E-32025 DSM Evaluation Reports
79 passages
Demand-side Management Measure Assessment Document The impact evaluation scope for 2025 also included an update of the Demand-side Management Measure Assessment (DSM MA) document. The DSM MA was updated to include new products added to pro...
AI summary The 2025 update to the DSM MA document focused on aligning with updated program offerings, removing outdated products (e.g., lighting from Instant Savings), revising algorithms for residential and commercial measures, and correcting technical inconsistencies. Annual adjustment ratios were also updated. Key changes included additions like smart thermostat load control and removals such as specific LED fixtures and heat pump water heaters.
1.2 Process and Market Evaluation Objectives and Scopes One market evaluation was completed in 2025. Market evaluation activities were aimed at achieving the following objectives: - › Validate 2024 market evaluation results and determine t...
AI summary A 2025 market evaluation validated 2024 results for Business Energy Rebates (BER) LED fixtures baseline timing and assessed implications for BER Application Rebates and Small Business Energy Solutions (SBES). A separate process evaluation for Residential Demand Response (DR) collected feedback on participation and operational improvements, with results in evaluation reports.
Table 3: 2025 Interviews Completed Program Component 1 Program Manager/ E1 Staff/Business Development Manager Service Providers/ Distributors/Retailers/Builders Participants Program Manager in Other Jurisdictions Residential Appliance Reti...
AI summary Table 3 outlines the number of interviews conducted in 2025 for various program components, including Residential, Business Energy Rebates, and Demand Response. The data indicates the involvement of program managers, service providers, participants, and managers from other jurisdictions.
2.1.4 Metering or Billing Data Analyses In 2025, a Residential Behaviour billing analysis was performed on the months for which AMI data were available (i.e. January to April 2025)[7](#page-18-3) to calculate net electrical energy savings,...
AI summary In 2025, a Residential Behaviour billing analysis used AMI data (Jan-April 2025) to assess net electrical energy savings via difference-in-difference methods. Metering data analyses for Residential Demand Response updated inservice rates and DR capacities for smart thermostats, EV controls, and batteries during Dec 2024–Feb 2025, focusing on winter DR events.
Data Collection This subsection describes the data-collection activities conducted for the process and market evaluations. As discussed above, surveys and interviews were integrated, where applicable, to enable the simultaneous collection...
AI summary The subsection outlines data collection methods including in-depth interviews with stakeholders and surveys targeting Residential Demand Response non-participants. Interviews explored program component experiences, while surveys assessed awareness, benefits, and barriers. Results are detailed in referenced tables.
Jurisdictional Scans The Evaluator conducted two jurisdictional scans across other jurisdictions in Canada and the United States (US), one for Business Energy Rebates – Instant Rebates, and the other for Residential Demand Response. As par...
AI summary The Evaluator conducted two jurisdictional scans: one for Business Energy Rebates – Instant Rebates, focusing on BNI lighting offers and TRM baseline/EUL values, and another for Residential Demand Response, examining strategies for program scaling from pilot to full implementation.
Table 5: Comparison of 2025 Evaluated and Tracked Electrical Energy Savings at the Generator a Program Component Tracked Results Evaluated Results DSM Program Annual Gross Savings (GWh) Annual Net Savings (GWh) Annual Gross Savings (GWh) N...
AI summary Table 5 compares the evaluated and tracked electrical energy savings from various programs in 2025. It includes data on residential and BNI programs, showing gross and net savings, net-to-gross ratios, lifetime savings, and net realization rates for each component.
Table 6: Comparison of 2025 Evaluated and Tracked Peak Demand Savings at the Generator a Program Component Tracked Results Evaluated Results Difference DSM Program Annual Gross Savings (MW) Annual Net Savings (MW) Available Capacity (MW) A...
AI summary Table 6 compares the evaluated and tracked peak demand savings at the generator for various programs in 2025. It highlights differences in net savings and available capacity across residential, BNI, and demand response programs, with varying net realization rates.
Demand Response The Demand Response program is comprised of two program components, namely Residential Demand Response (Residential DR) and Business, Non-profit, and Institutional Demand Response (BNI DR). In 2025, Demand Response achieved...
AI summary The Demand Response program includes Residential DR and BNI DR components, achieving 6.795 MW of available capacity in 2025. Program results for each component are detailed in the text.
Residential Demand Response - › Residential DR participation increased substantially during the 2024/25 DR season,[16](#page-31-1) with 3,676 participants and 11,405 enrolled devices across all four pathways, an increase of 907% compared t...
AI summary Residential DR participation surged by 907% in 2024/25, with 3,676 participants and 11,405 devices, primarily smart thermostats. However, available DR capacity reached only 0.854 MW, far below the planned 7.135 MW. The evaluated capacity was 58% higher than E1's tracked value due to higher unitary values for smart thermostats.
Table 12: Evaluated Net Peak Demand Savings at the Generator, 2020-2025 DSM Peak Demand Savings (MW) Peak Demand Savings (%) Program Program Component 2020 2021 2022 2023 2024 2025 2020 2021 2022 2023 2024 2025 Residential Residential Appl...
AI summary Table 12 evaluates the net peak demand savings from various energy efficiency programs in Nova Scotia from 2020 to 2025, highlighting the contributions of residential, BNI, and overall portfolio programs in reducing peak demand in megawatts and percentages.
6 Process Evaluation Results For the 2025 evaluation, the Evaluator conducted one process evaluation for Residential Demand Response.
AI summary The 2025 process evaluation focused on Nova Scotia's Residential Demand Response program, assessing its implementation and effectiveness as part of the regulatory proceeding.
Residential Demand Response To collect feedback from program staff, service providers, staff from other jurisdictions, and non-participants on increasing/maintaining participation along with opportunities for operational improvements, the...
AI summary An evaluation of Nova Scotia's Residential Demand Response program involved surveys, interviews, and a jurisdictional scan to assess participation rates, gather feedback from stakeholders, and identify operational improvements. Key findings from the process evaluation are highlighted, focusing on program effectiveness and areas for enhancement.
Table 14: 2025 Recommendations on Residential Program Components No. Recommendation Residential DR – R5 Investigate ways to improve EV device potential for DR considering the low participation rate in DR events. To improve participation, c...
AI summary The recommendation suggests investigating ways to improve the participation rate of EV devices in demand response (DR) events, including leveraging bidirectional chargers to use EVs as batteries during DR events.
ca/corporate/statistics/neud/dpa/menus/trends/comprehensive/trends_res_ns.cfm) Apex Analytics LLC, Energy Trust of Oregon Nest Thermostat Heat Pump Control Pilot Evaluation, October 10, 2014, p. 123. Bonneville Power Administration, Nest L...
AI summary The text references studies on smart thermostat and heat pump control pilot programs by Apex Analytics, Energy Trust of Oregon, and Bonneville Power Administration, evaluating demand response and energy efficiency initiatives. Statistics Canada census data is cited for demographic context.
Survey Margins of Error The Evaluator used the margin of error calculation of the 2025 Residential DR non-participant survey as an example. Below are the steps followed to calculate this margin of error. The margin of error was established...
AI summary The Evaluator demonstrated the margin of error calculation for the 2025 Residential DR non-participant survey using a proportion-based formula involving Zα, p, n, and N. This method quantifies statistical uncertainty in survey results.
Table 3: Comparison of 2025 Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Unit Electrical Energy Savings Tracked Savings by E1 1.378 GWh 1.00 1.378 GWh 100% Evaluation Resul...
AI summary Table 3 compares tracked and evaluated savings for various energy efficiency programs in Nova Scotia in 2025, including electrical energy and peak demand savings. The table includes data for programs such as Affordable Multifamily Housing, Affordable Single-family Homes, Efficient Product Installation, Green Heat, and others, with metrics like Net-to-Gross Ratios and Realization Rates.
Table 23: Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure – Apartments LED Lamps Product Category 9 W Replacing 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units - - 455 - 1,193 - 4 - Insta...
AI summary Table 23 evaluates the 2025 EPI gross electrical energy and peak demand savings per measure in apartments, focusing on LED lamps. It provides data on unitary energy and peak demand savings, adjustment ratios, and line loss factors for various wattage replacements.
The detailed results per measure are presented in [Table](#page-17-0) 29 below. The net electrical energy savings resulted in 3,426 tonnes of CO2 eq in net annual GHG emission reductions. LED Lamps Product Category 9 W Replacing 25 W 29 W...
AI summary The document presents detailed results of energy savings from LED lamps, showing net annual GHG emission reductions of 3,426 tonnes of CO2 eq. The table includes gross and net electrical energy savings, net-to-gross ratios, line loss factors, and peak demand savings at both the meter and generator levels.
25.3 Participation History Residential Behaviour is an opt-out program component, which means that E1 enrolls customers, and customers remain in the program until they opt out online or by contacting E1. The targeted population for Residen...
AI summary The Residential Behaviour program by E1 is an opt-out initiative targeting NS Power customers with rate codes 02B and 03B. Participants are split into high, medium, and low usage groups, with attrition rates driven by account closures, relocations, and solar rate code switches. Inactive accounts and solar-switching customers are excluded from receiving Efficiency Insights reports.
ABBREVIATIONS BDM Business Development Manager BER Business Energy Rebates BNI Business, non-profit, and institutional BOpt Building Optimization CPA Customer Project Agreement DR Demand response DSM Demand-side management DSM MA Demand-si...
AI summary A list of abbreviations and their expansions used in regulatory proceedings, including terms related to energy efficiency, demand-side management, and utility programs. Key acronyms include DSM, BER, and NSUARB, with definitions covering technical, programmatic, and organizational terms.
Residential DR Findings and Recommendations This subsection presents the key findings and recommendations from the 2025 Residential DR evaluation. The recommendations are also outlined in Appendix VII. 2025 Res DR-Finding: Residential DR o...
AI summary The 2025 Residential DR evaluation highlights a diverse mix of eligible devices, integration of pathways into 'Eco Shift,' program design updates, and documentation issues blending with BNI DR. Service providers report smooth operations and positive collaboration with E1, but slower growth is expected due to testing needs.
1 Residential DR Overview This section describes the Residential DR program component, follows up on past evaluation recommendations, and provides an overview of Residential DR participation history.
AI summary This section outlines the Residential Demand Response (DR) program component, addresses past evaluation recommendations, and provides an overview of historical participation in residential DR initiatives.
Table 6: Residential DR 2024/25 Event Summary Event # Date Start Time Duration (Hours) Outdoor Temperature at Event Start (°C) 1 12-04-2024 5 p.m. 4 -3 2 12-20-2024 7 a.m. 4 -3 3 12-23-2024 5 p.m. 4 -8 4 01-21-2025 5 p.m. 4 -8 5 01-22-2025...
AI summary Table 6 summarizes Residential Demand Response (DR) events in 2024/25, including dates, times, durations, and outdoor temperatures at event starts. It differentiates between enrolled and participating devices, with enrolled devices being ready for control but not necessarily controlled during events.
Table 7: Implementation Status of Past Recommendations for Residential 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 ca...
AI summary This table outlines the implementation status of past recommendations for Residential Demand Response (DR). Two recommendations from 2023 and 2024 have been completed, with E1 agreeing to track in-service rates and unitary available DR capacity values and to re-analyze Eco Shift Pilot data to improve accuracy and consistency.
For Residential DR, participation is defined as the number of households participating in each technology pathway. Therefore, a household participating in both the Smart Thermostat DLC and EV Telematic and Charger Control pathways would co...
AI summary The document discusses the participation in Residential Demand Response (DR) programs during the 2024/25 season, noting a significant increase in participants and enrolled devices. Smart thermostats are the most common enrolled device, but not all enrolled devices participated in each event due to connectivity and availability issues.
1.3.1 Participation by Enrollment Pathway [Figure](#page-52-2) 4 below outlines participation in Residential DR for Smart Thermostat DLC by the Bring Your Own Device (BYOD) and EPI enrollment pathways. In 2025, 81% of Residential DR Smart...
AI summary In 2025, 81% of Residential DR Smart Thermostat DLC participants enrolled via Bring Your Own Device (BYOD), while 19% joined through EPI. The Evaluator estimates 40% of EPI participants with smart thermostats failed to enroll in Residential DR, citing data matching limitations. Results are indicative, not precise.
Table 9: 2025 Residential DR Evaluation Approach Evaluation Objectives Research Questions Methodology
AI summary The text introduces Table 9, which outlines the 2025 Residential Demand Response (DR) Evaluation Approach, including evaluation objectives, research questions, and methodology. It provides a framework for assessing the effectiveness of residential DR programs.
Interviews with Service Providers In November 2025, the Evaluator conducted interviews with two service providers[5](#page-54-1) involved in Residential DR to obtain their perspectives on the program component, with a focus on operational...
AI summary In November 2025, interviews with two service providers involved in Residential Demand Response (DR) were conducted to gather perspectives on program operational improvements, with the guide detailed in Appendix III.
Jurisdictional Scan and Interviews with Selected Jurisdictions In November 2025, the Evaluator performed a scan across nine jurisdictions throughout Canada and the United States (US) to identify strategies that enhance operational efficien...
AI summary The Evaluator conducted a jurisdictional scan across nine Canadian and US jurisdictions in November 2025 and interviewed two Canadian jurisdictions in December 2025 to identify strategies for scaling demand-side management programs. Findings are detailed in subsections 3.6 and 3.7. Exclusions include EPI participants who opted out or received surveys, and interviews focused on CLEAResult and Shifted Energy, with Virtual Peaker excluded due to CLEAResult's role in managing participant experience.
Note on Margins of Error For evaluation activities that yield quantitative results based on a sample, the Evaluator typically aimed to achieve a maximum margin of error of 10% at a confidence level of 90%. This means that, if measurements...
AI summary The Evaluator aimed for a 10% margin of error at 90% confidence in quantitative evaluations, emphasizing precision over accuracy. Margins of error were calculated for Residential DR capacity metrics, with examples provided in Appendix II of the 2025 DSM Programs Evaluation Executive Summary.
3 Residential DR Process Evaluation This section presents the findings from the process evaluation of Residential DR, beginning with a summary of the findings of the program documentation review conducted by the Evaluator as well as non-pa...
AI summary This section evaluates the Residential Demand Response (DR) process, summarizing documentation reviews, non-participant awareness levels, survey findings on perceived benefits/barriers, service provider perspectives, and a jurisdictional scan of nine North American residential DR programs.
3.1.1 Participant Satisfaction Survey (July 2025) E1 contracted Narrative Research to perform a customer satisfaction survey in July 2025. Narrative Research shared the survey customer satisfaction (CSAT) results with the Evaluator to enab...
AI summary E1 conducted a customer satisfaction survey for the 2025 Residential DR program, finding high satisfaction (80% on a 10-point scale), a positive NPS of 39, and insights into participant preferences and enrollment challenges.
3.1.2 Operational Review Workshop Results (April 2025) CLEAResult (the service provider for the Smart Thermostat, EV, and Battery pathways) facilitated a workshop on April 14, 2025 focused on the second DR season (2024/25). The workshop wa...
AI summary CLEAResult facilitated a workshop with E1 and NS Power to review the 2024/25 DR season, highlighting Residential DR growth, manufacturer integrations, and event operations. Action items included improving device connectivity, participant education, and DERMS data collection. The 2025/26 season will involve the Evaluator.
3.2 Recent Residential DR Program Component Changes During staff interviews, it was noted that participant eligibility criteria have been changed as the program component has evolved and, while EPI participants are now required to enroll i...
AI summary The Residential DR Program has updated participant eligibility criteria, requiring EPI participants to enroll in Residential DR upon receiving a free smart thermostat. However, the combined program manual lacks a log of these changes and current eligibility details.
3.3.1 Non-participant Recruitment To gather feedback from the non-participant perspective, the Evaluator conducted a survey among Efficient Product Installation (EPI) participants who received a smart thermostat in 2024 but who had not enr...
AI summary The Evaluator conducted a survey of Efficient Product Installation (EPI) participants who received smart thermostats but did not enroll in Residential DR. Challenges in linking EPI and Residential DR data hindered precise identification of non-participants. 66% of respondents confirmed their thermostats were not enrolled, 20% were enrolled, and 15% were unsure. The analysis focused on non-participants (n=103), excluding those who enrolled (n=25).
Awareness About Residential DR EPI program participants who had technical difficulties enrolling in or opted not to enroll in Residential DR by not installing the thermostat application or removing their thermostat, in other words non-part...
AI summary A survey of EPI program participants and non-participants assessed awareness of Residential DR. 80% of participants recognized the program after a short description, while all non-participants became aware after a detailed explanation. The findings highlight varying levels of program recognition based on description length and participant status.
Sources of Awareness Marketing emails from E1 are the most common source of program awareness among non-participants (40%). [12](#page-59-3) This is followed by approximately two in 10 (22%) who indicate they became aware of the program th...
AI summary Marketing emails from E1 are the primary source of awareness for Residential DR (40% of non-participants), followed by the E1 website (22%) and social media (16%). Other sources include installers (8%) and smart thermostat notifications (6%). A 2025 survey by Narrative Research confirmed E1 emails as the top awareness channel for Residential DR, with women more likely to recognize the program via name and description (89% vs. 78% for men).
Enrollment Challenges Non-participants cited various reasons for not continuing the Residential DR enrollment process following their participation in EPI. Three in 10 (28%) indicated that they did not recall receiving an invitation to enr...
AI summary Non-participants in Residential DR enrollment cited reasons including not receiving invitations (28%), lack of follow-up on manual invites (26%), technical difficulties (14%), and thermostat usability issues. Half of non-participants who received manual invites stated no interest, while 19% saw no benefit. Technical confusion (60% of those with enrollment issues) and eligibility concerns were also reported.
Additional Information Required to Reconsider Enrollment Non-participants also shared the additional information they would need to reconsider enrollment in Residential DR, with nine indicating that they would like more information overall...
AI summary Non-participants expressed a desire for more information to reconsider Residential DR enrollment, citing confusion and a preference for manual heating control. EPI applies a 2024 installation rate to thermostat savings for a small subset of non-users.
3.4.2 Perceived Potential Benefits Among Non-participants Non-participants cited various perceived benefits of Residential DR. Most notably, three in 10 indicate a key benefit of participating in Residential DR is contributing to reduction...
AI summary Non-participants in Residential DR cite benefits like reducing peak demand (31%), financial incentives (31%), supporting clean energy (27%), and grid reliability (21%). Only 12% see no benefits, with lower-income households (21%) more likely to feel this way than higher-income groups (8-11%).
3.4.3 Barriers to Participation Among Non-participants Non-participants also identified several general barriers to participating in Residential DR beyond the enrollment issues they encountered. [16](#page-63-2) The most common concern, ra...
AI summary Non-participants in Residential DR cited discomfort with thermostat control (25%), unclear sign-up processes (10%), and insufficient financial incentives (9%) as key barriers. Demographic factors like education, income, and gender also influenced participation rates. Figure 9 highlights these barriers among 89 non-participants without enrollment technical issues.
3.5 Service Provider Perspectives This subsection presents an analysis of service provider perspectives on Residential DR. The information presented below was gathered through two qualitative interviews with CLEAResult and Shifted Energy....
AI summary Service providers CLEAResult and Shifted Energy discuss the integration of Residential DR pathways. Initially separate (DHW Controller vs. Smart Thermostat/EV/Battery), they are now unified in customer-facing offerings but remain operationally distinct with separate service providers.
Smart Thermostat DLC, Battery Control, EV Telematic and Charger Control Pathway CLEAResult is responsible for the Smart Thermostat DLC, Battery Control, and EV Telematic and Charger Control pathway program delivery. CLEAResult reports that...
AI summary CLEAResult manages Nova Scotia's Smart Thermostat DLC and EV control programs, reporting high retention (97%) in Residential DR but noting call centre inefficiencies, device connectivity issues, and participant confusion. Privacy concerns and lack of real-time feedback during DR events are highlighted, with recommendations to adjust incentives and improve education for better engagement.
Domestic Hot Water Controller Pathway Shifted Energy (recently acquired by Resource Innovations) is the service provider and technology partner for the DHW DLC used in Residential DR. Shifted Energy provides the load control devices, train...
AI summary Shifted Energy, a provider of DHW DLC for Residential DR, reports positive participant feedback and effective connectivity solutions for rural areas. They recommend E1 prioritize equitable access and expand device enrollment per household, aligning with CLEAResult's suggestions. No negative feedback or opt-outs have been reported.
3.6 Jurisdictional Scan Results This subsection presents the results of the jurisdictional scan that involved collecting data on residential DR programs available in other North American jurisdictions. The scan was aimed at identifying str...
AI summary This subsection details a jurisdictional scan of residential demand response (DR) programs in nine North American jurisdictions, including BC Hydro, DTE Energy, and Hydro-Québec, to identify strategies for scaling programs from pilot to full implementation. The analysis focused on participation levels, program operations, and design elements like eligible devices and incentive levels.
Participant Eligibility Criteria Eligibility criteria for participation in residential DR programs are similar across jurisdictions and device types. The standard requirements include: - > Being a customer of the utility and the account ho...
AI summary Residential DR program eligibility requires utility account ownership, eligible devices, and internet access. Tenants are eligible if they meet criteria. Rebates and incentives vary, with changes planned for 2026. Jurisdictions differ on variable pricing plan enrollment, with some automatically assigning variable rates to DR participants.
Smart Thermostats [Table](#page-69-0) 12 below indicates the structures and levels offered by the scanned jurisdictions for smart thermostats.
AI summary The text references a table (Table 12) that outlines the structures and levels of smart thermostat programs across scanned jurisdictions, though no specific details or analysis are provided in the excerpt.
EVs and EV Chargers [Table](#page-70-0) 13 below indicates the structures and levels offered by the scanned jurisdictions for smart thermostats.
AI summary The document references a table outlining smart thermostat structures and levels from scanned jurisdictions, though the main focus of the section is on EVs and EV Chargers. The table's content is not detailed in the provided text.
Enrollment Incentive Only two of the five jurisdictions with a battery DR program offer an enrollment incentive, similar to E1. While the amount for E1 and BC Hydro are equal ($500 per household), PSE offers a higher incentive of $1,410 pe...
AI summary The text compares enrollment incentives for battery DR programs across jurisdictions, noting that only two out of five offer such incentives. E1 and BC Hydro provide $500 per household, while PSE offers a higher $1,410 per battery enrolled.
Table 19: Savings per Jurisdiction Program Administratora Savings Efficiency Nova Scotia Actuals 2025: 0.958 MW (target: 7.135 MW) › Smart Thermostats Electric Baseboard (EBB) Only: 112 W/device › Smart Thermostats Mini-split Heat Pump (MS...
AI summary Table 19 provides a comparison of savings achieved by various demand response (DR) programs across different jurisdictions, including Efficiency Nova Scotia, BC Hydro, DTE Energy, and others. The data highlights actual and target savings in terms of MW and W/device for various DR program components such as smart thermostats, DHW controllers, EV telematics, and batteries.
Enrollment Process One interviewed Canadian program administrator offers two paths for smart thermostats to participate in DR events: behavioural and connected. The behavioural path[32](#page-78-2) allows participants to adjust their devic...
AI summary The text outlines enrollment processes for smart thermostats in Demand Response (DR) programs, highlighting two paths (behavioral and connected) and three enrollment methods (BYOD, OEM agreements, and retail purchases). It notes that behavioral options attract more customers by avoiding external control, with 75% of enrollments completed online and 90% via BYOD.
Event Design and Operations While the first Canadian program administrator does not guarantee a minimum or maximum number of events in theory, up to 300 events could be called during the winter season, as two events per day are possible. I...
AI summary The document outlines event design and operations for demand response (DR) programs, noting up to 300 potential winter events but typical participation of 12–14 events per season. Behavioral and connected enrollment paths differ in communication methods, with the latter relying on thermostat displays. Studies show colder temperatures reduce participation, while real-time app notifications and post-event reports enhance engagement and transparency.
Future Opportunities According to one Canadian program manager, smart thermostats, being inexpensive and having energy efficiency benefits, is a promising category to develop in the next couple of years. To do so, they plan to work closely...
AI summary The document highlights opportunities to expand demand response (DR) programs through smart thermostats, emphasizing partnerships with manufacturers to streamline enrollment and address decision fatigue. Strategies include shifting from instant rebates to enrollment incentives and maximizing device installations during home visits by installers.
4 Residential DR Impact Evaluation The objective of the 2025 Residential DR impact evaluation was to determine available DR capacity.
AI summary The 2025 Residential Demand Response (DR) impact evaluation aimed to assess available DR capacity as part of Nova Scotia's regulatory proceeding. The evaluation focused on quantifying residential DR potential to inform energy management strategies and program effectiveness.
4.2 Demand Response Capacity For Residential DR, the metric is the available DR capacity that corresponds to the load reduction made available for DR events from participant homes. For each Residential DR pathway, the Evaluator established...
AI summary The section outlines the evaluation methodology for Residential Demand Response (DR) capacity, using unitary available DR capacity values multiplied by participating devices. The number of participating devices is calculated by multiplying enrolled devices by in-service rates, reflecting load reduction availability during DR events.
Table 20: Residential DR Participation Rates per 2024/25 Event DHW Controllers EV Telematics and Chargers Battery Controls Event # Event Date Number of Enrolled Devices Number of Participating Devices Participation Rate Number of Enrolled...
AI summary Table 20 shows residential demand response participation rates for various events in 2024/25, highlighting low participation in EV telematics and chargers and higher participation in battery controls. The weighted average participation rates are 22.5% for DHW controllers, 2.9% for EV telematics and chargers, and 63.2% for battery controls.
Smart Thermostats For the Smart Thermostat DLC pathway, the Evaluator applied the same methodology as in 2024. More precisely, the baseline was established using whole-house electricity consumption and a regressionbased approach that accou...
AI summary The evaluation of smart thermostats under the DLC pathway used a regression-based methodology with cleaned datasets, excluding inconsistent participants. A sample of 1,222 households was analyzed, grouped by heating systems (EBBs, MSHPs, etc.). The 2025 DSM MA document provided parameters for calculating energy savings and effective useful life values.
4.2.3 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency products has an impact on the energy consumption of other elements such as heating and cooling. For the Smart Thermostat DLC pathwa...
AI summary Interactive effects in energy efficiency programs occur when changes in one system (e.g., smart thermostats) impact others (e.g., heating). The Evaluator prioritized whole-house AMI data for smart thermostats to capture these effects but used device-level data for DHW, EV chargers, and battery controls, assuming negligible interactions due to system design and location.
Table 26: Comparison of 2025 Residential DR Tracked and Evaluated Available DR Capacities at the Generator Available DR Capacity Value Unit Realization Rate Available DR Capacity Tracked by E1 0.540 MW Evaluation Results 0.854 MW 158% The...
AI summary Table 26 compares the tracked and evaluated available demand response (DR) capacities for residential programs in 2025. The evaluated capacity is 58% higher than the tracked value, primarily due to higher unitary DR capacity values for smart thermostats.
5 Residential DR Key Findings and Recommendations As previously mentioned, the main objectives of the 2025 Residential DR evaluation were as follows: - › Collect feedback from program staff, service providers, staff from other jurisdiction...
AI summary The 2025 Residential DR evaluation highlights a comprehensive mix of eligible devices, positive E1 relationships, and streamlined integration of pathways into 'Eco Shift.' Lessons learned led to updated eligibility criteria and enrollment processes, with slower growth expected due to demand response's less tangible value proposition compared to energy efficiency programs.
2025 Res DR-Finding: Program documentation has not kept pace with program changes. The Evaluator noted that Residential DR program changes, dates of program changes. and rationales thereof are not clearly documented in one document. Additi...
AI summary The Evaluator found that Residential DR program changes, dates, and rationales are inadequately documented, with residential and BNI information blended in the manual. The recommendation includes restructuring the manual to separate residential and BNI sections, clearly documenting historical changes, and defining eligibility criteria.
2025 Res DR-Finding: Residential DR participation grew substantially during the 2024/25 DR season. In the 2024/25 DR season, Residential DR participation increased by 907% compared to 2023/24 levels, reaching 3,676 participants and 11,405...
AI summary Residential DR participation surged 907% in 2024/25, reaching 3,676 participants and 11,405 devices, but failed to meet its 7.135 MW capacity target (actual: 0.854 MW). Retention remains high (>90%), yet 40% of EPI-program recipients did not enroll in DR despite mandatory enrollment rules.
Table 37: Overall 2025 Demand Response Participation and Evaluated Results Participation Level Evaluated Results Value Unit Value Unit Residential DR Available DR Capacity 3,676 Participants 0.854 MW BNI DR Available DR Capacity 143 Partic...
AI summary Table 37 shows that the 2025 Demand Response (DR) program fell short of its targets, with both Residential DR and BNI DR not meeting planned available DR capacity. BNI DR remained the largest contributor to program available DR capacity, which totaled 6.795 MW.
Residential Demand Response Appendix I: Residential DR Non-participant Survey Questionnaire Appendix II: Residential DR Non-participant Survey Results Appendix III: Residential DR Service Provider Interview Guide Appendix IV: Residential D...
AI summary The document outlines appendices related to Nova Scotia's Residential Demand Response (RDR) initiative, including survey questionnaires, service provider interviews, tracking sheets, data analysis methodologies, regression coefficients, and 2025 recommendations for RDR program implementation and evaluation.
B. Awareness and Key Barriers B1. Are you aware of a program, called Eco Shift, offered by Efficiency Nova Scotia where you can enroll your smart thermostat(s) in the program to help reduce peak demand in Nova Scotia? [DISPLAY: When many p...
AI summary The section assesses awareness of the Eco Shift program by Efficiency Nova Scotia, which offers financial rebates for adjusting smart thermostats during peak demand. Key barriers to participation include discomfort with thermostat control, data privacy concerns, fear of cold homes, and lack of information.
[SKIP TO D1 AFTER B7 FOR ALL ANSWERS] - B8. [ASK IF B[6B6=](#page-120-0)5] You mentioned having technical difficulties when trying to enroll your smart thermostat and didn't complete the process. Can you tell us more about what happened du...
AI summary The text presents a question from a regulatory proceeding inquiring about technical difficulties encountered during smart thermostat enrollment, with response options focusing on issues like technical problems, lack of confirmation, unclear instructions, and insufficient support.
[SKIP TO C1 AFTER B8 FOR ALL ANSWERS] B9. Please select the main reason(s) why you didn't enroll in the Eco Shift program from the list below [ACCEPT MULTIPLE RESPONSES. RANDOMIZE.] [DISPLAY: As a reminder, "demand response events" are the...
AI summary The text lists reasons for non-participation in the Eco Shift demand response program, including discomfort with thermostat control, data privacy concerns, insufficient incentives, and unclear enrollment processes. Follow-up questions address enrollment barriers and thermostat removal post-installation.
Table 1: Overview of Data Collection Activity Descriptor This Instrument Instrument Type Semi-directed in-depth interview Estimated Time to Complete 60 minutes Target Audience Service Provider Expected Number of Completions n=2 Contact Lis...
AI summary This document outlines data collection activities for a program evaluation, including semi-directed in-depth interviews with service providers to assess program delivery efficiencies, challenges, and opportunities for improvement. The research focuses on operational improvements, automation, communication strategies, and participant engagement for a residential demand response program.
[ASK IF EXPERIENCE IN OTHER JURISDICTIONS SHARED IN INTRO, OTHERWISE SKIP TO SECTION E] - D1. What innovative and/or efficient processes have other jurisdictions implemented to support residential DR programs at a similar scale that could...
AI summary The proceeding seeks input on innovative residential DR program processes, resource allocation best practices, and participant engagement strategies from other jurisdictions, focusing on staffing, enrollment, incentives, and program management for the Eco Shift Program.
APPENDIX V Residential DR Smart Thermostat DLC Detailed Metering Data Analysis Methodology This appendix summarizes the methodology used by the Evaluator to establish the available DR capacity for the Smart Thermostat Direct Load Control (...
AI summary This appendix outlines the methodology for evaluating residential demand response (DR) capacity from smart thermostats using metering data. The Evaluator updated unitary DR capacity values for subgroups of space heating systems, analyzing whole-house consumption data to predict hourly load and compare expected vs. actual loads during events, prioritizing whole-house data over device-level data to account for interactive effects.
Where: - › , is the calculated baseline load in kW on a specified day of week (D) and hour of day (H) for a given temperature. - › , is the time of the week where D is from 1 to 7 (Sunday to Saturday) and H is from 00 to 24 (midnight to 11...
AI summary The text outlines a method to calculate baseline load using heating degree days (HDD) and temperature data, assigning participants to weather stations based on postal codes for accurate temperature correlation. This approach ensures localized weather data alignment for demand-side management and energy efficiency assessments.
APPENDIX VI Residential DR Smart Thermostat DLC Regression Coefficients
AI summary Appendix VI presents regression coefficients analyzing the impact of Residential Demand Response (DR) Smart Thermostat Direct Load Control (DLC) programs. The data evaluates DLC's effectiveness in managing residential energy demand through statistical modeling, relevant to program evaluation and load management strategies.
This appendix summarizes all the recommendations made by the Evaluator as part of the 2025 evaluation of Residential DR. Section Recommendations Executive Summary 2025 Res DR Recommendation 5: Investigate ways to improve EV device potentia...
AI summary This appendix outlines recommendations from the 2025 evaluation of Residential Demand Response (DR), emphasizing the need to improve participation rates in DR events by leveraging bidirectional EV chargers to use electric vehicles as batteries during events.
Table 1: Residential Measure Assessment Change Log Change Type Section Description Date Removal 2.6.3(1) Three-element Water Heaters Removed measure in Green Heat as it is no longer 2026-02-27 offered through that program component Update...
AI summary This change log outlines updates to residential measure assessments, including the removal of three-element water heaters from the Green Heat program, updates to domestic water heater load control, and the addition of new measures for residential demand response such as smart thermostats, battery control, and EV telematic and charger control.
(9) Programmable Thermostats
AI summary The section on programmable thermostats outlines considerations for their integration into energy efficiency programs, though specific details are not provided in the excerpt.
2.6.3 Demand Reduction Measures
AI summary The section titled '2.6.3 Demand Reduction Measures' introduces a subsection focusing on strategies and initiatives aimed at reducing energy demand through various programs and policies, including demand-side management, appliance retirement, and residential and business energy rebates.
Available DR Capacity The unitary available DR capacity for domestic water heater load controls is based on the metering data analysis results from the 2023 Residential Demand Response evaluation. During the 2021-2022 and 2022-2023 heating...
AI summary The available DR capacity for domestic water heater load controls is determined via metering data from E1's 2023 Residential Demand Response evaluation. Analysis of 2021-2023 heating seasons shows participating units reduced demand by 385 W on average during the first two hours of events.
(3) Smart Thermostats for Electric Heating
AI summary The document section titled 'Smart Thermostats for Electric Heating' likely discusses regulatory considerations or programs related to the deployment and impact of smart thermostats in Nova Scotia's electric heating sector.