E-1-1Application
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James R. Gogan Direct Dial: (902) 563-5920 E-Mail: [email protected] File No. 41736-72 February 28, 2019 Nova Scotia Utility & Review Board PO Box 1692, Unit "M" Halifax, Nova Scotia B3J 3S3 Attention: Doreen Friis, Regulatory Affairs...
AI summary EfficiencyOne is submitting an application to the Nova Scotia Utility and Review Board for approval of a 2020-2022 DSM Resource Plan and a Supply Agreement with Nova Scotia Power Inc. Supporting evidence includes appendices with technical tables, rate impact models, and HST refund values.
22 5.1.3 Does diversifying away from lighting increase first-year unit cost? 23 24 Yes. 25 26 The overall unit cost of the Preferred Plan has increased from an estimated first-year 37 David Hill Direct Evidence February 27, 2019, page 8, l...
AI summary The text discusses the increase in first-year unit costs of the Preferred Plan from 2016-2018 to 2020-2022, noting that the removal of lighting measures from the plan has contributed to an increase in unit costs, with adjusted 2016-2018 unit costs estimated at approximately $0.27/kWh.
1 Improving and Providing Accessibility to all Market Sectors and Rate Classes 2
AI summary The document focuses on improving accessibility across all market sectors and rate classes in Nova Scotia. Key considerations include ensuring equitable access to services, though specific details or proposals are not elaborated in the provided text.
24 Avoided Capacity Investments 25 26 2019 is the first year in which avoided cost of capacity from the 2014 IRP is greater 27 than zero. There is now an opportunity to derive value from investing in capacity 28 avoidance. The Preferred Pl...
AI summary The Preferred Plan emphasizes demand reduction initiatives over demand response to avoid capacity investments. These initiatives reduce peak demand, deferring or avoiding capacity investments and mitigating long-term rate impacts. The plan increases investment in demand reduction from $1 million in 2019 to $3.3 million annually, aiming to reduce demand by 20.7 MW over the 2020-2022 DSM Plan term.
9 Residential 10 11 Demand reduction in the Residential sector focuses on installing electric thermal 12 storage (ETS) units and electric storage domestic water heater timers in the Green Heat 13 and Home Energy Assessment program componen...
AI summary The Residential and BNI sectors focus on demand reduction via electric thermal storage (ETS) and water heater timers. These technologies enable passive peak demand savings, reduce customer inconvenience, and align with the Preferred Plan's goal of achieving 120.1 MW demand reduction by 2022 through increased investment in DSM initiatives.
30 o Determine potential for costs reduction (e.g., test effectiveness of remote 1 strategies in order for Nova Scotians to meet energy and demand savings targets now 22 EfficiencyOne is vigilant about cost containment and control. It is k...
AI summary The text discusses the importance of cost containment in Demand Side Management (DSM) programs and highlights the need to consider near-term rate impacts in DSM planning. EfficiencyOne emphasizes its commitment to managing costs effectively while ensuring that customer funds are handled responsibly.
2 Table 8: DSM investment as a percentage of annual electric revenues Total Electric Revenues (NS Power Audited Financial Statements) $ million 2015 $ 1,389 2016 1,327 2017 1,309 2018 1,412 Total $ 5,437 Approved DSM Investment 2015 $ 39 2...
AI summary Table 8 shows NSP's DSM investment as a percentage of annual electric revenues from 2015-2018 (2.6%) and projects 3.0% for 2020-2022. The Preferred Plan's negligible impact on residential rates is noted, referencing Table 9.
nergy and capacity 49 M06733, para. 143 50 M06733, Decision at para. 82. 51 M05522, NS Power 2014 IRP Update savings that result in the lowest revenue requirement for customers.[52](#page-52-1) 1 The 2020– 2022 2 Preferred DSM Plan seeks t...
AI summary The Preferred DSM Plan for 2020–2022 aligns with the Integrated Resource Plan (IRP) by maximizing IRP benefits and ensuring cost-effectiveness. It is more affordable than the 2014 mid-DSM scenario and balances short-term and long-term affordability for ratepayers. The proposed plan increases DSM investment by approximately $3 million annually compared to the last nine years of approved levels.
1 8. ALTERNATE SCENARIO 2 3 EfficiencyOne has been directed by the Board to provide one or more alternate 4 scenarios of DSM budgets for the Board to consider. NS Power has been directed to 5 provide rate impact analysis on those scenarios...
AI summary EfficiencyOne is required to provide alternate DSM budget scenarios for the Board's consideration, while NS Power must analyze their rate impacts. The alternate scenario aims to offer a lower-cost plan.
16 Assets acquired on or after Implementation Date 17 8. Any assets of the Corporation acquired on or after the Implementation Date 18 must be transferred to Nova Scotia Power Incorporated for the benefit of the 19 customers of Nova Scotia...
AI summary The text discusses the transfer of assets acquired by the Corporation on or after the Implementation Date to Nova Scotia Power Incorporated for customer benefit. It also outlines a proposal by EfficiencyOne to apply an HST refund across the 2020–2022 DSM Plan to reduce required investment and enhance affordability.
1 Methodology Used to Allocate HST Refund by Rate Class 2 3 To enable the appropriate rate class allocation of funds associated with HST amounts 4 paid by ratepayers from 2010 through 2014, EfficiencyOne has developed a cost 5 allocation m...
AI summary EfficiencyOne developed a cost allocation model to distribute HST refunds by rate class (2010-2014), using prior balance adjustments and financial reporting data. Discontinued rate classes had their HST amounts redistributed proportionally. The methodology claims accuracy in reflecting original HST payments, while also estimating reinvestment benefits via present value calculations.
22 Incorporate the Value of Avoiding C02 Emissions in its DSM Cost Effectiveness 23 24 In its Reply Submissions, filed in support of the 2019 Demand Side Management 25 (DSM) Resource Plan, EfficiencyOne agreed to study opportunities to inc...
AI summary EfficiencyOne agrees to study incorporating the value of avoided CO2 emissions into its DSM cost effectiveness screening. It also explains that its eTRM is an operationalized system integrated with IT infrastructure, which cannot be printed or shared like a traditional TRM, but stakeholders were provided with a detailed overview and demonstration.
17 Value - 18 Consistent with the Standardized Filing Framework, the Preferred Plan adopts a 19 Balanced Plan Approach which incorporates multiple factors of DSM for the benefit of 20 customers. The application of these principles has resu...
AI summary The Preferred Plan adopts a Balanced Plan Approach incorporating multiple factors of Demand Side Management (DSM) to benefit customers. It includes initiatives such as diversifying beyond lighting savings, improving accessibility, avoiding capacity investments, and managing rate and bill impacts.
946, EfficiencyOne 2018 Rate and Bill Impact Analysis (31 October 2018), Electronically filed model version, Microsoft Excel file). 1 supports a robust energy efficiency industry in Nova Scotia. 2 3 Over the past decade demand side managem...
AI summary The document highlights the success of demand side management (DSM) in Nova Scotia, noting that benefits to ratepayers have far exceeded utility investments by a 4:1 ratio. It emphasizes the continued evolution of the energy efficiency market and the cost-effectiveness of the 2020-2022 Preferred DSM Resource Plan, which includes efforts to improve accessibility and achieve deeper savings.
-14 effective energy solutions; - 15 providing accessibility for a wider variety of market sectors and customer 16 segments; and - 17 increasing the level of system-peak demand reduction benefits. 18 19 EfficiencyOne also considered afford...
AI summary EfficiencyOne evaluated the 2020-2022 Preferred Plan, noting minor rate increases (0.8–1.7%) and bill reductions (1–11%) for customers. The plan offsets nearly 6,000 GWh of energy production and reduces annual peak demand by 120 MW, with lifetime benefits exceeding $600 million.
Annual avoided costs of energy and capacity were provided by NS Power, from the 2014 IRP using the Base level of DSM. Avoided costs of transmission and distribution were provided by NS Power in 2018. & lt;sup>a Lifetime benefits are expres...
AI summary Annual avoided costs of energy and capacity from the 2014 IRP using the Base level of DSM were provided by NS Power, along with avoided costs of transmission and distribution from 2018. The text describes metrics like TRC and PAC, which are benefit/cost ratios, and highlights EfficiencyOne's planned participation by low-income customers.
Table 4: 2021 Preferred DSM Resource Plan Investment and Savings 2021 Investment ($ million) Lifetime Benefits ($ million) a First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Total Resource Cost Test (T...
AI summary Table 4 outlines the 2021 Preferred DSM Resource Plan investment and savings, detailing program investments, lifetime benefits, energy savings, and cost tests for residential and non-residential DSM programs in Nova Scotia.
Annual avoided costs of energy and capacity were provided by NS Power, from the 2014 IRP using the Base level of DSM. Avoided costs of transmission and distribution were provided by NS Power in 2018. & lt;sup>a Lifetime benefits are expres...
AI summary The text discusses annual avoided costs of energy and capacity from the 2014 IRP using the Base level of DSM, as well as avoided costs of transmission and distribution from 2018. It also references metrics such as TRC and PAC, which are benefit/cost ratios used to evaluate program effectiveness.
Table 14: New Residential Performance Indicators - Comparison of Preferred and Alternate Plans Scenario Year Investment ($ million) First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Total Resource Cost...
AI summary Table 14 compares the performance indicators of preferred and alternate plans for new residential energy efficiency initiatives. It includes metrics such as investment, energy savings, peak demand savings, and cost indicators for both scenarios over the years 2020 to 2022. The alternate plan shows slightly lower investment and energy savings compared to the preferred plan.
Marketing Strategy The strategic marketing focus is to enhance relationships with the distributor network. The marketing strategy will be aligned by customer segment or vertical. Key messages will focus on non-energy benefits as well as wa...
AI summary The marketing strategy focuses on enhancing distributor relationships through customer segmentation, emphasizing non-energy benefits and rebates. EfficiencyOne collaborates with ETN and partners to use tactics like trade shows, marketing materials, and distributor training to promote programs effectively.
Impact Evaluations Annual impact evaluations will provide EfficiencyOne, stakeholders, and the NSUARB with up-to-date impacts on net electrical energy and net system-peak demand savings as progress indicators towards the overall approved 2...
AI summary Annual impact evaluations will track progress towards the 2020-2022 DSM Resource Plan targets, providing updates on energy and system-peak demand savings. EfficiencyOne will determine whether a full or condensed evaluation is needed, with condensed reports referencing prior evaluations and including program changes.
Rate and Bill Impact Analyses EfficiencyOne will file its historical Rate and Bill Impact Analysis (RBIA) by October 31st of each year. The historical RBIA estimates the high-level, long-term impact to rates and bills of all DSM activities...
AI summary EfficiencyOne is required to file historical and forward-looking Rate and Bill Impact Analyses (RBIA) annually and as part of each DSM Resource Plan. The DSM Advisory Group provides strategic input on DSM issues, and a Standardized Filing Framework for DSM Supply Agreements was approved by the NSUARB in 2016.
1 that identifies the desired outcome of an activity at a specific point in time. In this 2 Application Performance Targets refer to NSUARB-approved targets. Performance Threshold: A predefined quantity, percentage, or range which identifi...
AI summary The text defines Performance Targets and Performance Thresholds in the context of an application, noting that Performance Targets apply to the period of the NSUARB-approved Supply Agreement with NS Power, rather than annually.
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.
EXECUTIVE SUMMARY EfficiencyOne's 2020-2022 Demand-Side Management (DSM) Resource Plan Rate and Bill Impact Analysis provides a broad trend-based picture of the rate and bill impacts of proposed DSM activities to be carried out during the...
AI summary EfficiencyOne's 2020-2022 DSM Resource Plan analysis compares rate and bill impacts of proposed DSM activities under Preferred and Alternate scenarios, modeling effects until 2035. It evaluates DSM vs. no-DSM scenarios, excluding utility-specific factors, to assess long-term average impacts on rates and bills.
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.
Timeframe for levelization of avoided capacity costs EfficiencyOne adopted a recommendation to levelize the annual avoided capacity costs from the 2014 IRP over the RBIA study period, instead of using the levelized value from the 2014 IRP,...
AI summary EfficiencyOne adjusted the timeframe for levelizing avoided capacity costs from the 2014 IRP study period to the RBIA study period, increasing the levelized value from $195,355/MW to $195,990/MW. This change reflects a methodological shift in cost allocation over different study periods.
Addition of "Rates with and without DSM" graph in Attachments 1 and 2 This analysis previously included a graph for each class showing year-over-year percentage changes in rates with and without DSM (the bottom-left graph of odd- numbered...
AI summary The analysis replaces a graph showing erratic year-over-year rate changes with and without DSM with a new graph depicting full projected rates over the study period, providing clearer context on DSM's impact relative to total rates.
12 3.2 SCENARIOS 13 The models each compare two scenarios: a DSM scenario and a no-DSM scenario. 14 The DSM scenario includes the estimated administrative costs and resulting energy 15 and system-peak demand reductions of DSM programs that...
AI summary The analysis compares DSM and no-DSM scenarios (2020-2022), evaluating administrative costs, energy reductions, and system-peak demand. Rate and bill impacts are presented as differences between scenarios to isolate DSM effects. Results are detailed in Sections 4 (Preferred Plan) and 5 (Preferred vs. Alternate Plans).
- 28 Small General (rate code 10); 1 • General (rate code 11); 2 • Large General (rate code 12); 3 • Small Industrial (rate code 21); 4 • Medium Industrial (rate code 22;) 5 • Large Industrial (rate codes 23 and 25, and customers under the...
AI summary The document outlines different rate codes and discusses the definitions related to the time periods for Demand Side Management (DSM) programs. It specifies the DSM delivery period as 2020-2022, the cost recovery period as 2020-2022, and the avoided costs and lost revenues periods as 2020-2035. The analysis considers the average measure life of DSM measures installed in 2022 for the Residential class as approximately 14 years.
6 3.7 CALCULATING RATE IMPACTS 7 This section describes key elements of the rate impact calculations. The model does 8 not forecast the timing of general rate applications, or the occurrence of any future 9 rate adjustments; it instead ass...
AI summary This section outlines a model for calculating rate impacts, assuming annual rate changes and isolating DSM effects from other utility factors. Results are presented as annual 'rate pressure' from DSM by comparing DSM and no-DSM scenarios.
14 3.7.1 NO-DSM SCENARIO RATES 15 The model uses a set of forecast rates without DSM, on top of which calculated DSM 16 impacts are added. The last year for which actual (i.e. with-DSM) rates are known is 17 2019. An approximate Program Co...
AI summary The analysis models no-DSM rates by subtracting 2019 program costs from actual rates, escalating them annually by 2.7%, and using them to calculate class revenue and average energy rates. This forms the baseline for comparing DSM impacts.
1 3.7.2 DSM SCENARIO RATES 2 The DSM rates are calculated by taking the average no-DSM rates, adding a program 3 cost recovery component (upward rate pressure), adding a lost revenue component 4 (upward rate pressure), and subtracting an a...
AI summary DSM rates are calculated by adjusting average no-DSM rates with program cost recovery, lost revenue, and avoided costs components. Key assumptions include recovering all lost revenues and not recovering avoided costs, leading to upward rate pressure.
11 Program cost recovery 12 EfficiencyOne tracks costs by rate class within each year. For each year of the 2020- 13 2022 DSM Plan, which was originally modelled by Navigant at the program level 14 (not by rate class), the planned investme...
AI summary EfficiencyOne tracks program costs by rate class annually. The 2020-2022 DSM Plan, originally modeled by Navigant at the program level, allocated investments to rate classes based on 2017 expenditure distributions. Annual DSM costs are converted to a $/kWh recovery component by dividing costs by with-DSM kWh sales per rate class.
10 Class allocation of avoided costs and lost revenues 11 The annual avoided costs and lost revenues at the portfolio level are then reallocated 12 back to rate classes based on class shares of the total revenue requirement. For classes 13...
AI summary The text explains how annual avoided costs and lost revenues are reallocated to rate classes based on their share of revenue. For classes without demand charges, impacts are calculated per kWh, while classes with demand charges split impacts into energy and demand rate components.
1 3.8 CALCULATING BILL IMPACTS 2 This section describes key elements of the bill impact calculations. 3
AI summary The section outlines the key elements involved in calculating bill impacts, which is part of the regulatory proceeding related to energy efficiency and utility management in Nova Scotia.
4 No-DSM consumption 5 In the no-DSM scenario, for each rate class, in each year, the estimate of total class 6 energy consumption is divided by the number of customers to produce an estimate of 7 the average customer's consumption. This a...
AI summary The no-DSM scenario calculates average customer energy consumption by dividing total class energy consumption by the number of customers. This average, combined with no-DSM rates, determines average bills. Post-2019, the ratio of block 1 energy consumption to total consumption within each class is assumed constant.
12 Non-participant consumption and bill impacts 13 In the DSM scenario, non-participants in DSM programs are assumed to use the same 14 amount of energy as they do in the no-DSM scenario. Their bill impacts are therefore 15 driven only by...
AI summary In the DSM scenario, non-participants use the same energy as in the no-DSM scenario, so their bill impacts are driven only by rate changes. Fixed customer charges cause percentage bill impacts to differ from rate impacts.
20 Participant consumption and bill impacts 21 For the DSM scenario, within each rate class, in each year, total annual savings (i.e. 22 current-year savings plus persistent savings from past years) are divided equally 23 amongst the numbe...
AI summary The DSM scenario assumes equal distribution of total annual savings (current and past) among all participants in each rate class, ignoring variations in participation depth. This approach assumes uniform energy and system-peak demand savings per participant, despite real-world disparities.
1 Total customer consumption and bill impacts 2 The output graphs include a third category of participants, called Total Customers. 3 Impacts for this category are determined by allocating DSM savings for the class 4 equally among all cust...
AI summary The analysis describes a method for estimating bill impacts by allocating Demand-Side Management (DSM) savings equally among all customers in a class, without differentiating between participants and non-participants. This approach provides a simplified estimate of total customer consumption and bill impacts.
7 3.9 CALCULATING PARTICIPATION IMPACTS 8 For illustrative purposes, participation graphs provided in Attachments 1 and 2 9 include historical participation in 2011-2019 DSM programs. These participation 10 figures are identical to those u...
AI summary The section references historical participation data in DSM programs from 2011-2019, as presented in Attachments 1 and 2, which are identical to those used in EfficiencyOne's 2018 RBIA.
12 Forecasted 2020-2022 participation 13 For the current analysis, which looks only at DSM delivered over 2020-2022, 14 estimates of both annual and new participants are required for each program, within 15 each rate class, for each year o...
AI summary This section discusses the methodology used to forecast participation in demand-side management (DSM) programs from 2020 to 2022. EfficiencyOne estimated participation based on 2017 data, scaled by factors related to program magnitude and product mix. Exceptions include New Home Construction and Custom Incentives, which were handled differently.
9 4.1 OVERALL RATE IMPACTS 10 The general trend in rates, visible in all classes, is that the avoided costs and lost 11 revenues are approximately in balance throughout the life of DSM measures; this 12 means that DSM program cost recovery...
AI summary DSM program cost recovery drives rate impacts, with small (<1.7%) average rate increases across classes from 2020-2022. Avoided costs and lost revenues balance over DSM measures' lifetimes, but annual rate effects peak during 2020-2022 before nearing zero post-2022. Figures 2-4 illustrate average impacts, annual trends, and expenditure comparisons.
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.
13 14 Table 2: Average Rate Impact compared to No-DSM Scenario, 2018 Historical to 2020-2022 Preferred Plan 15 Results Comparison 2018 Historical RBIA Result (Average Impact over 2011-2032) 2020-2022 Preferred Plan RBIA Result (Average Imp...
AI summary The table compares the average rate impact of the 2018 historical DSM plan and the 2020-2022 preferred DSM plan across various rate classes. The preferred plan shows higher rate impacts, particularly in the first three years when program costs are being recovered. Figure 5 illustrates that rate increases due to factors other than DSM will be significant over the study period, with DSM and no-DSM rates shown for three representative classes.
8 4.3 OVERALL PARTICIPATION IMPACTS 9 Figures 4 through 7 present actual participation for 2011-2017 and estimates for 2018 10 through 2022. The 2011-2019 figures are presented here to provide context for the 11 2020-2022 estimates. The es...
AI summary The document analyzes participation data from 2011-2022, distinguishing between tracked and untracked participants. It notes that certain customer classes have 100% participation in BER-IR, while others show increasing rates. Figures 7-10 illustrate these trends.
Figure 9: Annual Participation Rates by Rate Class (tracked only) (Preferred Plan) Figure 10: Annual Participation Rates by Rate Class (tracked + untracked) (Preferred Plan)
AI summary The document presents two figures (Figure 9 and Figure 10) showing annual participation rates by rate class for the Preferred Plan, tracking both tracked and untracked participants. These figures are part of a regulatory proceeding involving Nova Scotia Power Inc. (NSP) and the Nova Scotia Utility and Regulatory Board (NSUARB), likely related to demand-side management (DSM) program performance metrics.
1 4.4 RESULTS BY RATE CLASS 2 This section highlights results in more detail, by individual rate class for the Preferred 3 Plan.
AI summary Section 4.4 details results by rate class for the Preferred 3 Plan, providing a breakdown of outcomes specific to different rate categories within the regulatory proceeding.
17 4.4.2 SMALL GENERAL 18 • As modelled, the Small General class Small General 19 includes Rate Code 10 only. ↑ 1.1% Rates 20 • Participants in the Small General class ↓ 5.3% Avg. Participant bills 21 see an average bill decrease of 5.3 ↓...
AI summary The Small General class, which includes Rate Code 10, sees an average bill decrease of 5.3% for participants over the study period, while non-participants experience an average bill increase of 1.0%.
1 4.4.3 GENERAL 2 • As modelled, the General class 3 includes Rate Code 11 only. 4 • Participants in the General class see an 5 average bill decrease of 3.2 percent 6 over the study period. 7 • Non-Participants see an average bill increase...
AI summary The General and Large General classes show differing bill impacts. General class participants saw a 3.2% bill decrease, while non-participants faced a 1.0% increase, with an overall 3.1% decrease. Large General participants had a 3.5% decrease, non-participants a 1.1% increase, and an overall 3.5% decrease. Rate impacts increased by 1.3% (0.1 cents/kWh) and 1.5% (0.2 cents/kWh) respectively.
1 4.4.5 SMALL INDUSTRIAL 2 • As modelled, the Small Industrial class 3 includes Rate Code 21 only. 4 • Participants in the Small Industrial 5 class see an average bill decrease of 6 4.4 percent over the study period. 7 • Non-Participants s...
AI summary The analysis compares bill impacts for Small, Medium, Large Industrial, and Municipal classes under Nova Scotia's regulatory proceeding. Small Industrial participants saw a 4.4% bill decrease, while non-participants increased by 1.1%. Medium Industrial participants decreased by 1.2%, with a 0.8% rate increase. Large Industrial and Municipal classes showed similar trends, with Municipal utilities experiencing a 3.6% average bill decrease. Rate impacts ranged from 0.1–0.2 cents/kWh across classes.
1 5. COMPARISON OF PREFERRED AND ALTERNATE PLANS 2 Full results by class for both the Preferred Plan and Alternate scenario for 2020-2022 3 are provided in Attachments 1 and 2. This section compares key outputs between the 4 two Plans. 5 6...
AI summary The document compares the Preferred Plan and Alternate scenario for 2020-2022, noting similar rate impacts (0.1% difference due to DSM costs) and minor variations in participant bill savings. The Preferred Plan allows more customers to participate, while program scaling differences in the Alternate scenario create minor savings discrepancies.
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.
Appendix B – Attachment 2: Results by Rate Class (Alternate Scenario) 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 imp...
AI summary This document presents a long-term rate and bill impact analysis of Nova Scotia's 2020-2022 DSM Plan. Graphs compare rate impacts (cost recovery, lost revenues, avoided costs) and bill impacts for participants vs. non-participants. Visuals also show cumulative program participation rates across customer classes, distinguishing tracked vs. untracked programs.
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.
Appendix B – Attachment 3: Assumptions Long-Term Rate and Bill Impact Analysis of the 2020-2022 DSM Plan
AI summary The document presents a long-term analysis of the rate and bill impacts of Nova Scotia Power Inc.'s 2020-2022 Demand-Side Management (DSM) Plan, likely part of a regulatory proceeding involving the Nova Scotia Utility and Regulatory Board (NSUARB).
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.
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 for block 1, block 2, Fuel Adjustment Mechanism, and demand charges. Base charges are assumed flat after 2019, and transformer credits are excluded from rates. Historical and forecasted energy sales data, including DSM assumptions from the 2014 IRP, are used to estimate no-DSM rates and sales scenarios.
Appendix B – Attachment 4: Equations Long-Term Rate and Bill Impact Analysis of the 2020-2022 DSM Plan
AI summary This document presents the Long-Term Rate and Bill Impact Analysis of the 2020-2022 Demand-Side Management (DSM) Plan, focusing on equations used to evaluate financial impacts. It is part of a regulatory proceeding involving Nova Scotia's energy efficiency initiatives.
2 Attachment 4: Equations - 3 The following set of equations describes the modeling approach to calculating lost revenues and - 4 avoided costs, and their allocation to rate classes. Lost fixed revenues are not calculated directly; - 5 ins...
AI summary Attachment 4 presents equations for calculating lost revenues (LR) and avoided costs (AC) in Nova Scotia's electricity regulatory proceedings. Lost revenues are recovered by Nova Scotia Power through the difference between lost revenues and avoided costs, which can be positive or negative. Equations allocate these values across rate classes using attribution factors.
1 Description of the indices: Parameter (Index) Index Value Description Rate class 1 Residential (i) 2 Small General 3 General 4 Large General 5 Small Industrial 6 Medium Industrial 7 Large Industrial 8 Municipal 9 Unmetered/Other Year 1 t...
AI summary The text describes the parameters and indices used in a regulatory proceeding, including rate classes and year ranges from 2011 to 2040. It outlines the structure of the indices, with rate classes categorized by customer type and year indices spanning three decades.
14 15 16 Tables 2, 3, and 4 provide the program-level savings and investment for 2020, 2021, and 2022 respectively. & lt;sup>a Lifetime benefits are expressed as the net present value of the avoided costs, including energy, capacity, trans...
AI summary Tables 2, 3, and 4 present program-level savings and investment data for 2020, 2021, and 2022. The text explains that lifetime benefits are calculated as the net present value of avoided costs, including energy, capacity, transmission, and distribution, using the utility WACC. TRC and PAC are defined as benefit/cost ratios comparing lifetime benefits to the combined costs of EfficiencyOne and participants, and to EfficiencyOne's costs, respectively.
Table 2: Alternate DSM Resource Scenario Investment and Savings 2020 Investment ($ million) Lifetime Benefits ($ million) a First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Total Resource Cost Test (TR...
AI summary Table 2 outlines investment and savings for alternate Demand-Side Management (DSM) resource scenarios in 2020, including residential and business programs, with details on energy savings, peak demand reductions, and cost tests. The data reflects avoided costs provided by NS Power from the 2014 Integrated Resource Plan (IRP) and 2018 transmission and distribution costs.
& lt;sup>a Lifetime benefits are expressed as the net present value of the avoided costs, including energy, capacity, transmission and distribution, over the life of the program measures, using the utility WACC. & lt;sup>b TRC is a benefit...
AI summary The text explains the calculation of lifetime benefits for energy efficiency programs, using net present value of avoided costs and benefit/cost ratios such as TRC and PAC. It also mentions EfficiencyOne's planned participation by low-income customers across various residential programs.
Table 3: 2021 Alternate DSM Resource Scenario Investment and Savings 2021 Investment ($ million) Lifetime Benefits ($ million) a First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Peak Demand Savings (MW) Total Resource Cost Tes...
AI summary Table 3 presents the 2021 investment and savings data for alternate Demand-Side Management (DSM) resource scenarios, including program-specific investments, lifetime benefits, energy savings, and cost tests. The data is provided by Nova Scotia Power and includes information from the 2014 Integrated Resource Plan (IRP) and 2018 transmission and distribution avoided costs.
Q: What is your experience in providing testimony? 1 A: I have provided testimony in regulatory hearings on more than a dozen occasions, and have 2 participated in scores of technical workshops and working groups on behalf of many clients,...
AI summary The witness has extensive experience providing testimony in regulatory hearings and technical workshops, including work with NS Power's AMI project, EmPOWER Maryland, Pennsylvania's Act 129, and Ontario's Brampton and Hydro One. They have also testified on efficiency programs, rate design, net metering, and solar market strategies in multiple U.S. states.
- From Nova Scotia Power's perspective, yield 4.8 dollars for every dollar invested in DSM 2 over the lifetime of the installed measures. - From a total resource cost perspective, which includes participating customer costs, 4 yield 2.0 do...
AI summary Nova Scotia Power (NSP) highlights that DSM 2 investments yield $4.8 per dollar over the lifetime of measures, with total resource cost analysis showing $2.0 per dollar. Rate impacts vary by class (0.8%-1.7%), while participant bills reduce 1-11%, offsetting nonparticipant increases via high EfficiencyOne program participation. Benchmarking against North American peers assesses EfficiencyOne's savings and spending合理性.
IV. Rate and Bill Impacts - Q: What are the expected rate and bill impacts of EfficiencyOne's proposed 2020-2022 DSM - expenditures? - A: I will only summarize the high-level takeaways from the comprehensive and detailed Long- - Term Rate...
AI summary EfficiencyOne's 2020-2022 DSM plan results in minimal rate increases (0.8%-1.7%) but significant bill savings for participants (1%-11%) and overall savings of $475 million. Non-participants see slight bill increases (0.5%-1.1%). The analysis emphasizes bill impacts over rate changes for customers.
V. Portfolio and Program Cost Effectiveness - Q: From a total resource cost (TRC) and program administrator cost (PAC) perspective, are the proposed programs cost effective? - A: Yes, from both perspectives the proposed 2020-2022 Preferred...
AI summary The proposed 2020-2022 Preferred Plan is deemed cost-effective from both total resource cost (TRC) and program administrator cost (PAC) perspectives. The TRC benefit-cost ratio (BCR) is 2.0, while the PAC BCR is 4.8. Ratepayer net benefits are estimated at $494 million over the 2020-2035 timeframe.
Preferred Plan is affordable? Direct Testimony of Glenn Reed / February 27, 2019 Page 15 On Behalf of EfficiencyOne DATE FILED: February 28, 2019 Pp18-19, ibid. - 1 A: Yes. EfficiencyOne is proposing to achieve its Plan savings at or below...
AI summary EfficiencyOne asserts that its Preferred Plan is affordable, achieving savings at or below peer Program Administrators, with minimal rate impacts of 0.8% to 1.7% and total bill savings of $477 million from 2020 to 2035.
The figure below identifies the Contract Price to be paid by NSPI allocated for each year of the Term. 2020 2021 2022 UARB Approved Contract Price to be Paid by NSPI The Parties acknowledge that any surplus realized by EfficiencyOne in del...
AI summary The document outlines the Contract Price to be paid by Nova Scotia Power Inc. (NSPI) over the Term and specifies that any surplus from EfficiencyOne meeting Performance Targets must be reported to and refunded by the UARB, unless otherwise directed.
43 45 SCHEDULE C 74 ii. Cumulative annual net peak demand savings at generator 75 iii. Lifetime Energy Savings 76 77 c) Performance Indicators (for UARB reporting) consist of: 78 i.Annual incremental energy savings (reported by program and...
AI summary The text outlines performance indicators and reporting requirements for the UARB, including energy savings, demand savings, ratepayer benefits, customer satisfaction, and low-income program participation. EfficiencyOne is responsible for submitting a historical rate and bill impact analysis annually.
E-3E1 (NSPI) RIRs to IR-1 to IR-69
53 passages
N/A N/A Total 27.1 132.4 97.8 1421.9 22.2 2.1 4.9 Incremental Incremental Lifetime Energy Annual Net Program Investment Lifetime Benefits Annual Net Total Resource 2022 a Savings at Demand Savings b Administrator ($ million) ($ million) En...
AI summary The text presents a table with financial and energy data, including investment, benefits, energy savings, and cost tests related to programs. It includes metrics such as lifetime energy savings, annual net demand savings, and program administrator details.
35.7 2.1 5.4 aLifetime benefits are expressed as the net present value of the avoided costs, including energy, capacity, transmission and distribution, over the life of the program measures, using utility WACC. bTRC is a benefit/cost ratio...
AI summary The document discusses the EfficiencyOne application for a supply agreement with Nova Scotia Power Inc. for electricity efficiency and conservation activities from 2020 to 2022. It references the Total Resource Cost Test (TRC) and Program Cost Test (PAC) as benefit/cost ratios used in the evaluation of the program.
ment levels, was subject to 13 rigorous stakeholder and regulatory review and ultimately determined to be in the best 14 interest of NS Power ratepayers; and therefore affordable. 15 At an average annual investment of $43.0M, the Efficienc...
AI summary The text discusses the approval of EfficiencyOne’s Preferred DSM Plan, which was subject to stakeholder and regulatory review and determined to be in the best interest of NS Power ratepayers. The plan involves an average annual investment of $43.0M over a 9-year period.
ement for Electricity Efficiency and Conservation Activities between E1 and Nova Scotia Power Inc. (DSM 2020- 2022) M09096 (E-ENS-R-19) E1 Responses to Nova Scotia Power Inc. (NS Power) NON-CONFIDENTIAL 1 history and is closer to the avera...
AI summary EfficiencyOne argues that its proposed DSM Plan for 2020-2022 is affordable and requires lower ratepayer contributions than historical averages, citing amortization of HST settlement recovery and underspend from previous plans.
Perceived Return on Value Investment Figure 2: Balance of Price Setting Influences The return on investment criteria, in most cases, can be quantified and precisely calculated; however, the perceived value to a consumer can only be measure...
AI summary The text discusses the challenges of quantifying perceived value to consumers in pricing decisions, noting that it is imprecise and varies by individual. It also describes the sigmoid relationship between uptake and incentives in energy efficiency programs, as illustrated in Figure 3.
We change the way people use energy™ Date Filed: March 29, 2019 NS Power IR-15 Attachment 1 Page 47 of 206 Nova Scotia homes do not have a large space cooling load. The primary cooling system is an electric fan, while only three percent of...
AI summary Nova Scotia homes have limited space cooling loads, primarily relying on electric fans and a small percentage of air conditioners. The province is a winter peaking region, making off-peak cooling savings less impactful for capacity management. A high proportion of electric water heaters presents significant efficiency opportunities for energy conservation programs.
vernment - Ministry of Energy Ontario Energy Board (OEB) Independent Electricity System Operator (IESO) 72 Local Distribution Companies (LDCs) The Ministry of Energy sets policy for the electricity sector, and is able to provide the...
AI summary The Ministry of Energy sets electricity policy in Ontario and provides direction to the IESO and OEB through ministerial directives. The IESO operates electricity markets, contracts with generators, coordinates system planning, and oversees conservation efforts. The OEB regulates LDCs and natural gas utilities, reviewing their rate applications. Conservation activities are funded separately and managed by the IESO.
and for assessing the appropriateness DSM plans for 2015-2020. The framework can also be used in gas utilities’ proposal reviews/approvals for their DSM plans by the OEB. Guiding principles include: 1. Invest in DSM where the cost is equal...
AI summary The document outlines guiding principles for assessing DSM plans, emphasizing cost-effectiveness, customer participation, and integration with other energy efficiency efforts. It also mentions the submission of annual budgets, eligibility criteria, and studies for OEB approval, including a mid-term review in 2018 to assess performance and impact on customer rates and shareholder incentives.
munity engagement Technology innovation Indirect and portfolio enabling activities Information technology Rate structures 107 We change the way people use energy Date Filed: March 29, 2019 NS Power IR-15 Attachment 1 Page 124 of 206
AI summary The text outlines key areas of focus including community engagement, technology innovation, indirect and portfolio enabling activities, information technology, and rate structures. These topics are central to the regulatory proceeding.
Benefits (Avoided Costs) In the societal test, the Energy Trust will include the following benefits: 1. The value of the electrical and/or gas energy saved based on the avoided cost forecasts of the utilities whose customers are served by...
AI summary The Energy Trust includes benefits such as avoided costs, non-energy benefits, line losses, and natural gas capacity benefits in its societal test. These benefits are based on forecasts from utilities and the PUC, and include a 10 percent credit for energy efficiency as required by the Northwest Power Act and OPUC Docket UM-551.
d uncertainty. Avoided costs based on integrated resource planning will be provided to the Energy Trust by utilities. The utility system test will include items 1, 3, 4 and 5 above. 14 https://energytrust.org/library/policies/4.06.000.pdf...
AI summary The text discusses avoided costs in utility planning, including the inclusion of forecasted reduced carbon dioxide emissions and the consideration of other environmental pollutant costs as per OPUC guidance. It also mentions the application of societal tests and specific measure evaluations by the Energy Trust.
• ► ➢ ➢ ➢ ► • • 3 Date Filed: March 29, 2019 NS Power IR-15 Attachment 4 Page 5 of 6 • • • • • o o o o o ► ► ► 4 Date Filed: March 29, 2019 NS Power IR-15 Attachment 4 Page 6 of 6 ► o o ► 5 EfficiencyOne – EfficiencyOne Application for app...
AI summary This document includes a filing related to EfficiencyOne's application for approval of a supply agreement for electricity efficiency and conservation activities between E1 and Nova Scotia Power Inc. for the period 2020-2022, identified as matter M09096 (E-ENS-R-19), along with E1's responses to NS Power.
ese commitments will provide benefits to Canadians through energy cost savings and improved environmental outcomes, which lead to increased productivity, competitiveness and energy affordability. In December 2016, First Ministers adopted t...
AI summary The text outlines international and national commitments to energy efficiency and climate change mitigation, including the Pan-Canadian Framework on Clean Growth and Climate Change, and efforts to align energy efficiency standards between Canada and the United States. These initiatives aim to reduce greenhouse gas emissions, improve energy affordability, and support economic growth.
nergy use, a lack of capacity within organizations to understand and manage energy use, and split incentives (e.g. landlords may not purchase efficient equipment if tenants pay the energy bill). In 2011, the Canada–United States Regulatory...
AI summary The text discusses the need for regulatory action to reduce energy consumption and GHG emissions by aligning Canadian energy efficiency standards with those of the U.S., addressing unnecessary regulatory differences, and reducing the load on the electricity system. It highlights challenges such as split incentives and the limitations of voluntary measures.
esult in significant net benefits over the lifetime of affected product models. The benefits vary by individual user depending on enduse sector, geographical location and operational practices. Annual reductions in energy consumption asso...
AI summary The Amendment is expected to result in significant energy consumption and GHG emission reductions over time, with estimated annual energy savings increasing from 3.76 PJ in 2020 to 15.76 PJ in 2030. It is projected to yield $4.55 billion in net benefits by 2030, with total benefits exceeding total costs by a ratio of almost five to one.
ast efficient; and (2) the efficiency of the average unit impacted. Where relevant, regional sensitivities were evaluated (e.g. a heat pump would save more energy per year in a colder location). Social cost of carbon The social cost of car...
AI summary The text discusses evaluating energy efficiency improvements by considering both the efficiency of the product and regional factors, such as climate. It also explains the use of the social cost of carbon to estimate economic benefits from reducing GHG emissions and outlines a methodology to calculate incremental costs associated with meeting more stringent energy efficiency standards.
ct categories to arrive at the estimate of total energy saved. This was then monetized by multiplying the results by the cost of energy per unit of energy saved (i.e. dollars per kilowatthour). The reductions in GHG emissions were calcula...
AI summary The text discusses methods for estimating energy savings and associated GHG emissions reductions. Energy savings are monetized based on energy cost, while GHG emissions are calculated using fuel-specific and average emission factors. Social cost of carbon is used to monetize GHG emissions. Key assumptions underpin these calculations.
Indicators performance GHG emissions are reduced to contribute to Canada’s goal to reduce GHG Percentage of product models Energy efficiency reports emissions by at least 30% below 2005 levels by 2030 that meet MEPS Import reports Consumer...
AI summary The text outlines performance indicators related to GHG emissions reduction, energy efficiency, and cost savings from using efficient products. It emphasizes monitoring through compliance reporting, third-party verification, and market data collection to assess outcomes.
s estimated that, by applying a social cost of carbon to these reductions, the cumulative present value of economic benefits associated with GHG emission reductions will be $701 million by 2030. 12 Canadian consumers will also realize econ...
AI summary The document estimates that the Amendment will yield $701 million in economic benefits from GHG emission reductions by 2030, with over $2 billion in energy savings. The cumulative present value of net benefits is projected to be $1.80 billion by 2030, with total benefits exceeding costs by more than two to one.
ct categories to arrive at the estimate of total energy saved. This was then monetized by multiplying the results by the cost of energy per unit of energy saved (i.e. dollars per kilowatt hour). The reductions in GHG emissions were calcula...
AI summary The analysis estimates energy savings and monetizes them using the cost of energy per unit saved. GHG emissions reductions are calculated using fuel-specific emission factors and a social cost of carbon, with projected annual reductions increasing from 0.13 Mt in 2020 to 1.03 Mt in 2030.
Covers shipments impacted by the proposed Regulations between 2019 and 2030. All benefits and costs are discounted at 3% to the year 2018. Table 3: Summary of benefits and costs to Canadians Aggregate Total Cumulative Annual Totals Present...
AI summary The text discusses the economic impacts of proposed regulations from 2019 to 2030, including benefits such as fuel savings and avoided GHG damages, and costs related to technology, installation, and compliance. All values are discounted to 2018 prices.
$0.12 administrative costs Government administration Government $0.10 $0 $0.10 $0.01 Total costs $34.89 $146.67 $1,040.49 $104.53 Net benefits $132.28 $231.54 $1,804.06 $181.24 B. Quantified impacts (in non$) Energy savings (petajoules) 1...
AI summary The table outlines administrative and total costs, as well as net benefits and quantified impacts such as energy savings and GHG emission reductions from 2019 to 2030. It also highlights additional benefits of energy efficiency, including cost savings, productivity, and environmental improvements, while noting the lack of data on certain non-energy benefits.
ption associated with the Amendment are estimated to be 0.4 petajoules (PJ) in 2020, and to reach 3.57 PJ in 2030 as the sale of more efficient equipment steadily replaces the preregulation stock. Annual reductions in GHG emissions result...
AI summary The Amendment is expected to result in significant energy savings and GHG emission reductions, with estimated benefits exceeding costs by a ratio of more than three to one by 2030. The cumulative present value of net benefits is estimated at $818 million by 2030.
Indicators Measure Performance GHG emissions are reduced to contribute to Canada’s goal to reduce GHG Energy efficiency emissions by at least 30% below 2005 levels by 2030. reports Import reports Market data Consumers save money by purchas...
AI summary The text outlines performance indicators related to reducing GHG emissions and promoting energy efficiency. It highlights consumer savings from purchasing efficient products, business benefits from using regulated equipment, and the importance of energy efficiency reports, market data, lab testing, and emission factors in measuring progress.
., 2018. Experience Curves of Residential Gasfired Furnaces in Canada. 24 Costs for technology and installation. 25 Benefits from energy savings and GHG emission reductions. 26 The administrative burden reported in Table 3 was estimated a...
AI summary The text discusses the costs and benefits of residential gas-fired furnaces in Canada, including energy savings, GHG emission reductions, and administrative burdens. It mentions the use of discount rates for cost-benefit analysis and references standards and stakeholders involved in the regulatory process.
numerous persistence and retention studies) DEER 9 - EL(=9) [6] [29] [34] GDS Associates, Inc. Appendix C Page C-1 Date Filed: March 29, 2019 NS Power IR-41 Attachment 1 Page 18 of 36
AI summary The text references a study related to persistence and retention, citing DEER and EL with associated numbers. It also mentions GDS Associates, Inc. and a document related to NS Power IR-41 Attachment 1.
CALMAC 6; 7.2; 9 included numerous persistence and retention studies)
AI summary The text references CALMAC and mentions that it included numerous persistence and retention studies, though no further details are provided.
“The future is already present with ECOMBI System” 4 Date Filed: March 29, 2019 NS Power IR-41 Attachment 3 Page 5 of 16 EFFICIENCY IS ALL DOWN TO CONTROL The cornerstone of ECOMBI technological innovation patented by ELNUR is the dynamic...
AI summary The ECOMBI system uses advanced thermostat technology and dynamic energy management to optimize heating efficiency and reduce energy consumption. It adjusts energy charging based on temperature readings and customer comfort needs, and utilizes off-peak electricity tariffs for cost-effective heating.
n the same way as any traditional storage heater, the ECOMBI system is designed to use the Time-Of-Use (TOU) or Time- Of-Day (TOD) low cost off-peak electricity. How does Off Peak Electricity works Most Utilities offer heavily discounted r...
AI summary The ECOMBI system uses off-peak electricity, which is available at lower rates during specific times of the day, typically between 11pm and 7am. This helps users save money on their energy bills by utilizing electricity during periods of low demand.
e room heat requirements where it is installed. An ECOMBI installation does not require external charging control units or additional timers. It is all included in each ECOMBI heater. POSSIBILITY OF MANAGING DIFFERENT CHARGING PERIODS ECOM...
AI summary The ECOMBI system allows for flexible programming of charging periods, delayed charging, and temperature settings to optimize energy use and cost. It supports off-peak tariff periods and can be integrated with digital meters for direct management by the electricity company.
ement for Electricity Efficiency and Conservation Activities between E1 and Nova Scotia Power Inc. (DSM 2020- 2022) M09096 (E-ENS-R-19) E1 Responses to Nova Scotia Power Inc. (NS Power) NON-CONFIDENTIAL 1 Request IR-43: 2 3 Reference: Evid...
AI summary EfficiencyOne assumes that all residential customers with ETS systems use Time-of-Use (TOU) rates, but the benefits of ETS systems are based on avoided costs, not TOU rates. If TOU rates are discontinued, participation in ETS programs may decrease due to the perceived lack of key benefits.
Use rate as the key benefit and EfficiencyOne 28 would be unlikely to attract significant participation through incentives alone if the Time- 29 of-Use rate were to be discontinued. Date Filed: March 29, 2019 E1 (NS Power) IR-43 Page 1 of...
AI summary The text discusses EfficiencyOne's application for approval of a Supply Agreement for Electricity Efficiency and Conservation Activities between E1 and Nova Scotia Power Inc. It outlines a request for additional information regarding the inclusion of Lifetime Energy Savings as a third Performance Target.
ticed produces a systemic bias against DSM as compared with supply-side options. As a result, the test often fails to fairly reflect its intended “total” cost and benefit perspective. 3. Ratepayer Value: The TRC perspective itself is focus...
AI summary The text discusses limitations of the Total Resource Cost (TRC) methodology in evaluating Demand-Side Management (DSM) programs, highlighting biases against DSM compared to supply-side options, lack of consideration for ratepayer value, and potential conflicts with policy objectives. It notes that many leading DSM regions have moved toward alternative tests like the Program Administrator Cost (PAC) test.
and far less expensive – exercise than “fixing” the current TRC by, among other things, assessing non-energy benefits. It may also be less contentious (see below). • Accuracy: Even if the TRC were to be corrected, in part by efforts to acc...
AI summary The text discusses the challenges with the Total Resource Cost (TRC) approach, highlighting concerns about accuracy, relevance, and alignment with existing legislation. It suggests that the Program Administrator Cost (PAC) test may be a more effective and less contentious alternative for evaluating demand-side management (DSM) programs.
pass the TRC, so long as the program as a whole passes (NSUARB - Decision In The Matter of an Application by ENSC for Approval of its Electricity Demand Side Management Plan for 2012, 2011). The Terms of Reference of NSPI’s 2014 IRP specif...
AI summary The text discusses the Total Resource Cost (TRC) approach and how the Program Administrator Cost (PAC) test is used in evaluating Demand-Side Management (DSM) programs. It references the Integrated Resource Planning (IRP) process and legislation, including the Electricity Efficiency and Conservation Restructuring Act (2014), which aims to reduce costs for NSPI customers through energy efficiency initiatives.
program costs in year t PCNt = Net participant costs in year t UICt = Utility increased supply costs in year t Specifically, at least six key components of the TRC calculation may be subject to entirely different methodological approaches...
AI summary The document discusses the Total Resource Cost (TRC) calculation, emphasizing how different regions approach the inclusion of costs and benefits associated with free riders in DSM measures. It highlights varying methodologies used in regions like Ontario, California, and Quebec.
analysis they can account for, and the benefits of measures with longer lifespans (e.g. new construction, envelope retrofits, ground source heat pumps) may literally be cut short as a result. WWW.DUNSKY.CA 12 Date Filed: March 29, 2019 NS...
AI summary The text discusses concerns about the Total Resource Cost (TRC) test's potential bias in neglecting non-energy benefits (NEBs) from demand-side management (DSM) measures. It highlights that while TRC accounts for costs, it may not fully capture benefits to participants, utilities, and society, especially from long-term measures like ground source heat pumps.
state markets could value efficiency at $20,000 per home, but if 15 This is notably, though not solely, the case where strong energy performance labeling policies are in place. WWW.DUNSKY.CA 15 Date Filed: March 29, 2019 NS Power IR-44 Att...
AI summary The text discusses the Total Resource Cost (TRC) methodology and its potential bias against energy efficiency investments by not fully accounting for non-energy benefits (NEBs). It highlights that while TRC considers all participant costs, it only accounts for a portion of benefits, leading to regulatory decisions that may undervalue efficiency measures. This bias is becoming more significant as DSM goals increase and baselines improve.
18 Date Filed: March 29, 2019 NS Power IR-44 Attachment 1 Page 23 of 46 generate, for every million dollars in DSM program spending, a net increase in provincial GDP of between $2.7 and $4.1M, and from 22 to 33 job-years of net employment....
AI summary The text discusses the economic benefits of DSM programs, noting that they generate GDP and employment. It also addresses the use of discount rates in TRC calculations, questioning whether utility WACC is appropriate or if a societal discount rate should be used instead, as seen in regions like New York and New England.
contributions to the program administrator budget). This approach – direct installation of all TRC-positive measures – could well achieve the most possible savings that are deemed cost effective from the TRC perspective, at the least total...
AI summary The text discusses the Total Resource Cost (TRC) approach in energy efficiency programs, noting that while it aims to minimize total costs, it may not effectively reflect program efficiency or how efficiently program funds are used to achieve energy savings. It also highlights concerns that focusing too much on TRC may lead to suboptimal decisions for ratepayers.
tition with procurement of supply. Only the Program Administrator Cost (PAC) test reflects the costs and benefits of DSM from a utility least-cost procurement perspective. 25 For example, if consumers value solar hot water (SHW) systems mo...
AI summary The text discusses the Program Administrator Cost (PAC) test as a method to evaluate Demand-Side Management (DSM) programs from a utility's least-cost procurement perspective. It also raises concerns about the Total Resource Cost (TRC) test potentially conflicting with public policy by not reflecting consumer preferences, which could lead to less effective energy savings.
22 Date Filed: March 29, 2019 NS Power IR-44 Attachment 1 Page 27 of 46 In Nova Scotia, this is not yet an important concern in that specific electric DSM goals are based on an assessment of the potential for cost-effective DSM, and not on...
AI summary Nova Scotia's DSM goals are based on cost-effective assessments rather than legislated targets. The Electricity Efficiency and Conservation Restructuring (2014) Act emphasizes least-cost procurement, aligning with the PAC test rather than the TRC. The use of the TRC for screening DSM was inconsistent with this policy, and the framework was modified in December 2011.
the TRC. contradictory in that all programs were required to pass the original TRC – remained in place for another five years. This framework was finally modified in December 2011. WWW.DUNSKY.CA 23 Date Filed: March 29, 2019 NS Power IR-44...
AI summary The Total Resource Cost (TRC) framework faced criticism for errors, bias, and conflicts with energy policies, leading to modifications in 2011. Many regions, including top DSM leaders, have since moved to adjust or replace the TRC with alternatives like Modified Total Resource Cost (MTRC), Program Administrator Cost (PAC), or Societal Cost Test (SCT).
Finally, one region uses the PAC alone, and one uses the SCT alone. We note an absence of consistency in the terms used, such that MTRC and SCT can to some extent be interchangeable. WWW.DUNSKY.CA 24 Date Filed: March 29, 2019 NS Power IR-...
AI summary The text highlights inconsistencies in the use of terms like MTRC and SCT across different regions, with some regions using one or the other exclusively. It also references case studies, including Massachusetts and California, that use alternative approaches to the standard TRC.
f move to the PAC test with its fully vetted inputs and while accounting for all costs. non-energy benefits in particular. inherent symmetry. RATEPAYER NESP silent on whether ratepayer Give strong consideration to value of the PAC test, VA...
AI summary The text discusses the TRC's potential misalignment with policy goals and the need to consider ratepayer dollar efficiency over societal efficiency. It also highlights the importance of the PAC test in evaluating DSM programs and mentions the Nova Scotia Electricity Efficiency and Conservation Restructuring (2014) Act.
e against the inaccuracy of different approach to avoided costs and by seeking to no value. integrate non-energy benefits in the TRC equation. Under the new approach, participant NEBs can now be included in the TRC benefits, through one of...
AI summary The document discusses the integration of non-energy benefits (NEBs) into the Test Rate Case (TRC) equation, proposing three methods: direct quantification, a 15% adder for non-low income programs, and a 30% adder for low-income programs. It also references proxy adjustments used in Vermont and the U.S. northwest for cost-effectiveness calculations.
30 Date Filed: March 29, 2019 NS Power IR-44 Attachment 1 Page 35 of 46 We note that accounting for environmental externalities goes beyond what is needed to more accurately reflect the TRC’s stated “all consumers” perspective (it is in fa...
AI summary The text discusses the importance of accounting for environmental externalities and revisiting discounting practices in the context of energy efficiency programs. It notes that environmental costs already internalized, such as compliance with regulations, should not be double-counted. It also highlights the need to reassess the use of the weighted average cost of capital (WACC) for discounting future energy savings, especially in regions with shareholder-owned utilities.
34 Date Filed: March 29, 2019 NS Power IR-44 Attachment 1 Page 39 of 46 CONCLUSIONS & RECOMMENDATIONS There are several options available to Nova Scotia to improve the value provided by cost-effectiveness screening of DSM initiatives. Some...
AI summary The document discusses options for improving the cost-effectiveness screening of DSM initiatives in Nova Scotia. It highlights concerns with the current TRC framework and suggests alternatives like the PAC, which is seen as a more balanced and familiar approach for evaluating program efficiency and value to ratepayers.
greement for Electricity Efficiency and Conservation Activities between E1 and Nova Scotia Power Inc. (DSM 2020- 2022) M09096 (E-ENS-R-19) E1 Responses to Nova Scotia Power Inc. (NS Power) NON-CONFIDENTIAL 1 from energy and capacity (inclu...
AI summary The document discusses the comparison between the 2016-2018 and 2020-2022 DSM Resource Plans, highlighting a shift in the proportion of NPV avoided costs from energy to capacity. The 2020-2022 plan shows a more balanced mix of short and long-term energy and system peak demand avoided costs.
was instead used as a constraint. The measure and program 25 mix in the Preferred Plan and Alternate scenario was guided by internal expertise and 26 program delivery experience. Date Filed: March 29, 2019 E1 (NS Power) IR-55 Page 1 of 1 E...
AI summary The document discusses assumptions made in the 2020-2022 DSM Plan, specifically the assumption of 100% participation in certain rate classes. This assumption is embedded in the Long-Term Rate and Bill Impact Analysis and is referenced in the EfficiencyOne DSM Resource Plan Application.
forecasts are made (2020-2022). 1 1 Synapse Energy Economics, Inc., Memo Re: M08946 – EfficiencyOne – 2018 Rate and Bill Impact Analysis and Model (E-ENSC-R-18), 3 December 2018 Date Filed: March 29, 2019 E1 (NS Power) IR-64 Page 1 of 1 Ef...
AI summary The document outlines EfficiencyOne's application for approval of a supply agreement with Nova Scotia Power Inc. for electricity efficiency and conservation activities from 2020 to 2022. It includes responses to NS Power and references a prior rate and bill impact analysis conducted by Synapse Energy Economics, Inc.
ement for Electricity Efficiency and Conservation Activities between E1 and Nova Scotia Power Inc. (DSM 2020- 2022) M09096 (E-ENS-R-19) E1 Responses to Nova Scotia Power Inc. (NS Power) NON-CONFIDENTIAL 1 Request IR-66: 2 3 Reference: Appe...
AI summary The document discusses EfficiencyOne's assumption that all customers in specific classes participate in BER-IR annually, citing Synapse's recommendation and historical use in filings since 2016. It also outlines the reasoning behind this assumption, including the availability of high-efficiency equipment replacements.
ement for Electricity Efficiency and Conservation Activities between E1 and Nova Scotia Power Inc. (DSM 2020- 2022) M09096 (E-ENS-R-19) E1 Responses to Nova Scotia Power Inc. (NS Power) NON-CONFIDENTIAL 1 Request IR-68: 2 3 Please provide...
AI summary The document is a response to a request for Appendix B files related to the 2020-2022 DSM Resource Plan Application by EfficiencyOne. The response indicates that the files are available on the NSUARB website under Matter number M09096.
E-9NSPI Evidence
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Additionally, the 2014 IRP's forecast of the cost of avoided energy is significantly higher than what has occurred and what is forecast to occur. The 2014 IRP included a forecast levelized cost of avoided energy of $107/MWh, but the actual...
AI summary The 2014 Integrated Resource Plan (IRP) overestimated the cost of avoided energy compared to actual and forecast marginal costs. NS Power argues that E1's proposed DSM plan is not cost-effective and would increase customer fuel costs. E1 counters that moderately-priced DSM is becoming scarcer, and NS Power must achieve further cost reductions to avoid rate increases.
Subsidies available for solar either through Halifax's Solar City program or through the non-electric customer-funded programs offered by E1 and funded by the Government of Canada will promote energy savings that provide customers with sim...
AI summary The text discusses the impact of subsidies for solar energy and non-customer funded DSM initiatives, such as heat pump conversions, on energy savings and system capacity requirements. It highlights that non-subsidized DSM efforts have provided significant energy savings and rate relief to customers without sacrificing system value.
EfficiencyOne 2017 Progress and Evaluation Report, page 17, line 13. 1 6.0 DSM NEGOTIATION 2 3 In the 2016 to 2018 DSM Supply Agreement process E1 presented a single DSM Plan to 4 the UARB for approval. The UARB in its Decision directed as...
AI summary EfficiencyOne (E1) submitted a Preferred Plan and an Alternate Plan for the 2020-2022 DSM Supply Agreement process. However, E1 did not consult with NS Power during the development of these plans and did not consider alternatives that could have informed the process. The Preferred Plan was developed using the ProCESS model with Navigant, and the Alternate Plan was a scaled-back version of the Preferred Plan.
1 8 Any assets of the Corporation acquired on or after the Implementation 2 Date must be transferred to Nova Scotia Power Incorporated for the 3 4 benefit of the customers of Nova Scotia Power Incorporated as directed by the [Review] Board...
AI summary The text discusses the transfer of assets acquired by the Corporation after implementation to Nova Scotia Power Incorporated for customer benefit, as directed by the Review Board. It also mentions the HST settlement funds collected via the DSM Rider and argues they should be returned to all customers, not just DSM participants. EfficiencyOne's use of these funds to justify higher DSM expenditures is questioned, with concerns that it may not be in customers' best interests.
9.0 DSM AS A FAM EXPENDITURE NS Power proposes that DSM costs be dealt with either as part of the FAM or in a similar manner. As NS Power has $34.05 million in its non-fuel budget apportioned to DSM, the Company proposes that any variation...
AI summary NS Power proposes that Demand Side Management (DSM) costs be managed through the Fuel Adjustment Mechanism (FAM) or a similar approach. With a non-fuel budget of $34.05 million allocated to DSM, the company suggests that any approved variations be transferred to the FAM account before the next General Rate Application (GRA), ensuring greater transparency for customers.
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.
6 Q. What conclusions did Mr. Reed reach from his benchmarking analysis? - 7 A. Mr. Reed stated that his "analysis ... supports the contention that EfficiencyOne's - proposed budget in its Preferred 2020-2022 DSM Plan is affordable, will l...
AI summary Mr. Reed concluded that EfficiencyOne's proposed DSM Plan is affordable, reduces long-term power generation costs, provides significant bill savings, and has minimal long-term rate impact.
11 Q. Do you agree with Mr. Reed's conclusions? - 12 A. No, I do not. I believe Mr. Reed's benchmarking analysis is flawed. Therefore, I question - the reasonableness of his conclusions. I recommend that the Board not put significant - wei...
AI summary The respondent disagrees with Mr. Reed's conclusions, citing flaws in his benchmarking analysis and advising the Board not to rely heavily on them regarding E1's Preferred Plan.
Q. Are you familiar with the previous Board guidance on affordability that EfficiencyOne is referring to? A. Yes. In its decision approving the 2016-2018 DSM Plan, the Board stated: The Board finds that the inclusion of Section 79L (9) of...
AI summary The Board's 2016-2018 DSM Plan decision emphasizes balancing short-term affordability with long-term cost savings, referencing Section 79L of the PUA. The Board stresses that exclusive focus on short-term rates could harm customers by neglecting long-term benefits.
Q. How did EfficiencyOne determine that its Preferred Plan is affordable? A. EfficiencyOne stated that it "considers the determination of affordability to be a balancing of short term and long term rate and bill impact considerations to el...
AI summary EfficiencyOne defines affordability by balancing short-term and long-term rate impacts on electricity customers and deems Demand Side Management (DSM) affordable if its benefits justify resource allocation. However, no affordability surveys were conducted for the Preferred Plan.
Q. Are Nova Scotians well-equipped to tolerate these increased short-term costs? - A. In my opinion, the answer is no. As mentioned previously, the six states in Mr. Reed's benchmarking analysis are among the most prosperous in the U.S. In...
AI summary Nova Scotians may struggle with increased short-term costs due to lower income compared to U.S. states and Canadian provinces. DSM measures targeting peak demand reduction could raise electricity rates but may be justified if benefits are bankable. Rate increases from 2020-2022 are projected across customer segments, with residential rates rising 3.25% and large industrial rates up to 7.78%.
Q. Can you describe the average long-term rate increases associated with EfficiencyOne's proposed DSM activities? A. Yes. From 2020 to 2035, the average annual impact will be 0.8% for residential customers, 1.1% for small general customers...
AI summary EfficiencyOne's proposed DSM activities from 2020 to 2035 are expected to result in average annual rate increases ranging from 0.8% to 1.7% across different customer classes. However, concerns are raised about the uncertainty of benefits from peak demand reduction programs and whether these justify the costs, particularly given the lack of results from previous DSM pilots and uncertain capacity avoidance capabilities.
Q. Why do you think the proposed demand reduction measures are not affordable? A. EfficiencyOne proposes to invest $3.3 million per year in the peak demand reduction program and assumes these measures will reduce peak demand by 20.7 MW ove...
AI summary EfficiencyOne's proposed demand reduction measures are questioned for their affordability due to reliance on uncertain 2019 pilot results, simplified projections, and assumptions about participation and TOU tariff adoption. The effectiveness depends heavily on TOU rate parameters, which may not provide sufficient incentive for behavior change.
$1.07/W for the 2020-2022 Preferred Plan and $1.08/W for the 2020-2022 Alternate scenario. Relative to baseline 2019, EfficiencyOne Evidence, from page 31 of 62, line 28, to page 32 of 62, line 2.
AI summary EfficiencyOne's Preferred Plan and Alternate scenario propose peak demand reductions at $1.07/W and $1.08/W respectively, relative to 2019 baseline, based on evidence from pages 31-32 of their submission.
1 Q. Did EfficiencyOne break down its proposed investment under the Preferred Plan 2 and Alternate scenario by customer class? 3 A. Yes. The proposed investment and projected peak demand reductions under both plans 4 were provided for resi...
AI summary EfficiencyOne provided a breakdown of its proposed investment and projected peak demand reductions under both the Preferred Plan and Alternate scenario, categorized by residential, business, not-for-profit, and institutional (BNI) customer classes.
LITIGATION SUPPORT Represented Pio Pico combined cycle plant in its lawsuit against San Diego Gas & Electric Co. regarding PPA breach. Represented NJ BPU on LCAPP litigation regarding the standard contract awards to LCAPP awardees, i.e., H...
AI summary The document outlines litigation support work across multiple jurisdictions, including representation in PPA disputes, expert testimony in rate cases, and analysis of energy infrastructure projects. Key entities involved include utilities, regulatory bodies, and legal counsel, with cases spanning power generation, pipeline transportation, and merger reviews.
RETAIL & WHOLESALE CHOICE Formulated risk management option programs for University of Rochester, Cornell University, Phelps Dodge, and Visy Paper. Negotiated gas supply and transportation contracts for Texas Instruments. Profiled and aggr...
AI summary The text details energy-related activities including contract negotiations, RFP design, and energy procurement for various organizations across North America and internationally. Key activities involve gas and electricity contracts, rate design, and representation in regulatory transitions, with a focus on universities, utilities, and industrial clients.
RATE DESIGN Evaluated NGrid's imbalance resolution, daily scheduling procedures, and penalty exposure for PSEG-Long Island associated with gas/electric scheduling. Evaluated open access transmission tariffs in PJM, New York and New England...
AI summary The text outlines evaluations of rate design, transmission tariffs, and utility rate structures across multiple jurisdictions. Key activities include assessing NGrid's scheduling procedures, analyzing PJM and New York transmission tariffs, evaluating Noreste's distribution rates in Panama, and studying utility unbundling impacts. Additional work involves transportation rate calculations, marginal cost studies, and assessments of cogeneration and off-peak rate proposals.
Revisions to Rate and Bill Impact Analysis Confidential for Discussion Purposes
AI summary The document outlines revisions to Rate and Bill Impact Analysis, though no detailed content is provided. It is marked as confidential for discussion purposes, suggesting ongoing regulatory proceedings in Nova Scotia related to utility rate structures and billing impacts.
2019 DSM Resource Plan (M08604) UARB Order (July 18, 2018) […]6. NSPI is also directed to provide E1, and the DSM Advisory Group, its suggested revisions to the rate and bill impact analysis (RBIA) by September 30, 2018.
AI summary The UARB Order (July 18, 2018) directs NSPI to submit revised rate and bill impact analysis (RBIA) to E1 and the DSM Advisory Group by September 30, 2018, as part of the 2019 DSM Resource Plan (M08604) proceeding.
RBIA Observations - The apportionment of DSM costs and benefits to rate classes in the current RBIA methodology uses a static allocator factor based on class shares in one historic year (2014 test year) throughout the RBIA period of 2011-2...
AI summary The current RBIA methodology's static allocation of DSM costs and benefits across rate classes, based on 2014 data, fails to account for dynamic changes in class usage, line losses, and long-term load forecasts. Additionally, the use of levelized fuel costs extending beyond the RBIA's 2011-2033 timeframe overstates early savings and understates later ones.
Proposed Revisions to RBIA Methodology - To the extent practical, the RBIA should reflect the Cost of Service Study methodology in the allocation of forgone recovery of fixed system costs and benefits of DSM programs. - Annual fuel costs r...
AI summary Proposed revisions to the Rate and Bill Impact Analysis (RBIA) methodology aim to align with the Cost of Service Study approach, allocating DSM program costs and benefits based on energy usage and demand shares, using a top-down revenue determination process similar to General Rate Adjustments (GRAs). Enhancements include class line loss considerations and aligning customer participation with energy savings.
Illustration of Differences in Annual Rate Changes as a Result of Proposed Changes in RBIA Methodology
AI summary The document illustrates differences in annual rate changes resulting from proposed changes in the RBIA methodology. It includes figures and images but no textual analysis, focusing on regulatory proceedings in Nova Scotia related to rate and bill impact assessments.
Illustration of Cumulative Differences in Rate Changes as a Result of Proposed Changes in RBIA Methodology
AI summary The document illustrates cumulative differences in rate changes resulting from proposed modifications to the RBIA (Rate and Bill Impact Analysis) methodology. Visual figures (Figure 2 and 3) are referenced but not described in the text, focusing instead on the analytical impact of methodological adjustments on rate structures.
Illustration of Differences in Average Bill Impacts as a Result of Proposed Changes in RBIA Methodology
AI summary The document illustrates differences in average bill impacts resulting from proposed changes to the RBIA (Rate and Bill Impact Analysis) methodology in a Nova Scotia regulatory proceeding. It focuses on analyzing how revised methodologies affect customer bills, though specific numerical data or arguments are not detailed in the provided text.
Under NS Power's approach: - 1) Non-participants show slightly more diversified bill effects not visible due to scale of the graph. - 2) Participants show higher bill savings due to reflection of changing number of participating customers...
AI summary NS Power's approach highlights that DSM participants achieve higher bill savings through targeted programs, while non-participants show less visible diversification. Customer classes face initial rate increases despite long-term bill reductions. Graph scale limitations obscure full bill effect visibility.
Updated Avoided Fuel Costs - Recommend use of annual avoided fuel costs from IRP studies - 2011-2014 from the 2009 IRP. - 2015-2033 from the 2014 IRP. - The IRP calculates the difference in Partial Revenue Requirements (PRR) using Strategi...
AI summary The document recommends using annual avoided fuel costs from IRP studies (2009 for 2011-2014, 2014 for 2015-2033). PRR calculations consider DSM effects, including fuel, purchased power, and capital costs. NSPI confirmed new resource costs are amortized over their lifetime, as requested by UARB in a March 6, 2017 letter.
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.
Illustration of differences in Rate Changes as a Result of Changes in Treatment of Avoided Generation Costs
AI summary The document illustrates differences in rate changes resulting from varying treatments of avoided generation costs. It includes figures and images from page 153, highlighting analysis related to regulatory proceedings in Nova Scotia.
Illustration of Cumulative Differences in Rate Changes as a Result of Changes in Treatment of Avoided Generation Costs
AI summary The document illustrates cumulative differences in rate changes resulting from varying treatments of avoided generation costs. Figures on page 154 (labeled Figure 2, Figure 3, and Picture 4) are referenced but not described in textual detail, focusing instead on visual representation of rate impacts.
Escalation Rate - DSMAG to "Review the current energy and demand escalation rate (2.7% per year) and select a new escalation rate if appropriate." - NS Power proposes simulated increases at the rate of inflation for 2020 – 2030.
AI summary DSMAG is tasked with reviewing Nova Scotia's current energy and demand escalation rate (2.7% annually) and proposing a new rate if needed. NS Power suggests aligning future rates with inflation between 2020 and 2030.
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.
E-18E1 (Synapse) RIR-1 to RIR-47
46 passages
NON-CONFIDENTIAL 1 Request IR-01: 2 3 Please describe how EfficiencyOne proposes to recover the costs of its proposed programs. 4 5 a. Over what time period would costs be recovered? 6 7 b. How would costs be allocated to different rate cl...
AI summary EfficiencyOne is asked about its cost recovery methodology for its proposed programs, including the time period for recovery, allocation across rate classes, and the current process. It explains that prior to 2015, it used a true-up process with the DCRR, but this changed in 2015 when DSM costs were incorporated into NS Power's non-fuel costs.
NON-CONFIDENTIAL Request IR-08: - Refer to EfficiencyOne's evidence, page 60, lines 9 to 12. Are water savings included in a) the - Preferred Plan and b) the Alternate Plan? If yes, for each plan please indicate how these - benefits are ca...
AI summary EfficiencyOne confirms water savings are included in both the Preferred Plan and Alternate Scenario, though an incorrect conversion factor led to underestimation. They provided corrected methodologies using Halifax Water rates (adjusted for inflation) and note water benefits constitute 0.0002% of total benefits. No model modifications are sought despite the error.
7 D 4 69 R ate Impa ct Partici pant Bill Impact Non-Participant Bill Impact Rate Class Low (-25%) Base High (+25%) Low (-25%) Base High (+25%) Low (-25%) Base High (+25%) Residential 1.6% 0.3% -1.1% -5.7% -6.8% -7.9% 1.5% 0.2% -1.0% Small...
AI summary The table provides a breakdown of bill impact percentages for different rate classes under various participation scenarios. It includes low, base, and high impact percentages for participants and non-participants. The data is sourced from a 2017 rate and bill impact analysis by EfficiencyOne.
6 D. J. GI R ate Impa ct Partici ipant Bill Impact Non-Participant Bill Impact Rate Class Low (-25%) Base High (+25%) Low (-25%) Base High (+25%) Low (-25%) Base High (+25%) Residential 0.7% 0.3% -0.1% -6.5% -6.8% -7.1% 0.6% 0.2% -0.1% Sma...
AI summary The table presents rate impact and bill impact percentages for different rate classes under various scenarios. It shows the effect of rate changes on participants and non-participants, with specific figures for each category. The data is sourced from a 2017 analysis by EfficiencyOne referenced as M08372.
Request IR-31: - Refer to Page 6 of 37 of Appendix B, which states that EfficiencyOne applies "a - conservative escalation rate of 2.0 percent per year" to its avoided transmission and - distribution costs. What is this escalation rate bas...
AI summary EfficiencyOne uses a 2.0% annual escalation rate for avoided transmission and distribution costs, justified as reflecting the Bank of Canada's inflation target, after analyzing historical data showing higher rates over a short period.
1 page 3 of 4, in the "New Issue 2" section, Mr. Chernick discusses potential issues with 2 NS Power's derivation of its avoided T&D cost estimates. Date Filed: May 13, 2019 E1 (Synapse) IR-33 Page 2 of 2 PO Box 910 ● Halifax, Nova Scotia...
AI summary This letter from Jennifer Parker of NS Power provides initial estimates for transmission and distribution avoided costs ($8,365.06/MW and $3,524.35/MW, respectively) for use in EfficiencyOne's historic Rate and Bill Impact Analysis model for M07543 – 2016-2018 DSM Deferred Matters. The methodology is detailed in Appendix A.
ENS Issue 1d: further breakdown of lost revenues and avoided costs into those arising from fuel and fixed rate components I agree that NS Power needs to provide more explanation of its approach.
AI summary The speaker agrees that NSP requires further explanation regarding its approach to breaking down lost revenues and avoided costs into fuel and fixed rate components under ENS Issue 1d.
ENS Issue 1g: Energy and demand cost escalation rate The 2.7% escalation rate seems appropriate.
AI summary The proposed 2.7% energy and demand cost escalation rate is deemed appropriate for Nova Scotia's regulatory proceeding. This rate pertains to the Energy and Demand Cost Escalation Rate (ENS Issue 1g) under consideration by the Nova Scotia Utility and Review Board.
DSMAG Issue 2: Treatment of Municipal Electric Utilities Treating the municipal utilities as customers in Rate 24 seems reasonable. Reduced energy usage by the MEU customers would reduce NS Power revenues at the Rate 24 tariff rates.
AI summary The text discusses treating municipal electric utilities as customers under Rate 24, noting that reduced energy usage by these customers would lower NS Power's revenues at the Rate 24 tariff rates.
DSMAG Issue 3: Expand the participation assumptions section within the report I remain concerned that NS Power has not made more progress in developing the RBIA model, considering NS Power's concern about rate pressure from the DSM program...
AI summary The text expresses concern that NS Power has not sufficiently advanced the RBIA model development, citing NS Power's own concerns about rate pressure from DSM programs as a potential barrier to progress.
Both annual rate changes and cumulative changes are useful parameters. NON-CONFIDENTIAL 1 Request IR-34: 2 3 Refer to Section 3.7.1 (No-DSM Scenario Rates) on Page 11 of 37 of Appendix B. 4 5 a. How was the "approximate Program Cost Recove...
AI summary The document discusses the calculation of the 'approximate Program Cost Recovery amount' for 2019 and the basis for the 'demand rate escalation factor of 2.7 percent'. It explains that the cost recovery was calculated by dividing the estimated 2019 DSM investment by class by the estimated 2019 with-DSM class energy consumption, and that the escalation factor was based on historical and forecasted rate escalation data.
2019 RBIA Updates
AI summary The document heading indicates updates to the Rate and Bill Impact Analysis (RBIA) in 2019, though no detailed content is provided in the text. Key entities include Nova Scotia Power (NSP) and the Nova Scotia Utility and Review Board (NSUARB), with acronyms related to energy regulation and housing mentioned.
Purpose Propose enhancements to EfficiencyOne's Rate and Bill Impact Analysis (RBIA) model and report.
AI summary The document outlines the purpose of proposing enhancements to EfficiencyOne's Rate and Bill Impact Analysis (RBIA) model and report, aiming to improve its methodology and outcomes.
Overview - 1. Describe issues assigned to EfficiencyOne and the DSMAG from the 2017 RBIA Summary of Actions, with proposed actions for each. - 2. Describe other new issues raised by NS Power and EfficiencyOne since 2017, with proposed acti...
AI summary The document outlines two tasks: addressing issues assigned to EfficiencyOne and DSMAG from the 2017 RBIA Summary of Actions, and describing new issues raised by NS Power and EfficiencyOne since 2017, each with proposed actions.
Source Information for this Discussion - 2016 Consensus Agreement - Stakeholder comments, EfficiencyOne replies, and UARB letters re: EfficiencyOne's 2017 and 2018 historical RBIA filings - Additional suggestions from NS Power in October 2...
AI summary The discussion references the 2016 Consensus Agreement, stakeholder comments, EfficiencyOne's 2017-2018 RBIA filings, NS Power's 2018 suggestions, and the introduction of New Issues #1 and #6 in a Nova Scotia regulatory proceeding.
Actions for ENS - 1. Work with NS Power to explore issues, including: - a. use of annual avoided fuel costs; - use of marginal avoided fuel costs instead of those made relative to a no-DSM scenario; - c. timeframe for levelization of avoid...
AI summary The document outlines actions for ENS, including collaborating with NS Power on avoided fuel cost methodologies, refining class allocation ratios, addressing model errors, and expanding participation assumptions. It also mentions discussions with Synapse and Resource Insight regarding model accuracy and participation studies.
Actions for the DSM Advisory Group - Review and discuss results of ENS and NS Power collaboration on issues listed above, as well as any other outstanding issues or questions. - Discuss treatment of Municipal Electric Utilities as customer...
AI summary The DSM Advisory Group will review collaboration outcomes between ENS and NS Power, discuss municipal electric utilities' treatment in the RBIA model, and address the development and initial use of NS Power's rate impact model.
New Issues New Issue #1 – Which avoided costs to use when avoided cost estimates change New Issue #2 – Source of avoided costs for 2020-2022 DSM Plan RBIA New Issue #3 – Line losses New Issue #4 – Expiry of customers New Issue #5 – Average...
AI summary Six new issues are raised in the proceeding: determining avoided costs when estimates change, sourcing avoided costs for the 2020-2022 DSM Plan RBIA, line losses, customer expiry, weighted average bill impact graphs, and clarifying rate impacts in NS Power's DSMAG Presentation. NSP and NSUARB are central to the discussion.
2017_ENS_1a) Use of annual avoided fuel costs
AI summary The document discusses the use of annual avoided fuel costs in a Nova Scotia regulatory proceeding, involving Nova Scotia Power (NSP) and the Nova Scotia Utility and Review Board (NSUARB). Key considerations include Demand Side Management (DSM), Advanced Metering Infrastructure (AMI), and related methodologies for cost allocation and rate design.
Considerations - 2016 Consensus Agreement indicated that levelized costs would be used - NS Power has proposed that annual fuel costs be used - Main risk of using annual avoided costs in the model is that it will introduce greater volatili...
AI summary The 2016 Consensus Agreement advocated for levelized costs, but NSP proposes annual fuel costs. Using annual avoided costs risks volatility in output data, partly due to DSM effects and non-DSM factors like fuel price fluctuations. The model shows escalating rates due to non-levelized fuel cost recovery mechanisms.
Issue Should marginal fuel costs be used in place of IRP avoided fuel costs?
AI summary The proceeding examines whether marginal fuel costs should replace IRP avoided fuel costs in regulatory calculations. This issue involves Nova Scotia Power (NSP) and the Nova Scotia Utility and Review Board (NSUARB), focusing on fuel cost methodology and its implications for rate design and cost allocation.
Considerations - Marginal fuel costs are similar, but not the same as IRP avoided fuel costs: - Marginal fuel costs (in $/MWh) represent the incremental fuel cost savings that would be realized by reducing the actual energy load by a margi...
AI summary The text distinguishes between marginal fuel costs and IRP avoided fuel costs, noting NS Power's proposal to use marginal costs for rate estimation rather than replacing IRP avoided costs. It clarifies that NS Power's 2017 proposal was mischaracterized, emphasizing the use of marginal costs within their rate-impact framework. The discussion concludes that marginal costs should not replace IRP avoided costs in DSM analyses.
2017_ENS_1c) Timeframe for levelization of avoided costs
AI summary The document discusses the timeframe for levelizing avoided costs in the context of Nova Scotia's regulatory proceedings. Key entities involved include Nova Scotia Power (NSP) and the Nova Scotia Utility and Review Board (NSUARB). The analysis focuses on methodologies for allocating avoided costs over time, potentially impacting rate design and demand-side management initiatives.
Considerations - Historically EfficiencyOne has used the levelized values provided by NS Power from each IRP, which were levelized over the study period of the IRP - EfficiencyOne is in possession of the annual avoided capacity costs from...
AI summary EfficiencyOne proposes to levelize capacity costs over the period they apply, using the same method for transmission/distribution costs modeled in IRPs, while ensuring confidentiality by performing calculations offline and only sharing levelized values in the RBIA model.
2017_ENS_1d) Further breakdown of lost revenues and avoided costs into those arising from fuel and fixed rate components
AI summary The document provides a breakdown of lost revenues and avoided costs from fuel and fixed rate components in Nova Scotia's energy sector. It involves analysis by Nova Scotia Power (NSP) and the Nova Scotia Utility and Review Board (NSUARB), focusing on revenue impacts from demand-side management (DSM) programs and rate design considerations.
Considerations - EfficiencyOne held a series of stakeholder consultations in 2016 to develop a stakeholder-supported means of estimating the fixed cost adjustment - NS Power did not make recommendations on how this could be achieved within...
AI summary EfficiencyOne conducted 2016 consultations on fixed cost adjustment methods. NS Power initially proposed its own model, while Synapse, Resource Insight, and Drazen Consulting suggested a transparent method without detailed fixed cost data. NS Power later altered RBIA models using new approaches but withheld fixed cost data during DSMAG's advisory phase, potentially influencing the method selection.
Issue • Should EfficiencyOne adopt NS Power's proposed means of allocating lost revenues and avoided costs to rate classes?
AI summary The issue concerns whether EfficiencyOne should adopt Nova Scotia Power's proposed method for allocating lost revenues and avoided costs to rate classes, as considered by the Nova Scotia Utility and Review Board.
Considerations - The model currently uses a single set of rate class allocation ratios, developed for a single year (2013), but applied to all years under the assumption that class consumption and number of customers will not change signif...
AI summary The document discusses concerns about the use of outdated rate class allocation ratios and model complexity in NSP's methodology. Stakeholders debate whether the model should mirror Cost of Service Study (COSS) methods for accuracy or if simpler approaches suffice. Key issues include transparency, data updates, confidentiality, and collaboration with EfficiencyOne and DSMAG. Options include maintaining the current method or further discussing NSP's proposal for future Rate and Bill Impact Analyses (RBIAs).
2017_ENS_1f) Modeling of billed demand reductions
AI summary The document addresses the modeling of billed demand reductions within a Nova Scotia regulatory proceeding, focusing on methodologies for forecasting demand-side management impacts. It involves analysis of programs like AMI and DSM, with implications for utility rate structures and cost-of-service studies.
Considerations - Evaluated demand savings are measured at the time of the overall system peak - Customers are charged based on their individual system peak, which is not related to the overall system peak - Underlying issue: customer deman...
AI summary The text discusses challenges in aligning customer demand charges with system peak costs, noting current methods assume proportional relationships between customer and system peaks. It suggests new AMI-based rate designs could improve accuracy but recommends maintaining existing methods until post-AMI rate reforms or EfficiencyOne's peak savings quantification capabilities mature.
2017_ENS_1g) The energy and demand cost escalation rate
AI summary The 2017 regulatory proceeding addresses the energy and demand cost escalation rate, focusing on Nova Scotia Power's (NSP) rate structures and potential impacts on consumers, with oversight by the Nova Scotia Utility and Review Board (NSUARB).
Proposed Action Continue using 2.7% per year
AI summary The proposed action involves continuing the use of a 2.7% annual growth rate, likely related to cost or rate structures in a Nova Scotia regulatory proceeding. The text is brief, focusing on maintaining this percentage without additional context on rationale or implications.
2017_DSMAG_2) Discuss treatment of Municipal Electric Utilities as customers of NS Power within the RBIA model
AI summary The document discusses the treatment of Municipal Electric Utilities as customers of Nova Scotia Power (NSP) within the Rate and Bill Impact Analysis (RBIA) model. Key considerations involve regulatory frameworks, cost allocation, and the role of the Nova Scotia Utility and Review Board (NSUARB) in oversight.
Considerations - In 2016, while developing a method to account for the fixed cost adjustment, NS Power shared an early, incomplete version of its model with the DSMAG; however it was shared in the context of suggesting that EfficiencyOne u...
AI summary NSP shared an incomplete rate impact model with DSMAG in 2016 but did not involve them in its UARB-ordered model development. EfficiencyOne repeatedly requested NSP to collaborate with DSMAG on the model to align with the 2016 Consensus Agreement, which required DSMAG involvement prior to DSM Plan filings. NSP instead prepared altered versions of EfficiencyOne's model and withheld its own UARB-ordered model from stakeholders.
Proposed Action Await information from NS Power on its rate impact model
AI summary The NSUARB is awaiting information from Nova Scotia Power regarding its rate impact model as part of the regulatory proceeding. The model's details are critical for assessing the financial implications of proposed actions.
Considerations - We currently have long-term avoided cost estimates from the 2009 IRP Update and 2014 IRP; will soon have a new set from the 2020 IRP - Historically, the RBIA has applied the same avoided cost rates to all DSM savings in a...
AI summary The document discusses the application of avoided cost estimates from different Integrated Resource Plan (IRP) updates (2009, 2014, 2020) to Demand Side Management (DSM) savings in the Rate and Bill Impact Analysis (RBIA). Historically, the same avoided cost rates were applied to all DSM savings in a given year, but the text proposes using the IRP avoided costs specific to the program year's cost-justification. This change will not affect the 2020-2022 DSM Plan RBIA but will be implemented prior to the 2019 Historical RBIA.
NEW_2) Source of avoided costs for 2020-2022 DSM Plan RBIA
AI summary The document addresses the source of avoided costs for the 2020-2022 Demand Side Management (DSM) Plan Rate and Bill Impact Analysis (RBIA) under Nova Scotia Power's regulatory proceeding with the Nova Scotia Utility and Review Board (NSUARB).
Issue Which sets of avoided costs should be used for the 2020-2022 DSM Plan RBIA?
AI summary The issue concerns determining the appropriate avoided costs for the 2020-2022 Demand Side Management (DSM) Plan Rate and Bill Impact Analysis (RBIA) under Nova Scotia regulatory proceedings.
Considerations - The analysis will only include DSM proposed in the DSM Plan application (2020-2022 program years) - The UARB directed NS Power to update avoided costs as required by EfficiencyOne for use in preparation of the 2020-2022 DS...
AI summary The analysis focuses on DSM proposals for 2020-2022, with the UARB directing NS Power to update avoided costs per EfficiencyOne. Synapse recommends using costs from the Generation Optimization matter, while NS Power advocates retaining 2014 IRP avoided costs and updated transmission/distribution costs. EfficiencyOne supports NS Power’s position in the 2018 RBIA matter.
Considerations - Savings reported by EfficiencyOne are "at generator" - "At generator" savings can be converted to "at meter" by subtracting line losses - Historically the model has used a single set of savings, which were "at generator" -...
AI summary The text discusses the distinction between 'at generator' and 'at meter' savings, noting that historical models used 'at generator' savings for avoided costs, while 'at meter' savings (adjusted for line losses) are used for lost revenues and customer bill impacts. EfficiencyOne's reported savings are framed as 'at generator' in the current model.
Considerations - Historically, the model has calculated a running annual total of cumulative unique participants, without any expiry of participants - However, savings for each class do expire at the end of the weighted-average measure lif...
AI summary The current method counts unique DSM participants without expiry, but NS Power suggests aligning participant counts with expiring energy savings. However, this could undercount participants and overstate savings. The current method is preferred as it's conservative and accurate. Future steps include associating participants with NS Power accounts and considering dropping early years from RBIA reports.
Issue In some cases an arithmetic average of multi-year bill impacts is used instead of a weighted average
AI summary The text highlights a discrepancy in methodology where an arithmetic average, rather than a weighted average, is applied to multi-year bill impacts in certain cases, potentially affecting the accuracy of cost or service analyses.
Considerations - Bill impact graphs that show multiple rate classes in the same image use an arithmetic average - Bill impact graphs for each individual class use a weighted average - This is an error; the weighted average should have been...
AI summary The text identifies an error in the use of arithmetic averages for bill impact graphs displaying multiple rate classes, recommending the use of weighted averages instead.
Proposed action Use a weighted average of bill impacts for all multi-year averages
AI summary The proposed action suggests using a weighted average of bill impacts across all multi-year periods, likely to standardize or simplify the calculation of financial effects over time in regulatory proceedings.
NEW_6) Clarifying rate impacts in NS Power's DSMAG Presentation In its October 2018 RBIA presentation to the DSMAG, NS Power included several "cumulative rate impact" graphs that it generated from its altered version of EfficiencyOne's 201...
AI summary EfficiencyOne clarifies that NS Power's 2018 RBIA presentation to DSMAG used altered versions of EfficiencyOne's 2017 model to create misleading 'cumulative rate impact' graphs. These graphs incorrectly sum percentage rate impacts across years, exaggerating long-term effects (e.g., a 1% annual increase appears as 1%, 2%, 3% over years).
Summary of proposed actions # Item Proposed Action 2017_ENS_5 Consolidate model inputs which are common to all classes on a separate Excel tab Most common inputs are entered on the 'R-Inputs' tab; Inputs tabs for other classes link back to...
AI summary The document outlines proposed actions related to model input consolidation, error investigation, and discussions on the treatment of Municipal Electric Utilities and rate impact models. It also addresses the use of avoided costs when estimates change.