E-22024 DSM Programs Evaluation Reports
220 passages
Table 1: 2024 Portfolio Evaluation Plan PY2024 Program Components Impact Process Market Residential DSM Program Components Appliance Retirement Condensed Instant Savings Comprehensive Affordable Multifamily Housing Comprehensive X Affordab...
AI summary Table 1 outlines the 2024 Portfolio Evaluation Plan for various program components under residential and BNI DSM programs. It details the impact, process, and market aspects of each program, including comprehensive and condensed evaluations for initiatives such as Appliance Retirement, Instant Savings, and Business Energy Rebates.
Table 3: 2024 Interviews Completed Program Component Program Manager/1 E1 Staff/Business Development Manager Service Providers/ Distributors/ Contractors Participants Non participants Dropped-out or Overdue Participants Residential Applian...
AI summary Table 3 presents the number of interviews conducted in 2024 across various program components, including residential and business energy programs. It includes data on participants, non-participants, and dropped-out or overdue participants, with the exception of Appliance Retirement, which had only one round of interviews.
Table 4: 2024 Site Visits and Project Reviews with Follow-up Site Visits or Interviews Program Component Project Reviews Followed by Site Visits Project Reviews Followed by Phone Interviews Project Reviews Without Site Visits or Phone Inte...
AI summary Table 4 outlines the 2024 project reviews and site visits conducted under various programs, including Affordable Multifamily Housing, Efficient Product Installation, and BNI. It details the distribution of project reviews followed by site visits, phone interviews, or neither, with a note on the exclusion of a large-scale compressed air leak audit from adjustment ratio calculations.
Unitary Savings Review As part of the update to the 2024-2025 DSM MA that was reviewed in its entirety in 2024, for program components with unitary savings values - namely Appliance Retirement, Instant Savings, Home Energy Assessment, Gree...
AI summary The 2024-2025 DSM MA update reviewed unitary savings values for programs like Appliance Retirement, Home Energy Assessments, and Business Energy Rebates. Parameters were validated and updated, with new measures added, including advanced thermostats and solar PV systems. Review methods included literature reviews, metering studies, and energy models.
Table 5: Comparison of 2024 Evaluated and Tracked Energy Savings at the Generator a Tracked Results Evaluated Results Program Component Annual Gross Savings (GWh) Annual Net Savings (GWh) Annual Gross Savings (GWh) NTGR b Annual Net Saving...
AI summary Table 5 compares the 2024 evaluated and tracked energy savings for various programs in Nova Scotia. It highlights discrepancies between gross and net savings, as well as differences in net savings and net realization rates for each program component, including Appliance Retirement, Instant Savings, Affordable Multifamily Housing, and others.
Table 6: Comparison of 2024 Evaluated and Tracked Peak Demand Savings at the Generator a Program Component Tracked Results Evaluated Results Difference DSM Program Annual Gross Savings (MW) Annual Net Savings (MW) Available Capacity (MW) A...
AI summary Table 6 compares the evaluated and tracked peak demand savings at the generator for various programs in 2024. It shows results for residential, BNI, and demand response programs, highlighting differences in net savings and available capacity, along with net realization rates for each component.
3.1.1 Residential DSM Programs
AI summary The section outlines residential demand-side management (DSM) programs aimed at enhancing energy efficiency in residential sectors through initiatives like appliance retirement, home energy assessments, and incentives for efficient technologies such as heat pumps and LED lighting.
Residential Efficient Product Rebates In 2024, Residential Efficient Product Rebates achieved net electrical energy and peak demand savings of 24.617 GWh and 2.765 MW respectively at the generator. The two components under this program are...
AI summary In 2024, Nova Scotia's Residential Efficient Product Rebates program achieved 24.617 GWh of electrical energy savings and 2.765 MW of peak demand savings. The program includes Appliance Retirement (ARet) and Instant Savings components, with detailed results provided for each.
Existing Residential In 2024, the net electrical energy savings for Existing Residential reached 53.331 GWh at the generator, while the net peak demand savings amounted to 14.229 MW at the generator. Existing Residential is comprised of Af...
AI summary In 2024, Existing Residential programs achieved 53.331 GWh of net electrical energy savings and 14.229 MW of peak demand savings. The category includes Affordable Multifamily Housing, Affordable Single-family Homes, Efficient Product Installation, Green Heat, Home Energy Assessment, the Mi'kmaw Home Energy Efficiency Project, and Residential Behaviour. Program component results are detailed below.
Direct Installation Direct Installation consists of one program component, namely Small Business Energy Solutions. In 2024, Direct Installation achieved 10.644 GWh in net electrical energy savings at the generator and 2.151 MW in net peak...
AI summary Direct Installation, comprising Small Business Energy Solutions, achieved 10.644 GWh in net electrical energy savings and 2.151 MW in net peak demand savings in 2024. The program's results are detailed in the text.
Small Business Energy Solutions - › In 2024, the number of units rebated under Small Business Energy Solutions increased by 53% compared to 2023 levels, with the DIY path remaining the most popular and accounting for 98% of all units rebat...
AI summary SBES saw a 53% increase in rebated units in 2024, with DIY path dominating at 98%. A survey of 30 businesses found no non-participant spillover. Energy savings were 1% and 5% higher than E1's tracked savings due to 2024-2025 DSM MA updates.
Table 8: 2024 Evaluated Net Lifetime Electrical 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...
AI summary Table 8 outlines the 2024 evaluated net lifetime electrical energy savings by DSM program and component, highlighting the significant contributions from residential and BNI programs. The Home Energy Assessment program contributes the highest share of both annual and lifetime savings, while the Demand Response program is excluded due to no electrical energy savings.
Table 9: 2024 Evaluated GHG Emission Reductions DSM Program Program Component Gross Annual Avoided GHG Emissions in CO2 eq Tonnes Net Annual Avoided GHG Emissions in CO2 eq Tonnes Residential Efficient Appliance Retirement 1,981 1,117 Prod...
AI summary Table 9 presents evaluated greenhouse gas (GHG) emission reductions for 2024 under various demand-side management (DSM) programs in Nova Scotia. The table includes both gross and net annual avoided emissions in CO2 equivalent tonnes for different program components, such as appliance retirement, product rebates, and energy assessments.
Table 10: 2024 Satisfaction Results DSM Program Program Component Participant Satisfaction Partner Satisfaction Residential Existing Residential Affordable Multifamily Housing 9.7 - Affordable Single-family Home 9.4 (Heat Pump) 8.9 (Modell...
AI summary Table 10 presents 2024 satisfaction results for various DSM programs, including residential and BNI components, with participant and partner satisfaction scores for different program elements such as Affordable Multifamily Housing, Efficient Product Installation, and Business Energy Rebate – Instant Rebates.
Table 11: 2024 Planned Net Savings and Evaluated Results Planned Savings Evaluated Results Variance Program Component and DSM Program Net Energy Savings (GWh) Net Peak Demand Savings (MW) Available DR Capacity (MW) Net Energy Savings (GWh)...
AI summary Table 11 outlines the 2024 planned net savings and evaluated results for various energy efficiency and demand response programs in Nova Scotia. It shows the performance of residential and BNI programs, highlighting variances between planned and evaluated outcomes, such as energy savings and demand reductions.
Table 12: Evaluated Net Electrical Energy Savings at the Generator, 2020-2024 Energy Savings (GWh) Energy Savings (%) DSM Program Program Component 2020 2021 2022 2023 2024 2020 2021 2022 2023 2024 Residential Residential Appliance Retirem...
AI summary Table 12 presents evaluated net electrical energy savings from various DSM programs in Nova Scotia from 2020 to 2024, highlighting contributions from residential, BNI, and overall portfolio programs, with significant energy savings percentages and GWh values reported for each category and year.
Table 13: Evaluated Net Peak Demand Savings at the Generator, 2020-2024 Peak Demand Savings (MW) Peak Demand Savings (%) DSM Program a Program Component 2020 2021 2022 2023 2024 2020 2021 2022 2023 2024 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 2020 to 2024. It details savings by program type, including residential and BNI programs, and provides both megawatt (MW) and percentage savings for each year.
In 2024, the residential sector accounted for 45% of net electrical energy savings and the BNI sector accounted for 55% of net electrical energy savings. Compared to 2023, while the share of lighting in residential programs increased from...
AI summary In 2024, residential and BNI sectors contributed significantly to energy savings, with lighting shares changing slightly. The residential sector led in peak demand savings, and the Demand Reduction program contributed 8.091 MW in demand response capacity.
Custom New Construction To explore opportunities to expand service presence outside of the electrically heated MURB market, the Evaluator analyzed the tracking sheet, performed secondary research, conducted interviews with participants, mo...
AI summary The Custom New Construction service evaluation found higher success in MURBs than non-MURBs, with 24 of 27 2024 projects being MURBs. HRM dominance is expected due to population density and streamlined permitting. Adjusting building size eligibility criteria could expand reach outside HRM, aligning with NECB 2020 Part 9 standards.
Table 15: 2024 Recommendations on Residential Program Components No. Recommendation AMH – R1 To further aid understanding, consider providing participants with case study examples of incentive calculations to show pre-tax costs and how inc...
AI summary The document outlines recommendations for improving residential energy efficiency programs in Nova Scotia, including providing case studies, support for participants, improving audit reporting, and tracking wait times and satisfaction levels to assess program performance.
Survey Margins of Error The 2024 Green Heat past participant survey margins of error were established by using the following formula that correspond to the margin of error calculation for a proportion (i.e. a value between 0% and 100%). Ma...
AI summary This section explains the calculation of the margin of error for the 2024 Green Heat past participant survey. The formula uses a proportion-based approach, with parameters including the confidence level, sample size, and population size. A sample size of 204 participants was used, and a 90% confidence level corresponds to a Zα coefficient of 1.645.
RESIDENTIAL EFFICIENT PRODUCT REBATES PROGRAM Final Report 2024 DSM EVALUATION March 25, 2025 In collaboration with:
AI summary The document presents the Final Report of the 2024 DSM Evaluation for Nova Scotia's Residential Efficient Product Rebates Program, dated March 25, 2025. It highlights collaboration with unnamed entities, though specific details about program outcomes, stakeholder input, or evaluation findings are not provided in the text snippet.
EXECUTIVE SUMMARY This report presents the 2024 demand-side management (DSM) evaluation results of the Residential Efficient Product Rebates program administered by EfficiencyOne (E1). This program is comprised of two components: (1) Appli...
AI summary This report evaluates the 2024 Residential Efficient Product Rebates program by EfficiencyOne (E1), comprising Appliance Retirement (ARet) and Instant Savings, assessing their effectiveness in demand-side management.
[Table](#page-84-0) 2 below presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well as EUL values for each program component and for Residential Efficient Product...
AI summary Table 2 outlines participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, and EUL values for each program component and for Residential Efficient Product Rebates as a whole in 2024.
Table 17: Number of Rebated Products Sold Through Instant Savings, 2023–2024 Product Category 2023 2024 Variation ENERGY STAR Certified Non-A-type LED Lamps 78,438 78,539 0.1% ENERGY STAR Certified LED Fixtures a 88,337 268,740 204% Contro...
AI summary Table 17 shows the number of rebated products sold through the Instant Savings program in 2023 and 2024, with significant growth in LED fixtures and a decline in appliance sales.
Table 21: 2024 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 21 outlines the 2024 Instant Savings Interactive Effects Factors for various lighting products, including LED lamps, fixtures, and motion sensors. The table provides weighted energy and peak demand interactive effects factors, as well as indoor and outdoor percentages for each product category.
CONCLUSION Table 34 presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well as EUL values for each Residential Efficient Product Rebates program component and for...
AI summary Table 34 details participation levels, NTGRs, gross/net savings, GHG emission reductions, and EUL values for the Residential Efficient Product Rebates program components and overall program in 2024.
Particip ation Level Gross Savings NTGR Net S Savings Value Unit Value Unit Value Value Unit ARet Energy Savings 4.195 GWh 0.56 2.365 GWh Lifetime Energy Savings 16.729 GWh 0.56 9.433 GWh Peak Demand Savings 5,941 Appliances 0.598 MW 0.56...
AI summary The Residential Efficient Product Rebates program exceeded its 2024 energy and peak demand savings targets by 70% and 41%, respectively, primarily due to the contribution of Instant Savings. The program achieved 24.617 GWh in net electrical energy savings and 2.765 MW in net peak demand savings.
LIST OF APPENDICES The following are presented in the Residential Efficient Product Rebates Program – Appendices document.
AI summary The document lists appendices for the Residential Efficient Product Rebates Program, detailing program components and related materials.
B. Purchase – LED Bulbs - B1. How many non-pear-shaped LED bulbs did you purchase? Please enter the number of bulbs, not packages. - 1. Enter number of LED bulbs bought: ____ [NUMBER OF BULBS MUST BE ≥ 1]. - 98. Don't know [ASK RESPONDENT...
AI summary The text outlines a survey section regarding the purchase of non-pear-shaped LED bulbs, including questions about the number purchased, their intended use, and installation plans. It includes validation steps and response options for respondents.
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 th...
AI summary The text presents a series of questions related to the installation and replacement of LED bulbs, focusing on user behavior and awareness of programs such as Efficiency Nova Scotia. It includes conditional questions based on previous responses and allows for detailed explanations.
- 96. Other, SPECIFY: ______________________ Incandescent Bulb Halogen Bulb CFL Bulb D8. How likely would you have been to buy the LED bulbs that you purchased if you had to pay the full price? That is, how likely would have you have been...
AI summary The text presents a survey question asking respondents about their likelihood of purchasing LED bulbs without a rebate and another question about the timing of their purchase if the rebate had not been offered. These questions aim to assess the impact of financial incentives on consumer behavior.
LED FIXTURE SURVEY [ASK IF SKU = LED FIXTURE] - E. Purchase – LED Fixtures - E1. How many LED fixtures did you purchase? Please enter the number of fixtures, not packages. - 1. Enter number of LED fixtures bought: ____ [NUMBER OF FIXTURES...
AI summary This section of the LED fixture survey asks respondents to provide the number of LED fixtures they have purchased, ensuring the quantity is accurate and within specified limits. It includes validation steps to confirm the number and handle cases where the respondent is unsure.
E3. Did you purchase these fixtures for your own use (for example, for your home or cottage)? [ALLOW ONE RESPONSE ONLY] 1. I purchased them for my own use 96. Other, please specify [] E4. Are there any LED fixtures currently installed in y...
AI summary The text contains a series of survey questions related to the purchase and installation of LED fixtures, including whether they are for personal use, existing LED fixtures in the home, installation location, and reasons for purchase.
A1. Where did you purchase your LED bulbs or LED fixtures? 2024 2023 2022 2021 Sample Size 200 122 177 120 Costco 81% 7% 100% 3% The Home Depot 15% 36% - 55% Kent 5% 51% - 16% Canadian Tire - 5% - 25% Home Hardware - 1% - 2% A2. Please ent...
AI summary The text presents data on where LED bulbs and fixtures were purchased in various years, highlighting Costco as a major retailer in 2024 and The Home Depot and Kent in earlier years. It also asks for SKU numbers for LED products purchased.
B3. Did you purchase these bulbs for your own use (for example, for your home or cottage)? 2024 2023 2022 2021 Sample Size 41 81 49 67 I purchased them for my own use 98% 96% 98% 100% Others 2% 4% 2% 0% B4. Are there any non-pear-shaped LE...
AI summary The text presents survey results about bulb purchases and LED bulb installations in homes. Most respondents purchased bulbs for personal use, and a significant percentage have non-pear-shaped LED bulbs installed in their homes.
- B8. [ASK IF B1 (MORE THAN 1 BULB)] You bought [INSERT NUMBER OF LEDS FROM B1] LED bulbs? How many, if any, of these [INSERT NUMBER OF LEDS FROM B1] LED bulbs will be installed… 2024 2023 2022 2021 Sample Size 41 81 49 67 To replace anoth...
AI summary The text presents survey data on LED bulb installation intentions, including replacement of existing LED bulbs and non-LED bulbs across different years. Respondents indicate whether they plan to replace bulbs when they burn out, replace working bulbs, or use them for new fixtures.
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? 2024 2023 2022 2021 200 122 177 120 70% 65% 65% 58%...
AI summary The Efficiency Nova Scotia program offers instant savings at the cash register for purchasing energy-efficient products. The data shows varying awareness and participation rates across different years, with in-store promotions and store personnel being the primary sources of information about the program.
D8. How likely would you have been to buy the LED bulbs that you purchased if you had to pay the full price? Please answer on a scale of 0 to 10, with a 0 indicating that you "Definitely Would Not Have Bought these LEDs" and a 10 indicatin...
AI summary The question asks respondents to rate how likely they would have been to purchase LED bulbs if they had to pay the full price, using a scale from 0 to 10.
D10. 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? 2024 2023 2022 2021 Sample Size 23 29 29 32 Definitely...
AI summary The data shows varying customer responses to LED bulb discounts over the years, with a decrease in the percentage of customers who would definitely purchase the same number of bulbs without the discount, and an increase in those who would probably or definitely purchase fewer bulbs.
E3. Did you purchase these fixtures for your own use (for example, for your home or cottage)? 2024 2023 2022 2021 Sample Size 159 41 128 53 I purchased them for my own use 98% 98% 97% 96% I purchased them for a client or project outside of...
AI summary The table shows that the majority of respondents purchased LED fixtures for their own use, with 98% in 2024, 98% in 2023, 97% in 2022, and 96% in 2021. A small percentage purchased them for clients or projects outside their organization.
- E7. You bought [INSERT NUMBER FROM E1] LED fixtures. How many, if any, of these [INSERT NUMBER FROM E1] LED fixtures will be installed… 2024 2023 2022 2021 Sample Size 159 41 128 53 To replace a fixture that was still functional 40% 58%...
AI summary The text asks about the number of LED fixtures purchased and their installation, followed by tables showing the percentage of fixtures replaced for various reasons and the types of bulbs used in replacements across different years.
- 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? 2024 2023 2022 2021 Sample Size 159 41 128 53 Yes, were aware of the discount before paying 82% 71% 4...
AI summary The text presents survey results on customer awareness and behavior regarding discounts on LED fixtures offered by Efficiency Nova Scotia. It shows that awareness of the discount increased over time, but most respondents were not aware of the discount before purchasing. Many indicated they would not have purchased fixtures without the discount.
G6. If you were going to purchase a fixture without LED lighting, what type of bulbs would you have installed? 2024 2023 2022 2021 Sample Size 11 (#) 4 (#) 4 (#) 4 (#) Incandescent 6 2 3 - CFL 4 1 1 1 Halogen 2 - - 3 Others - 1 - - Base: R...
AI summary The table shows the types of bulbs respondents would have installed in fixtures without LED lighting, based on survey data from 2021 to 2024. Incandescent, CFL, and halogen bulbs are the primary options considered, with varying responses across years.
Likelihood of Buying LEDs without Discount 2024 2023 2022 2021 Sample Size 131 30 55 35 MEAN 3.4 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 calcula...
AI summary The table shows the likelihood of purchasing LEDs without a discount over the years 2021 to 2024, 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 didn't know or refused to answer.
G9. 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? 2024 2023 2022 2021 Sample Size 71 17 24 20 Definite...
AI summary The table presents survey results on how respondents would have purchased LED fixtures without a discount, showing varying percentages across years for different purchase intentions, with a majority indicating they would have purchased fewer fixtures.
G10. You bought [INSERT NUMBER OF FIXTURES FROM E1 (IF CORRECT) OR E2.2] LED fixtures, what proportion of these fixtures do you expect to install in the next 12 months? 2024 Sample Size 5 (#) All or nearly all 5 New question in 2024
AI summary The question asks about the expected installation rate of LED fixtures purchased by the respondent over the next 12 months. The data from 2024 indicates that all 5 respondents expect to install all or nearly all of the fixtures.
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? 2024 2023 2022 2021 Sample Size 197 122 176 118 Y...
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 over several years, with a majority of respondents reporting 'Yes' in each year.
I1. What type of residence do you live in? 2024 2023 2022 2021 Sample Size 200 122 177 120 Detached single-family house 78% 86% 84% 91% Semi-detached house 8% 7% 5% 3% Townhouse or duplex which share adjacent walls 5% 2% 3% 3% Apartment or...
AI summary The text presents survey data on residence types, ownership, electricity bill payment, income, household size, and gender across multiple years. It includes tables with percentages and sample sizes for each category.
Table 1: Summary of 2024 Existing Residential Program Evaluation Program Evaluation Type Methodology Component Impact Process Market AMH Comprehensive X › Program staff interviews › Energy auditor (EA) interviews › Participant, dropped-out...
AI summary The document provides a summary of the 2024 evaluation of existing residential programs, detailing the evaluation types, methodologies, and components for various programs such as AMH, ASFH, EPI, Green Heat, HEA, MHEEP, and Residential Behaviour. The evaluation includes interviews, tracking sheet audits, billing analysis, and GHG emission reduction calculations.
[Table](#page-194-0) 2 below presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well EUL values for each program component and for Existing Residential as a whole.
AI summary The table presents participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, and EUL values for each program component and for Existing Residential as a whole.
Table 2: Overall 2024 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Lifetime Energy Savings 1 installed 29.724 GWh 0.53 15.697 GWh Peak Demand Savings 2.748 MW 0.56 1.529 MW Ann...
AI summary Table 2 presents the 2024 participation levels and evaluated savings from residential energy efficiency programs. It includes metrics like energy savings, peak demand savings, GHG emission reductions, and energy use life (EUL) for various initiatives such as Home Energy Assessment (HEA) and Mi'kmaw Home Energy Efficiency Project (MHEEP).
OHPA). Recommendation #2: Provide participants with more information about ASFH to help them understand program options, eligible measures, and participation steps by implementing the following: - a) Investigate ways to inform participants...
AI summary The ASFH program requires improved participant communication, clearer application processes, and better post-installation support for heat pump maintenance. Key issues include inadequate information sharing, unclear program distinctions (e.g., OHPA vs. ASFH), and insufficient guidance on equipment operation.
Rebate, Calculations, and Financial Concerns For EAs, the AMH rebate is considered one of AMH's greatest strengths, as confirmed by participant satisfaction levels (see [Figure](#page-17-0) 8 above), along with the energy cost savings resu...
AI summary The AMH rebate program faces challenges with participant confusion over rebate calculations, tax obligations, and fluctuating incentive amounts due to supply chain costs. E1 staff report efforts to clarify incentives but note ongoing misunderstandings. Financial barriers include upfront capital needs and limited audit recognition for additional funding.
Alternative Programs Two dropped-out participants and five non-participants stated that they either had taken part in a program other than AMH or had plans to do so in the near future. One dropped-out participant noted that they had not ex...
AI summary Participants and non-participants in the AMH program cited administrative burdens and eligibility issues as barriers to engagement. Some opted for alternative programs like E1 (targeting affordable housing) or CMHC initiatives. Interviewees expressed interest in reapplying to AMH if other programs didn’t conflict. Limited funding sources were reported, with Housing Nova Scotia and CMHC funds mentioned as supports.
Energy Efficiency Upgrades Only three interviewees noted having completed energy efficiency upgrades in the past year: One droppedout participant had made several energy efficiency upgrades, including new insulation, installing heat pumps,...
AI summary Three interviewees reported completing energy efficiency upgrades in the past year, including insulation, heat pumps, and appliance replacements. One participant worked with Housing Nova Scotia, while others utilized an E1 residential program or discounted contractor services.
A total of 60 ASFH participants took part in a telephone survey administered by Narrative Research in October and November 2024. A segment of 30 previous ASFH participants had only a heat pump installed (hereafter referred to as heat pump...
AI summary A telephone survey of 60 ASFH participants was conducted in October and November 2024 to understand their experiences and perspectives on the Affordable Single-family Homes program. The survey included 30 heat pump only participants and 30 modelled participants, with an average interview duration of 13.6 minutes. The results are detailed in Appendices VII and VIII, and Table 15 provides survey time, sample sizes, and corresponding margins of error at a 90% confidence level.
Table 15: 2024 ASFH Survey Sample Sizes and Margins of Error Measure Population at Time of Survey Sample Size Sample Margins of Error at 90% Confidence Level Average Survey Duration Heat Pump Only 160 30 ±13.6% Energy Modelling 576 30 ±14....
AI summary Table 15 provides sample sizes and margins of error for the 2024 ASFH survey, including data for heat pump only, energy modelling, and total survey responses. It also mentions interviews with heat pump contractors.
DAs A total of four DAs were interviewed for this process evaluation, three of whom began their involvement in January 2023 and one of whom already had experience delivering HomeWarming for the province. Overall, seven DAs manage the model...
AI summary Four Delivery Agents (DAs) were interviewed, with three new to the role and one experienced in HomeWarming. Seven DAs manage participants through program components, leveraging their broad experience in energy efficiency initiatives.
Heat Pump Only Participants As mentioned in the program component description (Subsection [6.1)](#page-40-0) above, since January 2023, past participants of HomeWarming can apply for the heat pump only measure, which excludes an energy ass...
AI summary Heat Pump Only Participants in the HomeWarming program (since 2023) receive heat pumps without energy assessments or building upgrades. E1 directly contacts past participants, and contractors handle installations. Certain interview questions were omitted as they were irrelevant to this streamlined measure.
Receiving Participant Information from E1 At this step, heat pump contractors are most concerned with the time required to regularly monitor SharePoint for new leads. They say that this can delay the program delivery process.
AI summary Heat pump contractors express concern that the time required to monitor SharePoint for new leads delays program delivery processes, highlighting inefficiencies in lead management within E1's operations.
9.2.1 Electrical Energy Savings For ASFH, electrical energy savings are calculated based on HOT2000 simulation results adjusted with billing analysis results and unitary savings values for prescriptive measures, as shown in the equation be...
AI summary Electrical energy savings for Affordable Single-family Homes (ASFH) are calculated using HOT2000 simulation results adjusted with billing analysis and unitary savings values for prescriptive measures, as outlined in the provided equation.
Table 17: Tracked and Evaluated 2024 ASFH Unitary Energy Savings Measure Tracked Savings [kWh/year] Evaluated Savings [kWh/year] Smart Thermostats with Heat Pump Baseline 514 564 Appliance Replacement Refrigerators 735 674 Freezers 2,006 1...
AI summary Table 17 presents tracked and evaluated energy savings for 2024 in the Affordable Single-Family Housing (ASFH) program, including savings from smart thermostats, refrigerators, freezers, and dehumidifiers. The data shows discrepancies between tracked and evaluated savings, indicating potential issues with measurement or evaluation methods.
Table 20: Evaluated 2024 ASFH Modelled Measure Gross Energy and Peak Demand Savings Total Energy Savings Gross Energy Savings Without Adjustment Ratio (AR) – at the Meter (GWh) 4.484 Gross Energy Savings with AR – at the Meter (GWh) 3.111...
AI summary Table 20 and Table 21 present energy and peak demand savings from the 2024 Affordable Single-Family Housing (ASFH) program. The tables include modeled and non-modeled measures, with energy savings calculated using line loss factors provided by NS Power. The data highlights the impact of various efficiency measures on energy and peak demand, including heat pumps and appliance replacements.
Table 22: Evaluated 2024 ASFH Gross Electrical Energy and Peak Demand Savings Measure Category Modelled Measures Non-modelled Heat Pumps Smart Thermostats Appliance Replacements Total Number of Participants with Savings 880 254 79 - 1,193...
AI summary Table 22 presents the evaluated 2024 energy and peak demand savings from the Affordable Single-Family Housing (ASFH) program. The table includes data on the number of participants, gross energy savings, effective useful life, and gross peak demand savings across various measure categories such as heat pumps, smart thermostats, and appliance replacements.
11.1 EPI Description EPI provides participants with free-of-charge direct installations of energy efficient products. EPI has played a pivotal role in transforming the residential lighting market by making energy-efficient products more af...
AI summary EPI provides free direct installations of energy-efficient products, transforming the residential lighting market by making energy-efficient products more affordable. As LEDs become the baseline, EPI will phase out lighting measures and focus on electrician-installed products, which are key for Residential Demand Response activities. E1 contracts service providers to deliver EPI across the province, available to both homeowners and renters.
Table 26: 2024 EPI Evaluation Approach Evaluation Objectives Research Questions Methodology Collect information on participant perspectives › How do participants become aware of EPI? › What is the level of satisfaction with the program com...
AI summary This section outlines the 2024 EPI Evaluation Approach, focusing on participant perspectives, gross and net results calculation, and identifying new opportunities for electrician-installed measures. The evaluation includes surveys, tracking sheet audits, site visits, and jurisdictional scans.
Site Visits In September and October 2024, Equilibrium Engineering (a brand under the LMMW Group Ltd.) performed on-site visits in 60 participant homes. The site visits served mainly to establish installation rates, the results of which ar...
AI summary In September and October 2024, Equilibrium Engineering conducted on-site visits in 60 homes to assess installation rates, with results detailed in Subsection 14.2.1 and methodology outlined in Appendix XVI.
Table 37: 2024 EPI Net-to-gross Ratios by Product Category Products Participant Type NTGR Proportion of Product Category Gross Savings by Participant Type Overall NTGR Values LED Lamps and Lighting Non-low-income Participants 0.92 32% Rela...
AI summary Table 37 presents the 2024 EPI net-to-gross ratios by product category, showing the effectiveness of energy efficiency programs for different participant types. It highlights the NTGR for various products, such as LED lamps, smart thermostats, and air sealing products, with varying ratios for low-income and non-low-income participants.
17.1 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 reso...
AI summary The Green Heat component of the Existing Residential program encourages the installation of energy-efficient heating systems in Nova Scotia homes, offering financial incentives for high-efficiency heat pumps, biomass heating systems, solar heating systems, and demand reduction measures. Incentives were updated in February 2024 and a pilot program for three-element water heaters was discontinued in March 2024.
Table 41: Implementation Status of Past Recommendations for Green Heat # Past Recommendations Status Comments 2023-GH-R1 It would be in E1's best interest to ensure that Green Heat marketing materials are available to contractors and parti...
AI summary Table 41 details the implementation status of past recommendations for Green Heat. E1 has made progress on several recommendations, including creating marketing materials, redesigning the Green Heat website, and improving communication with contractors and participants. However, some recommendations, such as offering increased incentives for low and moderate-income households, are still in progress.
Past Participant Survey A total of 240 Green Heat participants composed of 204 MHSP participants and 36 wood/pellet stove or fireplace insert participants took part in a web survey in October 2024. The past participant survey served to col...
AI summary A survey of 240 Green Heat participants was conducted in October 2024 to gather insights on home renovations, including the installation of heat pumps or wood stoves, and prior air conditioning usage. The results are detailed in appendices, with Table 43 showing sample sizes and margins of error, noting that biomass measures had a sample size slightly below the 10% margin of error target.
Table 64: 2024 HEA NTGR Values Measure Free-ridership Participant Spillover NTGR Energy Efficiency Measures 17% 0.84 Solar PV Measures 26% 1% 0.75 23.3.4 Unconverted Assessment Spillover
AI summary Table 64 provides 2024 HEA NTGR values for Energy Efficiency Measures and Solar PV Measures, showing free-ridership and participant spillover rates. Section 23.3.4 discusses unconverted assessment spillover, which likely relates to the impact of these measures on broader energy efficiency outcomes.
Table 65: 2024 HEA Unconverted D Assessment Spillover Savings Parameters Tracked Values Evaluated Values Total Number of Unconverted D Assessment Participants 1,868 Ratio of Unconverted D Assessment Participants Who Implemented at Least On...
AI summary Table 65 outlines the 2024 HEA Unconverted D Assessment Spillover Savings, showing data on participants who implemented energy efficiency measures and the associated energy and peak demand savings. The table includes metrics such as participant numbers, savings in kWh and GWh, and the demand-to-energy ratio. Savings attributed to previous unconverted D assessment participants are reversed to prevent double counting.
23.3.5 Savings Deductions for Participation in Other Residential Programs Several measures are offered under both HEA and Green Heat. In addition, Efficient Product Installation (EPI) introduced air sealing measures in 2019, and Solar Home...
AI summary To avoid double-counting energy savings, net electrical savings from Green Heat or EPI are deducted from HEA savings for overlapping participants. E1 developed a tool to identify overlaps using customer information fields, which helps reduce duplication in energy savings claims.
Table 68: Evaluated 2024 HEA Net Energy and Peak Demand Savings Energy Efficiency Measures Solar PV Measures Total Energy Savings Gross Energy Savings – at the Meter (GWh) 9.409 26.202 35.611 Unconverted D Assessment Spillover Energy Savin...
AI summary Table 68 outlines the evaluated 2024 HEA (Home Energy Assessment) net energy and peak demand savings, showing that HEA exceeded its energy and peak demand savings targets by 68% and 81%, respectively. The table includes metrics such as gross energy savings, net energy savings with deductions, and effective useful life of measures.
Table 69: Comparison of 2024 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 E1 41.992 GWh 0.70 29.552 GWh 108% Evaluati...
AI summary Table 69 compares 2024 Home Energy Assessment (HEA) tracked and evaluated savings at the generator level. It shows energy and peak demand savings tracked by E1 and evaluation results, including Gross Savings, Net Total Gross Savings (NTGR), Net Savings, and Realization Rates.
24 HEA Key Findings and Recommendations As mentioned previously, the main objectives of the 2024 HEA evaluation were as follows: › Calculate gross and net results, namely electrical first-year and lifetime energy savings, peak demand savin...
AI summary The 2024 HEA evaluation found that net electrical energy and demand savings exceeded targets, with participation reaching a historic high due to the CGH Grant. Solar PV measures contributed significantly to savings, but future participation may decline post-CGH Grant closure. Energy savings tracked by E1 were lower than evaluation results, prompting adjustments. A recommendation to remove wood/pellet fireplace inserts from HEA is proposed due to low savings.
29.1 Description The Residential Behaviour program component, publicly branded as Efficiency Insights, is designed to help Nova Scotia Power (NS Power) residential customers reduce their electricity consumption. The component provides a su...
AI summary The Residential Behaviour program, branded as Efficiency Insights, helps NS Power customers reduce electricity use via personalized Home Energy Reports (HERs) and behavior tips. E1, using Bidgely's algorithms, integrates HERs into NS Power's MyEnergy Insights platform. Energy Solutions Advisors (ESAs) assist customers, and savings are evaluated annually through billing analysis. Funded under E1's 2023-2025 DSM Plan, the program launched in May 2024 with four reports issued in 2024.
Table 80: 2024 Treatment and Control Group Sizes Wave Population Size (N) Treatment Group Size Control Group Size Group Sizes at the Time of Selection 1 – High users 119,132 101,273 17,859 2 – Medium users 103,752 93,233 10,519 3 – Low use...
AI summary The table presents the treatment and control group sizes for residential behavior programs in 2024, showing attrition due to account closures, participant movement, and customers switching to solar rate codes. These customers are removed from the study as they no longer provide valid billing analysis comparisons.
Analysis of Participation in Other Programs The Evaluator compared the participation levels between the treatment and control groups in other residential program components offered by E1, namely Efficient Product Installation (EPI), Green...
AI summary The Evaluator analyzed participation rates in E1's residential programs (EPI, Green Heat, HEA) between treatment and control groups to verify higher engagement in treatment groups and adjust savings calculations to prevent double-counting.
31.2.4 Peak Demand Savings No peak demand savings targets were set for Residential Behaviour and no peak demand savings were calculated as part of the 2024 evaluation.
AI summary No peak demand savings targets were established for residential behavior programs, and no corresponding savings were quantified in the 2024 evaluation, indicating a gap in residential demand management efforts within the regulatory framework.
31.2.5 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling. For Residential Behaviour, interactive effect...
AI summary Interactive effects occur when energy efficiency measures impact other energy-consuming systems like heating and cooling. For residential behavior, these effects are already factored into savings calculations through whole-house energy consumption data analysis.
31.2.7 Savings Deductions for Participation in Other Residential Programs As mentioned in Subsection [29.1](#page-186-1) above, a secondary aim of Residential Behaviour is to encourage customers to engage with other ENS programs tailored t...
AI summary The Residential Behaviour program aims to encourage participation in other ENS programs. Savings deductions are calculated if treatment groups show higher participation in EPI and Green Heat programs. Statistically significant differences were found in participation levels for high and medium users in Green Heat and EPI, requiring savings deductions for those waves.
Table 87: Overall 2024 Existing Residential Participation and Evaluated Savings Particip ation Level Gross Savings NTGR Net S Savings Value Unit Value Unit Value Value Unit AMH • Energy Savings 83 Projects 1.159 GWh 1.00 1.159 GWh Lifetime...
AI summary Table 87 presents data on residential participation and evaluated savings for 2024, including energy savings, GHG emission reductions, and EUL for various programs like AMH, ASFH, EPI, Green Heat, HEA, MHEEP, and Residential Behaviour. The table also includes net savings ratios (NTGR) for each program component.
EXISTING RESIDENTIAL PROGRAM Final Appendix Report
AI summary The document presents a final appendix report focused on the existing residential program, though specific details or analysis within the program are not elaborated in the provided text.
[Problems renovation work] - 32. I hadn't realised how long the renovation work would take / the extent of the renovation work - 33. I didn't want the mess of the renovation work - 34. It was taking too long to schedule the renovation work...
AI summary Participants report challenges with renovation work, including unexpected duration, logistical difficulties in scheduling, inability to prepare buildings, contractor shortages, and unspecified issues. These barriers highlight concerns about program implementation and participant readiness.
Table 1: Protocol Used for Project Reviews Project ID Facility Address Project Contact Name Project Contact Phone Number Project Contact Email Measure Count 1 2 Total Measure Description Energy Savings Methodology Used for Calculating Savi...
AI summary The document outlines a protocol for project reviews, focusing on verifying energy savings calculations, ensuring proper modeling and calibration of buildings, and assessing discrepancies between claimed savings and documentation. It also includes a section on recommendations for Affordable Multifamily Housing (AMH) in 2024.
[INTRODUCTION] Hello, my name is _____________ and I am calling from Narrative Research, a market research company. We are performing an evaluation of energy efficiency services provided by Efficiency Nova Scotia, and we have a survey toda...
AI summary A survey is being conducted by Narrative Research on the HomeWarming program provided by Efficiency Nova Scotia. The survey aims to gather feedback from participants and includes verification through the Canadian Research Insights Council. Respondents are asked if they participated in the program and are provided with details about the program's offerings.
A. Awareness of the Program - A1. a. How did you become aware of Efficiency Nova Scotia's HomeWarming program? [DO NOT PROBE IF 98 IN 'a'] b. Anything else? [DO NOT READ. MULTIPLE RESPONSES. PLEASE RECORD THE FIRST MENTION SEPARATELY FROM...
AI summary The text outlines survey questions about awareness and participation motivations for Efficiency Nova Scotia's HomeWarming program, listing channels like website, bill inserts, and social media, and reasons such as energy cost savings and environmental concerns.
B. Satisfaction & Experience with the Program The following series of questions will be focused on your satisfaction and experience with the HomeWarming program. B1. Using a 0 to 10 scale, where 0 is "definitely would not" and 10 is "defin...
AI summary The text discusses a survey on satisfaction and experience with the HomeWarming program, asking respondents to rate their likelihood of recommending the program and their overall satisfaction on a 0 to 10 scale. It includes placeholders for responses and refusal options.
C. Benefits and challenges The following series of questions will be focused on the benefits you received and challenges you may have experienced from participating in the Home Warming program. - C1. On a scale of 0 to 10, where 0 is "do n...
AI summary The text outlines a survey methodology to assess participant experiences with the Home Warming program, focusing on perceived benefits (comfort, cost savings, space utilization, winter warmth) and challenges. It includes structured questions with scales and open-ended responses to gather qualitative and quantitative feedback.
D. Opportunities for Improvement The following series of questions will be focused on improving the HomeWarming program. - D1. [ASK IF < MEASURE CATEGORY = MODELLED > ] What questions, if any, do you have about the different upgrades insta...
AI summary The text outlines opportunities to improve the HomeWarming program by addressing participant questions about upgrades, heat pump installations, and communication preferences. Recommendations include expanding available upgrades, simplifying processes, improving product information, and enhancing stakeholder interaction.
A1. How did you become aware of Efficiency Nova Scotia's HomeWarming program? Anything else? Overall Measure Category % Modelled% Heat Pump% Sample Size (#) 52 22 30 Word of mouth/friends/family 37% 36% 37% Online – general 31% 23% 37% Soc...
AI summary The text discusses how participants became aware of Efficiency Nova Scotia's HomeWarming program through various channels such as word of mouth, online sources, and social media. It also outlines the main reasons participants were interested in the program, primarily to save on energy costs.
B1. Using a 0 to 10 scale, where 0 is "definitely would not" and 10 is "definitely would", what is the likelihood you would recommend the HomeWarming program to your family or friends? Overall Measure Category % Modelled% Heat Pump% Sample...
AI summary The HomeWarming program received high satisfaction ratings, with 94% of respondents indicating they would recommend it to others and 87% expressing satisfaction with the program overall. The majority of participants were highly satisfied with the program, though some noted issues with the quality of interactions, dissatisfaction with energy efficiency upgrades, and difficulties with the enrolment process.
- a. The way you enroll in the program Overall Measure Category % Modelled% Heat Pump% Sample Size (#) 52 22 30 10 - Completely satisfied 69% 77% 63% 9 8% 14% 3% 8 13% 5% 20% 7 4% 5% 3% 6 4% 0% 7% 5 2% 0% 30% 4 0% 0% 0% 3 0% 0% 0% 2 0% 0%...
AI summary The text presents survey results on customer satisfaction with a program, comparing overall responses, modelled responses, and heat pump-specific responses. The data shows high satisfaction levels, with the majority of respondents rating their experience as 8, 9, or 10.
- a. Interactions and communications with the contractor [INSERT ] who you were in contact with to schedule appointments and organize the installation of the upgrade(s) Overall Measure Category % Modelled% Heat Pump% Sample Size (#) 52 22...
AI summary The text presents survey results on customer satisfaction with interactions and services related to energy upgrades, including contractor communication, energy audits, and installation services. The data shows high levels of satisfaction across different categories, with the highest satisfaction rates for heat pump installations.
- a. [IF MEASURE CATEGORY = MODELLED] I learned about my home's energy usage during the initial Home Energy assessment Overall Measure Category % Modelled% Heat Pump% Sample Size (#) 22 22 0 10 - Completely agree 36% 36% 0% 9 9% 9% 0% 8 27...
AI summary The text presents survey results regarding customer satisfaction with home energy assessments. Respondents rated their agreement with learning about their home's energy usage during the initial assessment, with mean scores of 7.5 for the overall category and 8.5 for the Modelled category. No responses were recorded for the Heat Pump category.
- a. My home is more comfortable because of the energy efficient upgrades I received Overall Measure Category % Modelled% Heat Pump% Sample Size (#) 52 22 30 10 - Completely agree 60% 64% 57% 9 4% 0% 7% 8 19% 14% 23% 7 8% 9% 7% 6 2% 5% 0%...
AI summary The text presents survey results on customer satisfaction with energy-efficient upgrades, showing that a majority of respondents (83%) strongly agree (ratings of 8, 9, 10) that their homes are more comfortable due to the upgrades. The data is split into overall, modelled, and heat pump categories, with varying levels of agreement across the categories.
D1. [IF MEASURE CATEGORY = MODELLED] What questions, if any, do you have about the different upgrades installed through the Home Warming program? Overall Measure Category % Modelled% Heat Pump% Sample Size (#) 22 22 0 Other efficiency upgr...
AI summary The document presents survey results from participants in the Home Warming program, highlighting areas for improvement such as communication, information availability, and program awareness. Most respondents indicated satisfaction, but some requested more details about the program and how to operate heat pumps.
E1. What type of residence do you live in? Overall Measure Category % Modelled% Heat Pump% Sample Size (#) 52 22 30 Detached single-family home 75% 91% 63% Semi-detached house 4% 0% 7% Mobile home or house trailer 15% 9% 20% Townhouse or d...
AI summary The text presents survey data on residence types, locations, household sizes, age groups, education levels, and gender distribution among respondents. The data is categorized into 'Overall', 'Measure Category', and 'Heat Pump%' to compare different segments of the population.
Introduction Hello, may I speak with [Contact name] ? My name is [Interviewer name] and I'm calling from Narrative Research, a market research firm. Efficiency One has mandated the evaluation of its HomeWarming Program, which provides buil...
AI summary The text introduces a phone call from Narrative Research evaluating Efficiency One's HomeWarming Program, which provides building envelope upgrades and heat pumps to eligible homeowners, with Efficiency Nova Scotia's involvement. The call aims to gather contractor perspectives on the program.
B. Respondent Involvement in the Program - B1. To begin, what is your title, and could you briefly describe your company and your role and responsibilities? - B2. How long have you been completing heat pump projects for Efficiency Nova Sco...
AI summary The section outlines questions posed to a respondent regarding their role in the HomeWarming program, duration of involvement with Efficiency Nova Scotia, and annual project volume. It focuses on the respondent's participation in heat pump installations under the program.
C. Program Strengths and Challenges Now, I would like to discuss the HomeWarming program – heat pump delivery process with you. In general, we understand that a project includes the following steps: [READ]The contractor receives informatio...
AI summary The HomeWarming program's heat pump delivery process involves contractor coordination with Efficiency Nova Scotia (ENS) for participant outreach, sizing, installation, and reimbursement. The text seeks confirmation of the process and feedback on its effectiveness, challenges, and potential improvements from contractors and participants.
- (iv) What could be improved? Steps (a) Problems Faced by DAs (b) Working Well for DAs (c) Problems Faced by Participants (d) Working Well for Participants (e) What could be improved? ASK IF NOT COVERED 1 The contractor receives informati...
AI summary The document outlines the process for installing heat pumps under the Efficiency Nova Scotia HomeWarming program, including steps taken by contractors and Efficiency Nova Scotia, and mentions potential improvements and questions participants might have about heat pump technology.
D. Program Effectiveness and Satisfaction Now, I would like to discuss your satisfaction with the HomeWarming program. D1. On a scale of 0 to 10, where 0 is "not at all satisfied" and 10 is "completely satisfied", how would you rate your s...
AI summary The document asks participants to rate their satisfaction with the HomeWarming program on a scale of 0 to 10 and to provide reasons if their rating is 7 or lower.
- E1. What additional support, tools, or training could Efficiency Nova Scotia provide to help make your job easier? - E2. [IF SUPPORT MENTIONED AT E1] How would you like Efficiency Nova Scotia to deliver this support to you? [PROBE: webin...
AI summary The text presents a series of questions aimed at gathering feedback on how Efficiency Nova Scotia can better support its employees and improve the HomeWarming Program, particularly in relation to heat pump technology and participant education.
- E5. Using a 0 to 10 scale, where 0 is "definitely would not" and 10 is "definitely would", what is the likelihood you would recommend the HomeWarming program to your family or friends? Score /10: 98. (Don't know) (b) (Refused)
AI summary The HomeWarming program's recommendation likelihood is being assessed on a scale from 0 to 10, with one respondent indicating they 'don't know' and another refusing to answer.
A. Respondent Involvement in the Program First, I would like to know more about your background and involvement with the program. A1. Please tell me your title and briefly describe your role in the HomeWarming Program.
AI summary The text includes a question seeking information about the respondent's role in the HomeWarming Program, focusing on their title and involvement. No specific details or claims are provided in the excerpt.
B. Program Delivery Now, I would like to discuss the HomeWarming program delivery process with you. In general, we understand that a project includes the following steps: [READ] - 1. The delivery agent (DA) receives information about inter...
AI summary The HomeWarming program delivery process involves multiple steps, including participant outreach, energy assessments, upgrade approvals, and installation. The process is being reviewed to identify what is working well, what issues have been faced, and potential improvements.
- e. What could be improved? Steps (a) Problems Faced by DAs (b) Working Well for DAs (c) Problems Faced by Participants (d) Working Well for Participants (e) What could be improved? ASK IF NOT COVERED 1 The delivery agent (DA) receives in...
AI summary The document outlines a process involving delivery agents (DAs) and Efficiency Nova Scotia in conducting energy assessments and installing upgrades. It highlights areas for improvement in the process, including communication, approval of upgrades, and participant engagement.
C. Satisfaction Now I would like to discuss your satisfaction with the program. C1. On a scale of 1 to 10, where 1 is "not at all satisfied" and 10 is "completely satisfied", how satisfied are you with each of these aspects of the HomeWarm...
AI summary The section asks participants to rate their satisfaction with the HomeWarming Program on a scale from 1 to 10, with a request for a reason if the rating is 7 or lower.
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 HomeWarming program overall /10 What could be improved? b. HW participation levels /10 W...
AI summary The HomeWarming program and related aspects such as participation levels, range of upgrades, product quality, and communication effectiveness are being evaluated. Stakeholders are asked to identify areas for improvement.
[VOLUNTEERED] - 98. Don't know - 99. Refused - E8. [IF [E7=](#page-107-2)YES] Just to confirm: Have I understood correctly that you had already made the decision to purchase and install smart thermostats in your home before you learned abo...
AI summary Survey questions assess customer behavior regarding smart thermostat purchases and the Efficient Product Installation Service (EPI), including whether respondents would have bought thermostats without EPI and pre-existing decisions to install them.
[VOLUNTEERED] - 98. Don't know - 99. Refused - F4. [I[F F1=](#page-112-0)1] Do you agree or disagree that because of your previous participation in another Efficiency Nova Scotia program or service and what you learned by participating, yo...
AI summary The text contains survey questions assessing customer participation in Efficiency Nova Scotia programs, including awareness of energy efficiency promotions, prior program engagement, and perceived influence on energy-saving decisions. Questions focus on residential program impact and customer behavior.
B1. How did you first learn about the Efficient Product Installation Service? First Learned About EPI Service 2021 2024 Sample Size 100 100 Word-of-mouth 32% 22% Online advertisement on smart phone, computer or tablet 8% 16% 2021: Social m...
AI summary The text discusses how participants first learned about the Efficient Product Installation Service (EPI) through various channels, with word-of-mouth being the most common method in 2021 and 2024. The data shows changes in the methods of learning about EPI over time, with online advertisements and social media playing a growing role.
B3. Were there any other reasons? 2018 2021 2024 Reasons for Participating Most Important Motivation Other Important Motivations Most Important Motivation Other Important Motivations Most Important Motivation Other Important Motivations Sa...
AI summary The table presents survey results showing the motivations for participating in energy efficiency programs in 2018, 2021, and 2024. The primary motivation shifted from saving on energy costs in 2018 to environmental protection in 2024, with a notable increase in participants citing no other reasons over time.
B4. Were you present when these energy efficient products were installed? \ Was Present During Installation 2018 2021 2024 Sample Size 100 100 100 Yes 92% 91% 95% No 8% 8% 4% Refused - 1% 1% Wording change in 2021 B5. Did you receive infor...
AI summary The data shows a high percentage of respondents were present during the installation of energy-efficient products in 2018, 2021, and 2024. There was an increase in the percentage of respondents who received information from installers over the years, with a significant drop in those who did not receive any information.
B6. Would you have liked to receive information about energy efficient products from the installer? \ Interested in Receiving Information 2018 2021 (#) 2024 (#) Sample Size 34 15 11 Yes 68% 7 5 No 28% 6 6 Don't know 4% 2 - Base: Respondent...
AI summary The text presents survey data on customer satisfaction with the Efficient Product Installation (EPI) Service. It shows a slight decline in satisfaction from 2018 to 2021, followed by a slight increase in 2024. Customers also provided feedback on reasons for dissatisfaction, such as expectations not being met and product preferences.
C3. What was the most important reason you were satisfied with the service overall? Key Reasons Satisfied with EPI Overall 2018 2021 2024 Sample Size 94 80 95 I like the installer who visited the home 38% 26% 41% Informative/Information re...
AI summary The survey shows that 41% of participants in 2024 cited liking the installer as the most important reason for satisfaction with the EPI service, up from 26% in 2021. Other factors like informative information and good service were also mentioned, but with lower percentages.
D1. When you initially thought about participating in the Efficiency product Installation Service, what were your concerns, if any? \ Concerns about the Service 2018 2021 2024 Sample Size 100 100 100 Would save money - 9% 8% Would save ene...
AI summary The text presents survey data on concerns related to the Efficiency Product Installation Service (EPI) across three years (2018, 2021, 2024). It shows a decrease in concerns over time, with the most common concerns being related to product efficiency, program requirements, and scheduling. A majority of respondents had no concerns, and a significant portion had already decided to install LED bulbs through EPI before learning about the service.
E4. Without the Efficient Product Installation Service, how likely would you have been to take the initiative to purchase LED bulbs at a store and install them yourself in your home? \ If No EPI, Likelihood of Taking Initiative to Purchase...
AI summary The text presents survey results on customer behavior related to LED bulb and smart thermostat installation. It asks respondents how likely they would have been to purchase and install LED bulbs themselves if the Efficient Product Installation Service (EPI) was not available. The data shows that most respondents would not have taken the initiative without EPI.
Previous Participation in an ENS Program or Service Was a Major Factor in Decision to Have Energy Efficient Products Installed in Home 2021 2024 Sample Size 34 44 Agree 79% 95% Disagree 21% 5% Base: In 2021, respondents who had LED bulbs a...
AI summary A survey indicates that previous participation in an ENS program or service significantly influenced the decision to install energy-efficient products in homes, with 79% of respondents in 2021 and 95% in 2024 agreeing with this statement.
G1. Since participating in the Efficient Product Installation Service, have you installed any additional efficient products in your home? Installed Additional Efficient Products Since Participating in EPI 2021 2024 Sample Size 100 100 Yes...
AI summary The text presents data on the installation of energy-efficient products by participants in the Efficient Product Installation Service (EPI) in 2021 and 2024. The percentage of participants who installed additional efficient products decreased slightly, and there is a shift in the types of products installed over time.
G4. Did you receive an instant rebate at the cashier for the [energy efficient product] you purchased? Received Instant Rebate at Cashier for Energy Efficient 2021 (#) 2024 (#) Improve quality of work 2% 1% - Complete work faster 2% 1% - R...
AI summary The text presents survey data on customer experiences with receiving instant rebates for energy-efficient products purchased at the cashier. It highlights that the majority of respondents did not receive instant rebates and includes demographic details such as home type, number of bedrooms, and ownership status.
Table 1: Jurisdictional Scan Findings Jurisdiction Program Entity Offering the Program Energy Efficiency Measures Source Florida Neighborhood Weatherization Program Tampa Electric Free Energy Audit Six energy-efficient LED light bulbs Wate...
AI summary Table 1 outlines energy efficiency programs across different jurisdictions, including Florida's Neighborhood Weatherization Program offered by Tampa Electric, which provides various energy-saving measures. The table also includes a row for Canadian Direct-install Programs, though no details are provided.
B. Verification of Actions Taken The following questions concern "the energy efficiency upgrades" "the installation project" that you completed through your participation in in for the house located at - B1. "Were your energy efficiency up...
AI summary This document outlines a verification survey for energy efficiency upgrades and heat pump installations under Nova Scotia programs. It asks participants about renovations involving added floor area, heating previously unheated rooms, fireplace/wood stove usage changes, and heat pump installations, ensuring compliance with program requirements.
APPENDIX XXII Green Heat Past Participant Survey Results TABLE B1: Was your Green Heat installed as part of a renovation project that involved adding floor area to your home? By adding floor area, we mean that you added an extension to you...
AI summary This section presents survey results from past participants of the Green Heat program, focusing on whether their Green Heat installations were part of renovation projects involving the addition of floor area to their homes.
Examples of such renovation projects would be that, you finished your basement and started heating it, or you could have changed a sunroom so that it became heated throughout the year whereas it previously was not.
AI summary The text provides examples of home renovation projects that involve heating improvements, such as finishing a basement or converting a sunroom into a heated space.
OVERALL % SAMPLE SIZE (#) 240 Yes, the renovation project involved heating rooms that were previously not heated/were minimally heated 16% No, the renovation project did not involve heating rooms that were previously not heated/were minima...
AI summary The text presents survey data on heat pump installations and their impact on fireplace and wood stove usage, as well as the presence of air conditioners. The majority of respondents did not heat previously unheated rooms, and most did not have fireplaces or wood stoves. Usage of these heating methods decreased for some after energy efficiency upgrades.
APPENDIX XXIV Green Heat Detailed Methodology and Billing Analysis
AI summary Appendix XXIV outlines the methodology and billing analysis for the Green Heat initiative, focusing on energy efficiency programs, appliance retirement, and heat pump adoption in Nova Scotia. It includes technical details on cost recovery, program evaluation, and regulatory considerations for residential and commercial energy efficiency measures.
MSHP Measures Table 2 presents the results of the billing analysis for the Green Heat MSHP measure. Treatment participants who mentioned adding heated floor area as part of their Green Heat renovation project were excluded from the analysi...
AI summary Table 2 provides the results of the billing analysis for the Green Heat MSHP measure, excluding participants who added heated floor area. Previous results from the 2017 evaluation are included for comparison.
Table 2: MSHP Billing Analysis Results Scenario Number of Treatment Participants Average Heating Capacity (Btu/h) Average Variation in Energy Consumption of Treatment (Tpre-Tpost, kWh) Average Variation in Energy Consumption of Control (Cp...
AI summary Table 2 presents the results of a billing analysis for MSHP (Mini-split heat pump) participants, comparing energy consumption variations between treatment and control groups. The fully electrical scenario shows significant energy savings, while the mainly electrical scenario shows a slight increase in energy consumption. The analysis includes average savings and margin of error for each scenario.
Table 4: Econoler and Energy Trust savings results Scenario Number of Participants Average Savings (kWh) Sample Description Sample N Average Evaluated Savings (kWh) Econoler Green Heat Results Energy Trust Results Fully electric 99 1,514 W...
AI summary Table 4 presents savings results from the Econoler and Energy Trust programs, showing average kWh savings for fully electric and partially electric participants. The overall results include data from 2020-2022, with the note that supplemental heating information was only available for 2022 participants.
OVERALL % SAMPLE SIZE (#) 483 Yes 2% No 98% TABLE B2: Were your energy efficiency upgrades installed as part of a renovation project that involved heating rooms that were previously not heated or were only minimally heated (for example, at...
AI summary The tables present survey data on energy efficiency upgrades, including the percentage of participants who installed upgrades during renovation projects involving heating previously unheated rooms, the presence of fireplaces or wood stoves, changes in their usage after upgrades, and the installation of heat pumps. The survey data is part of the Home Energy Assessment program.
A. Verification and Recall - A1. Just to confirm, do you recall having an Energy Advisor from a delivery partner of the Home Energy Assessment program come to your home located at to complete a home energy assessment in ? - 1. Yes [CONTINU...
AI summary This section verifies whether respondents had a Home Energy Assessment conducted by a delivery partner's Energy Advisor, received recommendations, completed upgrades, and booked follow-up visits for rebate qualification. It also confirms current residence at the addressed location.
B. Upgrades Implemented and Influence B1. Which of the following upgrades, if any, did you implement after you received your home energy assessment report? [DO NOT ROTATE - CODE ONE ONLY PER STATEMENT] [1 = YES, IMPLEMENTED, 2 = NO, NOT IM...
AI summary The document outlines a survey assessing homeowner upgrades post-home energy assessment, including heat pumps, insulation, and smart thermostats, and evaluates the assessment's influence on implementation decisions. It also inquires about rebate applications for heat pump installations.
Which of the following upgrades, if any, did you implement after you received your home energy assessment report? OVERALL % SAMPLE SIZE (#) 76 None 5% 1 of 9 33% 2 of 9 34% 3 of 9 17% 4 of 9 9% 5 of 9 0% 6 of 9 0% 7 of 9 1% 8 of 9 0% 9 of...
AI summary The text presents survey data on home energy upgrades and rebate applications following home energy assessments. It includes statistics on the number of upgrades implemented, rebate applications for heat pumps, and reasons for not proceeding with follow-up visits by Energy Advisors.
TABLE C1/C2: TOTAL MENTIONS: Which one of the following best describes the reason why you chose not to have the follow-up visit by an Energy Advisor? Were there other reasons as well? OVERALL % SAMPLE SIZE (#) 76 Follow-up visit was too di...
AI summary The table presents reasons why participants did not have follow-up visits by Energy Advisors, with the most common reason being lack of time. Another table asks if participants would be interested in a future free energy assessment. The appendix mentions a HEA Tracking Sheet Audit but provides no details.
3.3 Distributor Satisfaction with Instant Rebates Distributors (n=10) were asked to express their level of satisfaction with various aspects of Instant Rebates using a 10-point scale where 1 means "Not at all satisfied" and 10 means "Very...
AI summary Distributors expressed high satisfaction with Instant Rebates, with an average score of 8.3 out of 10. Satisfaction with service support and communications was even higher at 9.3. However, some dissatisfaction arose due to the maturity of LED technology and time-intensive administrative tasks.
Table 6: 2024 Distributor Satisfaction with Instant Rebates (10-point Scale) Distributors Mean Overall Service 8.3 10 Service Support and Communications provided by E1 9.3 10 Rebate Processing, Tracking, and Reporting 8.4 10 \ Scale: 1 = N...
AI summary Table 6 presents 2024 distributor satisfaction scores with instant rebates on a 10-point scale, with overall service receiving a mean score of 8.3, service support and communications from E1 scoring 9.3, and rebate processing, tracking, and reporting receiving 8.4.
3.4 Service Influence on Distributors Similar to 2022, distributors of LED linear fixtures, LED linear lamps, and LED outdoor fixtures were questioned about the different strategies employed to sell each of these product categories in 2024...
AI summary Distributors in 2024 promoted LED products through strategies such as Instant Rebates, discounts, and training workshops, particularly for LED fixtures. These efforts were more common for LED fixtures than for LED lamps. Distributors noted limited availability of non-LED alternatives, which influenced their strategies.
Distributors' desire for increased sales and profits had the greatest influence on their sales strategy choices for qualifying LED products, closely followed by product quality or value. The incentives offered by E1 were also an important...
AI summary Distributors prioritize sales and profits when selecting LED products, with incentives from E1 and product quality also playing significant roles. ENS's educational efforts had minimal influence on increasing LED lighting sales in 2024.
Rebate Values As outlined in [Table](#page-77-2) 27, the average rebate values under Instant Rebates have remained relatively steady for all measure categories since 2022. This is in part due to E1 capping incentives either at a set maximu...
AI summary The average rebate values under Instant Rebates for LED fixtures and lamps have remained steady since 2022, partly due to E1 capping incentives at a set maximum or 75% of unit price, whichever is lower.
C. Participation and Decision to Purchase - C1. [ASK IF CONTRACTOR [A3=](#page-90-0)2] Who usually makes the decision to buy rather than standard ? Is it… [READ CODE 1-2 AND 96. SINGLE RESPONSE] . - 1. You or someone else in your organizat...
AI summary The document outlines a series of questions aimed at understanding decision-making processes related to purchasing energy-efficient products, such as LED lighting, and the factors influencing these decisions. It explores who makes the purchase decisions, whether customers seek advice, and the importance of various factors like energy efficiency, cost savings, and incentives.
D12. How influential were the following four factors in your decision to purchase ? [RANDOMIZE] Factor (READ AND RANDOMIZE) Responses a. [ASK IF D1=1 OR D2=2] The program rebate 1. Very influential 2. Somewhat influential 3. Not very influ...
AI summary The text presents a survey question (D12) asking respondents about the influence of four factors in their decision to purchase an efficient product. The factors include program rebates, information from Efficiency Nova Scotia representatives, information from distributors, and the prevalence of LED products. The survey includes response options ranging from 'Very influential' to 'Not at all influential' and includes options for 'Don't know' and 'Refused'.
ASK ALL - READ AND ROTATE (E1 + E2-E4) AND (E5 + E6-E8) SEQUENCES - E1. Before participating in the Business Energy Rebates program in , had your company/organization at any time in the past already participated in the Business Energy Reba...
AI summary The text outlines a series of questions for participants in the Business Energy Rebates program, inquiring about prior participation in Efficiency Nova Scotia programs and the influence of past experiences on current decisions regarding energy efficiency. It includes branching logic based on responses.
[READ IF [E5=](#page-99-0)1] For the following statements, please indicate whether you agree or disagree. E6. [IF E5=1] Do you agree or disagree that Efficiency Nova Scotia promotional materials or communications were a major factor in the...
AI summary The text contains survey questions related to the impact of Efficiency Nova Scotia promotional materials on purchasing decisions for efficient products, specifically LED lighting. It also asks about the proportion of lighting projects involving rebate recipients.
A3. Did you purchase these products for your own organization, or are you a company purchasing products for a customer or project outside of your organization? Purchase for Contractor or End User 2018 2019 2020 2021 2022 2024 Sample Size 5...
AI summary The text presents data on the purchase of energy efficiency products, showing the percentage of purchases made for the organization versus for clients or projects outside the organization across multiple years. It also details the decision-makers and the main activities of the organizations involved.
C8. [ASK IF A3=1, C1=1 OR C3=1; DO NOT ASK IF 98 OR 99 IN C4] What was the SECOND most important reason you purchased rather than standard PRODUCT>? [DO NOT READ. SINGLE RESPONSE.] 1. Availability of other alternatives 2. Energy efficie...
AI summary The text presents a series of survey questions related to customer purchasing decisions regarding efficient products, including reasons for purchase, distributor recommendations, and project types. It also includes conditional questions based on prior responses.
New construction% Replacement of existing fixtures or lamps% [TOTAL MUST EQUAL 100%] F3. [ASK IF Response to F2 Replacement of existing fixtures or lamps ≠ 0] And, of those lighting projects that were for replacement of existing lamps or f...
AI summary The text presents a series of questions related to the replacement of existing lighting fixtures and the adoption of LED lighting. It seeks information on the proportion of existing lamps or fixtures that are working but nearing the end of their life, broken, or still functional, as well as reasons for slower adoption of LED lighting and building types with the most potential for LED adoption.
Table 2: 2024 Instant Rebates Corrected Tracked Savings - Pumping Program Component Results Value Tracked by E1 Corrected Tracked Value Relative Difference Value Unit Value Unit Value Instant Rebates - Pumping Gross Energy Savings at the G...
AI summary Table 2 shows the 2024 Instant Rebates Corrected Tracked Savings for Pumping. The data indicates that both gross and net energy and peak demand savings at the generator remained unchanged after correction, with a negligible difference of -0.09%.
Table 1: Instant Rebates Distributor Influence Level Algorithm 2022 Algorithm 2024 Algorithm
AI summary The text presents a table titled 'Instant Rebates Distributor Influence Level Algorithm,' comparing algorithms from 2022 and 2024. It appears to outline changes or improvements in how distributor influence levels are calculated for instant rebate programs, though no specific details or arguments are provided in the text.
This appendix summarizes all the recommendations made by the Evaluator as part of the 2024 BER evaluation. Section Recommendations Executive Summary Recommendation #1: Undertake additional research to further validate the market evaluation...
AI summary The Evaluator recommends additional research to validate market evaluation results for LED baseline effectiveness in BER-IR, reviewing eligibility criteria for LED lighting in new construction, maintaining the non-LED baseline for BER-IR, and planning for a shift in product offerings from BER-IR to BER-AR. The recommendations also focus on improving tracking of multi-wattage products and increasing interest in controlled lighting products.
New Construction In 2024, 28 projects claimed savings under New Construction: 27 complete projects and 1 project, a new industrial facility, that was partially completed and for which savings were claimed because the building was commissio...
AI summary In 2024, 28 New Construction projects achieved energy savings, including 27 completed projects and one partially completed industrial facility commissioned in 2024. Savings reached record highs, with 21.495 GWh and 4.004 MW in gross energy and peak demand savings. The number of completed projects increased after a decline between 2021–2023.
4.1.1 Subsector Participation As shown in [Figure](#page-195-3) 6, [14](#page-195-4) MURBs have made up most of the New Construction projects since 2022. MURB and non-MURB participation was about equal during 2020 and 2021, then non-MURB p...
AI summary The text discusses trends in subsector participation for New Construction projects, noting that Multi-Unit Residential Buildings (MURBs) became the majority since 2022. While overall participation slightly declined, MURB projects remained dominant, with significant growth in 2024. Non-MURB participation decreased during this period.
ty requirements and municipal building rules limit these opportunities to some degree, this information indicates that there may be some opportunity for the service to widen its reach outside the HRM. While insufficient modelling support c...
AI summary The text highlights opportunities to expand energy efficiency programs beyond the HRM, noting barriers like limited modeling support and lower program awareness in rural areas. Energy modellers recommend tailored outreach, in-person engagement, and targeted messaging to address rural builders' needs, such as familiarity with oil-based systems over heat pumps. Growth rates inside HRM (24% annually) outpace those outside (15% annually).
E. Program satisfaction - E1. On a scale from 1 to 10 (where 1 = not at all satisfied and 10 = very satisfied) … - a. how would you rate your satisfaction with each of the following aspects of the New Construction program?
AI summary The document asks participants to rate their satisfaction with the New Construction program on a scale from 1 to 10, where 1 indicates not at all satisfied and 10 indicates very satisfied.
E. Program Awareness and Participation - E1. Have you ever heard of the New Construction program from Efficiency Nova Scotia? - 1. Yes - 2. No - 98. Don't know - 99. Refused
AI summary This section of the document asks respondents whether they are aware of the New Construction program from Efficiency Nova Scotia, with response options including 'Yes', 'No', 'Don't know', and 'Refused'.
E2. [IF E1 = 1] How familiar are you with the New Construction program? Are you [READ RESPONSES] familiar with the program? 1. Very 2. Somewhat 3. Not very; or 4. Not at all 98. Don't know 99. Refused E3. [IF E1=1] How did you hear of the...
AI summary The text presents a survey with questions about familiarity with the New Construction program, how participants heard about it, and reasons for non-participation. It includes multiple-choice responses and is likely part of a larger study or evaluation of program awareness and engagement.
DIRECT INSTALLATION PROGRAM Final Report 2024 DSM EVALUATION March 25, 2025
AI summary The document outlines the 2024 evaluation of the Direct Installation Program under Demand-Side Management (DSM), part of Efficiency Nova Scotia's initiatives. The report, dated March 25, 2025, assesses program performance and outcomes as part of Nova Scotia's energy efficiency efforts.
Table 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 the Direct Installation program.
AI summary Table 2 outlines the Direct Installation program's participation levels, net-to-gross ratios, evaluated gross and net savings, annual GHG emission reductions, and effective useful life values at the generator level.
Table 2: Overall 2024 Direct Installation Participation and Evaluated Savings 1 Participation Level Gross Savings NTGR Net Sa avings Value Unit Value Unit Value Value Unit Energy Savings 673 2 Units 13.459 GWh 0.81 10.854 GWh Lifetime Ener...
AI summary Table 2 presents the 2024 participation and evaluated savings from direct installation programs, including energy savings, lifetime energy savings, peak demand savings, and GHG emission reductions. The table also includes the net-to-gross ratio (NTGR) for these savings, with an indication that 741 of the rebated units were part of the CDI Pilot projects.
Table 3: Comparison of 2024 SBES Tracked and Evaluated Savings at the Generato[r](#page-129-1) 3 Gross Savings Net Savings Realization Value Unit NTGR Value Unit Rate Energy Savings Tracked Savings by E1 12.936 GWh 0.81 10.426 GWh 104% Eva...
AI summary Table 3 compares the tracked and evaluated energy and peak demand savings from the 2024 SBES and CDI Pilot programs. It shows gross and net savings, along with realization rates, indicating that evaluated savings slightly exceed tracked savings for both energy and peak demand.
Introduction & Screener 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 provided by Efficiency Nova Scotia. We...
AI summary A survey conducted by Narrative Research on behalf of Efficiency Nova Scotia seeks feedback from small businesses in Nova Scotia regarding energy efficiency practices. The survey aims to improve energy efficiency programming for small businesses and is expected to take about 10 minutes.
a) SBES Small Business Energy Solutions The program offers eligible small businesses in Nova Scotia access to energy assessments, energy efficiency contractors, rebates and financing for the installation of energy efficient upgrades. [Retr...
AI summary The Small Business Energy Solutions (SBES) program provides eligible small businesses in Nova Scotia with energy assessments, access to energy efficiency contractors, rebates, and financing for energy-efficient retrofits. Rebates cover up to 80% of project costs, and pre-approval is required for upgrades.
B4. [IF B3 = A) Lighting] What type of lighting did you install? Please indicate how many of each category. [READ AS NEEDED, MULTIPLE RESPONSES – COLLECT QUANTITY IN NUMERIC BOX] a. Interior lighting – T5/T8 fluorescents b. Interior lighti...
AI summary The document includes a table and questions related to energy efficiency upgrades, focusing on lighting types, upgrade descriptions, and the reasons for implementing energy efficiency measures. It also asks about financial assistance received for these upgrades.
[ASK IF A1='No' OR 'Don't know'] I am going to read you a brief description of a rebate program offered by Efficiency Nova Scotia to small businesses in the province. Please indicate if you've heard of this program after hearing the descri...
AI summary The text describes a rebate program offered by Efficiency Nova Scotia for small businesses and asks if the respondent is familiar with it.
[ASK IF A1 OR A2='Yes (SBES)'] Have you applied to participate in the Small Business Energy Solutions Program in the past? OVERALL FULL-TIME WORKERS RENT OWN OR BUSINESS' MAIN ACTIVITY # >5 5-19 20+ O R L R S W M A O SAMPLE SIZE (#) 16 9 5...
AI summary The table provides data on participation in the Small Business Energy Solutions (SBES) program, showing that 5 out of 16 respondents have applied in the past, with responses categorized by business size, ownership, and main activity.
[ASK IF A4 = 'Yes'] Did you complete your participation in the Small Business Energy Solutions and receive your rebate(s)? OVERALL FULL-TIME WORKERS RENT OWN OR BUSINESS' MAIN ACTIVITY # >5 5-19 20+ O R L R S W M A O SAMPLE SIZE (#) 5 2 2...
AI summary The text asks if participants completed the Small Business Energy Solutions program and received their rebates. It includes a table with sample data on participation and rebate receipt across different business categories.
[ASK IF '2020 THRU 2024' IN B8 OR NOT 'Don't know' IN B9] Did you receive some form of financial assistance for these energy efficiency upgrades to your business? OVERALL FULL-TIME WORKERS RENT OWN OR BUSINESS' MAIN ACTIVITY # >5 5-19 20+...
AI summary This table provides data on the number of businesses that received financial assistance for energy efficiency upgrades between 2020 and 2024. It categorizes responses by business size, ownership type, and primary activity, with a total sample size of 8 businesses.
[ASK IF '2020 THRU 2024' IN B8 OR NOT 'Don't know' IN B9] Thinking about when you decided to install energy efficiency upgrades in your business, please indicate how influential the following factors were using a response of very, somewhat...
AI summary The text asks respondents to evaluate the influence of various factors on their decision to install energy efficiency upgrades in their business, using a scale from very to not at all.
[ASK IF '2020 THRU 2024' IN B8 OR NOT 'Don't know' IN B9] Thinking about when you decided to install energy efficiency upgrades in your business, please indicate how influential the following factors were using a response of very, somewhat...
AI summary The text presents a survey question asking respondents to evaluate the influence of various factors on their decision to install energy efficiency upgrades in their business, using a scale from 'very' to 'not at all'.
[ASK IF '2020 THRU 2024' IN B8 OR NOT 'Don't know' IN B9] Thinking about when you decided to install energy efficiency upgrades in your business, please indicate how influential the following factors were using a response of very, somewhat...
AI summary The text asks respondents to evaluate the influence of various factors on their decision to install energy efficiency upgrades in their business, using a scale from 'very' to 'not at all'.
[ASK IF '2020 THRU 2024' IN B8 OR NOT 'Don't know' IN B9] Thinking about when you decided to install energy efficiency upgrades in your business, please indicate how influential the following factors were using a response of very, somewhat...
AI summary The text asks respondents to evaluate the influence of various factors on their decision to install energy efficiency upgrades in their business, using a scale from 'very' to 'not at all'.
1.1 Residential DR Description In 2023, E1 officially launched the Residential DR program component. Since the fall of 2020, E1 has implemented several pilot initiatives focused on reducing demand during the Nova Scotia peak period. The Ec...
AI summary In 2023, E1 launched the Residential DR program, including the Eco Shift Pilot, which allows residents to contribute to demand reduction using eligible devices. The program involves remote control of devices during peak periods, with participants notified in advance and given the option to opt out. NS Power called 10 DR events during the 2023-2024 winter peak season.
Table 6: Implementation Status of Past Recommendation for Res DR # Recommendation Status Comments 2023 –Res DR – R1 Ensure that available DR capacity tracked by E1 includes the in-service rate as well as the unitary available DR capacity v...
AI summary Table 6 outlines the implementation status of past recommendations for Residential Demand Response (Res DR), noting that one recommendation remains unaddressed due to its applicability to an unevaluated pathway. In 2024, 353 participants enrolled 1,307 devices in Residential DR, with Mysa thermostats comprising 83% of installed devices.
Table 7: Eco Shift Pilot Device Enrollment per 2023-2024 Event Devices Enrolled per Event Event # Date Connected EVs and EV Chargers Mysa Thermostats Sinopé Thermostats Total 1 01-09-2024 17 934 140 1,091 2 01-16-2024 36 947 141 1,124 3 01...
AI summary Table 7 presents the number of devices enrolled in the Eco Shift Pilot during events from January to February 2024, including connected EVs, thermostats, and total enrollment. The document also references a section on the evaluation approach for residential demand response (DR) programs.
3 Residential DR Impact Evaluation The objective of the 2024 Residential DR impact evaluation was to determine new and total available DR capacities.
AI summary The 2024 Residential DR Impact Evaluation aimed to assess new and total available demand response (DR) capacities, focusing on residential programs. This evaluation seeks to quantify the potential for DR participation and its implications for grid management and energy efficiency initiatives in Nova Scotia.
Form of the Regression After reviewing existing literature to identify the most appropriate baseline methodology for this evaluation, the Evaluator decided to use a regression model that considers the time of week and outdoor temperature t...
AI summary The Evaluator chose a regression model incorporating time-of-week and outdoor temperature to establish a baseline for evaluating a smart thermostat program. This approach accounts for temperature impacts on electricity consumption and leverages a large dataset, contrasting with methods using previous similar days. The model's preference stems from its common use in similar programs and ability to differentiate temperature impacts across varying times of the week.
ABBREVIATIONS ADL Average number of dried loads AHRI Air-Conditioning, Heating, and Refrigeration Institute AHRI Air-Conditioning, Heating, and Refrigeration Institute AMH Affordable Multi-family Homes (program component) ARet Appliance Re...
AI summary This document provides a comprehensive list of abbreviations and their expansions relevant to Nova Scotia's regulatory proceedings, covering energy efficiency programs, technologies, and metrics.
Table 1: Measure Assessment Change Log Change Type Section Description Date Update 2.4.3 (2) Refrigerator Replacements and (3) Freezer Replacements Measures are now listed under HomeWarming and MHEEP in place of ARet 2024-03-12 Update 2.6....
AI summary This table outlines updates to energy efficiency measures in various sections, including changes to program listings, savings values, and performance metrics, with updates occurring on March 12, 2024, and March 19, 2025.
Table 2: Included Residential Measures Measure Program Component Lighting LED Lamps EPI Instant Savings LED Fixtures Instant Savings Dimmer Switches Instant Savings Motion Sensors Instant Savings LED Nightlights EPI Solar Fixtures Instant...
AI summary Table 2 lists various residential energy efficiency measures and their associated program components, including lighting, water heating, space heating, appliances, and demand reduction. Each measure is linked to specific programs such as EPI, Instant Savings, Green Heat, and others.
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 residential 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, making the study applicable to EfficiencyOne (E1) lighting measures.
Table 3: Interactive Effects Factors for Residential Lighting Products Installed Indoors Type of Home % of Homes2 Energy Interactive Effects Factor3 Peak Demand Interactive Effects Factor4 Heat Pump Heating and Air Conditioning 38% -58% /...
AI summary Table 3 presents interactive effects factors for residential lighting products installed indoors, categorized by the type of home. The data includes energy and peak demand interactive effects factors for different heating and air conditioning configurations, with a weighted average provided for all categories.
Hours of Operation The daily hours of operation value is based on the 2020 Residential Lighting Hours-of-Use Quick Hit Study (RLHOU)[19](#page-96-0) in which the data collected through the 2014 Northeast Residential Lighting Hours-of-Use (...
AI summary The document analyzes residential lighting hours-of-use (HOU) data from the 2020 RLHOU study and 2014 NERHOU study, noting differences in efficient bulb usage. Three theories (differential socket selection, shifting usage, snapback effect) explain higher HOU for efficient bulbs. Adjustments of 0.2 hours/day were added to avoid overestimating savings, with distinct HOU values applied to E1 and EPI programs.
Installation Rates The installation rate is assumed to be 100%. 2024-2025 DSM Measure Assessment 24 NMR Group Inc. and DNV GL, Residential Lighting Hours-of-Use Quick Hit Study , March 31, 2020, p. 22. 25 NMR Group Inc. and DNV GL, Northea...
AI summary The installation rate is assumed to be 100% for the 2024-2025 DSM Measure Assessment. Footnotes reference studies on residential lighting usage and an OPA document regarding prescriptive measures.
Table 20: Representative Lamp Mix Calculation for Outdoor Motion Sensor Security Lighting Lamp Wattage Parameter Value Reference Representative 150 W x 16% [incandescent] + 90 W Assumed a representative lamp mix using the United States lam...
AI summary Table 20 presents a representative lamp mix calculation for outdoor motion sensor security lighting, assuming a mix of incandescent, halogen, CFL, and LED lamps based on U.S. Department of Energy data. The calculation results in an average lamp wattage of 44.6 W.
Since solar fixtures consume no electricity from the grid, all the electrical energy consumed by the baseline fixture is saved. The only solar fixtures currently offered are outdoor security fixtures with motion sensors. The unitary saving...
AI summary The text discusses the energy savings calculation for solar fixtures with motion sensors, highlighting that these fixtures consume no electricity from the grid. The unitary savings value is calculated using a specific equation involving baseline wattage, old hours-of-use, and a conversion factor. E1 mandates that electricians replace non-LED outdoor fixtures with solar fixtures.
2.2 Water Heating
AI summary Section 2.2 outlines water heating programs and initiatives, referencing acronyms like DSM, ARet, and CGH Grant. It highlights regulatory frameworks and efficiency measures, though no explicit arguments or stakeholder positions are presented in the provided text.
Hot Water Insulation Measures For hot water insulation measures, namely pipe insulation and hot water tank wraps, the interactive effects factors are based on engineering calculations to account for the duration of the heating and cooling...
AI summary The text details methodology for calculating interactive effects of hot water insulation measures (pipe insulation and tank wraps), considering heating/cooling seasons, system efficiency, and heat distribution in conditioned spaces. It highlights differences between single-family homes and apartments due to installation likelihood in conditioned areas.
Single-family Homes Based on site visit results from the 2015 evaluation[48](#page-112-2) and accounting for the proportion of DHW insulation measures installed in conditioned spaces, the average number of months during which heating inter...
AI summary The analysis estimates that heating interactive effects in single-family homes occur for 3.8 months annually, with DHW insulation measures having minimal cooling impact. Heat loss assumptions and COP adjustments for heat pumps (dividing by 1.8) are applied to refine efficiency calculations based on Federal Energy Efficiency Regulations.
Table 28: 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 N/A 0% 0% Assumption...
AI summary Table 28 presents interactive effects factors for various water heating measures on energy savings and peak demand savings, varying by home type and heating system. Factors range from -60% to +5.2% for peak demand savings, with calculations and assumptions provided for each measure.
(2) Solar Domestic Hot Water
AI summary The section focuses on solar domestic hot water (DHW) systems, likely discussing their role in energy efficiency programs, regulatory considerations, or technical specifications within Nova Scotia's energy framework.
Table 32: Solar Domestic Hot Water Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Solar domestic hot water heating rebated after purchase - Baseline Existing conventional electric water heater...
AI summary Table 32 summarizes the Solar Domestic Hot Water Measure, detailing parameters such as installation rate, effective useful life, and energy savings. The measure involves rebating solar domestic hot water heating systems after purchase, with a baseline of conventional electric water heaters.
Table 33: Heat Pump Water Heater Measure Summary Parameter HEA, MHEEP Instant Savings, HPWH Reference Measure Description and Identification Measure transformation initiative (HPWH) Heat pump water heaters for electric DHW heating with dir...
AI summary Table 33 summarizes the energy savings parameters for heat pump water heaters (HPWH) under different programs, including Instant Savings, HEA, and MHEEP. It outlines metrics such as unitary energy savings, peak demand savings, and installation rates, with references to subsections for detailed calculations.
Table 40: 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 40 presents electrical unitary savings values for faucet aerators in single-family homes and apartments, including baseline and low-flow rates, water usage parameters, and energy savings calculations based on various sources and conventions.
Table 58: Ground-source Heat Pump Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure Ground-source heat pumps for high-efficiency space rebated after installation (HEA) or rebated after purcha...
AI summary Table 58 outlines the parameters for the Ground-source Heat Pump Measure Summary, including installation rates, effective useful life, and energy savings calculations based on HOT2000 simulation data. The table provides details on baseline heating systems, unitary energy savings, and peak demand-to-energy ratios.
Table 62: Wood and Pellet Boiler and Furnace Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure purchase (Green Heat) Wood and pellet boilers and furnaces rebated after installation (HEA) or r...
AI summary Table 62 provides a summary of energy savings parameters for wood and pellet boilers and furnaces under the Green Heat and HEA programs. It includes details on installation rates, effective useful life, unitary energy savings, peak demand savings, and interactive effects factors.
Table 65: Solar Air Heating Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Solar air heating systems rebated after installation - Baseline Electric space heating (resistance or heat pump) Gene...
AI summary Table 65 outlines the parameters for the Solar Air Heating Measure, including installation rates, useful life, and energy savings calculations using RETScreen. The table highlights energy savings and peak demand savings, with various parameters detailed in subsections of the document.
Electrical Unitary Energy Savings 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.[100](#pag...
AI summary The document discusses the calculation of electrical unitary energy savings for programmable thermostats, referencing a 2009 Hydro-Québec evaluation and a 2021 Statistics Canada census profile. It highlights differences in savings values for single-family homes versus other dwelling types and mentions the Instant Savings program's baseline assumptions.
Table 75: Electrical Unitary Energy Savings Calculation for Smart Thermostats for Electrical Heating Systems Instant Savings, MHEEP, ASFH, EPI Single-family homes EPI Apartments Parameter Symbol Value for Electric Baseboard or Electric In-...
AI summary Table 75 provides an electrical unitary energy savings calculation for smart thermostats in electrical heating systems, including data for single-family homes and apartments, with values for different heating systems and assumptions used in the calculations.
Table 83: Refrigerator Retirement/Replacement Measure Summary Parameter ARet HomeWarming / MHEEP Reference Measure Description and Identification Measure Retirement and recycling of old refrigerators New efficient refrigerators - Baseline...
AI summary Table 83 provides a summary of the Refrigerator Retirement/Replacement Measure, detailing parameters such as measure description, baseline, installation rates, energy savings, and peak demand savings for different refrigerator categories.
Table 85: Freezer Retirement/Replacement Measure Summary Parameter ARet HomeWarming / MHEEP Reference Measure Description and Identification Measure Retirement and recycling of old freezers New efficient freezers - Baseline Continued usage...
AI summary Table 85 presents a summary of the Freezer Retirement/Replacement Measure, detailing parameters such as installation rates, energy savings, and peak demand savings for both old and new freezers. It includes baseline scenarios, measure descriptions, and references to subsections for further details.
Table 127: Three-element Water Heater Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Description Three-element water heaters rebated after purchase - Baseline Conventional two-element water he...
AI summary The table outlines a program offering rebates for the purchase of three-element water heaters, with a focus on peak demand savings. No energy savings are expected from this measure, and the baseline is conventional two-element water heaters. The effective useful life is 12 years, and the unitary peak demand savings are 200 W.
Table 129: Electric Thermal Storage Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Description Electric thermal storage systems rebated after purchase - Baseline Heating systems without electr...
AI summary The table outlines the Electric Thermal Storage Measure Summary, indicating that no energy savings are expected from the Green Heat program. The measure involves rebating electric thermal storage systems after purchase, with a baseline of heating systems without such systems. Installation rates and other parameters are detailed in the document.
Unitary Peak Demand Savings For electric thermal storage, an eight-hour charging period is assumed based on the residential off-peak period in Nova Scotia Power's time of day rate. It is also assumed that the stored heat is provided equall...
AI summary The calculation for unitary peak demand savings for electric thermal storage assumes an 8-hour off-peak charging period and equal 16-hour heat distribution. Savings are derived by dividing the maximum 8-hour storage capacity by 16, using manufacturer specifications to determine storage limits.
Table 131: Domestic Water Heater Load Control Measure In-service Rates Type In-service Rate Margin of Error Source Shifted 81% 4% Residential DR 2023 Evaluation 2.7 Renewables
AI summary Table 131 presents the in-service rate for the Domestic Water Heater Load Control Measure at 81% with a 4% margin of error, sourced from the Residential DR 2023 Evaluation. The section also introduces a discussion on renewables under section 2.7.
Table 132: Solar Photovoltaic System Measure Summary Parameter HEA Reference Measure Description and Identification Measure Solar PV systems of a maximum of 100 kW, rebated after installation - Baseline No solar PV systems General Paramete...
AI summary Table 132 outlines the Solar Photovoltaic System Measure under HEA, including parameters such as installation rate, useful life, and energy savings calculations. Savings are based on SolarHomes projects, using PV Watts with predefined loss factors.
Table 133: Electrical Savings Values for SolarHomes Parameter Symbol Value Reference Modelled Energy Production [kWh] - Varies per project Project documentation, using PV Watts Snow Loss Factor [%] - For panel tilt angles ≥ 25°: 1% Norther...
AI summary Table 133 outlines the electrical savings values for the SolarHomes program, including parameters such as modelled energy production, snow loss factors, adjustment ratios, and unitary energy savings. Savings are calculated by multiplying system capacity in kW by a factor of 1,086 kWh/kW, derived from calibrated data.
Table 135: EUL Values and Sources for Non-LED Lighting Residential Measures Measure Name Appliances Clotheslines and Outdoor Drying Racks Instant Savings 10 IESO PMA List, 2019 (Value for indoor clothes drying racks, retractable clotheslin...
AI summary Table 135 outlines the Energy Use Life (EUL) values and sources for non-LED lighting residential measures, including clotheslines, drying racks, and refrigerator retirements and replacements. The table provides data on the EUL values, associated programs, and the sources used to calculate these values.
Table 162: Electrical Unitary Energy Savings Values for LED Nightlights Parameter Value Reference Old Wattage [W] 7.0 Assumption based on the typical wattage value of an incandescent nightlight New Wattage [W] 0.3 Wattage value of the LED...
AI summary Table 162 provides energy savings values for LED nightlights compared to traditional incandescent models. It includes parameters such as old and new wattage, average displaced wattage, hours of operation, and annual unitary energy savings. The table is used to calculate unitary peak demand savings as outlined in Subsection 5.1.2.
(1) Electric Thermal Storage
AI summary The document section titled 'Electric Thermal Storage' likely discusses energy efficiency programs involving electric thermal storage technology, though no detailed content is provided in the text chunk. The heading suggests a focus on residential or commercial heating solutions using thermal storage systems.
Table 181: Billing Analysis Savings Results for Smart Thermostats for Electrical Heating Systems Jurisdiction Measure Sample Size Heating Consumption Savings Oregon231 Nest thermostats 185 12% (for ASHPs) Bonneville Power Administration232...
AI summary Table 181 presents billing analysis savings results for smart thermostats used in electrical heating systems in Oregon and by the Bonneville Power Administration. The data shows a 12% heating consumption savings for air-source heat pumps (ASHPs) with Nest thermostats, based on a sample size of 185 and 176 respectively.
5.4.4 Water Heating Measures
AI summary The section outlines water heating measures under energy efficiency programs, including rebates, grants, and technical standards. Key entities involve organizations like NS Power and Efficiency Nova Scotia, with topics centered on residential and commercial energy efficiency initiatives.
Summary Table 200 presents a summary of the values used to calculate low-flow showerhead savings. The detailed methodology follows.
AI summary Table 200 summarizes the values used to calculate low-flow showerhead savings, with the detailed methodology provided in the following text.
Table 203: Faucet Aerator Measure Summary Parameter SBES Reference Measure Description and Identification Measure Faucet aerators, with direct installation - Baseline No faucet aerator on standard flow-rate faucets General Parameters Insta...
AI summary Table 203 provides a summary of the Faucet Aerator Measure under the SBES program, detailing parameters such as installation rate, energy savings, and peak demand savings. The table references subsections and a technical reference manual for further details.
Table 237: Solar Air Heating Measure Summary Parameter BER-AR Reference Measure Description and Identification Measure CSA approved Solar air heating systems rebated after installation - Baseline Electric space heating (resistance or heat...
AI summary This table provides a summary of the Solar Air Heating Measure, including parameters such as installation rate, effective useful life, and energy savings calculations using RETScreen. The measure involves CSA-approved solar air heating systems rebated after installation, with a baseline of electric space heating.
Table 345: EUL Values for BNI LED Lamps and Fixtures Measure Program Component Average Rated Lifetime (hours) Annual HOU (hours/year) Equipment Life 2024 Equivalent EUL LED Decorative (Chandelier) SBES 25,000 3,600 6.9 1.0 LED Omnidirectio...
AI summary Table 345 presents EUL (Effective Useful Life) values for various BNI LED lamps and fixtures under different programs, including SBES and BER-AR. The table includes metrics such as average rated lifetime, annual HOU, equipment life, and 2024 equivalent EUL for different lamp types and replacements.
Table 373: Instant Rebates Distributor Influence Level Algorithm Current Algorithm Adjusted Algorithm E7 promotional materials or communications prompted a company representative to ask a contractor or a distributor about efficient lightin...
AI summary Table 373 outlines the 'Instant Rebates Distributor Influence Level Algorithm,' comparing the current and adjusted algorithms for measuring distributor influence in the context of efficient lighting options. The table includes response rates and categories such as 'Don't know/Refused' and 'EMPTY.'