E-4EfficienyOne Application
36 passages
1 Following the UARB’s approval of this Consensus Agreement, NS Power initiated a 2 regulatory process (M07151) to determine the appropriate cost allocation and recovery 3 mechanisms for the 2016-2018 DSM Resource Plan. Changes to the Publ...
AI summary Following the UARB’s approval of a Consensus Agreement, NS Power initiated a regulatory process (M07151) to determine cost allocation and recovery mechanisms for the 2016-2018 DSM Resource Plan. Changes to the Public Utilities Act removed NS Power’s ability to collect a DSM Cost Recovery Rider and made ENS a fuel supplier. The Electricity Plan Implementation (2015) Act introduced a continuation approach for the 2019 DSM investment, setting a cap of $34,050,000 and extending the ENS Grant of Franchise.
1 2.2 Treatment of Rate and Bill Impact Analysis 2 3 ENS has conducted a forward-looking Rate and Bill Impact Analysis (RBIA) for the 2019 4 DSM Resource Plan as it normally would with a new multi-year Plan filing. The analysis 5 shows tha...
AI summary ENS has conducted a Rate and Bill Impact Analysis (RBIA) for the 2019 DSM Resource Plan, showing that expected rate and bill effects are in line with previously approved DSM activities. The planned DSM spending is less than DSM cost recovery in 2019 rates, meaning no incremental costs will need recovery after the Rate Stabilization Period. A historical RBIA will also be filed in October 2019, and ENS will continue working with the DSM Advisory Group and Synapse to improve the model.
1 • Program impact and process evaluations; 2 o Evaluated savings results; 3 o Delivery Agent input; and 4 o Participant feedback. 5 6 EfficiencyOne’s objective in using this approach is to achieve cost-effective and affordable 7 energy an...
AI summary EfficiencyOne aims to achieve cost-effective and affordable energy and demand savings by continuing the 2016-2018 Plan approach, ensuring program stability, minimizing costs, and aligning with legislative requirements and ratepayers' best interests.
1 1. INTRODUCTION 2 3 This analysis provides a high-level estimate of the impact of Demand-Side Management 4 (DSM) activities proposed within EfficiencyOne’s 2019 DSM Resource Plan on customer 5 rates and bills, within each participating r...
AI summary This document outlines a rate and bill impact analysis (RBIA) of EfficiencyOne’s 2019 DSM Resource Plan, estimating the impact of DSM activities on customer rates and bills from 2019 to 2032. It considers participation in DSM programs and the rate impacts of DSM investment, providing historical participation data for reference.
iled on November 14, 2013 along with a detailed methodology 26 report, is designed to show the average, long-term effect of DSM on rates and bills. The 27 model was developed by ENS Corporation and Elenchus Research Associates and built on...
AI summary The document describes a model developed by ENS Corporation and Elenchus Research Associates to analyze the long-term impact of Demand Side Management (DSM) on rates and bills. The model was reviewed and revised multiple times, with the current version being identical to the one used in EfficiencyOne’s 2017 RBIA filing. Attachments provide detailed outputs, assumptions, and equations.
1 2.5 Calculating Rate Impacts 2 3 No-new-DSM scenario rates 4 For 2019, the forecasted rates as part of the rate stability period are used as the no-new- 5 DSM rates, since they are ‘locked in’ and will be active whether or not any increm...
AI summary The text outlines the methodology for calculating rate impacts under both the no-new-DSM and DSM scenarios. It explains how forecasted rates for 2019 are used as a baseline and how energy and demand rates escalate annually. The DSM scenario incorporates cost recovery, lost revenue, and avoided costs to determine rate changes.
1 The model does not forecast the timing of general rate applications, or the occurrence of 2 any future rate adjustments. In this way, the DSM effects are isolated from all other utility 3 effects impacting rates, and the rate effects pre...
AI summary The text discusses the modeling of demand-side management (DSM) effects on rates, focusing on program cost recovery, avoided costs, and lost revenue recovery. It explains how DSM expenditures are allocated to rate classes and converted into a $/kWh component, as well as the calculation of avoided costs and lost revenue from peak demand reductions.
1 is the same as the ratio between annual system coincident peak demand savings and billed 2 demand savings (i.e. the ratio for savings is assumed to be the same as the ratio for load). 3 4 Allocation of avoided costs and lost NS Power rev...
AI summary The text discusses the allocation of avoided costs and lost revenues to rate classes, the calculation of bill impacts for non-participant and participant consumption, and the treatment of transformer credits in rate modeling. It outlines how energy and demand rates are adjusted based on DSM scenarios and the assumptions used for modeling consumption and savings.
1 3. 2019 ANALYSIS RESULTS 2 3 Summary sheets for rate, bill, and participation impacts for each applicable rate class are 4 included in Attachment 1. The graphs presented on the summary sheets have been selected 5 based on representative...
AI summary The 2019 analysis evaluates the rate, bill, and participation impacts of DSM programs across all rate classes. It finds that avoided costs and lost revenues from DSM programs balance out over time, with a slight upward rate pressure of 0.35% to 0.55% in most classes. The analysis uses levelized avoided costs to model long-term effects, and does not account for the current rate stabilization period or existing DSM cost recovery.
26 recovery and lost revenue recovery amounts, but the avoided costs impact is smoothed by 27 the use of levelized avoided costs. Table 1 presents the average rate impacts over the study 28 period, compared to the results of the historical...
AI summary The document discusses the rate impacts of the 2019 DSM Plan, noting that the avoided costs are smoothed using levelized avoided costs. The average rate impacts over the study period are less than a tenth of a cent, with a focus on residential rate impacts.
4% Residential Monthly Rate Impacts (%) Small General 3% General Large General 2% Small Industrial Medium Industrial 1% Large Industrial Municipal 0% -1% 2019 2020 2021 2022 2023 2024 2025
AI summary The document presents a graphical representation of monthly rate impacts across different customer categories from 2019 to 2025, showing percentage changes over time.
7 8 Table 1: Average Rate Impact compared to No-New-DSM Scenario, 2017 Historical 9 to 2019 Forecast Results Comparison 2017 Historical RBIA Result 2019 Plan RBIA Result (Average Impact over 2011-2033) (Average Impact over 2019-2032) Rate...
AI summary The table compares the average rate impact of the 2017 historical DSM scenario with the 2019 forecast results, showing the rate changes in cents per kWh and percentage impacts across various rate classes from residential to large industrial users.
1 • Very high 2011 participation in Efficient Products (Residential) is due to the fact 2 that ENS’s Commercial Direct Install program was categorized as Efficient 3 Products (Residential) in this year only. In 2012 it was re-categorized u...
AI summary The text discusses the categorization of ENS’s Commercial Direct Install program under Efficient Products (Residential) in 2011, leading to high participation rates, and its re-categorization under Small Business Direct Install in 2012. It also outlines the impact of the General class rate changes on participant and non-participant bills, with participants seeing a 1.6% decrease and non-participants a 0.4% increase.
1 • Participants in the Large General class see an 2 average bill decrease of 1.2% over the study Large General 3 period. 0.4% Rates 4 • Non-Participants see an average bill increase 1.2% Participant bills 5 of 0.4% over the study peri...
AI summary The Large General rate class shows a 1.2% average bill decrease for participants and a 0.4% increase for non-participants over the study period. The rate impact is a 0.4% increase, or 0.044 cents/kWh. The class reached 100% participation in 2011. The Small Industrial class, consisting of Rate Code 21, shows a 2.5% average bill decrease for participants.
1 • Participants in the Large Industrial class see an average bill decrease of 0.2% over 2 the study period. 3 • Non-Participants see an average bill increase of 0.3% over the study period. 4 • The average rate impact over the study period...
AI summary The text discusses the impact of energy efficiency programs on different customer classes. Large Industrial participants saw a slight bill decrease, while non-participants experienced a slight increase. In the Municipal class, participants saw a significant bill decrease, and the average rate impact was an increase of 0.4%. The analysis simplifies individual customer effects due to participation across all municipal utilities.
Rate and Bill Impacts of DSM on the Residential Class
AI summary This section discusses the rate and bill impacts of Demand Side Management (DSM) on the residential class, analyzing how DSM programs affect customer rates and overall billing structures.
1 Impacts of DSM on the Residential Rate Class 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 Units 2 Incremental DSM Savings 53.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0...
AI summary The table presents the impacts of Demand Side Management (DSM) on the residential rate class from 2019 to 2040. It shows incremental and cumulative DSM savings in gigawatt-hours (GWh) and DSM costs in dollars. Savings remain constant at 53.7 GWh from 2019 to 2031, after which they drop to zero, while DSM costs are only recorded in 2019 and are zero in all other years.
Annual Average Savings per Participant (Current Year) 470 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8 kWh 9 Cumulative Cost per kWh Saved 31.749 31.749 31.749 31.749 31.749 31.749 31.749 31.749 31.749 31.749 31.749 31.749 31.749 31.749 0.0...
AI summary The text presents data on annual average savings per participant and cumulative cost per kWh saved, highlighting metrics related to energy efficiency programs. It also references changes in residential rates as a result of demand-side management (DSM).
Monthly Bill Impacts (%) Change in Rates (¢/kWh)
AI summary The text presents a table showing monthly bill impacts in percentages and changes in rates in cents per kilowatt-hour, likely related to rate adjustments or tariff changes in a regulatory proceeding.
are allocated equally to all customers in the class. 27 Year-over-year change in Residential Rates with and without DSM Average Change in Residential Bills in Comparison to a No-DSM Scenario 28 5.0% $4 29 4.5% 30 $2 Change in Rates over pr...
AI summary The text discusses the year-over-year change in residential rates with and without demand-side management (DSM), along with the average change in residential bills compared to a no-DSM scenario, showing a 5% increase in rates and a $4 increase in bills.
2031 2032 39 40 No-DSM year-over-year rate impact DSM year-over-year rate impact Non-Participants Total Customers Participants 41 42 This graph shows monthly bill impacts relative to the no-DSM scenario in absolute terms, for the same grou...
AI summary The text presents two graphs: one showing monthly bill impacts relative to a no-DSM scenario and another showing annual percentage changes in rates for DSM and no-DSM scenarios. These visuals compare rate impacts for different customer groups.
, for the same groups of customers as the graph shown above it. This graph shows the annual percentage change in rates over the previous year, for both the DSM and no-DSM scenarios. 43 44
AI summary The text discusses a graph illustrating the annual percentage change in rates over the previous year for both the DSM and no-DSM scenarios, highlighting the impact of demand-side management on rate changes.
Rate and Bill Impacts of DSM on the Residential Class
AI summary The document discusses the rate and bill impacts of Demand Side Management (DSM) on the residential class, analyzing how DSM programs affect electricity rates and customer bills.
2030 2031 2032 22 Participants Non-Participants Total Customers 23 Lost Revenue Program Costs Avoided Costs Net Rate Impact Average Net Rate Impact (2019-2032) Participant Average (2019-2032) Non-Participant Average (2019-2032) Total Custo...
AI summary The text presents a table with data related to participants and non-participants in a program, including metrics such as lost revenue, program costs, avoided costs, and net rate impact from 2019 to 2032. It highlights average net rate impact and participant averages over the period.
he impact of lost revenues due to reduced sales. Purple bars show the impact of avoided utility costs. The blue line is the net rate effect (sum of positive and negative rate pressures), which are allocated equally to all customers in the...
AI summary The text discusses the impact of Demand Side Management (DSM) on revenue, utility costs, and general rates. It highlights the net rate effect, which is allocated equally to all customers, and shows the year-over-year changes in general rates with and without DSM, along with the average change in general bills compared to a no-DSM scenario.
2031 2032 41 No-DSM year-over-year rate impact DSM year-over-year rate impact 42 Non-Participants Total Customers Participants 43 This graph shows the annual percentage change in rates over the previous year, for both the DSM and no-DSM sc...
AI summary The text presents two graphs illustrating the annual percentage change in rates and monthly bill impacts for DSM and no-DSM scenarios, comparing participants and non-participants.
articipant Average (2019-2032) Non-Participant Average (2019-2032) Total Customers Average (2019-2032) 23 24 This graph shows estimated rate impacts of DSM, relative to the no-DSM scenario. Blue bars show the impact of program cost recover...
AI summary This text discusses the estimated rate and bill impacts of Demand Side Management (DSM) programs, comparing participant, non-participant, and total customers averages from 2019 to 2032. It highlights the impact of program cost recovery, lost revenues, and avoided utility costs.
2031 2032 41 No-DSM year-over-year rate impact DSM year-over-year rate impact 42 Non-Participants Total Customers Participants
AI summary The text presents a comparison of rate impacts between No-DSM and DSM years, with categories for Non-Participants, Total Customers, and Participants. It provides a visual representation of year-over-year rate changes in the context of demand-side management programs.
1.0% Monthly Bill Impacts (%) 15 0.2 Change in Rates (¢/kWh)
AI summary The text presents a visual representation of monthly bill impacts, showing a 1.0% change in rates and a 0.2% impact on monthly bills, likely related to rate adjustments or policy changes.
Lost Revenue Program Costs Avoided Costs Net Rate Impact Average Net Rate Impact (2019-2032) 24
AI summary The text presents a table with columns including Lost Revenue, Program Costs, Avoided Costs, Net Rate Impact, and Average Net Rate Impact from 2019 to 2032, indicating a financial analysis related to a program's impact on revenue and costs.
25 This graph shows estimated bill impacts of DSM as percentage differences relative to the no-DSM scenario. 'Participants' represents a customer with average energy use and This graph shows estimated rate impacts of DSM, relative to the n...
AI summary The text discusses the estimated bill and rate 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 on customer bills and rates, with visual representations of these impacts.
2032 41 No-DSM year-over-year rate impact DSM year-over-year rate impact 42 Non-Participants Total Customers Participants 43 This graph shows the annual percentage change in rates over the previous year, for both the DSM and no-DSM scenari...
AI summary This text presents two graphs: one showing annual percentage changes in rates for DSM and no-DSM scenarios, and another showing monthly bill impacts relative to the no-DSM scenario for different customer groups.
Energy Savings Customers receiving the Home Energy Report were modeled as new participants in 2013. The same cross-participation Actions (Home Energy rates used for Residential Instant Savings are used for the Home Energy Report, based on...
AI summary The document discusses energy savings actions related to the Home Energy Report program, including participation rates and its discontinuation. It also outlines energy and demand rates, sales forecasts, and avoided costs based on NS Power's 2014 IRP assumptions.
e Antigonish Electric Utility has three accounts. ENS does not track which Antigonish account is being served through particular programs or participants, so the rate and bill impacts include the number of customers rather than the number...
AI summary The document discusses the calculation of rates for the DSM scenario, including program cost recovery, lost revenue recovery, and avoided costs. It explains how these components are determined and allocated across rate classes, with special consideration for rate classes with and without demand charges.
cts. DATE FILED: April 6, 2018 Page 6 of 6 Appendix C - Attachment 3 2019 Plan Rate and Bill Impact Analysis Equations This page is intentionally left blank EFFICIENCYONE 2019 DSM PLAN FILING Appendix C - Attachment 3: Equations 1 2019 DSM...
AI summary The text provides equations used in the 2019 DSM Plan Rate and Bill Impact Analysis to calculate lost revenues and avoided costs, and their allocation to rate classes. The equations model the relationship between energy savings, demand savings, and cost avoidance across different rate classes.
ar 𝑗 20 𝑐𝑗 Avoided transmission capacity cost rate in year 𝑗 21 𝑑𝑗 Avoided distribution capacity cost rate in year 𝑗 22 23 𝐿𝑅𝑖𝑗 = 𝐿𝑅𝑗 𝛼𝑖 24 𝐿𝑅𝑖𝑗 Lost Revenues for class 𝑖 in year 𝑗 25 𝛼𝑖 Attribution factor for class 𝑖 26 27 𝐴𝐶𝑖𝑗 = 𝐴𝐶𝑗 𝛼𝑖 2...
AI summary This document provides equations and indices related to avoided transmission and distribution capacity costs, lost revenues, and avoided costs by rate class and year, with attribution factors based on 2013 GRA SR-01 data.
E-9E1 (SBA) RIRs to IR-1 to IR-21
9 passages
EfficiencyOne – 2019 Demand Side Management (DSM) Resource Plan M08604 (E-ENS-R-18) E1 Responses to Small Business Advocate NON-CONFIDENTIAL 1 Request IR-01: 2 3 Please explain the method used by EfficiencyOne and NSPI in setting the inves...
AI summary EfficiencyOne and NSPI explain that the $34.05M 2019 DSM investment level was set via the continuation approach under the Electricity Plan Implementation (2015) Act, extending the 2016-2018 DSM Plan and capping funding at the annual average of prior approvals. Targets followed similar continuation logic.
o Business development; and 26 o Incentive setting (in accordance with ENS’s Incentive Setting 27 Implementation Plan). 5 This is as a result of consistent participant survey results in previous years due to a stable market and the maturit...
AI summary The document discusses Efficiency Nova Scotia's 2017 DSM annual progress report, including program evaluations, rate-class expenditures, and the rationale for reduced impact evaluations in certain program components such as Appliance Retirement and Instant Savings.
istribution in the 2017 mid-course adjustments resulting in a higher 9 demand-to-energy ratio overall, as compared to the UARB-approved plan. 10 11 1.3.1 Efficient Product Rebates 12 13 Efficient Product Rebates, marketed as Business Energ...
AI summary The 2017 mid-course adjustments led to a higher demand-to-energy ratio compared to the UARB-approved plan. Efficient Product Rebates (BER) achieved higher energy and peak demand savings than planned, with results broken down by rate class in Table 7.
• quantification of non-energy benefits for cost-effectiveness testing purposes; 3 and 4 • addressing evaluation and verification recommendations. 5 6 In the first quarter of 2018, ENS consulted with DSM Advisory Group stakeholders to 7 de...
AI summary The document discusses Efficiency Nova Scotia's (ENS) work on the 2019 DSM Plan, in line with the Electricity Efficiency and Conservation Restructuring (2014) Act. It also mentions planned and actual DSM expenditures for 2015-2017 and highlights ENS's collaboration with the DSM Advisory Group and Evaluation and Verification Consultants.
tion 79J(3) of the Public Utilities Act for Approval of the 2016-2018 Supply Agreement for Electricity Efficiency and Conservation Activities [2017 Locational DSM Report], [14 Aug 2017] at p. 37. DATE FILED: March 29, 2018 Page 63 of 68 Da...
AI summary The document discusses Efficiency Nova Scotia's (ENS) collaboration with NS Power on locational DSM efforts and updates on the Rate and Bill Impact Analysis (RBIA) as part of the Consensus Agreement. ENS is committed to refining the methodology and assumptions used in the RBIA with stakeholder input.
NON-CONFIDENTIAL 1 b) As EfficiencyOne did not have the requested information, it contacted NS Power, 2 which provided the following response: 3 4 Peak demand reduction was addressed in the following items: 5 • Power Shift Atlantic – pilot...
AI summary EfficiencyOne requested information on peak demand reduction initiatives, and NS Power provided details on various programs such as Power Shift Atlantic, Smart Grid/Battery storage, and Critical Peak Pricing. NS Power also mentioned future rate structures and demand response strategies.
NON-CONFIDENTIAL 1 Peak Pricing or Peak Time Rebates aim to reduce system-coincident peak demand at 2 critical periods throughout the year, while general time-of-use rates aim to shift 3 customer energy consumption to different times of th...
AI summary The text discusses rate-based solutions like Peak Pricing and Peak Time Rebates, which aim to reduce peak demand, and contrasts them with EfficiencyOne’s demand reduction pilot options that use technology. It also highlights the role of Home Area Networks (HANs) in facilitating demand response and enabling demand reduction measures.
NON-CONFIDENTIAL 1 Request IR-21: 2 3 Regarding the Rate and Bill Impact Analysis (RBIA) analysis included in Appendix C of 4 EfficiencyOne 2019 DSM Plan Filing: 5 a) What is the present value of the benefits to the participants of the DSM...
AI summary The response to Request IR-21 outlines the present value of benefits from the 2019 DSM Plan, the impact of the plan on avoided costs and lost revenues, and how changes in DSM measures affect the RBIA analysis. Key figures include $197 million in benefits and the explanation that non-participants do not influence avoided costs.
28 at the rate class level, as opposed to the program, project, or measure level. Changes 29 in rate class total expenditures, savings, or participation rates would potentially have 30 an impact on the average rate and bill impacts. For ex...
AI summary EfficiencyOne discusses how changes in rate class expenditures, savings, and participation rates can impact average rates and bill impacts. It notes that scaling programs proportionally has minimal effect on these impacts, and that historical RBIA reports are based on actual measure delivery mixes.