E-1Application and Evidence
7 passages
To develop the 2026 rate class spending estimates E1 used the available data from 2022, 2023 and 2024. In the NSUARB's decision on NS Power's Application for the 2025 DSM Cost Recovery Rider (DCRR), E1 was directed to "take notice of the c...
AI summary E1 used data from 2022 to 2024 to develop 2026 rate class spending estimates. The NSUARB directed E1 to address concerns from the Industrial Group in its pending 2025 DSM program application. E1 is committed to transparency and will provide quarterly and annual reports on rate class spending and variances.
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.
span> Attachment 4, NS Power, 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, page 8 - 1 within that class varies widely, a...
AI summary This text discusses the methodology used by NS Power to determine changes in base cost rates due to DSM-induced changes in class usage and total system costs. It highlights differences between the 2023-2025 and 2026 RBIA, including savings and investment levels, avoided costs, study period lengths, and changes to participation methodology.
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.
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.
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.
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.
E-4E1 (IG) RIR 1 to 26
6 passages
Date Filed: June 25, 2025 E1 (IG) IR-07 Page 2 of 2 1 Request IR-08: 2 3 Preamble: At page 6, E1 states it was directed to "take notice of the concerns raised by the 4 Industrial Group and be prepared to address them in its pending applica...
AI summary The Industrial Group raised concerns about unanticipated cost impacts from variances in EfficiencyOne's DSM expenditures by customer class, potentially affecting rate classes. E1 responded by addressing these concerns through strategies developed after reviewing the causality of the issue, particularly in the context of the 2025 DSM Cost Recovery Rider (DCRR) and the 2026-2030 DSM Plan.
1 2) Increased Demand for Support from E1 2 E1 identified that after the lingering effects of the pandemic, there was an increased 3 uptake in the Custom program to support large industrial projects. Customers initiated 4 projects that had...
AI summary EfficiencyOne (E1) reports an increased demand for support from large industrial projects post-pandemic, the launch of a new demand response program, and the use of historical data for rate class allocation in the 2023-2025 DSM Plan. E1 plans to improve accuracy by using three years of historical data and reviews for future DSM plans.
& lt;sup>c Weighted average measure life for Q1 2025 actuals was calculated by dividing the lifetime energy savings by the first year energy savings. 1 Request IR-14: 2 3 Reference: Appendix A, page 27. 4 5 In the 2025 DCRR matter, the Ind...
AI summary The text discusses concerns raised by the Industrial Group in the 2025 DCRR matter regarding DSM costs and spending variations by customer class. E1 explains that actual spending by rate class is reported for the DSM rider and that mid-course adjustments are not used for this purpose. Questions are raised about true-up processes and their impact on programming and spending.
Date Filed: June 25, 2025 E1 (IG) IR-23 Page 3 of 3 1 Request IR-24: 22 attributed to the difference in capital investment timing between the two scenarios which 23 has a degree of uncertainty. To remove this variability from the data set...
AI summary The document discusses the use of the Equivalent Escalating Avoided Cost of Energy series to smooth variability in data and requests an updated Excel file to layer rate impacts from the 2023–2025 DSM Plan with those from the 2026 DSM Plan. EfficiencyOne explains that a rate and bill impact analysis was conducted for the 2026 DSM Extension, but not for the full 2023–2026 period.
8 Table 3: Estimated Rate Class Participation for Tracked and Untracked Participations in 2026 RBIA Total Rate Total 2026 RBIA Forecast Participants Non Rate Class Class Customers participants EE - tracked EE - untracked DR Participants Sm...
AI summary Table 3 provides an estimated breakdown of rate class participation for tracked and untracked participations in the 2026 RBIA, including small, medium, and large industrial rate classes, their respective customer counts, and participation numbers for energy efficiency (EE) and demand response (DR).
As stated on page 13 of Appendix A, the RBIA participation forecasting methodology assumes each customer in larger classes participates in DSM every year, either directly or indirectly through contractors. As a result, there are no non-par...
AI summary The text discusses the RBIA participation forecasting methodology, assuming all customers in larger classes participate in DSM every year. It also outlines the average bill impact for non-participants in the 2026 DSM Extension, which is driven by rate class rate impacts and shows minimal increases for small, medium, and large industrial classes.