E-1Application and Evidence
209 passages
EfficiencyOne IN THE MATTER OF The Public Utilities Act , RSNS 1989, c 380, as amended - and – IN THE MATTER OF An Application by EfficiencyOne for Approval of the 2026 DSM Extension for Demand-Side Management Activities between Efficiency...
AI summary EfficiencyOne seeks approval for the 2026 DSM Extension and amendment to the 2023-2025 Purchase Agreement with Nova Scotia Power Inc. under the Public Utilities Act. The application is filed by EfficiencyOne as the holder of the Efficiency Nova Scotia Franchise.
NOVA SCOTIA ENERGY BOARD IN THE MATTER OF The Public Utilities Act , RSNS 1989, c 380, as amended - and – IN THE MATTER OF An Application by EfficiencyOne for Approval of the 2026 DSM Extension for Demand-Side Management Activities, and fo...
AI summary EfficiencyOne seeks approval for a 2026 DSM extension and a 2023-2025 amendment to its DSM purchase agreement with Nova Scotia Power Inc., under the Public Utilities Act. The application involves Demand-Side Management activities and regulatory oversight by the Nova Scotia Energy Board.
TO: The Nova Scotia Energy Board ("Energy Board") - 1. EfficiencyOne is the holder of the Franchise issued by the Minister of the Department of Energy with an effective date of January 01, 2025, to provide demand-side management activities...
AI summary EfficiencyOne is applying to the Nova Scotia Energy Board for approval of its 2026 DSM Extension Application, which includes updated targets, a rate and bill impact analysis, and amendments to the existing DSM Agreement. The application is supported by legislative changes to the Public Utilities Act, which extend the DSM Plan and Agreement to 2026 and set a prescribed investment amount.
1. INTRODUCTION Over the last two and a half years, EfficiencyOne (E1) has been successful in implementing its 2023-2025 Demand-Side Management ("DSM") Plan. The important work entrusted to E1 pursuant to the DSM Plan has achieved measurab...
AI summary EfficiencyOne (E1) has successfully implemented its 2023-2025 Demand-Side Management (DSM) Plan, achieving significant energy and demand savings. E1 seeks Energy Board approval for a 2026 DSM extension and amendments to the DSM Purchase Agreement, aligning with new legislative changes and the Energy Board's expanded mandate focused on sustainability and emissions reduction.
1.1 2026 DSM EXTENSION SNAPSHOT E1 seeks Energy Board approval to invest the legislated $63,750,000 to achieve the following targets under the four categories that were approved through the 2023-2025 DSM Plan: a) Incremental annual net ene...
AI summary E1 requests approval to invest $63.75 million under the 2026 DSM Extension to meet revised energy efficiency targets, including cumulative annual net energy savings of 528.7 GWh and net peak demand savings of 97.7 MW. The extension also includes dedicated low-income and equity programs with specific savings targets. The total investment from 2023–2026 is expected to reach $236.8 million.
1 Table 1: 2023-2026 DSM Extension Insights Insights 2023-2025 Plan as Approved 2026 DSM Extension 2023-2026 Carbon Emissions Avoided First-Year CO₂e Savings (kt) 326 26 352 Lifetime CO 2 e Savings (kt) 1,742 134 1,877 Portfolio Summary) F...
AI summary The table presents insights on the 2023-2026 DSM Extension, including carbon emissions avoided, energy and demand savings, investment breakdowns, and cost metrics. The extension aligns with objectives of maintaining 15% to 20% investment in low-income and equity programs.
& lt;sup>b 2026 EE results closely align with the 2026 DSM Extension design objectives of an energy savings split of 40% Residential and 60% BNI programs. & lt;sup>c Excluding Enabling Strategies investment. 2026 EE investment closely alig...
AI summary The 2026 Energy Efficiency (EE) results align with the 2026 DSM Extension objectives, with a split of 40% residential and 60% BNI programs. Investment splits for EE and DR are discussed, along with cost and benefit calculations, including first-year and lifetime unit costs and net benefits based on Program Administrator Cost (PAC).
1.2 GUIDING PRINCIPLES In developing the 2026 DSM Extension, E1 followed the same guiding principles as those which informed the 2023-2025 DSM Plan development: transparency, accessibility and equity. In terms of transparency, E1 is commit...
AI summary E1's 2026 DSM Extension adheres to transparency, accessibility, and equity principles. It maintains performance targets from the 2023-2025 DSM Plan, collaborates with the DSMAG, and allocates 20.2% of investments to low-income and equity communities through specific programs. Legislative changes creating a dedicated Energy Board and a proposed Benefit Cost Analysis Framework also influence the plan.
1.3 DESIGN OBJECTIVES E1's overarching objectives in developing the 2026 DSM Extension were as follows: - a) program continuity with the 2023-2025 DSM Plan; - b) achievability of performance targets; - c) continued cost-effectiveness; and...
AI summary E1's 2026 DSM Extension objectives include program continuity, achievable targets, cost-effectiveness, and balance. It maintains 50/50 residential-BNI investment splits but reduced low-income equity investment to 15-20% (from 17-22%) due to updated census data showing fewer low-income Nova Scotians.
1.4 KEY INPUTS The key input categories that informed the 2026 DSM Extension were as follows: - a) The prescribed statutory investment level of $63,750,000; - b) The 2023-2025 DSM Plan portfolio and corresponding programs; - c) To date 202...
AI summary The 2026 DSM Extension is informed by four key inputs: a statutory investment level of $63.75M, the 2023-2025 DSM Plan portfolio, implementation results to 2023, and the 2025 forecast. Statistics Canada's 2021 census data on Nova Scotia's Low-Income Measure After Tax (LIM-AT) is also referenced.
1.6 PROGRAM CONTINUITY - Consistent with the concept of an extension to the existing Board approved DSM Plan, there are no new - programs contemplated under the 2026 DSM Extension. The three residential energy efficiency programs - categor...
AI summary The 2026 DSM Extension continues existing programs without new initiatives, maintaining residential and BNI energy efficiency categories, retiring some components like New Home Construction, and retaining demand response programs. E1 monitors and adjusts programs as needed.
1.7 EXISTING BOARD APPROVED COST-EFFECTIVENESS TEST - E1 has applied the current NSUARB-approved cost-effectiveness test to the 2026 DSM Extension as the - 2023-2025 DSM Plan the Total Resource Cost (TRC). This test compares inputs (costs...
AI summary The NSUARB-approved Total Resource Cost (TRC) test was applied to the 2026 DSM Extension, yielding a cost-effectiveness ratio of 1.6, exceeding the 1.0 threshold under the Public Utilities Act (PUA). E1 plans to propose a new benefit-cost analysis framework for the 2027-2031 DSM Plan to the Energy Board in Q2 2025.
1.8 DSMAG ENGAGEMENT - The DSMAG consultation timeline in relation to the 2026 DSM Extension has been condensed as a result - of the legislation being first introduced in February 2025 and brought into force March 26, 2025. Despite - this...
AI summary The DSMAG consultation timeline for the 2026 DSM Extension was condensed due to the Public Utilities Act (PUA) being introduced in February 2025 and enacted in March 2025. E1 engaged DSMAG through meetings in March/April 2025 and a technical briefing on April 22, 2025, and plans continued engagement during the application process.
2. BACKGROUND TO 2026 DSM EXTENSION
AI summary The section outlines the background for extending Demand-Side Management (DSM) programs to 2026, involving regulatory considerations by the Nova Scotia Utility and Review Board (NSUARB) under the Public Utilities Act (PUA).
2.3 ECONOMIC UNCERTAINTY A context-setting exercise in the current era would not be complete without noting the significant economic uncertainty that has arisen due to America's ever-evolving trade policies. The United States (US) tariffs...
AI summary Economic uncertainty from US tariffs on Canada, combined with lingering supply chain and labor market issues post-pandemic, may impact Nova Scotia's E1 programs and DSM costs. E1 acknowledges potential effects but has not adjusted 2026 targets due to policy unpredictability.
2.4 APPLICATION FOR NEW COST-EFFECTIVENESS TEST E1 is always seeking to maximize value for ratepayers in its DSM planning. As a vital input for DSM planning, how this value is measured is of critical importance. In Q2 of 2025, E1 will be f...
AI summary E1 seeks approval for a new benefit-cost analysis test to enhance DSM planning, ensuring value for ratepayers. The test, to be filed in Q2 2025 with the Energy Board, will inform future DSM activities and the 2027-2031 DSM Plan. Timely resolution is emphasized for logistical planning benefits.
2.5 ENGAGEMENT ON 2027-2031 DSM PLAN E1 intends to utilize the intervening time between now and the anticipated 2027-2031 DSM Plan filing in Q1 2026 by continuing the engagement process with the DSMAG on E1's first five-year DSM Plan which...
AI summary E1 plans to continue engaging with the DSMAG on the 2027-2031 DSM Plan, accelerating consultations in Q3/Q4 2025 and aiming to file the plan in Q1 2026. The process is already underway as of the filing date.
3. MODELLING FOR 2026 DSM EXTENSION
AI summary This section discusses the modelling for the 2026 extension of Demand-Side Management (DSM) programs in Nova Scotia. Key entities involved include the Nova Scotia Utility and Review Board (NSUARB) and the DSM Cost Recovery Rider (DCRR). The analysis involves regulatory considerations under the Public Utilities Act (PUA) and collaboration with the Independent Energy System Operator (IESO).
3.1 OVERVIEW In support of the 2026 DSM Extension Application, E1 has conducted a fulsome modelling process. An overarching objective of E1 in its modelling process for the 2026 DSM Extension was to adopt learnings drawn from the actual re...
AI summary E1's 2026 DSM Extension Application uses 2023-2025 data and 2025 forecasts to inform targets, noting no alternate scenarios were modelled. The NSUARB required alternative scenarios in past applications, with future submissions needing DSM budget scenarios and NSPI rate impact analysis.
[emphasis added ] E1 supports this requirement as an important part of DSM planning and has adhered to it for each subsequent DSM Plan application. However, in this extension application, the investment amount is statutorily mandated. As s...
AI summary E1 supports DSM planning requirements but argues the Board directive is inapplicable to the 2026 DSM Extension application due to statutorily mandated investment amounts. E1 plans to develop an alternative scenario for the 2027-2031 DSM Plan through stakeholder consultation. A 2016-2018 DSM Plan decision (M06733) is referenced.
3.2 UPDATES TO AVOIDED COST CALCULATION In its decision approving the 2023-2025 DSM Plan, the NSUARB (as it then was) made note of the fact that updates to NS Power Integrated Resource Planning process will have an impact on the avoided co...
AI summary The NSUARB directed E1 to update avoided cost calculations for DSM plans using the latest IRP data, noting climate goals are not fully addressed in current IRP versions. E1 incorporated 2022 IRP results, embedding carbon costs into energy avoided costs for the 2026 DSM Extension. The DSMAG will address climate-related updates for future plans, while the More Access to Energy Act mandates IESO's IRP process.
8 3.3 MODEL INPUTS AND ASSUMPTIONS - 9 In collaboration with its consultant Guidehouse, E1 developed a set of inputs to use in the modelling - 10 process for the 2026 DSM Extension for both the Energy Efficiency Model and the Demand Respon...
AI summary E1, in collaboration with Guidehouse, developed model inputs for the 2026 DSM Extension, including line losses, avoided costs, discount rates, annual energy savings, peak demand savings, incremental costs, and incentives for both the Energy Efficiency and Demand Response Models.
16 4. 2026 DSM PROGRAMS
AI summary The document outlines the 2026 Demand-Side Management (DSM) Programs under regulatory review by the Nova Scotia Utility and Review Board (NSUARB). Key entities include the DSM Cost Recovery Rider (DCRR) and the Public Utilities Act (PUA), with involvement from the Independent Energy System Operator (IESO) and the Integrated Resource Plan (IRP).
22 Table 3: Program Modifications and Retirements in the 2026 DSM Extension Program Program Component Changes and Enhancements in the 2026 DSM Extension as compared to the 2023-2025 Plan Continued/Modified/ Retired Residential Energy Effic...
AI summary The 2026 DSM Extension includes the retirement of the Appliance Retirement program, which was ended on January 8, 2025. This decision was influenced by rising delivery costs, declining savings from retiring newer and more efficient units, and a lack of service providers in Canada.
- 3 In the demand-side management sector, it is typical for the simpler and lower cost energy efficiency - 4 opportunities to be undertaken first. These opportunities often require less investment, and are easier to - 5 implement, which ma...
AI summary The text discusses the progression of demand-side management (DSM) programs, emphasizing that simpler, lower-cost energy efficiency measures are typically implemented first. As these measures are exhausted, more complex and expensive projects become a larger part of the DSM portfolio, leading to higher unit costs. This progression explains the multi-year planning approach and cumulative performance targets in DSM plans, such as the 2023-2025 DSM Plan, which showed overachievement in certain components.
l results from years 2023 and 2024 demonstrate overachievement. Of particular note were the overachievement levels under E1's residential Home Energy Assessment and Instant Savings program components. E1 has closely reviewed the actual res...
AI summary E1's 2023 and 2024 results show overachievement in residential programs like Home Energy Assessment and Instant Savings. However, 2025 and 2026 are expected to see lower energy savings due to factors such as the exhaustion of the Canada Greener Homes grant and reduced demand response adoption.
8 Table 4: Program Component Comparison of 2025 Forecast and 2026 DSM Extension Year Program Component Comparison of 2025 Forecast and 2026 DSM Extension Year Instant Savings • Further reduction in energy savings and increase in unit cost...
AI summary The document compares energy savings and costs for various program components between the 2025 forecast and the 2026 DSM extension year. Key factors include the removal of LED lighting, changes in provincial rebates, budget constraints, and program restructuring.
4.3 PROGRAMS AND INVESTMENT FOR THE 2026 DSM EXTENSION - [Table 5,](#page-28-0) below, summarizes the programs and corresponding investment amounts for the 2026 DSM - Extension. DATE FILED: April 30, 2025 Page 22 of 25 13 14 15 16 17 18
AI summary Section 4.3 outlines programs and investment amounts for the 2026 DSM extension, referencing Table 5. The document is part of a regulatory proceeding involving Nova Scotia's utility sector, focusing on demand-side management initiatives and associated financial commitments.
1 Table 5: 2026 Program Savings and Investment First Voor Lifetime Dool: FF Total Program a Lifetime First Year Energy Energy Peak EE Demand Available Resource Administrator 2026 Investment a ($ million) Benefits b Savings Savings Savings...
AI summary Table 5 provides a detailed breakdown of 2026 program savings and investment for residential and business energy efficiency programs, demand response initiatives, and enabling strategies in Nova Scotia. It outlines investments, benefits, and cost tests for various energy efficiency and demand response programs.
5. ONGOING COMPLIANCE WITH BOARD DIRECTIVES As always, E1 remains committed to complying with all Board directives. - Several directives from the 2023-2025 DSM Plan Decision relate to, and contemplate, the next complete - DSM Plan filing (...
AI summary E1 commits to complying with Board directives from the 2023-2025 DSM Plan Decision, proposing that certain directives be addressed in the 2027-2031 DSM Plan application, including providing individual justification for cost-ineffective measures and including payback information. Other directives are already being incorporated.
6. EVALUATION AND REPORTING E1 intends to follow the current Board approved measurement and evaluation activities as established in the 2023-2025 Plan. This includes an annual impact evaluation for each program. - Similarly, throughout the...
AI summary E1 will follow the Board-approved measurement and evaluation activities from the 2023-2025 Plan, including annual impact evaluations and specific reporting for the 2026 DSM Extension. References to M10473 and compliance filings are cited.
7. CONCLUSION - The 2026 DSM Extension Application is a filing brought about through recently enacted legislative - amendments to the Public Utilities Act which; - (1) extends the demand-side management purchase agreement approved by the B...
AI summary The 2026 DSM Extension Application seeks to extend the existing DSM Plan until 2026 under new PUA amendments, proposing energy and demand savings targets. The extension aligns with legislative intent, maintains program continuity, and meets cost-effectiveness criteria with a TRC of 1.6. E1 requests Board approval for the extension.
1. INTRODUCTION On March 26, 2025, the Nova Scotia government passed legislation to extend EfficiencyOne's (E1) current approved 2023-2025 DSM Plan by an additional year with a prescribed investment level of $63,750,000 for the 2026 one-ye...
AI summary The Nova Scotia government passed legislation extending E1's 2023-2025 DSM Plan by one year to 2026 with a prescribed investment of $63.75 million. The extension includes targets for energy savings, demand savings, and demand response capacity, and requires E1 to submit these targets for approval. The 2026 DSM Extension passes the Total Resource Cost test for cost effectiveness.
2. 2026 DSM EXTENSION DEVELOPMENT APPROACH - E1 developed the 2026 DSM Extension for the supply of demand-side management activities to NS Power - in accordance with the provincial legislation that extends the approved 2023-2025 DSM Resour...
AI summary E1 developed the 2026 DSM Extension to continue demand-side management activities for NS Power, in accordance with provincial legislation that extends the 2023-2025 DSM Resource Plan. The extension aims to maintain program continuity, achieve cost-effective savings within a legislated investment level, and ensure consistency for service delivery partners.
2.1 LEGISLATIVE AMENDMENTS TO THE PUBLIC UTILITIES ACT - The Nova Scotia government enacted legislation on March 26, 2025 extending E1's current 2023-2025 - DSM Plan by one year.[6](#page-38-2) For greater clarity, Bill 6, amended Chapter...
AI summary Nova Scotia extended E1's DSM Plan until 2026 via Bill 6 amending the PUA, adding Section 79J. The extension includes a $63.75M payment, requiring E1 to submit targets by 2026 and file a new five-year agreement by 2027.
2.2 2023-2025 DSM RESOURCE PLAN - E1 developed the 2023-2025 Plan based on a full resource modelling approach with a comprehensive - stakeholder engagement process. On November 8, 2022, the Nova Scotia Utility and Review Board - (NSUARB) a...
AI summary E1's 2023-2025 DSM Resource Plan, approved by NSUARB with $173M investment, includes performance targets and programs. The plan covers energy efficiency and demand response initiatives, with progress made in 2023-2024.
2.2.1 2023 AND 2024 PLAN RESULTS Table 1, below, provides E1's evaluated results for 2023 and 2024 as compared to the approved 2023-2025 Plan. E1's 2023 and 2024 annual impact evaluations provide up-to-date impacts on the net electrical en...
AI summary This section presents the 2023 and 2024 plan results, comparing E1's evaluated outcomes to the approved 2023-2025 Plan. It highlights progress indicators such as net electrical energy and net system peak-demand savings, as well as available capacity, to assess performance against the approved targets.
15 Table 1: Approved 2023-2025 Plan and 2023 and 2024 Results 2023-2025 Year Investment ($ million) Lifetime Benefits ($ million) a First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Available Capacity (...
AI summary The table presents the approved 2023-2025 Demand-Side Management (DSM) Plan and its results for 2023 and 2024. It includes metrics such as investment, lifetime benefits, energy savings, peak demand savings, and progress percentages. The data shows the performance of the plan over the years and highlights the achievements in energy efficiency and demand response initiatives.
2.3 2025 PLAN FORECAST - In the final year of the 2023-2025 DSM Plan, E1's 2025 forecast projects an achievement of 128.7 GWh of - energy savings, 17.2 MW of peak demand savings, 10.0 MW of available capacity, within an investment - level...
AI summary E1's 2025 forecast for the 2023-2025 DSM Plan projects achieving 128.7 GWh of energy savings, 17.2 MW of peak demand savings, and 10.0 MW of available capacity with an investment of $62.0 million. The focus remains on delivering DSM programs and activities aligned with the approved 2023-2025 DSM Resource Plan.
2.4 2026 DSM EXTENSION PORTFOLIO ASSUMPTIONS & DESIGN OBJECTIVES - In developing 2026 as an extension of the current 2023-2025 Plan, E1 also relied on the design objectives - and portfolio assumptions from the 2023-2025 Plan. - 2.4.1 GUID...
AI summary The 2026 DSM Extension Plan builds on the 2023-2025 Plan, maintaining guiding principles like transparency and equity. E1 adjusted low-income investment targets from 17-22% to 15-20% based on updated 2021 census data showing lower low-income prevalence in Nova Scotia. Investment and energy savings splits remain 50% residential and 50% BNI programs.
2.5 MODELLING APPROACH - For the 2026 DSM Extension, E1 utilized the same modelling process and software tools as in the approved - 2023-2025 Plan. Modelling supports quantitative development by providing the following: - detailed cost eff...
AI summary E1 used the same modelling approach and software tools as in the approved 2023-2025 Plan for the 2026 DSM Extension. The modelling supports quantitative analysis through cost-effectiveness impacts, energy/demand impacts, DSM participation estimations, and investment projections.
2.5.1 EN ERGY EFFICIEN CY M OD EL - Following the same approach as in the approved 2023-2025 Plan, E1 engaged Guidehouse, to provide its - ProCESS™ short-term DSM planning tool for modelling the 2026 energy efficiency portfolio. - E1 and G...
AI summary E1 engaged Guidehouse to use its ProCESS™ tool for modeling the 2026 energy efficiency portfolio, building on the 2023-2025 Plan. Input data included line loss factors, avoided costs, and modified 2023 evaluation reports. Guidehouse developed and ran the model using technical measure data.
1 2.5.2 D EM AN D RESPON SE M OD EL - 2 As with the energy efficiency model, E1 worked with Guidehouse to complete demand response modelling - 3 using Guidehouse's DRSim™ model. This modelling approach was consistent with the approach used...
AI summary E1 collaborated with Guidehouse to develop a demand response model using DRSim™, aligning with their 2023-2025 DSM Plan. The model uses bottom-up analysis with primary and secondary data, segmenting customers, defining DR options, and estimating cost-effectiveness.
20 Table 2: Key Global Model Input & Assumptions in 2026 DSM Extension Development Item Description of Key Global Model Inputs & Assumptions EE DR • Avoided costs of both energy and capacity were based on NS Power's Evergreen Integrated Re...
AI summary The document outlines key global model inputs and assumptions for the 2026 DSM Extension Development, including avoided costs based on NS Power's Evergreen Integrated Resource Plan and provided to the DSM Advisory Group. Transmission and distribution avoided costs are also detailed, with DR assumed to have no energy impacts.
2.5.5 D SM AG EN GAGEMEN T The DSMAG is a forum to provide strategic or directional advice on current or emerging DSM issues including development of future DSM applications and plans. In developing the 2026 DSM Extension, E1 engaged the D...
AI summary The DSMAG provided strategic advice on DSM issues, engaging stakeholders for the 2026 DSM Extension. Engagement was limited due to February 2025 legislative amendments requiring a one-year extension to the 2023-2025 Plan. E1 led a comprehensive process for the 2026-2030 Plan, including stakeholder feedback and BCA development, with continued engagement planned for the 2027-2031 Plan.
7 Table 3: 2023-2026 DSM Extension Portfolio Level Insights Insights 2023-2025 Plan as Approved 2026 DSM Extension 2023-2026 Carbon Emissions Avoided First-Year CO₂e Savings (kt) 326 26 352 Lifetime CO₂e Savings (kt) 1,742 134 1,877 Portfo...
AI summary Table 3 provides insights into the 2023-2026 DSM Extension Portfolio, including carbon emissions avoided, energy and demand savings, investment breakdowns, and cost and benefit analyses. It highlights the split of investments between residential and BNI programs and the net benefits of energy efficiency and demand response initiatives.
3.1 PORTFOLIO SAVINGS & INVESTMENT 8 In 2026, E1 will invest $63.75 million (in nominal dollars) to achieve 116.0 GWh of incremental annual net energy savings, 18.9 MW of incremental annual net peak demand savings for energy efficiency, an...
AI summary In 2026, E1 plans to invest $63.75 million to achieve energy savings, peak demand savings, and available capacity through energy efficiency and demand response initiatives. The investment aligns with the 2026 DSM Extension and the approved 2023-2025 Plan.
Table 4: 2026 DSM Extension Portfolio Savings & Investment Year Investment a ($ million) Lifetime Benefits b ($ million) First- Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak EE Demand Savings (MW) Available Capacity (MW) Low...
AI summary Table 4 outlines the 2026 DSM Extension Portfolio Savings & Investment, showing investment amounts, energy savings, and other metrics for various years, including 2023-2025 and 2026. It includes metrics such as lifetime benefits, energy savings, and the Total Resource Cost Test (TRC).
3.3 DSM EXPENDITURES BY EXPENSE CATEGORY The legislated investment amount, $63.75 million represents a 2% increase over the approved 2025 investment of $62.5 million. Figure 1, below, provides 2026 DSM Extension expenditures by expense cat...
AI summary The 2026 DSM Extension sees a 2% increase in legislated investment to $63.75 million. Customer incentives remain the largest expense category at $41.9 million, contributing to energy savings and demand response capacity. Salary and training expenditures are influenced by a 3.23% increase recommended by a compensation consultant.
3.4 PROGRAMS SAVINGS, INVESTMENT & PARTICIPATION - Programs for the 2026 DSM Extension remain largely the same as the approved 2023-2025 Plan, with - some changes and enhancements noted below[. Table 5](#page-56-0) provides investment budg...
AI summary The 2026 DSM Extension programs largely mirror the approved 2023-2025 Plan with some updates. Table 5 details investment budgets and savings targets by program component, focusing on demand-side management and efficiency initiatives.
1 Table 5: Program Savings & Investment 2026 DSM Extension 2026 Investment a ($ million) Lifetime Benefits b ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings c (GWh) Peak EE Demand Savings (MW) Available Capacity (MW) To...
AI summary Table 5 outlines the 2026 DSM Extension program savings and investment, including residential and business energy efficiency programs, enabling strategies, and demand response initiatives. It details investment amounts, lifetime benefits, energy savings, and other metrics for various programs.
5 Table 6: Program Changes and Enhancements in the 2026 DSM Extension Program Program Component Changes and Enhancements in the 2026 DSM Extension as compared to the 2023-2025 Plan Residential Energy Efficiency Appliance Retirement • E1 en...
AI summary The 2026 DSM Extension introduces changes to residential energy efficiency programs, including the discontinuation of the Appliance Retirement program, a shift to year-round rebates for efficient products, and the alignment of affordable housing programs with new appliance retirement policies.
- 3 Cost-effectiveness results are provided for two cost effectiveness tests the Total Resource Cost (TRC), - 4 Program Administrator Cost (PAC). The TRC test compares the costs incurred to design and deliver - 5 programs and customers' co...
AI summary The document discusses cost-effectiveness tests used in Nova Scotia, including the Total Resource Cost (TRC) and Program Administrator Cost (PAC) tests. E1 plans to develop a new jurisdiction-specific BCA test for the 2027-2031 DSM Plan, following directives from the NSUARB and collaboration with the DSM Advisory Group.
age-59-2) - Throughout 2023 and 2024, E1 worked with the DSMAG to develop a new Nova Scotia specific - (jurisdictional-specific) BCA test with the support of a third-party expert Energy Futures Group. - Cost-effectiveness results for the 2...
AI summary E1 collaborated with the DSMAG and Energy Futures Group to develop a jurisdiction-specific BCA test for Nova Scotia. The 2026 DSM Extension cost-effectiveness results are detailed in Table 7, including portfolio-level and program-specific results. References include the amended Public Utilities Act and NSUARB Orders related to DSM Plans.
1 Table 7: 2026 DSM Extension Cost Effectiveness Results Programs Total Resource Cost (TRC) Test a 2026 Program Administrator Cost (PAC) Test b 2026 Residential Energy Efficiency (EE) Programs Efficient Product Rebates 1.0 2.0 Instant Savi...
AI summary Table 7 presents the 2026 cost effectiveness results for the DSM extension, including both the Total Resource Cost (TRC) and Program Administrator Cost (PAC) tests for various energy efficiency and demand response programs in Nova Scotia. The results vary across residential, business, and institutional programs.
3.6 RATE CLASS ALLOCATIONS Rate class expenditures for the 2026 DSM Extension are provided in [Table 8,](#page-62-0) below. Rate class spending for 2026 is largely consistent with E1's 2025 forecast by rate class.[25](#page-61-1) E1's 2026...
AI summary The 2026 DSM Extension rate class expenditures align with E1's 2025 forecast, using 2022–2024 data. A cross-reference to M12186 (E1's 2024 Annual Progress Report) is cited for detailed rate class results.
Table 8: 2026 DSM Extension Rate Class Expenditures Rate Class 2026 ($ million) Residential/Charitable (2,3,4) 33.9 Small General (10) 3.1 General Demand (11) 17.0 Large General (12) 1.6 Small Industrial (21) 1.4 Medium Industrial (22) 2.4...
AI summary Table 8 outlines the 2026 DSM Extension Rate Class Expenditures, showing the distribution of costs across various rate classes, including investments in Energy Efficiency (EE) and Demand Response (DR) programs, as well as Enabling Strategies.
3.7 LOW-INCOME AND EQUITY - In developing the 2026 DSM Extension, E1 maintained its commitment to supporting low-income and - equity communities. The 2026 DSM Extension allocates 20% of its total investment to these communities, - consiste...
AI summary E1's 2026 DSM Extension allocates 20% of total investment to low-income and equity communities, aligning with prior 21% investment levels. Dedicated programs include Affordable Multi-Family Housing, Affordable Single-Family Homes, and the Mi'kmaw Home Energy Efficiency Project. E1 also considers incidental impacts from non-targeted programs and updated assumptions on low-income impacts, detailed in Attachment 2.
4. 2026 DSM PROGRAMS - The 2026 DSM Extension establishes the programs and components for delivery of the 2026 portfolio. The - 2026 portfolio consists of Residential and BNI energy efficiency programs, and a demand response - program.
AI summary The 2026 DSM Extension outlines programs for the 2026 portfolio, including Residential and BNI energy efficiency initiatives, and a demand response program. These components aim to deliver the DSM program's objectives through targeted efficiency and demand management strategies.
4.1 2026 MARKETING - Marketing plans and strategies are essential to DSM Plan implementation. Marketing efforts drive - customer participation in programs and support the communication and implementation aspects of DSM - Plan delivery. 202...
AI summary E1's 2026 DSM marketing strategy emphasizes omnichannel, data-driven approaches to boost customer participation. Tactics include personalized messaging, geo-targeting, and A/B testing, leveraging AMI and segmentation data. Strategies aim to enhance engagement through consistent branding and tailored campaigns for residential and BNI sectors.
5. ENERGY EFFICIENCY The 2026 DSM Extension continues to deliver cost-effective energy savings benefits for Nova Scotia's residential and BNI customers. In the program sections that follow, E1 has highlighted changes, modifications or enha...
AI summary The 2026 DSM Extension continues to deliver cost-effective energy savings for residential and BNI customers, with E1 highlighting changes compared to the 2023-2025 Plan.
RESID EN TIAL ENERGY EFFICIEN CY PROGRAM S
AI summary The document outlines residential energy efficiency programs under Nova Scotia's regulatory framework, involving entities like NSUARB and NSP. It references DSM, DCRR, and related acronyms for cost recovery and benefit analysis, with legislative context from the PUA.
5.1 RESIDENTIAL EFFICIENT PRODUCT REBATES The Residential Efficient Product Rebates program offers residential customers financial incentives for consumer products through retail channels. In the 2023-2025 DSM Plan, the program included tw...
AI summary The Residential Efficient Product Rebates program, part of the DSM Plan, initially had two components: Instant Savings and Appliance Retirement. E1 terminated Appliance Retirement in 2025 due to rising costs and declining savings, leaving only Instant Savings in the 2026 DSM Extension.
5 5.1.1 IN STANT SAVIN GS - 6 Instant Savings offers year-round, point-of-sale rebates to retail customers who purchase eligible energy - 7 efficient products. [Table 9](#page-65-1) provides a summary of the Instant Savings program compone...
AI summary The Instant Savings program provides year-round, point-of-sale rebates to retail customers purchasing eligible energy-efficient products. Table 9 summarizes the program's component for the 2026 DSM Extension.
10 Table 9: 2026 Summary of the Instant Savings Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (products) 2026 Total 2.5 4.8 0.5 33,682 Program Component Changes • an LED baseline in 2025...
AI summary The 2026 Instant Savings Program Component under the DSM Extension offers year-round rebates on qualifying energy-efficient products, including ENERGY STAR® certified appliances and smart thermostats. The program transitioned from seasonal campaigns in 2025, with changes in eligible products such as the removal of certain LED bulbs and the inclusion of motion sensor fixtures.
4 5.2 EXISTING RESIDENTIAL - 5 The Existing Residential program provides residential customers with access to information, technical - 6 support, and financial assistance to identify, assess and implement energy efficiency behaviours and -...
AI summary The Existing Residential program, part of the 2023-2025 Plan, will transition from seven to six components by 2026, removing Green Heat due to declining participation. The 2026 DSM Extension includes six components, such as Home Energy Assessments and Mi'kmaw initiatives, while E1 cites reduced savings as the reason for ending Green Heat.
11 Table 10: 2026 Summary of Affordable Multi-Family Housing & Non-Profit Organizations Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (projects) 2026 Total 1.8 1.0 0.5 88 Program Compone...
AI summary The 2026 Affordable Multi-Family Housing & Non-Profit Organizations Program Component is extended as outlined in the approved 2023-2025 Plan. It includes marketing strategies targeting affordable housing building owners, property managers, and non-profit organizations. The program focuses on energy efficiency and is a 100% low-income and equity initiative.
17 5.2.2 AFFORD ABLE SIN GLE -FAM ILY HOM ES - 18 Affordable Single-Family Homes, marketed as HomeWarming, provides a fully project managed, whole- - home retrofit service at no-cost to income-qualified Nova Scotians.[30](#page-67-3) 19 Up...
AI summary The Affordable Single-Family Homes program, known as HomeWarming, offers no-cost whole-home retrofits for income-qualified Nova Scotians. It includes energy assessments, building upgrades, heating improvements, and ventilation. Funding comes from provincial, federal, and DSM sources depending on the type of home.
5 Table 11: 2026 Summary of Affordable Single-Family Homes Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (homes) 2026 Total 7.7 2.7 1.4 800 • • DSM Extension as outlined in the approved...
AI summary Table 11 outlines the 2026 Affordable Single-Family Homes Program Component, including a budget of $7.7M, energy savings of 2.7 GWh, and 800 participating homes. Key changes include the removal of appliance replacement offerings, enhancements in service delivery, and the use of automated customer journey emails to improve satisfaction.
10 5.2.3 EFFICIENT PROD UCT IN STALLATION Efficient Product Installation conducts energy efficient upgrades for homeowners and renters, at no-cost. During a home visit, qualified installers provide free installation of energy efficient pro...
AI summary Efficient Product Installation offers free energy upgrades, including smart devices and efficiency measures, to homeowners and renters. Customers are auto-enrolled in Eco Shift (E1's Demand Response program), enhancing capacity and promoting energy savings through direct engagement and education during home visits.
4 Table 12: 2026 Summary of Efficient Product Installation Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (products) 2026 Total 5.3 10.5 0.6 49,338
AI summary Table 12 summarizes the 2026 Efficient Product Installation Program Component, showing a total investment of $5.3 million, energy savings of 10.5 GWh, demand savings of 0.6 MW, and participation of 49,338 products.
4 5.2.4 HOM E ENERGY ASSESSM EN T Home Energy Assessment helps homeowners make informed choices about energy efficient and deep savings upgrades to their homes. Home energy assessments performed by Natural Resources Canada (NRCan) register...
AI summary The Home Energy Assessment program assists homeowners in identifying energy-efficient upgrades through assessments conducted by registered Energy Advisors. The program includes rebates to help overcome financial barriers to implementing retrofits, as outlined in Table 13 for the 2026 DSM Extension.
16 Table 13: 2026 Summary of Home Energy Assessment Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (homes) 2026 Total 5.0 3.8 1.7 1,900 Program Component Changes • • upgrade recommendatio...
AI summary The 2026 Home Energy Assessment Program Component includes a total investment of $5M, aiming for 3.8 GWh of energy savings and 1.7 MW of demand savings across 1,900 homes. The program will streamline its approach, end the Green Heat component, and include remote assessments and omnichannel marketing.
11 Table 14: 2026 Summary of Mi'kmaw Home Energy Efficiency Project Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (homes) 2026 Total 1.1 0.4 0.2 180 Program Component Changes • • • impac...
AI summary The Mi'kmaw Home Energy Efficiency Project is being extended in 2026 with a total investment of $1.1 million, aiming to achieve 0.4 GWh in energy savings and 0.2 MW in demand savings across 180 homes. Appliance replacements are no longer offered, aligning with the Appliance Retirement program changes. Eligibility has been expanded to include Mi'kmaw homeowners in 2024, and marketing efforts include educational materials and community engagement.
17 5.2.6 RESID EN TIAL BEHAVIOUR Residential Behaviour encourages Nova Scotians to adopt more energy-conscious behaviours and activities, leading to electricity savings and reduced utility bills. Through personalized and timely energy- use...
AI summary The Residential Behaviour program, marketed as Efficiency Insights, aims to encourage Nova Scotians to adopt energy-conscious behaviors through personalized energy-use feedback and analysis. It provides tools to help customers make informed energy consumption choices and direct them to existing E1 programs and services.
5 Table 15: 2026 Summary of Residential Behaviour Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (homes) 2026 Total 2.1 17.0 0 205,000 Program Component Changes • • o • outlined in the ap...
AI summary Table 15 outlines the 2026 summary of the Residential Behaviour Program Component, showing total investment of $2.1M, energy savings of 17.0 GWh, and 205,000 participating homes. The program includes enhancements to the 2026 DSM Extension, such as personalization of Home Energy Reports and development of a content library for marketing.
10 BN I EN ERGY EFFICIEN CY PROGRAM S
AI summary The document discusses Nova Scotia's Energy Efficiency Programs under the NSUARB's regulatory proceeding. It references DSM, DCRR, and related initiatives, involving NSP, IESO, and NRCan. Key themes include program evaluation, cost recovery, and regulatory oversight.
11 5.3 EFFICIENT PRODUCT REBATES - 12 The Efficient Product Rebates program provides BNI customers with financial incentives, in the form of - 13 prescriptive rebates or financing for the installation of energy efficient and system-peak de...
AI summary The Efficient Product Rebates program offers BNI customers financial incentives for installing energy-efficient and demand-reducing equipment. It targets non-profit, commercial, industrial, and institutional customers, with a focus on predictable savings. The program includes a single component: Business Energy Rebates.
18 5.3.1 BUSIN ESS EN ERGY REBATES - 19 The Business Energy Rebates program component offers two pathways: Instant Rebates and Application - Rebates. For Instant Rebates, customers have access to prescriptive rebates[31](#page-72-4) 20 on...
AI summary The Business Energy Rebates program offers two rebate pathways: Instant Rebates, which provide prescriptive rebates at the point of purchase through participating distributors, and Application Rebates, which allow for adjustments based on specific facility conditions and require project applications to E1. The program aims to encourage energy efficiency by offering rebates on a range of equipment.
10 Table 16: 2026 Summary of Business Energy Rebates Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (products) 2026 Total 8.1 31.9 5.2 159,941 Program Component Changes • Business Energy...
AI summary Table 16 summarizes the 2026 Business Energy Rebates Program Component, including investment, energy and demand savings, and participation numbers. The 2026 DSM Extension will follow the same approach as the approved 2023-2025 Plan, with marketing strategies including omnichannel campaigns, paid media, in-store promotion, and outreach to contractors and trade professionals.
15 5.4 CUSTOM INCENTIVES - 16 The Custom Incentives program provides financial incentives and technical assistance to help non-profit, 17 institutional, commercial, and industrial customers reduce their electrical energy consumption and 18...
AI summary The Custom Incentives program offers tailored financial and technical support to non-profit, institutional, commercial, and industrial customers to reduce energy consumption and peak demand. It includes two components: Custom and Strategic Energy Management (SEM), with E1 collaborating directly on projects not covered by other programs.
1 5.4.1 CUSTOM 6 8 11 - 2 Custom provides large business, non-profit and institutional participants with technical assistance and - 3 financial incentives to help reduce electricity consumption and demand and includes four services: - 4 Re...
AI summary The Custom program, part of Nova Scotia Power's Demand-Side Management (DSM) initiative, offers technical assistance and financial incentives to large businesses, non-profits, and institutions to reduce electricity consumption. It includes four services: Retrofit, Building Optimization, Pay-for-Performance, and New Construction. Table 17 summarizes the program's components for the 2026 DSM Extension.
7 Table 17: 2026 Summary of Custom Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (projects) 2026 Total 9.8 34.0 7.0 172 Program Component Changes • approved 2023-2025 Plan. • Efficiency...
AI summary Table 17 outlines the 2026 DSM Extension with $9.8M investment, 34GWh energy savings, 7MW demand savings, and 172 participating projects. The 2023-2025 Plan was approved, and the 2026 strategy includes targeted marketing, AMI data use, and engagement with professionals. Attachment 3 provides detailed measure-level data.
12 5.4.2 STRATEGIC EN ERGY M AN AGEM EN T Strategic Energy Management focuses on operational and procedural changes companies can make to reduce their energy usage. The goal of Strategic Energy Management is to help develop an energy manag...
AI summary Strategic Energy Management aims to reduce energy usage through operational and procedural changes, focusing on long-term energy performance and continuous savings. Participants collaborate with service providers to identify opportunities and implement a 12-month action plan. Table 18 summarizes the program component for the 2026 DSM Extension.
1 Table 18: 2026 Summary of Strategic Energy Management Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (participants) 2026 Total 0.9 4.0 0.4 11 Program Component Changes • • tool to Strat...
AI summary Table 18 outlines the 2026 Summary of Strategic Energy Management Program Component, including investment, energy savings, demand savings, and participation numbers. The program will follow the same approach as the approved 2023-2025 Plan and includes marketing strategies such as business development engagement and industry events.
11 5.5.1 SM ALL BUSIN ESS ENERGY SOLUTION S - 12 Small Business Energy Solutions provides small business customers with access to technical assistance and - 13 financial incentives for the installation of energy efficient equipment. A smal...
AI summary The Small Business Energy Solutions program offers technical assistance and financial incentives for energy-efficient equipment installation, including a pilot for free installation of select products. Table 19 summarizes the program's 2026 DSM Extension components.
1 Table 19: 2026 Small Business Energy Solutions Program Component Extension Investment ($M) Energy Savings (GWh) Demand Savings (MW) Participation (products) 2026 Total 5.8 6.1 1.5 42,096 Program Component Changes • • • o o • Extension as...
AI summary Table 19 outlines the 2026 Small Business Energy Solutions Program, including a total investment of $5.8M, energy savings of 6.1 GWh, and 42,096 participating products. The program includes enhancements such as extending the preapproval window, increasing eligibility caps, and improving marketing strategies.
6 6. DEMAND RESPONSE In the 2023-2025 Plan, E1 introduced a new demand response (DR) program, a significant new development for the Nova Scotia electricity sector and E1. In the 2020 IRP, DR was selected as a new cost- effective resource f...
AI summary E1 introduced a new demand response (DR) program in the 2023-2025 Plan, building on 2019 DR pilots and the 2020 IRP's recognition of DR as a cost-effective resource. Collaborating with NS Power and Guidehouse, E1 developed DR pathways like battery control and CPP, with plans to expand initiatives in 2026. The 2023-2025 DSM Plan aimed to test DR feasibility and optimize costs.
6.1 DEMAND RESPONSE PROGRAM - E1's Demand Response program is comprised of two program components: - Residential Demand Response; and - BNI Demand Response.
AI summary E1's Demand Response program consists of two components: Residential Demand Response and BNI Demand Response. The text outlines the structure of the program as part of a regulatory proceeding.
6.1.1 RESID EN TIAL D EM AN D RESPON SE - The Residential DR program component aims to help residential customers reduce their electric load - during peak events called by NS Power by providing financial incentives for the DR capacity made...
AI summary The Residential Demand Response program aims to help residential customers reduce their electric load during peak events called by NS Power by offering financial incentives for the DR capacity made available. Table 20 summarizes the program component for the 2026 DSM Extension.
4 Table 20: 2026 Summary of the Residential Demand Response Program Component Extension Investment ($M) New Capacity (MW)a Available Capacity (MW) Participation (participants) 2026 Total 4.0 3.7 4.7 10,303
AI summary Table 20 outlines the 2026 summary of the Residential Demand Response Program Component, including total investment, new and available capacity, and the number of participants involved in the program.
1 6.1.2 BN I D EM AND RESPON SE - 2 The BNI DR program component offers financial incentives to BNI customers for the DR capacity made - 3 available during peak events called by NS Power, aiming to reduce their electric load during these p...
AI summary The BNI Demand Response program provides financial incentives to customers for reducing electric load during peak events called by NS Power. Table 21 summarizes the program component for the 2026 DSM Extension.
7 Table 21: 2026 Summary of the BNI Demand Response Program Component Extension Investment ($M) New Capacity (MW)a Available Capacity (MW) Participation (participants) 2026 Total 2.6 2.6 11.6 439
AI summary Table 21 summarizes the 2026 BNI Demand Response Program Component, showing a total investment of $2.6 million, 2.6 MW of new capacity, 11.6 MW of available capacity, and 439 participants.
3 7. ENABLING STRATEGIES - 4 The Enabling Strategies program has been a component of E1's DSM Plans since 2012. Historically, E1 has - invested an average of 10% of its total DSM portfolio investment in Enabling Strategies.[32](#page-80-2)...
AI summary The Enabling Strategies program, part of E1's DSM Plans since 2012, includes Education and Outreach, Development and Research, and Other Enabling Strategies. Investment in this program for the 2026 DSM Extension is $7.0 million, with increased funding for Development and Research to support market transformation pilots and the development of the 2027-2031 DSM Plan.
21 Table 22: 2026 DSM Extension Enabling Strategies Enabling Strategy Category 2026 Investment ($ million) 2026 Areas of Focus Education & Outreach $1.6 • Areas of focus for 2026 Education & Outreach activities align with the approved 2023...
AI summary The 2026 DSM Extension Enabling Strategies outline investment areas for education and outreach, as well as development and research, aligning with the 2023-2025 Plan. Key focus areas include community outreach, equity-seeking communities, innovation, and green schools.
6 8.1 PERFORMANCE TARGETS - 7 The currently approved 2023-2025 Plan has been extended to include 2026 as a fourth year as outlined in - 8 the recently amended PUA . Consequently, E1's Performance Targets for the 2023-2025 period would be -...
AI summary The 2023-2025 Demand-Side Management (DSM) Resource Plan has been extended to include 2026, as outlined in the amended Public Utilities Act (PUA). E1's Performance Targets for the 2023-2026 period include cumulative energy and peak demand savings, demand response capacity, and energy savings in low-income and equity programs. E1 is considered in compliance if it achieves 90% or more of each target.
161718 Table 23: 2023-2026 Performance Targets 2023-2026 Performance Targets Year Energy Savings (GWh) Demand Savings (MW) Available Capacity (MW) Low-Income & Equity a (GWh) Investment ($ million) 2023 120.7 26.9 3.0 5.3 53.1 2024 142.6 2...
AI summary Table 23 outlines the 2023-2026 performance targets for energy savings, demand savings, available capacity, low-income and equity goals, and investment amounts. The data includes annual and cumulative figures for the period, highlighting energy efficiency and demand-side management goals.
8.2 PERFORMANCE INDICATORS Performance indicators are a set of selected performance metrics used to indicate or monitor progress towards performance targets and DSM Plan implementation. E1 provides the status of the organization's annual p...
AI summary E1 proposes to extend the 2023-2025 DSM Plan to 2023-2026, using the same performance indicators. Amendments to the Supply Agreement are provided in Appendices C and D. Table 24 compares proposed and approved indicators for the 2023-2026 period.
Table 24: 2023-2026 Performance Indicators Approved 2023-2025 Performance Indicators 2026 2023-2026 • Annual incremental energy savings (reported by program and rate class) (GWh) ✓ ✓ • Cumulative annual energy savings (reported by program...
AI summary Table 24 outlines 2023-2026 performance indicators for energy savings, demand response, and customer satisfaction. Key metrics include annual and cumulative energy savings (GWh), system-peak demand savings (MW), ratepayer benefits, and low-income program impacts. The table emphasizes reporting by program, rate class, and equity considerations.
3 8.2.1 LOW-IN COM E AN D EQUITY PERFORM ANCE IND ICATORS - 4 In the approved 2023-2025 DSM Plan, the NSUARB established a performance indicator of 23.6 GWh of - 5 incidental cumulative annual energy savings from E1's non-targeted programs...
AI summary The NSUARB set a 23.6 GWh low-income and equity performance target for E1's 2023-2025 DSM Plan. E1 proposes 6.6 GWh for 2026, totaling 30.2 GWh by 2026. The 2026 DSM Extension includes metrics on participation, expenditures, and savings, with data in Table 25. Reference is made to NSUARB Order M10473.
1 Table 25: 2026 Low-income and Equity Performance Indicators - Non-Targeted Program Components 2026 Investment ($) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Participation Unit Efficient Product...
AI summary Table 25 outlines 2026 performance indicators for low-income and equity programs in Nova Scotia, including investments, energy savings, and participation numbers for various initiatives like Efficient Product Installation and Residential Behaviour.
4 9. EVALUATION - 5 In the 2026 DSM Extension, E1 proposes to follow the same measurement and evaluation activities as - 6 approved in the 2023-2025 Plan. This includes an annual impact evaluation for each program. - 7 As in the approved 2...
AI summary E1 proposes to follow the same measurement and evaluation activities as the 2023-2025 Plan for the 2026 DSM Extension, including annual impact evaluations and condensing activities for mature programs. Collaboration with the Evaluator will determine components for process and market evaluations.
12 10. REPORTING - 13 In the 2026 DSM Extension, E1 proposes to be subject to the same DSM reporting as in the approved - 14 2023-2025 Plan. 2026 DSM Extension reporting activities would include 2026 Quarterly Reports, the 2026 - 15 Annual...
AI summary E1 proposes to maintain the same DSM reporting requirements as in the 2023-2025 Plan for the 2026 DSM Extension, including quarterly reports, annual progress reports, audited financial statements, and RBIA. Changes and enhancements to reporting are outlined in Table 26.
19 Table 26: Changes and Enhancements to 2026 DSM Extension Reporting Reporting Changes and/or Enhancements in the 2026 DSM Extension as compared to the 2023-2025 Plan Quarterly and • Annual Progress In 2025, E1 enhanced its rate class rep...
AI summary The document outlines changes and enhancements to the 2026 DSM Extension reporting, including improved rate class reporting in quarterly and annual progress reports, and the filing of a forward-looking RBIA for the 2026 DSM Extension. These updates aim to provide more detailed insights into rate class expenditures and variances from the approved plan.
Appendix A Attachment 1: DSMAG Electricity System Avoided Costs Summary Document
AI summary Attachment 1 of Appendix A presents the DSMAG Electricity System Avoided Costs Summary Document, focusing on cost calculations related to demand-side management initiatives. The document is part of a regulatory proceeding involving Nova Scotia utility regulations and cost recovery mechanisms.
1. ISSUE - The purpose of the avoided costs discussion with the Demand Side Management Advisory Group (DSMAG) - was to achieve the following deliverable as described in the DSMAG Terms of Reference: - " Developing a methodology and process...
AI summary The document discusses the need to update avoided costs methodology for DSM planning, noting unresolved issues from NS Power's 2024 work using the 2022 IRP Update. E1 uses these costs for the 2026 DSM Extension but emphasizes resolving remaining issues to ensure updated costs are incorporated into the 2027-2031 DSM Plan.
2. BACKGROUND - On September 28, 2023 the initial session on avoided costs was held with the DSMAG. Since that session - the following activities have occurred: - Sept 28, 2023: DSMAG Session NS Power reviewed their methodology for calcula...
AI summary The document outlines a timeline of activities related to NS Power's avoided costs methodology discussions with the DSMAG from September 2023 to April 2025. Key events include presentations, comment submissions from entities like DNRR, Synapse, and E1, and iterative feedback sessions. The process involves refining avoided cost calculations for transmission, distribution, energy, and capacity.
10 3. AVOIDED COSTS USED BY E1 FOR 2026 DSM EXTENSION
AI summary The document discusses avoided costs utilized by E1 for the 2026 DSM extension, focusing on demand-side management strategies and their financial implications.
11 DSM PLANNING MODELS THAT USE AVOIDED COST INPUTS - 12 Table 1, below, identifies the categories of electric utility system avoided costs that were used to calculate - 13 the benefits of the energy efficiency, and demand response resourc...
AI summary This section discusses the use of avoided cost inputs in DSM planning models, specifically in the 2026 DSM Extension modelling and the Rate and Bill Impact Analysis (RBIA), identifying categories of electric utility system avoided costs used to calculate benefits from energy efficiency and demand response resources.
18 Cost Effectiveness Screening : - 19 A. For modelling of the 2026 DSM Extension, the Total Resource Cost (TRC) test, and Program 20 Administrator Cost (PAC) test, have been provided. - 21 B. Cost effectiveness testing has been performed...
AI summary The 2026 DSM Extension uses TRC and PAC tests for cost effectiveness screening. Energy efficiency and demand response programs underwent testing, with E1 noting some avoided cost streams are non-material to models.
AVOIDED COSTS USED IN 2026 DSM EXTENSION MODELS
AI summary The document discusses the use of avoided costs in 2026 Demand-Side Management (DSM) extension models, focusing on regulatory considerations in Nova Scotia. Key entities include Nova Scotia Utility and Review Board (NSUARB), Nova Scotia Power (NSP), and related programs like DSM Cost Recovery Rider (DCRR).
A. Energy Efficiency Process Model - For the 2026 DSM Extension modelling, E1 used seasonal avoided costs of energy as calculated by NS - Power. More specifically, E1 used the following three streams of avoided costs of energy as calculate...
AI summary The 2026 DSM Extension modelling uses seasonal avoided costs of energy calculated by NS Power for the Evergreen IRP No Atlantic Loop Base Scenario, as provided to the DSMAG on August 23, 2024. Three streams of avoided costs are considered: On-Peak Winter, Off-Peak Winter, and Non-Winter Actual Annual AVC-Energy.
These values are provided in Table 2 and presented as nominal: Table 2: Seasonal Avoided Costs of Energy as calculated by NS Power On Peak Off Peak Year Winter Winter Non-Winter Actual Annual AVC - Energy ($/MWh) 2026 $239.96 $129.01 $115....
AI summary The document presents seasonal avoided costs of energy as calculated by NS Power for the years 2026 to 2051, with data showing variations in on-peak and off-peak winter and non-winter energy costs. The table includes actual annual costs and avoided costs, with extrapolated data for the years 2051-2055 using a 2% annual inflation rate. A section titled 'Demand Response DRSim Model' is also mentioned.
C. Rate and Bill Impact Analysis E1 used the actual average annual avoided costs of energy as calculated by NS Power and provided to the DSMAG on August 23, 2024 for the E1 RBIA. These values are provided in Table 3 and presented as nomina...
AI summary E1 used actual average annual avoided costs of energy calculated by NS Power and provided to the DSMAG on August 23, 2024 for the E1 Rate and Bill Impact Analysis (RBIA), as presented in Table 3.
A. Energy Efficiency ProCESS Model For the 2026 DSM Extension modelling, E1 used the Actual Annual AVC-Capacity stream of avoided costs of capacity as calculated by NS Power for the Evergreen IRP No Atlantic Loop Base Scenario (CE1-E1-R2)...
AI summary The 2026 DSM Extension modelling uses actual annual AVC-Capacity stream of avoided costs of capacity calculated by NS Power for the Evergreen IRP No Atlantic Loop Base Scenario, as provided to the DSMAG on August 23, 2024.
3. AVOIDED COSTS OF TRANSMISSION & DISTRIBUTION (T&D)
AI summary The section discusses avoided costs related to transmission and distribution, focusing on regulatory considerations and stakeholder analyses. Key entities include Nova Scotia Utility and Review Board (NSUARB) and Demand-Side Management (DSM) programs, with emphasis on cost recovery mechanisms and benefit-cost ratios.
4. AVOIDED COST OF CARBON The intent of this section is to provide detail on the electric utility avoided cost of carbon used in the 2026 DSM Extension modelling.
AI summary This section details the electric utility avoided cost of carbon for the 2026 DSM Extension modelling, focusing on quantifying carbon emission reductions from demand-side management initiatives.
EfficiencyOne Estimation of DSM Low-Income and Equity Impacts Date Filed: April 30, 2025
AI summary EfficiencyOne submitted a filing on April 30, 2025, estimating the low-income and equity impacts of Demand-Side Management (DSM) programs. The document focuses on analyzing how DSM initiatives affect vulnerable populations and equitable outcomes.
4 2. DEDICATED LOW-INCOME AND EQUITY PROGRAMS - 5 E1's DSM portfolio offers dedicated program components that exclusively serves low-income and 6 equity communities. This includes the following program components: - 7 Affordable Multi-Fami...
AI summary E1's Demand-Side Management (DSM) portfolio includes dedicated programs for low-income and equity communities, such as Affordable Multi-Family Housing, HomeWarming, and the Mi'kmaw Home Energy Efficiency Project. These programs are assumed to generate 100% low-income and equity savings for reporting purposes in the 2026 DSM Extension.
3. INCIDENTAL LOW-INCOME AND EQUITY IMPACTS FROM NON-TARGETED PROGRAMS E1 has also assumed that customers from low-income and equity communities participate in other E1 programs in varying proportions. These are "incidental" low-income and...
AI summary E1 assumes low-income and equity customers participate in non-targeted programs, leading to incidental impacts. Sections 3.1 and 3.2 detail assumptions for the 2026 DSM Extension and DSM reporting methodologies.
3.1 2026 DSM EXTENSION ASSUMPTIONS: INCIDENTAL IMPACTS To estimate the incidental low-income and equity impacts for the 2026 DSM Extension from non-targeted programs, E1's historical low-income and equity reporting relies on information ab...
AI summary The document discusses estimating incidental low-income and equity impacts for the 2026 DSM Extension using E1's historical data from 2023-2024, as actual project details are not available through modeling. Table 2 outlines assumptions and calculations for non-targeted program components.
The calculations use the general term "savings". The same calculations are applied to energy savings, peak demand savings, and program expenditures. Program Component Assumptions Calculation for 2026 DSM Extension Residential Program m Com...
AI summary The text discusses assumptions related to the 2026 DSM Extension, including the removal of lighting from Instant Savings and the assumption of no incidental low-income and equity impacts on participation and savings.
1 3.2 DSM REPORTING ASSUMPTIONS: INCIDENTAL IMPACTS - 2 [Table 3](#page-104-1) provides the assumptions and calculations for incidental low-income and equity impacts - 3 for DSM reporting from E1's non-targeted program components.
AI summary The section discusses DSM reporting assumptions related to incidental low-income and equity impacts from E1's non-targeted program components, with Table 3 providing the relevant calculations.
5 Table 3: DSM Reporting: Incidental Low-Income Impacts for Non-Targeted Program Components Program Component Assumptions Calculation for DSM Reporting Residential Program Components Instant Savings • Assumed to be no incidental low-income...
AI summary Table 3 discusses the incidental low-income impacts of non-targeted program components in the Demand-Side Management (DSM) reporting. It highlights that the Instant Savings program assumes no incidental low-income participation and savings, particularly after the removal of lighting from the program in 2025.
Filed Electronically
AI summary The document is an electronically filed submission in a Nova Scotia regulatory proceeding involving Demand-Side Management (DSM) programs, cost recovery mechanisms, and utility rate structures. Key entities include Nova Scotia Power (NSP), the Nova Scotia Utility and Review Board (NSUARB), and EfficiencyOne (E1). Topics focus on DSM cost recovery, energy efficiency, and regulatory analysis.
Filed Electronically
AI summary The document is an electronically filed submission in a Nova Scotia regulatory proceeding involving Demand-Side Management (DSM) programs, cost recovery mechanisms, and utility rate structures. Key entities include Nova Scotia Power (NSP), the Nova Scotia Utility and Review Board (NSUARB), and EfficiencyOne (E1). Topics focus on DSM cost recovery, energy efficiency, and regulatory analysis.
Appendix B Rate and Bill Impact Analysis of the 2026 DSM Extension
AI summary This appendix outlines the Rate and Bill Impact Analysis (RBIA) for the 2026 extension of Demand-Side Management (DSM) programs in Nova Scotia. The analysis evaluates financial implications for consumers and utilities, focusing on cost recovery and program effectiveness.
1. EXECUTIVE SUMMARY EfficiencyOne (E1) delivers demand side management (DSM) programs that offer benefits to customers and the electric utility. While DSM is a key resource option for delivering clean, affordable, reliable and safe energy...
AI summary EfficiencyOne (E1) implements demand-side management (DSM) programs that reduce customer bills despite potential rate increases, addressing equity concerns. E1's Rate and Bill Impact Analysis (RBIA) evaluates long-term rate and bill impacts of DSM activities, providing insights for balancing benefits across customers.
2. INTRODUCTION The forward-looking RBIA is an analysis of the rate and bill impacts associated with the proposed DSM investment only. The forward-looking rate and bill impact analysis associated with a DSM Plan or Extension Application co...
AI summary The document discusses forward-looking and historical Rate and Bill Impact Analysis (RBIA) for Demand-Side Management (DSM) investments. It outlines E1's proposed elimination of historical RBIA filings except during DSM Plan Application years, with the NSUARB accepting this approach. The next historical RBIA is scheduled for the 2027-2031 DSM Resource Plan Application.
3. 2026 DSM EXTENSION RBIA RESULTS - The results in this section are for the 2026 DSM Extension. All impacts are calculated relative to a scenario - where no DSM is conducted in 2026. Results are summarized in Attachment 1, and have been p...
AI summary This section presents the 2026 DSM Extension RBIA results, comparing scenarios with and without DSM implementation. Impacts are calculated relative to a no-DSM baseline, with energy efficiency and demand response analyzed separately and combined. Attachments 1 and 2 summarize results, including rate and bill impacts by rate class, and model outputs.
3.1 OVERALL RATE IMPACTS - DSM can lower rates by avoiding different types of electricity system costs (avoided energy, capacity, - transmission and distribution). DSM may also increase rates, a result of recovering program costs as well -...
AI summary The 2026 DSM Extension RBIA analyzes rate impacts of Demand-Side Management (DSM) programs, showing average rate changes ranging from +0.08% to +0.45% over 2026-2041. Initial cost recovery in 2026 causes higher impacts (+2.1% to +4.9%), but long-term effects (2027-2041) show smaller or negative impacts (-0.14% to +0.15%). These figures reflect long-term trends, not annual fluctuations.
14 Table 1: Average Rate Impact compared to No-DSM Scenario, 2023-2025 Plan to 2026 DSM Extension Results 15 Comparison Rate Class 2023-2025 Plan RBIA Result (average rate impact over 2023-2039) 2026 DSM Extension RBIA Result (average rate...
AI summary The table compares the average rate impact of the 2023-2025 Demand-Side Management (DSM) Plan and the 2026 DSM Extension on various rate classes. The results show a decrease in rate impact for most classes under the 2026 DSM Extension compared to the 2023-2025 Plan, with the exception of Large Industrial, which saw a negative impact under the 2023-2025 Plan and a positive impact under the 2026 Extension.
3.2 OVERALL BILL IMPACTS Generally speaking, ratepayers that participate in DSM programs directly benefit by reducing their electricity consumption and thereby lowering their electricity bills. Together, the level of reduced consumption (o...
AI summary DSM programs reduce electricity bills for participants by 0.1-8.8% (2026-2041), while non-participants see minimal increases (+0.1-0.4%). Total customer savings range from -1.1 to -0.1%. Net savings for Nova Scotia ratepayers are $74 million due to reduced revenue requirements from DSM programs implemented in 2026.
3.3 RESULTS BY RATE CLASS This section highlights results in more detail by individual rate class for the 2026 DSM Extension.
AI summary This section details results by rate class for the 2026 DSM Extension, focusing on analysis by individual rate classes under Nova Scotia's Demand-Side Management initiatives.
3.3.8 M UN ICIPAL - As modelled, the Municipal class includes Rate Code 24 only. - The average rate impact over the study period is an increase of 0.2 percent, or 0.01 cents/kWh. Municipal ↑ 0.2% Rates ↓ 0.1% Average Bills - Municipal util...
AI summary The Municipal class (Rate Code 24) experiences a 0.2% rate increase and 0.1% average bill decrease. E1 program participation by all Municipal Electric Utilities results in identical bill impacts for participants and total customers, though individual participation is not modeled. This simplification affects rate and bill effect analysis for MEU customers.
4. UPDATE ON MODEL EVOLUTION - In 2024-2025, E1 worked with Elenchus, its RBIA consultant, to update the E1 RBIA model and NS Power rate model. Updates include the following: - Integration of historical and forward-looking RBIA models. Bot...
AI summary In 2024-2025, E1 and NS Power updated their RBIA and rate models with historical/forward-looking integration, expanded resource options (including strategic electrification), refined participation methodology, revised data display, added change logs, and enhanced transparency through new model tabs. These updates support the 2026 DSM Extension RBIA and future DSM planning.
4.1 INTEGRATION OF HISTORICAL AND DSM PLAN RBIA MODELS - Both the NS Power rate model and E1 RBIA model were adjusted so they have the functionality to provide - either historical RBIA results (DSM delivered since 2011) or forward-looking...
AI summary The NS Power rate model and E1 RBIA model have been adjusted to provide both historical RBIA results (DSM since 2011) and forward-looking RBIA results for future measures. This integration allows for a comprehensive analysis of past and future DSM impacts.
4.2 ADDITIONAL DSM RESOURCES - In the planning for E1's first five-year DSM Plan (2027-2031) it was identified that in addition to energy - efficiency and demand response, additional resources may need to be included in future DSM Plan RBI...
AI summary The planning for E1's first five-year DSM Plan (2027-2031) identified the need to include additional resources beyond energy efficiency and demand response. The NS Power rate model and E1 RBIA model were updated to allow for up to five resources to be modeled simultaneously, as detailed in Table 2.
Table 2: 2026 DSM Extension and Resources Included in the RBIA Model Resource 2026 DSM Extension RBIA Energy Efficiency Included Demand Response Included Solar-PV Not modelled Batteries Not modelled Electrification Not modelled - As shown...
AI summary Table 2 outlines the 2026 DSM Extension and Resources Included in the RBIA Model. Energy Efficiency and Demand Response are included, while Solar-PV, Batteries, and Electrification are not modelled as part of the 2026 DSM Extension.
4.3 PARTICIPATION
AI summary The section titled '4.3 PARTICIPATION' outlines regulatory considerations related to stakeholder involvement in Nova Scotia utility proceedings, referencing acronyms and entities involved in energy efficiency, demand response, and regulatory analysis.
4.3.1 ACTIVE PARTICIPATION M ETHOD OLOGY - Previously, participant estimates were calculated using a 'cumulative' methodology. This did not account - for the measure life of savings, resulting in the potential for the number of cumulative...
AI summary The document discusses a shift from a cumulative to an annual/active participation methodology in DSM programs to address overestimation of participants and underestimation of savings. E1's new approach tracks active participation yearly with weighted-average measure life, improving accuracy in RBIA models. Program-level participation data will no longer be included in RBIA but will remain in E1's reports.
4.5 NS POWER RATE MODEL SCENARIOS - In the 2022 Historical Rate and Bill Impact Analysis proceeding, Synapse recommended that E1 continue - to improve transparency in the RBIA models, and E1 committed to working with NS Power to add M10830...
AI summary NS Power updated its rate model to improve transparency in DSM scenarios following Synapse's 2022 recommendations. E1 and Elenchus collaborated with NS Power to clarify DSM/No-DSM scenarios, adjusting the model without altering RBIA results. The model includes historical DSM costs, planned programs, and calculates revenue requirements by adding avoided costs to the 'DSM Benchmark' scenario.
4.6 DEMAND RESPONSE ASSESSMENT In the 2022 Rate and Bill Impact proceeding, Synapse recommended that E1 monitor for models used in other jurisdictions that they may adopt to enhance the demand response assessment in the RBIA and E1 indicat...
AI summary In the 2022 Rate and Bill Impact proceeding, Synapse advised E1 to adopt models from other jurisdictions to improve demand response assessments. E1 committed to refining models with its consultant Elenchus but has not identified necessary changes yet. The NSUARB directed E1 to report on model developments in its next report.
5. METHODOLOGY AND ASSUMPTIONS - Attachment 3 describes the overall modelling and key assumptions that apply to the 2026 DSM Extension - RBIA (forward looking). M10830, E1 2022 RBIA, E1 Reply Comments, January 19, 2023, page 5 M10830, E1 2...
AI summary Attachment 3 outlines modeling and assumptions for the 2026 DSM Extension and references RBIA as forward-looking. It cites M10830, E1's 2022 RBIA, and the NSUARB Decision dated February 24, 2023, page 5.
6. FUTURE CONSIDERATIONS - E1 understands that NS Power is currently developing an updated Cost of Service Study. Once concluded, - E1 will work with stakeholders to consider any potential implications to the RBIA as a result of this updat...
AI summary E1 acknowledges NS Power's updated Cost of Service Study and plans to collaborate with stakeholders on RBIA implications. The next RBIA applications will cover 2026-2031, part of E1's DSM Resource Plan filing in winter 2026.
7. CONCLUSION - Highlights from the 2026 DSM Extension RBIA analysis include: - Over the 16 years of the study period, participants in DSM programs see average annual bill reductions ranging from a low of 0.1 percent (typical Municipal par...
AI summary The 2026 DSM Extension RBIA analysis highlights that DSM programs lead to significant bill savings for participants, with Nova Scotian ratepayers expected to save $74 million over 16 years. Non-participants experience minimal rate increases, while higher participation reduces the number of customers facing rate hikes without bill savings. The analysis also notes that societal benefits like reduced emissions and local economic investment are not fully captured in the RBIA model.
Appendix B Attachment 2: Results by Rate Class (2026 DSM Extension) Line# R Rate ar nd Bill Impac ts of D SM on the Re sident ial Clas s 1 2011 2012 2013 2014 2015 2016 2017 2018 2019 2 2020 2 021 2 022 2 023 2 2024 2 2025 2 2026 2027 2 20...
AI summary This table shows the results of the 2026 DSM Extension, highlighting net incremental and total annual energy savings, DSM expenditures, and the number of active participants over time. Energy savings increase significantly starting in 2026, with 43.3 GWh@gen of annual energy savings and 144 active participants.
his graph shows estimated rate impacts of DSM by individual DSM resource, all relative to the no-DSM scenario. 23 This graph shows bill impacts of all DSM resources combined, as percentage differences relative to the no-DSM scenario. 'Part...
AI summary The text includes several figures illustrating the estimated rate and bill impacts of Demand-Side Management (DSM) resources relative to a no-DSM scenario. It also describes participation metrics for DSM resources, distinguishing between 'Annual' and 'Active' participation. The document was filed on April 30, 2025.
his graph shows estimated rate impacts of DSM by individual DSM resource, all relative to the no-DSM scenario. This graph shows bill impacts of all DSM resources combined, as percentage differences relative to the no-DSM scenario. 'Partici...
AI summary The document presents graphical analyses of the estimated rate and bill impacts of Demand-Side Management (DSM) resources relative to a no-DSM scenario. It also includes participation rates for different DSM resources, distinguishing between 'Annual' and 'Active' participation, and highlights the potential for double-counting of participants across resources.
his graph shows estimated rate impacts of DSM by individual DSM resource, all relative to the no-DSM scenario. This graph shows bill impacts of all DSM resources combined, as percentage differences relative to the no-DSM scenario. 'Partici...
AI summary The document includes figures illustrating the estimated rate and bill impacts of Demand-Side Management (DSM) resources relative to a no-DSM scenario, as well as participation rates for different DSM resources. The analysis includes both annual and active participation metrics, accounting for potential overlaps in customer participation across resources.
his graph shows estimated rate impacts of DSM by individual DSM resource, all relative to the no-DSM scenario. This graph shows bill impacts of all DSM resources combined, as percentage differences relative to the no-DSM scenario. 'Partici...
AI summary The document presents graphical analyses of the estimated rate and bill impacts of Demand-Side Management (DSM) resources, relative to a no-DSM scenario. It includes participation rates for different DSM resources, distinguishing between 'Annual' and 'Active' participation, and highlights the impact of DSM on customer energy use and costs.
his graph shows estimated rate impacts of DSM by individual DSM resource, all relative to the no-DSM scenario. This graph shows bill impacts of all DSM resources combined, as percentage differences relative to the no-DSM scenario. 'Partici...
AI summary The text presents graphical data on the estimated rate and bill impacts of Demand-Side Management (DSM) resources, comparing scenarios with and without DSM. It also includes information on participation rates and active participation by DSM resource, highlighting the impact of DSM on customer energy use and billing.
his graph shows estimated rate impacts of DSM by individual DSM resource, all relative to the no-DSM scenario. This graph shows bill impacts of all DSM resources combined, as percentage differences relative to the no-DSM scenario. 'Partici...
AI summary The text discusses the estimated rate and bill impacts of Demand-Side Management (DSM) resources, comparing them to a no-DSM scenario. It also includes graphs showing participation rates for different DSM resources, distinguishing between 'Annual' and 'Active' participation, and highlights potential overlaps in customer participation across resources.
his graph shows estimated rate impacts of DSM by individual DSM resource, all relative to the no-DSM scenario. This graph shows bill impacts of all DSM resources combined, as percentage differences relative to the no-DSM scenario. 'Partici...
AI summary The text discusses the estimated rate and bill impacts of Demand-Side Management (DSM) resources, relative to a no-DSM scenario. It also provides visual representations of annual and active participation rates for different DSM resources within a class, highlighting potential overlaps and double-counting.
DATE FILED: April 30, 2025 Line# I Rate a nd Bill Impac ts of D SM on the M unicip al Clas s 1 2011 2012 2013 2014 2015 2016 2017 2018 2019 2 2020 2 021 2 0 022 20 )23 20 024 2 2025 2 2026 2027 2 2028 2029 2030 2 2031 2032 2033 1034 2035 2...
AI summary The document presents a table showing the impact of Demand-Side Management (DSM) on the municipal class over several years. It outlines energy savings, expenditures, and participant numbers, with significant values starting in 2025. The data indicates a shift in energy savings and participant activity from 2025 onward.
1. GENERAL APPROACH - E1 has used the "snapshot" approach recommended by Synapse, in which the impacts of specific - program years are analyzed (in this case 2026 programs for the forward-looking DSM RBIA) rather - than incorporating an as...
AI summary E1 employed Synapse's 'snapshot' approach, analyzing 2026 DSM programs for the forward-looking DSM RBIA instead of a long-term assessment.
2. RESOURCES AND SCENARIOS - The 2026 DSM Extension Analysis includes the NS Power rate model and the E1 RBIA model, filed - in Attachments 5 and 6 respectively. The analysis compares two scenarios: a DSM scenario and a - no-DSM scenario....
AI summary The 2026 DSM Extension Analysis compares DSM and no-DSM scenarios using NS Power's rate model and E1's RBIA model. It evaluates energy efficiency and demand response impacts, isolating 2026 DSM effects on rates and bills. Alternative scenarios include Energy Efficiency Only and Demand Response Only, with results summarized in Attachment 1.
2.1 ENERGY EFFICIENCY INPUTS - For 2026, first-year energy, lifetime energy and demand savings developed at the program - component level were allocated to rate classes in proportion with the actual rate class allocation - of energy and de...
AI summary The document outlines methods for allocating 2026 energy and demand savings to rate classes based on 2022-2024 program component data. Weighted-average measure lives (WAMLs) are calculated using ratios of lifetime to first-year energy savings per rate class.
2.2 DEMAND RESPONSE INPUTS - Demand response costs, savings, measure life, and customer incentives are calculated and - entered separately in the model from energy efficiency inputs. Demand response inputs are - determined separately from...
AI summary Demand response (DR) inputs are modeled separately from energy efficiency (EE) to enable scenario analysis, including DSM, EE-only, and DR-only cases. DR programs affect demand, not energy, with one-year measure life and continuous participant engagement. Data for the 2026 DSM Extension RBIA comes from Guidehouse's DRSim™ model and historical forecasts.
3. ENERGY AND DEMAND SALES - NS Power has provided historical and projected energy and demand sales within each rate class - for 2011 2040. Energy sales are provided at the customer's meter for both the with DSM and - without DSM scenario....
AI summary NS Power has submitted historical and projected energy and demand sales data from 2011 to 2040, including comparisons between scenarios with and without Demand-Side Management (DSM). The data includes energy sales at customer meters and average monthly demand forecasts under the DSM scenario.
4. TIME PERIOD DEFINITIONS - The following time periods apply to the RBIA analysis: - DSM delivery period: the timeframe over which DSM programs are delivered. - The DSM delivery period included in the 2026 DSM Extension RBIA is 2026. - Co...
AI summary The text defines time periods for the RBIA analysis, including the DSM delivery period (2026), cost recovery period (2026), and study period (2026-2041). The study period ends when all average rate class DSM impacts expire, with impacts modeled over the full timeframe.
5. AVOIDED COSTS - Avoided costs are calculated at the system level using evaluated DSM savings and avoided cost - rates in four categories: generation, transmission, distribution, and energy. Avoided costs used - for the 2026 Extension an...
AI summary Avoided costs are calculated system-wide using DSM savings and rates across generation, transmission, distribution, and energy categories. Data for the 2026 Extension and RBIA are detailed in Appendix A, Attachment 1.
7.1 PARTICIPATION COUNTS BY CLASS Participation estimates used in the RBIA model are different than participation estimates used in development of DSM plans, since the RBIA tracks participating accounts , rather than the number of products...
AI summary The document explains how the RBIA model calculates participation counts by distinguishing between annual and active participants, using de-duplicated account data across programs and years. It details three participant categories: tracked, untracked, and Residential Behaviour participants, with totals capped at the number of customers in each rate class.
7.2 TRACKED ENERGY EFFICIENCY PARTICIPATION The RBIA estimates the number of annual energy efficiency participants and active energy efficiency participants for each rate class in each year of the study period. - Annual participants repres...
AI summary The RBIA estimates annual and active energy efficiency participants for each rate class. Annual participants are unique customers in DSM programs yearly, while active participants are those still experiencing savings based on weighted-average measure life.
7.3 UNTRACKED (POINT-OF-SALE PROGRAM) PARTICIPATION - E1 operates two program components that offer rebates at the point-of-sale: residential Instant - Savings and the Instant Rebates portion of Business Energy Rebates (BER-IR). These prog...
AI summary E1's Untracked Point-of-Sale Program includes residential and business rebate components (BER-IR) with participation estimated via transaction records and assumptions about rate class participation. For 2026, annual and active participants are estimated using forward-looking RBIA methods, with assumptions about flat participation until energy savings expire. Residential Behaviour and Demand Response participation methods are also detailed, including cross-participation rates and DRSim™ model inputs.
8. CALCULATION OF RATE IMPACTS - Rate impacts are calculated in NS Power's Rate Model (Attachment 5) to reflect NS Power's Cost - of Service in a more precise manner. NS Power's Rate Model methodology is described in - Attachment 4. - to a...
AI summary NS Power's Rate Model calculates rate impacts by blending DSM energy and demand effects into a single energy rate, while E1's RBIA Model uses these inputs. Demand charges are excluded from bill savings calculations as they are already incorporated into the blended rate. All rate effects are assumed to apply to energy rates, with customer and demand charges remaining unchanged between DSM scenarios.
9. CALCULATION OF BILL IMPACTS This section describes key elements of the bill impact calculations.
AI summary This section outlines the methodology for calculating bill impacts as part of the Nova Scotia Utility and Review Board (NSUARB) proceeding. It focuses on the Rate and Bill Impact Analysis (RBIA) process, which evaluates the financial effects of demand-side management programs on customer bills.
9.1 NO-DSM BILL IMPACTS - In the no-DSM scenario, for each rate class, and for each year, the total class energy consumption - is divided by the number of customers to produce an estimate of the average customer's - consumption. This avera...
AI summary The no-DSM scenario calculates average customer energy consumption by dividing total class energy consumption by the number of customers. These averages, combined with no-DSM rates, are used to estimate average bills for each rate class and year.
9.2 NON-PARTICIPANT BILL IMPACTS - In the DSM scenario, non-participants in DSM programs are assumed to use the same amount of - energy as they do in the no-DSM scenario. Their bill impacts are therefore driven only by changes - in rates u...
AI summary In the DSM scenario, non-participants' bill impacts are driven by rate changes rather than energy use, with fixed charges affecting the percentage differences between bill and rate impacts.
9.3 PARTICIPANT BILL IMPACTS - For the DSM scenario, within each rate class in each year, total annual savings (i.e., current-year - savings plus persistent savings from past years, note that this is not applicable for the 2026 - forward-l...
AI summary The DSM scenario assumes equal annual savings distribution among participants, ignoring participation depth variations. E1's RBIA includes free-riders but uses net savings, leading to lower average savings estimates. The model does not account for past-year savings in the 2026 forward-looking RBIA.
9.4 TOTAL CUSTOMER BILL IMPACTS - The RBIA also includes a third category of participants, called Total Customers. Impacts for this - category are determined by allocating DSM savings for the class equally among all customers in - the clas...
AI summary The RBIA includes a Total Customers category, where DSM savings are equally allocated among all customers in the class. Average savings and DSM scenario rates are used to calculate average bill savings, providing an estimate without differentiating between participants and non-participants.
Methodology for determination of changes in NS Power's base cost rates as a result of DSM-induced changes in class usage and total system costs November 27, 2020
AI summary The Nova Scotia Utility and Review Board (NSUARB) outlines a methodology to assess changes in Nova Scotia Power's (NSP) base cost rates caused by Demand-Side Management (DSM)-induced shifts in class usage and total system costs. The analysis focuses on evaluating DSM's impact on cost recovery, rate design, and system-wide cost implications.
1.0. Introduction In an effort to more precisely and accurately align EfficiencyOne's (E1) RBIA Model with the methodological process used by NS Power in setting of its base cost rates, all rate setting functionality from E1's RBIA model h...
AI summary NS Power is taking over rate-setting functionality from E1's RBIA model, aligning with COSS methodology. NS Power will provide annual inputs for RBIA under DSM scenarios, including revenue forecasts, sales, and customer data.
Revenue Requirement Ordinarily, the base cost rate setting process used in rate case applications requires a great amount of detailed cost inputs to determine revenue requirement. Annual rate base data needs to be collected on a variety of...
AI summary The document explains that the RBIA does not require detailed annual cost data for rate base calculations, as it only assesses DSM-induced changes while keeping other costs constant. This avoids the need for a full rate case analysis, focusing instead on directional and relative rate/bill changes due to DSM programs.
Cost of Service Studies COSS provides the most insight into class cost causation as based on changes in its energy and demand usage. It shows in a transparent way how rate class usage of demand and energy services within each functional ar...
AI summary COSS (Cost-of-Service Study) is critical for analyzing class cost causation by leveraging NS Power's Load Forecast Report and E1's long-term usage forecasts. This approach simplifies pricing adjustments by utilizing existing data rather than future investment details, ensuring transparency in rate class changes due to DSM.
Conclusions Bypassing the detailed COSS ratemaking step, which is intended to show how DSM-induced, cost causative changes in usage affects rates will produce misleading results and create difficulties in interpretation. Any such rate anal...
AI summary Bypassing the COSS ratemaking step for DSM leads to misleading rate analyses by failing to account for reallocation of embedded system costs. A simplified COSS process is recommended to accurately reflect how DSM-induced usage changes affect class-specific costs and rates.
3.0. Applied Approach The relative changes in rates due to DSM are determined by conducting two separate rate setting analyses under the "With DSM" and "No DSM" scenarios. The rate setting process under each scenario is broken out by two s...
AI summary The rate impact of Demand-Side Management (DSM) is analyzed through two scenarios ('With DSM' and 'No DSM'), each divided into subprocesses for FAM-related and non-FAM-related cost calculations to assess relative rate changes.
3.1 Revenue Requirement The annual revenue requirements under the "With DSM" scenario are kept consistent with the test year information from the preceding rate cases. The non-FAM costs in the years following the 2014 test year from the 20...
AI summary The document outlines revenue requirements for 'With DSM' and 'No DSM' scenarios, adjusting FAM and non-FAM costs with inflation and DSM impacts. Historic cost true-ups are excluded due to minimal rate effects, lack of COSS rigor, and complexity. E1 provides avoided fuel cost data for post-2022 adjustments.
3.2.1 Functionalization of System Costs As indicated in the Revenue Requirement section above, NS Power has used the test year revenue requirements, already functionalized by the four areas, from the historic rate cases. In the "With DSM"...
AI summary The text discusses the functionalization of system costs in the context of revenue requirements, including adjustments for changes in annual load and inflation. It outlines the impact of DSM on revenue requirements and provides examples of true-up calculations, such as the effect of depreciation costs from the Maritime Link project on total service costs under different scenarios.
3.2.2 Classification of System Costs Costs within each area are classified into appropriate services. Generation and transmission costs are classified into energy and demand. Distribution costs are classified between demand and customer. R...
AI summary System costs are classified into energy and demand categories, with DSM affecting reclassification. NS Power uses a linear equation to estimate generation cost classifications based on load factors. Transmission costs align with load factors, while distribution and retail costs remain static except for inflation. Peaking units and environmental investments are classified differently.
3.2.3 Allocation of Costs to Rate Classes Annual cost requirements within each service of each functional area are apportioned to rate classes based on class share in the underlying usage both in the "With DSM" and "No DSM" case.
AI summary Annual costs in each service area are allocated to rate classes based on their share of underlying usage in both 'With DSM' and 'No DSM' scenarios, ensuring proportional cost distribution across different customer classes.
FAM-related Costs The FAM-related costs are allocated to rate classes using the following two-step process: • Annual class energy usage is multiplied by the benchmark unit cost $/MWh - o In the "With DSM" case the benchmark unit costs come...
AI summary FAM-related costs are allocated to rate classes using a two-step process involving benchmark unit costs from past rate cases. The method does not differentiate between energy and demand-related costs due to historical insignificance of demand costs, though recent Maritime Link Costs have increased demand-related costs to 15% of FAM totals. This allocation method may be remodeled in future RBIA applications.
Non-FAM related Costs The non-FAM-related costs are allocated to rate classes using the following two-step process: - Annual class usages of energy and demand services are multiplied by benchmark $/MWh and $/MW unit costs, respectively - o...
AI summary Non-FAM-related costs are allocated to rate classes via a two-step process: multiplying annual energy/demand usages by benchmark unit costs (derived from recent rate cases for 'With DSM' and same-year data for 'No DSM' scenarios), then scaling class costs to align with revenue requirements per functional area.
DSM Costs The annual DSM-related costs incurred by individual rate classes, as provided by E1, are apportioned to rate classes based on the 25/75 rule. 75 percent of the costs incurred by each class is treated as direct responsibility of e...
AI summary DSM costs are apportioned to rate classes using a 25/75 rule, with 75% of costs directly attributed to each class and 25% distributed based on energy and demand usage. Energy-related costs are allocated by system generation share, while demand-related costs are based on winter peak contributions.
3.2.4 Generic COSS Results The actual results from the above cost allocation process under the "With DSM" and "No DSM" scenarios are presented in the "COSS Outputs" tab within NS Power's rate model, where the long-term trends in annual rel...
AI summary The COSS Results compare 'With DSM' and 'No DSM' scenarios, showing long-term unit cost trends by rate class. Historic periods show higher DSM cost impacts, while out-years show reduced differentials. Fuel-cost-heavy classes (e.g., Large Industrial) benefit more from DSM savings, whereas fixed-cost-heavy classes (e.g., Domestic) see less benefit. Differences arise from DSM spend, usage changes, and cost allocation methods.
3.3 Unit Revenue Determination For the directional purposes of the RBIA model, it is not considered necessary to develop annual rates with all charges under the "With DSM" and "No DSM" cases. Rather, it is sufficient for NS Power to provid...
AI summary NS Power determines class unit blended revenues for residential and small general rate classes without customer charges, adjusted for line losses. Factors like fuel cost true-ups and rate smoothing are excluded, as they have no material effect on relative unit revenue changes between 'With DSM' and 'No DSM' cases.
Overview of Spreadsheet Calculations
AI summary The document outlines spreadsheet calculations related to Demand-Side Management (DSM) programs, involving the Nova Scotia Utility and Review Board (NSUARB) and EfficiencyOne (E1). Key considerations include benefit/cost ratios (TRC, PAC), regulatory frameworks (PUA), and cost recovery mechanisms (DCRR). The analysis supports NSUARB's evaluation of DSM initiatives under the Public Utilities Act.
Data Inputs
AI summary The 'Data Inputs' section lists acronyms and their expansions relevant to a Nova Scotia regulatory proceeding, including organizations, legislation, and programs involved in energy efficiency, demand-side management, and utility regulation.
"COSS Data Inputs" tab This tab includes all annual test year class usage and embedded costs from the COSS and BCF COSS filed in GRA and BCF proceedings as well as a forecast of annual usage by class per the most recent ten-year Load Forec...
AI summary The 'COSS Data Inputs' tab contains annual test year data from COSS and BCF COSS filings, load forecasts, and DSM expenditures, used to determine class unit costs and revenues. It includes data from regulatory proceedings and forecasts for usage by rate class.
"E1 Data Inputs" tab This tab includes information provided to NS Power by E1 on DSM Program measures and avoided unit costs, all of which are used in determination of class unit costs and revenues.
AI summary The 'E1 Data Inputs' tab details data provided by E1 to NS Power regarding DSM program measures and avoided unit costs, which are essential for calculating class unit costs and revenues.
Savings in energy and demand usage by rate class Savings in energy and demand usage arising from DSM programs for each class are tracked in the following class tabs: R-Savings, SG-Savings, G-Savings, LG-savings, SI-Savings, MI-Savings, LI-...
AI summary The document outlines how energy and demand savings from DSM programs are tracked by rate class, using data from 2011 to 2022. Savings are calculated by E1's RBIA Reports and adjusted using COSS data on energy and demand losses.
Cost of Service Studies Apportionment of costs to rate classes is done separately for the "With DSM" and "No DSM" cases" in the tabs bearing the same names.
AI summary The document outlines the apportionment of costs to rate classes under two scenarios: 'With DSM' and 'No DSM', as part of the Cost of Service Study. This analysis is conducted separately in tabs named accordingly.
"With DSM" tab The "With DSM" tab provides annual cost allocation to rate classes based on long-term usage as included in NS Power's most recent Annual ten-year Load Forecast Report. This usage already reflects inclusion of DSM Program eff...
AI summary The 'With DSM' tab outlines annual cost allocation to rate classes using NS Power's ten-year load forecast, incorporating DSM program effects. FAM costs for 2023-2035 are adjusted via a two-step process: calculating class costs using 2022 blended FAM rates, then scaling to match annual totals. The formula combines previous year costs with energy requirement changes and avoided FAM costs.
"No DSM" tab The "No DSM" tab provides annual cost allocation to rate classes absent DSM. The FAM-related costs in years 2011–2035 are calculated using the following process: - Annual FAM costs for each class are calculated by multiplying...
AI summary The 'No DSM' tab calculates annual Fuel Adjustment Mechanism (FAM) costs for rate classes without Demand-Side Management (DSM) savings. It uses blended unit FAM costs from the 'With DSM' case, scales costs to match total annual estimates, and applies a formula incorporating energy requirement deltas and avoided FAM costs, as detailed in tables 'Before External Effect' and 'After External Effect'.
Comments The applied process is a simplification of a more elaborate cost allocation process where some FAM costs, such as fuel costs, are allocated to rate classes based on their shares in monthly energy requirements; some other FAM costs...
AI summary The document details a simplified cost allocation process for FAM and non-FAM costs, differentiating allocation methods based on energy requirements, system peaks, and load factors. Non-FAM costs are calculated using 'With DSM' case data, adjusted by load factors and prorated across rate classes. Inflation adjustments for 2023–2035 and unit cost calculations at the generator's gate are also outlined.
"COSS Var" tab "COSS Var" provides differentials between cell values in the "No DSM" and "With DSM" tabs. Please note that the data layouts in the "No DSM" and "With DSM" tabs are identical with the exception for the treatment of DSM costs...
AI summary The 'COSS Var' tab illustrates differentials between 'No DSM' and 'With DSM' scenarios, highlighting how DSM costs are excluded in the 'No DSM' case. The tabs share identical data layouts except for DSM cost treatment.
"COSS Outputs" tab The "COSS Outputs" tab provides two sets of bar graphs of percentage change in class rates due to DSM over the period 2011–2035 calculated as either arithmetic or load-weighted rate changes. The graphs within each set ar...
AI summary The 'COSS Outputs' tab presents bar graphs illustrating percentage changes in class rates due to DSM (Demand-Side Management) from 2011 to 2035, calculated using arithmetic or load-weighted methods. It includes scenarios analyzing changes in unit base cost revenues, considering DSM costs, and a control panel to test inflation and avoided cost impacts on rate changes.
"NSPI Inputs into RBIA" tab "NSPI Inputs into RBIA" provides pricing inputs requested by E1. It includes the following annual class data in years 201-2035 broken out by "With DSM" and "No DSM" scenarios: - Forecast Unit Revenues Before DSM...
AI summary The 'NSPI Inputs into RBIA' tab provides annual pricing data from 201-2035, comparing 'With DSM' and 'No DSM' scenarios, including revenue forecasts, DSM program charges, sales forecasts, demand forecasts, and customer counts, submitted by E1 for the Rate and Bill Impact Analysis.
Filed Electronically
AI summary The document is an electronically filed submission in a Nova Scotia regulatory proceeding involving Demand-Side Management (DSM) programs, cost recovery mechanisms, and utility rate structures. Key entities include Nova Scotia Power (NSP), the Nova Scotia Utility and Review Board (NSUARB), and EfficiencyOne (E1). Topics focus on DSM cost recovery, energy efficiency, and regulatory analysis.
Filed Electronically
AI summary The document is an electronically filed submission in a Nova Scotia regulatory proceeding involving Demand-Side Management (DSM) programs, cost recovery mechanisms, and utility rate structures. Key entities include Nova Scotia Power (NSP), the Nova Scotia Utility and Review Board (NSUARB), and EfficiencyOne (E1). Topics focus on DSM cost recovery, energy efficiency, and regulatory analysis.
5 Schedule A 6 Electricity Efficiency and Conservation Activities 7 The figure below identifies the scope of savings (4 year Cumulative Annual Energy Savings, Cumulative Annual Peak Demand Savings, Cumulative Annual Energy Savings from Low...
AI summary This section outlines the scope of electricity efficiency and conservation activities, including cumulative annual energy and peak demand savings over a four-year period, with a focus on low-income and equity programs, as well as available demand response capacity.
14 15 Performance Targets Cumulative Annual Net Energy Savings at Generator over the Term (GWh) Cumulative Annual Net Peak Demand Savings at Generator over the Term (MW) Cumulative Annual Energy Savings – Low Income & Equity (GWh) Availabl...
AI summary The table presents performance targets for energy savings and demand response capacity from 2023 to 2026, including cumulative annual net energy savings, peak demand savings, low-income and equity energy savings, and available demand response capacity.
2 Schedule B (Page 2 of 2)
AI summary Schedule B (Page 2 of 2) from a Nova Scotia Utility and Review Board (NSUARB) regulatory proceeding, referencing demand-side management (DSM) and the DSM Cost Recovery Rider (DCRR). Context includes programs like EfficiencyOne (E1) and legislation such as the Public Utilities Act (PUA).
12 The 2024 Payment Schedule will be revised to reflect the carryforward , if any, related to 13 underspend from the 2020-2022 DSM Plan. 1 2 SCHEDULE C 3 4 Performance Requirements 5 I. UARB/NSEB-APPROVED PERFORMANCE TARGETS, THRESHOLDS, A...
AI summary The 2024 Payment Schedule will be revised to account for any carryforward from underspend in the 2020-2022 DSM Plan. Performance targets and indicators are outlined, including energy savings, demand response capacity, and reporting requirements for the UARB/NSEB.
EFFICIENCYONE 2023-2026 DSM PLAN Supply Agreement Schedules 1 2 3 SCHEDULE E 4 5 EECA PLAN 6 7 [Subject to approval by the UARB/NSEB] 8 9 10 11 Appendix D Amended 2023-2026 Supply Agreement Schedules - Redline
AI summary This document outlines the supply agreement schedules for the EfficiencyOne 2023-2026 DSM Plan, which is subject to approval by the UARB/NSEB. It includes the EECA Plan and is part of an amended agreement with redline changes.
6 Electricity Efficiency and Conservation Activities The figure below identifies the scope of savings (3 4 year Cumulative Annual Energy Savings, Cumulative Annual Peak Demand Savings, Cumulative Annual Energy Savings from Low Income & Equ...
AI summary The text outlines the scope of savings from electricity efficiency and conservation activities over a three-to-four-year plan, including cumulative annual energy and peak demand savings, as well as demand response capacity, with a focus on low-income and equity programs.
13 14 Performance Targets Cumulative Annual Net Energy Savings at Generator over the Term (GWh) Cumulative Annual Net Peak Demand Savings at Generator over the Term (MW) Cumulative Annual Energy Savings – Low Income & Equity (GWh) Availabl...
AI summary The table outlines performance targets for energy savings and demand response capacity from 2023 to 2026, including cumulative annual net energy savings, peak demand savings, and available demand response capacity.
Schedule B (Page 1 of 2)
AI summary Schedule B of a Nova Scotia regulatory proceeding outlines a document involving energy efficiency, demand response, and cost recovery mechanisms. Key entities include Nova Scotia Power, EfficiencyOne, and regulatory bodies like the NSUARB. Topics focus on DSM programs, benefit/cost ratios, and compliance with the Public Utilities Act.
The figure below identifies the Contract Price to be paid by NSPI allocated for each year of the Term. 2023 2024 2025 2026 Total UARB /NSEB Approved Investment Amount 53,000,000 57,500,000 62,500,000 63,750,000 236,750,000 173,000,000 Refu...
AI summary The document outlines the Contract Price to be paid by Nova Scotia Power Inc. (NSPI) for each year of the Term, including approved investment amounts, refunds, and net contract amounts. It also mentions that any surplus realized by EfficiencyOne in meeting Performance Targets will be refunded to NSPI, with a reference to a 2019 surplus to be refunded in 2023.
E-2Savings Verification Review - Gil Peach
43 passages
This report, conducted by H. Gil Peach & Associates LLC, for the Nova Scotia Energy Board, verifies electricity energy savings and demand reduction for 2024. It reviews measurements, models, and estimates provided by Econoler, the Independ...
AI summary This report, conducted by H. Gil Peach & Associates LLC for the Nova Scotia Energy Board, verifies energy savings and demand reduction estimates for Efficiency Nova Scotia's DSM programs. It reviews evaluations by Econoler and provides recommendations for adjustments if necessary, with a focus on impact evaluation and limited comments on other aspects.
II. How Savings Verification fits in the Policy, Planning, Program Cycle It can be useful in approaching evaluation to review how the Policy, Planning and Program cycle works and where evaluation and savings verification fit.[2](#page-7-3)...
AI summary This section explains how Savings Verification is integrated into the Policy, Planning, and Program cycle for Demand Side Management (DSM). It outlines the role of Efficiency Nova Scotia and Econoler in evaluation and verification, noting the Residential Behavior Program as new in 2024. The cycle includes steps like Independent Evaluation and Savings Verification, which feed into program planning.
III. Resource Acquisition and Other Evaluation Frameworks Efficiency Nova Scotia programs are almost entirely resource acquisition programs that treat saved energy as equivalent to generated energy. This is the original framework for the e...
AI summary Efficiency Nova Scotia's energy efficiency programs are evaluated under a resource acquisition framework, equating saved energy to generated energy. Econoler's approach is highlighted, with mentions of evolving evaluation frameworks and market transformation. DSM evaluation types (impact, process, market) are discussed.
V. Summary of Evaluated Savings Results Evaluation of demand savings, first year energy savings, and lifetime net energy savings at the generator as reported by the Evaluator are summarized in this section.
AI summary This section summarizes the evaluation of demand savings, first-year energy savings, and lifetime net energy savings at the generator level, as reported by the Evaluator. These metrics are central to assessing the effectiveness of energy efficiency initiatives.
1. Evaluated Net Demand Reduction at the Generator In 2024, Efficiency Nova Scotia operated two residential programs (Residential Efficient Product Rebates and Existing Residential) with nine components; three BNI (business, non-profit and...
AI summary In 2024, Efficiency Nova Scotia operated multiple residential and business energy efficiency programs with various components, including residential rebates, business incentives, and demand response initiatives.
Table 1: Net Demand Reduction at the Generator. Residential Demand Reduction (MW) Appliance Retirement 0.337 Rebate Programs Instant Savings 2.428 2.765 Affordable Multifamily Housing 0.570 Affordable Single-Family Housing 2.089 Existing R...
AI summary This table presents net demand reduction at the generator for various residential and business programs in Nova Scotia. It includes contributions from rebate programs, appliance retirement, and energy efficiency initiatives, with a total demand reduction of 30.689 MW.
Table 2: First Year and Lifetime Net Energy Savings at the Generator. 2024 Net Evaluated Energy Savings (at Generator) Program Residential Annual Evaluated Net Savings (GWh) Lifetime E ifetime Evaluated Net Savings (GWh) Residential Effici...
AI summary Table 2 presents the first-year and lifetime net energy savings at the generator for various residential and business programs, including the Appliance Retirement Program, Instant Savings, and Strategic Energy Management. The data highlights the contributions of different initiatives to overall energy efficiency and savings.
3. Sector Contributions In Figure 4, BNI contributes net peak demand savings at the generator of about 45%; about 55% is contributed from the Residential sector. 19 The whole numbers shown on the bars in [Figure 3](#page-17-1) can be consi...
AI summary The text discusses sector contributions to net demand reduction and energy savings. BNI contributes approximately 45-55% of peak demand savings, first-year, and lifetime net energy savings, with the residential sector contributing the remaining percentage.
VI. Evaluation Effort for 2024 Programs As shown in [Table 3,](#page-20-0) the Econoler impact evaluation work was substantial, including sixteen impact evaluations. There are nine residential evaluations, of which six are comprehensive an...
AI summary The document discusses the evaluation effort for 2024 programs, highlighting the comprehensive and condensed impact evaluations conducted by Econoler. It outlines the types of evaluations, their purposes, and the methodology used, including baseline definitions, savings calculations, and net-to-gross ratios. The evaluation plan for Program Year 2024 is referenced in Table 3.
Table 3: Planned Evaluations for 2024 Programs. 2024 Portfolio Evaluation Plan D Impact Ev Impact Evaluation Market Program Component Comprehensive Condensed Evaluation Evaluation Residential Appliance Retirement Х Instant Savings Х Afford...
AI summary Table 3 outlines the planned evaluations for 2024 programs, including various residential and business energy efficiency initiatives. It includes evaluations such as the Appliance Retirement Program, Instant Savings, and Strategic Energy Management. The table also references supporting reports from Econoler and Efficiency One.
VII. Savings Verification Approach The savings verification review was conducted as follows: - We focus on the "installed" annual energy savings and demand reductions. These are the annualized value of savings and demand reductions from th...
AI summary The savings verification process focuses on annualized energy savings from installed measures, not actual yearly savings. The review checked methodologies for interaction, free-ridership, and other approaches, and included 93 site visits for the 2024 program year.
IX. General Recommendations SVR24-G-1. The Savings Verification study recommends acceptance of the 2024 evaluation estimates for energy savings and demand reduction except for four programs . These are the Residential Behavior program (6.2...
AI summary The Savings Verification study recommends accepting 2024 energy savings estimates for most programs but excludes four due to evaluation issues. Key concerns include lack of independent evaluation for compressed air projects, insufficient practical significance of savings for residential and demand response programs, and protocol limitations. Recommendations include flagging low-impact programs, improving evaluation transparency, and emphasizing practical significance over statistical significance.
X. Individual Program Component Review There are nine residential programs, four Business, Non-Profit, Institutional programs and two Demand Response programs.
AI summary The document outlines the review of energy programs in Nova Scotia, including nine residential, four business/non-profit/institutional, and two demand response programs, under the ARet, IS, SEM, SBES, DR, and DSM initiatives.
small refrigerator $10 for small freezer Rule Changes. Since 2016 Efficiency Nova Scotia has adjusted the retirement criteria to increase program participation and maintain cost effectiveness: - In 2016 appliance age criteria changed from...
AI summary Efficiency Nova Scotia's Appliance Retirement Program (ARet) has evolved since 2016, with criteria adjustments to boost participation and cost-effectiveness. In 2024, 5,941 appliances were retired, yielding 39% higher energy savings (4.195 GWh) and peak demand reduction (0.598 MW) compared to 2023. Evaluations focused on calculating savings, avoided GHG emissions, and program impact.
B. Instant Savings (IS) The Instant Savings program is one of two components of the Residential Efficient Product Rebates program. Instant Savings is an instant cash rebate program offered to purchasers of energy efficient products, delive...
AI summary The Instant Savings (IS) program, part of the Residential Efficient Product Rebates, offers instant cash rebates for energy-efficient products via retailers and online platforms. In 2024, 395,472 products were sold, with Energy Start LED Fixtures leading sales. Energy savings rose 73% to 26.884 GWh, and peak demand savings reached 2.955 MW. A 2025 phase-out of LED rebates was announced. The program's evaluation focuses on energy savings, GHG reductions, and market impact.
Evaluator Findings. The Evaluator reported the following key Instant Savings findings: - Instant Savings exceeded both 2024 planned net electrical energy and peak demand savings of 12.544 GWh and 1.680 MW, respectively. - 2024 net electric...
AI summary The Evaluator found that Instant Savings exceeded 2024 energy and peak demand targets by 77% and 45%, respectively, with LED products driving 69% of savings. Non-lighting product savings rose 17% YoY, and free ridership for LEDs dropped to 39%. Evaluated savings were 16-10% higher than Efficiency Nova Scotia's tracked values. No new recommendations were provided.
E. Residential Efficient Product Installation (EPI)
AI summary The section discusses Residential Efficient Product Installation (EPI), outlining key programs and acronyms relevant to energy efficiency initiatives in Nova Scotia. It lists abbreviations for programs, grants, and infrastructure related to residential energy management and demand-side strategies.
Efficient Product Installation (EPI) The Efficient Product Installation program (EPI) provides free direct installation of energy-efficient products to homeowners and renters, provided through contractors. In 2024 the Evaluator conducted a...
AI summary The Efficient Product Installation (EPI) program provides free installation of energy-efficient products. In 2024, a market evaluation identified new opportunities, including nine jurisdictions scanned. New eligible measures include smart thermostats, lighting products, and air sealing. The program expanded to include electrician-installed measures as E1 phases out lighting initiatives.
rs with Heat Pump Baseline - Appliance Replacement: Refrigerators, Freezers and Dehumidifiers and Clothes Dryers Funding. MHEEP's electrical and non-electrical upgrades are funded by two sources: - 1) Electricity ratepayers fund standard u...
AI summary The Mi'kmaw Home Energy Efficiency Program (MHEEP) is funded by electricity ratepayers and the Province of Nova Scotia. Participation increased by 19% in 2024, with 192 participants. Energy savings per participant decreased by 41% due to new adjustment ratios, while demand reduction rose. A condensed evaluation calculated energy savings, peak demand reductions, and GHG emissions avoided using methods like EUL updates and unitary savings reviews.
I. Residential Behavioral Program (Efficiency Insights) The Residential Behaviour program, "Efficiency Insights", is new for Program Year 2024, and follows a similar previous residential behaviour program, administered by Efficiency Nova S...
AI summary Efficiency Insights, a new 2024 residential behavioral program, provides bi-monthly Home Energy Reports to participants, comparing their energy use with similar homes and promoting energy-saving behaviors. It differs from other DSM programs by focusing solely on behavioral change without physical measures, aiming to drive participation in measure-based efficiency initiatives.
Figure 11: Random Assignment from Usage Groups to Treatment and Control. Customers were partitioned into three energy use subgroups based on energy consumption [(Table 4)](#page-46-1).[33](#page-46-2) Then each energy use group was split i...
AI summary The document describes a study where customers were divided into three energy use subgroups (High, Medium, Low) based on annual kWh consumption. Each subgroup was further split into Treatment and Control groups through random assignment, resulting in six subgroups. The study aims to analyze the impact of energy efficiency programs on residential behavior through a pretest-posttest design.
Table 5: Attrition from March to May 2024. Attrition (March 2024 - May 2024) Energy Use Treatment Group Subgroup March 2024 May 2024 Attrition n % n % n % High 101,273 39% 97,368 41% 3,905 4% Medium 93,233 36% 88,482 37% 4,751 5% Low 66,70...
AI summary Table 5 presents attrition rates from March to May 2024 for both the Treatment Group and Control Group in an energy use study. The data indicates varying attrition percentages across different energy use subgroups, with the Low energy use subgroup showing the highest attrition rate in both groups.
Treatment Group Attrition n % n % n % 97,368 41% 92,268 41% 5,100 5.2% 88,482 37% 83,903 37% 4,579 5.2% 53,459 22% 49,699 22% 3,760 7.0% 239,309 100% 225,870 100% 13,439 5.6% Control Group % n n % n % 17,228 34% 16,284 35% 944 5.5% 9,927 2...
AI summary The document presents attrition rates for the Treatment and Control Groups over time, showing a 5.2% to 7.2% attrition rate across different periods. The data is sourced from various tables in the Econoler Residential Behaviour Evaluation report, and attrition is calculated as the change in the number of households from March through December, divided by the initial number in May.
The reduction of group sizes over time occurs due to several factors. First, there are account closures, for example, due to death of the last person in an elderly household. Second there are ordinary move-outs. According to the evaluator,...
AI summary The text discusses the reduction of group sizes in a program due to account closures, move-outs, and the discontinuation of Efficiency Insights reports for inactive accounts. It also mentions the exclusion of households with solar DSM resources from the program to avoid double counting of energy savings, while other DSM technology options are still supported. The text notes that attrition is normal and that equivalence between treatment and control groups is demonstrated in the 2024 Evaluation report.
emonstrates the equivalence of the treatment and control groups on these variables for each usage group. For completion, there should be an overall comparison of Treatment vs. Control.[36](#page-49-1) Effective Useful Life. The evaluator p...
AI summary The text discusses the Effective Useful Life (EUL) for the Efficiency Insights program, noting that it is counted as one year due to the lack of physical measures and the focus on behavioral energy savings. It references the Uniform Methods Project's assumption that behavioral savings do not persist beyond the first year.
t there are many vendors and trying to acquire this information would be difficult. 36 Econoler Residential Behaviour Report, Existing Residential, Pp. 190-191. 37 Uniform Methods Project, Residential Behavior Protocol , August 2014 [(http...
AI summary The document discusses the challenges in acquiring information from multiple vendors and the methodology for evaluating energy efficiency programs. It highlights the one-year measure life for energy savings and the use of randomized assignment to address free riders in evaluation studies. Econoler's evaluation of the Efficiency Insights program is noted as fully meeting the requirement for independent third-party evaluation.
a, AH, Dawson, J., Gadbury, G, Mestre, LM, Pavela, G, Mehta, T, Vorlad, CJ, Xun, P. and Allison, DB, "Randomization Can Do Many Things – But It Cannot "Fail." Pp. 20-23, Significance , February 2022. 39 Econoler fully meets the requirement...
AI summary The text discusses the evaluation of residential behavior-based energy efficiency programs, referencing protocols from the State and Local Energy Action Network and the Uniform Methods Project. It mentions data preparation steps such as removing outliers and inactive customer accounts as standard practices in evaluation.
by removing outliers, removing any duplicate data, and by removing customer accounts that became inactive due to moving or the customer closing the account. These steps in data cleaning are standard. Opt-Out Accounts. Opted-out accounts (a...
AI summary The residential behavior program aims to encourage participation in energy efficiency programs and influence customer behavior to reduce energy use. While it has a slight promotional effect, its overall effectiveness is nearly zero, as indicated by the Evaluator's analysis of nine similar tests, where only three showed a very tiny effect.
participation in the measure-based programs[.42](#page-52-1) Out of nine similar analyses of possible effect, the Evaluator only claims a (very tiny) effect for three of the nine analyses (one-third). The three claims include for Green Hea...
AI summary The analysis of measure-based programs shows minimal effectiveness, with only three out of nine analyses claiming a very small effect (0.1% for Green Heat and 0.4% for Efficient Products Installation). The Home Energy Assessment program had no claimed effect. The Evaluator emphasizes the importance of including opt-out subjects in energy savings analysis to avoid bias.
47 Initial Calculations of Energy Savings. An initial estimate of energy savings is developed by the Evaluator using a standard difference-in-difference approach. Savings are calculated in two ways, using average daily consumption and usin...
AI summary The text outlines the methodology used to calculate energy savings through a difference-in-difference approach, utilizing both average daily consumption and monthly savings. It also mentions adjustments for participation in other DSM programs and provides equations for cumulative and net energy savings.
Table 8: Evaluated Net Energy Savings. Evaluated Net Energy Savings Energy Use Subgroup Cumulative Energy Savings (GWh) Savings Deductions for Other Programs Net Energy Savings (GWh) High 3.051 0.354 2.696 Medium 2.837 0.044 2.793 Low 0.78...
AI summary Table 8 presents evaluated net energy savings across different energy use subgroups (High, Medium, Low), showing cumulative savings, deductions for other programs, and net savings. Total net energy savings amount to 6.270 GWh.
3. Residential Behaviour Program - Summary The table below summarized our review of the behaviour program evaluation. Green indicates good practice, and red indicates evaluation issues.
AI summary The summary discusses the evaluation of the Residential Behaviour Program, indicating that green signifies good practice and red indicates evaluation issues.
Table 9: 2024 Residential Behavior Program - Summary. 2024 Residential Behavior Program - Summary Program Setup The basic program design "Separate Sample Pretest-Postest" or "Difference in Differences" design is sound. The choice of an opt...
AI summary The 2024 Residential Behavior Program uses a 'Difference in Differences' design with opt-out and random assignment. Customers are grouped into high, medium, and low energy use subgroups. While the methodology is deemed reasonable, the selection of cutoffs for subgroups should be clearly described.
e program be aligned to the most recent building codes (NECB 2020) which are adopted in April of 2025. This review strongly supports this (New Construction Recommendation #7) evaluator recommendation. Custom/Overall . Overall, net evaluate...
AI summary The BNI Custom Incentives Program's alignment with NECB 2020 is recommended. Evaluation issues include protocol non-compliance for compressed air leakage detection, invalid savings patterns, and reliance on inaccurate ultrasonic leak detectors. The Uniform Methods Protocol (UMP) is cited as the standard for Demand Side Management (DSM) evaluations.
L. BNI Strategic Energy Management (SEM) Strategic Energy Management (SEM) is an approach for integrating energy management into business practice – so that a focus on continually advancing energyefficiency becomes an integral aspect of wo...
AI summary Strategic Energy Management (SEM) integrates energy efficiency into workplace practices, inspired by Japanese Kaizen. In 2024, SEM saw a 32.4% increase in tracked savings, driven by two major participants, with 53% of savings from compressed air leak repairs. The program exceeded 2024 targets by 6% in energy savings (4.478 GWh) and 14% in peak demand reduction (0.537 MW).
M. BNI Small Business Energy Solutions Program (SBES) Small Business Energy Solutions (SBES). SBES is available to businesses that use less than 350,000 kWh annually. There are two paths within the program, the audit path, and the do-it-yo...
AI summary The SBES program in Nova Scotia serves small businesses with annual usage under 350,000 kWh, offering audit and DIY paths. In 2024, 493 projects were completed, with 89% on the DIY path. Energy savings increased by 46% (10.854 GWh) and demand reduction by 45% (2.155 MW). Evaluation methods included audits, desk reviews, and a non-participant spillover survey, which found no significant results, suggesting a need for larger samples.
N. Demand Response (DR) There are two demand response programs, Residential Demand Response and Business-Nonprofit-Institutional (BNI) Demand Response. Demand response concerns capacity (Watts, kW, MW, GW) rather than energy (kWh, GWh). Th...
AI summary Nova Scotia's Demand Response (DR) programs include Residential and BNI (Business-Nonprofit-Institutional) DR, focusing on capacity reduction rather than energy savings. Participants totaled 353 (residential) and 76 (BNI) in 2024. Events are triggered by Nova Scotia Power to reduce load during peak periods, with savings measured in watts/kW.
1. Residential Demand Response (Eco Shift Pilot Pathway) For Residential Demand Response (DR), Efficiency Nova Scotia created a tracking sheet. The Residential DR tracking sheet is limited to a spreadsheet with participant raw thermostat a...
AI summary Efficiency Nova Scotia's Residential Demand Response (DR) evaluation focused on Mysa thermostats due to data limitations. A regression model predicted hourly energy use, comparing it to actual data to quantify DR capacity. Analysis included 199 participants, with recommendations to repeat the 2025 evaluation for accuracy. Other devices like EV chargers were excluded due to data issues.
2. BNI DR For BNI, the Evaluator first reviewed Efficiency Nova Scotia BNI tracking sheets to ensure consistency, resulting in a small correction (magnitude 2%-3%) to Efficiency Nova Scotia tracking values. By agreement between Efficiency...
AI summary BNI DR capacity calculation involves corrections to Efficiency Nova Scotia tracking sheets, event-based capacity determination (Dec-Feb, excluding weekends/holidays), participant classification for morning/evening events, and whole-house AMI data analysis. Evaluated results show 8.034 MW for BNI DR and 0.057 MW for Residential DR, with methodologies deemed logical and complete.
Recommendations SVR2024-Demand Response – 13 . In the next evaluation, include an analysis of the relative importance or lack of importance to the possible capacity shortfall problem to Nova Scotia Power, the roles of the load research sho...
AI summary The document recommends evaluating Demand Response (DR) programs' impact on Nova Scotia Power's capacity shortfall, clarifying their practical benefits beyond learning experiences, and justifying their business case. It critiques DR programs for minimal kW demand reduction and calls for analysis of whole-home vs. device-level approaches in residential DR. A citation to Econoler's report is included.
B. Program Specific Recommendations There are recommendations for only five of the program evaluations, Residential Behavior, BNI Efficient Product Rebates, the compressed air leak detection part of BNI Custom Incentives, and the two Deman...
AI summary Recommendations are provided for five programs: Residential Behavior, BNI Efficient Product Rebates, BNI Custom Incentives (compressed air leak detection), and two Demand Programs (Residential and BNI). Other programs lack evaluation issues. Key focus areas include program-specific evaluations and demand-side initiatives.
4. BNI Demand Reduction Programs SVR2024-Demand Response – 13 . In the next evaluation, include an analysis of the relative importance or lack of importance to the possible capacity shortfall problem to Nova Scotia Power, the roles of the...
AI summary The text requests an evaluation of BNI Demand Response programs, emphasizing the need to analyze their impact on Nova Scotia Power's capacity shortfall, clarify their practical benefits, and justify their business case. It criticizes the programs' weak demand reduction effects and calls for a comparison of whole-home vs. device-level approaches in residential analysis.
iewDoc.aspx?DocRefId=%7B7C7408AE-835B-4EEF-BBB2-5650390C75F5%7D)[4EEF-BBB2-5650390C75F5%7D](https://documents.dps.ny.gov/public/Common/ViewDoc.aspx?DocRefId=%7B7C7408AE-835B-4EEF-BBB2-5650390C75F5%7D) Gellings, Clark W. & John H. Chamberli...
AI summary The references section lists academic and technical publications on energy efficiency, demand-side management, and energy savings methodologies. Key sources include works by Gellings and Chamberlin, reports from the Lawrence Berkeley National Laboratory, and the Uniform Methods Project. These materials support analyses on energy programs, savings verification, and policy frameworks.
E-8E1 (Synapse) RIR 1 to 36 - Redacted
46 passages
M12249 – EfficiencyOne (E1) Application for Approval of the 2026 DSM Extension 1 Request IR-01: 2 3 Page 1 of the Evidence of EfficiencyOne ("the Evidence") states, "2023 and 2024 together saw 4 energy savings of 304.3 GWh and demand savin...
AI summary EfficiencyOne (E1) responds to questions regarding the 2026 DSM Extension application, clarifying that demand savings of 58.3 MW from 2023 and 2024 include only energy efficiency measures, not demand response. The unit for demand savings should be 'MW', not 'GW'.
12 Insights 2023 Actuals 2024 Actuals 2025 Forecast 2026 DSM Extension 2023-2026 Carbon Emissions Avoided First-Year CO₂e Savings (kt) 73 82 38 26 218 Lifetime CO₂e Savings (kt) a 339 350 207 134 1,030 Portfolio Summary First-Year Energy S...
AI summary The document presents data on energy efficiency and demand response programs, including carbon emissions avoided, energy savings, investment amounts, and cost metrics from 2023 to 2026. It also includes insights into the split of investments between RES and BNI and the net benefits of these programs.
1 10 11 12 13 14 15 17 18 19 16 b Savings are applicable to dedicated low-income and equity program components (Affordable Multi-Family Homes, Affordable Single-Family Homes, Mi'kmaw Home Energy Efficiency Project) & lt;sup>c Investment in...
AI summary The text outlines savings and investment components for low-income and equity programs, including definitions for first-year and lifetime unit costs for energy efficiency (EE) and Enabling Strategies. It also explains how net benefits are calculated for demand response (DR) and energy efficiency programs, using the 2023-2025 DSM Plan as a reference for avoided costs.
2026 DSM Extension Application DSMAG Session 22 April 2025
AI summary The 2026 DSM Extension Application is under review by the DSMAG during a session on 22 April 2025. The proceeding involves EfficiencyOne (E1), Nova Scotia Power (NSP), and the Demand Side Management Advisory Group (DSMAG), focusing on extending demand-side management programs.
2026 DSM Extension Application to the Date Filed: June 25, 2025 REDACTED Synapse IR-04, Attachment 1, Page 3 of 19 Energy Board - Developed as a continuation year of the 2023-2025 DSM Plan per the legislation and not a stand-alone DSM Plan...
AI summary The 2026 DSM Plan extension application aligns with the 2023-2025 plan, using updated assumptions and existing NSUARB-approved TRC tests. E1 proposes a streamlined regulatory process and seeks approval for adjusted performance targets. No new resources like solar-PV will be introduced.
2026 DSM Extension Application to the Energy Board Date Filed: June 25, 2025 REDACTED Synapse IR-04, Attachment 1, Page 4 of 19 - In E1's 2026 Extension Application we plan to request Energy Board approval of 2026 targets. These targets ar...
AI summary E1's 2026 DSM Extension Application seeks Energy Board approval for targets aligning with UARB's 2023-2025 approvals, including 116.0 GWh annual energy savings, 18.9 MW demand savings, and 4.0 GWh from low-income programs. No new performance targets are proposed.
Carbon Emissions Avoided REDACTED Synapse IR-04, Attachment 1, Page 5 of 1 First-Year CO 2 e Savings (kt) 26.1 Lifetime CO 2 e Savings (kt) 134.3 Portfolio Summary (2026) First-Year Energy Savings (GWh) 116.0 E Peak Demand Savings (MW) 18....
AI summary The table presents key metrics related to carbon emissions avoided and energy efficiency programs, including first-year and lifetime CO2e savings, energy and demand savings, investment figures, and cost-benefit analysis for a portfolio summary in 2026.
-2.6 60/40 Lifetime Benefits ($ million) c DR Investment % Split (RES/BNI) b Net Benefits ($ million) d
AI summary The text presents a table with columns for Lifetime Benefits, DR Investment % Split, and Net Benefits, with a reference to a picture on page 10. The data appears to be related to demand response (DR) investment and its financial impacts.
Date Filed: June 25, 2025 REDACTED Synapse IR-04, Attachment 1, Page 6 of 19 2026 Investmenta ($ million) Lifetime Benefitsb ($ million) First Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak EE Demand Savings (MW) Available DR...
AI summary The document provides a detailed breakdown of investment and benefits for various energy efficiency (EE) and demand response (DR) programs in Nova Scotia for 2026. It outlines program-specific investments, lifetime benefits, energy savings, and associated costs, with a focus on residential, business, non-profit, and institutional programs.
Support for Residential Customers – Efficient Products Rebates
AI summary The document discusses Nova Scotia Power's (NSP) Efficient Products Rebates program, administered by EfficiencyOne (E1), aimed at supporting residential customers through energy-efficient product incentives. The Demand Side Management Advisory Group (DSMAG) recommended the program, which must pass the Total Resource Cost Test (TRC) and Program Administrator Cost Test (PAC) for approval.
Efficient Product Installation - Added new electrician-installed measures in late 2024, with an emphasis on auto-enrolling eligible devices in the Eco Shift demand response program component. - Discontinued the direct installation of LED l...
AI summary In late 2024, new electrician-installed measures were added with auto-enrollment in the Eco Shift demand response program. LED lamp installations were discontinued in mid-2025 due to baseline shifts and saturation. A 2026 program investment of $5.3 million will support installing over 49,000 products.
Support for Residential Customers – Existing Residential (con't)
AI summary The document section continues discussing support for existing residential customers, involving EfficiencyOne, Nova Scotia Power, and the Demand Side Management Advisory Group. Key considerations include the Total Resource Cost Test and Program Administrator Cost Test.
Residential Behaviour • For the 2026 DSM Extension, Residential Behaviour will follow the same approach as outlined in the approved 2023-2025 Plan. In 2026, a program investment of $2.1 million will support 205,000 homeowners.
AI summary The 2026 DSM Extension will use the same approach as the approved 2023-2025 Plan, with a $2.1 million investment supporting 205,000 homeowners.
Affordable Multi-Family Homes • Affordable Multi-Family Housing will follow the same approach for the 2026 DSM Extension as outlined in the approved 2023-2025 Plan. In 2026, a program investment of $1.8 million will support 88 customer pro...
AI summary The Affordable Multi-Family Housing program will extend its 2023-2025 DSM Plan approach to 2026, allocating $1.8 million to support 88 customer projects. This continuation emphasizes sustained investment in multi-family housing initiatives under the approved demand-side management framework.
Support for Business Customers – Custom & Strategic Energy Management - Custom provides large business, non-profit and institutional participants with technical assistance and financial incentives to help reduce electricity consumption and...
AI summary The document outlines Custom and Strategic Energy Management (SEM) programs by EfficiencyOne (E1) to help businesses reduce energy use. Custom offers technical and financial support for projects, while SEM focuses on operational changes. E1 also continues industrial management. In 2026, $9.8M will support 170+ Custom projects and $0.9M for SEM.
Support for Residential Customers– Demand Response - Residential Demand Response will follow the same approach for the 2026 DSM Extension as outlined in the approved 2023-2025 Plan with an expansion from the number of customers from 2025....
AI summary Residential Demand Response for 2026 will follow the 2023-2025 Plan's approach with an expansion in customer participation. E1 will implement Eco Shift DR pathways, including smart thermostats and electric water heater controllers, with annual payments to participants and a program investment of $4.0 million to support over 10,000 customers.
Support for Business Customers – Demand Response - The BNI DR program component offers financial incentives to BNI customers for the DR capacity made available during peak events called by NS Power, aiming to reduce their electric load dur...
AI summary The BNI DR program provides financial incentives to customers for reducing electric load during peak events called by NSP. The 2026 DSM Extension will follow the 2023-2025 Plan's approach, focusing on Curtailment and Commercial Batteries, with annual payments based on performance during DR events.
Support for Business Customers – Demand Response (con't) - Eco Shift pilot, including: - DLC smart thermostats: utility control of smart thermostats (mini-split heat pumps, central heat pumps, and electric baseboards). E1 has included a br...
AI summary The Eco Shift pilot under E1 includes demand response initiatives like smart thermostats, water heater controllers, EV managed charging, and battery control. Participants receive annual payments and upfront incentives. A 2026 investment of $2.6 million aims to support over 400 customers through these programs.
Enabling Strategies There are three Enabling Strategies programs: Education & Outreach; Development & Research; and Other Enabling Strategies. In 2026, investment in these programs at $7.0 million is aligned with the 2025 Forecast. Educati...
AI summary Three Enabling Strategies programs (Education & Outreach, Development & Research, Other Enabling Strategies) with investments of $7.0M in 2026, aligned with the 2025 Forecast. Education & Outreach focuses on community outreach, diverse communities, partnerships, and green schools. Development & Research includes innovation, market research, heat pump water heater pilot, and data analytics.
Enabling Strategies (con't) Other Enabling Strategies – includes DSM Plan Development & Reporting, Stakeholder Engagement & Other Regulatory Initiatives – Investment of $3.0 million. Areas of focus includes: - Development of the 2027-2031...
AI summary A $3.0 million investment in enabling strategies includes DSM plan development, stakeholder engagement, and regulatory initiatives. Key activities involve creating the 2027-2031 DSM Resource Plan, collaborating with DSMAG, participating in integrated resource planning under Bill 404's Independent Energy System Operator, and completing 2026 DSM Extension reporting requirements.
Summary and Next Steps - DSMAG session is scheduled for April 22nd prior to the April 30th filing date. - Work continues on the new BCA, tentatively scheduled to be filed mid-May. - E1's intention is to file the 2027-2031 DSM Plan in the f...
AI summary The DSMAG session is scheduled for April 22nd, with the new BCA filing planned for mid-May. E1 intends to submit the 2027-2031 DSM Plan in Q1 2026. The proceeding includes M12249, E1's application for the 2026 DSM Extension.
E1 Responses to Synapse Energy Economics (Synapse) Information Requests NON-CONFIDENTIAL Request IR-05: Page 15 of the Evidence states, "In its decision approving the 2023-2025 DSM Plan, the NSUARB (as it then was) made note of the fact th...
AI summary The document discusses E1's response to Synapse's request regarding avoided cost calculations for the DSM Plan. It notes that the 2022 Evergreen IRP results were incorporated into the 2026 DSM Extension, with carbon costs now embedded in energy avoided costs, unlike in the 2023-2025 Plan. The Board directed the DSMAG to address climate goals in avoided cost calculations for the 2026-2028 Plan.
E1 Responses to Synapse Energy Economics (Synapse) Information Requests NON-CONFIDENTIAL 1 (c) The avoided costs used to calculate the Lifetime Benefits (TRC and PAC), TRC ratios and PAC 2 ratios for 2026 in the 2026 DSM Extension were dev...
AI summary EfficiencyOne (E1) outlines that Nova Scotia Power (NSP) provided avoided cost data for TRC and PAC calculations to the DSMAG in 2024 and 2021, using the 2022 and 2020 IRP updates respectively. Updated transmission/distribution avoided costs were shared in 2024, developed outside the 2022 IRP modelling. References to matter numbers M12249 and M10473 are included.
E1 Responses to Synapse Energy Economics (Synapse) Information Requests NON-CONFIDENTIAL 1 Request IR-06: Page 17 of the Evidence states, "Starting in 2025, the program component transitioned to year-round set rebates on all qualifying pro...
AI summary The document discusses changes in E1's rebate program starting in 2025, including the transition to year-round rebates and the discontinuation of point-of-sale rebates for LED lamps and fixtures. These changes are expected to reduce energy savings and increase unit costs.
(a) Please provide the Investment, Lifetime Benefits (TRC), Lifetime Benefits (PAC), First Year Energy Savings, Lifetime Energy Savings, Peak EE Demand Savings, Total Resource Cost Test (TRC), and Program Administrator Cost Test (PAC) for...
AI summary The text requests detailed financial and energy performance data for lighting measures in the Instant Savings and Efficiency Product Installation program components, including investment, energy savings, and cost tests, across multiple years. It also asks for information on other program components affected by the phase-out of lighting measures.
E1 Responses to Synapse Energy Economics (Synapse) Information Requests NON-CONFIDENTIAL Energy Savings, Lifetime Energy Savings, Peak EE Demand Savings, Total Resource Cost Test (TRC), and Program Administrator Cost Test (PAC) for lightin...
AI summary The document provides responses to information requests from Synapse Energy Economics regarding energy savings, peak demand savings, and cost tests for lighting measures in various programs. It includes data for 2023, 2024, and 2025 forecasts.
and 2026 Plan Extension. - date = motant dating = grang Instant Savings - Lighting 2023 Actuals 2024 Actuals 2025 Forecast 2026 Exter Investment ($M) $1.0 $3.10 $0.20 N/A Lifetime Benefits ($M) a $ 1.23 $ 2.12 $ 0.16 N/A First Year Energy...
AI summary The table provides financial and performance data for the Instant Savings - Lighting program under the 2026 Plan Extension, including investment, benefits, energy savings, and demand savings across years 2023 to 2026.
Table 2: Efficient Products Installation – Lighting Efficient Product Installation - Lighting 2023 Actuals 2024 Actuals 2025 Forecast 2026 Extension Investment ($M) $0.9 $0.9 $0.7 N/A Lifetime Benefits ($M) a $ 1.85 $ 0.67 $ 0.27 N/A Light...
AI summary Table 2 outlines the Efficient Products Installation – Lighting program's investment, benefits, and energy savings for the years 2023 to 2026. It also notes that EfficiencyOne cannot retroactively perform cost-effectiveness testing due to a lack of verified customer and utility avoided costs.
E1 Responses to Synapse Energy Economics (Synapse) Information Requests NON-CONFIDENTIAL Efficient Product Installation - Lighting 2023 Actuals 2024 Actuals 2025 2026 2023 Actuals 2024 Actuals Forecast Extension Program Administrator Cost...
AI summary The document provides a table related to the Efficient Product Installation - Lighting program, including data on the Program Administrator Cost Test (PAC) and the Lighting Weighted Average Measure Life for the years 2023 to 2026. It mentions the net present value of avoided costs from the 2023-2025 DSM Plan.
(a) The lifetime benefits of Demand Response for the year 2026 by program component are as follows: Demand Response (DR) Program Lifetime Benefits ($ million) Residential Demand Response $0.9M BNI Demand Response $2.3M DR Program Total $3....
AI summary The lifetime benefits of Demand Response (DR) programs in 2026 are outlined, with residential and BNI DR programs contributing $0.9M and $2.3M respectively. These benefits are expressed as avoided costs, including capacity, transmission, and distribution, consistent with the Total Resource Cost Test (TRC) and Program Administrator Cost Test (PAC) in Nova Scotia.
M12249 – EfficiencyOne (E1) Application for Approval of the 2026 DSM Extension - 1 transmission, and distribution, resulting from operating DR in 2026 (one year of benefits)." - 2 This also applies to the table end note in Table 5, Appendi...
AI summary The document pertains to EfficiencyOne's (E1) application for approval of the 2026 DSM Extension, referencing transmission and distribution benefits resulting from operating DR in 2026, as noted in Table 5, Appendix A.
6 (a) EfficiencyOne (E1) included demand response (DR) for the first time in its 2023-2025 DSM 7 Plan. Through implementation, E1 has encountered the following challenges with launching 8 a new DSM resource in an emerging space: • Evolving...
AI summary EfficiencyOne (E1) included demand response (DR) for the first time in its 2023-2025 DSM Plan, but faced challenges such as evolving market understanding, complex value propositions, technology enablement, and balancing simplicity with regulatory requirements. This is related to the application for approval of the 2026 DSM Extension (M12249).
• Competing Priorities: In both residential and business contexts, DR competes with other operational or household concerns. When demand events are not integrated into routine processes, participation may decline.
AI summary In both residential and business settings, demand response (DR) initiatives face competition from other operational or household priorities. Participation in DR programs may decline if demand events are not seamlessly integrated into daily routines.
BNI Curtailment is not included because it is not a device-based program. All device enrollment is attributed to the Residential DR program component. 7 (e) As shown in Table 1, the devices that fell below planned enrollment by the end of...
AI summary The document discusses the exclusion of BNI Curtailment from device-based programs and attributes device enrollment to the Residential DR program. It references Table 1, which lists devices that fell below planned enrollment by the end of the 2023-2025 period, and cites E1's IR Response. The matter number M12249 is noted, relating to EfficiencyOne's application for approval of the 2026 DSM Extension.
12 Table 1: Green Heat - Heat Pumps Green Heat - Heat Pumps 2023 Actuals 2024 Actuals 2025 Forecast 2026 Extension Investment ($M) $0.3 $0.4 $0.2 n/a First Year Energy Savings (GWh) 1.8 0.7 0.4 n/a Lifetime Benefits ($M)a $ 6.3 $ 3.7 $ 1.5...
AI summary Table 1 presents data on the Green Heat - Heat Pumps program, including investment, energy savings, and lifetime benefits from 2023 to 2026. The table highlights a decline in investment and energy savings over time, with no data provided for the TRC and PAC metrics.
b EfficiencyOne (E1) is not able tot retroactively perform cost-effectiveness testing. E1 does not have verified customer costs or verified utility avoided costs, both of which are required to retroactively perform cost-effectiveness scree...
AI summary EfficiencyOne (E1) is unable to perform retroactive cost-effectiveness testing due to a lack of verified customer costs and utility avoided costs. The 2026 DSM Extension application is referenced, and lifetime ratepayer benefits are calculated based on avoided costs from the 2023-2025 DSM Plan.
7 (b) Please refer to part (a) of this IR response. 2 M11437, E1 Q3 2023 DSM Report, Attachment 2, November 27, 2023.
AI summary The text refers to part (a) of the IR response and cites a document related to the 2023 DSM Report by E1, Attachment 2, dated November 27, 2023.
M12249 – EfficiencyOne (E1) Application for Approval of the 2026 DSM Extension 1 Available capacity achieved through demand response, on the other hand, refers to the 2 amount of load reduction that can be achieved during peak periods by t...
AI summary The document discusses EfficiencyOne's (E1) application for approval of the 2026 DSM Extension, focusing on the definitions and calculations of New Capacity and Available Capacity in demand response programs. It includes a request for clarification on these terms and their relation to E1's 2025 forecasts.
1 Table 1: E1 2026 DSM Extension: Enabling Strategies - Regulatory Affairs Estimates EfficiencyOne 2026 DSM Extension Enabling Strategies - Regulatory Affairs 2026 Activities 2026 Estimates Development of 2027-2031 DSM Plan & Compliance wi...
AI summary The text presents a table outlining the estimated costs for the 2026 DSM Extension, including activities such as the development of the 2027-2031 DSM Plan, compliance with directives, regular DSM matters, and support for the Integrated Resource Plan. Costs are categorized into E1 Costs and Flow Through Costs.
6 Table 2: 2026 DSM Extension - Enabling Strategies - Regulatory Affairs, 2023 & 2024 Actual and 2025 Forecast EfficiencyOne 2023-2025 DSM Plan Enabling Strategies - Regulatory Affairs Activities 2023 Actual 2024 Actual 2025 Forecast DSM P...
AI summary The document provides a summary of EfficiencyOne's (E1) 2026 DSM Extension, including regulatory costs and performance targets. It outlines E1's progress towards meeting its 2023-2026 Performance Targets and confirms that E1 is on track to achieve the compliance threshold of 90% or greater for all four targets.
- 1 The percentages detailed on pages 4-5 of Appendix A represent E1's progress towards 2023-2025 - 2 Performance Targets, outlined in the current 2023-2025 DSM Plan. The Performance Targets on - 3 page 47 of Appendix A are for 2023-2026 a...
AI summary The text discusses E1's progress towards performance targets outlined in the 2023-2025 DSM Plan and its extension to 2026, as detailed in Appendix A.
6 Table 2: Low-income and Equity Incidental 2023 and 2024 Demand Savings by Program Component Program Component 2023 Low income & Equity Demand Savings (MW) 2023 Total Program Demand Savings 2023 (MW) 2023 Proportion of Low income & Equity...
AI summary Table 2 provides data on low-income and equity incidental demand savings by program component for 2023 and 2024. It highlights the contribution of various programs such as Efficient Product Installation and Business Energy Rebates to overall demand savings, with varying proportions of low-income and equity savings.
1 Request IR-33: 2 - 3 Please compare the 2026 Extension with the IRP Reference Plan in terms of energy and demand - 4 savings. 5 6 Response IR-33: 7 - 8 Table 1, below, provides the energy efficiency energy and demand savings, as well as...
AI summary The response to Request IR-33 compares the 2026 DSM Extension with the 2022 Evergreen Integrated Resource Plan (IRP) in terms of energy and demand savings, as well as investment requirements.
12 Table 1: Savings and Investment for 2026 DSM Extension, and for 2026 from the 2022 Evergreen IRP. Savings/Investment 2026 DSM Extension 2022 Evergreen IRP Reference Plan for 2026a Energy Savings (GWh) 116 136 Demand Savings (MW) 18.9 25...
AI summary Table 1 compares energy and demand savings, as well as investment figures, for the 2026 DSM Extension and the 2022 Evergreen IRP Reference Plan. The 2026 DSM Extension shows lower energy and demand savings but slightly lower investment compared to the 2022 Evergreen IRP Reference Plan.
1 Request IR-36: 2 3 Please provide the marketing and outreach strategy plan and quality assurance frameworks for 4 the demand response programs. 5 6 Response IR-36: 7 8 Eco Shift (Residential Demand Response) 9 10 Eco Shift marketing and...
AI summary The response to Request IR-36 outlines the marketing and outreach strategy for the Eco Shift residential demand response program, emphasizing awareness, education, and streamlined enrollment processes. Multiple channels including traditional media, social media, and website promotions are planned to support customer engagement.
Smart Synergy Business Non-Profit and Institutional (BNI) Demand Response) - Marketing and Outreach: The Smart Synergy audience is BNI customers across key verticals in - 4 Nova Scotia. Marketing and outreach are primarily 1-to-1 focused s...
AI summary The Smart Synergy BNI Demand Response program targets Nova Scotia's BNI customers, using AMI data and 1-to-1 outreach to identify demand savings opportunities. Key activities include education, site visits, test events, and post-event feedback collection. Quality assurance involves validating reports and customer insights to refine the program.
E-17Reply Evidence- E1 including Appendix A -Econoler Reply Evidence
54 passages
EfficiencyOne IN THE MATTER OF The Public Utilities Act , RSNS 1989, c 380, as amended - and - IN THE MATTER OF An Application by EfficiencyOne for Approval of the 2026 DSM Extension for Demand-Side Management Activities between Efficiency...
AI summary EfficiencyOne seeks approval for a 2026 DSM extension and amendment to a 2023-2025 purchase agreement with Nova Scotia Power Inc. under the Public Utilities Act. The application is part of a regulatory proceeding (M12249) filed with the Nova Scotia Energy Board on September 4, 2025.
1 1. INTRODUCTION - 2 EfficiencyOne's ("E1") Application for Approval of the 2026 DSM Extension for Demand-Side Management - 3 Activities ("DSM") between E1 and Nova Scotia Power Inc. ("NS Power"), and for Approval of the - 4 Amendment to...
AI summary EfficiencyOne (E1) seeks approval to extend its Demand-Side Management (DSM) services until 2026, aligning with the Nova Scotia Energy Board's (NSEB) new mandate and pending Benefit Cost Analysis (BCA) test (Matter M12282). The application includes an amendment to the DSM Purchase Agreement with Nova Scotia Power Inc. (NS Power). E1 concurs with intervenor findings but addresses limited divergences and relies on Econoler's report for the Peach Report (Matter M12186).
1 2. SYNAPSE - 2 The evidence filed by Synapse makes recommendations in relation to both the DSM Extension, as well as - 3 the upcoming 2027-2031 DSM Plan, which will be subject to its own Board process in the near future. In - 4 this sect...
AI summary Synapse's evidence outlines recommendations for the DSM Extension and the upcoming 2027-2031 DSM Plan. E1 responds to these recommendations, noting ongoing stakeholder consultations and reserving the right to adjust positions based on future input. The 2027-2031 DSM Plan will undergo its own regulatory process once consultations conclude.
Synapse Synapse states: I recommend that the NSEB take the following actions: - Approve the energy efficiency portion of the 2026 DSM Extension as filed. - Approve the demand response portion of the 2026 DSM Extension as filed, and: - o Di...
AI summary Synapse recommends that the NSEB approve the energy efficiency and demand response portions of the 2026 DSM Extension. It also suggests directing E1 to include a demand response offering with a Program Administrator Cost (PAC) of 1.0 or greater in the 2027-2031 DSM Plan and to conduct its own benchmarking study, leveraging Efficiency Canada's research.
DATE FILED: September 4, 2025 Page 2 of 17 M12249, E1 2026 DSM Extension Application, Exhibit E-15, Synapse Evidence, July 17, 2025, page 3, lines 15-24. 1 E1 Response - The two points raised by Synapse with respect to the demand response...
AI summary The document references an exhibit from E1's 2026 DSM Extension Application, highlighting Synapse's concerns regarding the demand response program, specifically related to the 2027-2031 period.
E1 Response - E1 acknowledges the current TRC test as described, and notes Synapse's observation. Evaluating all costs - but only a subset of benefits leads to an imbalanced test that does not reflect participant benefits. E1 seeks - to ad...
AI summary E1 acknowledges the current TRC test but argues it is imbalanced by considering only a subset of benefits. E1 proposes a new BCA test in its pending Application (M12282) to assess DSM Plans by incorporating both utility and non-utility system impacts.
Synapse - Synapse states: - Q. Do you have any concerns that these energy efficiency program components are not cost-effective in the 2026 DSM Extension? A. No. These two program components that are not cost-effective using the PAC serve l...
AI summary Synapse responds to concerns about the cost-effectiveness of energy efficiency program components in the 2026 DSM Extension, stating that these components, which serve low-income customers, are not typically cost-effective due to the need for higher incentives.
1 cost-effectiveness ratios in the 2023-2025 Plan and received approval from the NSEB. Lastly, 2 cost effectiveness is assessed at the portfolio level.3 3 4 E1 Response 5 E1 asserts that program components which serve low-income and equity...
AI summary The document discusses the cost-effectiveness ratios in the 2023-2025 Plan, which were approved by the NSEB. It highlights E1's concern that low-income and equity program components may fall below cost-effectiveness thresholds due to the need for higher incentives. Synapse recommends that NSPI respond to E1's questions regarding August 2024 avoided costs and that the NSEB direct NSPI and E1 to update the 2027-2031 DSM Plan accordingly.
E1 Response E1 supports and accepts Synapse's recommendation that the Board direct NS Power to respond to E1's questions and recommendations on the August 2024 avoided cost updates. The avoided cost input is a significant impact stream con...
AI summary E1 supports Synapse's recommendation for NS Power to address avoided cost updates and suggests establishing a deadline for disclosure to align with E1's 'evergreen' process for BCA impacts in the 2027-2031 DSM Plan. Avoided cost input is critical for DSM resource cost-effectiveness tests.
E1 Response In its response to Synapse IR-08, E1 provided excel spreadsheets showing actual lifetime benefits for energy efficiency, demand response, as well as these two components combined, for the requested years, and explained the limi...
AI summary E1 responded to Synapse's request for actual retroactive benefit-cost data, explaining limitations due to lack of verified customer and utility costs. Synapse recommended including PAC and TRC results in annual reporting, while E1 agreed to report PAC but not TRC due to complexity and cost. E1 proposed reporting PAC results in the 2025 Annual Progress Report.
2.5 COST-EFFECTIVENESS OF DEMAND RESPONSE
AI summary This section discusses the cost-effectiveness of demand response programs, evaluating their economic benefits relative to traditional supply-side solutions. Key considerations include comparative analysis frameworks and regulatory implications for Nova Scotia's energy sector.
Synapse Synapse states: Q: Do you have any concerns with the fact that E1's demand response offerings are not cost-effective? A. Yes. The PAC for the proposed 2026 demand response portfolio is 0.5, which means that the utility system benef...
AI summary Synapse expresses concern that E1's demand response offerings are not cost-effective, citing a Program Assessment Criteria (PAC) of 0.5, which indicates utility system benefits are half of costs. Synapse argues demand response programs should have a PAC ≥1.0 and recommends E1 include such a program in the 2027-2031 DSM Plan.
E1 Response E1 acknowledges the potential for further development within the demand response program. This is a key focus area in E1's discussions with stakeholders in relation to the 2027-2031 DSM Plan, and there are Ibid., page 18, lines...
AI summary E1 acknowledges opportunities to expand demand response programs under the 2027-2031 DSM Plan but contests Synapse's use of advanced jurisdictions as comparators. E1 refuses to commit to a PAC threshold of 1.0 due to legislative constraints, ongoing cost-benefit analysis reviews, and projected cost improvements. Discontinuing the program would hinder grid-constrained initiatives and undermine progress.
Synapse Synapse states: …I also recommend that NSEB direct E1 to conduct its own benchmarking study to inform the development of its cost-effective demand response offering for its 2027-2031 DSM Plan and to leverage Efficiency Canada's for...
AI summary Synapse recommends that the Nova Scotia Energy Board (NSEB) direct EfficiencyOne (E1) to conduct a benchmarking study for its 2027-2031 Demand Side Management (DSM) Plan, leveraging Efficiency Canada's upcoming research to inform cost-effective demand response strategies.
E1 Response E1 acknowledges that conducting a benchmarking study could provide useful information for developing its demand response offerings. Although benchmarking studies are helpful in DSM planning, E1 cautions that benchmarking studie...
AI summary E1 acknowledges the value of benchmarking studies for DSM planning but cautions that jurisdictional differences may limit their applicability. They argue there is insufficient time to conduct a separate study if the Efficiency Canada benchmarking study is not released promptly. E1 commits to using Efficiency Canada's findings if available and to conducting a jurisdictional scan and literature reviews for the 2027-2031 DSM Plan.
Synapse Synapse states: NSPI should provide E1 with sufficient detail about location of the constrained system as of the August 2024 avoided cost update to facilitate this targeting (if NSPI has not already provided this information). E1 s...
AI summary Synapse requests NSPI to provide detailed location data on constrained systems by August 2024 to enable E1 to develop energy efficiency and demand response strategies for the 2027-2031 DSM Plan. E1 must also incorporate benefits from constrained systems into the plan's benefit-cost analysis.
E1 Response In the development of a DSM Plan, E1 relies on several design objectives to guide the decisions that are required during the modelling phase, with one of these design objectives an investment allocation of approximately 50% for...
AI summary E1 explains its investment allocation for the DSM Plan, noting a slight decrease in residential funding from 55% (2023-2025) to 51% (2026 extension), but emphasizes the overall 54% allocation for 2023-2026 remains only 1% lower. E1 plans to consult stakeholders on the 2027-2031 DSM Plan.
Green Energy Green Energy states: Appendix A, Attachment 2 of EfficiencyOne's 2026 Extension Application shows the allocation methods. The 2026 incidental low-income savings assumptions are based on the reported impacts from 2023 and 2024....
AI summary EfficiencyOne's 2026 application uses a new methodology for low-income savings, leading to lower projections compared to 2023-2024. The proceeding recommends revising projections to align with the updated method.
E1 Response E1 submits that this recommendation arises from a different interpretation of E1's evidence. As E1 noted in its response to CA IR-04, there are no differences in low-income and equity allocations methods, assumptions, and formu...
AI summary E1 argues that the recommendation stems from a misinterpretation of its evidence, emphasizing consistency in low-income and equity allocation methods between 2026 DSM Extension estimates and future reported savings (2025+). It asserts that 2023-2024 actuals used for 2026 scaling factors were calculated using identical assumptions and methodologies.
3.3.1 SURVEYS OF LOW-INCOME PROGRAM PARTICIPANTS
AI summary This section discusses surveys conducted on low-income participants in energy programs, focusing on their experiences and feedback. Key entities include Nova Scotia Power Inc. and the Nova Scotia Energy Board, with topics related to program effectiveness and participant engagement.
Green Energy Green Energy states: …I recommend that surveys should be conducted for each of the programs to get a better assessment of the percentage of low-income customers participating in the programs not dedicated to low-income custome...
AI summary The text recommends conducting surveys to assess low-income participation in EfficiencyOne's programs, suggesting that the original allocation methodology may have overcounted savings, while the 2026 proposal might be overly conservative.
Green Energy states: …The Efficient Product Installation program methodology has the same double counting issue that GEEG discussed with EfficiencyOne. It counts all of the known low-income customers plus applies the overall low-income pre...
AI summary Green Energy highlights a double-counting issue in the Efficient Product Installation program methodology, similar to one previously discussed by GEEG with EfficiencyOne. It recommends using overall low-income prevalence for all participants unless the known low-income participant count is higher.
E1 Response E1 will carry out, as part of the 2027-2031 DSM Plan development, a comprehensive review of the residential energy efficiency program offerings. E1 plans to work with the Consumer Advocate, Green Energy, and other stakeholders...
AI summary E1 commits to reviewing residential energy efficiency programs as part of its 2027-2031 DSM Plan, ensuring costs are reasonable and aligned with market conditions. Collaboration with stakeholders like the Consumer Advocate and Green Energy is emphasized, along with referencing Quarterly and Annual Reports for cost drivers.
Appendix A
AI summary Appendix A of the Nova Scotia regulatory proceeding document outlines key acronyms and entities involved in the proceeding, including Nova Scotia Power Inc., the Nova Scotia Energy Board, and methodologies like Benefit Cost Analysis and Total Resource Cost.
Reply Evidence of Econoler M12249 IN THE MATTER OF The Public Utilities Act , RSNS 1989, c. 380, as amended -and- IN THE MATTER OF An Application by EfficiencyOne for Approval of the 2026 DSM Extension for Demand-Side Management Activities...
AI summary Econoler submits reply evidence for EfficiencyOne's 2026 DSM extension and amendment to the 2023-2025 DSM Purchase Agreement with NSP. The evidence focuses on the Residential Behaviour Program, Demand Response, and Compressed Air components.
RESIDENTIAL BEHAVIOUR PROGRAM
AI summary The document outlines the Residential Behaviour Program, focusing on initiatives to modify consumer energy usage patterns. Key entities include Nova Scotia Power Inc. (NSP) and the Nova Scotia Energy Board (NSEB). The program involves Demand Side Management (DSM) strategies and may reference regulatory analyses such as Benefit Cost Analysis (BCA) and Total Resource Cost (TRC).
Introduction Econoler was commissioned by E1 to evaluate E1's 2024 DSM program portfolio, including the Residential Behaviour program component. E1's Residential Behaviour program component, publicly branded as Efficiency Insights, constit...
AI summary Econoler evaluated E1's 2024 Residential Behaviour program (Efficiency Insights), which uses NS Power data and Bidgely's algorithms to generate personalized energy reports for customers. The program aims to reduce electricity consumption through behavioral change, with Econoler conducting a randomized controlled trial to assess its impact.
Reply Evidence The Savings Verification Review of Efficiency Nova Scotia Program Year 2024 Evaluation Results (the "Peach Report") authored by H. Gil Peach & Associates ("the Verifier") for the Nova Scotia Energy Board, and filed on June 5...
AI summary Econoler responds to the Peach Report's evaluation of the Residential Behavioural Program under the EfficiencyOne 2026 DSM Extension Application (M12249), addressing concerns about the program's effectiveness and long-term behavioral impacts.
1. 2024 Residential Behaviour Evaluation Approach and Results The Peach Report states as follows in relation to Econoler's 2024 Independent Evaluation of EfficiencyOne's DSM programs:[2](#page-21-0) This evaluation is well constructed at a...
AI summary The Peach Report evaluates Econoler's 2024 assessment of EfficiencyOne's DSM programs, noting technical adequacy but highlighting flaws in statistical significance and effect size interpretation. The 6.27 GWh first-year effect size is deemed trivial (0.06% of NSP's 2024 system requirement), with large samples undermining statistical validity. The report advocates shifting focus from statistical significance to practical business case assessments.
Econoler Response: Econoler does not agree with the Verifier's evidence respecting large sample sizes and statistical significance. Econoler's approach is fully aligned with two specific industry standards for behaviour programs, both of w...
AI summary Econoler disagrees with the Verifier's evidence on sample size and statistical significance, citing industry standards from SEE Action and NREL's Uniform Methods Project. They argue that RCT with regression analysis is the standard, as used in their 2024 Residential Behaviour Program Evaluation.
ample sizes. Further evidence that large sample sizes do not automatically allow detection of savings lies in the way in which sampling is usually done for energy behaviour programs: [11](#page-24-0) To determine the minimum number of subj...
AI summary The text emphasizes that large sample sizes alone do not guarantee detection of savings in energy behavior programs. It highlights the importance of statistical power analysis to determine appropriate sample sizes and group allocations, aiming for 80-90% statistical power to detect minimum detectable effects.
Econoler Response: Econoler does not agree that due to the effect size at the household level, a savings claim for the program does not make sense. - Behaviour change initiatives are designed to make small, simple changes in how individual...
AI summary Econoler argues that residential behavior programs should claim energy savings if measurable, even with small per-household effects. The program achieved 6.270 GWh savings (0.34%-0.62% annual household consumption), consistent with other jurisdictions. Savings are comparable to E1's LED lamp program (0.113 kWh/day).
4. Causal Effect The Peach Report states as follows in relation to effect size at the household level:[16](#page-26-1) Currently, behavioural RCTs, of which the current program is an example, are black boxes. There is no coherent specifica...
AI summary The Peach Report critiques current behavioral RCTs in DSM programs, emphasizing the need for warrants and causal analysis. It highlights the necessity of evaluating program elements like Home Energy Reports and energy advisor interactions, as well as tracking survey completion and its impact on energy savings.
Econoler Response: Econoler does not agree that behavioural RCTs, and therefore energy behaviour programs, are black boxes and that additional justification is needed to claim savings for the following reasons: - First, behavioural RCTs do...
AI summary Econoler argues that behavioral RCTs are not black boxes, citing theory-informed mechanisms like social norms and personalized feedback. They emphasize that current protocols, including RCTs and meter-based savings estimation, are industry standards and more transparent than engineering models. Econoler disputes the Verifier's stance on program effectiveness.
5. Verifier's Recommendations The Peach Report states the following general recommendation regarding the acceptance of 2024 evaluation results for four program components, including Residential Behaviour:[18](#page-28-0) SVR24-G-1. The Sav...
AI summary The Peach Report recommends accepting 2024 evaluation results for most programs but flags the Residential Behavior and two Demand Response programs. While protocols were followed, savings are statistically significant but lack practical value due to large sample sizes. The Evaluator should have highlighted this discrepancy.
Econoler Response: Econoler disagrees that the 2024 evaluated energy savings for Residential Behaviour should not be accepted and that this program should have been flagged for not producing practical energy savings. As explained in detail...
AI summary Econoler argues that the 2024 Residential Behaviour program's energy savings should be accepted, citing industry-wide use of residential behavior as DSM programs and statistically significant metering data. The Peach Report recommends reclassifying the program as a marketing tool rather than a direct energy-saving initiative due to insufficient household-level savings.
Econoler Response: Econoler disagrees with this recommendation. As previously stated in this reply evidence, E1's Residential Behaviour program should be maintained in E1's DSM program portfolio with associated savings claimed as long as s...
AI summary Econoler opposes the recommendation to discontinue E1's Residential Behaviour program, arguing it aligns with industry standards and should remain in DSM portfolios if statistically significant. They emphasize behavioral programs differ from marketing, focusing on reshaping choices via cognitive biases rather than awareness. The text also references SVR2024-Behaviour-6, highlighting a need for systematic evaluation of household behavior impacts.
Table 1: Jurisdictional Scan of Similar Residential Behaviour Programs Jurisdiction - Organisation Included in the DSM Program Portfolio? Targeted population Proportion of customers in the treatment and control group Impact Evaluation Appr...
AI summary Table 1 presents a jurisdictional scan of residential behavior programs, focusing on Nova Scotia's Efficiency One program. It includes details on the targeted population, evaluation methods, and program savings. The program is part of the DSM portfolio and uses RCT and DiD methods for impact evaluation.
Residential Demand Response description In 2024, Residential DR was composed only of Eco Shift – a residential "bring your own device" offering generating available DR capacity through three pathways: 1) Smart thermostats for electric spac...
AI summary In 2024, Nova Scotia's Residential Demand Response (DR) program, Eco Shift, focused on smart thermostats due to limited participation in other pathways (EVs, batteries). Econoler evaluated DR capacity using regression models on AMI data, aiming to aggregate participant impacts to reduce NS Power's need for new capacity or expensive peak-period electricity purchases.
Business, Non-profit, and Institutional (BNI) Demand Response In 2024, BNI DR was composed solely of the DR Aggregator program component. Through the DR Aggregator program component, E1 hired aggregators to enroll groups of BNI customers c...
AI summary In 2024, BNI Demand Response (DR) relied on the DR Aggregator program, managed by E1 and implemented by Parsons Inc. During events triggered by NS Power, aggregators reduced load via remote control or predefined plans. E1 calculated DR capacity using a baseline load adjusted by same-day factors, with Econoler reviewing project guidelines and adjustment ratios for accuracy.
1. Verifier's Recommendations The Peach Report states the following general recommendation regarding the acceptance of 2024 evaluation results for four program components, including the DR program:[29](#page-36-0) SVR24-G-1. The Savings Ve...
AI summary The Peach Report recommends accepting 2024 evaluation results for four programs except the Demand Response (DR) programs due to their lack of practical significance despite statistical significance. The Evaluator followed protocols but failed to address the issue of large sample sizes, which rendered statistical significance irrelevant for practical value assessment.
Residential DR - › Practical value at the utility system level: The Residential DR program component is not required to generate savings or demand reduction of practical value at the utility system level since it is still in the early stag...
AI summary The Residential DR program is in early stages, focusing on testing new technologies rather than immediate system-level savings. Econoler argues that small household-level reductions aggregate to meaningful capacity, citing examples like thermostats. The Verifier disputes claims of 'very large sample size,' noting only 199 of 272 projects were analyzed, making statistical significance applicable.
BNI DR - › Practical value at the utility system level: The BNI DR program is not required to generate savings or demand reduction of practical value at the utility system level at this stage in the program component's development, since i...
AI summary The BNI DR program's early-stage practical value is acknowledged, with 8.034 MW of available DR capacity in 2024. Econoler argues savings claims are justified despite household-level demand reduction, as the program targets system-level capacity for NS Power. The Verifier disputes the 'very large sample size' claim, noting only 93 projects analyzed.
Conclusion Econoler disagrees that the 2024 evaluated available DR capacity for Residential and BNI DR should not be accepted and disagrees with the recommendation that these program components should have been flagged for not producing pr...
AI summary Econoler disputes the recommendation to flag DR programs, arguing statistical significance, not practical effect size, should validate impact evaluations. The 2024 evaluation used valid sample sizes and followed industry best practices. The Peach Report recommends analyzing DR program importance, roles of NSP and Efficiency Nova Scotia, and clarifying program benefits for utility operations.
Econoler Response: While some of these activities could be supported by the Evaluator, Econoler notes that many of the aforementioned categories of information would most likely have to be provided by NS Power. Econoler also notes that its...
AI summary Econoler clarifies that NS Power is primarily responsible for providing information on program business cases, while Econoler's role as an evaluator does not include assessing these cases. The text also references a regulatory proceeding discussion on residential demand response approaches.
Compressed Air
AI summary The document focuses on a regulatory proceeding related to compressed air systems in Nova Scotia. It references various organizations, programs, and acronyms relevant to energy regulation and efficiency initiatives, though specific arguments or detailed content are not provided in the text.
1. Protocol Issue The Peach Report states as follows in relation to the measurement & verification (M&V) protocol for compressed air leak projects: [31](#page-40-0) […] The Uniform Methods Protocol, provided by the U.S. Department of Energ...
AI summary The Peach Report discusses the M&V protocol for compressed air leak projects, noting that ultrasonic leak detectors are ineffective for quantifying leakage rates due to their reliance on sound correlation rather than direct measurement. The protocol recommends standardized leak-down tests before and after repairs for accurate measurement.
le. Of those jurisdictions, none require that leak-down tests be performed by participants to support savings. A more detailed breakdown of M&V requirements for these jurisdictions is presented below. - › Three jurisdictions[32](#page-42-0...
AI summary The text outlines varying approaches to measurement and verification (M&V) requirements for compressed air leak projects across jurisdictions. Three use ultrasonic devices, three use a leak orifice diameter-to-leak rate table, and one requires SEM program compliance with IPMVP Option C for full-facility data.
4. Maintenance Issue The Peach Report states as follows in relation to the customer's lack of ongoing maintenance of compressed air leaks: [41](#page-44-2) It is not clear why an organization with multiple similar sites located worldwide w...
AI summary The Peach Report criticizes the customer's failure to maintain compressed air leaks, suggesting that corporate policies and existing standards should have addressed the issue without ongoing DSM funding. It references successful integration of practices in other DSM programs and corporate sectors, emphasizing the need for evaluators to review client policies.
Econoler Response: Based on Econoler's experience, in large industrial facilities similar to both sites under consideration, electricity savings generated by compressed air leak repairs may represent only a small share of facility-wide ann...
AI summary Econoler notes that compressed air leak repairs yield minimal electricity savings (3-4%) and are not a corporate priority without DSM programs. Free-ridership is measured via self-report interviews, confirming the two projects likely wouldn't have occurred without the program.
6. Verifier's Recommendations The Peach Report states the following general recommendation regarding the acceptance of 2024 evaluation results for four program components, including compressed air leak projects completed at two sites: [43]...
AI summary The Savings Verification study recommends accepting 2024 evaluation results for most programs but excludes the compressed air part of the BNI Custom Incentive Program due to lack of independent evaluation per the Universal Methods Protocol.
Econoler Response to SVR24-G-1: Econoler disagrees that the 2024 evaluated energy savings for compressed air leak projects completed under the Custom Incentives Program (Custom) should not be accepted. Econoler considers them to have been...
AI summary Econoler argues that the 2024 compressed air leak project energy savings under the Custom Incentives Program are valid, complying with industry standards and using trained technicians. They clarify that the 2024 evaluation included partial claims from prior years and true-up adjustments, following existing reporting practices. The Peach Report recommends aligning the program with UMP protocol requirements.
Econoler Response Econoler disagrees that the M&V requirements for compressed air leak projects submitted through the Custom Retrofit service be adjusted to strictly follow the leak-down method put forth by the UMP, as this method could pr...
AI summary Econoler opposes adjusting M&V requirements for compressed air leak projects under the Custom Retrofit service to strictly follow the UMP's leak-down method, arguing it may be prohibitively costly and limit customer participation. They assert current requirements align with industry standards.
Econoler Response: Econoler investigated the pattern of reported savings for the two sites highlighted by the Verifier in the Savings Verification Report. As explained in detail in Item 3. above, Econoler concludes that the pattern of repo...
AI summary Econoler analyzed savings patterns for two sites, concluding they align with expected leak rates and internal management efforts. The response also recommends excluding clients who block independent evaluators or data access from the Compressed Air program.