E-1-1Application
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23 Table 12: Alternate Scenario performance metrics Year Investment ($ million) Lifetime Benefits ($ million) a First-Year Energy Savings (GWh) Lifetime Energy Savings (GWh) Weighted-Average Measure Life (years) Peak Demand Savings (MW) To...
AI summary Table 12 presents performance metrics for alternate scenarios, showing investment, energy savings, and cost tests from 2020 to 2022. It highlights increasing investments and benefits over time, with consistent energy savings and improvements in cost tests.
Table 18: Efficient Product Rebates (BNI) 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) Tota...
AI summary Table 18 compares the performance indicators of the Efficient Product Rebates (BNI) program under preferred and alternate plans from 2020 to 2022. It includes metrics such as investment, energy savings, peak demand savings, and cost indicators. The data shows the preferred plan outperforms the alternate plan in several areas, including energy savings and participation.
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.
E-3E1 (NSPI) RIRs to IR-1 to IR-69
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5.4 Total 102.1 535.6 354.9 5192.4 103.0 2.1 5.2 Incremental Incremental Lifetime Energy Annual Net Program Investment Lifetime Benefits Annual Net Total Resource 2020 Savings at Demand Savings Administrator ($ million) ($ million)a Energy...
AI summary The text presents financial and energy data, including total investment, lifetime benefits, energy savings, and cost tests related to a program. The data includes figures for 2020 and other years, with metrics such as investment in millions, energy savings in GWh, and cost tests.
A N/A Total 34.2 179.7 118.9 1745.9 34.6 2.1 5.3 Incremental Incremental Lifetime Energy Annual Net Program Investment Lifetime Benefits Annual Net Total Resource 2022 a Savings at Demand Savings b Administrator ($ million) ($ million) Ene...
AI summary The text presents a table with financial and energy-related metrics, including investment, benefits, energy savings, and cost tests. It includes columns such as 'Investment ($ million)', 'Lifetime Benefits ($ million)', 'Annual Net Energy Savings at Generator (GWh)', and 'Total Resource Cost Test (TRC)' and 'Program Administrator Cost Test (PAC)' metrics.
ure? 2. What is the market penetration? The incentive thresholds discussed in Figure 9 can be used to provide three points of reference for the incentive setting process. Figure 9: Incentive Thresholds used in Financial Impact Analysis 43...
AI summary The text refers to incentive thresholds used in financial impact analysis, specifically Figure 9, which provides reference points for the incentive setting process. The figure is part of a larger document discussing energy efficiency and financial considerations.
potential implementation, with the program accordingly. It is understood that some programs may only be able to track data administration costs included. Ex-post cost monthly. Understand Financial effectiveness is not conducted. Impacts Ef...
AI summary The text discusses EfficiencyOne's approach to tracking program financial impacts and implementing a new data management system for measure implementations. It mentions that financial effectiveness is not currently evaluated ex-post and that changes in incentives are forecasted to assess impacts on program budgets and unit costs.
incentive oversight process. Recommendation 2-2: For the Consolidated Calculator, further clarify instructions about where to find the required inputs. Recommendation 2-3: For future financial simulations, consider the lessons learned in t...
AI summary The text discusses recommendations for improving the Consolidated Calculator and the Incentive Setting Workbook, including clarifying instructions and considering improvements to future financial simulations.
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 $4.1M, and from 22 to 33 job-years of net employment....
AI summary The text discusses the economic benefits of DSM programs, noting that they generate GDP and employment. It also addresses the use of discount rates in TRC calculations, questioning whether utility WACC is appropriate or if a societal discount rate should be used instead, as seen in regions like New York and New England.
78612Compliance Filing
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Table 5: 2022 Preferred DSM Resource Plan Investment and Savings 2022 Investment ($ 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 5 outlines the 2022 Preferred DSM Resource Plan Investment and Savings, detailing investments, benefits, and savings across residential, business, and enabling strategies programs. The table highlights energy savings, peak demand reductions, and cost tests such as TRC and PAC.
Table 18: Efficient Product Rebates (BNI) 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) Tota...
AI summary Table 18 compares the performance indicators of the Efficient Product Rebates (BNI) program under preferred and alternate plans from 2020 to 2022. It provides data on investment, energy savings, peak demand savings, and cost metrics, highlighting differences between the two scenarios.