E-1-1Application
25 passages
census information. 1 vi. Total ratepayer benefits; 2 vii. Total spending (reported by program and rate class); 3 viii. Customer satisfaction; 4 ix. An analysis of the impact on rates through the implementation of the 5 programs will be in...
AI summary The document outlines various reporting requirements related to ratepayer benefits, customer satisfaction, and low-income program participation. It also mentions the inclusion of rate and bill impact analysis by EfficiencyOne, to be filed annually by October 31st.
1. INTRODUCTION This rate and bill impact analysis (RBIA) provides a high-level estimate of the impact of DSM activities proposed within EfficiencyOne's 2020-2022 DSM Resource Plan ("the Plan") on customer rates and bills, within each part...
AI summary This Rate and Bill Impact Analysis (RBIA) estimates the impact of Demand Side Management (DSM) activities in EfficiencyOne's 2020-2022 DSM Resource Plan on customer rates and bills across participating rate classes. The analysis covers the period from 2020 to 2035 and was developed using a model reviewed and revised over time with input from the DSMAG and Synapse Energy Economics.
1 2. UPDATE ON MODEL EVOLUTION Several enhancements were made to the model since the 2018 RBIA, as described below.
AI summary Several enhancements were made to the model since the 2018 RBIA, as described below.
1 Figure 4: DSM Expenditures and Investments per kWh 2 3 Note: 2016 and 2017 energy savings use evaluated results while 2018 are estimated. 4 5 [Table 2](#page-203-0) presents the average rate impacts over the study period (the same values...
AI summary Figure 4 and Table 2 compare DSM expenditures and investments per kWh over different time periods, highlighting changes in rate impacts from 2018 to the current analysis. The current analysis covers 2020-2035 with impacts averaged over 16 years, while the 2018 RBIA covered 2011-2019 with impacts averaged over 21 years. Differences in calculation methods, such as avoided energy costs and line losses, are noted.
12 4.2 OVERALL BILL IMPACTS 13 The analysis shows that between 2020 and 2035, participants in 2020-2022 DSM 14 programs under the Preferred Plan will see average bill reductions between 1 percent 15 (Medium and Large Industrial) and 11 per...
AI summary The analysis indicates that participants in DSM programs from 2020-2022 will see average bill reductions ranging from 1% to 11% between 2020 and 2035, while non-participants may experience slight bill increases. NS Power customers will save over $475 million due to these programs, with variations in savings depending on customer class and consumption levels.
1 6. FUTURE CONSIDERATIONS 2 Through collaboration with the DSMAG, EfficiencyOne's RBIA has evolved 3 considerably since the last application for a three-year DSM Resource Plan; between 4 that application and the current one, it has been f...
AI summary EfficiencyOne has improved its Rate and Bill Impact Analysis (RBIA) for the DSM Plan with input from stakeholders and Synapse. The model has been reviewed multiple times and will continue to evolve. Future considerations include refining avoided cost estimates and exploring NS Power's breakdown of lost revenues and avoided costs.
29 • Further exploring NS Power's proposed means of allocating lost revenues and 30 avoided costs to rate classes; 1 • Discussing which avoided cost estimates to use when avoided cost estimates 2 change (EfficiencyOne indicated its intende...
AI summary The text discusses NS Power's proposed allocation of lost revenues and avoided costs to rate classes, focusing on the use of avoided cost estimates and historical data in the Rate and Bill Impact Analysis (RBIA) model. EfficiencyOne has provided its approach and expects to collaborate with stakeholders for the next RBIA filing.
1 7. CONCLUSION 2 This analysis captures the impacts of 2020-2022 DSM programs to customer rates 3 and bills throughout the full lifetime of the DSM impacts. Over the lifetime of 4 measures installed in 2020-2022, NS Power customers will s...
AI summary This conclusion discusses the long-term benefits of DSM programs from 2020-2022, including customer savings of over $475 million. It highlights the Total Resource Cost and Program Administrator Cost ratios, rate increases, and bill savings. The analysis also acknowledges the limitations of the evaluation and mentions future improvements to the model.
Appendix B – Attachment 1: Results by Rate Class (Preferred Plan) Long-Term Rate and Bill Impact Analysis of the 2020-2022 DSM Plan This graph shows estimated rate impacts of DSM, relative to the no-DSM scenario. Blue bars show the impact...
AI summary This section presents a long-term rate and bill impact analysis of the 2020-2022 DSM Plan. It includes visual representations showing the estimated rate impacts of DSM, including program cost recovery, lost revenues, and avoided utility costs, as well as bill impacts for participants, non-participants, and total customers relative to a no-DSM scenario.
f positive and negative rate pressures), which accounts for recovery of fixed costs that are not avoided due to DSM. The dotted red line shows the average net rate impact of DSM over the study period. This graph shows bill impacts of DSM a...
AI summary The text discusses the financial and billing impacts of Demand Side Management (DSM) programs, showing how they affect customer bills and participation rates. Graphs illustrate the average net rate impact, monthly bill differences, and cumulative program participation for tracked and untracked programs.
otal customers in the class. Each customer is counted once for each year that they participate in any program. This graph shows estimated rate impacts of DSM, relative to the no-DSM scenario. Blue bars show the impact of program cost recov...
AI summary The text discusses the estimated rate and bill impacts of Demand Side Management (DSM) programs, comparing scenarios with and without DSM. It highlights program cost recovery, lost revenues, and avoided utility costs, while also showing cumulative participation rates across eligible customers.
This graph shows estimated rate impacts of DSM, relative to the no-DSM scenario. Blue bars show the impact of program cost recovery. Red bars show the impact of lost revenues due to reduced sales. Purple bars show the impact of avoided uti...
AI summary The text presents visual data on the estimated rate and bill impacts of Demand Side Management (DSM) programs, comparing scenarios with and without DSM. Graphs illustrate the net rate effect, participation rates, and cumulative participation over time, highlighting the financial and usage impacts of DSM on customers and the utility.
participant is counted once in each year that they participate. Darker bars show "tracked" participants (i.e. programs that do not collect participation info, where participant figures are estimated). This graph shows annual program partic...
AI summary The text discusses visual representations of program participation rates and their impact on utility rates and bills. It includes graphs showing annual participation percentages, estimated rate impacts, and bill impacts of Demand Side Management (DSM) relative to a no-DSM scenario. The analysis considers participants, non-participants, and total customers.
This graph shows annual program participation for the class, as a percentage of total customers in the class. Each customer is counted once for each year that they participate in any program. # Rate a nd Bill I mpacts o f DSM or the Sm all...
AI summary The graph illustrates annual program participation for the small industrial rate class, showing incremental and cumulative DSM savings, DSM costs, and average savings per participant over time. Participation and savings increase from 2020 to 2022 before plateauing, with costs and savings per participant also noted.
This graph shows estimated rate impacts of DSM, relative to the no-DSM scenario. Blue bars show the impact of program cost recovery. Red bars show the impact of lost revenues due to reduced sales. Purple bars show the impact of avoided uti...
AI summary The text includes graphs analyzing the rate and bill impacts of Demand-Side Management (DSM) programs, comparing scenarios with and without DSM. It also discusses program participation rates, distinguishing between tracked and non-tracked participants, and shows participation trends over time.
al program participation for the class, as a percentage of total customers in the class. Each customer is counted once for each year that they participate in any program. This graph shows estimated rate impacts of DSM, relative to the no-D...
AI summary The text discusses the rate and bill impacts of Demand-Side Management (DSM) programs, showing estimated effects on utility rates and customer bills. Graphs illustrate the impact of program cost recovery, lost revenues, and avoided utility costs, as well as differences between participants, non-participants, and total customers in the context of DSM.
otal customers in the class. Each customer is counted once for each year that they participate in any program. This graph shows estimated rate impacts of DSM, relative to the no-DSM scenario. Blue bars show the impact of program cost recov...
AI summary The text discusses the estimated rate and bill impacts of Demand-Side Management (DSM) programs, comparing scenarios with and without DSM. It highlights the effects of program cost recovery, lost revenues, and avoided utility costs, with visual representations of the net rate and bill impacts for participants, non-participants, and total customers.
Page 13 of 16 Rate a nd Bill I mpacts of of DSM or า the Lar ge Indus trial Clas s - ALTE RNATE F PLAN Impacts of DSM on the Large Industrial Rate Class 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2...
AI summary This table presents the impacts of the Large Industrial Class Demand-Side Management (DSM) Plan from 2011 to 2035, including incremental and cumulative DSM savings, DSM costs, participant numbers, and the levelized cost of saved energy. Savings and costs are shown over time, with notable data starting in 2020.
f positive and negative rate pressures), which accounts for recovery of fixed costs that are not avoided due to DSM. The dotted red line shows the average net rate impact of DSM over the study period. This graph shows bill impacts of DSM a...
AI summary The graph illustrates the bill impacts of Demand-Side Management (DSM) as a percentage difference relative to a no-DSM scenario. It differentiates between participants, non-participants, and total customers, showing how DSM affects average energy use and cost recovery.
2 Attachment 3: Assumptions - 3 This document is intended to provide an overview of the assumptions used in - 4 EfficiencyOne's 2020-2022 Plan Rate and Bill Impact Analysis (RBIA). - 5 These assumptions are for RBIA purposes only and do no...
AI summary This document outlines the assumptions used in EfficiencyOne's 2020-2022 Plan Rate and Bill Impact Analysis (RBIA), emphasizing that these assumptions are specific to the RBIA and do not influence EfficiencyOne's broader operations.
- 6 construction of the Plan or calculation of energy savings. Item Description General EfficiencyOne has used the "snapshot" approach recommended by approach Synapse, in which the impacts of specific program years are analyzed (in this ca...
AI summary The document discusses the construction of the Plan and the calculation of energy savings, using a 'snapshot' approach for specific program years (2020-2022) rather than long-term DSM analysis. Two models (Preferred and Alternate) compare DSM and no-DSM scenarios, with results provided for multiple rate classes.
- Municipal (rate code 24) The Unmetered, Generation Replacement and Load Following (GRLF) and Shore Power rate classes are not included in the analysis. EfficiencyOne does not offer programs for the GRLF and Shore Power classes. Energy an...
AI summary The text discusses the exclusion of certain rate classes from analysis, the evaluation of energy and demand savings for DSM programs, and the methodology used in the RBIA model for participation estimates. It highlights differences in participation tracking between RBIA and previous DSM Plans.
NS Power provided estimates for 2019 by class, including block 1, block 2, Fuel Adjustment Mechanism, and demand charges where applicable. base charges are assumed to remain flat after 2019. Transformer credits are not included in rates. C...
AI summary NS Power provided 2019 estimates by class, including block 1, block 2, Fuel Adjustment Mechanism, and demand charges. The analysis assumes base charges remain flat after 2019 and discusses 'lost' fixed cost adjustments, including revenue reallocation and participation rates for each rate class.
net lifetime avoided cost benefits for Nova Scotia Power. - 24 • Provide $477 million in customer bill savings. On Behalf of EfficiencyOne DATE FILED: February 28, 2019 1 Evidence of Glenn Reed, Energy Futures Group. On behalf of the Ecolo...
AI summary EfficiencyOne submitted a filing outlining the benefits of the 2020-2022 DSM Plan, including net lifetime avoided cost benefits and customer bill savings of $477 million. Glenn Reed from the Energy Futures Group provided evidence on behalf of the Ecology Action Centre.
43 45 SCHEDULE C 74 ii. Cumulative annual net peak demand savings at generator 75 iii. Lifetime Energy Savings 76 77 c) Performance Indicators (for UARB reporting) consist of: 78 i.Annual incremental energy savings (reported by program and...
AI summary The text outlines performance indicators and reporting requirements for the UARB, including energy savings, demand savings, ratepayer benefits, customer satisfaction, and low-income program participation. EfficiencyOne is responsible for submitting a historical rate and bill impact analysis annually.
E-9NSPI Evidence
9 passages
e 10 Year System Outlook shows that from a generation capacity perspective, funding less DSM for the last five years has provided rate relief to customers without sacrificing value in the medium term.
AI summary The 10 Year System Outlook indicates that reduced funding for DSM over the past five years has provided rate relief to customers without compromising medium-term value.
DATE FILED: April 12, 2019 Page 30 of 37 1 10.0 RATE AND BILL IMPACT ANALYSIS NS Power has made several submissions to the DSM Advisory Group (DSMAG) and the UARB about the Rate and Bill Impact Analysis (RBIA) and reiterates the concerns r...
AI summary NS Power has submitted alternative Rate and Bill Impact Analysis (RBIA) models to the DSM Advisory Group (DSMAG) and the UARB, expressing concerns with the E1 RBIA model and proposing modifications to align the models for better analysis of DSM costs on rates and bills.
10.1 Levelized avoided fuel costs Consistent with the Company's position provided in comments on the 2016 RBIA Report, due to the manner in which fuel costs have been incorporated, the use of levelized fuel costs from the 2014 IRP based on...
AI summary The document discusses the discrepancy between levelized fuel costs used in the 2014 IRP and actual marginal fuel costs experienced by customers. It highlights that the RBIA should reflect the recovery pattern of fuel costs, which are recovered as they are used, unlike future fixed costs. The levelized costs from the 2014 IRP are significantly higher than actual and projected marginal fuel costs.
M07730, EfficiencyOne – 2016 Rate and Bill Impact Analysis (E-ENSC-R-16), NSPI letter to the UARB, November 30, 2016. 1 marginal costs for the period 2011-2020, and the 2021-2033 annual marginal cost 2 forecast from the 2014 IRP, is $74/MW...
AI summary NS Power argues that the current RBIA model used by EfficiencyOne does not accurately reflect the variability in bill and rate impacts among rate classes. They propose separating fuel cost savings from fixed cost savings or losses to improve the accuracy of the RBIA results and better reflect the differences in cost causation between rate classes.
DATE FILED: April 12, 2019 Page 33 of 37 1 1. Annual fuel costs reduced by avoided fuel cost of DSM programs should be 2 allocated to rate classes based on their shares in annual GWh requirement in each 3 year. 4 5 2. Annual fixed generati...
AI summary The text outlines proposed modifications to the allocation of DSM program benefits to rate classes based on annual GWh and MW demand shares. It also highlights that the current RBIA methodology uses a static allocation factor based on a historic year, and that E1's model does not differentiate between energy and demand-related cost responsibilities across different classes.
1 Q. What specific targets did the Board approve for the 2019 DSM Resource Plan? - 2 A. According to the approved 2019 DSM Resource Plan, in 2019 $34.05 million will be - 3 invested to achieve 127.2 GWh and 20.2 MW of incremental annual ne...
AI summary The 2019 DSM Resource Plan approved by the Board aimed to achieve 127.2 GWh and 20.2 MW of annual net energy and peak demand savings through $34.05 million in investments. The plan included pilot programs for demand reduction targeting residential and BNI customers, with initiatives such as electric thermal storage units and rebates for efficient products. A rate stability period was established to expire by the end of 2019.
Q. Are the claimed benefits also based on avoided energy cost assumptions? A. Yes. The claimed customer benefits depend on the assumptions that EfficiencyOne has made. As I understand, EfficiencyOne has used high levelized fuel costs from...
AI summary The answer confirms that EfficiencyOne's claimed benefits are based on assumed avoided energy costs, which are significantly higher than actual fuel costs experienced by NS Power's customers. This discrepancy may lead to an overestimation of DSM benefits and affect the cost-effectiveness of measures considered.
Annual Avoided Fuel Costs Year Avoided Energy Cost ($/MWh) Avoided Energy Costs used in RBIA ($/MWh) Actul Margin real IND IA ($/ IVIVVII) Cost 2009 IRP 2014 IRP Current Proposed Variance ($/MW h) 2010 133.73 59 .11 2011 108.44 166.00 108....
AI summary The document presents a table detailing annual avoided fuel costs from 2010 to 2039, comparing values from different Integrated Resource Plans (IRPs) and the actual margin. The data shows a general trend of increasing avoided energy costs over time, with variations between the current and proposed values. The table also includes metrics like the Actul Margin and associated costs.
Recommendations - NS Power recommends COSS-based DSM cost and benefit apportionment methodology for the purposes of 2020-2022 DSM Plan and RBIA methodology going forward. - Annual Avoided Fuel costs to be used in lieu of levelized fuel cos...
AI summary NS Power recommends using a COSS-based DSM cost and benefit apportionment methodology for the 2020-2022 DSM Plan and RBIA calculations. They propose using annual avoided fuel costs instead of levelized fuel costs and suggest specific avoided fixed costs for generation, transmission, and distribution. They also recommend using weighted average bill impact graphs and an inflation rate for years 2021 to 2033.
78612Compliance Filing
4 passages
1 Performance Targets consist of: 2 3 i. Cumulative annual energy savings; 4 ii. Cumulative annual system-peak demand savings; and 5 6 Performance Indicators consist of: 7 8 i. Annual incremental energy savings (reported by program and rat...
AI summary The document outlines performance targets and indicators for energy efficiency programs, including cumulative and annual energy and demand savings, ratepayer benefits, customer satisfaction, and reporting requirements. It also mentions the submission of a rate and bill impact analysis by EfficiencyOne.
The evidence used to inform the development of the key considerations relied on 1 several sources including but not limited to: 2 results of Nova Scotia Power Inc.'s (NS Power) 2014 Integrated Resource • 3 Planning (IRP) Process; 4 past No...
AI summary The evidence relied on includes past IRP processes, NSUARB decisions, DSM resource plans, and stakeholder input. The Preferred Plan aims to reduce utility costs and achieve energy savings aligned with the 2014 IRP. It emphasizes affordability, diversity in energy savings, and bill impacts, showing minor rate increases and significant long-term benefits.
DATE FILED: February 28, 2019August 27, 2019 Page 99 of 100 1 Performance Targets consist of: 2 3 i. Cumulative annual energy savings; 4 ii. Cumulative annual system-peak demand savings; and 5 iii. Cumulative lifetime energy savings. 6 7 8...
AI summary The document outlines performance targets and indicators for energy efficiency programs, including annual and cumulative energy and demand savings, ratepayer benefits, customer satisfaction, and reporting requirements. It also references a supply agreement between Nova Scotia Power Incorporated and EfficiencyOne, effective January 1, 2020.
50 51 SCHEDULE C 79 i. Cumulative annual net energy savings at generator 80 ii. Cumulative annual net peak demand savings at generator 81 iii. Lifetime Energy Savings 82 83 c) Performance Indicators (for UARB reporting) consist of: 84 i.An...
AI summary This document outlines the Performance Indicators required for UARB reporting, including energy and demand savings metrics, customer satisfaction, ratepayer benefits, and low-income program participation. EfficiencyOne is responsible for conducting and filing a historical rate and bill impact analysis annually.