E-32025 DSM Evaluation Reports
278 passages
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. EnerGuide rating An EnerGuide (official brand of Natural Resources Canada) rating is a standard measure of home energy performance. It is a measure of the effic...
AI summary The document defines key terms related to energy performance and measurement, including EnerGuide ratings, effective useful life, equipment life, and equivalent CO2. These terms are used to evaluate home energy efficiency and the environmental impact of greenhouse gas emissions.
Energy Model Reviews The Evaluator performed energy model reviews of the 12 Custom New Construction projects to verify the accuracy of energy models. After the initial file reviews, the Evaluator concluded that the available documentation...
AI summary The Evaluator conducted energy model reviews for 12 Custom New Construction projects, confirming sufficient documentation without requiring site visits. Models were compared to as-built drawings and baseline definitions to establish evaluated savings. Free-ridership interviews were conducted separately and not part of the project reviews.
4.1 Individual Impact Evaluation Results [Table](#page-24-0) 5 and [Table](#page-25-0) 6 below respectively list the evaluated electrical energy and peak demand savings as well as the corresponding savings tracked by E1 for each program co...
AI summary Table 5 and Table 6 present evaluated electrical energy and peak demand savings, along with tracked savings by E1 for each program component in 2025. Net savings are calculated using the net-to-gross ratio (NTGR), and lifetime savings are based on energy efficiency measures over their effective useful life (EUL). Line loss factors were submitted to the Nova Scotia Utility and Review Board (NSUARB) as part of the 2014 Cost of Service Study Progress Update.
Table 5: Comparison of 2025 Evaluated and Tracked Electrical Energy Savings at the Generator a Program Component Tracked Results Evaluated Results DSM Program Annual Gross Savings (GWh) Annual Net Savings (GWh) Annual Gross Savings (GWh) N...
AI summary Table 5 compares the evaluated and tracked electrical energy savings from various programs in 2025. It includes data on residential and BNI programs, showing gross and net savings, net-to-gross ratios, lifetime savings, and net realization rates for each component.
The Evaluator reviewed the EUL values of all measures offered by E1 and their associated lifetime electrical energy savings. The Evaluator found that the DSM portfolio generated 1,476.864 GWh in lifetime net electrical energy savings. [17]...
AI summary The Evaluator analyzed the EUL values of measures in the E1 DSM portfolio, finding that the portfolio generated 1,476.864 GWh in lifetime net electrical energy savings. The weighted average EUL of the measures is 11.4 years, with building envelope measures like insulation contributing significantly to lifetime savings.
Table 8: 2025 Evaluated Net Lifetime Electrical Energy Savings at the Generator DSM Program Program Component Annual Net Electrical Energy Savings (GWh) Lifetime Net Electrical En ergy Savings (GWh) Weighted Average EUL (years) Share of An...
AI summary Table 8 presents the 2025 evaluated net lifetime electrical energy savings at the generator for various DSM programs, including appliance retirement, efficient product rebates, and home energy assessments. The table highlights the contribution of residential and BNI programs to annual and lifetime energy savings, with the residential subtotal contributing 36% of annual and 45% of lifetime savings, and BNI programs contributing 64% of annual and 55% of lifetime savings.
Table 14: 2025 Recommendations on Residential Program Components No. Recommendation BER – R3 Continue using DLC wattages as the efficient wattage values for multi-wattage products. Rather than tracking whether each fixture is multi-wattage...
AI summary The table outlines 2025 recommendations for residential program components, focusing on improving accuracy and transparency in rebate processes. It suggests using DLC wattages for multi-wattage products, limiting recessed fixture tracking to troffers, and applying adjustment factors separately to reduce errors.
wTable.cfm?type=SH§or=aaa&juris=ca&year=2 015&rn=36&page=1 (last accessed September 13, 2024). NRCan's Office of Energy Efficiency, EnerGuide Room Air Conditioner Directory 2012, May 2012, p. 88. Natural Resources Canada, National Ener...
AI summary The text lists references to energy efficiency data sources, including Natural Resources Canada's EnerGuide Directory and National Energy Use Database, along with technical bulletins and appliance efficiency ratings. These materials focus on residential cooling systems, air conditioners, and clothes dryers in Nova Scotia, providing historical efficiency metrics and standards.
Program Components Bibliographic References National Renewable Energy Laboratory, "Chapter 21: Estimating Net Savings – Common Practices", The Uniform Methods Project, October 2017, p. 3, available at: https://www.nrel.gov/docs/fy17osti/68...
AI summary The text provides a list of bibliographic references and exhibits related to energy efficiency programs and studies, including sources from the National Renewable Energy Laboratory, Nova Scotia Utility and Review Board, and Nova Scotia Power. These references are used in the context of a regulatory proceeding.
3.2.5 Evaluated Gross Savings The gross electrical energy and peak demand savings resulting from the retirement of appliances through ARet are listed in [Table](#page-93-0) 6 below. The line loss factors were updated in 2019 and correspond...
AI summary This section discusses the gross electrical energy and peak demand savings from appliance retirements through ARet. Line loss factors were updated in 2019 and submitted to the Nova Scotia Energy Board as part of the 2014 Cost of Service Study Progress Update. Savings are estimated using specific line loss factors for residential and commercial participants.
Table 10: Evaluated 2025 ARet Net Electrical Energy and Peak Demand Savings Appliance Retirement Measure Category Refrigerators Freezers Room Air Conditioners Small Refrigerators Small Freezers Total Electrical Energy Savings Gross Electri...
AI summary Table 10 shows the evaluated 2025 ARet Net Electrical Energy and Peak Demand Savings, indicating that ARet only achieved 9% of its electrical energy and peak demand savings targets. The table includes metrics such as gross and net energy savings, NTGR, line loss factor, and effective useful life.
3.4 Realization Rate [Table](#page-99-1) 11 below compares total ARet tracked and evaluated savings. It also includes the realization rate, representing the ratio of evaluated net savings to tracked net savings, for both electrical energy...
AI summary This section discusses the realization rate, which is the ratio of evaluated net savings to tracked net savings for both electrical energy and peak demand savings, as presented in Table 11.
5.3 Participation History In 2025, 113,696 eligible products were rebated in participating stores across Nova Scotia, a total that represents a decrease of 71% compared to 2024. As presented in [Table](#page-103-1) 13 below, sales of ENERG...
AI summary In 2025, rebate participation in Nova Scotia saw a significant decrease in sales of ENERGY STAR certified LED products, attributed to changes in the Instant Savings program following the 2024 'Lights Out' campaign. However, sales of control products, such as timers and thermostats, increased substantially, contributing the majority of energy savings.
7.2.2 Unitary Energy Savings [Table](#page-108-1) 15 below summarizes the tracked and evaluated electrical energy savings values for the product categories rebated through Instant Savings, which were revised as part of the 2025 DSM MA upda...
AI summary The document discusses revisions to unitary energy savings values for LED products, lighting controls, and smart thermostats as part of the 2025 DSM MA update. Changes are attributed to new baseline assumptions and algorithm updates. The Evaluator also reviewed Amendment 18 to Canada's Energy Efficiency Regulations and found no impact on unitary savings for rebated products.
Peak demand savings correspond to the demand savings that coincide in time with the peak demand period of the electricity system. The projected electricity peak demand period in Nova Scotia is defined as the coldest days (with an on-peak t...
AI summary The document discusses updates to unitary peak demand savings for energy efficiency measures, particularly LED products and lighting controls, as part of the 2025 DSM MA. These updates were made following discussions with the Evaluator and changes to the LED baseline assumption for residential lighting products. The table summarizes the tracked and evaluated savings for rebated products.
Table 17: 2025 Instant Savings Equivalent EUL and Gross Lifetime Unitary Savings Values Product Tracked Equivalent EUL [years] Evaluated Equivalent EUL [years] Evaluated Gross Lifetime Unitary Savings [kWh] ENERGY STAR Certified LED Fixtur...
AI summary Table 17 presents 2025 Instant Savings Equivalent EUL and Gross Lifetime Unitary Savings Values for specific energy-efficient products. The table includes ENERGY STAR Certified LED Fixtures with Motion Sensors and Solar Fixtures, showing their tracked and evaluated Equivalent Useful Life (EUL) and evaluated gross lifetime unitary savings in kWh.
Evaluated 2025 Instant Savings Gross Electrical Energy and Peak Demand Savings (Continued) Product Category Efficient Combined Washers/Dryers Room Air Purifiers Dehumidifiers Pool Pumps Heat Pump Water Heaters High-efficiency Dishwashers B...
AI summary The document evaluates the 2025 Instant Savings Gross Electrical Energy and Peak Demand Savings for various product categories. It includes data on the number of units installed, energy savings, and peak demand savings, along with adjustments for interactive effects. Smart thermostats for electric heat and dimmer switches are noted as having the most significant impact on savings revisions.
The evaluated net electrical energy savings and net peak demand savings were 28% and 35% respectively lower than the values tracked by E1 due to the inclusion of NTGR values for non-lighting measures. The evaluated gross electrical energy...
AI summary The evaluated net electrical energy savings and net peak demand savings were 28% and 35% lower than E1's tracked values due to the inclusion of NTGR values for non-lighting measures. Gross electrical energy savings were 9% lower, and peak demand savings were 8% lower due to updated unitary savings values for products like dimmer switches, following a change to a LED baseline assumption.
[Table 2](#page-135-0) presents NTGR established by measure based on this review along with reference and rationale used. It should be noted that the NTGR values for solar fixtures and heat pump water heaters were not based on the literatu...
AI summary Table 2 presents NTGR values established based on a literature review. Solar fixtures and heat pump water heaters were assigned specific NTGR values due to lack of reliable data and low market penetration in Nova Scotia. EfficiencyOne's current LED fixture NTGR was used for solar fixtures, while heat pump water heaters received a value of 1.00.
Table 3: Comparison of 2025 Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Unit Electrical Energy Savings Tracked Savings by E1 1.378 GWh 1.00 1.378 GWh 100% Evaluation Resul...
AI summary Table 3 compares tracked and evaluated savings for various energy efficiency programs in Nova Scotia in 2025, including electrical energy and peak demand savings. The table includes data for programs such as Affordable Multifamily Housing, Affordable Single-family Homes, Efficient Product Installation, Green Heat, and others, with metrics like Net-to-Gross Ratios and Realization Rates.
3.2.3 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other factors such as heating and cooling. The interactive effects of space hea...
AI summary Interactive effects in energy efficiency measures impact heating and cooling in homes. Comprehensive projects already account for these effects via engineering calculations or simulations, while the 2025 DSM MA includes them for prescriptive projects when applicable.
Table 7: 2025 AMH Equivalent EUL Values for Comprehensive Projects Measure Category Share of Savings [%] Evaluated Equivalent EUL [years] Reference Heating System 61.7% 18 GDS, 2007 – Heat Pumps Lighting 12.8% 5.7 Lifetime of 50,000 hours...
AI summary Table 7 provides the 2025 AMH equivalent EUL values for comprehensive projects, breaking down the share of savings and evaluated equivalent EUL for various measure categories such as heating systems, lighting, and building envelope. These values are based on references from various studies and assumptions about usage patterns.
Where: - › and correspond to the modelled energy consumption levels obtained in HOT2000 during the pre-retrofit (D) and post-retrofit (E) assessments respectively. Since modelled energy consumption levels were not directly available in the...
AI summary The text outlines energy savings methodology using EnerGuide ratings for pre- and post-retrofit assessments, adjustment ratios (ARs) derived from 2024 billing analyses, and calculations involving prescriptive measures under Affordable Single-family Homes (ASFH). It emphasizes modelled energy consumption and the role of Delivery Agents (DAs) in estimating space heating.
Modelled Energy Savings After the D and E assessments, EAs model the house in the HOT2000 energy simulation software to obtain the initial and final EnerGuide ratings of houses. These ratings were used to determine the electrical energy sa...
AI summary The document discusses the methodology used to model energy savings after D and E assessments, utilizing the HOT2000 energy simulation software. In 2024, the Evaluator updated the savings calculation methodology, introducing adjustment ratios (ARs) based on billing analysis to improve accuracy. These ARs are applied to modelled savings estimates, with separate calculations for three heat pump scenarios.
7.2.5 Evaluated Gross Savings The annual gross electrical energy savings at the meter of modelled and non-modelled measures are presented in [Table](#page-183-3) 14 and [Table](#page-184-0) 15 below respectively.
AI summary The section presents annual gross electrical energy savings at the meter for both modelled and non-modelled measures, as detailed in Tables 14 and 15.
Table 14: Evaluated 2025 ASFH Modelled Measure Gross Electrical Energy and Peak Demand Savings Total Electrical Energy Savings Gross Electrical Energy Savings Without Adjustment Ratio (AR) – at the Meter (GWh) 6.237 Gross Electrical Energy...
AI summary Table 14 presents the evaluated 2025 Affordable Single-family Homes (ASFH) modelled measure gross electrical energy and peak demand savings. The table includes both energy savings with and without adjustment ratios, and provides a peak demand-to-energy ratio, which differs from a previously mentioned value due to a different calculation methodology for heat pumps.
Gross electrical energy savings at the generator were estimated by using different line loss factors for each participant based on their rate code, which resulted in average factors of 1.0947 for electrical energy savings and 1.1465 for pe...
AI summary The document discusses the estimation of gross electrical energy savings using line loss factors based on rate codes, resulting in average factors of 1.0947 and 1.1465 for energy and peak demand savings. The line loss factors were updated in 2019 and submitted to the Nova Scotia Energy Board (NSEB) as part of a 2014 study. The average EUL for Affordable Single-family Homes (ASFH) was 19.3 years in 2025 with total savings of 6.135 GWh and 118.611 GWh.
Table 17: Evaluated 2025 ASFH Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 6.135 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 469.3 Gross Annual GHG Emissi...
AI summary Table 17 evaluates the 2025 gross GHG emission reductions from Affordable Single-family Homes (ASFH) programs. It shows energy savings, the Nova Scotia-specific GHG emissions factor, and the resulting annual GHG emission reductions.
10 EPI Evaluation Approach The 2025 EPI evaluation comprised a condensed impact evaluation. The main objectives of the 2025 EPI evaluation were as follows: › Calculate gross and net EPI results, namely electrical first-year and lifetime en...
AI summary The 2025 EPI evaluation focuses on calculating gross and net energy savings, peak demand savings, and avoided GHG emissions. The Evaluator identified key research questions to achieve these objectives and outlined the methods in Table 21.
Table 21: 2025 EPI Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime g...
AI summary This table outlines the evaluation approach for the 2025 Efficient Product Installation (EPI) program. It includes objectives such as calculating gross and net results, research questions related to data accuracy and energy savings, and methodologies like tracking sheet audits and the use of Net-to-Gross Ratios (NTGR) from previous surveys.
11.2.7 Evaluated Gross Savings [Table](#page-195-0) 22 and [Table](#page 1-53) 23 below present the annual gross savings results per product category and dwelling for the main EPI offerings. [Table](#page 1-54) 24 further below presents th...
AI summary The document presents annual gross savings results for EPI offerings, showing total electrical energy and peak demand savings at the generator level. Line loss factors, updated in 2019, were used in the calculations and submitted to the Nova Scotia Energy Board (NSEB) as part of the 2014 Cost of Service Study Progress Update.
Table 22: Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure - Single-family Homes LED Lamps Product Category 9 W Replacing 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units 238 244 7,833 498...
AI summary Table 22 evaluates the 2025 EPI gross electrical energy and peak demand savings per measure for single-family homes, focusing on LED lamps replacing various wattage bulbs. The table provides data on installation rates, energy savings, and adjustment ratios across different wattage categories.
LED Lamps Product Category 18 W Replacing 100 W PAR20 7 W Replacing 50 W PAR38 15 W Replacing 90 W PAR38 15 W Replacing 120 W PAR38 15 W Replacing 150 W Number of Units Number of Units 188 1,710 113 27 382 Installation Rate (%) 94% 94% 94%...
AI summary The document presents a detailed table of energy savings from LED lamp installations, including metrics such as number of units, installation rates, energy savings, and adjustment ratios. The data is categorized by different types of LED lamps and includes interactive effects and line loss factors for each category.
LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 4.5 W Replacing 40 W E12 5 W Chandeliers Replacing 40 W Number of Units Number of Units 4,371 252 1,431 1,326 4,738 Installation Rate (%) 94% 94% 94...
AI summary The table provides data on the energy savings from LED lamps across various product categories, including installation rates, unitary savings values, interactive effects factors, and gross energy savings at both the meter and generator levels. The data also includes peak demand savings and associated factors.
Product Category Faucet Aerators Thermostatic Shower Valves 2.5 gpm Pipe Insulation (per foot) Hot Water Tank Wraps Low-flow Showerheads 0.5 gpm Reduction 0.75 gpm Reduction 1.0 gpm Reduction Number of Units Number of Units 1,611 97 3,855...
AI summary The text presents a detailed table of energy savings data for various residential efficiency products, including faucets, shower valves, pipe insulation, and low-flow showerheads. It includes metrics such as installation rates, energy savings, and peak demand reductions, with adjustments for interactive effects and line losses.
Product Category Smart Thermostats for Electric Central Heat Pumps Smart Thermostats for Electric Forced Hot Air Furnaces Smart Thermostats for Electric Baseboards Smart Thermostats for Electric Radiant In-Floor Smart Thermostats for MSHPs...
AI summary The table presents data on the number of units, installation rates, energy savings, and other metrics for various smart thermostat products used in different heating systems in Nova Scotia. It includes details on electrical energy savings, gross lifetime savings, and effective useful life for each product category.
Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure - Single-family Homes (Continued) Consumer Electronics and Accessory Lighting Product Category Solar Security Fixtures Indoor Motion Sensors Outdoor Motion Sens...
AI summary The document evaluates the 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure for single-family homes, providing data on various product categories including solar security fixtures, motion sensors, and dimmer switches, with details on installation rates, energy savings, and peak demand reductions.
Table 23: Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings per Measure – Apartments LED Lamps Product Category 9 W Replacing 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units - - 455 - 1,193 - 4 - Insta...
AI summary Table 23 evaluates the 2025 EPI gross electrical energy and peak demand savings per measure in apartments, focusing on LED lamps. It provides data on unitary energy and peak demand savings, adjustment ratios, and line loss factors for various wattage replacements.
LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 4.5 W Replacing 40 W E12 5 W Chandeliers Replacing 40 W Number of Units Number of Units 282 3 50 23 79 Installation Rate (%) 94% 94% 94% 94% 94% Num...
AI summary The table presents energy savings data for various LED lamp products, including installation rates, energy savings, and interactive effects factors. The data shows minimal gross energy savings at the meter and generator levels, with some products contributing slightly more savings than others. The interactive effects and line loss factors are calculated based on weighted averages for each product category.
Thermostatic Pipe Low-flow Showerheads Product Category Faucet Aerators Shower Valves 2.5 gpm Insulation (per foot) Hot Water Tank Wraps 0.5 gpm Reduction 0.75 gpm Reduction 1.0 gpm Reduction Number of Units Number of Units 128 0 11 5 24 1...
AI summary The document provides a detailed table with energy savings data for various home efficiency products, including thermostatic faucets, shower valves, pipe insulation, and low-flow showerheads. It includes metrics such as installation rates, energy savings, and interactive effects factors, focusing on both electrical energy and peak demand savings.
Product Category Smart Thermostats for Electric Central Heat Pumps Smart Thermostats for Electric Forced Hot Air Furnaces Smart Thermostats for Electric Baseboards Smart Thermostats for Electric Radiant In-Floor Smart Thermostats for MSHPs...
AI summary The table presents data on the installation and energy savings of various smart and advanced learning thermostats across different heating systems in Nova Scotia. It includes metrics such as the number of units installed, electrical energy savings, and effective useful life. The data highlights energy savings for specific heating systems, such as electric baseboards and mini-split heat pumps.
Consumer Electronics and Accessory Lighting Product Category Solar Security Fixtures Indoor Motion Sensors Outdoor Motion Sensors Dimmer Switches Humidity Sensors Number of Units Number of Units 37 57 16 164 34 Installation Rate (%) 100% 1...
AI summary The document presents data on electrical energy and peak demand savings from various consumer electronics and lighting products, including solar security fixtures, motion sensors, dimmer switches, and humidity sensors. The data includes unitary savings values, installation rates, interactive effects factors, and lifetime energy savings.
Air Sealing Products – Electric Resistance Heating Product Category Foam Gaskets (per pack of 10) Door Sweeps Window Air Sealing (per 15 ft) Window Film Kits Door Weather Stripping (per 17 ft) Number of Units Number of Units 75 1 0 31 5 In...
AI summary The table presents data on energy savings from various air sealing and electric resistance heating products, including installation rates, energy savings, and peak demand reductions. It includes metrics such as unitary savings value, gross energy savings at the meter and generator, and effective useful life for each product category.
, Air Sealing Products – Hea t Pump Hea ting Product Category Foam Gaskets (per pack of 10) Door Sweeps Window Air Sealing (per 15 ft) Window Film Kits Door Weather Stripping (per 17 ft) Total for Apartments Number of Units Number of Units...
AI summary The table presents energy savings data for various energy efficiency products installed in apartments, including installation rates, energy savings, and peak demand savings. It includes metrics like unitary savings value, adjustment ratios, line loss factors, and effective useful life for each product category.
Table 24: Evaluated 2025 EPI Gross Electrical Energy and Peak Demand Savings Total for Single family Homes Total for Apartments Grand Total Number of Units Number of Units 87,456 3,210 90,666 Installation Rate (%) 91% 92% 91% Number of Uni...
AI summary Table 24 evaluates the 2025 EPI (Efficient Product Installation) program's gross electrical energy and peak demand savings, showing data for single-family homes and apartments. It includes metrics like installation rates, energy savings, and line loss factors, with calculations based on weighted averages for different product types and rate codes.
The detailed results per measure are presented in [Table](#page-17-0) 29 below. The net electrical energy savings resulted in 3,426 tonnes of CO2 eq in net annual GHG emission reductions. LED Lamps Product Category 9 W Replacing 25 W 29 W...
AI summary The document presents detailed results of energy savings from LED lamps, showing net annual GHG emission reductions of 3,426 tonnes of CO2 eq. The table includes gross and net electrical energy savings, net-to-gross ratios, line loss factors, and peak demand savings at both the meter and generator levels.
14 Green Heat Evaluation Approach The 2025 Green Heat evaluation included a condensed impact evaluation. Its primary objectives were to calculate gross and net results, including first-year and lifetime electrical energy savings, peak dema...
AI summary The 2025 Green Heat evaluation focused on calculating gross and net results, including energy savings and GHG emissions reduction. Key research questions were developed to address these objectives, with methods outlined in Table 33.
Evaluated 2025 Green Heat Gross Electrical Energy and Peak Demand Savings (Continued) Measure Wood Fireplace Wood Furnaces/Boilers – Inserts Electric Resistance Baseline ETS DHW Heater Timers Total Number of Units 3 1 79 29 944 Electrical...
AI summary The document presents a table evaluating the 2025 Green Heat Gross Electrical Energy and Peak Demand Savings for various measures, including Wood Fireplace Inserts, Electric Resistance Baseline, ETS, and DHW Heater Timers. It highlights energy savings at the meter and generator levels, along with peak demand savings, and notes that tracked and evaluated savings were the same for all measures in 2025.
Table 41: 2025 HEA Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime g...
AI summary This section outlines the methodology for evaluating the 2025 Home Energy Assessment (HEA) program, focusing on calculating both gross and net results, including energy savings and GHG emission reductions, using tracking sheets and evaluation data from previous years.
19.2.2 Energy Savings HEA energy savings are calculated based on HOT2000 simulation results adjusted with billing analysis results and unitary savings values for prescriptive measures, as presented in the equation below. (ℎ) = [0; (ℎ) − (ℎ...
AI summary Energy savings from Home Energy Assessments (HEA) are calculated using HOT2000 simulations adjusted by billing analysis and prescriptive measure savings values, as outlined in the provided equation. This method integrates simulation results with real-world billing data to quantify efficiency gains.
Measures Modelled in HOT2000 After the D and E home energy assessments, EAs model the given house in the HOT2000 energy simulation software to obtain the initial and final EnerGuide ratings of the house. Energy consumption levels obtained...
AI summary The HOT2000 energy simulation model is used to assess home energy efficiency measures by comparing initial and final EnerGuide ratings. Electrical energy savings are calculated and adjusted using Annual Ratios (ARs) derived from a billing analysis of 100% electrically heated homes that implemented specific measures.
19.2.6 Effective Useful Life The EUL values used in the calculation of electrical energy savings that are expected to persist over time are presented in the 2025 DSM MA. For the electrical energy savings that come from measures modelled in...
AI summary The 2025 DSM MA establishes weighted average EUL values for electrical energy savings from building envelope measures and space heating equipment under HEA. Equivalent EUL values are applied to gross and net first-year savings to calculate lifetime savings, resulting in differing weighted averages for gross and net savings.
19.2.7 Evaluated Gross Savings The annual gross savings for each category of measure installed through HEA in 2025 are listed in [Table](#page-52-0) 44 below. Gross savings at the generator were estimated by using the appropriate line loss...
AI summary The document discusses the evaluation of annual gross savings for energy efficiency measures installed through Home Energy Assessments (HEA) in 2025. Line loss factors used to estimate savings were updated in 2019 and submitted to the Nova Scotia Energy Board (NSEB) as part of a 2014 study update.
\ \ The number of participants who install measures modelled in HOT2000 and the number of prescriptive measures are not mutually exclusive. The number of participants for solar PV measures corresponds to the number of participants who gene...
AI summary The text discusses the calculation of GHG emission reductions using Nova Scotia-specific factors applied to HEA net savings, and notes that unitary savings for certain equipment vary based on type and usage. It also mentions that solar PV participants are counted based on savings generated.
Table 45: Evaluated 2025 HEA Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 14.769 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 469.3 Gross Annual GHG Emissi...
AI summary Table 45 evaluates the 2025 Home Energy Assessment (HEA) gross GHG emission reductions, showing 6,931 tonnes of CO2 eq annually from energy savings, based on a Nova Scotia-specific GHG emissions factor for electricity production.
19.3.5 Savings Deductions for Participation in Other Residential Programs Several measures are offered under both HEA and Green Heat. In addition, Efficient Product Installation (EPI) introduced air sealing measures in 2019, and Solar Home...
AI summary The text discusses savings deductions for customers participating in multiple residential energy programs, ensuring that energy savings are not double-counted. E1 is responsible for identifying overlaps and calculating deductions, particularly for HEA, Green Heat, and EPI programs, and for SolarHomes.
Table 52: Evaluated 2025 HEA Net Electrical Energy and Peak Demand Savings Energy Efficiency Measures Solar PV Measures Total Electrical Energy Savings Gross Electrical Energy Savings – at the Meter (GWh) 5.941 7.550 13.491 Unconverted D A...
AI summary Table 52 presents evaluated 2025 HEA (Home Energy Assessment) net electrical energy and peak demand savings. The data shows that HEA surpassed its electrical energy and peak demand savings targets by 61% and 6%, respectively, as outlined in Figure 23.
Table 53: Comparison of 2025 HEA Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Electrical Energy Savings Tracked Savings by E1 14.769 GWh 0.94 13.820 GWh Ev...
AI summary Table 53 compares the tracked and evaluated savings from the 2025 Home Energy Assessment (HEA) program, focusing on electrical energy and peak demand savings. The table shows 100% realization rates for both categories, with Net-to-Gross Ratios (NTGR) calculated as the ratio of net savings to gross savings, including deductions from Green Heat and EPI savings.
22 MHEEP Evaluation Approach The 2025 MHEEP evaluation comprised a condensed impact evaluation. The main objectives of the 2025 MHEEP evaluation were as follows: › Calculate MHEEP gross and net results, namely first-year and lifetime elect...
AI summary The 2025 MHEEP evaluation focused on calculating gross and net results, including first-year and lifetime electrical energy savings, peak demand savings, and avoided GHG emissions, through a condensed impact evaluation approach.
Table 54: 2025 MHEEP Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first year and lifetime...
AI summary Table 54 outlines the 2025 MHEEP Evaluation Approach, focusing on calculating gross and net results through tracking sheet audits and evaluations. It includes research questions related to data accuracy and energy savings, as well as methodologies involving NTGR and GHG emission reduction calculations.
Measures Modelled in HOT2000 After the D and E assessments, the DAs model the house in the HOT2000 energy simulation software to obtain the initial and final EnerGuide ratings of that house. Energy consumption levels obtained from HOT2000...
AI summary The document describes the use of the HOT2000 energy simulation model to assess energy consumption and savings from home efficiency measures. In 2024, the Evaluator updated the savings calculation methodology, using billing analysis to derive adjustment ratios (ARs) that are now applied to HOT2000 modelled savings estimates, improving accuracy by considering whole-home consumption.
Table 56: Evaluated 2025 MHEEP Gross Electrical Energy and Peak Demand Savings Total Number of Participants 157 Electrical Energy Savings Gross Electrical Energy Savings Without Adjustment Ratio (AR) – at the Meter (GWh) 0.545 Gross Electr...
AI summary Table 56 presents the evaluated 2025 MHEEP gross electrical energy and peak demand savings, including metrics such as energy savings with and without adjustment ratios, line loss factors, and effective useful life. The table also includes peak demand savings and a note on the change in the peak demand-to-energy ratio calculation methodology.
Gross savings at the generator were estimated by using a line loss factor of 1.0947 for electrical energy savings and 1.1466 for peak demand savings between the meter and the generator. These line loss factors were provided by NS Power and...
AI summary The document discusses the estimation of gross savings at the generator using line loss factors provided by NS Power, which were updated in 2019 and used in the 2014 Cost of Service Study Progress Update. It also mentions the average effective useful life (EUL) of the Mi'kmaw Home Energy Efficiency Project (MHEEP) and the calculation of GHG emission reductions based on Nova Scotia-specific factors.
Table 60: 2025 Residential Behaviour Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate net results › What are the evaluated first-year net electrical energy savings? › Is the participation level in other EN...
AI summary Table 60 outlines the 2025 Residential Behaviour Evaluation Approach, focusing on calculating net results through billing analysis and GHG emission reductions. The evaluation examines first-year energy savings, participation levels in ENS programs, and GHG emission reductions using AMI data from January to April 2025.
Table 61: Pre-program Average Electricity Consumption Values of Households Active in 2025 Wave Group Pre-Program Average Daily Consumption (kWh/day) Variation Between Control and Treatment Groups Control 46.2539 1 – High Users Treatment 46...
AI summary Table 61 shows pre-program average daily electricity consumption for households in 2025, with minimal differences between control and treatment groups across three waves. The analysis confirms similar consumption patterns between groups.
Table 62: Distribution of Geographical Locations of Households Active in 2025 Wave Region Control Treatment Number of Accounts43 16,204 91,877 HRM 38.83% 38.90% 1 – High Users Cape Breton 14.20% 14.23% Rest of Mainland NS 46.97% 46.87% Num...
AI summary Table 62 presents the geographical distribution of households active in 2025, categorized by wave (High, Medium, Low Users), region (HRM, Cape Breton, Rest of Mainland NS), and treatment (Control vs. Treatment). The data shows slight variations in distribution across regions and waves, with HRM consistently having the highest proportion of active households.
Table 63: 2025 Evaluated Cumulative Electrical Energy Savings Parameters and Results Cumulative Savings Wave 1 – High Users Initial Number of Active Participants - Treatment Group 91,877 Attrition Rate (%) 1.1% Total Number of Treatment Da...
AI summary Table 63 presents the 2025 evaluated cumulative electrical energy savings from three waves of a program, showing varying levels of savings across high, medium, and low users. The highest savings are observed in the high user group, with total savings of 3.716 GWh, while the low user group shows no measurable savings.
CONCLUSION [Table](#page-88-0) 69 presents the participation levels, net-to-gross ratios (NTGRs), evaluated gross and net savings at the generator, annual greenhouse gas (GHG) emission reductions, as well as effective useful life (EUL) val...
AI summary Table 69 outlines participation levels, net-to-gross ratios, evaluated savings, GHG emission reductions, and effective useful life values for each program component and the Existing Residential program as a whole.
Table 69: Overall 2025 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit AMH Electrical Energy Savings 98 Projects 1.378 GWh 1.00 1.378 GWh Li...
AI summary Table 69 outlines the participation levels and savings across various residential programs in 2025, including energy savings, GHG emission reductions, and effective useful life for each program category such as AMH, ASFH, EPI, and Green Heat. The table provides data on gross and net savings, highlighting the impact of these programs on energy efficiency and emissions reduction.
Table 1: Evaluated 2025 ASFH Allocation of EPI Gross Electrical Energy and Peak Demand Savings per Measure LED Lamps Product Category 9 W Replacing 60 W 18 W Replacing 100 W PAR20 7 W Replacing 50 W PAR38 15 W Replacing 150 W Number of Uni...
AI summary Table 1 evaluates the 2025 allocation of EPI gross electrical energy and peak demand savings per measure for Affordable Single-family Homes (ASFH). It includes data on unit numbers, installation rates, energy savings, and peak demand savings for various LED lamp replacements.
Evaluated 2025 ASFH Allocation of EPI Gross Electrical Energy and Peak Demand Savings per Measure (Continued) LED Lamps Product Category Nightlights GU10 7 W Replacing 50 W G25 4.5 W Replacing 40 W E12 5 W Chandeliers Replacing 40 W Number...
AI summary The document evaluates the 2025 allocation of EPI gross electrical energy and peak demand savings per measure for Affordable Single-family Homes (ASFH). It presents data on LED lamps, including installation rates, energy savings, and peak demand savings, along with factors such as interactive effects and line loss.
APPENDIX XI HEA Reporting Requirements HEA incentives originate from three sources of funding and are thus reported to different parties via the DSM evaluation and government-funded evaluation. The DSM evaluation is focused on reporting el...
AI summary HEA reporting requirements involve incentives funded by both DSM and government programs. The reporting methodology was updated in 2019 and 2024 to reflect changes in energy savings calculations, including the impact of fuel switching and the use of new adjustment ratios. The Canada Greener Homes Grant was incorporated in 2021 without changing the reporting structure.
Table 1: 2025 MHEEP Corrected Tracked Savings Value Tracked by E1 Corrected Tracked Value Relative Difference Program Component Results Value Unit Value Unit Value MHEEP Gross Electrical Energy Savings at the Generator 0.337 GWh 0.337 GWh...
AI summary Table 1 shows the 2025 MHEEP Corrected Tracked Savings. The tracked and corrected values for gross and net electrical energy savings are the same, but corrected peak demand savings decreased by 2.4% due to the exclusion of three non-DSM-allocated records with no corresponding energy savings.
Where: - › = A number between 1 and 12 to identify the given month - › _ℎ, = The control group average daily consumption in a given month of the post-program period - › _ℎ, = The treatment group average daily consumption in a given month o...
AI summary The text introduces variables used to calculate 2025 monthly electricity savings for high, medium, and low users, referencing a table that presents these calculations.
Evaluation Approach The 2025 evaluation was focused on calculating both gross and net results for the BER program component, including first-year and lifetime electrical energy savings, peak demand savings, and avoided greenhouse gas (GHG)...
AI summary The 2025 evaluation focused on calculating gross and net results for the BER program, including energy savings, peak demand savings, and GHG emissions avoidance, with Table 1 summarizing the evaluation types and methodologies used.
Program Measure Date an Early Replacement Baseline Calculation Approach Comes into Effect Date of LED Baseline Expected to Come into Effect for All Projects Fixtures N/A – midstream program June 30, 2026 BER-IR Lamps N/A – midstream progra...
AI summary The table outlines the dates for the implementation of baseline calculation approaches and LED baseline dates for various programs and measures, including midstream programs, Business Energy Rebates, and Small Business Energy Solutions. These dates are relevant for lighting and fixture replacements and are subject to confirmation through a 2026 market study.
Table 5: Implementation Status of Past Recommendations for BER # Recommendation Status Comments 2024-BER-R5 Plan for a shift in the product offer for LED fixtures in BER-IR to BER-AR to capture remaining retrofit opportunities once a LED b...
AI summary Table 5 outlines the implementation status of past recommendations for the Business Energy Rebates (BER) program. Two recommendations were completed, including a shift in product offers from BER-IR to BER-AR and targeting market laggards for lighting retrofits. Research and communication with partners were conducted, and results will be included in the 2025 DSM Efficient Product Rebates Evaluation Report.
Table 6: 2025 BER Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Are the gross savings calculated for a sample of...
AI summary Table 6 outlines the evaluation approach for the 2025 Business Energy Rebates (BER) program. It includes objectives such as calculating gross results and research questions related to data accuracy, savings calculations, and interactive effect factors. Methodologies include tracking sheet audits, site visits, and calculations using updated lighting interactive effects methodology.
3.2.3 Effective Useful Life In 2025, the Evaluator reviewed the EUL values used in the calculations of electrical energy savings that are expected to persist over time. For LED linear fixture, LED linear lamp, and LED outdoor fixture measu...
AI summary In 2025, the Evaluator reviewed and recalculated the Effective Useful Life (EUL) values for LED lighting measures, considering changes in the baseline over the measure's lifetime. The updated EUL values are presented in Table 8 of the 2025 DSM MA.
Table 8: 2025 BER-AR EUL Values Measure Tracked EUL Evaluated EUL LED Linear Fixtures 1 x 4 Luminaires 11.6 4.8 2 x 2 Luminaires and Retrofit Kits 11.6 4.8 2 x 4 Luminaires and Retrofit Kits 11.6 4.8 Linear Ambient and Low-bay Luminaires 1...
AI summary Table 8 presents the 2025 BER-AR EUL values for various LED lighting measures, comparing tracked and evaluated effective useful life (EUL) values. The evaluated EUL values are used to calculate gross and net lifetime electrical energy savings, with weighted average EUL values of 15.8 and 16.0 years respectively.
3.2.4 Evaluated Gross Savings The savings achieved for each Application Rebates measure category are presented in [Table](#page-163-0) 9 below. Both electrical energy and peak demand savings were revised by applying the adjustment ratios d...
AI summary The document discusses the calculation of evaluated gross savings for Application Rebates measure categories, including the use of adjustment ratios and line loss factors. It references the 2014 Cost of Service Study Progress Update and mentions the use of line loss factors provided by NS Power.
Table 23: Comparison of 2025 BER Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Value Unit Value Unit Realization Rate Electrical Energy Savings Tracked Savings by E1 44.659 GWh 0.85 38.065 GWh Evaluation Res...
AI summary Table 23 compares tracked and evaluated savings from the 2025 Building Energy Retrofit (BER) program. It shows gross and net savings for electrical energy and peak demand, along with Net-to-Gross Ratios (NTGR) and realization rates for both tracked and evaluated results.
e based on projects targeted by a given program (e.g. early replacement) and/or an agreed upon date when it is assumed that LED fixtures is the baseline for all project types (even early replacement). The Table 29 below details the baselin...
AI summary The text discusses the baseline approach and Effective Useful Life (EUL) assumptions for LED fixtures across different jurisdictions, noting that no jurisdiction uses a different baseline approach for LED fixtures based on program type.
Program Measure Date an Early Replacement Baseline Calculation Approach Comes into Effect Date of LED Baseline Expected to Come into Effect for All Projects Fixtures N/A – midstream program June 30, 2026 BER-IR Lamps N/A – midstream progra...
AI summary The table outlines the dates for the implementation of baseline calculation approaches and LED baseline dates for various programs and measures, including Fixtures, Lamps, and New Construction. These dates vary by program and are subject to confirmation through a 2026 market study.
Table 2: BER-AR Participant Survey Free-ridership Algorithm (Lighting) INTENTION D7. [ASK IF D2=1 OR D4=1, 2 OR 3] Without the Business Energy Rebates Program, what is the likelihood that you would have postponed the purchase of the energy...
AI summary This table outlines the free-ridership algorithm used in the BER-AR Participant Survey for the Lighting program, including questions about the likelihood of postponing purchases and scoring methods to assess free-ridership.
The revised savings calculations are based on four adjustments. The first adjustment revised the IE and IEpd values from 1, assuming no heating or cooling in the spaces, to 0.81 and 0.69, respectively, based on electric heating and no cool...
AI summary The text outlines four adjustments made to savings calculations for energy efficiency measures. These include revising IE and IEpd values, adjusting annual hours of use for low-occupancy areas, revising the dimming factor for garage lighting, and adjusting the coincidence factor for stairwell and low-occupancy area lights based on site observations and estimates.
Table 2: Revised Variables for Example Calculation Baseline Measure - New Construction Parameter Value – Measure 1 Value – Measure 2 Value – Measure 3 Source Existing Lamp Quantity 140 20 40 Validated on site Baseline Lamp Wattage (W) 112...
AI summary Table 2 provides a detailed comparison of energy and demand savings calculations for three different measures in a new construction baseline scenario. It includes parameters such as lamp quantities, wattages, hours of operation, and factors like dimming and coincidence. The table calculates annual energy consumption, peak demand, and revised savings for each measure.
This appendix summarizes all the recommendations made by the Evaluator as part of the 2025 BER evaluation. Section Recommendations Executive Summary Recommendation #1: Use the calculated adjustment ratios to track gross electrical energy a...
AI summary The appendix outlines two key recommendations from the 2025 BER evaluation. The first suggests using calculated adjustment ratios to track energy and peak demand savings, with exceptions and reassessments planned for specific measure categories. The second recommends using updated NTGR values to convert gross savings into net savings for reporting purposes.
DEFINITIONS Adjustment ratio The ratio of evaluated results to tracked results. This ratio expresses the adjustment made to tracked savings or other tracked values such as effective useful life values. The capacity that is available to Nov...
AI summary The text defines key terms related to demand response and energy efficiency, including adjustment ratio, available demand response capacity, baseline, bias, billing calibration, confidence interval, and demand response. These definitions support the evaluation of energy savings and performance metrics.
Table 5: Implementation Status of Past Recommendations for Custom # Recommendations Status Comments 2024-New Construction-R1 Review the peak demand savings script used for projects modelled in eQuest to ensure accurate results and favour a...
AI summary This table outlines the implementation status of two recommendations related to energy efficiency programs. The first recommendation involves reviewing and updating demand savings scripts for consistency across modeling software, currently in progress with implementation expected in 2026. The second recommendation, to amend program guidelines to require M&V for large industrial projects, has been deferred due to low frequency of such projects.
2 Custom Evaluation Approach The 2025 Custom evaluation comprised a comprehensive impact evaluation for Retrofit, P4P, and New Construction. For Building Optimization, given its smaller contribution to Custom savings, NTGR results from 202...
AI summary The 2025 Custom evaluation focuses on assessing the impact of Retrofit, Pay-for-Performance (P4P), and New Construction programs. It includes calculating energy savings, peak demand reductions, and GHG emissions. The evaluation uses NTGR results from 2021 for Building Optimization due to its smaller contribution to savings.
3 Retrofit Impact Evaluation The objectives of the 2025 Retrofit impact evaluation were to determine gross and net electrical energy savings and peak demand savings, annually avoided GHG emissions, as well as EUL values and associated life...
AI summary The 2025 Retrofit impact evaluation aims to assess electrical energy and peak demand savings, annual GHG emissions avoided, and EUL values. The evaluation considers three types of savings: partial savings from projects started before 2025, final savings from single-year projects completed in 2025, and final savings from multiyear projects completed in 2025.
Table 8: Impact Evaluation Approach per Retrofit Project Category Retrofit Project Category Number of Projects Completed in 2025 (Final Savings Claims) Gross Savings Methodology Net Savings Methodology Regular Retrofit 27 Adjustment ratio...
AI summary Table 8 outlines the impact evaluation approach for different retrofit project categories in 2025, including the number of projects completed, gross savings methodology, and net savings methodology. Each category uses different evaluation methods, such as adjustment ratios and net-to-gross ratios (NTGR), based on previous years' data.
Table 9: 2025 Retrofit Adjustment Ratios per Project Category Retrofit Project Category Adjustment Ratio on Electrical Energy Savings (Margin of Error) Adjustment Ratio on Peak Demand Savings (Margin of Error) Regular Retrofit 1.003 (±0.4%...
AI summary Table 9 presents the 2025 retrofit adjustment ratios for different project categories, including Regular Retrofit, Solar PV (using PV Watts and RETScreen), and Compressed Air Leak Audit. Adjustment ratios are provided for electrical energy savings and peak demand savings, along with margins of error. Solar PV projects use 2023 adjustment ratios due to completed savings verification.
Table 10: Example of a 2025 True-up Adjustment 2024 2025 Total Tracked Savings (kWh) 105,187 63,884 169,071 Year-specific Adjustment Ratio 1.021 1.003 Revised Savings Prior to True-up (kWh) 107,396 64,076 171,472 Total Project Revised Savi...
AI summary Table 10 shows a 2025 true-up adjustment example, illustrating tracked savings, adjustment ratios, and revised savings. Table 11 builds on this by applying adjustment ratios and true-up adjustments to Retrofit projects' energy and peak demand savings. Line loss factors from NS Power's 2014 study are used for calculations, with assumptions for municipal utilities.
Table 11: Evaluated 2025 Retrofit Gross Electrical Energy and Peak Demand Savings Partial Savings Claimed Final Savings Claimed for Single year Projects Final Savings Claimed for Multiyear Projects Total Number of Projects 9 31 6 46 Electr...
AI summary Table 11 evaluates the 2025 Retrofit Gross Electrical Energy and Peak Demand Savings, presenting data on tracked savings, adjustment ratios, and line loss factors for different project types. It includes figures for electrical energy and peak demand savings at both the meter and generator levels, along with effective useful life and lifetime savings.
Table 16: Evaluated 2025 Retrofit Net Electrical Energy and Peak Demand Savings Partial Savings Claimed Final Savings Claimed for Single year Projects Final Savings Claimed for Multiyear Projects Total Number of Projects 9 31 6 46 Electric...
AI summary Table 16 presents the evaluated 2025 retrofit net electrical energy and peak demand savings, including gross and net savings, NTGRs, line loss factors, and effective useful life for different project categories. The data reflects adjustments made to savings claims and provides insights into the efficiency of various projects.
Table 18: Evaluated 2025 P4P Gross Electrical Energy and Peak Demand Savings Partial Savings Claims Final Savings Claimed for Single year Projects Total Number of Projects 5 1 6 Electrical Energy Savings Tracked Gross Electrical Energy Sav...
AI summary Table 18 evaluates the 2025 Pay-for-Performance (P4P) gross electrical energy and peak demand savings, including tracked energy savings, adjustments, and lifetime projections. The data reflects energy savings at both the meter and generator levels, along with line loss factors and useful life estimates.
Table 26: Evaluated 2025 New Construction Net Electrical Energy and Peak Demand Savings Total Electrical Energy Savings Gross Electrical Energy Savings – at the Meter (GWh) 17.307 NTGR 0.82 Net Electrical Energy Savings – at the Meter (GWh...
AI summary Table 26 presents the evaluated 2025 net electrical energy and peak demand savings from new construction, including gross and net savings at the meter and generator, line loss factors, and net lifetime energy savings. It also references Section 5.4 on realization rate.
[Table](#page-95-1) 27 below compares total 2025 tracked and evaluated savings for New Construction. It also includes the realization rate, representing the ratio of evaluated net savings to tracked net savings, for both electrical energy...
AI summary Table 27 compares total 2025 tracked and evaluated savings for new construction, including realization rates for electrical energy and peak demand savings.
6 Building Optimization Impact Evaluation The objectives of the 2025 Building Optimization impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as EUL values a...
AI summary The 2025 Building Optimization Impact Evaluation assessed energy savings, peak demand reductions, GHG emissions avoidance, and EUL values. It identified three savings categories, with nine single-year projects achieving final savings in 2025. No multiyear projects or partial savings claims were reported.
Table 32: Comparison of 2025 Building Optimization Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Electrical Energy Savings Tracked Savings by E1 0.609 GWh 0...
AI summary Table 32 compares tracked and evaluated savings from the 2025 Building Optimization program. Electrical energy and peak demand savings tracked by E1 matched evaluation results because no adjustments were made after project reviews, and the NTGR remained consistent with the 2021 Custom evaluation.
10 SEM Evaluation Approach The 2025 SEM evaluation comprised a comprehensive impact evaluation. The main objectives of the SEM evaluation were as follows: › Calculate SEM gross and net results, namely electrical first-year and lifetime ene...
AI summary The 2025 SEM evaluation aims to calculate gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The Evaluator identified key research questions and methods to achieve these objectives, with Table 35 outlining the evaluation objectives, research questions, methods, and sample sizes.
11.2.4 Evaluated Gross Savings The evaluated 2025 SEM gross electrical energy and peak demand savings at the generator are listed in [Table](#page-113-1) 36 below. The gross electrical energy and peak demand savings at the generator were e...
AI summary The document discusses the evaluation of gross savings for the 2025 Strategic Energy Management (SEM) program, estimating electrical energy and peak demand savings using line loss factors from the 2014 Cost of Service Study. It references the 2025 DSM Measure Assessment (MA) as a key document for calculating savings and includes data on the useful life of energy efficiency measures.
Table 36: Evaluated 2025 SEM Gross Electrical Energy and Peak Demand Savings New Projects Continuing Projects Total Number of Projects 3 8 11 Electrical Energy Savings Tracked Gross Electrical Energy Savings (GWh) 0.772 3.255 4.027 Adjustm...
AI summary Table 36 presents evaluated 2025 SEM gross electrical energy and peak demand savings, including tracked savings, adjustment ratios, and lifetime savings. The table also references GHG emission reductions calculated using a Nova Scotia-specific factor for electricity production.
Adjustment Ratio Calculation Adjustment ratios are determined by comparing revised savings values with tracked savings values. Due to the revisions made to this project, the calculated adjustment ratio for electrical energy savings was 0.8...
AI summary Adjustment ratios are calculated by comparing revised energy savings (188,809 kWh) to tracked savings (175,639 kWh), yielding a ratio of 1.075. However, the text states the adjustment ratio was 0.825 due to project revisions, highlighting a discrepancy between the calculation and reported value.
Efficiency Nova Scotia Simulation Model Review Protocol Custom New Construction 1. General Information Review Date: Contact Name: Project ID: Contact Title: Project Type: Contact Phone: Project Status: Email: Project Name: Address: Project...
AI summary This document outlines a protocol for reviewing the simulation model used by Efficiency Nova Scotia for custom new construction projects. It includes sections for general project information, facility operation schedules, and adjustments to the energy model based on specific measures.
Table 1: Participant Interview Questionnaire and Free-ridership Algorithm Question Answer Score 4) Definitely would not have 0% your project? 98) DK/Refuse EMPTY [ASK IF B5 ≠ 98] Did the energy 1) Yes B5 Score B6 modeling consultant help y...
AI summary This table from a Nova Scotia regulatory proceeding outlines a questionnaire used to assess participant responses regarding energy efficiency incentives and building design choices. It includes questions about the influence of energy modeling consultants and the impact of implementation incentives on building efficiency.
APPENDIX XVI SEM Detailed Project Review Adjustments = = Strategic Energy Management Efficiency Nova Scotia What is the baseline and is i t appropriate? Are savings annualized for a standard year? Are IE considered? EUL Tracked Evaluated %...
AI summary This section discusses the detailed project review adjustments for the Strategic Energy Management Efficiency Nova Scotia program, focusing on baseline determination, annualization of savings, consideration of independent variables, and statistical analysis of the regression equation used to evaluate energy savings.
Table 1: 2025 SEM Electrical Energy Savings Adjustments Project Tracked Savings (kWh) Evaluated Savings (kWh) Adjustment Ratio Explanation for Adjustment 1 344,071 344,071 1.000 None. 2 290,240 281,650 0.970 The Evaluator agrees that the u...
AI summary Table 1 outlines the 2025 SEM Electrical Energy Savings Adjustments for various projects. Adjustments were made based on specific evaluations, such as using different heating capacity and efficiency factors or adjusting power formulas and operating hours. Some projects had no adjustments.
Table 1: Summary of 2025 Direct Installation Program Evaluation Program Evaluation Type Component Impact Process Market Methodology Small Business Energy Solutions Condensed - - › Tracking sheet audit › Use of adjustment ratios (ARs) from...
AI summary The 2025 Direct Installation Program Evaluation includes tracking sheet audits, the use of adjustment ratios from 2023 with new interactive effects methodology, and GHG emission reduction calculations. It also involves the application of 2024 lighting interactive effects methodology and a jurisdictional scan for the 2025 BER-AR.
Effective Useful Life Update The Evaluator reviewed the EUL values for all measure categories and recalculated the EUL values of lighting measures for which baseline changes are anticipated during the measure lifetimes.
AI summary The Evaluator reviewed Effective Useful Life (EUL) values for all measure categories, focusing on recalculating EUL for lighting measures where baseline changes are expected during their lifetimes, reflecting updated assumptions about performance and usage.
3.2.5 Evaluated Gross Savings To obtain evaluated gross savings, the Evaluator applied the adjustment ratios[10](#page-13-1) established as part of the 2023 SBES impact evaluation to 2025 tracked savings. [Table](#page-14-0) 8 and [Table](...
AI summary The document discusses the calculation of evaluated gross savings for the 2025 SBES impact evaluation, using adjustment ratios from the 2023 SBES and line loss factors updated in 2019, submitted to the Nova Scotia Utility and Review Board (now the Nova Scotia Energy Board) as part of the 2014 Cost of Service Study Progress Update.
Table 8: Evaluated 2025 SBES Gross Electrical Energy and Peak Demand Savings – Audit Path Category of Measure Agriculture Commercial Kitchen HVAC Laundry Lighting Refrigeration Total for All Categories Electrical Energy Savings Gross Elect...
AI summary Table 8 provides an evaluation of the 2025 SBES (Small Business Energy Solutions) gross electrical energy and peak demand savings using an audit path. It includes data on energy savings across various categories, adjustment ratios, interactive effects, line loss factors, and effective useful life of measures.
Table 9: Evaluated 2025 SBES Gross Electrical Energy and Peak Demand Savings – DIY Path Category of Measure Agriculture Commercial Kitchen HVAC Laundry Lighting Motor Refrigeration Envelope Total for all Categories Energy Savings Gross Ele...
AI summary Table 9 and Table 10 evaluate the 2025 SBES gross electrical energy and peak demand savings for the DIY path and both paths combined. The tables include metrics such as energy savings, adjustment ratios, line loss factors, and effective useful life. Evaluated gross savings differ slightly from tracked values due to corrections in interactive effects factors.
Figure 6: 2025 SBES Tracked and Evaluated Gross Electrical Energy Savings at the Generator 0.043 1.699 0.043 1.717 0.000 0.250 0.500 0.750 1.000 1.250 1.500 1.750 2.000 Audit DIY Evaluated Gross Peak Demand Savings (MW) Tracked Gross Peak...
AI summary The text presents figures and tables related to energy savings and GHG emission reductions from the 2025 SBES program. It discusses gross electrical energy savings and peak demand savings, as well as the calculation of GHG emission reductions using a Nova Scotia-specific factor.
Table 14: Evaluated 2025 SBES Net Electrical Energy and Peak Demand Savings Measure Category Audit Path DIY Path Total Electrical Energy Savings Gross Electrical Energy Savings – at the Meter (GWh) 0.274 8.866 9.140 NTGR 0.88 0.80 - Net El...
AI summary Table 14 evaluates the 2025 SBES net electrical energy and peak demand savings, showing that SBES fell short of its energy savings target by 38% and its peak demand savings target by 46%. The table includes metrics such as gross and net electrical energy savings, line loss factors, and effective useful life.
Margin of Error Once regression analyses were completed, the Evaluator ensured that all coefficients were significant (p-value < 0.05). The following equation was used to establish the margin of error on the predicted load for each hour (h...
AI summary The Evaluator used regression analysis to ensure coefficient significance (p-value < 0.05) and established a margin of error formula for predicted hourly load. The equation incorporates RMSE_h, sample size (n_h), and deviations from the mean (x - x̄_h) to quantify uncertainty in predictions.
Regression Coefficients for EBB-only Participants Mondays Tuesdays Wednesdays Thursdays Fridays Hour of Week Baseload (𝜷𝑫,𝑯) HDD Coefficient (𝜶𝑫,𝑯) Baseload (𝜷𝑫,𝑯) HDD Coefficient (𝜶𝑫,𝑯) Baseload (𝜷𝑫,𝑯) HDD Coefficient (𝜶𝑫,𝑯) Baseload (𝜷𝑫,...
AI summary The document presents regression coefficients for EBB-only participants, showing baseload and HDD coefficients for different hours of the week, Monday through Friday. These coefficients are used to analyze energy consumption patterns and heating degree days.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Displaced wattage The displaced wattage is defined as the difference between the wattage values of the baseline equipment or product and the efficient equipment...
AI summary The text defines key terms related to energy efficiency and measurement accuracy. It outlines concepts such as displaced wattage, EnerGuide ratings, effective useful life, and equipment life, providing context for their application in assessing energy performance and efficiency.
Table 1: Residential Measure Assessment Change Log Change Type Section Description Date Update 2.4.3 (2) Refrigerator Retirements/Replacements 2.4.3 (3) Freezer Retirements/Replacements Update savings calculation methodology, savings value...
AI summary The document outlines updates to residential measure assessments, including changes to savings calculation methodologies, parameter values, and data sources for various energy efficiency measures, all implemented on March 9, 2023.
2.1.2 Peak Demand Savings Factors For all indoor and outdoor LED lamps, nightlights, and fixtures, the peak demand-to-energy ratio is based on the Northeast Residential Lighting Hours-of-Use (NERHOU)[12](#page-193-2) study, which establish...
AI summary The document discusses the peak demand-to-energy ratios for indoor and outdoor LED lamps, nightlights, and fixtures, recommending the use of 0.162 W/kWh based on the NERHOU study. It also references the use of ratios developed by Navigant for motion sensors during the 2020-2023 DSM cycle.
Summary [Table](#page-194-3) 7 presents a summary of the values used to calculate A-type, reflector, and decorative LED lamp savings. The detailed methodology follows.
AI summary Table 7 summarizes the values used to calculate savings for A-type, reflector, and decorative LED lamps. The detailed methodology for these calculations is provided in the document.
Table 7: LED Lamp Measure Summary Parameter EPI Reference Measure Description and Identification Measure LED lamps (A-type, Reflector, and Decorative) with direct installation - Baseline Existing incandescent or halogen lamps being replace...
AI summary Table 7 provides a summary of the LED lamp measure, including parameters such as installation rate, effective useful life, and energy savings. The table highlights variations in energy savings based on replaced and installed wattages and lamp types, with references to additional details in subsections and tables.
Hours of Operation The daily hours of operation value is based on the 2020 Residential Lighting Hours-of-Use Quick Hit Study (RLHOU)[14](#page-196-0) in which the data collected through the 2014 Northeast Residential Lighting Hours-of-Use...
AI summary The text analyzes residential lighting hours-of-use data from the RLHOU and NERHOU studies, noting efficient bulbs are used 0.1–0.2 hours longer daily due to factors like differential socket selection and snapback effects. For EPI, HOUs are set at 2.6 hours/day to avoid overestimating savings, while E1 uses NERHOU data. Studies found no HOU differences between single-family homes and apartments.
Table 11: LED Fixture with Motion Sensor Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure LED fixtures with motion sensors rebated in store - Baseline Standard-compliant new fixtures Genera...
AI summary Table 11 outlines the energy savings parameters for LED fixtures with motion sensors under the Instant Savings program, including unitary energy savings, peak demand savings, and interactive effects factors. The table provides details on installation rates, useful life, and calculations related to energy and demand savings.
Table 13: Dimmer Switch Measure Summary Damanatan In a facult Occidence EDI Deference Parameter Instant Savings EPI Reference Measure Description and lo dentification Measure Indoor dimmer switches r Savings) or with direct ins - Baseline...
AI summary Table 13 provides a summary of the dimmer switch measure, including parameters such as installation rate, energy savings, and interactive effects factors. It references studies and calculations for energy and peak demand savings, with data from the Ontario Power Authority.
Indoor Motion Sensors The unitary savings value for indoor motion sensors is based on the general lighting equation adapted as follows to consider the effect of motion sensing on energy consumption. $$Energy \ Savings \ \left[\frac{kWh}{yr...
AI summary The unitary savings value for indoor motion sensors is calculated using an adapted general lighting equation that considers the effect of motion sensing on energy consumption. The formula and parameters are summarized in Table 16.
The unitary savings value for indoor motion sensors is based on the general lighting equation adapted as follows to consider the effects of motion sensing and dimming on energy consumption. The annual energy savings corresponds to the diff...
AI summary The text explains the calculation of energy savings from indoor motion sensors and dimmer switches, using a formula that compares base and reduced consumption. The calculation involves parameters like average wattage, hours of use, and dimming percentage. References to studies and reports are provided for further context.
The unitary savings value for outdoor motion sensors is based on the general lighting equation adapted as follows to consider the effect of motion sensing on energy consumption. $$Energy \, Savings \, \left[\frac{kWh}{yr}\right] = \frac{(A...
AI summary The unitary savings value for outdoor motion sensors is calculated using an adapted general lighting equation that considers the effect of motion sensing on energy consumption. The equation uses parameters such as average wattage, old and new hours of use per day, and calculates annual energy savings in kilowatt-hours.
Table 20 lists the parameters and corresponding values used in the equation below for LED nightlights and the resulting unitary values. The values for displaced wattages and hours of operation are consistent with the values used by other j...
AI summary Table 20 presents parameters and values used in an energy savings equation for LED nightlights, with displaced wattages and hours of operation aligned with those used in Pennsylvania. The equation calculates annual energy savings in kWh based on old and new wattages and hours of use per day.
Since solar fixtures consume no electricity from the grid, all the electrical energy consumed by the baseline fixture is saved. The only solar fixtures offered are outdoor security fixtures with or without motion sensors. The same unitary...
AI summary The text discusses the calculation of energy savings for solar fixtures, noting that they consume no grid electricity. It explains the formula used to determine unitary savings values, which are based on baseline wattage and hours of use. Only outdoor security fixtures with or without motion sensors are considered, and the same unitary savings value is applied to both.
Table 25: Interactive Effects Factors for Pipe Insulation and Hot Water Tank Wraps Parameter Energy Interactive Effects During Heating Period Energy Interactive Effects During Cooling Period Total Energy Interactive Effects Peak Demand Int...
AI summary Table 25 presents interactive effects factors for pipe insulation and hot water tank wraps in various residential and apartment settings, showing significant energy and peak demand impacts during heating and cooling periods. The table includes calculations for different heating and cooling scenarios, such as heat pump heating, electrical heating with and without air conditioning, and no electrical heating.
Table 28: Drain Water Heat Recovery Measure Summary Parameter MHEEP Reference Measure Description and Identification Measure Drain water heat recovery for electric DHW heating with direct installation - Baseline Shower drains without drain...
AI summary Table 28 summarizes the Drain Water Heat Recovery Measure, including parameters such as installation rate, effective useful life, energy savings, and peak demand savings. The measure involves direct installation for electric domestic hot water heating and assumes a 100% installation rate with a 20-year useful life.
The DWHR unitary savings values were determined using the HOT2000 simulation tool since it includes DWHR as an option. Although a typical single-family home and multifamily building were modelled, the savings for DWHR were the same regardl...
AI summary The document discusses the determination of unitary savings values for DWHR using the HOT2000 simulation tool, noting that savings per occupant were consistent across building types.
Table 29: Electrical Unitary Energy Savings Values for Drain Water Heat Recovery Systems Parameter MHEEP Reference Inputs to the HOT2000 Simulation Number of Showers per Person per Day [shower] 0.67 Mayer, Oreo et al.34 Average Shower Dura...
AI summary This table presents the electrical unitary energy savings values for drain water heat recovery systems, including parameters such as the number of showers per person per day, average shower duration, and energy savings per occupant. The data is derived from various studies and simulations.
Table 31: Heat Pump Water Heater Measure Summary Parameter HEA HPWH Instant Savings, Reference Measure Description and Identification Measure - Baseline Electric resistance water heating Application Value for non-electric space heating Val...
AI summary Table 31 provides a summary of the Heat Pump Water Heater (HPWH) measure, including parameters such as installation rates, energy savings, and peak demand savings. It also references other sections of the document for detailed calculations and additional information.
Table 32: Electrical Unitary Savings Values for Heat Pump Water Heaters HEA Instant Savings, HPWH Parameter Symbol Non- electric Space Heating Electric Resistance Space Heating Heat Pump Space Heating Non- electric Space Heating Electric R...
AI summary Table 32 presents electrical unitary savings values for heat pump water heaters in Nova Scotia, including savings estimates, the share of electric water heaters, and average unitary energy savings. It also includes references to studies and data sources.
Table 33: Low-flow Showerhead Measure Summary Parameter EP Reference Measure Description and Identification Measure Low-flow showerheads s for electric D HW heating v vith direct insta allation - Baseline 5 Standard show erhead with a flow...
AI summary Table 33 provides a summary of low-flow showerhead measures, including baseline standards, installation rates, effective useful life, and energy savings parameters such as unitary energy savings and peak demand savings. The table details various flow rate reductions and their corresponding energy efficiency impacts.
The equations below are used to determine the annual unitary savings values for low-flow showerheads. The reduction in domestic hot water consumption is established by the difference between the base and efficient domestic hot water consum...
AI summary The text provides equations to calculate annual energy savings from low-flow showerheads by reducing domestic hot water consumption. It outlines parameters and their values used in the calculations, including factors like water reduction, efficiency, and temperature differences.
The equation below is used to calculate the annual unitary savings value for faucet aerators. $$\begin{split} &Energy \, Savings \left[\frac{kWh}{yr}\right] \\ &= \frac{\left(DHW_{base} - DHW_{efficient}\right) \left[\frac{gal}{day}\right]...
AI summary The text provides equations for calculating annual unitary savings from faucet aerators by comparing base and efficient domestic hot water consumption values, using parameters such as flow rates and energy conversion factors.
Table 38: Electrical Unitary Savings Values for Faucet Aerators Parameter Symbol Value for Single-family Homes Value for Apartments Reference Baseline Flow Rate [gpm] Qbase 1.39 1.39 DeOreo et al. in Residential End Uses of Water Study Upd...
AI summary Table 38 presents electrical unitary savings values for faucet aerators in single-family homes and apartments, including parameters like baseline flow rate, low-flow rate, number of faucets, and energy savings calculations. The data references studies and conventions from various sources.
Table 40: Thermostatic Shower Valve Measure Summary Parameter EPI Reference Measure Description and Identification Measure Thermostatic shower von DHW heating with direct - Baseline Showerheads with a flogpm with no thermosta Application S...
AI summary Table 40 provides a summary of the Thermostatic Shower Valve Measure, including parameters such as installation rates, energy savings, and peak demand savings. The table outlines the measure's application, effective useful life, and energy efficiency metrics.
The equation below is used to determine the annual unitary savings values for thermostatic shower valves. Energy savings are established by calculating the reduction in domestic hot water usage, as presented in the second equation below.
AI summary The document provides equations for calculating annual unitary savings values for thermostatic shower valves, based on the reduction in domestic hot water usage.
Table 43: Pipe Insulation Measure Summary Parameter EPI Reference Measure Description and Identification Measure Pipe insulation of 0.75 in. in thickness for electric DHW heating with direct installation - Baseline Pipes with no insulation...
AI summary Table 43 summarizes the pipe insulation measure, including details such as measure description, baseline, installation rate, effective useful life, and energy savings parameters. The table provides specific values for unitary energy savings, peak demand-to-energy ratio, and other related calculations.
Table 44: Unitary Savings Value for Pipe Insulation Parameter EPI Unitary Energy Savings (per ft) [kWh/year] 12.7 Installation Rates [Table](#page-27-3) 45 lists the installation rate for EPI pipe insulation.
AI summary Table 44 presents the unitary energy savings value for pipe insulation, with a value of 12.7 kWh/year per foot. Table 45 is referenced for installation rates of EPI pipe insulation.
Table 46: Hot Water Tank Wrap Measure Summary Parameter EPI Reference Measure Description and Identification Measure Existing electric DHW heater with added tank wrap with direct installation - Baseline Existing hot water tanks without wra...
AI summary Table 46 provides a summary of the Hot Water Tank Wrap Measure, including parameters such as measure description, baseline, application, installation rate, effective useful life, and energy savings. It outlines the electrical savings parameters and references subsections for further details.
Table 47: Electrical Unitary Savings Values for Hot Water Tank Wraps Parameter Value for Single-family Homes Value for Apartments Reference Layer 1: Interior Insulation of Tank External Radius of the Layer [m] re 0.300 0.280 Giant60 Intern...
AI summary Table 47 presents electrical unitary savings values for hot water tank wraps in single-family homes and apartments, including parameters such as thermal resistance, heat transfer, and energy savings calculations based on various references and assumptions.
Table 49: Interactive Effects Factors for Space Heating Measures Measure Interactive Effects Factor for Energy Savings Interactive Effects Factor for Peak Demand Savings Reference Mini-split Heat Pump 0% 0% No interactive effects for space...
AI summary Table 49 outlines interactive effects factors for various space heating measures, noting that mini-split heat pumps have 0% interactive effects for both energy and peak demand savings. Other measures like central air-source and ground-source heat pumps are mentioned, though their factors are not fully detailed. The table references a technical manual from the Pennsylvania Public Utility Commission.
Table 51: Mini-split Heat Pump Measure Summary Parameter Green Heat ASFH HEA MHEEP Reference Measure Description and Identification Measure Mini-split heat pumps for high-efficiency space heating with direct installation (ASFH, HEA, MHEEP)...
AI summary Table 51 summarizes the parameters for the mini-split heat pump measure, including installation rates, energy savings, and peak demand savings. The table outlines details for different programs such as Green Heat, ASFH, HEA, and MHEEP.
g system is 84% (a value drawn from 2024-2026 Government-funded Measure Assessment). MSHP savings through ASFH are calculated using the variables defined and listed in the equation and Table 52 below. $$Energy \, Savings_{kWh} = \%electric...
AI summary The document calculates energy savings from MSHP installations in ASFH using a formula that considers the percentage of electric heat, heating capacity, coefficient of performance (COP), and equivalent full load hours (EFLH). The base COP is derived from the percentage of electric heat and the system efficiency of 84%.
Unitary Peak Demand Savings For CASHPs installed under Green Heat, rated heating capacity and COP at -15°C are not always available. The Evaluator looked into the specification details of CASHPs installed through Green Heat in 2022 and was...
AI summary The document discusses the calculation of unitary peak demand savings for Central Air-Source Heat Pumps (CASHPs) installed under the Green Heat program. It highlights the challenges in obtaining specific parameters like rated heating capacity and COP at -15°C and provides a formula for calculating peak demand savings.
Table 58: Electrical Unitary Savings Values for Ground-source Heat Pumps in Green Heat Parameter Symbol Value Reference Rated heating capacity of the new heat pump [Btu/h] 𝐻𝐶 Specification data for each installed system AHRI certified valu...
AI summary Table 58 presents electrical unitary savings values for ground-source heat pumps in the Green Heat program, including parameters like heating and cooling capacity, performance factors, and load hours, with references to AHRI certified values and technical manuals.
$Peak \ Demand \ Savings_W = Previous \ Peak \ Demand \ Savings_W \times \frac{Energy \ Savings_{kWh}}{Previous \ Energy \ Savings_{kWh}}$ Table 60: Unitary Peak Demand Savings Values for Wood or Pellet Stoves and Fireplace Inserts Greei n...
AI summary The document presents a formula for calculating peak demand savings and includes Table 60, which provides unitary peak demand savings values for wood or pellet stoves and fireplace inserts. It references previous energy savings data and a calculation method for determining current peak demand savings.
Table 62: Electrical Unitary Energy Savings Values for Wood and Pellet Boilers and Furnaces Green Heat ĒΑ Parameter Symbol Wood Furnace or Boiler Pellet Furnace or Boiler Wood Furnace or Boiler Pellet Furnace or Boiler Reference Coefficien...
AI summary Table 62 presents electrical unitary energy savings values for wood and pellet boilers and furnaces, comparing the coefficient of performance for baseline electric resistance and heat pumps, along with annual energy savings calculations based on these values.
The electrical unitary energy savings values of the window kit measure are calculated using the equations below. $$Energy \, Savings \, (kWh) = ES_{sealing} + ES_{insulation}$$ $$ES_{sealing} = \frac{n_{window} \times p_{window} \times ESP...
AI summary The document outlines the methodology for calculating energy savings from window film kits using equations that incorporate factors such as sealing, insulation, heating degree days (HDD), and resistance values. The calculations are based on data from Connecticut and Iowa, adjusted for the Nova Scotia context.
Table 69: Electrical Unitary Savings Calculations for Window Film Kits Parameter Symbol Value for Electrical Resistance Heated Homes Value for Heat Pump Heated Homes Reference Number of Windows Insulated nwindow 2 Assumption that one windo...
AI summary Table 69 provides calculations for electrical unitary savings from window film kits in both resistance-heated and heat-pump-heated homes, using parameters such as heating degree days, coefficient of performance, and energy savings per foot of tape.
Table 72: Non-learning Smart Thermostat for Electrical Heating System Measure Summary Parameter ASFH, Instant Savings EPI Reference Measure Description and Identification Measure Non-learning smart thermostats with programmable schedules t...
AI summary Table 72 provides a summary of the Non-learning Smart Thermostat for Electrical Heating System Measure, including parameters such as installation rates, effective useful life, and energy savings. It outlines energy savings for different heating systems and subcategories, such as single-family homes and apartments.
Some models of smart thermostats are compatible with electrical heating systems. They operate by connecting to a single baseboard, MSHP, or in-floor heating system as opposed to a central heating system. The equation below is used to calcu...
AI summary The document discusses the calculation of energy savings from smart thermostats installed in electrical heating systems, including baseboard, MSHP, and in-floor systems. It references studies and categories of thermostats, such as programmable, non-learning smart, and advanced learning, to determine a 10.2% heating consumption savings percentage based on the 2025 Illinois TRM.
-54-0) because the Evaluator concluded that the efficient thermostat, as it was described in the corresponding algorithm, most resembled the non-learning smart thermostats installed or incented by E1. As previously mentioned, electric base...
AI summary The text discusses the evaluation of energy savings from efficient thermostats, noting that they resemble non-learning smart thermostats. It mentions the pairing of heating systems with compatible thermostats and references a technical manual for energy efficiency calculations.
Table 73: Electrical Unitary Energy Savings Calculation for Non-learning Smart Thermostats for Electrical Heating Systems ASFH, EPI, Instant Savings Single-family homes Apartments Reference Parameter Symbol Value for Electric Baseboard or...
AI summary Table 73 presents an analysis of energy savings from non-learning smart thermostats in electrical heating systems, including values for single-family homes and apartments. It includes parameters such as average heating energy consumption, percentage of heating load saved, and unitary savings. The data is based on HEA tracking sheets and assumptions from the 2025 Illinois TRM.
Table 76: Billing Analysis Savings Results for Advanced Learning Thermostats for Central Heating Systems Jurisdiction Measure Sample Size Heating Consumption Savings Oregon96 Nest learning thermostats 185 12% (for ASHPs) Bonneville Power A...
AI summary Table 76 and Table 77 analyze the energy savings from advanced learning thermostats for central heating systems in Oregon and the Bonneville Power Administration. The data shows a 12% savings in heating consumption for air-source heat pumps (ASHPs), with unitary energy savings calculated based on parameters such as heating energy consumption, percentage of heating load saved, and coefficient of performance (COP).
Table 81: Electrical Unitary Savings Values for Clotheslines and Outdoor Drying Racks Parameter Value Reference Number of Laundry Loads per Year [loads/year] 197 Research to update this value showed that it hardly changed, so the one estab...
AI summary Table 81 provides electrical unitary savings values for clotheslines and outdoor drying racks, including parameters like the number of laundry loads per year, proportion of loads dried on clotheslines, energy consumption per load, and calculated unitary energy savings.
The following equations are used to determine the electrical unitary energy savings value of retired and replaced refrigerators. ℎ = × × × − = ∑( × %) Average annual per-cubic-foot energy consumption is calculated using 2017 metering activ...
AI summary The document outlines the methodology for calculating the electrical unitary energy savings value of retired and replaced refrigerators, including the use of average annual energy consumption data from 2017 and NRCan analyses, adjustments for aging appliances, and the use of weighted averages based on 2024 tracking sheet data.
Water Heating Adjustment Both energy consumption values do not take into account the proportion of hot water for clothes washers produced with electricity in Nova Scotia, nor the use of cold water for washing. Therefore, the energy consump...
AI summary The text discusses the need to adjust energy consumption calculations for clothes washers in Nova Scotia, considering the proportion of hot and cold water usage during the washing process. Correction factors are applied at each stage of the washing process to improve accuracy.
Adjusted Energy Consumption [Table](#page-78-0) 96 and [Table](#page-78-1) 97 below present the calculations of total electricity consumption for baseline and efficient clothes washers respectively. 141 Ad Hoc Recherche, Rapport d'évaluati...
AI summary The text discusses the calculation of total electricity consumption for baseline and efficient clothes washers, referencing reports and data from EPI (Efficient Product Installation) tracking sheets. It highlights discrepancies in data from NRCan and the use of updated EPI data post-2021 program changes.
Table 96: Electricity Consumption for Baseline Clothes Washers Energy Consumption Component Energy Consumption (kWh/year) Adjustment Factor for Electrical Water Heating Adjustment Factor for Cold Water Usage Adjusted Energy Consumption (kW...
AI summary The tables present electricity consumption data for baseline and efficient clothes washers, including energy consumption components, adjustment factors, and adjusted energy consumption values. The unitary energy savings value is calculated based on the difference between baseline and efficient models.
First, the energy consumption values of both baseline and efficient clothes washers are determined using the following equation. $$Clothes \ Washer \ Energy \ Consumption \ [kWh] = \frac{Number \ of \ Loads \ \left[\frac{Loads}{Year}\right...
AI summary The document outlines a formula used to calculate the energy consumption of both baseline and efficient clothes washers, with parameters and corresponding values provided in a table for their application in the calculation.
Table 102: Energy Consumption Breakdown for Baseline and Efficient Clothes Washers Energy Consumption Breakdown for Clothes Washers Proportion of Overall Consumption148 Baseline Clothes Washer Electricity Consumption (kWh/year) Efficient C...
AI summary The table provides an energy consumption breakdown for baseline and efficient clothes washers, highlighting significant reductions in electricity use across water heating systems, clothes dryers, and washer drums. The analysis also includes an adjustment factor for cold water washing based on Hydro-Québec survey data and references data from EPI tracking sheets to determine the proportion of electrically heated water in Nova Scotia.
Table 104: Electricity Consumption for Baseline Clothes Washers Energy Consumption Component Energy Consumption (kWh/year) Adjustment Factor for Electrical Water Heating Adjustment Factor for Cold Water Usage Adjusted Energy Consumption (k...
AI summary The text presents tables comparing the electricity consumption of baseline and efficient clothes washers, including adjustment factors for water heating and cold water usage. The unitary energy savings value is calculated based on the difference in energy consumption between the two types of washers.
Table 108: Electrical Unitary Savings Values for ENERGY STAR Certified Room Air Purifiers Parameter Symbol Instant Savings Reference Clean Air Delivery Rate [cfm] 𝐶𝐴𝐷𝑅 172 Weighted average of the 10 most sold models in the 2024 tracking sh...
AI summary Table 108 presents electrical unitary savings values for ENERGY STAR certified room air purifiers, including parameters such as Clean Air Delivery Rate, efficiency for baseline and efficient units, annual operating hours, standby power, and unitary energy savings. These values are derived from weighted averages of the 10 most sold models in the 2024 tracking sheet and calculated using the Savings Calculator for ENERGY STAR Qualified Appliances.
The electrical unitary energy savings value is determined by using the following equation for ENERGY STAR certified dishwashers. $$\begin{split} \textit{Energy Savings} & \left[ \frac{kWh}{year} \right] \\ & = \left( \textit{Consumption}_{...
AI summary The document provides an equation for calculating the electrical unitary energy savings value for ENERGY STAR certified dishwashers, using parameters such as consumption, operation percentage, water heating percentage, and number of loads. A table lists the parameters and resulting savings values, with the baseline representing non-ENERGY STAR certified models.
Table 110: Electrical Unitary Savings Values for ENERGY STAR Certified Dishwashers Parameter Symbol Instant Savings Reference Baseline Consumption [kWh] Consumptionbase 260 Average of non-ES models in Natural Resources Canada, Searchable p...
AI summary Table 110 presents electrical unitary savings values for ENERGY STAR certified dishwashers, including baseline and efficient unit consumption, percentages of energy use for operation and water heating, and average annual load numbers. The data sources include Natural Resources Canada, Illinois TRM, and EPI tracking sheets from Nova Scotia.
Summary [Table](#page-87-0) 111 presents a summary of the values used to calculate humidity sensor for bathroom exhaust fan savings. The detailed methodology follows.
AI summary Table 111 summarizes the values used to calculate humidity sensor for bathroom exhaust fan savings, with a detailed methodology provided afterward.
Table 111: ENERGY STAR Certified Bathroom Exhaust Fan Summary Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR certified bathroom exhaust fans without lighting included and with a minimum effic...
AI summary This table outlines the energy savings parameters for ENERGY STAR certified bathroom exhaust fans, including unitary energy savings, peak demand savings, and other relevant metrics. The measure involves replacing existing fans with more efficient models.
Table 115: Electrical Savings Values for Humidity Sensors for Bathroom Exhaust Fans Parameter Symbol EPI Reference Fan Efficiency [CFM/W] 𝜂𝑓𝑎𝑛 3.5 ENERGY STAR min standard, 2024159 Savings Percentage % Savings 50% Demand-controlled ventila...
AI summary Table 115 outlines electrical savings values for humidity sensors used in bathroom exhaust fans, including fan efficiency, savings percentage, fan exhaust rate, annual operating hours, and energy savings. The data is based on ENERGY STAR standards and case studies, with savings calculated for electric heating systems.
Table 116: Electrical Heating per Heating Source Savings Values for Humidity Sensors for Bathroom Exhaust Fans Parameter Symbol EPI Reference Density of Air [kg/m3 ] 𝜌 1.293 Convention Heat Capacity of Air [J/kg/°C] 𝐶𝑝 1005 Convention Fan...
AI summary The table provides energy savings values for humidity sensors in bathroom exhaust fans under different heating sources. It includes parameters such as air density, heat capacity, operating hours, temperature differences, and COP values for electric resistance and heat pumps. Calculations show energy savings for both heating sources.
Table 120: Smart Power Controllers for Audiovisual Equipment Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Smart power controllers for audiovisual equipment rebated in store - Baseline N...
AI summary Table 120 provides a summary of a measure involving smart power controllers for audiovisual equipment. It outlines parameters such as installation rate, useful life, and energy savings. The measure is categorized as Tier 1 power strip, and the baseline is non-smart power controllers.
[Table](#page-93-1) 121 presents the annual unitary savings values for EPI and for Instant Savings and the source of those values. Table 121: Electrical Unitary Savings Values for Smart Power Controller Audiovisual Equipment Parameter Inst...
AI summary Table 121 presents annual unitary energy savings values for EPI and Instant Savings, with the source cited as NMR Group, 2019166. The table includes parameters such as unitary energy savings in kWh/year for audiovisual equipment.
Table 123 below presents the parameters used in equation below to calculate the electrical unitary savings resulting from the installation of power bars with integrated timers. The methodology and parameters used were drawn from the 2011 O...
AI summary The text describes a methodology for calculating energy savings from power bars with integrated timers, referencing the 2011 OPA Prescriptive Measures and Assumptions List with a minor adjustment to the number of days used per year.
Table 126: ENERGY STAR Certified Pool Pump Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description ENERGY STAR certified pool pumps rebated in store - Baseline Standard efficiency elec...
AI summary This table summarizes the ENERGY STAR certified pool pump measure, including details on energy savings, installation rates, and life expectancy. The measure involves rebating energy-efficient pool pumps and outlines parameters such as unitary energy savings and peak demand-to-energy ratios.
3.1 LED Lamps and Fixtures To establish lifetime energy savings for LED lamps and fixtures, the equipment life is determined using rated lifetimes identified in product specification sheets and annual HOU, as described in the equation belo...
AI summary The document discusses the calculation of equipment life for LED lamps and fixtures using rated lifetimes and annual HOU, and the need to adjust equivalent EUL annually due to regulatory changes affecting baseline shifts over time.
Table 142: EUL Values and Sources for Non-LED Lighting Residential Measures Measure Name Program Component EUL Value Reference ENERGY STAR Certified Dishwashers Instant Savings 11 DEER, 2014179 (Value for high efficiency dishwashers) ENERG...
AI summary Table 142 provides Effective Useful Life (EUL) values for various non-LED lighting and residential energy efficiency measures, along with their sources. The table includes measures such as ENERGY STAR certified dishwashers, bathroom exhaust fans, dimmer switches, and heat pump water heaters, with EUL values ranging from 9.5 to 20 years.
2025 DSM Measure Assessment Final Report 129 179 California Public Utilities Commission. DEER 2014. EUL table update, Excel spreadsheet (version 2014) downloadable via READI (last accessed June 16, 2020). 180 Retrieved from Measure Name Pr...
AI summary The document presents a table with various energy efficiency measures, their program components, effective useful life (EUL) values, and references. It includes details for items like thermostatic shower valves, pipe insulation, heat pumps, and solar air heating systems, citing sources such as DEER 2014 and the U.S. Department of Energy.
Table 143: Commercial Measure Assessment Change Log Change Type Section Description Date Update 1.1.1(2) Advanced RTU Controls Update savings calculation methodology 2023-03-09 Update 3.1 EUL - LED Lamps and Fixtures Update EUL values and...
AI summary This table documents changes to the Commercial Measure Assessment, including updates to savings calculation methodologies, new measures such as compressed air leak repairs and variable frequency drives, and the removal of the booster pump from BER Instant Rebates. It also outlines the creation of separate residential and commercial reports and the addition of LED roadway lighting and smart thermostats for electric heating.
6.1.1 Interactive Effects Pursuant to a literature review of methodologies used by other jurisdictions and of a Uniform Methods Project recommendation, the interactive effects calculation methodology for lighting measures is based on an en...
AI summary The interactive effects calculation methodology for lighting measures adjusts factors based on the COP of heating/cooling systems and whether the lighting is recessed or non-recessed. For BER-AR and SBES (excluding the CDI Pilot), factors are further differentiated by building type and heating/cooling system type.
Table 145: BER-AR and SBES Interactive Effects (IE) Factors for Non-recessed Indoor Lighting IE Energy IE Demand Building Type Heat Pump Electric Resistance Non-electric or No Heating Heat Electric Non electric Heating and Cooling Heating...
AI summary Table 145 presents interactive effects (IE) factors for non-recessed indoor lighting under BER-AR and SBES, showing energy and demand impacts across different building types and heating systems, with percentages indicating energy savings or increases.
For indoor lighting measures offered through the CDI Pilot, the interactive effects factors used for energy and peak demand savings are based on the average values of indoor lighting products installed through SBES in 2025. [Table](#page-1...
AI summary The text discusses the use of interactive effects factors for indoor lighting measures in the CDI Pilot, referencing average values from SBES installations in 2025 and a table summarizing these factors for BER-IR and the SBES CDI Pilot.
Table 147: BER-IR and SBES CDI Pilot Interactive Effects (IE) Factors for Lighting Measures Measure IE Factor for Electrical Energy Savings IE Factor for Peak Demand Savings BER-IR Linear LED Fixtures Recessed -7.8% -25.0% and Lamps Non-re...
AI summary Table 147 presents interactive effects (IE) factors for lighting measures under BER-IR and SBES CDI Pilot, showing varying impacts on energy savings and peak demand. Outdoor lighting measures have nil interactive effects, while high bay fixtures are assumed to have minimal impact due to heat dissipation.
Unitary Peak Demand Savings Calculations Peak demand savings are calculated by multiplying the unitary demand savings value by the peak coincidence factor as detailed in the equation below. () = () × (%) The unitary demand savings value co...
AI summary The text explains the calculation of peak demand savings using the unitary demand savings value multiplied by the peak coincidence factor. It also provides the formula for unitary demand savings, derived by dividing unitary energy savings by hours of use (HOU).
Table 150: Lighting Gross Savings Adjustments Ratios Source Energy Savings Peak Demand Savings Program Component Evaluation Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error BER-AR Lighting Measures (except LED Roadw...
AI summary Table 150 presents Lighting Gross Savings Adjustments Ratios for various lighting measures under different programs, including BER-AR, SBES, and the SBES CDI Pilot. The table includes adjustment ratios and margins of error for energy and peak demand savings, based on evaluation reports from 2019 to 2025.
Table 154: Linear LED Fixture Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Linear LED fixtures (Luminaires, Retrofit Kits, Linear Ambient and Low bay Luminaires), rebated in store Li...
AI summary Table 154 provides a summary of linear LED fixture measures, including descriptions, baseline comparisons, and energy savings adjustment ratios. It outlines parameters such as energy savings, peak demand savings, and interactive effects factors for different types of fixtures.
Table 157: Linear LED Lamp Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Linear LED lamps, rebated in store Linear LED lamps, rebated after installation See Table 274 for BER-IR basel...
AI summary Table 157 provides a summary of linear LED lamp measures, including baseline parameters, energy savings adjustment ratios, and interactive effects factors for energy and peak demand savings. It outlines the differences between BER-IR, BER-AR, and SBES measures.
Table 160: Outdoor LED Fixture Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Outdoor LED fixtures, rebated in store Outdoor LED fixtures, rebated after installation See Table 162 and...
AI summary Table 160 provides a summary of the Outdoor LED Fixture Measure under the Business Energy Rebates (BER) program. It outlines parameters such as baseline lighting types, energy savings adjustment ratios, peak demand savings ratios, and other technical details for both BER-IR and BER-AR programs, referencing specific subsections and studies for further information.
Table 161: Electrical Unitary Energy Savings Values for Outdoor LED Fixtures Parameter Symbol Value for BER-IR Value for BER- AR and SBES Reference Baseline Wattage [W] Baseline Wattage Based on fixture type and lumen output Actual IR: See...
AI summary Table 161 outlines the electrical unitary energy savings values for outdoor LED fixtures, including baseline wattage, new wattage, and hours of operation. The table provides different values for BER-IR, BER-AR, and SBES, with references to other tables and specification data for calculations.
Both subcategories are divided into groups by lumens output to assign the correct baseline wattages, and the baseline technology used for each subcategory differs. Weighted averages of 50% MH and 50% HPS fixture system wattages are used to...
AI summary The text discusses the categorization of outdoor wall-mounted area luminaires based on lumens output to determine baseline wattages. It mentions the use of weighted averages of 50% metal halide (MH) and 50% high-pressure sodium (HPS) fixture system wattages for different types of luminaires, as detailed in Table 162.
Lumens Range MH Baseline Fixture Wattage (W) HPS Baseline Fixture Wattage (W) Weighted Average Baseline Wattage (W) ≥ 300 and < 2,000 43 46 44.5 ≥ 2,000 and < 5,000 95 95 95.0 ≥ 5,000 and < 15,000 295 250 272.5 ≥ 15,000 and < 25,000 458 46...
AI summary The text presents tables comparing baseline wattages for different lumens ranges of metal halide (MH) and high-pressure sodium (HPS) fixtures, used for calculating energy savings in the Business Energy Rebates – Instant Rebates (BER-IR) program. These tables help in selecting efficient LED fixtures based on required light output.
Summary [Table](#page-140-1) 167 presents a summary of the values used to calculate occupancy/motion sensor savings. The detailed methodology follows.
AI summary Table 167 summarizes the values used to calculate occupancy/motion sensor savings, with a detailed methodology provided in the document.
Table 167: Occupancy/Motion Sensor Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Occupancy/Motion sensors, rebated in store Occupancy/Motion sensors, rebated after installation - Base...
AI summary Table 167 provides a summary of occupancy/motion sensor measures and their associated energy savings parameters, including adjustment ratios, effective useful life, and unitary energy savings for different rebate programs such as BER-IR, BER-AR, and SBES.
Table 168: Electrical Unitary Energy Savings Values for Occupancy/Motion Sensors Parameter Type of Occupancy Sensor Value for BER-IR Value for BER AR and SBES Reference Connected Wattage (W) Interior 110 Actual Average connected wattage fo...
AI summary Table 168 provides electrical unitary energy savings values for occupancy/motion sensors based on data from 2021 to 2023, including connected wattage, savings factors, and hours of operation. The values are derived from Efficiency Vermont TRM and program data, with specific exceptions for exterior sensors.
Table 172: LED Roadway Lighting Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure LED, DLC Premium qualified roadways lighting with a minimum efficacy of 150 lm/W, with advanced dimming based o...
AI summary Table 172 outlines the LED roadway lighting measure summary, including details such as the measure description, baseline, installation rate, effective useful life, and energy savings parameters. It specifies that the measure involves LED, DLC Premium qualified roadway lighting with a minimum efficacy of 150 lm/W, and provides calculations for energy savings and peak demand savings.
Table 176 lists the parameters and corresponding values used in the equation below for horticultural lighting and the resulting unitary peak demand savings values. $$\textit{Unitary Peak Demand Savings} \ [kW] = \frac{(W_b[W] \times Qty_b[...
AI summary The text references a formula for calculating unitary peak demand savings in horticultural lighting, citing a study on energy use in the cannabis industry and a technical reference manual from the Iowa Utilities Commission. It includes a table and a figure reference.
Table 176: Unitary Peak Demand Savings Values for Horticultural Lighting BER-AR SBES Parameter Symbol Retrofit Retrofit New Construction Reference Peak Coincidence Factor [-] PCF Actual Actual Use information in TS Energy Savings Interacti...
AI summary Table 176 presents unitary peak demand savings values for horticultural lighting, including parameters such as peak coincidence factor, energy savings interactive effects factor, and conversion factor. The table outlines calculation methods for retrofit and new construction scenarios based on project data and technical references.
Table 177: Pump Gross Savings Adjustment Ratios Source Energy Savings Peak Demand Savings Program Component Evaluation Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error BER-AR 2025 0.951 5.8% 0.514 21.9% 6.2.4 Pump M...
AI summary Table 177 presents Pump Gross Savings Adjustment Ratios for the BER-AR program component in 2025, showing an energy savings adjustment ratio of 0.951 with a 5.8% margin of error and a peak demand savings adjustment ratio of 0.514 with a 21.9% margin of error. Section 6.2.4 discusses Pump Measures.
Table 178: Circulator Pump Measure Summary Parameter BER-IR, BER-AR, SBES Reference Measure Description and Identification Measure Variable speed electronically commutated motor (ECM) circulator pumps, rebated in store - Baseline Single-sp...
AI summary Table 178 provides a summary of circulator pump measures, including details on energy savings, peak demand savings, and installation rates for different rebate programs. It outlines parameters such as energy savings adjustment ratios, effective useful life, and unitary energy savings for various pump categories.
Table 182: Electrical Unitary Energy Savings Values for Booster Pumps Parameter Symbol BER-AR, SBES Reference Rated Horsepower of the New Booster Pump or Pumping System [HP] 𝐻𝑃𝑒𝑒 Specification data for each system Tracking sheet Reduction...
AI summary Table 182 provides electrical unitary energy savings values for booster pumps, including parameters like rated horsepower, energy savings per horsepower, and annual energy savings calculations. It references the 2024 Hawaii TRM199 and mentions calculation methods based on specification data.
Table 185: Electric Thermal Storage Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure load, rebated after installation Electric thermal storage systems to reduce peak demand space heating - Base...
AI summary Table 185 outlines the Electric Thermal Storage Measure Summary, detailing parameters for BER-AR and SBES, including installation rates, energy savings adjustment ratios, and effective useful life. It also references subsections in the Technical Reference Manual for additional details on energy and peak demand savings.
Table 189: Unitary Peak Demand Savings Values for Advanced RTU Controls Parameter Symbol BER-AR Reference Demand Savings Factor [kW/hp] 𝐷𝑆𝑉𝐺 0.252 2025 Massachusetts Peak Coincidence Factor [-] 𝑃𝐶𝐹 1.0 TRM211 Conversion Factor [W/kW] - 1,0...
AI summary Table 189 presents unitary peak demand savings values for advanced RTU controls, including parameters such as demand savings factor, peak coincidence factor, and conversion factor. The table references a 2025 Massachusetts Technical Reference Manual and includes a calculation method for unitary peak demand savings based on specification data for each rebated unit.
Table 190: Smart Thermostat for Electric Heating Measure Summary Parameter BER-AR, BER-IR, SBES Reference Measure Description and Identification Measure Smart thermostats for electric baseboards, in floor radiant heating, and heat pumps, r...
AI summary This table outlines the Smart Thermostat for Electric Heating Measure Summary, detailing parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and unitary energy savings for various heating systems.
Table 192: Electrical Unitary Energy Savings Calculation for Smart Thermostats for Electric Heating Parameter Symbol Value for Electric Baseboard Value for MSHP Value for Electric In-floor Heating Value for Central Heat Pumps Reference Ave...
AI summary Table 192 calculates the energy savings from smart thermostats for different heating systems, including electric baseboard, MSHP, electric in-floor heating, and central heat pumps. It includes parameters like average heating energy consumption, percentage of heating load saved, and the coefficient of performance for each system.
Table 194: Electrical Unitary Energy Savings Values for Air-source Heat Pumps Less Than 65,000 Btu/h Parameter Symbol BER-AR, SBES, AMH (prescriptive) Reference Heat Pump Rated Heating Capacity [kBtu/h] 𝐻𝐶 Actual Use information in TS Heat...
AI summary Table 194 outlines electrical unitary energy savings values for air-source heat pumps under 65,000 Btu/h, including parameters such as heating and cooling seasonal performance factors, full load hours, and energy efficiency ratios. The data is based on the Minnesota TRM and applies to climate zone 4b with an average HDD of 6,956.
220 These full-load hour values are used for MSHPs installed through AMH and for in-unit residential MSHPs installed through BER-AR and SBES. Table 196: Unitary Peak Demand Savings Values for Air-source Heat Pumps Less Than 65,000 Btu/h Pa...
AI summary The document discusses the calculation of unitary peak demand savings values for air-source heat pumps with capacities less than 65,000 Btu/h, including parameters such as heat pump rated heating capacity, coefficient of performance, and peak coincidence factor, and provides a method for calculating peak demand savings.
The electrical unitary energy savings for dual enthalpy economizer controls are calculated using the variables defined and listed in the equation[225](#page-168-2) and [Table](#page-169-0) 202 below. $$\Delta kWh = SF \times Tonnes \times...
AI summary The text discusses the calculation of electrical unitary energy savings for dual enthalpy economizer controls using a specific formula and references a technical manual from Efficiency Vermont. The formula involves variables such as SF, Tonnes, OTF, EER, and Quantity.
Table 204: Electrical Unitary Energy Savings Values for HVAC Hotel Occupancy Sensors Parameter Symbol BER-AR, SBES Reference Unitary Energy Savings [kWh/year] - 438 2025 Massachusetts TRM227 227 Mass Save, Massachusetts Technical Reference...
AI summary Table 204 presents electrical unitary energy savings values for HVAC hotel occupancy sensors, citing a 2025 Massachusetts Technical Reference User Manual (TRM) as the reference. The table lists a unitary energy savings value of 438 kWh/year.
Table 210: Interactive Effects Factors for Water Heating Measures Measure Type of Space Heating Interactive Effects Factors for Energy Savings Interactive Effects Factors for Peak Demand Savings Reference Low-flow Showerheads - 0% 0% Assum...
AI summary Table 210 discusses interactive effects factors for water heating measures, such as pipe insulation and heat pump water heaters, on energy and peak demand savings. It highlights the impact of these measures in different heating scenarios and notes that interactive effects are already included in the savings for heat pump water heaters.
Table 215: Average Showerhead Usage Building Type Annual Minutes per Showerhead (SHtime) Weight Reference Hospitality 3,509 86% Annual minutes per Health 2,528 0% showerhead: Iowa Energy Efficiency TRM – 2021236 Education 2,057 0% Commerci...
AI summary Table 215 provides data on average showerhead usage across different building types, with weighted averages and references. It also mentions a 2025 DSM Measure Assessment, indicating a focus on demand-side management initiatives.
The equations below are used to calculate the annual unitary savings value for faucet aerators. $$DHW \ Savings \ \left[\frac{L}{year}\right] = DHW_{base} \left[\frac{gal}{year}\right] \times \frac{(q_{base} - q_{low})}{q_{base}} \times UC...
AI summary The text provides equations to calculate annual unitary savings for faucet aerators, including parameters such as DHW savings, coefficient of performance, and other factors. Table 217 lists the parameters and resulting savings values.
Table 217: Electrical Unitary Energy Savings Values for Faucet Aerators Parameter Symbol Value Reference Baseline Flow Rate [gpm] qbase 1.39 DeOreo et al. in Residential Low-flow Rate [gpm] qlow 0.94 End Uses of Water Study Update, as cite...
AI summary Table 217 provides electrical unitary energy savings values for faucet aerators, including baseline and low-flow rates, hot water consumption, and energy savings calculations. It references various studies and conventions for data accuracy.
Table 218: Average Hot Water Usage per Faucet Building Type DHW Consumption per Faucet (Gallons) Weight Reference Small Office 2,500 12% Consumption: 2021 Illinois Statewide Restaurant 15,768 6% TRM240 Weight: SBES 2021 tracking sheet Reta...
AI summary Table 218 provides average domestic hot water (DHW) consumption per faucet across various building types in gallons, along with weights and references. It also includes a weighted average of 4,163 gallons per year. The section on installation rates is mentioned but not elaborated.
Table 220: Electrical Unitary Energy Savings Values for Thermostatic Shower Valves Parameter Symbol SBES Reference Flow Rate [gpm] q Variable (1.5 gpm for low-flow showerhead, otherwise: 2.0 gpm, 2.25 gpm, or 2.5 gpm) SBES tracking sheet A...
AI summary Table 220 provides electrical unitary energy savings values for thermostatic shower valves based on various flow rates. It includes parameters such as flow rate, annual shower time, average shower time per person, percentage of hot water use in showers, and energy savings calculations for different flow rates.
Table 221: Pipe Insulation Measure Summary Parameter SBES Reference Measure Description and Identification Measure Added pipe insulation to hot water copper pipes, with direct installation - Baseline No pipe insulation General Parameters I...
AI summary Table 221 provides a summary of the pipe insulation measure, including installation rates, effective useful life, energy savings parameters, and peak demand-to-energy ratios. The table highlights the baseline and measure description, along with references to subsections for detailed calculations.
The following equations are used to determine the annual unitary savings associated with hot water tank wraps. The energy savings are equal to the difference in heat losses associated with tank circumference $(Q_{tank})$ before and after a...
AI summary The text provides equations and assumptions for calculating annual energy savings from hot water tank wraps. It uses formulas for heat transfer in insulated cylinders and assumes small businesses use residential hot water tanks with a capacity of 60 imperial gallons and a thermal resistance of 1.21 m2·°C/W.
Table 226: Electrical Unitary Energy Savings Values for DHW Heat Pump Water Heaters Parameter Symbol Value Reference Commercial Gallons of Hot Water Used per Day per HWHP [gallons/day] 𝐺𝑃𝐷 Actual or based on Table 227 2024 Illinois TRM 253...
AI summary The document provides a detailed table and explanation for calculating electrical unitary energy savings values for domestic hot water heat pump water heaters. It outlines parameters such as heat capacity, energy factors, and COP adjustment factors, referencing various standards and conventions. The calculation of energy savings considers facility type, space heating and cooling factors, and operating times based on weather data.
253 Illinois Commerce Commission, 2024 Illinois Statewide Technical Reference Manual for Energy Efficiency Version 12.0 , Volume 2: Commercial and Industrial Measures, September 22, 2023, p. 214. 254 Ontario Power Authority (OPA), 2011 Pre...
AI summary The text references technical documents from the Illinois Commerce Commission and Ontario Power Authority, and provides a table detailing the proportion of water heating during operation of space heating and cooling systems for various facility types. It includes data on fheat and fcool values for different schedules.
The unitary peak demand savings for DHW heat pump water heaters are calculated using the variables defined and listed in the equation and [Table](#page-190-1) 229 below, as well as variables from [Table](#page-190-0) 228 above. ∆ = ∆ℎ ×
AI summary The text discusses the calculation of unitary peak demand savings for domestic hot water heat pump water heaters, referencing specific tables for variables used in the calculation.
6.5.2 Peak Demand Savings Factors For compressed air measures, the peak demand savings factor is assumed to be 77% where it is unknown for the specific project.
AI summary The document specifies that for compressed air measures, a peak demand savings factor of 77% is assumed when project-specific data is unavailable. This assumption is part of a regulatory proceeding analyzing demand-side management factors in Nova Scotia.
Summary [Table](#page-192-1) 231 presents a summary of the values used to calculate compressed air leak repair savings. The detailed methodology follows.
AI summary Table 231 summarizes the values used to calculate compressed air leak repair savings, with a detailed methodology provided in the following sections.
Table 233: Electrical Unitary Peak Demand Values for Compressed Air Leak Repairs Parameter Symbol Value Reference Peak Coincidence Factor PCF Actual Project Documentation Unitary Peak Demand Savings [kW] 𝑈𝑛𝑖𝑡𝑎𝑟𝑦 𝑆𝑎𝑣𝑖𝑛𝑔𝑠 [𝑘𝑊] Calculated bas...
AI summary Table 233 presents electrical unitary peak demand values for compressed air leak repairs, including parameters such as the peak coincidence factor and unitary savings. The table includes references to project documentation and calculation methods for determining these values.
Table 235: Electrical Unitary Energy Savings Values for Cycling Air Dryers Parameter Symbol BER-AR, SBES Reference Compressor Motor Nominal Horsepower [HP] hpcomp Actual Use information in TS Hours of Use [hours/year] HOU Actual or 1-shift...
AI summary Table 235 provides electrical unitary energy savings values for cycling air dryers. It includes parameters such as compressor motor horsepower, hours of use, average capacity, and chilled coil response time derate, along with references for these values. Unitary peak demand savings are also discussed.
Table 237: Air-entraining Air Nozzle Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Air-entraining air nozzles under 14 CFM at 100 psi - Baseline Hand-held or fixed air nozzles - General Par...
AI summary Table 237 provides a summary of air-entraining air nozzles as a measure, including parameters such as installation rate, effective useful life, and energy savings calculations. The table outlines baseline measures, energy savings parameters, and references to subsections for detailed information.
The electrical unitary energy savings for no-loss drains are calculated using the variables defined and listed in the equation[262](#page-197-1) and [Table](#page-198-0) 241 below. $$\Delta kWh = ALR \times COMP \times OPEN \times AF \time...
AI summary The document provides a formula for calculating electrical unitary energy savings for no-loss drains, referencing an equation and a table. It also cites a source from Efficiency Vermont's Technical Reference User Manual (TRM) from 2015.
Table 246: Electrical Unitary Energy Savings Values for VFD Pumps and Fans Parameter Symbol Value Reference Rated Horsepower of the Motor [HP] HP Varies per project Project documentation Motor Load Factor [%] LF Varies per project (If unkn...
AI summary Table 246 outlines the parameters and calculations used to determine electrical unitary energy savings values for VFD pumps and fans, including factors such as motor load, efficiency, and operating hours, with references to project documentation and the Minnesota TRM.
Table 249: Pool Pump Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® multi-speed and variable frequency drive (VFD) commercial inground pool pumps, rebated after installation - B...
AI summary The table outlines the energy savings parameters for rebated ENERGY STAR® multi-speed and variable frequency drive (VFD) commercial inground pool pumps, comparing them to conventional single-speed pool pumps. It includes details on installation rates, useful life, and energy savings calculations.
Table 250: Solar PV Measure Summary Parameter Custom Retrofit, BER-AR Reference Measure Description and Identification Measure Solar PV systems for commercial, industrial, and agricultural facilities rebated after installation - Baseline F...
AI summary Table 250 outlines the Solar PV Measure Summary, focusing on the installation and energy savings parameters for solar PV systems in commercial, industrial, and agricultural facilities. The table includes details such as installation rates, effective useful life, and energy savings calculations.
The electrical unitary energy savings for cooler night covers and display strip curtains are calculated using the variables defined and listed in the equation and [Table](#page-11-0) 256 below.[271](#page-10-1) ℎ = ( × × × )⁄( × 1,000) × ×...
AI summary The document discusses the calculation of electrical unitary energy savings for cooler night covers and display strip curtains, using an equation and variables outlined in Table 256. The equation is sourced from Efficiency Vermont's Technical Reference User Manual (TRM) under the Refrigeration section.
Table 256: Electrical Unitary Savings Values for Cooler Night Covers and Display Strip Curtains BER-AR R, SBES Parameter Symbol Cooler Night Covers Display Strip Curtains Reference Loss of Cold Air or Heat Gain for Refrigerated Cases with...
AI summary The text presents a table with electrical unitary savings values for Cooler Night Covers and Display Strip Curtains, including parameters such as heat gain, efficiency factors, and usage hours. It outlines how savings are calculated based on these variables and references the Technical Reference Manual (TRM) for data sources.
Table 262: Electrical Unitary Energy Savings Values for Door Heater Controls Parameter Symbol BER-AR, SBES Reference Connected Load of a Typical Reach-in Cooler Door and Frame with Electric Heaters [kW] kWdoor Coolers = 0.066 Freezers = 0....
AI summary This table outlines the electrical unitary energy savings values for door heater controls, including connected load, number of doors controlled, annual energy savings, bonus factors, hours of use, and unitary energy savings. These values are used to calculate peak demand savings for door heater controls.
Summary [Table](#page-16-0) 264 presents a summary of the values used to calculate electrical evaporator fan motor control savings. The detailed methodology follows.
AI summary Table 264 summarizes values used to calculate electrical evaporator fan motor control savings, with a detailed methodology provided afterward.
The electrical unitary energy savings for refrigeration economizer are calculated using the variables defined and listed in the equation and [Table](#page-26-0) 279 below. With fan control installed $$\Delta kWh = (HP \times kWh_{cond}) +...
AI summary The document provides equations for calculating electrical unitary energy savings for refrigeration economizers, both with and without fan control installed, using variables defined in a referenced table and diagram.
The electrical unitary energy savings for refrigerated vending machine controllers are calculated using the variables defined and listed in the equation[290](#page-29-1) and [Table](#page-30-0) 285 below. $$\Delta kWh = kW_{rated} \times H...
AI summary The text outlines the calculation of electrical unitary energy savings for refrigerated vending machine controllers using a specific formula and references a technical manual for estimation methods.
Table 286: Unitary Peak Demand Savings Values for Refrigerated Vending Machine Controllers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 1 As per Subsection 6.9.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calculation based...
AI summary Table 286 outlines unitary peak demand savings values for refrigerated vending machine controllers, including parameters like the peak coincidence factor and unitary peak demand savings. Installation rates are also mentioned, though details are not provided.
Table 288: Energy Efficient Ventilation and Circulation Fan Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Ventilation Fan: BESS or AMCA listed rated High Efficiency Ventilation Fan (Exhaust...
AI summary Table 288 outlines the Energy Efficient Ventilation and Circulation Fan Measure Summary, including details on rebate criteria, energy savings adjustment ratios, and other parameters for the BER-AR and SBES programs. It specifies minimum efficiency requirements for rebated fans and provides calculation methods for energy and peak demand savings.
Table 289: Electrical Unitary Energy Savings Values for Energy Efficient Ventilation and Circulation Fans BER-AR, SBES Parameter Symbol Ventilation Fan Circulation Fan Reference Airflow Produced by Baseline Fan [CFM] AFb Actual or assume s...
AI summary Table 289 provides electrical unitary energy savings values for energy-efficient ventilation and circulation fans, including parameters such as airflow, efficacy ratios, and hours of use. The table references data from the Technical Reference Manual (TRM) and the Independent Electrical System Operator (IESO) Prescriptive Measures and Assumptions List from 2024.
Table 290: Unitary Peak Demand Savings Values for Energy Efficient Ventilation and Circulation Fans Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 0.84 As per Subsection 6.10.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calc...
AI summary This table outlines the unitary peak demand savings values for energy efficient ventilation and circulation fans, including the peak coincidence factor (PCF) and the calculation method for unitary peak demand savings. The data is based on specification data for each rebated unit.
Table 291: Dual and Natural Ventilation Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Both natural and dual ventilation systems that meet the following criteria are eligible, rebated after i...
AI summary This table outlines the eligibility criteria, baseline conditions, and energy savings parameters for natural and dual ventilation systems under the Business Energy Rebates (BER) program. It includes adjustment ratios, effective useful life, and calculation methods for energy and peak demand savings.
Table 292: Electrical Unitary Energy Savings Values for Dual and Natural Ventilation Parameter Symbol BER-AR, SBES Reference Livestock Capacity (number of animals the barn is designed for) LC Actual Use information in TS Airflow Requiremen...
AI summary Table 292 provides electrical unitary energy savings values for dual and natural ventilation systems, including parameters like airflow requirement per livestock, efficiency ratio, savings factor, and hours of use. The table references technical guidelines and calculations for energy savings from reduced fan usage due to humidity sensors.
Table 115 $$\Delta kW = LC \times ARL \times \frac{1}{ER} \times SF \times PCF \times QTY/1,000$$
AI summary The text presents a mathematical formula used to calculate the change in kilowatts (ΔkW) based on several variables, including load capacity (LC), annual recurring load (ARL), energy efficiency ratio (ER), scaling factor (SF), peak demand savings factor (PCF), and quantity (QTY).
Summary [Table](#page-37-0) 294 presents a summary of the values used to calculate zero-energy and low-energy livestock waterer savings. The detailed methodology follows.
AI summary Table 294 summarizes the values used to calculate zero-energy and low-energy livestock waterer savings, with a detailed methodology provided in the document.
Table 294: Zero-energy and Low-energy Livestock Waterer Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Must contain a minimum of 2 inches insulation and an adjustable thermostat and be CSA /...
AI summary Table 294 outlines the parameters for the Zero-energy and Low-energy Livestock Waterer Measure, including requirements for insulation, thermostat, and CSA/cUL ratings, along with energy savings adjustment ratios and other technical details for the BER-AR and SBES measures.
Table 295: Electrical Unitary Energy Savings Values for Zero-energy and Low-energy Livestock Waterers Parameter Symbol BER-AR, SBES Reference Wattage of the Heater in the Old Waterer Pb Actual or 800 Use information in TS Default: IESO Pre...
AI summary Table 295 outlines parameters for calculating electrical unitary energy savings for zero-energy and low-energy livestock waterers, including wattage of heaters in old and new waterers, quantity, hours of use, and unitary energy savings. The table provides default values and references for data collection and calculation methods.
Table 297: Agriculture Heat Pad Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure CSA / cUL rated agricultural heat pad, rebated after installation - Baseline Incandescent heat lamps - General P...
AI summary Table 297 outlines the parameters for the BER-AR and SBES measures related to agricultural heat pads, including baseline technologies, energy savings adjustment ratios, and other technical details. The table references various subsections in the document for further details on calculations and assumptions.
Table 298: Electrical Unitary Energy Savings Values for Agriculture Heat Pads Parameter Symbol BER-AR, SBES Reference Wattage of Inefficient Heat Lamps Pb Actual or 175 Use information in TS Default: IESO Prescriptive Measures and Assumpti...
AI summary Table 298 provides electrical unitary energy savings values for agriculture heat pads, detailing parameters such as wattage, baseline and efficient quantities, hours of use, and energy savings calculations. These values are used to calculate peak demand savings for rebated units.
Table 301: Electrical Unitary Energy Savings Values for Tractor Engine Block Heater Timers Parameter Symbol BER-AR, SBES Reference Power Consumption of Engine Block Heater [W] Pheater Actual Use information in TS Baseline Hours of Use [h/d...
AI summary Table 301 outlines parameters for calculating unitary energy savings from tractor engine block heater timers, including power consumption, baseline and efficient hours of use, and days of use per year. These values are used in conjunction with Table 302 to calculate peak demand savings.
Table 302: Unitary Peak Demand Savings Values for Tractor Engine Block Heater Timers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 0.84 As per Subsection 6.10.2 Unitary Peak Demand Savings [kW] ∆𝑘𝑊 Calculation based o...
AI summary Table 302 provides unitary peak demand savings values for tractor engine block heater timers, focusing on the peak coincidence factor (PCF) and unitary peak demand savings (∆𝑘𝑊) based on specification data for each rebated unit. The table references Subsection 6.10.2 for the peak coincidence factor calculation.
Summary [Table](#page-43-0) 303 presents a summary of the values used to calculate dairy scroll compressor unit savings. The detailed methodology follows.
AI summary Table 303 outlines the values used to calculate dairy scroll compressor unit savings, with a detailed methodology provided in the proceeding document.
Table 303: Dairy Scroll Compressor Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Dairy scroll compressor for milk refrigeration, rebated after installation - Baseline Reciprocating compresso...
AI summary Table 303 provides a summary of the Dairy Scroll Compressor Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life. It outlines the baseline and measure description, along with various technical parameters and references to subsections for detailed calculations.
The electrical unitary energy savings for dairy scroll compressors are calculated using the variables defined and listed in the equation[303](#page-43-1) and [Table](#page-44-0) 304 below. $$\Delta kWh = \frac{\left(\frac{1}{EER_b} - \frac...
AI summary The document provides a formula for calculating electrical unitary energy savings for dairy scroll compressors, referencing an equation and a table. The formula involves variables such as EER (Energy Efficiency Ratio), number of days, number of cows, milk production, and temperature difference.
Table 304: Electrical Unitary Energy Savings Values for Dairy Scroll Compressors Parameter Symbol BER-AR, SBES Reference Efficiency of Existing Compressor at Medium Temperature (Condensing Temp. 90°F, Evaporating Temp. 20°F) [Btu/Wh] 𝐸𝐸𝑅𝑏...
AI summary Table 304 provides electrical unitary energy savings values for dairy scroll compressors, including parameters such as compressor efficiency, milk weight, and temperature changes. It references technical manuals from Iowa and Pennsylvania for default values and calculation methods.
Table 307: Heat Reclaimer Unit Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Heat reclaimer unit that electrically heats water, rebated after installation - Baseline No heat reclaimer - Gene...
AI summary Table 307 provides a summary of the Heat Reclaimer Unit Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life. The table outlines specific values for BER-AR and SBES, with references to subsections in the document for further details.
Table 308: Electrical Unitary Energy Savings Values for Heat Reclaimer Units Parameter Symbol BER-AR, SBES Reference Average Number of Cows Milked per Day COWS Actual Use information in TS Average Amount of Milk Yielded per Cow Annually [L...
AI summary Table 308 presents electrical unitary energy savings values for heat reclaimer units, including parameters such as average milk yield, internal energy of warm and cooled milk, efficiency of heat exchangers and water heaters, and estimated energy savings. The data is sourced from various references, including Agriculture and Agri-Food Canada and Massachusetts Farm Energy.
The electrical unitary energy savings for milk pre-cooler are calculated using the variables defined and listed in the equation and [Table](#page-48-0) 311 below. $$\Delta kWh = COWS \times \frac{MILK}{COW} \times (T_{warm} - T_{cold}) \ti...
AI summary The text explains the calculation of electrical unitary energy savings for milk pre-coolers, using a formula that incorporates variables such as the number of cows, milk per cow, temperature differences, and other factors.
Table 311: Electrical Unitary Energy Savings Values for Milk Pre-Coolers Parameter Symbol BER-AR, SBES Reference Average Number of Cows Milked per Day COWS Actual Use information in TS Average Amount of Milk Yielded per Cow Annually [L/cow...
AI summary Table 311 outlines the parameters and values used to calculate electrical unitary energy savings for milk pre-coolers. It includes details on milk temperature, specific heat capacity, and other factors affecting energy savings. The table references various studies and default values from organizations such as Agriculture and Agri-Food Canada and the Government of Alberta.
Table 319: Commercial Kitchen Gross Savings Adjustment Ratios Source Energy Savings Peak Demand Savings Program Component Evaluation Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error BER-AR 2025 0.951 5.8% 0.514 21.9...
AI summary Table 319 presents the Commercial Kitchen Gross Savings Adjustment Ratios for the Business Energy Rebates (BER) program, including energy savings and peak demand savings with their respective adjustment ratios and margins of error. Section 6.11.4 discusses commercial kitchen measures.
Table 320: Dishwasher Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Low or high temperature ENERGY STAR® rated dishwasher, rebated after installation - Baseline Standard dishwasher - General...
AI summary Table 320 provides a summary of the dishwasher measure under the Business Energy Rebates (BER) program. It outlines parameters such as installation rates, energy savings adjustment ratios, and effective useful life for different dishwasher types. The table references various subsections in the technical reference manuals for detailed calculations.
Table 323: Freezer/Refrigerator Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure ENERGY STAR® rated rebated after installation standalone refrigerator or freezer, - Baseline Standard refrigerat...
AI summary Table 323 provides a summary of energy savings measures for freezer and refrigerator programs, specifically focusing on the Business Energy Rebates (BER-AR) and the Standard Baseline Equipment (SBES). It includes parameters like installation rates, energy savings adjustment ratios, and useful life.
Table 326: Fryer Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® rated fryer, rebated after installation - Baseline Standard electric fryer - General Parameters Installation Rate...
AI summary Table 326 details the Fryer Measure Summary, focusing on the ENERGY STAR® rated fryer rebated after installation. It outlines parameters such as energy savings adjustment ratio, peak demand savings adjustment ratio, and effective useful life, referencing specific subsections for calculations and data.
Table 336: Electrical Unitary Energy Savings Values for Ice Machines Parameter Symbol BER-AR, SBES Reference Annual Days of Operation [days/year] DAYS Actual Measure specific - use information in TS Average Daily Operation [hours/day] HOU...
AI summary Table 336 outlines parameters for calculating electrical unitary energy savings values for ice machines, including operational days, hours, equipment categories, ice type, harvest rate, and energy use. Energy savings are calculated using the ENERGY STAR Commercial Food Services Calculator.
Table 342: Electrical Unitary Savings Values for Steam Cookers Parameter Symbol BER-AR R, SBES Reference Annual Days of Operation [days/year] DAYS Actual Measure specific - use information in TS Average Daily Operation [hours/day] HOU Actu...
AI summary Table 342 outlines the parameters and values used to calculate electrical unitary savings for steam cookers, including factors such as annual days of operation, type of steam, and energy efficiency. The table references the ENERGY STAR Commercial Food Services Calculator for energy savings calculations.
Table 345: Electrical Unitary Energy Savings Values for Demand Controlled Kitchen Exhaust Parameter Symbol BER-AR R, SBES Reference Energy Savings Factor [kWh/hp] ESVG 4,423 2026 Pennsylvania TRM319 Total Horsepower of Motor Controlled (ex...
AI summary Table 345 outlines electrical unitary energy savings values for demand controlled kitchen exhaust systems, including parameters such as energy savings factor, total horsepower of the motor, and unitary energy savings calculations. The table references 2026 Pennsylvania TRM319 and TRM for data and calculation methods.
Table 348: Electrical Unitary Energy Savings Values for Commercial Washing Machines Parameter Symbol BER-AR, SBES Reference Modified Energy Factor of Baseline Equipment [ft3/kWh/load] MEFb Actual or 1.26 Use information in TS Default: Cana...
AI summary Table 348 outlines parameters and values for calculating electrical unitary energy savings for commercial washing machines, including modified energy factors, equipment capacity, number of loads, and quantity of machines. These values are used in conjunction with Table 349 to calculate peak demand savings.
Table 350: Commercial Heat Pump Clothes Dryer Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Commercial heat pump clothes dryer meeting a minimum Combined Energy Factor (CEF) of 4.5, rebated...
AI summary Table 350 outlines the Commercial Heat Pump Clothes Dryer Measure Summary, including details such as the measure description, baseline, installation rate, effective useful life, and energy savings parameters. The measure involves rebating commercial heat pump clothes dryers meeting specific energy efficiency standards.
Table 354: Electrical Unitary Energy Savings Values for Server-based Power Management Software Parameter Symbol BER-AR, SBES Reference Energy Savings Factor for a Desktop Computer [kWh/year] ESFD 356 Based on ENERGY STAR Computer Power Man...
AI summary Table 354 presents electrical unitary energy savings values for server-based power management software, including energy savings factors for desktop and laptop computers, quantities of power-managed devices, and unitary energy savings calculations. The data is based on assumptions from the ENERGY STAR Computer Power Management Savings Calculator and a 2004 Lawrence Berkeley National Lab Report.
Table 360: Electrical Unitary Energy Savings Values for Uninterruptible Power Supply (UPS) Parameter Symbol BER-AR, SBES Reference Energy Use per Rated kVA - 204 CMUA California 2017 TRM UPS Power [kVA] 𝑘𝑉𝐴 Actual Use information in TS Uni...
AI summary Table 360 provides electrical unitary energy savings values for Uninterruptible Power Supply (UPS) systems, including energy use per rated kVA, UPS power in kVA, and unitary energy savings in kWh/year. The table references the CMUA California 2017 TRM and specifies that calculations are based on specification data for each rebated unit.
Table 361: EUL Values for BNI LED Lamps and Fixtures Measure Program Component Average Rated Lifetime (hours) Annual HOU (hours/year) Equipment Life 2025 Equivalent EUL LED Omnidirectional (A-lamp and Globe) SBES 25,000 3,600 6.9 1.0 Four...
AI summary Table 361 presents Effective Useful Life (EUL) values for various BNI LED lamps and fixtures under the SBES and BER-AR programs. The table includes data on average rated lifetime, annual HOU, equipment life, and 2025 equivalent EUL for different LED products.
Table 362: EUL Values for Non-LED Lighting BNI Measures Measure Program Component EUL Value Reference Lighting Controls Occupancy Sensors BER-IR, BER-AR, SBES 10 GDS, 2007 (Table 2 – Commercial & Industrial Measures, value for occupancy se...
AI summary Table 362 presents EUL (Effective Useful Life) values for various non-LED lighting BNI measures under the Business Energy Rebates (BER) and Small Business Energy Solutions (SBES) programs, referencing studies and reports from multiple organizations including KEMA, IESO, and ERS.
KEMA. Focus on Energy Evaluation Business Programs: Measure Life Study. Prepared for PA Consulting Group Inc., August 2009. Measure Program Component EUL Value Reference HVAC Air-source Heat Pumps Greater Than or Equal to 65,000 Btu/hr BER...
AI summary The document presents a measure life study for various energy efficiency programs, including heat pumps and economizer controls, with Effective Useful Life (EUL) values derived from sources such as the California Public Utilities Commission and Natural Resources Canada.
APPENDIX I Detailed Calculations of 2025 Equivalent EUL Values for LED Lamps and Fixtures This appendix presents how the equivalent effective useful life (EUL) of LED lamps and fixtures were established for applicable measures in the BER a...
AI summary This appendix explains how Equivalent Effective Useful Life (EUL) values for LED lamps and fixtures are calculated for BER and SBES programs. It outlines baseline assumptions, noting that LED replacements in general-use categories yield no savings, while early SBES replacements are accepted with a 1-year EUL. The baseline shifts to LED by 2026 for lamps and 2028 for fixtures, impacting EUL calculations for 2025.
Rationale for Using an Equivalent EUL The LED market is evolving rapidly, driven in part by government regulations. LED products installed today are likely to become the baseline before the end of their rated lifetime since LED technologie...
AI summary The document discusses the rationale for using an Equivalent EUL (Effective Useful Life) in LED lighting programs, citing rapid market evolution, regulatory changes (e.g., U.S. and Canadian efficiency standards), and the shift toward LED as the baseline technology. It notes that LED adoption is nearing maturity, necessitating adjustments to baseline assumptions for energy savings calculations.
E-12E1 (NSEB) RIRs 1-66 - Redacted
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1 Series, the Avoided Cost of Energy has increased between updates for the years 2027- 2 2031. 3 4 Capacity Costs have increased over the entire time horizon due to an increase in 5 market costs, between updates, for new resources selected...
AI summary The Avoided Cost of Energy has increased between updates for the years 2027–2031. Capacity Costs have also increased due to market costs for new resources. EfficiencyOne (E1) uses the Integrated Resource Plan (IRP) process for emissions forecasts and engages an independent consultant to evaluate DSM programs annually, incorporating updated emissions data into its planning cycles.
E1 Responses to Nova Scotia Energy Board (NSEB) Information Requests NON-CONFIDENTIAL 1 Request IR-05: 2 3 Evidence – Exhibit E-1, pp.1-71 (pdf pp. 8-78) 4 5 With regards to Section 2.2.2.1 "Compliance with the 2025 BCA Decision": 6 7 (a)...
AI summary E1 has noted that NS Power has not provided long-run marginal emissions rates, despite requests in December 2025 and February 2026. E1 has used emissions information from NS Power's IRP and the 2023–2026 DSM Plan. Questions are raised about discussions since February 2026 and the impact of long-run marginal emissions rates on the 2027–2031 DSM Plan.
E1 Responses to Nova Scotia Energy Board (NSEB) Information Requests NON-CONFIDENTIAL 1 Potential study conducted over the 2027–2031 period. E1 is undertaking a DSM 1 • Integrating multiple data sources, including NS Power data, surveys, 2...
AI summary E1 is conducting a DSM potential study for the 2027–2031 period, integrating data from NS Power, surveys, census information, and jurisdictional scans. E1 has engaged a consultant to complete a 25-year DSM study aligned with the NSIESO's IRP timeline. NS Power provided updated avoided cost data from the 2022 Evergreen IRP to support E1's DSM Plan modelling.
ce and industry practice, serve as reasonable proxies for energy efficiency savings potential. The intent was to move beyond high-level climate screening and incorporate additional screening criteria. The model evaluated jurisdictions acro...
AI summary The text discusses a model used to evaluate energy efficiency savings potential by analyzing factors such as climate, building stock characteristics, energy pricing, and socioeconomic conditions. It highlights the importance of these variables in understanding energy consumption patterns and the effectiveness of efficiency programs.
In order to develop a weighted average savings estimate, the Apex team used the scores developed in the previous exercise that determined how similar each jurisdiction was to Nova Scotia. The weight for each jurisdiction was developed by d...
AI summary The Apex team developed a weighted average savings estimate by using scores that reflect the similarity of each jurisdiction to Nova Scotia. Higher similarity resulted in higher weights, which were then multiplied by the most recent savings estimates from ACEEE or Efficiency Canada.
Table 2 . Savings Estimate from Weighted Jurisdictional Model Approach Jurisdiction Score Savings Weight Weighted Savings New Brunswick 86.85 0.46% 0.114 0.05% Prince Edward Island 82.04 1.11% 0.108 0.12% Maine 72.25 0.86% 0.095 0.08% Newf...
AI summary Table 2 presents savings estimates using a weighted jurisdictional model approach, showing an average annual savings level of approximately 0.90%. The weighting prioritizes jurisdictions comparable to Nova Scotia in program structure, budget scale, and regulatory context. Based on this, a recommended savings range of 0.8%-1.0% was established, considering variability in acquisition costs, program maturity, and affordability conditions.
B. Sector Comparisons With respect to the savings split between Business, Non-Profit, and Institutional (BNI) and Residential sectors, Apex analyzed variations across jurisdictions in terms of savings from each of the sectors. Table 3 show...
AI summary Apex's analysis of energy efficiency savings across jurisdictions highlights that BNI savings are more cost-effective than residential savings. New Brunswick's energy efficiency goals are increasing and are funded through a mix of federal, provincial, and ratepayer sources, with programs ultimately benefiting citizens regardless of funding source.
3. Conclusion After analyzing comparable jurisdictions in North America, as well as E1's historical achievements, market demand, and organizational capability, Apex recommends a net savings target of 0.8%-1.0% of sales for the 2027-2031 Pl...
AI summary Apex recommends a net savings target of 0.8%-1.0% of sales for the 2027-2031 Plan, considering increased costs and affordability. The split between residential and BNI savings is recommended as up to 30%/70%, based on lower BNI acquisition costs. The target balances energy efficiency and affordability needs.
13 DSM Plan Lifetime Benefits Period DSM Plan Lifetime Benefits ($M) 2027–2031 $229.4 2032–2036 $261.2 2037–2041 $121.5 2042–2046 $60.5 2047–2051 $9.1 2052–2056 $0.5 2057–2061 $0.2 Total: 2027–2061 $682.5 1 Request IR-15: 2 3 Evidence – Ex...
AI summary The document discusses the 2027–2061 DSM Plan Lifetime Benefits and includes an information request (IR-15) regarding strategic electrification feedback from DSMAG members and the Enabling Strategies budget allocation. E1 responds by referring to a previous response to NSEB IR-16.
Study of Nova Scotia's Market To tailor the final findings to Nova Scotia's market, efforts were taken to understand the current landscape of energy efficiency programming, from both the perspective of EfficiencyOne and other major stakeho...
AI summary The study of Nova Scotia's market focuses on energy efficiency programming, considering the perspectives of EfficiencyOne and other stakeholders. It includes research on the electricity market, supply and demand forecasts, population and building demographics, and regulatory structures that influence incentive setting for energy efficiency programs.
Table 7: Research Engagement Phase Research and Engagement Phase Technology Research This research is conducted with the goal of understanding the savings opportunity for the technology, and to establish a range for the incentive level. Al...
AI summary This section discusses the Research and Engagement Phase, focusing on technology research to understand savings opportunities and establish incentive levels. It highlights the use of TRMs by various jurisdictions, including Efficiency Maine and Con Ed New York, and outlines the components of a TRM maintained by program administrators.
NOVA SCOTIA'S ELECTRICITY SYSTEM In 2015, Nova Scotia had an annual electricity consumption of 10,400 GWh. The residential sector accounts for 45 percent of consumption, the commercial sector uses about 32 percent, and the industrial secto...
AI summary Nova Scotia's electricity system has seen a 70% increase in retail rates over the past decade due to industrial load reduction, renewable integration, and rising fuel costs. NS Power dominates the electricity infrastructure, while the province aims to reduce coal usage and increase renewable energy by 2020. Key themes include accountability, market competition, stable rates, and innovation.
RESIDENTIAL SECTOR There are more than 390,280 residential households in Nova Scotia. 15 The majority of customers are on flat-billing residential electricity purchase agreements. Only 1,000 customers are on residential time-of-use pricing...
AI summary The residential sector in Nova Scotia consists of over 390,000 households, with most on flat-rate electricity plans. Lighting and heating systems are largely inefficient, with incandescent lamps and fuel oil dominating. There is significant potential for energy efficiency improvements, particularly in heating and lighting. Cooling needs are minimal, and water heaters are mostly electric, offering further efficiency opportunities.
BUSINESS, NOT-FOR PROFIT AND INSTITUTIONAL SECTOR The commercial sector accounts for businesses, not-for-profits and institutional customers. In Nova Scotia, there are 37,679 accounts that are represented by the Small Business Advocate. Th...
AI summary The commercial sector in Nova Scotia includes businesses, not-for-profits, and institutional customers. It is divided into different rate classes, with the majority of accounts represented by the Small Business Advocate. The sector uses a variety of lighting technologies, with fluorescent lighting being dominant, and has significant opportunities for energy efficiency improvements, particularly in lighting controls and space cooling systems.
HISTORICAL RESULTS AND COMPARISON TO OTHER JURISDICTIONS We provide ENSC's historical portfolio savings from 2010-2014 below, along with a unit cost (first year energy savings), scale of relative effort, and a proxy for "residential custom...
AI summary This section presents ENSC's historical portfolio savings from 2010-2014, including unit costs, scale of effort, and a comparison of residential customer motivation to other jurisdictions.
er jurisdictions have applied different approaches for measure level testing, choosing to exclude administration costs as these can vary greatly depending on the maturity of the measure in the market. In conducting cost effectiveness scree...
AI summary The document discusses Nova Scotia's approach to cost effectiveness and avoided costs in energy efficiency programs, noting that ENS uses the EERAM model for long-term planning and that avoided costs are updated every three to four years. Nova Scotia's methodology differs from other jurisdictions, as it sets avoided capacity costs at $0/kW until 2019, affecting how benefits are claimed by measures and projects.
EFFICIENCY NOVA SCOTIA'S PROGRAM PORTFOLIO The following table contains a summary of ENS's current programs, target market and incentive structure. Commercial customers are defined as businesses, not-for-profits and institutional customers.
AI summary This section introduces Efficiency Nova Scotia's (ENSC) program portfolio, targeting commercial customers such as businesses, not-for-profits, and institutional customers. It outlines the current programs, target market, and incentive structures.
Measure Energy Savings Persistence Cost Effectiveness Threshold Custom Project Retrofit Track 10 3.14 Custom Project Retrofit Track 15 4.50 Custom Project Retrofit Track 20 5.69 Table 35: Cost Effectiveness Incentive Level Threshold for Av...
AI summary Table 35 outlines the cost effectiveness incentive level thresholds for average projects in the Custom Project Retrofit Track, showing persistence levels of 10, 15, and 20 with corresponding thresholds of 3.14, 4.50, and 5.69 respectively.
Electricity Market The following entities are the key players in the electricity system in Ontario. - Ontario Government Ministry of Energy - Ontario Energy Board (OEB) - Independent Electricity System Operator (IESO) - 72 Local Distributi...
AI summary The document outlines key players and responsibilities in Ontario's electricity market, including the Ministry of Energy, Ontario Energy Board (OEB), Independent Electricity System Operator (IESO), and Local Distribution Companies (LDCs). The IESO manages conservation efforts, sets savings targets, and oversees program delivery, while the OEB regulates LDCs and reviews rate applications.
Highlights from the results include: Retrofit program delivered 46 percent of portfolio savings Over 9.9 million energy efficient products incentivized through participating retailers Portfolio LUEC: $37/MWh Portfolio TRC: 1.2 Portfolio PA...
AI summary The retrofit program achieved 46% of portfolio savings, with over 9.9 million energy-efficient products incentivized through retailers. Portfolio LUEC is reported at $37/MWh, with Portfolio TRC and PAC at 1.2 and 2.1 respectively.
APPENDIX A-4: CALIFORNIA (PG&E) Program Type Programs Details Energy Studies & Audits Energy assessments are given to determine how to use energy and trim costs. Eligibility is based on energy consumption and system size. The types of stud...
AI summary This section outlines energy studies and audits offered by California (PG&E), including customer site investigations, plant-wide audits, end use assessments, and energy efficiency feasibility studies. Eligibility is based on energy consumption and system size.
Measure Assumptions Document (MAD) What is a MAD: It is the decision of record determining measure cost effectiveness and authorizing use of a measure. The measure is clearly defined along with the conditions under which it is approved. Th...
AI summary The Measure Assumptions Document (MAD) is a formal decision outlining the cost-effectiveness of energy efficiency measures and authorizing their use. It includes sections such as scope, program applicability, description of the measure, cost effectiveness, and requirements. All MADs are approved by Energy Trust engineering staff after analysis by delivery contractors.
Figure 43: Overall Targets 2007 - 20158 Energy Efficiency Savings (GWh) 2007 2008 2009 2010 2011 2012 2013 2014 2015 Statewide Goals 1 New York State 15 x 15 Goals 564 1,471 3,991 7,263 10,631 14,082 17,608 21,222 24,927 NYSERDA SBC III Cu...
AI summary The text presents energy efficiency savings targets and program budgets from 2007 to 2015 in New York, highlighting statewide and jurisdictional goals, as well as program funding for electric and gas initiatives. It includes data on energy efficiency potential studies, such as the Con Edison Energy Efficiency Study 2010 and the Optimal Energy Efficiency Study 2008.
Estimated Energy Savings The Commission approves a series of technical manuals to provide a standard measure-specific approach to estimate the energy and demand savings.
AI summary The Commission approves technical manuals to standardize the approach for estimating energy and demand savings, ensuring consistency and accuracy in measurement.
New York Public Service Commission The New York Public Service Commission regulates and oversees the electric, gas, water and telecommunication industries, as part of the Department of Public Service. In 2015, the Public Service Commission...
AI summary The New York Public Service Commission oversees energy and utility industries and implemented the REV strategy in 2015 to promote energy efficiency, renewable energy, and distributed energy resources. The Commission also reviews and approves NYSERDA's energy conservation program plans and budgets.
VERMONT ENERGY EFFICIENCY PROGRAM INCENTIVE AND COST EFFECTIVENESS POLICY Vermont is viewed as one of the leading jurisdictions for promoting conservation in North America. Vermont Energy Investment Corporation (VEIC) has won multiple awar...
AI summary Vermont's energy efficiency programs are managed by VEIC, which negotiates energy efficiency budgets with the PSB. These budgets are set in three-year cycles and are based on cost-effective energy savings. The 2015-2017 cycle has a savings target of 321,800 MWh and a total resource benefits target of $336.3 million.
2012 2013 2014 2012–2014 Total Energy savings in megawatt- hours (MWh) 110,179 85,582 91,146 286,907 Total Resource Benefits 2 $118,358,445 $83,830,177 $82,101,439 $284,290,061 U.S. tons of carbon dioxide emissions avoided through efficien...
AI summary The document presents energy savings and performance indicators for the period 2012–2014, including energy savings in MWh, total resource benefits, and carbon dioxide emissions avoided through efficiency programs. It also outlines key quantifiable performance indicators (QPIs), such as electric savings, demand reduction, and the ratio of benefits to spending.
MARKET STRUCTURE OVERVIEW The Efficiency Maine Trust Act came in effect in 2009 and is responsible for Efficiency Maine's inception as an independent Trust. Their purpose is to develop, plan, coordinate, and implement energy efficiency/alt...
AI summary The Efficiency Maine Trust Act, effective since 2009, establishes Efficiency Maine as an independent entity responsible for energy efficiency programs. The Trust sets long-term energy savings goals, develops triennial plans, and ensures programs meet cost-effectiveness criteria. Funding comes from ratepayers, the Forward Capacity Market, and utility contracts. Energy efficiency is identified as the lowest-cost energy resource in Maine, with specific cost metrics provided.
Figure 57: 2011-2015 Gas Savings Result [11](#page-109-0) Year Total (MMBtu) 2011 16,115 2012 1,845 2013 12,169 2014 30,839 2015 19,274 Total 80,242 Figure 58: Gross Electricity Savings 12 Program Annual kWh Savings Lifetime kWh Savings Ef...
AI summary The document presents data on gas savings from 2011 to 2015 and electricity savings from various programs in Efficiency Maine. The figures highlight the total energy savings and associated costs and benefits of different initiatives.
Figure 59: Gross Gas Savings [12](#page-110-0) Program Annual MMBtu Savings Lifetime MMBtu Savings Efficiency Maine Costs Participant Cost Lifetime Energy Benefit Cost/MMBTu (Lifetime) Benefit-to- Cost Ratio Business Incentive Program Natu...
AI summary This table presents the gross gas savings and related costs and benefits for various energy efficiency programs in Maine, including business incentives, low-income initiatives, home energy savings, and multifamily efficiency programs. The data includes annual and lifetime savings in MMBtu, program costs, and benefit-to-cost ratios.
Figure 61: Benefit- Cost Ratios: Electric Programs 2015 [12](#page-110-0) Adjusted Gross Benefit-to-Cost-Ratio Net I Benefit-to-Cost-F Ratio Programs TRC PACT Last Evaluation Net to Gross Ratio TRC PACT Business Incentive Program Electric...
AI summary Figure 61 and Figure 62 present benefit-cost ratios for electric and natural gas programs in 2015, including programs such as the Business Incentive Program and Low-Income Direct Install Initiative. These figures highlight the adjusted gross benefit-to-cost ratios and net-to-gross ratios for various programs, providing insights into their cost-effectiveness.
Avoided Costs Periodically, the avoided costs are updated. The last update occurred in 2015, based on a report by Synapse Energy Economics which investigated the avoided energy supply costs for New England. Before any changes are implement...
AI summary The document discusses the updating of avoided costs, last updated in 2015 based on Synapse Energy Economics' report on New England's avoided energy supply costs. These costs are calculated for the entire New England region and divided into geographic areas, with Massachusetts being one. Major categories include avoided capacity costs, avoided energy costs, transmission and distribution costs, and various DRIPE categories.
3.2 CUS-NC_001 CUSTOM – NEW CONSTRUCTION - Custom provides large business, non-profit, and institutional (BNI) participants with technical assistance, - financial incentives, and project financing to help reduce their electricity consumpti...
AI summary The Custom – New Construction program provides technical assistance, financial incentives, and project financing to large businesses, non-profits, and institutions to reduce electricity consumption and peak demand. Eligible projects must meet specific size and energy savings criteria, and EfficiencyOne claims savings based on phased project completion.
3.4.2 KEY SOURCES FOR MEASURE INPUT DEVELOPMENT - The measure characterization has been assumed to be consistent with CUS-IND_001. If there are any - assumed differences in the measure characterization between this measure and CUS-IND_001,...
AI summary This section outlines key sources for measure input development, stating that values such as measure life, net-to-gross ratio, and incremental cost are assumed to be consistent with CUS-IND_001, with details and sources referenced accordingly.
3.5.2 KEY SOURCES FOR MEASURE INPUT DEVELOPMENT - The primary source of the values for measure input development is Table 21[14](#page-74-2) from the 2022 Custom
AI summary The primary source for measure input development is Table 21 from the 2022 Custom document, which provides values used in the process.
- Incentives Evaluation. This table is reproduced below. _ Final Savings for Projects Fully Claimed in 2022 Final Savings for Multiyear Projects Total Number of Projects 22 58 80 Energy Savings Tracked Gross Energy Savings – at the Meter (...
AI summary The document presents a table evaluating incentives based on energy and peak demand savings, including metrics like gross energy savings, adjustment ratios, and effective useful life. It focuses on the evaluation of program outcomes and their impact on energy efficiency.
6 Partial Savings Claimed Final Savings Claimed for Single- Year Projects Total Number of Projects 2 2 4 Energy Savings Tracked Gross Energy Savings – at the Meter (GWh) 1.540 0.297 1.838 Adjustment Ratio for Energy Savings 1.000 1.068 1.0...
AI summary The text presents a table detailing energy and peak demand savings from efficiency projects, including metrics such as gross energy savings, adjustment ratios, line loss factors, and effective useful life. The data is split between partial and final savings for single-year projects.
9 3.7.3 MEASURE LIFE 10 Value: 5.81 Years 22 2024 Custom Incentive Evaluation, Evaluated Gross Savings Table 32: Evaluated 2024 SEM Gross Electrical Energy and Peak Demand Savings, page 67 (PDF 839/1442) - Source: 2023 Custom Incentives Pr...
AI summary This section discusses the Effective Useful Life (EUL) of a measure, calculated as a weighted average of new and continuing projects. It also mentions the Net to Gross Ratio (NTGR) of 1.0 for SEM, and the incremental cost of energy savings, derived from average unit costs of evaluated SEM results from 2022 to 2024.
8 Input Description Total A Total Gross Energy Savings - at the Meter 4.27 B Total Gross Peak Demand Savings - at the Meter 0.51 C = B / A kW savings per 1,000,000 kWh 120.26 9
AI summary The table provides energy savings data, including total gross energy savings, total gross peak demand savings, and the ratio of peak demand savings to energy savings. These metrics are used to evaluate the efficiency of energy-saving initiatives.
- is reproduced below. BER-AR Parameter Retrofit New Construction Reference Measure Description and Identification Measure Description Horticultural after installat lighting rebated tion - Baseline Existing lighting Metal halide HID fixtur...
AI summary This table provides parameters related to the Business Energy Rebates (BER) and Application Rebates (AR) program, including measure descriptions, baseline conditions, installation rates, effective useful life, and energy savings parameters for lighting retrofits and new construction.
3.8.6.1 Energy Savings (kWh) - Value: 2,058.18 - Source: Value is an average or recent tracked evaluated savings for this measure. - Details: In practice, energy savings calculations are based on specification data for each rebated unit. -...
AI summary This section discusses energy savings measured in kilowatt-hours, with a value of 2,058.18 derived from an average or recent evaluation. Energy savings are calculated based on specification data for rebated units, with specific equations and parameters outlined in the 2024-2025 Measure Assessment under the Horticultural Lighting Measure.
3 3.9.2 KEY SOURCES FOR MEASURE INPUT DEVELOPMENT - 4 The primary source of the values for measure input development is recent BER-AR program tracking data - 5 for this measure. 6 - 7 3.9.3 MEASURE LIFE - 8 Value: 18 Years - 9 Source: Assu...
AI summary This section outlines key sources for measure input development, including BER-AR program tracking data, an 18-year effective useful life for residential ductless mini-split heat pumps, a net-to-gross value of 0.83, and incremental costs of $4,324.22 per heat pump. Energy savings and peak demand savings are also provided based on tracked data.
Value: 0.99 2024 DSM Evaluation Reports, 2024-2025 DSM Measure Assessment, Residential, Water Heating Measures, Low-flow Showerheads, page 40 (PDF 1122/1442) 2024-2025 DSM Measure Assessment, Residential, Effective Useful Life, Other Measu...
AI summary The text references 2024 DSM Evaluation Reports and the 2024-2025 DSM Measure Assessment, focusing on residential water heating measures and non-LED lighting measures, including Effective Useful Life (EUL) values and sources.
2 3 Parameter Symbol EP I Reference Single-family Homes Apartments Baseline Flow Rate [gpm] Q base Variable (2.0 gpm, 2.25 gpm, or 2.5 gpm) Variable (2.0 gpm, 2.25 gpm, or 2.5 gpm) Measure specific - use information in TS Low-flow Rate [gp...
AI summary The text presents a table with parameters related to water usage in single-family homes and apartments, including baseline and low-flow rates, number of people per household, shower usage, and water heater efficiency. These parameters are used for energy efficiency evaluations and program design.
4.3.6.1 Energy Savings (kWh) - Value: 143 - Source: Average savings value calculated using recent tracked savings for this measure. - Details: In practice, Electrical unitary energy savings are calculated using the following equation and t...
AI summary This section discusses energy savings calculations for residential measures, using formulas and data from the 2024-2025 Measure Assessment and the EfficiencyOne 2027-2031 DSM Plan. It includes equations for calculating energy savings for fans and heating systems.
4.4.6.1 Energy Savings (kWh) - Value: 479.0 - Source: This is the deemed unitary energy savings value for the Smart Thermostat for Electrical Heating - Systems Measure in the 2025 Measure Assessment. - Details: Some models of smart thermos...
AI summary The document provides a deemed unitary energy savings value of 479.0 kWh for smart thermostats used in electrical heating systems. The calculation method and assumptions are based on studies of smart thermostats in central heating systems, with an estimated 12% savings for similar systems.
4.7.6.1 Energy Savings (kWh) Value: 128.92 Source: Value based on actual tracked savings from 2024. Details: In practice, the electrical unitary energy savings are calculated using the equations below. 2024 Existing Residential Evaluation,...
AI summary The energy savings (kWh) for 2024 are calculated based on tracked data, incorporating formulas for sealing and insulation. The calculations use values from Connecticut and Iowa, adjusted for Nova Scotia's heating degree days and resistance values.
- wall insulation, used to account for overclaiming savings due to prescriptive engineering algorithms. Parameter Symbol Value for Electrical Resistance Heated Homes Value for Heat Pump Heated Homes Number of Windows Insulated Nwindow 2 As...
AI summary The text discusses parameters related to energy savings from wall insulation and window sealing in both electric resistance heated homes and heat pump heated homes, including adjustments for overclaiming savings due to prescriptive engineering algorithms.
4.8.2 KEY SOURCES FOR MEASURE INPUT DEVELOPMENT - See sections below. - 4.8.3 MEASURE LIFE - Value: 20.5 Years
AI summary This section outlines the key sources for measure input development and specifies the measure life as 20.5 years, indicating the expected lifespan of the measures used in energy efficiency programs.
4.8.6.1 Energy Savings (kWh) Value: 1033 - Source: Per E1 program tracking and Adjustment Ratios (AR) found in 2024 Existing Residential Evaluation - Report (Tables 16, Table 54, and Table 71). The 1,033 kWh value was derived from adjusted...
AI summary The energy savings of 1,033 kWh were calculated using HOT2000 simulation results, billing analysis, and adjustment ratios from the E1 program. The savings were derived from 2025 residential projects with electric heating and no space-heating upgrades. The methodology involves comparing electrical consumption levels before and after energy efficiency measures, adjusted with overestimation and adjustment ratios.
Source: This value was drawn from Table 53[56](#page-127-1) of the 2024 Residential DSM Measure Assessment. Parameter Green He eat, ASFH HEA MHEEP Reference Measure Description and Ide ntification ' 1.11 Measure Mini-split heat pumps for h...
AI summary This table from the 2024 Residential DSM Measure Assessment outlines parameters for various residential energy efficiency measures, including mini-split heat pumps, with details on installation rates, energy savings, and peak demand savings. The table also references subsections for further information.
Where: - and correspond to the modelled electrical energy consumption levels respectively obtained in HOT2000 during the D and E assessments. - (ℎ) correspond to the unitary savings value established for heat pump water heaters (HPWHs). -...
AI summary The text discusses the methodology used to calculate electrical energy savings after home energy assessments. It involves using HOT2000 simulation software to model homes and determine energy consumption levels, which are then adjusted using an overestimation ratio to calculate savings from prescriptive measures.
4.10.6.1 Energy Savings (kWh) - Value: 2,576 - Source: Per E1 program tracking and Adjustment Ratios (AR) found in 2024 Existing Residential Evaluation - Report (Tables 16, Table 54, and Table 71). The 2,576 kWh value was derived from adju...
AI summary The energy savings value of 2,576 kWh was calculated from 2025 projects in electrically heated homes without space-heating upgrades, using HOT2000 simulations adjusted with billing analysis and prescriptive measure savings values.
3 4.14.3 MEASURE LIFE 4 Value: 10 Years 5 Source: This value was drawn from Table 72 of the 2025 DSM Measure Assessment, shown above. 6 - 4.14.4 NET TO GROSS - Value: 1.0 - Source: This value was drawn from Table 32 of the 2024 Existing Re...
AI summary The document discusses the 10-year life value of a measure, energy savings calculations for smart thermostats in electrical heating systems, and the methodology used to determine heating consumption savings based on thermostat types. The savings calculation uses a formula and references the 2025 Illinois TRM for the 10.2% heating consumption savings value.
4.14.6.2 Coincident Peak Demand Savings (kW) Value: 0.000 Source: This is the deemed unitary peak demand savings value for the Smart Thermostat for Electrical - Heating Systems Measure[67](#page-151-1) in the 2025 Measure Assessment. - Det...
AI summary The deemed unitary peak demand savings value for the Smart Thermostat for Electrical Heating Systems Measure is 0.000, based on the 2025 Measure Assessment. This value is derived from a peak demand-to-energy ratio assumption from literature review findings.
18 Evaluated 2024 Instant Cavinas Not Engrave and Dook I Damand ( Caudana (Continued) Effective Useful Life [years] 10 See Subsection 3.2 Electrical Savings Paramet ters Unitary Energy Savings [kWh/year] 265 479 265 1,725 959 479 205 455 S...
AI summary The text presents a table with various parameters related to energy savings and demand, including effective useful life, unitary energy savings, peak demand-to-energy ratio, and interactive effects factors. These metrics are used to evaluate the performance of energy efficiency measures.
3 4.15.3 MEASURE LIFE 4 Value: 10 Years 5 Source: This value was drawn from Table 72 of the 2025 DSM Measure Assessment, shown above. 6 - 4.15.4 NET TO GROSS - Value: 1.0 - Source: This value was drawn from Table 32 of the 2024 Existing Re...
AI summary The document discusses the 'Measure Life' for a DSM program, with a value of 10 years, sourced from Table 72 of the 2025 DSM Measure Assessment. It also outlines energy savings calculations for smart thermostats used in electrical heating systems, referencing the 2025 Illinois TRM for a 10.2% heating consumption savings estimate.
E1 Responses to Nova Scotia Energy Board (NSEB) Information Requests NON-CONFIDENTIAL 1 • Custom New Construction: adjustments to baselines to reflect anticipated adoption of 2 more stringent building code requirements throughout the Plan...
AI summary The document discusses adjustments to baselines for custom new construction in response to anticipated adoption of more stringent building code requirements, specifically referencing the National Energy Code of Canada for Buildings tiers, which may reduce incremental savings over time.
Long-term vision: Recognize all known electricity system benefits when evaluating potential projects Establish unknown system benefits, e.g. avoided costs for ancillary services Delivery of multiple forms of electricity DSM by E1
AI summary The long-term vision includes recognizing all known electricity system benefits, establishing unknown system benefits such as avoided costs for ancillary services, and delivering multiple forms of electricity demand-side management (DSM) by E1 (Nova Scotia Power).
3.4 Innovation Pilots Overview No. Technology Description 2025 Action Short-term Deliverables (1-3 years) Medium-term Deliverables (3-5 years) Long-term Deliverables (5+ years) Sector(s) Category / Categories 8 Commercial interact with the...
AI summary This section outlines an innovation pilot for commercial buildings aimed at optimizing energy use through interaction with the grid using smart building technologies. The initiative focuses on evaluating energy savings and grid impact as short-term deliverables, with no specific medium or long-term goals outlined in the provided text.