pathway, int...

AI summary Interactive effects in buildings occur when energy efficiency products influence the energy consumption of heating and cooling systems. These effects are included in the DR capacity calculation for the Aggregator pathway, as meter data reflect whole building consumption.

7.2.3 Effective Useful Life Although no energy savings were expected under the Aggregator pathway, the Evaluator established an effective useful life (EUL) value to express for how many years available DR capacity might persist, i.e. as lo...

AI summary The document discusses the Effective Useful Life (EUL) of Demand Response (DR) capacity under the Aggregator pathway, stating that an EUL of one year should be used for both total and new DR capacity due to the lack of data on participant retention and the nature of program participation.

8 BNI DR Key Findings and Recommendations As mentioned previously, the main objective of the 2023 BNI DR evaluation was as follows: › Calculate BNI DR results, namely new and total available DR capacities This section provides the Evaluato...

AI summary The 2023 BNI DR evaluation found that the program fell short of its available DR capacity target, with only 2.365 MW achieved instead of the 3.0 MW target. Participation in DR events was high, but the baseline methodology used by EOne could be improved by using an additive same-day adjustment factor. Available DR capacity varied significantly across events.

APPENDIX II Residential DR: Baseline Definition Selection Details Baselines for demand response (DR) events are often established based on an average of similar days prior to the actual event. This was the approach adopted by EOne, and the...

AI summary The document discusses the methodology for establishing baselines for residential demand response (DR) events, focusing on variations in baseline day selection, number of days considered, and adjustment factors. The Evaluator tested multiple scenarios using 15-minute interval water heater data and compared predicted and actual load during non-event days.

3. 1.2 Peak Demand Savings Factors 137 3.7.2 Peak Demand Savings Factors189 3.7.3 Solar Photovoltaic Measures189 (1) Solar Photovoltaic Systems189 4 EFFECTIVE USEFUL LIFE 191 4.1 LED Lamps and Fixtures191 4.2 Other Measures 196 APPENDIX I...

AI summary The document contains tables and appendices related to energy efficiency measures, including peak demand savings factors, effective useful life of LED lamps and fixtures, and interactive effects factors for residential lighting products. It also includes detailed calculations and summaries for various energy efficiency programs and technologies.

Table 25: Interactive Effects Factors for Pipe Insulation and Hot Water Tank Wraps 35 Table 26: Interactive Effects Factors for Water Heating Measures36 Table 27: Peak Demand-to-energy Ratios for Water Heating Measures 38 Table 28: Drain W...

AI summary The text presents a series of tables detailing energy savings values for various energy efficiency measures, including pipe insulation, hot water tank wraps, drain water heat recovery systems, heat pump water heaters, low-flow showerheads, faucet aerators, thermostatic shower valves, and space heating measures such as mini-split and ground-source heat pumps. These tables provide data on unitary energy savings, peak demand-to-energy ratios, and installation rates for efficiency programs.

Table 116: ENERGY STAR Certified Pool Pump Measure Summary 127 Table 117: Unitary Savings Values of ENERGY STAR Certified Pool Pumps 128 Table 118: Three-element Water Heater Measure Summary 129 Table 119: Domestic Water Heater Timer Measu...

AI summary The document contains a series of tables summarizing energy efficiency measures, including ENERGY STAR certified pool pumps, three-element water heaters, domestic water heater load control, LED lamps, linear LED fixtures, outdoor LED fixtures, directional and architectural LED fixtures, and occupancy/motion sensors. These tables provide measure summaries, unitary savings values, baseline wattages, and other relevant data.

Table 163: Faucet Aerator Measure Summary173 Table 164: Electrical Unitary Savings Values for Faucet Aerators174 Table 165: Average Hot Water Usage per Faucet174 Table 166: Thermostatic Shower Valve Measure Summary175 Table 167: Electrical...

AI summary The text lists numerous tables summarizing energy efficiency measures, including faucet aerators, thermostatic shower valves, pipe insulation, hot water tank wraps, compressed air leak repairs, VFDs, solar PV systems, and LED lighting. These tables provide details on energy savings, installation rates, and baseline evolution for various efficiency measures.

Table 1: Measure Assessment Change Log Change Type Section Description Date Update 2.2.3(7) Pipe Insulation Update EUL value 2023-03-09 New Measure 2.3.3(10) Smart Thermostats for Electrical Heating Systems Renamed from the smart thermosta...

AI summary This document details updates and new measures in the Measure Assessment Change Log, including changes to EUL values, renaming of measures, and the addition of new measures such as smart thermostats for electrical heating systems and compressed air leak repairs, all dated March 9, 2023.

Change Type Section Description Date New Measure 3.6 (1) Variable Frequency Drives for non-HVAC Applications Added variable frequency drives for non HVAC fans and pumps applications since this measure was added to the BER Application Rebat...

AI summary The document details updates and changes to energy efficiency programs, including new measures such as variable frequency drives for non-HVAC applications and window film kits, as well as updates to savings values based on recent data and removal of certain measures no longer incented as of 2022.

2023 Evaluation Edition Change Type Section Description Date Removal Clothes Dryer Replacement (ARet) No longer offered. 2024-03-12 Update 2.4.3 (2) Refrigerator Replacement and (3) Freezer Replacement Measures are now listed under HomeWar...

AI summary The 2023 Evaluation Edition details several changes to energy efficiency programs, including the removal of certain measures and updates to others. Notable changes include the removal of the Clothes Dryer Replacement and Booster Pump programs, and updates to refrigerator and water heater measures, as well as changes to air sealing product listings.

KEY DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Bias Systematic deviations of measurements from the true value. Billing calibration An activity that consists of adjusting the expected energy savings based...

AI summary The text defines key terms related to energy measurement and demand response, including accuracy, bias, billing calibration, confidence interval, demand response, and displaced wattage. These definitions are relevant to energy efficiency and utility operations.

In-service rate The proportion of incentivized products that are installed and operating. This rate is usually applied to programs through which rebates are offered in-store and products are likely to be stored for a certain period before...

AI summary The document defines various metrics used in assessing energy efficiency programs. These include in-service rate, installation rate, lifetime energy savings, line loss factor, margin of error, market effects, net savings, net-to-gross ratio, non-sampling error, peak coincidence factor, peak demand savings, precision, random sampling error, realization rate, and sample size.

Electrical Energy Savings The following equation is used to calculate electrical energy savings. (ℎ) - = (ℎ) × (1 - + (%)) × Installation Rate " - − " (%)

AI summary The document presents an equation for calculating electrical energy savings, incorporating factors such as installation rate and percentage adjustments. The equation is central to understanding how energy savings are quantified in the context of electrical systems.

Lifetime Energy Savings Lifetime energy savings correspond to the savings that occur over the lifetime of the measures installed. The following equation is used to calculate lifetime energy savings. (ℎ) = (ℎ) × ()

AI summary Lifetime energy savings are calculated based on the savings over the lifetime of installed measures, using a specific equation provided in the document.

Table 2: Included Measures Program Components Residential Lighting EPI LED Lamps Instant Savings LED Fixtures Instant Savings Dimmer Switches Instant Savings Motion Sensors Instant Savings LED Nightlights EPI Water Heating Solar Domestic H...

AI summary This table outlines various program components offered under different initiatives in Nova Scotia, including residential lighting, water heating, space heating, appliances, and energy efficiency measures. Each component is associated with specific programs such as Instant Savings, Green Heat, and EPI, highlighting the range of energy efficiency and conservation efforts being implemented.

2 RESIDENTIAL MEASURE GROSS SAVINGS PARAMETERS The following sections outline all necessary parameters to calculate gross energy savings for prescriptive residential measures.

AI summary The document outlines parameters necessary for calculating gross energy savings for prescriptive residential measures, focusing on residential energy efficiency initiatives.

2.1.1 Interactive Effects In a home, the implementation of energy efficient lighting products interacts with the energy consumption of other elements such as heating and cooling. The interactive effects factors for residential lighting pro...

AI summary The text discusses the interactive effects of energy-efficient lighting products in homes, particularly how they interact with heating and cooling systems. It references a 1992 study by ADS Groupe-Conseil Inc. for Hydro-Québec and notes that climate data from Nova Scotia and Quebec are comparable, allowing the study's results to be applicable to EfficiencyOne (EOne) lighting measures.

Table 3: Interactive Effects Factors for Residential Lighting Products Installed Indoors Type of Home Homes3 Energy Interactive Effects Factor4 Peak Demand Interactive Effects Factor5 Heat Pump Heating and Air Conditioning 14% -58% / 2.2 +...

AI summary Table 3 presents interactive effects factors for residential lighting products installed indoors, showing varying impacts on energy use and peak demand across different home types, with weighted averages indicating overall effects.

Interactive Effects on Electrical Heating The Hydro-Québec study found that efficient lighting installed in electrically heated single-family homes without air conditioning results in an interactive effects factor for heating of -58%.

AI summary The Hydro-Québec study found that efficient lighting installed in electrically heated single-family homes without air conditioning results in an interactive effects factor for heating of -58%.

Interactive Effects on Air Conditioning The Hydro-Québec study found that efficient lighting installed in homes with air-conditioning units results in an interactive effects factor for cooling of 3.6%. By analyzing the Hydro-Québec study,...

AI summary The Hydro-Québec study found that efficient lighting in homes with air-conditioning units reduces cooling load by 3.6% through an interactive effects factor. The Evaluator adjusted the COP and conditioned home area percentage to account for improved air-conditioning efficiency, resulting in an updated interactive effects factor of 3.1%.

Interactive Effects on Heat Pump Cooling As for cases where cooling is provided by a heat pump, the Evaluator adjusted the cooling interactive effects by dividing the 22% value by the efficiency ratio of mini-split heat pumps and AC units...

AI summary The Evaluator adjusted the cooling interactive effects for heat pumps by dividing the 22% value by the efficiency ratio of mini-split heat pumps and AC units (COP 3.5/2.5), and also multiplied by the ratio of conditioned home area (100%/40%), resulting in an interactive effects factor of 6.4% for cooling.

Peak Demand The Hydro-Québec report assumes that 10% of the heat is released through exterior walls and ceilings and does not contribute to interactive effects. Since the peak demand period occurs during the heating period when lighting an...

AI summary The Hydro-Québec report assumes that 10% of heat is released through exterior walls and ceilings, leading to an interactive effects factor of -90% for peak demand savings in electrically heated homes, including those with heat pumps, during the heating period when lighting and heating systems are on.

Combining the values presented in Table 3 and Table 4, Table 5 summarizes the interactive effects factor established for each lighting measure. & lt;sup>7 Including 9 W, 9.5 W, 10 W, 18 W, and 7 W black-out bulb LED lamps installed through...

AI summary The text discusses the interactive effects factor for various lighting measures, combining data from Table 3 and Table 4 into Table 5. It includes specific LED lamps and rebated lamps installed through EPI and Instant Savings programs, as well as a reference to a 2016 study on socket types.

Table 5: Overall Interactive Effects Factors for Residential Lighting Measures Measure Type of Home Interactive Effects Factors Energy Savings Peak Demand Savings Heat Pump Heating and Air Conditioning -20.0% x 97% = -19.4% -90% x 97% = -8...

AI summary Table 5 presents the overall interactive effects factors for residential lighting measures, including energy savings and peak demand savings across different home types and heating/cooling configurations. The table includes various lighting technologies such as LED lamps, reflector lamps, and motion sensors, showing their impact on energy and peak demand savings.

2.1.2 Peak Demand Savings Factors For all indoor and outdoor LED lamps, nightlights, and fixtures, the peak demand-to-energy ratio is based on the Northeast Residential Lighting Hours-of-Use (NERHOU) 14 study, which established a peak-dema...

AI summary The document discusses peak demand savings factors for lighting measures, referencing studies like the NERHOU and EPI Residential Lighting Metering Study. It recommends using a peak-demand-to-energy ratio of 0.162 W/kWh for indoor and outdoor LED lamps and similar ratios for motion sensors based on the 2016-2018 DSM Plan.

2.1.3 Lighting Measures

AI summary This section discusses lighting measures within the context of energy efficiency programs, focusing on initiatives aimed at reducing energy consumption through the adoption of efficient lighting technologies.

Summary Table 7 presents a summary of the values used to calculate A-type, reflector, and decorative LED lamp savings. The detailed methodology follows.

AI summary Table 7 summarizes the values used to calculate savings for A-type, reflector, and decorative LED lamps. The detailed methodology for these calculations is provided in the following text.

Table 7: LED Lamp Measure Summary Parameter EPI Instar nt Savings Reference Measure Description and d Identification Measure Description LED Lamps to reduce el ectricity consump otion. Additional Notes A-type, Reflector, and Decorative LED...

AI summary Table 7 provides a summary of LED lamp measures, including installation rates, energy savings, and interactive effects factors for different programs like EPI and Instar. It outlines the varying savings based on lamp types and wattages, as well as the impact on peak demand and energy efficiency.

Electrical Unitary Energy Savings The equation below determines the unitary savings values of LED lamps for each pairing of old and new wattages. Table 8 lists the parameters and corresponding values used in the equation and the resulting...

AI summary The text presents a formula for calculating annual energy savings from replacing traditional lamps with LED lamps, based on differences in wattage, hours of use per day, and annual conversion factors.

Table 8: Electrical Unitary Savings Values for LED Lamps Type of LED Old Wattage (W) New Wattage (W) Displaced Wattage (W) Operating Hours (hrs/day) Unitary Savings Value (kWh/year) EPI 9 W Replacing 25 W 25 9 16 15.8 9 W Replacing 29 W 29...

AI summary Table 8 presents the electrical unitary savings values for LED lamps, detailing the displaced wattage and annual energy savings for various LED replacements. This data is crucial for assessing energy efficiency improvements in lighting programs.

Hours of Operation The daily hours of operation value is based on the Northeast Residential Lighting Hours-of-use (NERHOU) 19 study, which found that the average runtime is 2.7 hours/day for all types of bulbs and 2.9 hours per day for eff...

AI summary The document discusses the determination of hours of operation (HOU) for lighting in Nova Scotia, referencing the NERHOU study and a metering study conducted in 2016-2017. It explains the rationale behind using 2.7 hours/day for all bulbs and 2.9 hours/day for efficient bulbs, considering theories like differential socket selection, shifting usage, and the snapback effect. Adjustments are made to avoid overestimating savings, with specific considerations for programs like Instant Savings and EPI.

Table 9: Electrical Unitary Savings Values for LED Lamps Unitary Energy Type of LED Savings Value (kWh/year) Peak Demand-to energy Ratio (W/kWh) Unitary Peak Demand Savings Value (W/year) EPI 9 W Replacing 25 W 15.8 0.162 2.56 Type of LED...

AI summary Table 9 presents electrical unitary savings values for various LED lamps, including energy savings in kWh/year and peak demand savings in W/year. The table includes different types of LED lamps and their corresponding savings when replacing traditional bulbs.

Table 10: EPI LED Lamp Installation Rate Path Installation Rate Margin of Error Source Regular 94% 2.1% 2021 EPI evaluation (on-site visits) Mail-out 77% N/A 2022 EPI evaluation (proportion of regular EPI participants that received this me...

AI summary Table 10 presents the EPI LED lamp installation rates for regular and mail-out methods, along with their margins of error and sources. The UMP provides a recommendation for upstream programs like Instant Savings.

(2) LED Fixtures

AI summary The section discusses LED fixtures, which are energy-efficient lighting solutions. It highlights their importance in energy efficiency programs and their potential role in reducing electricity consumption.

Table 11: LED Fixture Measure Summary Ins stant Savings Parameter ENERGY STAR Certified LED Recessed Downlight Fixtures ENERGY STAR Certified LED Fixtures ENERGY STAR Certified LED Fixtures with Motion Sensors Reference Measure Description...

AI summary Table 11 presents a summary of LED fixture measures, including energy savings, installation rates, and useful life. It compares different types of LED fixtures, such as recessed downlights and fixtures with motion sensors, and includes parameters like unitary energy savings, peak demand savings, and interactive effects factors for energy and peak demand.

Table 12: Electrical Unitary Savings Values for LED Fixtures Type of LED Fixture Average Wattage (W) Average Equivalent Wattage (W) Displaced Wattage (W) Old Operating Hours (hrs/day) New Operating Hours (hrs/day) Unitary Savings Value (kW...

AI summary Table 12 provides electrical unitary savings values for different types of LED fixtures, including displaced wattage and savings in kWh/year. The table includes data on ENERGY STAR certified LED fixtures, fixtures with motion sensors, and their respective energy savings compared to traditional lighting.

Table 13: 2022 ENERGY STAR Certified Lamp Light Output Equivalency Wattage23 to Incandescent Lamp Old Incandescent Lamps (W) ENERGY STAR Certified Lamp Light Output (Lumens) 40 450 60 800 75 1,100 100 1,600 150 2,600 The Evaluator analyzed...

AI summary The text discusses the equivalency of ENERGY STAR certified LED lamps to traditional incandescent lamps in terms of light output. It also highlights that most LED fixtures with motion sensors replaced halogen lamps, while a small percentage replaced incandescent lamps. The evaluation considers compliance with energy efficiency regulations.

Table 14: Dimmer Switch Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Dimmer switches to reduce electricity consumption N/A Additional Notes - General Parameters Installation...

AI summary Table 14 provides a summary of the dimmer switch measure, including parameters such as installation rate, energy savings, and peak demand savings. It outlines the unitary energy savings and interactive effects factors for both energy and peak demand.

The unitary savings value for dimmer switches is based on the general lighting equation adapted as follows to consider the effect of dimming on energy consumption. $$Energy \ Savings \ \left[\frac{kWh}{yr}\right] = \frac{(Average \ Wattage...

AI summary The unitary savings value for dimmer switches is calculated using a modified general lighting equation that incorporates the effect of dimming on energy consumption. The formula considers average wattage, percentage dimmed, and hours of use per day to estimate annual energy savings in kilowatt-hours.

Table 15: Electrical Unitary Savings Values for Dimmer Switches Parameter Value Source Average Wattage [W] 2 x 43 W = 86 W As per Canadian regulation, the wattage of general-service lamps with a luminous flux in the range of 750 and 1,050...

AI summary Table 15 provides electrical unitary savings values for dimmer switches, including average wattage, dimmed wattage percentage, daily hours of operation, and annual energy savings. These values are based on Canadian regulations, OPA measures, and data from NERHOU.

Table 16: Motion Sensor Measure Summary Instant Savings Parameter Indoor Motion Sensor Indoor Motion Sensor with Dimmer Switch Outdoor Motion Sensor Reference Measure Description and Identification Measure Description Motion sensors t o re...

AI summary Table 16 provides a summary of motion sensor measures, including installation rates, useful life, and energy savings parameters for indoor and outdoor motion sensors. It highlights differences between indoor and outdoor sensors and references subsections for additional details.

Indoor Motion Sensors The unitary savings value for indoor motion sensors is based on the general lighting equation adapted as follows to consider the effect of motion sensing on energy consumption. $$Energy \, Savings \, \left[\frac{kWh}{...

AI summary The unitary savings value for indoor motion sensors is calculated using a modified lighting equation that accounts for motion sensing effects on energy consumption. The equation considers average wattage, hours of use, percentage reduction, and annual calculations.

Table 17: Electrical Unitary Savings Values for Indoor Motion Sensors Parameter Value Source Average Wattage [W] 2 x 43 W = 86 W As per Canadian regulation, the wattage of general-service lamps with a luminous flux in the range of 750 and...

AI summary The table presents electrical unitary savings values for indoor motion sensors, including average wattage, daily hours of operation, reduction in hours, and annual energy savings. The data is based on Canadian regulations, NERHOU, and OPA Prescriptive Measures and Assumptions List.

The unitary savings value for indoor motion sensors is based on the general lighting equation adapted as follows to consider the effects of motion sensing and dimming on energy consumption. The annual energy savings corresponds to the diff...

AI summary The unitary savings value for indoor motion sensors is calculated using an adapted general lighting equation that accounts for motion sensing and dimming effects on energy consumption. The formula calculates annual energy savings by comparing base consumption with reduced consumption from the motion sensor and dimmer switch.

Table 18: Unitary Savings Values for Indoor Motion Sensors with Dimmer Switch Parameter Value Source Average Wattage [W] 2 x 43 W = 86 W As per Canadian regulation, the wattage of general-service lamps with a luminous flux in the range of...

AI summary Table 18 presents unitary savings values for indoor motion sensors with dimmer switches, including parameters like average wattage, dimmed wattage, daily hours of operation, and calculated annual energy savings. The values are based on Canadian regulations, OPA assumptions, and NERHOU data.

Outdoor Motion Sensors The unitary savings value for outdoor motion sensors is based on the general lighting equation adapted as follows to consider the effect of motion sensing on energy consumption. $$Energy \, Savings \, \left[\frac{kWh...

AI summary The document discusses the calculation of energy savings from outdoor motion sensors using a modified lighting equation that accounts for changes in hours of use. The formula is provided, along with a reference to a table summarizing the parameters and resulting savings.

Table 19: Unitary Savings Values for Outdoor Motion Sensors Parameter Value Source Average Wattage [W] (85% x 275.6 W) + (15% x 55.5 W) = 242.6 W Assumption: 85% of outdoor lighting is for security spotlights with an average wattage of 275...

AI summary Table 19 presents unitary savings values for outdoor motion sensors, including average wattage, old and new operating times, and annual energy savings. The data is based on assumptions about lighting types and their usage patterns, with sources cited from the 2011 OPA Prescriptive Measures and Assumptions List.

Summary Table 20 presents a summary of the values used to calculate savings for LED nightlights. The detailed methodology follows.

AI summary Table 20 summarizes the values used to calculate savings for LED nightlights, with a detailed methodology provided in the following text.

Table 20: LED Nightlight Measure Summary Parameter EPI Reference Measure Description and Identification Measure Description and Identification Measure Description LED nightlights to reduce electricity consumption N/A Additional Notes - Gen...

AI summary Table 20 provides a summary of the LED nightlight measure under the EPI program, including parameters like installation rate, effective useful life, and energy savings. The table references specific subsections for detailed calculations and assumptions.

Table 21 lists the parameters and corresponding values used in the equation below for LED nightlights and the resulting unitary values. The values for displaced wattages and hours of operation are consistent with the values used by other j...

AI summary The text discusses the calculation of energy savings for LED nightlights using a standardized formula, with parameters such as displaced wattages and hours of operation aligned with values used in other jurisdictions like Pennsylvania.

Table 21: Electrical Unitary Savings Values for LED Nightlights Parameter Value Source 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 nightlight...

AI summary Table 21 provides electrical unitary savings values for LED nightlights, comparing old and new wattage, average displaced wattage, hours of operation, and annual energy savings. It highlights the energy savings from replacing traditional nightlights with LED ones through the Efficient Product Installation (EPI) program.

Table 23: Solar Fixture Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description LED Solar fixtures replacing non- LED fixtures connected to the grid N/A Additional Notes - General Para...

AI summary Table 23 provides a summary of the Solar Fixture Measure, focusing on parameters such as installation rate, energy savings, and peak demand savings. It outlines the replacement of non-LED fixtures with LED solar fixtures and includes calculations for energy and demand savings.

Since solar fixtures consume no electricity from the grid, all the electrical energy consumed by the baseline fixture is saved. Different unitary savings values apply according to the location of the lamps or fixtures, although the only so...

AI summary The text explains how solar fixtures with motion sensors save energy by consuming no electricity from the grid. It provides a formula to calculate energy savings based on baseline wattage, old hours of use, and other parameters. The calculation is adapted for outdoor motion sensor fixtures.

Table 24: Unitary Savings Values for Solar Fixtures Parameter Value Source Average Wattage [W] 275.6 W Assumption: Security spotlight average wattage assuming a representative mix42 Old Operating Time [hrs/day] 4.75 2011 OPA Prescriptive M...

AI summary Table 24 presents unitary savings values for solar fixtures, including average wattage, old operating time, and calculated energy savings. The data is based on assumptions and sources such as the 2011 OPA Prescriptive Measures and Assumptions List.

Hot Water Insulation Measures For hot water insulation measures, namely pipe insulation and hot water tank wraps, the interactive effects factors are based on engineering calculations to account for the duration of the heating and cooling...

AI summary The document outlines the methodology for calculating interactive effects of hot water insulation measures, such as pipe insulation and hot water tank wraps, considering factors like heating and cooling seasons, system efficiency, and building type differences between single-family homes and apartments.

Table 25: Interactive Effects Factors for Pipe Insulation and Hot Water Tank Wraps Parameter Energy Interactive Effects During Heating Period Energy Interactive Effects During Cooling Period Total Energy Interactive Effects Peak Demand Int...

AI summary Table 25 presents interactive effects factors for pipe insulation and hot water tank wraps, analyzing energy and peak demand impacts across different heating and cooling scenarios in single-family homes and apartments. The data indicates significant energy savings during heating periods and varying effects during cooling periods.

Table 26: Interactive Effects Factors for Water Heating Measures Measure Type of Home Interactive Effects Factors for Energy Savings Interactive Effects Factors for Peak Demand Savings Source Drain Water Heat Recovery Solar Domestic Hot Wa...

AI summary Table 26 presents interactive effects factors for various water heating measures, including energy savings and peak demand savings, across different home types. Factors range from -90% to +5.2%, with sources ranging from assumptions to calculations. The table is part of a section discussing peak demand savings factors.

Table 27: Peak Demand-to-energy Ratios for Water Heating Measures Measure Peak Demand-to-energy Ratio (W/kWh) Source Drain Water Heat Recovery Heat Pump Water Heater Low-flow Showerhead Faucet Aerator 0.162 RES-Water Heat, Navigant 2016-20...

AI summary Table 27 presents peak demand-to-energy ratios for various water heating measures, including Faucet Aerator and Solar Domestic Hot Water. The table highlights that solar domestic hot water systems provide no peak demand savings due to the sun setting during peak demand periods.

(1) Drain Water Heat Recovery

AI summary The section titled 'Drain Water Heat Recovery' introduces a topic related to energy efficiency and water heating systems. It does not provide specific details or arguments at this point in the document.

Table 28: Drain Water Heat Recovery Measure Summary Parameter MHEEP Reference Measure Description and Identification Measure Description Drain water heat recovery for high-efficiency water heating N/A Additional Notes - General Parameters...

AI summary Table 28 provides a summary of the Drain Water Heat Recovery Measure under the MHEEP program, including parameters such as installation rate, useful life, and energy savings. The table outlines the measure's description, electrical savings parameters, and related calculations.

ℎ = × ℎ Table 29: Electrical Unitary Energy Savings Values for Drain Water Heat Recovery Systems Parameter MHEEP Source Number of Persons per Household [person] 3.6 2022 MHEEP tracking sheet Number of Showers per Person per Day [shower] 0....

AI summary Table 29 presents electrical unitary energy savings values for Drain Water Heat Recovery Systems, including parameters like number of showers per person, average shower duration, and energy savings per occupant, calculated from various sources and simulations.

Installation Rates Installation rates for drain water heat recovery systems are estimated at 100% due to their relatively high cost.

AI summary Installation rates for drain water heat recovery systems are estimated at 100% due to their relatively high cost.

Table 30: Solar Domestic Hot Water Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Description Solar domestic hot water heating for water heating from renewable energy N/A Additional Notes - Ge...

AI summary Table 30 summarizes the Solar Domestic Hot Water Measure, including its description, installation rate, useful life, and energy savings parameters. The table highlights that the measure has a 100% installation rate, a 20-year useful life, and no unitary energy savings as it is calculated using RETScreen.

Summary Table 31 presents a summary of the values used to calculate heat pump water heater (HPWH) savings. The detailed methodology follows.

AI summary Table 31 summarizes the values used to calculate heat pump water heater (HPWH) savings, with a detailed methodology provided in the following sections.

Table 31: Heat Pump Water Heater Measure Summary Parameter HEA, MHEEP Instant Savings Reference Measure Description and Identification Measure Description Heat pump wa ter heater for high -efficiency wat er heating Additional Notes Value f...

AI summary Table 31 provides a summary of heat pump water heater measures, including energy savings, peak demand savings, and other parameters like installation rate and useful life. The table compares data from HEA, MHEEP, Instant Savings, and other reference points, with some values derived from calculations and subsections of the document.

Table 32: Electrical Unitary Savings Values for Heat Pump Water Heaters HEA, MHEEP stant Savings Parameter Symbol Non- Electrical Space Heating Electric Resistance Space Heating Heat Pump Space Heating Non- Electrical Space Heating Electri...

AI summary Table 32 presents electrical unitary savings values for heat pump water heaters, including savings figures, shares of electrical water heaters in Nova Scotia, and average unitary energy savings. The data is sourced from Ecotope inc. and Statistics Canada, with additional references to tracking sheets and studies.

Table 33: Low-flow Showerhead Measure Summary Parameter Е PI Reference Measure Description and Identifica Measure Description and Identification Measure Description Low-flow s showerheads on to reduce domestic ho t water N/A Singl e-family...

AI summary Table 33 summarizes the Low-flow Showerhead Measure, including parameters such as installation rates, energy savings, and peak demand savings. The table provides details on flow rate reductions, useful life, and energy savings metrics for different categories of homes and apartments.

Table 34: Electrical Unitary Energy Savings Values for Low-flow Showerheads EF 기 Parameter Symbol Single-family Homes Apartments Source Baseline Flow Rate [gpm] Q base Variable (2.0 gpm, 2.25 gpm, or 2.5 gpm) Variable (2.0 gpm, 2.25 gpm, o...

AI summary Table 34 provides electrical unitary energy savings values for low-flow showerheads in single-family homes and apartments. It includes parameters such as baseline and low-flow rates, number of people per household, average number of showers, and average shower time, sourced from various EPI program manuals and studies.

EF Pl Parameter Symbol Single-family Homes Apartments Source Percentage of Hot Water Used in Showers %dhw 63% DeOreo et al. 58 Number of Days per Year [days/year] N days 365 Convention Specific Heat of Water [BTU/lb°F] Срн20 1 Convention D...

AI summary The text presents a table with parameters related to hot water usage and energy savings calculations. It discusses the efficiency of electrical water heaters, flow rate reductions, and unitary energy savings for single-family homes and apartments, with a focus on the EPI Mail-out pilot program.

Table 36: Faucet Aerator Measure Summary Parameter EPI Reference Measure Description and Ide Measure Description and Identification Measure Description Faucet aerators to red water consumption uce domestic hot N/A Additional Notes Single-f...

AI summary Table 36 provides a summary of the Faucet Aerator Measure under the Efficient Product Installation (EPI) program. It outlines parameters such as installation rate, effective useful life, and energy savings, including unitary energy savings and peak demand savings.

The equation below is used to calculate the annual unitary savings value for faucet aerators. $$\begin{split} &Energy \, Savings \left[\frac{kWh}{yr}\right] \\ &= \frac{\left(DHW_{base} - DHW_{efficient}\right) \left[\frac{gal}{day}\right]...

AI summary The document provides equations for calculating annual unitary savings values for faucet aerators, including formulas for base and efficient domestic hot water consumption, and references a table listing parameters and resulting savings values.

Table 37: Electrical Unitary Savings Values for Faucet Aerators Parameter Symbol Value for Single-family Homes Value for Apartments Source Baseline Flow Rate [gpm] Q base 1.39 1.39 DeOreo et al. in Residential End Uses of Water Study Updat...

AI summary Table 37 presents electrical unitary savings values for faucet aerators, including baseline and low-flow rates, number of people per household, daily water use per person, and the percentage of hot water used by faucet aerators, with sources cited for each parameter.

Parameter Symbol Value for Single-family Homes Value for Apartments Source Number of Faucets per Household n faucets 3.1 2.0 Single-family homes: EPI 2021 onsite visits Apartments: assumption Specific Heat of Water [BTU/lb°F] Срн20 1 Conve...

AI summary The document presents a table with parameters related to water heater energy usage and savings for single-family homes and apartments. It references the EPI Mail-out pilot and uses unitary savings of 110 kWh/year for single-family homes, as they are the most common participants in the EPI program.

Table 38: EPI Faucet Aerator Installation Rate Path Installation Rate Margin of Error Source Regular 85% 6.8% 2021 EPI Evaluation (on-site visits) Mail-out 18% N/A 2022 EPI Evaluation (proportion of regular EPI participants receiving this...

AI summary Table 38 presents the EPI Faucet Aerator Installation Rate, showing an 85% installation rate for regular installations with a 6.8% margin of error, and an 18% installation rate for mail-out installations, with data sourced from evaluations and a Direct Mail pilot by the IESO.

Table 39: Thermostatic Shower Valve Measure Summary Parameter EPI Reference Measure Description and Identification Measure Description Thermosta atic shower valves to re duce dome stic hot wat er consump otion Single-fam nily homes Apartme...

AI summary Table 39 provides a summary of the Thermostatic Shower Valve Measure, including installation rates, energy savings, and other parameters. It outlines details such as unitary energy savings, peak demand-to-energy ratio, and interactive effects factors for both energy and peak demand savings.

Table 40: Electrical Unitary Energy Savings Values for Thermostatic Shower Valves Parameter Symbol Value for Single- family Homes Value for Apartments Source Flow Rate [gpm] q Variable (1.5 gpm for low-flow showerheads, otherwise: 2.0 gpm,...

AI summary Table 40 presents electrical unitary energy savings values for thermostatic shower valves, including parameters like flow rate, number of people per household, average number of showers, and behavioural waste time. These values are based on data from EPI tracking sheets and other studies.

Parameter Symbol Value for Single family Homes Value for Apartments Source Percentage of Hot Water Used in Showers %DHW 63% DeOreo et al.71 Number of Days per Year [days/year] ndays 365 Convention Specific Heat of Water [BTU/lb·°F] CpH2O 1...

AI summary The table provides parameters related to hot water usage in showers, including percentages, temperatures, and efficiency metrics for electrical water heaters. It also mentions installation rates for thermostatic shower valves.

Table 41: Thermostatic Shower Valve Installation Rate Installation Rate Margin of Error Source 88% 13.2% 2021 EPI Evaluation (on-site visits) 71 Obtained based on the total domestic water consumption level in showers per household (28.1 gp...

AI summary Table 41 provides the installation rate of thermostatic shower valves at 88% with a margin of error of 13.2%, sourced from the 2021 EPI Evaluation. The data is derived from domestic water consumption levels in showers and hot water use statistics from DeOreo et al. (2016).

Summary Table 42 presents a summary of the values used to calculate pipe insulation savings. The detailed methodology follows.

AI summary Table 42 summarizes the values used to calculate pipe insulation savings, with a detailed methodology provided for reference.

Table 42: Pipe Insulation Measure Summary Parameter EPI Reference Measure Description and Identification Measure Description Pipe insulation to reduce domestic hot water consumption N/A Additional Notes - Installation Rate Installation Rat...

AI summary Table 42 summarizes the Pipe Insulation Measure under the Efficient Product Installation (EPI) program. It outlines parameters such as installation rate, energy savings, and peak demand savings. The table references subsections for detailed calculations and includes notes about the effective useful life and interactive effects factors.

As presented in Table 43, the annual unitary savings value for pipe insulation was identified through Ontario Power Authority (OPA) 2011 73 values and amounts, established at 12.7 kWh per linear foot.

AI summary The annual unitary savings value for pipe insulation was determined using values from the Ontario Power Authority (OPA) in 2011, set at 12.7 kWh per linear foot.

Table 43: Unitary Savings Value for Pipe Insulation Parameter EPI Unitary Energy Savings (per ft) [kWh/year] 12.7 & lt;sup>73 Ontario Power Authority (OPA), OPA Prescriptive Measures and Assumptions List , December 2010

AI summary Table 43 provides the unitary energy savings value for pipe insulation, with a value of 12.7 kWh/year per foot. The data is sourced from the Ontario Power Authority (OPA) Prescriptive Measures and Assumptions List from December 2010.

Table 45: Hot Water Tank Wrap Measure Summary Parameter EPI Reference Measure Description and Iden tification Measure Description Hot water tank wrap that water consumption N/A Additional Notes Single-family homes Apartments General Parame...

AI summary Table 45 provides a summary of the Hot Water Tank Wrap measure, including installation rates, energy savings parameters, and other relevant details. The table outlines specific values for single-family homes and apartments, referencing various subsections for additional information.

Table 46: Electrical Unitary Savings Values for Hot Water Tank Wraps Parameter Symbol Value for Single-family Homes Value for Apartments Source Layer 1: Interior Insulation of Tank External Radius of the Layer [m] r e 0.300 0.280 Giant 75...

AI summary Table 46 presents electrical unitary savings values for hot water tank wraps, including parameters such as thermal conductivity, internal and external radii, and thermal resistance for single-family homes and apartments. The data is sourced from Giant Inc. and other calculations.

Parameter Symbol Value for Single-family Homes Value for Apartments Source Layer 2: Tank Wrap External Radius of the Layer [m] re 0.351 0.331 Estimated from Frost King Insulation Blanket Specifications77 Internal Radius of the Layer [m] ri...

AI summary The document provides technical parameters and calculations related to the thermal efficiency of water heater insulation blankets for single-family homes and apartments. It includes details on insulation layer dimensions, thermal resistance, heat transfer rates, and energy savings estimates.

2.3 Space Heating

AI summary This section discusses space heating, a critical component of energy use in residential and commercial settings, highlighting its significance in energy efficiency and sustainability initiatives.

2.3.1 Interactive Effects Since space heating measures target heating and cooling loads directly, the impact of these measures on heating and cooling is considered in the unitary savings. Therefore, as presented in [Table](#page-193-3) 48,...

AI summary The document discusses the assumption that interactive effects factors for space heating measures are nil, as these measures directly target heating and cooling loads, and their impact is considered in unitary savings.

Table 48: Interactive Effects Factors for Space Heating Measures Measure Interactive Effects Factor for Energy Savings Interactive Effects Factor for Peak Demand Savings Source Mini-split Heat Pump Central Air-source Heat Pump Ground-sourc...

AI summary Table 48 presents interactive effects factors for various space heating measures, including heat pumps, wood stoves, and air sealing products. The table indicates that some measures, like wood stove/fireplace inserts, have no interactive effects, while others, such as wood furnace/boiler, have 0% interactive effects for both energy savings and peak demand savings.

Table 49: Peak Demand-to-energy Ratios for Space Heating Measures Measure Peak Demand-to energy Ratio (W/kWh) Source Mini-split Heat Pumps Central Air-source Heat Pumps N/A Ground-source Heat Pumps Wood Stoves/Fireplace Inserts N/A Pellet...

AI summary Table 49 presents peak demand-to-energy ratios for various space heating measures, including heat pumps, wood and pellet stoves, and thermostats. The table includes data sources and assumptions, highlighting the energy efficiency of different technologies.

Table 50: Mini-split Heat Pump Measure Summary Parameter Green Heat HEA MHEEP Reference Measure Description and Identification Measure Description Mini-split heat pumps for high-efficiency space heating Additional Notes Fully electrically...

AI summary Table 50 provides a summary of the Mini-split Heat Pump Measure, including details on installation rates, effective useful life, and energy savings parameters. The table compares two programs, Green Heat and HEA, and references additional information in subsections of the document.

Unitary Peak Demand Savings For Green Heat and HEA, the unitary peak demand unitary savings for MSHPs are calculated using the variables defined and listed in the equation and [Table](#page-196-0) 51 below. $$Peak\ Demand\ Savings_W = \fra...

AI summary The document discusses the calculation of unitary peak demand savings for MSHPs (Mini-Split Heat Pumps) using a specific formula involving variables such as HC_min, COP_base_min, and COP_ee_min. This calculation is relevant for Green Heat and HEA (Home Energy Assessment).

Table 52: Central Air-source Heat Pump Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure Description Central air-source (air-to-air and air-to-water) heat pumps for high-efficiency space heat...

AI summary Table 52 provides a summary of the Central Air-source Heat Pump Measure, including parameters such as installation rate, effective useful life, and energy savings calculations. The table references various subsections and modeling techniques used in the analysis.

Table 54: Ground-source Heat Pump Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure Description Ground-source heat pumps for high-efficiency space heating N/A Additional Notes - General Param...

AI summary Table 54 provides a summary of the Ground-source Heat Pump Measure, including its description, installation rate, useful life, and energy savings parameters. The table outlines details on unitary energy savings, peak demand-to-energy ratio, and interactive effects factors for energy and peak demand savings.

The electrical unitary energy savings for GSHPs are calculated using the variables defined and listed in the equation and [Table](#page 1-2) 55 below. $$\begin{split} Energy \, Savings \, _{kWh} &= Heating \, Savings + Cooling \, Savings \...

AI summary The text provides a formula for calculating electrical unitary energy savings for ground-source heat pumps (GSHPs), incorporating variables such as heating and cooling savings, performance factors, and operating hours.

Table 55: Electrical Unitary Savings Values for Ground-source Heat Pumps Parameter Symbol Value Source Rated heating capacity of the new heat pump [BTU/h] 𝐻𝐶 Specification data for each installed system AHRI certified value Rated cooling c...

AI summary Table 55 presents electrical unitary savings values for ground-source heat pumps, including parameters such as heating and cooling capacities, performance factors, and conversion factors. These values are sourced from AHRI certified data, assumptions, and technical reference manuals.

Summary [Table](#page-2-0) 56 presents a summary of the values used to calculate wood and pellet stove and fireplace insert savings. The detailed methodology follows.

AI summary Table 56 summarizes the values used to calculate savings from wood and pellet stove and fireplace insert efficiency. The detailed methodology for these calculations is provided in the proceeding document.

Table 56: Wood and Pellet Stove and Fireplace Insert Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure Description fuel Wood and pellet stoves and fireplace inserts for space heating from ren...

AI summary Table 56 presents a summary of energy savings parameters for wood and pellet stoves and fireplace inserts, including unitary energy savings, peak demand savings, and interactive effects factors. The table also includes reference details and parameters such as effective useful life and installation rates.

Table 57: Electrical Unitary Energy Savings Values for Wood and Pellet Stoves Greer n Heat HE A Parameter Parameter Symbol Pellet Stove/Fireplace Insert Wood Stove/Fireplace Insert Pellet Stove/Fireplace Insert Source Coefficient of perfor...

AI summary Table 57 presents electrical unitary energy savings values for wood and pellet stoves, comparing baseline electric resistance and heat pump performance. It includes parameters like coefficient of performance (COP) and energy savings in kWh/year, with data sources such as HOT2000 energy models and AHRI certified values.

Table 58: Unitary Peak Demand Savings Values for Wood and Pellet Stoves and Fireplace Inserts Green Ho eat, HEA Parameter Wood stove/ Fireplace Insert with electrical baseline Pellet stove/ Fireplace Insert with electrical baseline Wood st...

AI summary Table 58 presents unitary peak demand savings values for wood and pellet stoves and fireplace inserts, comparing different baseline scenarios. The table includes data from the 2013 Evaluation HOT2000 Energy Models, highlighting energy efficiency metrics for various heating systems.

Table 59: Wood and Pellet Boiler and Furnace Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure Description Wood and pellet boilers and furnaces for space heating from renewable fuel Fuel Wood...

AI summary Table 59 summarizes the energy savings and parameters associated with wood and pellet boilers and furnaces for space heating. It includes details on installation rates, useful life, energy savings, and peak demand savings for various fuel types and efficiency levels.

Table 60: Electrical Unitary Energy Savings Values for Wood and Pellet Boilers and Furnaces Gree n Heat н EA Parameter Symbol Wood Furnace or Boiler Pellet Furnace or Boiler Wood Furnace or Boiler Pellet Furnace or Boiler Source Coefficien...

AI summary Table 60 presents electrical unitary energy savings values for wood and pellet boilers and furnaces, comparing baseline electric resistance and heat pump systems. It includes coefficients of performance and energy savings calculations based on conventions and evaluations from 2013.

The unitary peak demand savings values are presented in [Table](#page-9-0) 61 below. Table 61: Unitary Peak Demand Savings Values for Wood and Pellet Boilers and Furnaces Green Heat, HEA Parameter Wood Furnace or Boiler with Electrical Bas...

AI summary Table 61 presents unitary peak demand savings values for wood and pellet boilers and furnaces, comparing different baseline scenarios. The values are 7,660 W and 7,750 W for various configurations.

Summary [Table](#page-10-0) 62 presents a summary of the values used to calculate solar air heating savings. The detailed methodology follows. 90 Dunsky Energy Consulting, Residential Fuel Substitution Pilot Program , Final Report, Decembe...

AI summary Table 62 summarizes the values used to calculate solar air heating savings, with the detailed methodology provided in a report by Dunsky Energy Consulting from December 2010.

Table 62: Solar Air Heating Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Description Solar air heating systems N/A Additional Notes - General Parameters Installation Rate 100% See details be...

AI summary Table 62 provides a summary of the Solar Air Heating Measure, including parameters such as installation rate, effective useful life, and energy savings. The table indicates that the installation rate is 100%, the effective useful life is 20 years, and there are no unitary energy savings, as they are calculated using RETScreen.

Table 63: Air Sealing Product Measure Summary Parameter E PI Reference Measure Description and Identification Measure Description Air seal ir sealing products to reduce space heating consumption Electrica al resis tance heate d homes Heat...

AI summary Table 63 provides a summary of air sealing product measures, including installation rates, energy savings parameters, and other relevant data. It outlines the performance of various heating systems, such as electric resistance and heat pump systems, and includes details on energy savings and peak demand savings.

Table 64: Savings Values for Air Sealing Products in Electric Resistance and Heat Pump Heated Homes Measure Electric Resistance Heated Homes Heat Pump Heated Homes Mail-In Homes (average) Source Annual Energy Savings from Foam Gaskets [kWh...

AI summary Table 64 presents energy savings values for air sealing products in homes heated by electric resistance and heat pumps. It includes data for foam gaskets, door sweeps, window air sealing, and door weather stripping, with varying savings depending on the type of heating system and source of data.

Summary [Table](#page-14-0) 66 presents a summary of the values used to calculate window film kit savings. The detailed methodology follows.

AI summary Table 66 summarizes the values used to calculate window film kit savings, with a detailed methodology provided in the proceeding document.

Table 66: Window Film Kit Measure Summary Parameter EPI Reference Measure Description and Identification Measure Description Windows film kits to reduce space heating consumption Additional Notes Heating System Electrical Resistance Heated...

AI summary Table 66 provides a summary of the Window Film Kit Measure, including parameters such as installation rate, energy savings, and peak demand savings. The table outlines energy savings for different heating systems and includes references to subsections for detailed calculations.

The electrical unitary energy savings values of the window kit measure are calculated using the equations below. $$Energy \, Savings \, (kWh) = ES_{sealing} + ES_{insulation}$$ $$ES_{sealing} = \frac{n_{window} \times p_{window} \times ESP...

AI summary The document outlines the calculation of energy savings for window film kits installed through EPI, using equations that factor in sealing and insulation. Values are adjusted based on HDD ratios and specific technical references from Connecticut and Iowa.

Table 67: Electrical Unitary Savings Calculations for Window Film Kits Parameter Symbol Value for Electrical Resistance Heated Homes Value for Heat Pump Heated Homes Source Number of windows insulated nwindow 2 Perimeter of insulated windo...

AI summary Table 67 presents electrical unitary savings calculations for window film kits, comparing electric resistance heated homes and heat pump heated homes. Key parameters include window dimensions, heating degree days in Connecticut and Nova Scotia, and the coefficient of performance for mini-split heat pumps.

Parameter Symbol Value for Electrical Resistance Heated Homes Value for Heat Pump Heated Homes Source Energy savings per foot of tape [kWh/ft] EPSFtape 9.9 2021 Connecticut Program Savings Document, 18th Edition, p. 248 R-value of existing...

AI summary The text presents a table with energy savings parameters for homes heated by electrical resistance and heat pumps, including energy savings per foot of tape, R-values of existing windows, and energy savings from air sealing and insulation. It also includes adjustment percentages and calculated unitary energy savings.

Table 68: Programmable Thermostat Measure Summary Parameter Instant Savings, MHEEP Reference Measure Description and Identification Measure Description Programmable thermostats to reduce electricity consumption N/A Additional Notes - Gener...

AI summary Table 68 provides a summary of the Programmable Thermostat Measure, focusing on parameters such as installation rate, effective useful life, and energy savings. The table details unitary energy savings and peak demand savings, with specific values and references to subsections for further details.

For programmable thermostats, the electrical unitary energy savings are based on the results from a Hydro-Québec 2009 program evaluation of electronic thermostats in residential new construction. 96 The savings values include energy saving...

AI summary The unitary energy savings for programmable thermostats are calculated using data from a Hydro-Québec 2009 program evaluation, which considers three dwelling types and their proportions in Nova Scotia's residential market as defined by the 2016 Census Profile.

Table 70: Smart Thermostat for Electrical Heating System Measure Summary Parameter Instant Savings, EPI, MHEEP Reference Measure Description and Identification Measure Descript ion Smart thermospace heating Additional Notes Controlled Heat...

AI summary Table 70 provides a summary of the Smart Thermostat for Electrical Heating System measure, including parameters like installation rate, useful life, unitary energy savings, and peak demand-to-energy ratio. The table outlines energy and demand savings associated with the measure.

Some models of smart thermostats sold through Instant Savings or installed through EPI or MHEEP are compatible with electrical heating systems. They operate by connecting to a single baseboard, MSHP, or in-floor heating system as opposed t...

AI summary The text discusses the calculation of energy savings for smart thermostats installed in electric heating systems through programs like Instant Savings, EPI, and MHEEP. It uses a formula and references studies on central heating systems to estimate 12% savings for similar systems.

Table 71: Billing Analysis Savings Results for Smart Thermostats for Electrical Heating Systems Jurisdiction Measure Sample Size Heating Consumption Savings Oregon98 Nest thermostats 185 12% (for ASHPs) Bonneville Power Administration99 Ne...

AI summary Table 71 presents billing analysis savings results for smart thermostats used with electrical heating systems in Oregon and by the Bonneville Power Administration. The data shows a 12% savings for air-source heat pumps (ASHPs). The savings are calculated based on the assumption that each dwelling has one heating system per room or floor.

Table 72: Electrical Unitary Energy Savings Calculation for Smart Thermostats for Electrical Heating Systems Parameter Symbol Electric Baseboard MSHP Electric In-floor Heating Source Average heating energy consumption of a home [kWh/year]...

AI summary Table 72 presents the calculation of electrical unitary energy savings for smart thermostats used in electrical heating systems. It includes parameters such as average heating energy consumption, percentage of heating load saved, and the coefficient of performance for heating systems.

2.4 Appliances

AI summary This section discusses appliances, particularly focusing on energy efficiency and performance metrics. It includes references to heat pumps, energy assessments, and efficiency programs such as the Efficient Product Installation (EPI) and the Mikmaw Home Energy Efficiency Project (MHEEP).

2.4.1 Interactive Effects Retiring old appliances causes an increase in the heating load in the winter and a decrease in the cooling load in the summer since compressors on old appliances release significantly more waste heat than newer, m...

AI summary Retiring inefficient appliances can lead to increased heating loads in winter and decreased cooling loads in summer. In Nova Scotia, due to the short cooling season and low electricity use for heating, interactive effects are negligible, leading to zero interactive effects factors for energy and peak demand savings.

Table 73: Interactive Effects Factors for Appliances Measure Interactive Effects Factor for Energy Savings Interactive Effects Factor for Peak Demand Savings Source Clotheslines and Outdoor Drying Racks Refrigerator Retirement/ Replacement...

AI summary Table 73 outlines interactive effects factors for various appliance-related energy and peak demand savings measures, with some entries having zero percent impact. The table includes measures such as dehumidifier replacement and ENERGY STAR certified products, and the section following discusses peak demand savings factors.

Table 74: Peak Demand-to-energy Ratios for Appliances Measure Peak Demand- to-energy Ratio (W/kWh) Source Clothesline and Outdoor Drying Racks 0.000 Calculated by the Evaluator Refrigerator Retirement/ Replacement 0.138 RES-Appliance-Fridg...

AI summary Table 74 presents peak demand-to-energy ratios for various appliances, calculated by the Evaluator or based on data from the Navigant 2016-2018 DSM Plan and NREL ResStock end-use load profiles. The table includes measures such as refrigerator, freezer, and dehumidifier replacements, as well as energy-efficient appliances.

(1) Clotheslines and Outdoor Drying Racks

AI summary This section of the document discusses the use of clotheslines and outdoor drying racks as a method for reducing energy consumption related to indoor clothes drying. It may explore the benefits, implementation, and potential impacts on energy efficiency programs.

Table 75: Clothesline and Outdoor Drying Rack Measure Summary Parameter EPI Instant Savings Reference Measure Description and Identification Measure Description consumption of dryers Clotheslines and outdoor drying racks to reduce electric...

AI summary Table 75 summarizes the energy savings associated with the Clothesline and Outdoor Drying Rack Measure. It includes parameters such as unitary energy savings, installation rates, and effective useful life. The table highlights a unitary energy savings of 71 kWh/year and an installation rate of 86%.

The savings from this measure are due to avoided clothes dryer loads. The following equation is used to establish the unitary savings associated with clotheslines and outdoor drying racks. $$\begin{split} \textit{Energy Savings} & \left[ \...

AI summary The text discusses energy savings from using clotheslines and outdoor drying racks by avoiding clothes dryer loads. It provides an equation to calculate unitary energy savings based on annual laundry loads, the proportion of loads dried on these racks, and energy consumption per load.

Table 76: Electrical Unitary Savings Values for Clotheslines and Outdoor Drying Racks Parameter Value Source Number of Laundry Loads per Year [loads/year] 197 2015 NRCan107 Proportion of Loads Dried on Clotheslines [%] 16.3% OPA 2011108 En...

AI summary Table 76 presents electrical unitary savings values for clotheslines and outdoor drying racks, including parameters such as the number of laundry loads per year, proportion of loads dried on clotheslines, energy consumption per load, and unitary energy savings. The data sources include NRCan and OPA.

Table 77: Clothesline and Outdoor Drying Rack Installation Rate Installation Rate Margin of Error Source 86% 8.1% PNS Surveys110 EPI 2018 DSM and 2018/19 For Instant Savings, the installation rate is assumed to be 100%.

AI summary Table 77 presents the installation rate for clothesline and outdoor drying rack programs, reporting an 86% installation rate with an 8.1% margin of error, sourced from PNS Surveys, EPI, and the 2018 DSM and 2018/19 programs. For Instant Savings, the installation rate is assumed to be 100%.

Table 78: Refrigerator Retirement/Replacement Measure Summary Parameter ARet HomeWarming / MHEEP Reference Measure Description and Identification Measure Description Retirement of old refrigerators to reduce electricity consumption Additio...

AI summary Table 78 summarizes the Refrigerator Retirement/Replacement Measure, detailing parameters such as electricity consumption reduction, installation rates, and energy savings. The table highlights savings for different refrigerator sizes and provides values for unitary energy savings and peak demand savings.

Table 79: Electrical Unitary Savings Values for Refrigerator Retirements/Replacements ARet (Retirement) - HomeWarmin Parameter Symbol Manufacture- year Class Full-sized Refrigerators (≥ 10 ft.³) Small Refrigerators (< 10 ft.³) g / MHEEP (R...

AI summary Table 79 presents electrical unitary savings values for refrigerator retirements and replacements, including parameters such as annual consumption, refrigerator size, occupant adjustment ratio, and unitary energy savings. The data covers different refrigerator classes and includes sources like NRCan data analysis and 2023 tracking sheets.

Table 80: Freezer Retirement/Replacement Measure Summary Parameter ARet HomeWarming / MHEEP Reference Measure Description and Identification Measure Description Retirement of old freezers to reduce electricity consumption Replacement of ol...

AI summary Table 80 presents a summary of the Freezer Retirement/Replacement Measure, comparing energy savings and other parameters for different programs. It includes details such as unitary energy savings, peak demand savings, and installation rates for various freezer replacement initiatives.

Table 81: Electrical Unitary Savings Values for Freezer Retirements/Replacements Manufacture- ARet (Ret irement) HomeWarming Source Parameter Symbol year Class Regular Freezers (≥ 7 ft.³) Small Freezers (< 7 ft.3) / MHEEP (Replacement) 200...

AI summary Table 81 presents electrical unitary savings values for freezer retirements and replacements, including annual consumption per size, average freezer size, occupant adjustment ratio, and part-use factor. It also includes data on the proportion of freezers manufactured in different years and energy savings calculations.

Table 82: Room Air Conditioner Retirement Measure Summary Parameter ARet Reference Measure Description and Identification Measure Description Retirement of old room air conditioners to reduce electricity consumption N/A Additional Notes -...

AI summary Table 82 summarizes the Room Air Conditioner Retirement Measure, detailing parameters such as energy savings, effective useful life, and peak demand-to-energy ratio, with references to subsections for further details.

(5) Dehumidifier Replacements or Retirements/ENERGY STAR Certified Dehumidifiers

AI summary This section discusses dehumidifier replacements or retirements, focusing on ENERGY STAR certified dehumidifiers. It highlights the importance of energy efficiency in dehumidification and the role of ENERGY STAR certification in promoting energy-efficient products.

Table 84: Dehumidifier Replacement or Retirement / ENERGY STAR Certified Dehumidifier Measure Summary Parameter ARet Instant Savings Reference Measure Description and Identification Measure Description Replacement or retirement of old dehu...

AI summary This table outlines the energy savings parameters for dehumidifier replacement or retirement and ENERGY STAR certified dehumidifiers. It includes installation rates, effective useful life, unitary energy savings, and peak demand savings.

For both ARet and Instant Savings, dehumidifier electrical unitary energy savings are calculated using the equation below. $$Energy \ Savings \ _{kWh} = AWRC \times AOD \times \left(\frac{1}{EF_{base}} - \frac{1}{EF_{new}}\right)$$ For ARe...

AI summary The text outlines the calculation method for dehumidifier energy savings under the ARet and Instant Savings programs, referencing baseline and new energy factors from various reports and guidelines. It emphasizes the assumptions made regarding unit replacement and the use of specific regulatory standards.

Parameter Symbol ARet (ARet, HW, MHEEP) Instant Savings Source Average Water Removal Capacity [L/day] 𝐴𝑊𝑅𝐶 3.87 2011 OPA Average Operating Days [days/year] 𝐴𝑂𝐷 168 2011 OPA Energy Factor of the Baseline Dehumidifier [L/kWh] 0.66 𝐸𝐹𝑏𝑎𝑠𝑒 1.6...

AI summary The table outlines key parameters for dehumidifiers, including average water removal capacity, operating days, and energy factors for baseline and ENERGY STAR certified models. It also includes energy savings calculations and sources such as 2011 OPA and 2019 NRCan Regulation.

ENERGY STAR Certified Clothes Dryers

AI summary The document discusses ENERGY STAR certified clothes dryers, highlighting their energy efficiency and environmental benefits. It references programs and standards promoted by organizations such as Natural Resources Canada and the United States Department of Energy.

Summary [Table](#page-39-0) 86 presents a summary of the values used to calculate ENERGY STAR Certified clothes dryer savings. The detailed methodology follows.

AI summary Table 86 summarizes the values used to calculate ENERGY STAR Certified clothes dryer savings, with the detailed methodology provided in the following text.

Table 86: ENERGY STAR Certified Clothes Dryer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description ENERGY STAR certified clothes dryers to reduce electricity consumption N/A Additio...

AI summary Table 86 outlines the parameters for the ENERGY STAR certified clothes dryer measure, including installation rates, energy savings, and peak demand savings. It provides details on energy efficiency, useful life, and other technical specifications related to this measure.

Table 87: Electrical Unitary Savings Values for ENERGY STAR Certified Clothes Dryer Parameter Symbol Instant Savings Source Average Dried Loads per Year [load/year] 𝐴𝐷𝐿 197 2015 NRCan136 Average Load Weight [lbs/load] 𝐴𝐿𝑊 8.45 2019 PUC TRM...

AI summary Table 87 provides electrical unitary savings values for ENERGY STAR certified clothes dryers, including parameters such as average dried loads per year, average load weight, and combined energy factor of new and baseline units. The table also includes calculated unitary energy savings.

(6) Efficient Clothes Washers

AI summary The section discusses efficient clothes washers, highlighting their role in energy efficiency and potential benefits. It references ENERGY STAR, NRCan, USDE, OPA, and DOE as relevant entities and organizations.

Summary [Table](#page-41-0) 88 presents a summary of the values used to calculate efficient clothes washer savings. The detailed methodology follows.

AI summary Table 88 summarizes the values used to calculate efficient clothes washer savings, with a detailed methodology provided thereafter.

Table 88: Efficient Clothes Washer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Efficient clothes washers to reduce electricity consumption N/A Additional Notes - General Pa...

AI summary Table 88 outlines the parameters for the Efficient Clothes Washer Measure, including installation rates, energy savings, and peak demand savings. The table provides details on the measure's description, useful life, and energy efficiency ratios, which are crucial for evaluating the effectiveness of the program.

Energy Consumption Calculation First, the energy consumption values of both standard and efficient clothes washers are determined using the following equation. $$Clothes\ Washer\ Energy\ Consumption\ [kWh]\ = \frac{Number\ of\ Loads\ \left...

AI summary The text explains the calculation of energy consumption for standard and efficient clothes washers using a specific equation involving number of loads, capacity, and IMEF. Table 89 provides the parameters and resulting energy consumption values for these washers.

Table 89: Clothes Washer Energy Consumption Parameter Value for Standard Clothes Washer Source Number of Loads [Loads/Year] 218 2015 NRCan 138 Capacity [L] 127 Weighted average capacity based on 10 most rebated models in 2020 and ENERGY ST...

AI summary Table 89 presents energy consumption data for standard and efficient clothes washers, including parameters like number of loads, capacity, and energy factor. The table sources data from Natural Resources Canada and ENERGY STAR Certified Clothes Washers database, and includes a calculation for annual energy consumption.

Both energy consumption values do not take into account the proportion of hot water for clothes washers produced with electricity in Nova Scotia, nor the use of cold water for washing. Therefore, the energy consumption of both standard and...

AI summary The text discusses the need to adjust energy consumption values for clothes washers in Nova Scotia by considering the proportion of hot water used and the use of cold water in the washing process. It highlights that energy consumption is broken down into stages to apply correction factors accurately.

Adjusted Energy Consumption Table 92 and Table 93 present the calculations of total electricity consumption for standard and efficient clothes washers respectively. & lt;sup>142 Ad Hoc Recherche, Rapport d'évaluation, Programme : Produits...

AI summary The document discusses adjusted energy consumption, presenting calculations for total electricity consumption of standard and efficient clothes washers in Tables 92 and 93. It references a report by Ad Hoc Recherche on the Energy Star appliance program from 2008 and 2009.

Energy Consumption Component Energy Consumption (kWh/year) Adjustment Factor for Electrical Water Heating Adjustment Factor for Cold Water Usage Adjusted Energy Consumption (kWh/year) Water Heating System 118 0.804 0.67 64 Internal Clothes...

AI summary Table 92 presents electricity consumption data for standard clothes washers, including water heating systems, internal clothes dryers, and washing machine drums. Adjustments factors for electrical water heating and cold water usage are applied to calculate adjusted energy consumption.

Table 94: Electrical Unitary Savings Value for Clothes Washer Parameters Value Adjusted Energy Consumption of Standard Clothes Washer [kWh/year] 421 Adjusted Energy Consumption of Efficient Clothes Washer [kWh/year] 296 Unitary Energy Savi...

AI summary Table 94 presents the electrical unitary savings value for clothes washers, comparing the adjusted energy consumption of standard and efficient models. The unitary energy savings are calculated as 125 kWh/year. The section also mentions installation rates, though no specific details are provided.

(7) Efficient Washer-Dryer Combination Units

AI summary This section discusses efficient washer-dryer combination units, likely in the context of energy efficiency and regulation. It may explore their role in reducing energy consumption and their alignment with regulatory standards or programs.

Summary [Table](#page-45-0) 95 presents a summary of the values used to calculate efficient washer-dryer combination unit savings. The detailed methodology follows.

AI summary Table 95 summarizes the values used to calculate efficient washer-dryer combination unit savings, with the detailed methodology provided in the following sections.

Table 95: Efficient Washer-Dryer Combination Units Parameter Instant Savings Reference Measure Description and Identification Measure Description Efficient washer-dryer combination units to reduce electricity consumption N/A Additional Not...

AI summary The table provides details on efficient washer-dryer combination units, including installation rates, energy savings, and peak demand savings. It outlines the unitary energy savings and peak demand-to-energy ratio for these units.

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 explains how energy savings for efficient washer-dryer combination units are calculated by summing the savings from efficient dryers and washers. It references data from the NRCan 2015 Survey and the U.S. Department of Energy's baseline CEF for the base units, as well as the weighted average CEF for new units as of October 2022.

Table 96: Electrical Unitary Savings Values for the Efficient Clothes Dryer Component of Efficient Washer-Dryer Combination Units Parameter Symbol Instant Savings Source Average Dried Loads per Year [load/year] 𝐴𝐷𝐿 197 2015 NRCan144 Averag...

AI summary The table provides electrical unitary savings values for the efficient clothes dryer component of efficient washer-dryer combination units. It includes parameters such as average dried loads, load weight, and energy factors for both new and baseline units, with calculations based on data from various sources including Natural Resources Canada and the Department of Energy.