E-12022 Rate and Bill Impact Analysis
16 passages
EXECUTIVE SUMMARY EfficiencyOne (E1) delivers demand side management (DSM) programs that offer benefits to customers and the electric utility. While cost-effective DSM is a key resource option for delivering clean, affordable, reliable, an...
AI summary EfficiencyOne (E1) analyzes demand side management (DSM) programs' rate and bill impacts, highlighting that while DSM may increase rates, it typically reduces customer bills. Equity concerns arise as non-participants face higher rates. E1's 2022 Rate and Bill Impact Analysis (RBIA) evaluates DSM impacts from 2011-2021 and projects outcomes until 2039, emphasizing the balance between rate increases and bill reductions.
ure it served its required purposes. It has been further revised several times since then, based on feedback from past filings and discussions with the DSMAG. DATE FILED: 31 October 2022 Page 6 of 40 National Efficiency Screening Project (...
AI summary The document outlines revisions to a model based on DSMAG feedback, references NESP and the National Standard Practice Manual, details sections on model enhancements, framework, results, and appendices including sensitivity analysis and methodology from NS Power. E1's RBIA model is included as an attachment.
Cumulative and annual participation Each year, E1 combines participant records (for programs that track participant information) with participant records from previous years. In this way, E1 can identify the first year that a customer part...
AI summary E1 tracks cumulative and annual participation by combining records and using transaction data and scaling factors. For some programs, Guidehouse's ProCESS model is used, while others rely on 2021 data scaled by energy savings and product rebates. Custom Incentives use different assumptions.
3.8 DEMAND RESPONSE - This section discusses how demand response has been incorporated into the E1 RBIA model and - NS Power Rate Model. - Demand Response costs, savings, measure life, and customer incentives are first calculated and - pro...
AI summary Demand response is integrated into the E1 RBIA model and NS Power Rate Model, with costs and savings calculated separately from energy efficiency. Scenarios include combinations of DSM, energy efficiency, and demand response. Demand response programs are assumed to shift consumption without energy savings, targeting peak demand reduction.
4. 2022 ANALYSIS RESULTS - Results are summarized in Appendix A and have been presented for energy efficiency and - demand response separately, as well as combined. Summary sheets for rate, bill, and - participation impacts for each applic...
AI summary The 2022 analysis results summarize energy efficiency and demand response outcomes separately and combined, with rate, bill, and participation impact summaries in Appendix B. Sensitivity analysis results are detailed in Appendix C, using representative model outputs.
4.2 OVERALL BILL IMPACTS - Generally speaking, those ratepayers that participate in DSM programs most directly benefit - from DSM programs by reducing their electricity consumption and thereby lowering their - electricity bills. Together,...
AI summary The 2022 RBIA analysis shows DSM programs reduce electricity bills for participants by -10.2% to -1.9%, while non-participants see minor savings or increases (-0.03% to +2.4%). Total customer bill impacts range from -8.9% to -1.9%, with $2.5 billion in savings for Nova Scotia ratepayers over 2011-2039. Lower-consumption classes benefit more from efficiency measures.
Figure 7: Cumulative Participation Rates by Rate Class (tracked + untracked) E1 employs the assumption that all customers in the Large General, Medium Industrial, Large Industrial and Municipal classes participate in BER-IR each year, so t...
AI summary Figure 7 shows cumulative participation rates by rate class, with E1 assuming 100% annual participation for Large General, Medium Industrial, Large Industrial, and Municipal classes in BER-IR. Other classes show steady participation growth since 2011. Figures 8 and 9 detail annual rates.
4.4.7 LARGE INDUSTRIAL - As modelled, the Large Industrial class includes Rate Code 23 (Large Industrial), Rate Code 25 (Large Industrial, interruptible service), and the one-part high voltage real time pricing tariff. - The average rate i...
AI summary The Large Industrial rate class includes Rate Codes 23, 25, and a high-voltage real-time pricing tariff. The average rate increases 0.2%, but participants see a 4.3% bill decrease, while non-participants see a 0.03% decrease. All customers are assumed to participate in BER-IR, achieving 100% participation by 2011, aligning participant and total customer bill effects.
5. CONCLUSION - Highlights from the 2022 RBIA analysis include: - Over the 29 years of the study period, participants in DSM programs see average annual bill reductions ranging from a low of 1.9 percent (typical Municipal participant) to a...
AI summary The 2022 RBIA analysis highlights significant electricity bill savings for Nova Scotian ratepayers due to DSM programs, with non-participants experiencing mixed rate impacts. Collaboration with DSMAG and NS Power enhanced RBIA models, incorporating demand response and carbon avoidance. Over 29 years, DSM programs reduced bills by 1.9–10.2% for participants, while rate pressures ranged from 0.2–3.1%.
Appendix B: Results by Rate Class ne# Rate and Bill Impacts of DSM on the General Class 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 Units...
AI summary This table presents the rate and bill impacts of Demand Side Management (DSM) on the General Class over multiple years, including incremental and cumulative DSM savings, expenditures, number of participants, and the levelized cost of saved energy. The data shows fluctuations in savings and expenditures from 2011 to 2039.
Figure 1: Avoided Costs Sensitivity Analysis: Average Rate Impacts (2011 – 2039)
AI summary Figure 1 presents a sensitivity analysis of avoided costs and their impact on average rates from 2011 to 2039. It examines how variations in demand-side management (DSM) and other factors influence rate structures, reflecting key considerations in regulatory proceedings related to energy efficiency and cost allocation.
Figure 2: Avoided Costs Sensitivity Analysis: Average Participant Bill Impacts (2011 – 2039)
AI summary Figure 2 presents a sensitivity analysis of avoided costs and their impact on average participant bills from 2011 to 2039. The analysis evaluates how variations in demand-side management (DSM) programs and other factors influence electricity costs over time.
Energy and demand savings by class E1 uses evaluated and verified energy and system-peak demand savings for 2011-2021 DSM program years, which are allocated to rate classes within each program component. For 2022- 2025, first-year energy,...
AI summary The text outlines methods for allocating energy and demand savings by rate class for Nova Scotia's DSM programs. It details the use of evaluated savings data from 2011-2021 and proportional allocation methods for 2022-2025, with weighted-average measure lives (WAMLs) calculated based on lifetime and first-year energy savings ratios.
Overview of Spreadsheet Calculations
AI summary The document provides an overview of spreadsheet calculations used in a Nova Scotia regulatory proceeding, likely related to energy efficiency programs, cost studies, and demand-side management initiatives. Key entities include regulatory bodies, efficiency programs, and technical acronyms relevant to electricity generation and distribution.
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 a methodology for tracking energy and demand savings from DSM programs across eight rate classes (R-Savings, SG-Savings, etc.) from 2011 to 2022. Annual savings are calculated using E1's RBIA Reports and adjusted for transmission losses based on COSS data. This approach converts generator-level metrics to customer-metered usage.
2022 Rate and Bill Analysis
AI summary Analysis of 2022 rate and bill data for Nova Scotia, involving regulatory considerations for demand-side management, cost of service studies, and efficiency programs. Key entities include Nova Scotia Power Inc., Efficiency Nova Scotia Corporation, and related regulatory frameworks.