E-1Application and Evidence
11 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.
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 Business Energy Rebates (...
AI summary The text discusses the assumptions and calculations used for the 2026 DSM Extension, focusing on how energy savings, peak demand savings, and expenditures are estimated for Business Energy Rebates (BER) and Custom programs, with specific scaling factors applied for low-income and equity participation.
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 Custom Actual program participants are apartment building owners. Avoided energy benefi...
AI summary This table discusses incidental low-income impacts for non-targeted program components under DSM reporting. It outlines assumptions for calculating savings from residential dedicated low-income and affordable housing projects, focusing on apartment buildings and non-profit organizations serving low-income Nova Scotians.
SM planning; - incorporation of demand response (DR) program components into the E1 RBIA and NS Power cost of service models; and - addition of partial year measure lives in the E1 and NS Power model. - Since the filing of E1's 2023-2025 D...
AI summary The 2026 DSM Extension RBIA incorporates updated avoided costs, additional DSM resources like solar-PV and batteries, and refinements to participation methodology. It highlights average bill reductions for participants and rate impacts for non-participants, with overall savings of $74 million by 2026.
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.
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.
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.
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-4E1 (IG) RIR 1 to 26
3 passages
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.