E-1Application
17 passages
Annual avoided costs of energy and capacity and annual avoided $CO_2e$ emissions were provided by NS Power, from the 2020 IRP using the Base level of DSM for Scenario 2.0C. Avoided costs of transmission and distribution were provided by NS...
AI summary The Settlement Plan, based on the 2020 IRP and updated with 2021 data, outlines energy and capacity savings, CO2e reductions, and cost-effectiveness ratios. It includes details on avoided costs, lifetime benefits, and a 10-year program life for Demand Response (DR) and Energy Efficiency (EE) initiatives.
DSM ENERGY SAVINGS - NS Power modelled various reference scenarios in the development of the IRP and selected Reference - Plan 2.0C as the scenario which will deliver the lowest net revenue requirements to the NS Power - electricity system...
AI summary The document discusses the development of the Integrated Resource Plan (IRP) and its impact on energy savings targets and avoided costs. E1 argues that the Settlement Plan better reflects recent climate initiatives and legislation, providing a more accurate assessment of avoided costs and energy savings compared to the IRP Reference Plan 2.0C.
Table 6: Federal Carbon Pollution Pricing Benchmark Values Used for This Analysis Year Federal Carbon Pollution Pricing Benchmark ($/tonne) 2020 $30 2021 $40 2022 $50 2023 $65 2024 $80 2025 $95 2026 $110 2027 $125 2028 $140 2029 $155 2030...
AI summary Table 6 outlines federal carbon pollution pricing benchmark values from 2020 to 2030 and beyond, used to calculate avoided costs of carbon from Demand Side Management (DSM). The DICE methodology compares carbon emissions between scenarios with and without DSM to determine savings intensity and avoided costs per MWh saved.
7 Table 4: Key Global Assumptions in the 2023-2025 Settlement Plan Development Key Global Assumptions Model ITEM DESCRIPTION OF MODEL INPUTS & ASSUMPTIONS EE DR • Avoided costs of both energy and capacity were based on NS Power's 2020 IRP...
AI summary The document outlines key global assumptions used in the 2023-2025 Settlement Plan Development, including avoided costs based on NS Power's 2020 IRP Scenario 2.0C and the Federal Policy Position on carbon pricing. Transmission and distribution costs are adjusted for inflation, and carbon avoided costs are calculated using a federal backstop trajectory of $170 per tonne by 2030.
8 distribution infrastructure. [Figure 11,](#page-135-1) below, provides highlights of the Settlement Plan. Carbon Emissions Avoided First-Year CO2e Savings (kt) 326 Lifetime CO2e Savings (kt) 1,742 Portfolio Summary (2023-2025) First-Year...
AI summary The Settlement Plan outlines carbon emissions avoided and energy savings from a portfolio of initiatives between 2023-2025. It includes details on energy and demand savings, investment allocations, and cost-effectiveness metrics, with a focus on low-income participation and the split of energy efficiency and demand response investments between residential and business sectors.
Annual avoided costs of energy and capacity and annual avoided CO₂e emissions were provided by NS Power, from the 2020 IRP using the Base level of DSM for Scenario 2.0C. Avoided costs of transmission and distribution were provided by NS Po...
AI summary The document discusses annual avoided costs and CO₂e emissions from energy and capacity, as well as the cost-effectiveness ratios of demand response (DR) and energy efficiency (EE) programs. It highlights the investment required for DR and the calculation of benefit/cost ratios using net present values and utility WACC.
Annual avoided costs of energy and capacity and annual avoided CO 2 e emissions were provided by NS Power, from the 2020 IRP using the Base level of DSM for Scenario 2.0C. Avoided costs of transmission and distribution were provided by NS...
AI summary The document provides data on annual avoided costs and CO2e emissions from NS Power's 2020 IRP using the Base level of DSM for Scenario 2.0C. It outlines cost-effectiveness ratios and discusses the investment required for demand response (DR) and energy efficiency (EE) programs, including collaboration between NS Power and E1.
A. Energy Efficiency PROCess Model Throughout the past year, stakeholders have discussed a variety of methods for estimating the Avoided Cost of carbon. The primary objective of these discussions was to satisfy the UARB's directives to imp...
AI summary The document discusses the Avoided Cost of Carbon calculation method, which involves DSM energy savings, carbon intensity, and carbon credit price. The Federal trajectory of carbon pricing is used, with a 2% annual increase beyond 2030 to account for inflation. This aims to improve the calculation of avoided emissions for the 2023-2025 DSM Plan and historical carbon reductions.
of generation via the construction of the with- and without-DSM 2020 Integrated Resource Plan (IRP) scenarios (i.e. 2.0C and 2.0C-No DSM), but only roughly estimates the hourly-timing of DSM savings. E1's initial proposed method of using h...
AI summary The document discusses methods for calculating GHG emissions reductions from demand-side management (DSM) savings, including the use of historical hourly marginal generation and DSM savings profiles. Concerns are raised about applying emissions intensity and carbon price to all DSM savings for cost-effectiveness testing, with suggestions to maintain a simpler approach for calculating carbon reductions.
e and may always be parties that want to know the amount of carbon reductions due to DSM calculated in a way that values all DSM savings with respect to the actual generation November 15, 2021 Page 8 _______________________________________...
AI summary E1 proposes a method to estimate future avoided carbon emissions from DSM savings, considering the mix of the electricity system, rather than a counterfactual IRP scenario. The key challenge is determining the incremental portion of emissions related to the no-DSM scenario for cost-effectiveness testing.
The Difference in Carbon Emissions (DICE) method is similar to the treatment of avoided costs of energy. The amount of carbon reduction due to DSM is calculated by comparing the IRP carbon emissions between scenarios with and without DSM t...
AI summary The text discusses the DICE method for calculating carbon emissions reductions from demand-side management (DSM) by comparing scenarios with and without DSM. It suggests refining the load shape modeling in future integrated resource plans (IRPs) and incorporating revenue from carbon credits to better reflect avoided costs. Figure 1 illustrates the method using emissions data from IRP scenarios.
Table 7 Year Carbon Savings Intensity (t/MWh) 2021 0.693 2022 0.930 2023 0.861 2024 0.898 2025 0.632 2026 0.448 2027 0.355 2028 0.431 2029 0.393 2030 0.086 2031 0.159 2032 0.320 2033 0.360 2034 0.369 2035 0.269 2036 0.355 2037 0.288 2038 0...
AI summary Table 7 presents carbon savings intensity (t/MWh) from 2021 to 2041, showing a fluctuating trend with significant reductions in carbon emissions over time, peaking in 2022 and reaching a low in 2030 before gradually increasing again.
DATE FILED: 11 March 2022 ______________________________________________________________________________ Page 12 of 13 Year Carbon Savings Intensity (t/MWh) 2042 0.175 2043 0.182 2044 0.166 2045 0.179 2046-2063 0.179 B. Demand Response DRS...
AI summary The document presents a table showing carbon savings intensity from 2042 to 2063 and references a Demand Response DRSim Model. It highlights carbon savings metrics and mentions a model used for demand response planning.
Benchmark[4](#page-154-1) as provided in [Table 4,](#page-155-0) below. [https://www.canada.ca/en/environment-climate-change/services/climate-change/pricing-pollution-how-it-will-work/carbon](https://www.canada.ca/en/environment-climate-ch...
AI summary The document outlines the use of the federal carbon pollution pricing benchmark values to calculate the avoided costs of carbon emissions from demand-side management (DSM). The DICE methodology is used to compare carbon emissions between scenarios with and without DSM, leading to the calculation of avoided costs per MWh saved, as shown in Table 5.
4 Table 6: Full Range of Avoided Cost Values Used for This Analysis Category Years Details Capacity ($/kW-year) 2023-2040 • Fitted series PRM adjusted stream (AVC 2.0C NPV 2023) of avoided costs of capacity, as calculated by NS Power for t...
AI summary Table 6 presents avoided cost values for capacity, transmission, distribution, energy, and carbon from 2023 to 2040. These values are derived from NS Power's calculations for the IRP Reference Plan and include inflation adjustments and carbon pricing trajectories.
DATE FILED: 11 March 2022 Page 1 of 8 1 Figure 1: 2023-2025 Alternate Scenario – Portfolio-level Insights Carbon Emissions Avoided First-Year CO2e Savings (kt) 299 Lifetime CO2e Savings (kt) 1,658 Portfolio Summary (2023-2025) First-Year E...
AI summary The document presents a 2023-2025 alternate scenario with insights on energy and demand savings, carbon emissions avoided, and investment breakdowns. It highlights the distribution of energy efficiency and demand response investments between residential and business sectors, along with cost and benefit analyses.
9 Q. IS THE VIEW INCLUDING THE COST OF CARBON ("WITH 10 CARBON") THE MOST APPROPRIATE? 11 A. EfficiencyOne calculated the TRC test using avoided costs with and 12 without the avoided environmental compliance cost of carbon. In Matter M0860...
AI summary The response discusses the inclusion of carbon costs in the TRC test, referencing the 2019 DSM Resource Plan and the 2017 Environment Act amendments that established Nova Scotia Power's participation in a Cap-and-Trade Program with a carbon price floor of $22.92 in 2022.
E-22021 DSM Evaluation Reports
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8 At the time of writing, 2021 data were not yet available. The Nova Scotia-specific factor was obtained from Nova Scotia Power's 2020 total system emissions data (6,283,894 CO 2 eq tonnes) and total electricity generation (10,759 GWh) was...
AI summary The text discusses the calculation of a Nova Scotia-specific factor using emissions data and electricity generation figures from Nova Scotia Power and Emera Inc. Data sources include a 2020 emissions report and a 2020 Q4 Management's Discussion & Analysis document.
2 CUSTOM EVALUATION APPROACH The 2021 Custom evaluation comprises a comprehensive impact evaluation for Retrofit, Building Optimization, and New Construction and a process evaluation for New Construction. The main objectives of the 2021 Cu...
AI summary The 2021 Custom evaluation focuses on assessing the impact and process of Retrofit, Building Optimization, and New Construction programs. Key objectives include gathering participant perspectives, understanding decision-making processes, collecting free-ridership data, and calculating energy savings and GHG emissions.
Table 33: Evaluated 2021 Building Optimization GHG Emission Reductions Total Net Energy Savings – at the Generator (GWh) 0.444 Nova Scotia-specific GHG Emissions Factor for Electricity Production (kg of CO2 eq/kWh) 0.5841 Gross Annual GHG...
AI summary Table 33 presents evaluated 2021 Building Optimization GHG emission reductions, showing net energy savings of 0.444 GWh and gross annual GHG emission reductions of 259 tonnes of CO2 eq. Section 11.4 discusses realization rate, which is likely related to the implementation and effectiveness of these emission reduction measures.
Table 45: Evaluated 2021 SEM GHG Emission Reductions Total Net Energy Savings – at the Generator (GWh) 1.845 Nova Scotia-specific GHG Emissions Factor for Electricity Production (kg of CO2 eq/kWh) 0.5841 Gross Annual GHG Emission Reduction...
AI summary Table 45 presents evaluated 2021 SEM GHG emission reductions, showing net energy savings, the Nova Scotia-specific GHG emissions factor, and gross annual GHG emission reductions. Section 20.4 discusses the realization rate, which is a key metric for assessing the effectiveness of energy management initiatives.
E-12-(i)NSUARB IR-17 Attachment 2_ACEEE’s Entire State Database - Excel
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ystem peak in 2006. The Commission ruled in Proceeding No. 17A-0462EG that PSCo's goal for annual energy savings for 2019-2023 be 500 GWh, an increase from the goal of 400 GWh that had been in effect. HB 21-1238, signed in 2021, strengthen...
AI summary The document outlines energy efficiency and GHG reduction targets set by regulatory proceedings, including a 500 GWh annual energy savings goal for PSCo and incremental load reduction targets for Tri-State Generation and Transmission Association. It also references legislative actions such as HB 21-1238 and SB 21-264, which aim to strengthen natural gas efficiency and clean heat initiatives.
esearch is also conducted at each of the member institutions, giving CAES scientists and engineers, industry partners, and others access to a wide range of equipment, capabilities, and infrastructure. The Idaho National Laboratory also con...
AI summary The Idaho National Laboratory (INL) conducts research on energy efficiency, renewable energy systems, and advanced manufacturing. It focuses on energy storage, electric vehicles, biomass-based fuels, and integrated energy systems. INL also works on net-zero waste manufacturing and carbon conversion technologies.
t energy systems. The state's CHP incentive program provides additional bonus incentives to CHP systems with blackstart capabilities at critical infrastrucutre, and supports renewable-fueled systems. New Jersey has also streamlined its air...
AI summary New Jersey has implemented an Energy Efficiency Resource Standard (EERS) requiring utilities to achieve specific energy savings targets through efficiency and peak demand reduction programs. Additionally, the state has streamlined air permitting for Combined Heat and Power (CHP) systems by offering general permits for internal combustion engines and turbines.
alue to the enhanced resiliency provided by CHP. One significant change to NYSERDA’s CHP program, however, is a reduction in eligible system size to 3MW and a future scaling down of incentive levels. In February 2019, NYSERDA announced tha...
AI summary NYSERDA has made several changes to its CHP program, including reducing the eligible system size to 3MW, scaling down incentive levels, and requiring solar or storage systems for future funding. The Clean Energy Fund Investment Plan allocates $48 million over three years for CHP installations, aiming to acquire 220,000 MWh and reduce carbon emissions by 1.71 million metric tons.
er. Local governments may take advantage of the technical and data management support available for implementing municipal or mandatory benchmarking and disclosure policies for the general population. Washington State Executive Order 18-01...
AI summary Washington State has implemented several initiatives to reduce carbon emissions and promote energy efficiency. These include Executive Order 18-01, which mandates emissions reductions and the establishment of the SEEP Office, and House Bill 1257, which sets energy performance standards for large buildings. Additionally, the Electric Fleet Initiative aims to increase the adoption of electric vehicles in state fleets.
E-30E1 Compliance Filing 2023-2025 with Appendix A-D FINAL
7 passages
7 Table 4: Key Global Assumptions in the 2023-2025 Settlement Plan Development Key Global Assumptions Model ITEM DESCRIPTION OF MODEL INPUTS & ASSUMPTIONS EE DR • Avoided costs of both energy and capacity were based on NS Power's 2020 IRP...
AI summary The document outlines key global assumptions used in the 2023-2025 Settlement Plan Development. It details the methodology for calculating avoided costs of energy and capacity, based on NS Power's 2020 IRP Scenario 2.0C and the Federal Policy Position on carbon pricing, which assumes a constant price of $170 per tonne of CO2 by 2030.
10 Annual avoided costs of energy and capacity and annual avoided CO2e emissions were provided by NS Power, from the 2020 IRP 11 using the Base level of DSM. Avoided costs of transmission and distribution were provided by NS Power in 2021....
AI summary The text discusses avoided costs and emissions from energy efficiency and demand response programs, referencing data from NS Power's 2020 IRP and 2021 transmission and distribution costs. It also mentions cost-effectiveness ratios and the need for collaboration between NS Power and DR programs for benefits realization.
of generation via the construction of the with- and without-DSM 2020 Integrated Resource Plan (IRP) scenarios (i.e. 2.0C and 2.0C-No DSM), but only roughly estimates the hourly-timing of DSM savings. E1's initial proposed method of using h...
AI summary The text discusses methods for calculating greenhouse gas (GHG) emissions reductions from demand-side management (DSM) programs, highlighting E1's proposed approach using historical data and concerns raised by NS Power, Synapse, and Resource Insight regarding the application of emissions intensity and carbon pricing to DSM savings for cost-effectiveness testing.
e and may always be parties that want to know the amount of carbon reductions due to DSM calculated in a way that values all DSM savings with respect to the actual generation November 15, 2021 Page 8 DATE FILED: 4 October 2022 Page 8 of 13...
AI summary E1 argues that its proposed method for calculating carbon reductions from DSM savings should consider the actual generation mix of the electricity system, rather than focusing on a counterfactual IRP scenario. E1 believes this approach could reasonably estimate future avoided carbon emissions, but stakeholders have raised concerns about estimating the incremental portion of those emissions relative to a no-DSM scenario.
The Difference in Carbon Emissions (DICE) method is similar to the treatment of avoided costs of energy. The amount of carbon reduction due to DSM is calculated by comparing the IRP carbon emissions between scenarios with and without DSM t...
AI summary The DICE method calculates carbon emissions reductions from DSM by comparing IRP scenarios with and without DSM. The method uses a load shape that mimics total system load, but could be refined with more detailed modeling. Including revenue from carbon credits in the IRP could improve the accuracy of avoided costs of energy and capacity.
Table 7 Year Carbon Savings Intensity (t/MWh) 2021 0.693 2022 0.930 2023 0.861 2024 0.898 2025 0.632 2026 0.448 2027 0.355 2028 0.431 2029 0.393 2030 0.086 2031 0.159 2032 0.320 2033 0.360 2034 0.369 2035 0.269 2036 0.355 2037 0.288 2038 0...
AI summary Table 7 presents carbon savings intensity values (t/MWh) from 2021 to 2063, showing a fluctuating trend with a significant decrease by 2030. The section 'B. Demand Response DRSim Model' introduces a model related to demand response simulations, likely used for analyzing energy efficiency and demand-side management strategies.
Annual avoided costs of energy and capacity and annual avoided $CO_2e$ emissions were provided by NS Power, from the 2020 IRP using the Base level of DSM. Avoided costs of transmission and distribution were provided by NS Power in 2021. Co...
AI summary The text discusses avoided costs and emissions from energy efficiency (EE) and demand response (DR) programs, using data from NS Power's 2020 Integrated Resource Plan (IRP). It outlines cost-effectiveness ratios, including the Total Resource Cost Test (TRC) and Program Administrator Cost Test (PAC), and highlights the need for collaboration between NS Power and E1 for DR benefits. Emissions estimates are based on Nova Scotia Greenhouse Gas Emissions Regulations.