E-12022 Rate and Bill Impact Analysis
10 passages
3.1 SCENARIOS - E1's RBIA model compares two scenarios: a DSM scenario and a no-DSM scenario. The DSM scenario includes the actual utility costs and resulting energy and system-peak demand reductions of DSM programs that ran from 2011 thro...
AI summary E1's RBIA model compares a DSM scenario (including 2011-2021 DSM program costs and savings, plus 2022-2025 projections) with a no-DSM scenario. Rate impacts reflect year-to-year differences between scenarios, not actual rate increases. A 1% rate impact in 2025 indicates a 1% variance between DSM and no-DSM rates for that year, not a 1% increase from 2024 to 2025.
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.
Energy and demand rates - NS Power provided estimates for 2011 2022 of rates by class (including energy, demand, and - customer charges). Beyond 2022, energy and demand charges are assumed to escalate at 2.7% - per year, while customer cha...
AI summary NS Power provided rate estimates from 2011-2022, assuming 2.7% annual escalation for energy/demand charges post-2022. The 2020 RBIA model uses a blended energy/demand rate, whereas prior models excluded demand charges. E1's current model assumes equal energy/demand savings, which may slightly affect participant/non-participant bill impacts but not total customer impacts.
1 Energy and demand sales - 2 NS Power has provided historical and projected energy and demand sales within each rate class - 3 for 2011 2040. Energy sales are provided at the customer's meter for both the with DSM and - 4 without DSM scen...
AI summary NS Power has presented historical and projected energy and demand sales data from 2011 to 2040, differentiated by rate class and including scenarios with and without Demand Side Management (DSM). The data includes energy sales at the customer meter and average monthly demand forecasts under the DSM scenario.
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 provides transparency on how energy and demand usage by rate classes affect total service costs. Accurate tracking of DSM impacts on system and class usage is achievable via NS Power's annual Load Forecast Report and E1's long-term class usage forecasts, enabling simplified COSS analysis without detailed future investment data.
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 NS Power calculates revenue requirements by functionalizing system costs, adjusting for load changes and inflation. In the 'With DSM' scenario, FAM-related costs are modified for load changes and inflation, while non-FAM costs remain flat. The 'No DSM' case adjusts revenue requirements for load differences due to absent DSM. True-up adjustments, like Maritime Link depreciation, slightly affect cost comparisons between scenarios.
"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 compiles annual test year usage and embedded costs from COSS and BCF COSS filings in GRA and BCF proceedings, along with a ten-year Load Forecast Report and DSM expenditures by rate class. These data are used to calculate class unit costs and revenues.
"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 NSPI provides pricing inputs for the RBIA, including annual data from 2021-2035 under 'With DSM' and 'No DSM' scenarios. Data includes revenues, program charges, sales forecasts, demand, and customer counts. Filed 31 October 2022.
Appendix F: NS Power Historical Rate Model (Microsoft Excel file, filed Electronically)
AI summary Appendix F of the regulatory proceeding document presents NS Power's historical rate model, included as an electronically filed Microsoft Excel file. This appendix is part of a broader analysis involving cost studies, demand-side management, and regulatory considerations for Nova Scotia's energy sector.