E-22024 DSM Programs Evaluation Reports
190 passages
Table 5: Comparison of 2024 Evaluated and Tracked Energy Savings at the Generator a Tracked Results Evaluated Results Program Component Annual Gross Savings (GWh) Annual Net Savings (GWh) Annual Gross Savings (GWh) NTGR b Annual Net Saving...
AI summary Table 5 compares the 2024 evaluated and tracked energy savings for various programs in Nova Scotia. It highlights discrepancies between gross and net savings, as well as differences in net savings and net realization rates for each program component, including Appliance Retirement, Instant Savings, Affordable Multifamily Housing, and others.
Table 6: Comparison of 2024 Evaluated and Tracked Peak Demand Savings at the Generator a Program Component Tracked Results Evaluated Results Difference DSM Program Annual Gross Savings (MW) Annual Net Savings (MW) Available Capacity (MW) A...
AI summary Table 6 compares the evaluated and tracked peak demand savings at the generator for various programs in 2024. It shows results for residential, BNI, and demand response programs, highlighting differences in net savings and available capacity, along with net realization rates for each component.
Table 9: 2024 Evaluated GHG Emission Reductions DSM Program Program Component Gross Annual Avoided GHG Emissions in CO2 eq Tonnes Net Annual Avoided GHG Emissions in CO2 eq Tonnes Residential Efficient Appliance Retirement 1,981 1,117 Prod...
AI summary Table 9 presents evaluated greenhouse gas (GHG) emission reductions for 2024 under various demand-side management (DSM) programs in Nova Scotia. The table includes both gross and net annual avoided emissions in CO2 equivalent tonnes for different program components, such as appliance retirement, product rebates, and energy assessments.
Table 11: 2024 Planned Net Savings and Evaluated Results Planned Savings Evaluated Results Variance Program Component and DSM Program Net Energy Savings (GWh) Net Peak Demand Savings (MW) Available DR Capacity (MW) Net Energy Savings (GWh)...
AI summary Table 11 outlines the 2024 planned net savings and evaluated results for various energy efficiency and demand response programs in Nova Scotia. It shows the performance of residential and BNI programs, highlighting variances between planned and evaluated outcomes, such as energy savings and demand reductions.
The E1 DSM portfolio of program components achieved 172.760 GWh in total net electrical energy savings at the generator and 30.688 MW in total net peak demand savings at the generator, representing 21% higher savings than planned electrica...
AI summary E1's DSM programs achieved significant energy and peak demand savings in 2024, with residential and BNI programs exceeding their targets. Residential programs exceeded planned energy savings by 28%, while BNI programs exceeded planned energy savings by 16%. Some components narrowly missed targets, but overall performance was strong.
Table 12: Evaluated Net Electrical Energy Savings at the Generator, 2020-2024 Energy Savings (GWh) Energy Savings (%) DSM Program Program Component 2020 2021 2022 2023 2024 2020 2021 2022 2023 2024 Residential Residential Appliance Retirem...
AI summary Table 12 presents evaluated net electrical energy savings from various DSM programs in Nova Scotia from 2020 to 2024, highlighting contributions from residential, BNI, and overall portfolio programs, with significant energy savings percentages and GWh values reported for each category and year.
Table 13: Evaluated Net Peak Demand Savings at the Generator, 2020-2024 Peak Demand Savings (MW) Peak Demand Savings (%) DSM Program a Program Component 2020 2021 2022 2023 2024 2020 2021 2022 2023 2024 Residential Residential Efficient Ap...
AI summary Table 13 presents evaluated net peak demand savings from various Demand Side Management (DSM) programs in Nova Scotia from 2020 to 2024. It details savings by program type, including residential and BNI programs, and provides both megawatt (MW) and percentage savings for each year.
Table 15: 2024 Recommendations on Residential Program Components No. Recommendation BER – R4 The current non-LED baseline for lamps should be maintained for BER-IR and reassessed in 2026. Given trends, E1 should plan for a baseline change...
AI summary The table outlines 2024 recommendations for residential program components, focusing on lighting retrofits, baseline adjustments, and improvements in program tracking and modeling accuracy. Key points include maintaining non-LED baselines, transitioning product offers, and ensuring consistent modeling approaches.
Program Components Bibliographic References NREL, The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures. Chapter 7: Refrigerator Recycling Evaluation Protocol, prepared by the Cadmus Group, Se...
AI summary The document contains a table listing program components and their corresponding bibliographic references, including citations to studies, reports, and regulatory matters related to energy efficiency and emissions in Nova Scotia. Key references include studies by the National Renewable Energy Laboratory and regulatory filings from the Nova Scotia Utility and Review Board.
Participa ation Level Gross Savings NTGR Net S avings Value Unit Value Unit Value Value Unit ARet Energy Savings 5,941 Appliances 4.195 GWh 0.56 2.365 GWh Lifetime Energy Savings 16.729 GWh 0.56 9.433 GWh Peak Demand Savings 0.598 MW 0.56...
AI summary The Residential Efficient Product Rebates program exceeded its 2024 energy savings and peak demand savings targets by 70% and 41%, respectively, with Instant Savings being the primary contributor. The program achieved significant reductions in GHG emissions and energy consumption.
Program Tracked and Evaluated Savings [Table](#page-85-0) 3 below compares E1 tracked energy and peak demand savings to Evaluated savings at the generator. The realization rate and NTGR are also presented and correspond to the rounded aver...
AI summary The table compares E1 tracked energy and peak demand savings to evaluated savings at the generator, showing realization rates and NTGR values, which are calculated as the ratio of net savings to gross savings.
Table 4: Types of Evaluation Conducted for Each Program Component, 2024 2024 Program Program Component Process Market Impact Residential Efficient Product Rebates ARet Condensed Instant Savings Comprehensive For each program, the Evaluator...
AI summary Table 4 outlines the types of evaluation conducted for each program component in 2024, specifically for the Residential Efficient Product Rebates program. The Evaluator prepared a DSM evaluation report detailing findings, energy savings, peak demand savings, and GHG emissions avoidance.
Table 9: Evaluated 2024 ARet Gross Energy and Peak Demand Savings Measure Category Appliance Retirement Refrigerators Freezers Room Air Conditioners Small Refrigerators Small Freezers Total Number of Units Retired or Replaced 3,763 1,756 2...
AI summary Table 9 presents evaluated 2024 ARet Gross Energy and Peak Demand Savings from appliance retirement programs. Refrigerator and freezer retirements contributed significantly to energy and peak demand savings, with refrigerator retirements accounting for 65% of first-year electrical energy savings.
Table 17: Number of Rebated Products Sold Through Instant Savings, 2023–2024 Product Category 2023 2024 Variation ENERGY STAR Certified Non-A-type LED Lamps 78,438 78,539 0.1% ENERGY STAR Certified LED Fixtures a 88,337 268,740 204% Contro...
AI summary Table 17 shows the number of rebated products sold through the Instant Savings program in 2023 and 2024, with significant growth in LED fixtures and a decline in appliance sales.
Table 23: Evaluated 2024 Instant Savings Gross Electrical Energy and Peak Demand Savings LED Non-A-type LED Lamps Recessed Downlight ENERGY STAR LED Fixtures Dimmer Indoor Outdoor Product Category R, BR, and Decorative Others Fixtures With...
AI summary Table 23 presents evaluated 2024 instant savings for various electrical energy and peak demand savings across different product categories and installation types, including LED lamps, energy-efficient fixtures, and motion sensors. The data includes energy savings, installation rates, and lifetime energy savings.
Evaluated 2024 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 presents a detailed analysis of the 2024 Instant Savings program, highlighting gross electrical energy and peak demand savings across various product categories. It includes metrics such as energy savings, installation rates, effective useful life, and peak demand savings, providing a comprehensive overview of the program's impact.
Table 32: Evaluated 2024 Instant Savings Net Energy and Peak Demand Savings LED Non-A-ty /pe Lamps LED Recessed LED ENI ERGY STAR Fixture es . Dimmer Indoor Outdoor Motion Sensors Net Peak Demand Savings – at the Generator (MW) 0.157 0.090...
AI summary Table 32 presents evaluated 2024 Instant Savings Net Energy and Peak Demand Savings for various products and measures, including LED lamps, thermostats, and energy-efficient appliances. It details gross and net energy savings, net-to-gross ratios, and lifetime energy savings at the generator level.
Evaluated 2024 Instant Savings Net 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 Bathroom & Uti...
AI summary The 2024 Instant Savings program exceeded its energy and peak demand savings targets by 77% and 45%, respectively. The table provides detailed energy and peak demand savings across various product categories, including gross and net savings at the meter and generator, as well as effective useful life and lifetime energy savings.
Particip ation Level Gross Savings NTGR Net S Savings Value Unit Value Unit Value Value Unit ARet Energy Savings 4.195 GWh 0.56 2.365 GWh Lifetime Energy Savings 16.729 GWh 0.56 9.433 GWh Peak Demand Savings 5,941 Appliances 0.598 MW 0.56...
AI summary The Residential Efficient Product Rebates program exceeded its 2024 energy and peak demand savings targets by 70% and 41%, respectively, primarily due to the contribution of Instant Savings. The program achieved 24.617 GWh in net electrical energy savings and 2.765 MW in net peak demand savings.
Table 2: ME Algorithm - LED bulbs Total Non-A Type Sales G10. [IF G4 = 1 AND G9 = 3,4] You bought [LED fixtures] LED fixtures, how many of these fixtures do you expect to install in the next year? IF G10 = 1, G9 1. All or nearly all IF G10...
AI summary Table 2 outlines the ME Algorithm for LED bulbs, including questions about installation expectations, inconsistency tests, and free-ridership calculations. It also considers the influence of ENS programs and promotional materials on purchasing decisions.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. 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...
AI summary The text defines key terms related to energy efficiency and demand response, including accuracy, adjustment ratio, available demand response capacity, and baseline. It also references an annual energy efficiency budget and payback period in section 3.6.
Table 2: Overall 2024 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit AMH Energy Savings 83 Projects 1.159 GWh 1.00 1.159 GWh Lifetime Energ...
AI summary Table 2 presents the 2024 participation levels and evaluated savings for various residential programs, including energy savings, peak demand savings, GHG emission reductions, and energy efficiency measures. The data includes metrics like gross and net savings, as well as program-specific participation numbers.
3.6 Annual Energy Efficiency Budget and Payback Period
AI summary The section discusses the annual energy efficiency budget and payback period, though no specific details are provided in the given text.
Budget Half (5/10) of interviewed AMH participants specified a numeric answer in terms of their budget for building maintenance and efficiency upgrades . The remaining five participants indicated they either did not know or did not have a...
AI summary Half of AMH participants reported annual budgets for building maintenance and efficiency upgrades ranging from $500-$300,000 (average $3,625/year after removing an outlier). Non-participants and dropped-out participants typically lacked formal budgets, relying on ad hoc repairs. Non-profit organizations and smaller buildings were more likely to lack structured budgets.
4.2.4 Effective Useful Life Using the EUL values presented in the 2024-2025 DSM MA and the proportion of savings for measures implemented through AMH in 2024, the Evaluator revised the EUL values for comprehensive projects. For prescriptiv...
AI summary The Evaluator revised Effective Useful Life (EUL) values for comprehensive projects using data from the 2024-2025 DSM MA and savings proportions from AMH in 2024. The weighted average EUL for comprehensive projects increased from 17.7 years in 2023 to 20.5 years in 2024.
2024 AMH-Finding: Costs and lack of budget are barriers to participation. Financial barriers constitute the main reasons most interviewed dropped-out participants withdrew from the program component. The majority had no budget available fo...
AI summary Financial barriers and lack of budget are primary reasons for withdrawal from the AMH program, with participants citing insufficient funds for maintenance and efficiency upgrades. Half of dropped-out participants also faced low rental rates in operating agreements. Co-funding and low-interest financing are recommended as critical support tools.
Non-modelled Energy Savings Smart thermostats and replaced appliances are not modelled in HOT2000. Instead, energy savings are calculated based on unitary energy savings values from the 2024-2025 DSM MA, which provides a detailed descripti...
AI summary Non-modelled energy savings from smart thermostats and replaced appliances are calculated using unitary energy savings values from the 2024-2025 DSM MA. Heat pump energy savings are calculated using the Green Heat approach. Table 17 summarizes updated unitary energy savings values for measures changed in 2024.
Table 20: Evaluated 2024 ASFH Modelled Measure Gross Energy and Peak Demand Savings Total Energy Savings Gross Energy Savings Without Adjustment Ratio (AR) – at the Meter (GWh) 4.484 Gross Energy Savings with AR – at the Meter (GWh) 3.111...
AI summary Table 20 and Table 21 present energy and peak demand savings from the 2024 Affordable Single-Family Housing (ASFH) program. The tables include modeled and non-modeled measures, with energy savings calculated using line loss factors provided by NS Power. The data highlights the impact of various efficiency measures on energy and peak demand, including heat pumps and appliance replacements.
Table 30: 2024 EPI Equivalent EUL and Gross Lifetime Unitary Savings Values Product Tracked Evaluated Equivalent EUL Equivalent EUL [years] [years] Evaluated Gross Lifetime Unitary Savings [kWh] LED A19 Lamps 9 W Replacing 25 W 2.0 1.0 15....
AI summary Table 30 presents data on the Equivalent Useful Life (EUL) and Gross Lifetime Unitary Savings for various energy-efficient products under the Efficient Product Installation (EPI) program in 2024. The table includes LED lamps, motion sensors, thermostats, and other lighting products, providing insights into their energy savings and longevity.
14.2.7 Evaluated Gross Savings [Table](#page-93-0) 31 an[d Table](#page-101-0) 32 below present the annual gross savings results per product category and dwelling for the main EPI offering, including the smart thermostat for electric baseb...
AI summary The document presents annual gross savings results for the main EPI offering, including the smart thermostat for electric baseboard pilot measure. Total gross energy and peak demand savings are reported, along with the weighted average EUL value for gross electrical energy savings. Line loss factors used in the estimation are referenced from a 2014 study submitted to the NSUARB.
Table 31: Evaluated 2024 EPI Gross Electrical Energy and Peak Demand Savings per Measure - Single-family Homes LED Lamps Product Category 9 W Replacing 25 W 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units 1,293 364 16,...
AI summary This table evaluates the energy and peak demand savings from the Efficient Product Installation (EPI) program in single-family homes in 2024. It details the number of units installed, energy savings, and peak demand reductions for various LED lamp wattages.
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 Chandelier Replacing 40 W Number of Units Number of Units 11,093 720 3,430 3,399 11,146 Installation Rate (%) 94% 94% 9...
AI summary The document provides a detailed table outlining the energy savings and performance metrics for various LED lamp products installed in different categories. It includes data on the number of units, installation rates, energy savings, and factors affecting these savings such as interactive effects and line loss.
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 1,217 9 85 661...
AI summary The table presents data on the installation and energy savings of various energy efficiency products, including air sealing products and electric resistance heating measures. It includes metrics such as the number of units installed, energy savings, and peak demand savings, along with factors like line loss and effective useful life.
А ir Sealing Pr oducts – Heat Pump Heatir ng Total for Product Category Foam Gaskets (per pack of 10) Door Sweeps Window Air Sealing (per 15ft) Window Film Kits Door Weather Stripping (per 17 ft) Total for Single-family Homes Number of Uni...
AI summary The table presents data on energy savings and installation rates for various energy efficiency products in single-family homes, including foam gaskets, door sweeps, window air sealing, window film kits, and door weather stripping. It includes metrics such as unitary savings value, gross energy savings, effective useful life, and peak demand savings.
Table 32: Evaluated 2024 EPI Gross Electrical Energy and Peak Demand Savings per Measure – Apartments LED Lamps Product Category 9 W Replacing 25 W 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units 39 13 493 16 2,799 2 5...
AI summary Table 32 evaluates the 2024 EPI Gross Electrical Energy and Peak Demand Savings per Measure in apartments, focusing on LED lamps replacing various wattage bulbs. It includes metrics like energy savings, interactive effects factors, and peak demand savings, with data on installation rates and effective useful life.
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 140 - 10 75 13...
AI summary The table presents data on energy savings from various air sealing and electric resistance heating products, including installation rates, unitary savings values, and gross energy and peak demand savings at both the meter and generator levels. It also includes factors such as line loss and effective useful life for each product category.
Air Sealing Products - Heat I Pump Heating g 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 text presents a table summarizing the installation and energy savings of various energy efficiency products in apartments, including air sealing, heat pumps, and weather stripping. It details metrics such as installation rates, energy savings, and effective useful life for each product category.
The detailed results per measure are presented in [Table](#page-115-0) 38 below. The net energy savings resulted in 4,225 tonnes of CO2 eq in net annual GHG emission reductions. Table 38: Evaluated 2024 EPI Net Electrical Energy and Peak D...
AI summary The document presents detailed results of energy savings from LED lamp replacements under the 2024 EPI program. It highlights net annual GHG emission reductions of 4,225 tonnes of CO2 eq and provides data on energy and peak demand savings across various product categories and wattages.
Evaluated 2024 EPI Net Electrical Energy and Peak Demand Savings per Measure (Continued) LED Lamps Product Category Solar Security Fixtures Indoor Motion Sensors Outdoor Motion Sensors Dimmer Switches Humidity Sensors Smart Power Controlle...
AI summary The document presents a continuation of the evaluated 2024 EPI net electrical energy and peak demand savings per measure, including data on various products such as LED lamps, solar security fixtures, motion sensors, and smart power controllers. It details gross and net energy savings, NTGR, line loss factors, and effective useful life for each product category.
Table 40: 2024 Green Heat Incentives Measure Incentive Heat Pumps Ductless Mini-split Heat Pumps $300/refrigeration tonne Centrally Ducted Air-source Heat Pumps $500/refrigeration tonne Air-to-water Heat Pumps $2,000/refrigeration tonne Gr...
AI summary Table 40 outlines the 2024 Green Heat Incentives, which include rebates for various heating measures such as heat pumps, biomass, solar thermal, and demand reduction. The program has been funded by the federal Low Carbon Economy Fund and provincial Green Fund since 2018. The report evaluates electrical savings from these measures, excluding those that displace non-electrical energy consumption.
19.2.6 Evaluated Gross Savings The annual gross savings for each category of measure installed through Green Heat in 2024 are listed in [Table](#page-138-0) 46 below. The gross savings at the generator were estimated by using a line loss f...
AI summary The document discusses the evaluation of annual gross savings for measures installed through Green Heat in 2024. Line loss factors associated with each participant's rate code were used to estimate gross savings at the generator, referencing a 2014 Cost of Service Study Progress Update submitted to the Nova Scotia Utility and Review Board.
20 Green Heat Key Findings and Recommendations As mentioned previously, the main objectives of the 2024 Green Heat evaluation were as follows: › Calculate gross and net results, namely electrical first-year and lifetime energy savings, pea...
AI summary The 2024 Green Heat program achieved only 24% and 55% of its electrical energy and peak demand savings targets, respectively. Net savings were 0.872 GWh and 1.529 MW, below planned 3.600 GWh and 2.775 MW. Low participation and poor realization rates from billing analyses were primary causes.
Table 52: Implementation Status of Past Recommendations for HEA # Past Recommendations Status Comments 2018 HEA-R1 Conduct a billing analysis to review overestimation ratios (ORs) when a sufficient participant sample becomes available. Com...
AI summary Table 52 outlines the implementation status of past recommendations related to the Home Energy Assessment (HEA). A billing analysis was planned for 2022 to reassess overestimation ratios (ORs), but was deferred due to insufficient data. In 2023, a new billing analysis approach was tested, leading to the replacement of ORs with adjustment ratios (ARs) for future evaluations.
22 HEA Evaluation Approach The 2024 HEA evaluation comprised a comprehensive impact evaluation. The main objectives of the 2024 HEA evaluation were to: › Calculate gross and net results, namely electrical first-year and lifetime energy sav...
AI summary The 2024 HEA evaluation aimed to calculate gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The evaluation involved research questions, methods, and sample sizes outlined in Table 53.
Table 53: 2024 HEA Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Which participants did not add an extension as p...
AI summary Table 53 outlines the evaluation approach for the 2024 Home Energy Assessment (HEA) program, focusing on calculating gross and net results through methods like tracking sheet audits, billing analysis, and surveys. Key considerations include data accuracy, adjustment ratios, and energy savings calculations.
Measures Modelled in HOT2000 After the D and E home energy assessments, EAs model the house in the HOT2000 energy simulation software to obtain the initial and final EnerGuide ratings of the given house. Energy consumption levels obtained...
AI summary The document outlines the methodology used in HOT2000 for modeling energy savings from home energy assessments. It describes the use of adjustment ratios derived from billing analyses to improve the accuracy of savings calculations, ensuring that only savings attributable to the program are captured. The analysis excludes participants who installed non-modelled measures like wood burning equipment or solar PV.
Table 65: 2024 HEA Unconverted D Assessment Spillover Savings Parameters Tracked Values Evaluated Values Total Number of Unconverted D Assessment Participants 1,868 Ratio of Unconverted D Assessment Participants Who Implemented at Least On...
AI summary Table 65 outlines the 2024 HEA Unconverted D Assessment Spillover Savings, showing data on participants who implemented energy efficiency measures and the associated energy and peak demand savings. The table includes metrics such as participant numbers, savings in kWh and GWh, and the demand-to-energy ratio. Savings attributed to previous unconverted D assessment participants are reversed to prevent double counting.
Net savings are defined as the energy use reductions specifically attributable to HEA. Net savings were calculated by applying the NTGR value, adding unconverted D assessment spillover savings, and subtracting Green Heat and EPI savings, a...
AI summary Net savings are calculated using the NTGR value, spillover savings, and deductions for Green Heat and EPI. This resulted in 15,093 tonnes of CO2 eq in annual GHG emission reductions.
Table 70: 2024 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 savings for heating and building...
AI summary The document outlines the evaluation approach for the 2024 MHEEP (Mi'kmaw Home Energy Efficiency Project), focusing on calculating gross and net results through data audits, unitary savings reviews, effective useful life updates, 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 outlines the methodology used in HOT2000 energy simulations to model energy savings from efficiency measures. It discusses the use of adjustment ratios (ARs) derived from billing analyses, which are applied to modelled savings estimates based on whole-home consumption, replacing the previous overestimation ratio (OR) methodology focused on space heating.
Non-modelled Measures Replaced appliances as well as programmable and smart thermostats are not modelled in HOT2000. Instead, resulting energy savings are calculated based on unitary energy savings values from the 2024-2025 DSM MA. That do...
AI summary Non-modelled measures such as replaced appliances and thermostats are not included in HOT2000. Energy savings for these measures are calculated using unitary values from the 2024-2025 DSM MA. For HPWHs and DWHRs, savings are adjusted using an AR before being added as prescriptive measures. This approach accounts for low installation rates and supports future savings tracking.
Table 81: 2024 Residential Behaviour Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate net results › What are the evaluated first-year net electrical energy savings? › Are the participation levels in other...
AI summary Table 81 outlines the 2024 Residential Behaviour Evaluation Approach, focusing on calculating net results through billing analysis, participation analysis in other E1 programs, and GHG emission reduction calculations.
Table 1: 2024 AMH Corrected Tracked Savings Value Tracked by E1 Corrected Tracked Value Relative Difference Program Component Results Value Unit Value Unit Value AMH Gross Electrical Energy Savings at the Generator 1.132 GWh 1.158 GWh 2.30...
AI summary Table 1 shows the 2024 AMH Corrected Tracked Savings, highlighting differences between tracked and corrected values due to an incorrect line loss factor used by E1 for residential participants. The relative difference in gross electrical energy savings is 2.30%, while peak demand savings remain unchanged.
F. Annual Energy Efficiency and Budget - F1. Moving on to a different topic, what is your annual budget for building maintenance and efficiency upgrades? - 1. Specify $______________ - 98. (Don't know) - 99. (Refusal) - F2. Did you conside...
AI summary The document includes questions about annual energy efficiency budgets, payback periods for the Affordable Multifamily Housing (AMH) program, and tenant utility cost responsibilities. Respondents are asked to specify budgets, confirm payback period considerations, and disclose tenant utility payment practices.
APPENDIX XXXII 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...
AI summary HEA incentives are funded by multiple sources and are reported differently depending on the funding type. EfficiencyOne updated equations in 2019 and 2024 to better account for energy savings from fuel switching and the distribution of savings between DSM-funded and government-funded programs. Solar PV measures are reported in the DSM evaluation report as they offset electricity use.
[Table](#page-33-1) 2 below presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well EUL values for each service and Efficient Product Rebates as a whole.
AI summary Table 2 outlines participation levels, net-to-gross ratios (NTGRs), evaluated gross and net savings at the generator, annual GHG emission reductions, and effective useful life (EUL) values for each service and Efficient Product Rebates as a whole.
Table 2: Overall 2024 Efficient Product Rebates Participation and Evaluated Savings Participation Level Gross Gross Savings Net Savings Value Unit Value Unit Value Value Unit Application Rebates Energy Savings 262 Projects 15.526 GWh 0.74...
AI summary Table 2 presents the 2024 participation levels and evaluated savings from efficient product rebates, including energy savings, peak demand savings, GHG emission reductions, and effective useful life. The data is categorized into Application Rebates and Instant Rebates, with overall totals and net-to-gross ratios (NTGR) provided for each category.
Program Tracked and Evaluated Savings [Table](#page-36-0) 3 below compares E1 tracked electrical energy and peak demand savings to evaluated savings at the generator. It also includes the realization rate, representing the ratio of evaluat...
AI summary Table 3 compares E1 tracked electrical energy and peak demand savings to evaluated savings at the generator, including realization rates and net-to-gross ratios (NTGRs) calculated as the ratio of net savings to gross savings.
INTRODUCTION EfficiencyOne (E1), an independent, non-profit organization, is responsible for helping Nova Scotians improve the energy efficiency of their homes and workplaces by designing, marketing, and delivering demand-side management (...
AI summary EfficiencyOne (E1) is an independent non-profit organization that delivers energy efficiency and demand-side management (DSM) programs in Nova Scotia through the Efficiency Nova Scotia (ENS) franchise. E1's 2024 Efficient Product Rebates program, part of the Business Energy Rebates (BER) component, is being evaluated by Econoler. The evaluation focuses on baseline definitions, savings calculation methodologies, and parameters such as net-to-gross ratios (NTGRs).
Table 4: Types of Evaluations Conducted for Each Program Component, 2024 2023 Program Program Component Process Market Impact Efficient Product Rebates BER X X Comprehensive (IR) Condensed (AR) For each program, the Evaluator prepared a DS...
AI summary Table 4 outlines the types of evaluations conducted for the Efficient Product Rebates program component in 2023, including comprehensive and condensed evaluations. The Evaluator prepared a DSM evaluation report detailing energy savings, peak demand savings, and GHG emissions avoided.
Table 5: 2024 BER Evaluation Approach Evaluation Objectives Research Questions Methodology Collect information on participant and distributor perspectives › How do participants become aware of BER-IR? › What is the level of satisfaction wi...
AI summary Table 5 outlines the 2024 BER Evaluation Approach, focusing on collecting participant and distributor perspectives, calculating gross and net results, and using methods such as surveys, interviews, and adjustment ratios. It also references the 2024-2025 DSM MA for evaluating energy savings and GHG emission reductions.
Table 9: Updated BER AR EUL Values Measure Tracked EUL Evaluated EUL LED Linear Fixtures 1 x 4 Luminaires 11.6 11.9 2 x 2 Luminaires and Retrofit Kits 11.6 11.9 2 x 4 Luminaires and Retrofit Kits 11.6 11.9 Linear Ambient and Low-bay Lumina...
AI summary Table 9 presents updated Business Energy Rebates (BER) Annualized Energy Usage Life (EUL) values for various energy efficiency measures. The table shows both tracked and evaluated EUL values for different lighting and HVAC measures, with the weighted average EUL for gross and net savings calculated as 18.9 years.
4.2.4 Evaluated Gross Savings The savings achieved for each Application Rebates measure category are presented in [Table](#page-54-1) 10 below. Both energy and peak demand savings were revised by applying the adjustment ratios discussed in...
AI summary The document discusses the evaluation of gross savings for Application Rebates measure categories, including energy and peak demand savings adjusted using ratios from Subsection 4.2.1. Savings at the generator are calculated using line loss factors provided by NS Power, weighted averages from rate codes and energy savings data from the 2024 tracking sheet.
Table 10: Evaluated 2024 Application Rebates Gross Energy and Peak Demand Savings Measure Category Agriculture Commercial Kitchen HVAC Lighting Motors Pumping Energy Savings Tracked Gross Energy Savings 0.082 0.017 1.814 8.011 3.904 0.008...
AI summary Table 10 presents the evaluated 2024 application rebates for gross energy and peak demand savings across various measure categories, including agriculture, commercial kitchen, HVAC, lighting, motors, and pumping. It includes metrics such as energy savings, adjustment ratios, line loss factors, and lifetime energy savings.
Evaluated 2024 Application Rebates Gross Energy and Peak Demand Savings (Continued) Measure Category Refrigeration Solar PV Total for All Categories Energy Savings Tracked Energy Savings (GWh) 0.010 0.663 14.509 Adjustment Ratio 1.000 1.00...
AI summary The table presents evaluated 2024 application rebates gross energy and peak demand savings, categorizing them into Refrigeration, Solar PV, and Total for All Categories. It includes metrics such as energy savings, adjustment ratios, line loss factors, and lifetime energy savings, with no differences identified between tracked and evaluated gross savings.
Net savings are defined as the changes in energy use attributable specifically to Application Rebates. Net savings were estimated by applying the above NTGR to the evaluated gross savings as illustrated in the following equation. Net Savin...
AI summary Net savings from Application Rebates are calculated using the Net Total Generation Reduction (NTGR) applied to evaluated gross savings. This resulted in 5,425 tonnes of CO2 eq in annual GHG emission reductions.
4.4 Realization Rate [Table](#page-58-1) 15 below compares the electrical energy and peak demand savings established through the 2024 Application Rebates evaluation to those outlined in the 2024 tracking sheet. It also includes the realiza...
AI summary The realization rates for both electrical energy and peak demand savings from the 2024 Application Rebates were 100%, as shown in Table 15, which compares tracked and evaluated savings.
Table 16: Instant Rebates Tracked and Evaluated HOU Values Measure Tracked Annual HOU (hours/year) Evaluated Annual HOU (hours/year) LED Linear Fixtures 1 x 4 Luminaires 4,300 4,209 2 x 2 Luminaires and Retrofit Kits 4,300 4,209 2 x 4 Lumi...
AI summary The text presents tables tracking and evaluating HOU values for instant rebates related to LED lighting fixtures and occupancy/motion sensors. The data shows tracked and evaluated annual HOU values and unitary energy savings for different lighting measures and sensor types.
As part of the 2024-2025 Measure Assessment activities, the Evaluator reviewed the peak coincidence factor (PCF) of 60% for indoor lighting measures. This percentage constitutes the weighted average PCF of all indoor lighting measures inst...
AI summary The Evaluator reviewed and updated the peak coincidence factor (PCF) for indoor and outdoor lighting measures, as well as circulator pumps, in 2024. A PCF of 60% was used for indoor lighting, 100% for outdoor measures and circulator pumps, and unitary peak demand savings values for occupancy/motion sensors were updated.
Table 19: Instant Rebates Tracked and Evaluated EUL Values Measure Tracked EUL (years) Evaluated EUL (years) LED Linear Fixtures 1 x 4 Luminaires 11.6 11.9 2 x 2 Luminaires and Retrofit Kits 11.6 11.9 2 x 4 Luminaires and Retrofit Kits 11....
AI summary Table 19 presents the tracked and evaluated Equivalent Energy Usage Life (EUL) values for various LED lighting measures under the Instant Rebates program. The evaluated EUL values are used to calculate gross and net lifetime electrical energy savings, resulting in a gross weighted average EUL of 14.1 years.
5.2.6 Evaluated Gross Savings The energy and peak demand savings associated with Instant Rebates were calculated using the unitary savings values (including baseline wattages, the actual wattages of efficient measures, ballast factors wher...
AI summary The document discusses the calculation of energy and peak demand savings from Instant Rebates using data from the 2024-2025 DSM Measure Assessment. Savings at the generator were calculated using weighted average line loss factors based on the distribution of rate code spending for other BNI programs in 2024, with references to the 2014 Cost of Service Study Progress Update submitted to the NSUARB.
Net savings are defined as the changes in energy use that are specifically attributable to Instant Rebates. Net savings were estimated by applying the overall NTGR presented above to evaluated gross savings as exemplified in the following...
AI summary Net savings are calculated using the NTGR applied to evaluated gross savings, resulting in 13,241 tonnes of CO2 eq in annual GHG emission reductions. Calculations differ by measure category due to varying NTGRs.
Table 29: Overall 2024 Efficient Product Rebates Participation and Evaluated Savings Participa tion Level Gross s Savings NTGR Net S avings Value Unit Value Unit Value Value Unit Application Rebates Energy Savings 262 Projects 15.526 GWh 0...
AI summary Table 29 presents data on the participation and evaluated savings from efficient product rebates in 2024, including energy savings, GHG emission reductions, and EUL for both Application Rebates and Instant Rebates. The table highlights the effectiveness of these programs in reducing energy consumption and emissions.
C8. What was the SECOND most important reason you purchased rather than standard ? Motivations for 2018 2019 2020 2021 2022 2024 Buying Efficient Products Most Important Reason Other Reasons Most Important Reason Other Reasons Most Importa...
AI summary The table presents data on the motivations for purchasing efficient products over standard products from 2018 to 2024, highlighting energy efficiency, cost savings, and program incentives as key factors influencing the decision.
G2B. Why were you not more satisfied with the rebate amounts? Most Important Reason for Not Being More Satisfied with Rebate Amounts 2019 2020 2021 2022 2024 Sample Size 12 (#) 17 (#) 10 (#) 8 (#) 6 (#) Rebate is too small/Expected higher...
AI summary Respondents expressed dissatisfaction with rebate amounts, citing reasons such as rebates being too small, inconsistency in rebate amounts, and lack of information. Some respondents also suggested additional efficient equipment or services for which rebates could be provided.
[ASK [D8](#page-96-0) TO [D11](#page-97-0) IF AWARE OF REBATE [(D1=](#page-95-0)1 or [D2=](#page-95-1)2), RANDOMIZE [D8](#page-96-0) TO [D11]](#page-97-0) - D8. Without the BER rebate, what is the likelihood that you would have purchased t...
AI summary The text presents a series of questions related to the impact of a rebate program on the purchase of efficient lighting products. It asks respondents about their likelihood of purchasing the same products, keeping existing fixtures, purchasing quantities, and postponing purchases without the rebate.
APPENDIX IV BER Application Rebates Tracking Sheet Audit This appendix presents the main results of the tracking sheet audit performed by the Evaluator, which was aimed at: - › Verifying that all data fields required for the evaluation wer...
AI summary This appendix details the audit of the BER Application Rebates Tracking Sheet conducted by the Evaluator. The audit aimed to verify data completeness and accuracy of tracked results, including validation of calculation steps and consistency with previous evaluation results.
Table 1: 2024 Application Rebates Corrected Tracked Savings Service Result Value Tracked by E1 Corrected Tracked Value Relative Difference Value Unit Value Unit Value BER Application Rebates Gross Energy Savings at the Generator 15.582 GWh...
AI summary Table 1 presents corrected tracked savings for the 2024 BER Application Rebates, showing no differences between the original and corrected values for energy and peak demand savings at the generator level. Appendix V discusses an audit of the BER Instant Rebates Tracking Sheet.
Table 2: 2024 Instant Rebates Corrected Tracked Savings - Pumping Program Component Results Value Tracked by E1 Corrected Tracked Value Relative Difference Value Unit Value Unit Value Instant Rebates - Pumping Gross Energy Savings at the G...
AI summary Table 2 shows the 2024 Instant Rebates Corrected Tracked Savings for Pumping. The data indicates that both gross and net energy and peak demand savings at the generator remained unchanged after correction, with a negligible difference of -0.09%.
Table 1: Instant Rebates Distributor Influence Level Algorithm 2022 Algorithm 2024 Algorithm Question Answer Score Question Answer Score Influence 1 [ASK IF B1=1-6 OR 96 OR B2=2] I'd like to learn more about what influenced your organizati...
AI summary Table 1 outlines an algorithm used to assess the influence level of distributors in the context of instant rebates for efficient products. It includes questions and scoring mechanisms to evaluate factors affecting decision-making related to the sale of efficient products in 2022 and 2024.
Table 2: Instant Rebates Participant and Overall Free-ridership Algorithm 2022 Algorithm 2024 J Algorithm [ASK IF D1=2 OR 98] I want to make sure I understand. When you purchased these 1) Yes, unaware of the rebate [ASK IF D1=2 OR 98] Have...
AI summary This table outlines the algorithm used to determine participant and overall free-ridership in the Instant Rebates program. It includes questions to assess whether participants were aware of the rebate and whether they decided to purchase products before knowing about the rebate.
This appendix summarizes all the recommendations made by the Evaluator as part of the 2024 BER evaluation. Section Recommendations Executive Summary Recommendation #1: Undertake additional research to further validate the market evaluation...
AI summary The Evaluator recommends additional research to validate market evaluation results for LED baseline effectiveness in BER-IR, reviewing eligibility criteria for LED lighting in new construction, maintaining the non-LED baseline for BER-IR, and planning for a shift in product offerings from BER-IR to BER-AR. The recommendations also focus on improving tracking of multi-wattage products and increasing interest in controlled lighting products.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. The energy savings that occur over the lifetime of an energy efficiency measure. Lifetime energy savings account for a measure's effective useful life and any i...
AI summary The text defines key terms related to energy efficiency and measurement, including accuracy, lifetime energy savings, the multiplier for converting customer meter savings to utility generator savings, random sampling error, market impact, and net savings. These definitions are crucial for understanding program evaluation and energy savings calculations.
Table 2: Overall 2024 Custom Incentives Participation and Savings Particip ation Level Gross s Savings NTGR Net Savings Value Unit Value Unit Value Unit Value Custom • Energy Savings 49.825 GWh 0.80 39.951 GWh Lifetime Energy Savings 628.9...
AI summary Table 2 shows the participation and savings from the 2024 Custom Incentives program, which exceeded its targets for net electrical energy and peak demand savings. The program achieved 44.429 GWh in net energy savings and 5.793 MW in net peak demand savings, with Custom being the largest contributor.
Table 5: Implementation Status of Past Recommendations for Custom # Recommendations Status Comments 2022 Retrofit R2 Require measurement and verification (M&V) efforts based on the International Performance Measurement and Verification Pro...
AI summary The document discusses the implementation status of past recommendations related to custom programs, including the use of M&V efforts based on the IPMVP Option C approach for retrofit projects, revisions to model review processes, monitoring free-ridership, and updating logic models for Custom Retrofit. Progress and completion statuses are outlined with specific comments.
3 Retrofit Impact Evaluation The objectives of the 2024 Retrofit impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as EUL values and associated lifetime ene...
AI summary The 2024 Retrofit impact evaluation aimed to assess energy and peak demand savings, annual GHG emissions avoided, and EUL values. Retrofit includes partial savings for future projects, final savings for single-year 2024 projects, and final savings for multiyear projects. Table 7 details 13 partial, 61 single-year, and 14 multiyear projects achieving savings in 2024.
3.2.6 Evaluated Gross Savings Savings for Retrofit are claimed under three defined categories: (1) Partial savings; (2) final savings for singleyear 2024 projects; and (3) final savings for multiyear projects. For projects that claimed par...
AI summary The document outlines how savings for Retrofit are categorized and adjusted. Savings are divided into partial, single-year 2024, and multiyear projects. A true-up adjustment is applied to projects completed in 2024 that previously claimed partial savings. Adjustment ratios are used to calculate overall evaluated gross savings for Retrofit.
Table 10: Example of a 2024 True-up Adjustment 2023 2024 Total Tracked Savings (kWh) 469,584 108,249 577,833 Year-specific Adjustment Ratio 1.017 1.021 Revised Savings Prior to True-up (kWh) 477,567 110,522 588,089 Total Project Revised Sa...
AI summary Table 10 provides an example of a 2024 True-up Adjustment, showing tracked savings, adjustment ratios, and revised savings for energy efficiency projects. Table 11 outlines overall evaluated gross savings for Retrofit, incorporating adjustment ratios and true-up adjustments to account for multiyear project completions in 2024.
Table 16: Evaluated 2024 Retrofit Net Energy and Peak Demand Savings Partial Savings Claimed Final Savings Claimed for Single-year Projects Final Savings Claimed for Multiyear Projects Total Energy Savings Gross Energy Savings – at the Met...
AI summary Table 16 presents evaluated 2024 retrofit net energy and peak demand savings, including gross and net energy savings, true-up adjustments, line loss factors, and net lifetime energy savings at the generator. It also includes peak demand savings, true-up adjustments, and line loss factors for peak demand.
wer's ($250,000) but is much lower than Hydro Québec's ($12,000,000), although Hydro Québec only targets large scale developments and allows multiple buildings to be considered under the same claim. Also of interest is that two programs, E...
AI summary The text discusses jurisdictional considerations and program elements from Efficiency Manitoba and National Grid Massachusetts that incentivize operational building performance, including post-occupancy incentives and commissioning activities. These programs aim to improve energy efficiency in buildings.
Table 18: Comparison program of building codes, eligibility, and incentives Jurisdiction Equivalent Baseline Code Minimum Eligibility (% Better Than Code) Building Size Requirement Modelling Incentive Implemen tation Incentive Structure Ma...
AI summary Table 18 compares building code requirements, eligibility criteria, and incentive structures across various jurisdictions, including Efficiency Nova Scotia, BC Hydro, New Brunswick Power, Efficiency Manitoba, Hydro-Québec, and National Grid Massachusetts. The table highlights differences in baseline codes, minimum eligibility, building size requirements, and incentive amounts.
5.2.5 Evaluated Gross Savings The 2024 gross energy and peak demand savings calculated for New Construction are presented in [Table](#page-12-0) 19 below. They were obtained by applying the average adjustment ratios of 1.028 on energy savi...
AI summary The 2024 gross energy and peak demand savings for new construction are calculated using average adjustment ratios of 1.028 for energy and 1.003 for peak demand. Line loss factors specific to each project were applied based on rate codes provided by NS Power.
As presented in [Table](#page-19-0) 25 below, GHG emission reductions were calculated by applying the Nova Scotiaspecific factor[33](#page-18-1) for GHG emissions generated by electricity production to Building Optimization gross savings....
AI summary The text discusses the calculation of GHG emission reductions using a Nova Scotia-specific factor derived from Nova Scotia Power's 2023 emissions data and total electricity generation. It references data sources and provides context on how line loss factors and EUL values are determined for retrofit projects.
10 SEM Evaluation Approach The 2024 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 2024 SEM evaluation aimed to calculate gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The Evaluator identified key research questions and outlined methods and sample sizes in Table 31.
Cross-Influence Question Answer Score 1) Yes CONTINUE E1 Since first taking part in the Custom Retrofit program, have you implemented 2) No any additional energy efficiency measures outside of the program? 98/99) Don't know/Refused Thank a...
AI summary The text is a table from a regulatory proceeding document that includes questions related to energy efficiency measures and financing. It explores whether participants in the Custom Retrofit program have implemented additional measures and whether they received or plan to request financing or rebates from Efficiency Nova Scotia.
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 The table presents a questionnaire used to assess participant responses regarding energy efficiency incentives and free-ridership algorithms. It includes questions about the influence of energy modeling consultants and the impact of incentives on building design decisions.
This appendix summarizes all the recommendations made by the Evaluator as part of the Custom evaluation. Section Recommendations Executive Summary 2024 New Construction Recommendation #1: Review the demand savings script used for projects...
AI summary The appendix outlines recommendations for improving energy efficiency programs in Nova Scotia, including enhancing modelling accuracy, increasing M&V requirements, recruiting energy modellers, aligning with NECB 2020, and updating program guidelines to address barriers and improve participation.
- € Strategic Energy Management Efficiency Nova Scotia ECONOL≣R Project Review Protocol 1. General Information Interview/Site Visit Date: Project ID: NSPI Rate Code: Company Name: Address: Team: Contact Name: Contact Title: Phone: Email: L...
AI summary The document outlines the Strategic Energy Management (SEM) Efficiency Nova Scotia Project Review Protocol, focusing on energy consumption drivers, participation history, and measurement and verification (M&V) protocols. It includes sections for baseline and reporting periods, regression analysis, and energy savings calculations.
Table 1: 2024 SEM Electrical Energy Savings Adjustments Project Tracked Savings (kWh) Evaluated Savings (kWh) Adjustment Ratio Explanation for Adjustment 1 1,186,033 1,186,033 1.000 None. 2 298,525 298,525 1.000 None. 3 277,960 276,378 0.9...
AI summary The tables detail electrical energy and peak demand savings adjustments for 2024 SEM projects. Adjustments were made due to calculation errors, spreadsheet errors, and changes in processing schedules. These adjustments impacted the tracked and evaluated savings for various projects, with some projects showing minor changes and others significant adjustments.
2 SBES Evaluation Approach The 2024 SBES evaluation consisted of a condensed impact evaluation, which also covered the Commercial Direct Install (CDI) pilot. The main objectives of the 2024 SBES evaluation were as follows: - › Calculate gr...
AI summary The 2024 SBES evaluation focused on calculating energy savings and GHG emissions reductions from the SBES and CDI pilot programs. The evaluation included objectives such as calculating gross and net results and spillover levels using non-participant surveys. Research questions and methods were outlined in a table.
4.2.5 Evaluated Gross Savings To obtain evaluated gross savings, the Evaluator applied the adjustment ratios[16](#page-143-1) established as part of the 2023 SBES impact evaluation to 2024 tracked savings. [Table](#page-144-0) 8, [Table](#...
AI summary The document discusses the calculation of evaluated gross savings using adjustment ratios from the 2023 SBES impact evaluation applied to 2024 tracked savings. It references line loss factors from the 2014 Cost of Service Study Progress Update and mentions tables presenting the results for SBES paths and the CDI pilot.
Table 11: Evaluated 2024 SBES Gross Energy and Peak Demand Savings – All Paths Program Path Audit DIY CDI Pilot Total Energy Savings Gross Energy Savings – at the Meter (GWh) 0.388 12.077 0.124 12.589 Line Loss Factor 1.0746 1.0688 1.0897...
AI summary Table 11 evaluates the 2024 SBES gross energy and peak demand savings across different program paths, including audit, DIY, and CDI Pilot. The table shows energy and peak demand savings at the meter and generator levels, along with line loss factors and effective useful life. Evaluated gross savings are approximately 4% and 6% higher than tracked values, mainly due to corrected adjustment ratios and line loss factors.
Figure 9: 2024 SBES Tracked and Evaluated Gross Energy Savings at the Generator As presented in [Table](#page-148-3) 12 below, GHG emission reductions were calculated by applying the Nova Scotiaspecific factor[18](#page-147-2) for GHG emis...
AI summary The document discusses the calculation of GHG emission reductions based on energy savings from the Small Business Energy Solutions (SBES) program in 2024, using a Nova Scotia-specific factor derived from Nova Scotia Power's 2023 emissions data and total electricity generation.
Table 16: Comparison of 2024 SBES Tracked and Evaluated Savings at the Generator[19](#page-151-3) Gross Savings NTGR Net Savings Realization Rate Value Unit Value Unit Energy Savings Tracked Savings by E1 12.936 GWh 0.81 10.426 GWh 104% Ev...
AI summary Table 16 compares the tracked and evaluated savings from the 2024 SBES program. Evaluated net energy savings were 4% higher and peak demand savings were 6% higher than tracked values, due to corrected adjustment ratios and line loss factors.
Table 17: Overall 2024 Direct Installation Participation and Evaluated Savings[20](#page-153-4) Participation Level Gross Savings Net Savings Value Unit Value Unit Value Value Unit SBES Energy Savings 61,673 Units 13.459 GWh 0.81 10.854 GW...
AI summary Table 17 presents the 2024 participation and evaluated savings from the Small Business Energy Solutions (SBES) program, including energy savings, peak demand savings, GHG emission reductions, and equivalent energy use life. The data includes gross and net savings, with net savings being approximately 80-81% of gross savings.
Table 5: Overall Interactive Effects Factors for Residential Lighting Measures Interactive Effects Factors Measure Type of Home Energy Savings Peak Demand Savings EPI LED A-type Lamps10 Heat Pump Heating and Air Conditioning -25.8% x 97% =...
AI summary Table 5 presents the overall interactive effects factors for residential lighting measures, including energy and peak demand savings for various lighting technologies and installation methods. The data shows significant energy savings from LED lamps and other efficiency measures across different home heating and cooling configurations.
Table 8: Electrical Unitary Energy Savings Values for LED Lamps Old New Displaced Operating Unitary Type of LED Wattage Wattage Wattage Hours Savings Value (W) (W) (W) (hrs/day) (kWh/year) EPI 9 W Replacing 25 W 25 9 16 2.6 15.2 9 W Replac...
AI summary Table 8 presents electrical unitary energy savings values for LED lamps, comparing old and new wattages, displaced wattage, operating hours, and annual energy savings in kWh. The table includes various LED replacements, such as 9 W and 9.5 W lamps replacing higher wattage bulbs, as well as specific programs like EPI and Instant Savings. It also notes corrections from the 2024 DSM evaluation.
Table 33: Heat Pump Water Heater Measure Summary Parameter HEA, MHEEP Instant Savings, HPWH Reference Measure Description and Identification Measure transformation initiative (HPWH) Heat pump water heaters for electric DHW heating with dir...
AI summary Table 33 summarizes the energy savings parameters for heat pump water heaters (HPWH) under different programs, including Instant Savings, HEA, and MHEEP. It outlines metrics such as unitary energy savings, peak demand savings, and installation rates, with references to subsections for detailed calculations.
Table 36: Electrical Unitary Energy Savings Values for Low-flow Showerheads Parameter Symbol EPI Reference Single-family Homes Apartments Baseline Flow Rate [gpm] qbase Variable (2.0 gpm, 2.25 gpm, or 2.5 gpm) Variable (2.0 gpm, 2.25 gpm,...
AI summary Table 36 presents electrical unitary energy savings values for low-flow showerheads, including parameters such as baseline flow rate, low-flow rate, number of people per household, average shower time, and efficiency of water heaters. The data is sourced from various studies and references, including the EPI Program Manual and technical reports.
Table 45: 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 45 summarizes the pipe insulation measure, including details such as the 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 metrics.
Table 48: 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 48 provides a summary of the Hot Water Tank Wrap Measure, focusing on energy savings and installation parameters. It outlines the measure description, baseline conditions, application scope, and various energy-saving metrics such as unitary energy savings, peak demand-to-energy ratio, and interactive effects factors.
Unitary Peak Demand Savings Unitary peak demand savings for wood and pellet stoves and fireplace inserts installed under Green Heat and HEA were previously based on program design data. 89 It was assumed that, during the peak demand period...
AI summary The unitary peak demand savings for wood and pellet stoves and fireplace inserts under Green Heat and HEA programs were initially based on program design data. However, due to a significant reduction in energy savings found in billing analysis, the assumption that existing ASHPs operated exclusively on electric resistance backup during peak demand periods was revised. This led to a recalculated reduction in peak demand savings using the ratio of electrical energy savings.
Installation Rates For Instant Savings and MHEEP, the installation rates are assumed to be 100%. For EPI, an installation rate of 84% was measured during the 2024 EPI on-site visits for smart thermostats for MSHPs. For smart thermostats co...
AI summary The document outlines installation rates for various programs, noting 100% for Instant Savings and MHEEP, and 84% for EPI smart thermostats for MSHPs based on 2024 on-site visits. For smart thermostats controlling electric baseboards and in-floor heating, a 100% rate is assumed as no data was collected for these specific devices.
Table 81: Clothesline and Outdoor Drying Rack Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Clotheslines and outdoor drying racks rebated in store - Baseline Clothes being dr...
AI summary Table 81 provides a summary of the Clothesline and Outdoor Drying Rack Measure, including parameters such as measure description, baseline, installation rate, effective useful life, and energy savings. The table highlights energy savings in terms of kWh/year and peak demand-to-energy ratio.
Table 89: Dehumidifier Replacement or Retirement / ENERGY STAR Certified Dehumidifier Measure Summary Parameter ARet, ASFH, MHEEP146 Instant Savings Reference Measure Description and Identification Measure Replacement or retirement of old...
AI summary The table provides a comparison between the replacement or retirement of old dehumidifiers and the rebate for ENERGY STAR certified dehumidifiers. It outlines parameters such as energy savings, peak demand savings, and useful life for both measures.
For both ARet and Instant Savings, dehumidifier electrical unitary energy savings are calculated using the equation below. $$Energy \ Savings \ _{kWh} = AWRC \times AOD \times \left(\frac{1}{EF_{base}} - \frac{1}{EF_{new}}\right)$$ 146 Whi...
AI summary The document outlines the methodology for calculating energy savings from dehumidifier replacements and retirements under the ARet and Instant Savings programs. It references energy factor calculations based on data from 2011 and 2021-2023, as well as guidelines from NRCan and the ENERGY STAR program.
Table 91: ENERGY STAR Certified Clothes Dryer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR certified clothes dryers rebated in store - Baseline New non-ENERGY STAR certified...
AI summary Table 91 summarizes the energy savings parameters for ENERGY STAR certified clothes dryers, including unitary energy savings, peak demand-to-energy ratio, and effective useful life. The measure involves rebating these dryers in store, with a 100% installation rate and a 12-year useful life.
Table 93: Efficient Clothes Washer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR clothes washers, rebated in store - Baseline New non-ENERGY STAR clothes washer General Param...
AI summary Table 93 provides a summary of the Efficient Clothes Washer Measure, including details on energy savings, installation rates, and useful life. The measure involves rebating ENERGY STAR clothes washers, with a baseline of non-ENERGY STAR washers. Energy savings parameters and interactive effects factors are also outlined.
Table 100: Efficient Washer-Dryer Combination Units Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR washer-dryer combination units rebated in store - Baseline New non-ENERGY STAR washer-dryer...
AI summary This table outlines the parameters for efficient washer-dryer combination units, including energy savings, peak demand savings, and useful life. The measure involves rebating ENERGY STAR units, with a baseline of non-ENERGY STAR units. The unitary energy savings are 144 kWh/year, and the peak demand-to-energy ratio is 0.138.
Table 103: Energy Consumption Breakdown for Baseline and Efficient Clothes Washers Energy Consumption Breakdown for Clothes Washers Proportion of Overall Consumption165 Baseline Clothes Washer Electricity Consumption (kWh/year) Efficient C...
AI summary Table 103 provides an energy consumption breakdown for baseline and efficient clothes washers, highlighting significant reductions in electricity use, particularly in water heating systems and clothes dryers. The data is based on participant information from the 2022 and 2023 EPI tracking sheets, which were used due to changes in the EPI program in 2021.
The electrical unitary energy savings value is determined by using the following equation for ENERGY STAR certified room air purifiers. $$\begin{split} Energy \, Savings \, \left[ \frac{kWh}{year} \right] \\ &= \left[ CADR[cfm] \times \lef...
AI summary The document provides an equation to calculate the energy savings of ENERGY STAR certified room air purifiers, using parameters like CADR, EF, SBP, and HOU. Most values are derived from the 10 most sold models in 2024, with others based on the Savings Calculator for ENERGY STAR Qualified Appliances due to the absence of Canadian minimum requirements for air purifiers.
Table 110: ENERGY STAR Certified Dishwasher Measure Summary Parameter Instant Savings Measure Description and Identification Measure ENERGY STAR certified dishwashers that use less than 250 kWh, rebated in store - Baseline New non-ENERGY S...
AI summary The table outlines the energy savings parameters for ENERGY STAR certified dishwashers, including unitary energy savings, peak demand-to-energy ratio, and installation rates. These measures are part of a broader program to promote energy efficiency.
Table 113: 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, 2024175 Savings Percentage % Savings 50% Demand controlled ventila...
AI summary Table 113 presents electrical savings values for humidity sensors used in bathroom exhaust fans, including fan efficiency, savings percentage, fan exhaust rate, annual operating hours, and annual energy savings. These values are based on standards and studies from various sources, and the savings are attributed to demand-controlled ventilation.
Table 118: Smart Power Controllers for Audiovisual Equipment Measure Summary Parameter EPI Instant Savings Reference Measure Description and Identification Measure Smart power controllers for audiovisual equipment with direct installation...
AI summary This table provides a summary of the Smart Power Controllers for Audiovisual Equipment Measure, including details on installation rates, effective useful life, and energy savings parameters for two programs: EPI and Instant Savings. It outlines the baseline, measure subcategories, and references for further information.
[Table](#page-197-0) 119 presents the annual unitary savings values for EPI and for Instant Savings and the source of those values. Table 119: Electrical Unitary Savings Values for Smart Power Controller Audiovisual Equipment Parameter EPI...
AI summary Table 119 provides annual unitary savings values for EPI and Instant Savings programs, along with their sources. The table includes energy savings in kWh/year for audiovisual equipment and references the NMR Group report from 2019.
Table 123: Heavy-duty Outdoor Timer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Heavy-duty outdoor timers rebated in store - Baseline Outdoor outlets without timers General...
AI summary Table 123 summarizes the Heavy-duty Outdoor Timer Measure, including parameters like installation rate, energy savings, and peak demand savings. The measure involves rebating heavy-duty outdoor timers, with a baseline of outdoor outlets without timers. Energy savings are estimated at 122 kWh/year, and the peak demand-to-energy ratio is 0.000.
Table 125: 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 provides a summary of the ENERGY STAR certified pool pump measure, including details on energy savings, installation rates, and useful life. It references a report from Research into Action presented to the Ontario Power Authority in 2013.
Table 134: EUL Values for Residential LED Lamps and Fixtures Measure Program Component Average Rated Lifetime (hours) Annual HOU (hours/year) Equipment Life (years) 2024 Equivalent EUL (years) LED A19 Lamps 9 W Replacing 25 W EPI 25,000 94...
AI summary Table 134 presents EUL (Effective Useful Life) values for various residential LED lamps and fixtures, including details on average rated lifetime, annual HOU (hours of use), equipment life, and 2024 equivalent EUL. The table includes data for different wattage replacements, types of lamps, and programs such as EPI and Instant Savings.
Table 135: EUL Values and Sources for Non-LED Lighting Residential Measures Measure Name Efficient Clothes Washers Instant Savings 11 ENERGY STAR Calculator, 2016 (Value for clothes washers) DOE, Building Energy Data Book, 2011, Table 5.7....
AI summary Table 135 outlines EUL (Energy Use Life) values and sources for various non-LED lighting residential measures, including efficient clothes washers, washer-dryer units, air purifiers, and dishwashers. The table includes references to various calculators, data books, and guidelines used to determine these values.
Table 136: 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 Appendix II Update EUL...
AI summary This table outlines changes to the Commercial Measure Assessment, including updates to savings calculations, new measures like compressed air leak repairs and variable frequency drives, and removal of the booster pump. It also notes the creation of separate residential and commercial reports and the addition of LED roadway lighting and smart thermostats for electric heating.
Table 138: BER-AR Interactive Effects (IE) Factors for Lighting IE Energy Building Type IE Peak Demand (if electrical heating) Electrical Heating Electrical Cooling Electrical Heating and Cooling Agriculture 0.75 0.81 1.04 0.85 Banking / F...
AI summary The document discusses interactive effects factors for lighting in different building types, based on data from BER-AR and SBES programs. These factors are used to calculate energy and peak demand savings, with adjustments made for recessed fixtures. The methodology follows ASHRAE guidelines and applies a 57% multiplier for limited interaction with heating and cooling systems.
5.1.3 Adjustment Ratios The adjustment ratios in [Table](#page-23-1) 141 were established through the latest comprehensive impact evaluation for each program. They should be applied for all lighting measures in SBES and BER-AR, except for...
AI summary Adjustment ratios in Table 141 were established through the latest comprehensive impact evaluation for each program and should be applied for all lighting measures in SBES and BER-AR, except for CDI measures and LED roadway lighting measures.
Table 142: LED Lamp Measure Summary Parameter SBES Reference Measure Description and Identification Measure Description LED lamps installed with direct installation - Baseline Existing lighting being replaced Measure Subcategory A-type, re...
AI summary Table 142 provides a summary of LED lamp measures, including installation rates, energy savings adjustment ratios, peak demand savings, and useful life. The table also references additional details in subsections and other tables for specific calculations and variations.
Table 146: Electrical Unitary Energy Savings Values for Linear LED Fixtures Parameter Symbol Value for BER-IR Value for BER AR and SBES Reference Baseline Wattage [W] 𝐵𝑎𝑠𝑒𝑙𝑖𝑛𝑒 𝑊𝑎𝑡𝑡𝑎𝑔𝑒 Fixed baseline based on fixture type and lumen output A...
AI summary Table 146 outlines the electrical unitary energy savings values for linear LED fixtures, detailing parameters such as baseline wattage, new wattage, and hours of operation. It references Table 147 for baseline wattage calculations based on lumens output for T8 fluorescent luminaires.
Table 149: Electrical Unitary Energy Savings Values for Linear LED Lamps 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 Based on sp...
AI summary Table 149 outlines the parameters for calculating electrical unitary energy savings values for linear LED lamps under the Building Energy Retrofit - Instant Rebate (BER-IR) and Building Energy Retrofit - Annual Report (BER-AR) programs. Key parameters include baseline wattage, ballast factor, hours of operation, and energy savings calculations. Table 150 provides baseline wattage values for six subcategories of linear LED lamps based on the Duke Energy Fixture Wattage Table.
Table 156: Electrical Unitary Energy Savings Values for Directional and Architectural 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...
AI summary Table 156 outlines electrical unitary energy savings values for directional and architectural LED fixtures, comparing baseline and new wattage, hours of operation, and energy savings calculations. The baseline technology is halogen lamps with a lumens output of 17 lumens/W.
Table 160: Savings Factor per Control Type Control Type Savings Factor % Wall Occupancy Sensors 24% Fixture Mounted Occupancy 24% Remote Mounted Occupancy 24% Refrigerator Case Controls 40% Freezer Case Controls 40% Exterior Occupancy 41%...
AI summary Table 160 presents savings factors for various control types, including occupancy and daylight sensors, as well as refrigerator and freezer case controls. These percentages indicate the energy savings associated with each control type, which may be relevant for energy efficiency programs and cost calculations.
Table 163: LED Roadway Lighting Measure Summary Parameter BER-AR Reference Measure Description and Identification Measure LED, DLC Premium qualified roadways lighting with a minimum efficacy of 150 lm/W, with advanced dimming based on real...
AI summary Table 163 summarizes the LED roadway lighting measure, including details such as the measure description, baseline, installation rate, effective useful life, and energy savings parameters. The table provides data on unitary energy savings, peak demand savings, and interactive effects factors.
Table 165: Horticultural Lighting Measure Summary В ER-AR Unitary Peak Demand Savings [W] Calculation based on specification data for each rebated unit See details below under Unitary Peak Demand Savings
AI summary Table 165 outlines the Horticultural Lighting Measure Summary, focusing on Unitary Peak Demand Savings [W] calculated based on specification data for each rebated unit. It references additional details under Unitary Peak Demand Savings.
Table 171: Booster Pump Measure Summary Parameter BER-AR Reference Measure Description and Identification Measure High efficiency booster pumps rebated after installation - Baseline Existing booster pumps General Parameters Installation Ra...
AI summary Table 171 provides a summary of the Booster Pump Measure, including details such as measure description, baseline, installation rate, effective useful life, and energy savings parameters. The table outlines specific calculations and references for energy savings and peak demand savings.
Table 174: 2023 HVAC Gross Savings Adjustment Ratios Program Component Source Evaluation Energy Savings Peak Demand Savings Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error SBES 2023 0.980 4.4% 1.009 8.6% BER-AR 202...
AI summary Table 174 presents 2023 HVAC Gross Savings Adjustment Ratios for different program components, including SBES and BER-AR, along with their respective energy and peak demand savings, adjustment ratios, and margins of error. Section 5.3.4 discusses HVAC Measures.
Table 180: 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 Table 180 outlines the Smart Thermostat for Electric Heating Measure, detailing energy and peak demand savings adjustment ratios, effective useful life, and unitary energy savings for various heating systems such as electric baseboards, in-floor heating, and heat pumps.
Table 186: Unitary Peak Demand 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 at -15°C (estimated temperature during NS peak dema...
AI summary The text presents a table detailing unitary peak demand savings values for air-source heat pumps with a rated heating capacity less than 65,000 Btu/h. It outlines parameters such as heat pump capacity, coefficient of performance, peak coincidence factor, and peak demand savings calculations. Assumptions and references for estimation methods are also included.
Table 212: DHW Heat Pump Water Heater Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Heat pump water heater with an Energy factor greater than 2.3, rebated after installation - Baseline Exis...
AI summary This table outlines the parameters for a heat pump water heater measure, including installation rates, energy savings, and peak demand savings. It provides details on the baseline system, effective useful life, and calculation methods for energy and demand savings. References are made to external documents and sources.
Table 244: Door Heater Control Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Humidity or conductivity-based heater controls that limit heater operation to periods of high relative humidity...
AI summary Table 244 outlines a door heater control measure that limits heater operation based on humidity or conductivity, aiming to reduce energy use. The measure is rebated after installation, with a 12-year useful life and energy savings calculated per unit.
Table 248: Electrical Unitary Energy Savings Values for Evaporator Fan Motor Controls Parameter Symbol BER-AR, SBES Reference Connected Load kW of Each Evaporator Fan [kW] kWevap 0.11 Based on weighted average of 60% shaded pole at 132 Wat...
AI summary Table 248 outlines the electrical unitary energy savings values for evaporator fan motor controls, including parameters like connected load kW, duty cycles, and bonus factors, with references to Vermont TRM and adjustments for the Nova Scotia market.
Table 250: Intelligent Freezer Defrost Control Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Control system which contains temperature and pressure sensors to monitor system operation and d...
AI summary Table 250 outlines the Intelligent Freezer Defrost Control Measure, detailing its description, baseline, installation rate, useful life, and energy savings parameters. The measure involves a control system with sensors to manage defrost cycles and is eligible for rebates after installation.
Table 256: Efficient Refrigeration Compressor Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification tion Measure Efficient scroll compressor, rebated after installation - Baseline Hermetic or semihermetic...
AI summary Table 256 presents a summary of the Efficient Refrigeration Compressor Measure, including parameters such as installation rate, effective useful life, and energy savings calculations. The table outlines the baseline compressor type, energy savings parameters, and factors related to peak demand and energy savings.
Table 261: Refrigeration Economizer Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Coolers capable of drawing in outdoor air when it is sufficiently cool (temperatures less than 34°F or 1°C)...
AI summary Table 261 outlines the Refrigeration Economizer Measure Summary, including parameters such as measure description, baseline, installation rate, effective useful life, and energy savings calculations. The table provides details on unitary energy savings and peak demand savings based on specification data for each rebated unit.
5.10.3 Adjustment Ratios The adjustment ratios in [Table](#page-125-0) 270 for were established as part of the 2022 can be extrapolated for all Agricultural measures in BER-AR. No adjustment ratios were calculated for SBES.
AI summary The adjustment ratios in Table 270 were established as part of the 2022 measures and can be extrapolated for all Agricultural measures in BER-AR. No adjustment ratios were calculated for SBES.
Table 270: Agriculture Gross Savings Adjustments Path and Measure Category Energy Savings Peak Demand Savings Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error Projects Sampled in Project Reviews BER-AR Agriculture Measures...
AI summary Table 270 presents Agriculture Gross Savings Adjustments, including Energy Savings and Peak Demand Savings with adjustment ratios and margin of error. The section discusses BER-AR Agriculture Measures with specific adjustment ratios and margin of error percentages.
Table 271: High Volume Low Speed Fan Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure CSA / cUL rated High Volume Low Speed (HVLS) fans for agricultural facilities, rebated after installation -...
AI summary Table 271 presents a summary of the High Volume Low Speed Fan Measure under the Business Energy Rebates (BER) and Standard Building Efficiency Standards (SBES). It outlines parameters such as energy savings adjustment ratios, peak demand savings ratios, and useful life, along with references to specific subsections and tables for detailed calculations.
$$\Delta kWh = (P_b \ x \ QTY_b - P_e \ x \ QTY_e) \ x \ HOU/1,000$$ Table 272: Electrical Unitary Energy Savings Values for High Volume Low Speed Fans Parameter Symbol BER-AR, SBES Reference Power of the Baseline Fans [W] Pb Actual or bas...
AI summary The document presents a formula for calculating unitary energy savings (∆kWh) for high volume low speed (HVLS) fans based on baseline and new fan power consumption, quantity, and hours of use. It also provides a table with parameters and values used in the calculation.
Table 273: Unitary Peak Demand Savings Values for High Volume Low Speed Fans Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 0.84 As per Subsection 5.10.2 Unitary Peak Demand Savings [W] ∆𝑘𝑊 Calculation based on specifi...
AI summary Table 273 presents unitary peak demand savings values for high volume low speed fans, including parameters such as the Peak Coincidence Factor (PCF) and Unitary Peak Demand Savings (∆𝑘𝑊), with references to calculation methods and specifications.
Table 274: 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 (Exhaus...
AI summary Table 274 outlines the Energy Efficient Ventilation and Circulation Fan Measure Summary, detailing parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life for ventilation and circulation fans. The table provides minimum efficiency standards and rebates for installation.
Table 277: 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 Table 277 outlines eligibility criteria and parameters for rebating dual and natural ventilation systems in agricultural facilities. It specifies measure descriptions, baseline conditions, installation rates, energy savings adjustment ratios, and other technical parameters relevant to the calculation of energy savings.
Table 283: 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 283 presents a summary of the Agriculture Heat Pad Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and other technical details related to the measure. The table provides data for the BER-AR and SBES measures.
Table 289: 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 289 provides a summary of the Dairy Scroll Compressor Measure, including parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and useful life. It outlines the baseline and measure description, as well as various technical parameters related to energy and peak demand savings.
Table 292: 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 292 outlines the parameters for a heat reclaimer unit measure, including energy savings adjustment ratios, peak demand savings adjustment ratios, and other technical specifications. It provides details on installation rates, useful life, and calculation methods for energy and peak demand savings.
Summary [Table](#page-144-2) 298 presents a summary of the values used to calculate VFD for milk vacuum pump savings. The detailed methodology follows.
AI summary Table 298 summarizes the values used to calculate VFD for milk vacuum pump savings, with a detailed methodology provided afterward.
Table 298: VFD for Milk Vacuum Pump Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure VFD for milk vacuum pump which must milk at least 50 cows, rebated after installation - Baseline No existing...
AI summary Table 298 details the VFD for Milk Vacuum Pump Measure Summary, including parameters like installation rate, energy savings adjustment ratios, and effective useful life. It references Subsections 5.10.1, 5.10.2, and 5.10.3 for specific calculations and definitions.
Table 299: Electrical Unitary Energy Savings Values for Milk Vacuum Pumps Parameter Symbol BER-AR, SBES Reference Horsepower of Connected Pump Motor HP Actual Use information in TS Conversion from hp to kW - 0.746 Convention Efficiency of...
AI summary Table 299 provides electrical unitary energy savings values for milk vacuum pumps, including parameters such as horsepower, efficiency, load factor, and hours of use. The table outlines how energy savings are calculated based on specific data for each rebated unit.
Table 301: VFD Milk Transfer Pump Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure VFD for milk transfer pump with pre cooler installed which must milk at least 75 cows, rebated after installat...
AI summary This table outlines the parameters for a VFD Milk Transfer Pump Measure, including installation rates, energy savings adjustment ratios, and electrical savings parameters, referencing specific subsections for detailed calculations.
Table 303: Unitary Peak Demand Savings Values for VFD Milk Transfer Pumps Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 0.84 As per Subsection 5.10.2 Hours of Use [h/year] HOU Actual or 2,920 Use information in TS Def...
AI summary Table 303 outlines unitary peak demand savings values for VFD Milk Transfer Pumps, including parameters like Peak Coincidence Factor, Hours of Use, and Unitary Peak Demand Savings. It references specific subsections and documents for calculation methods and default values.
Table 304: 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 - Genera...
AI summary Table 304 provides a summary of the Dishwasher Measure under the Business Energy Rebates (BER) program. It outlines key parameters such as installation rate, effective useful life, and energy savings calculations for ENERGY STAR® rated dishwashers, with references to specific subsections for detailed information.
Table 305: Electrical Unitary Energy Savings Values for Dishwashers 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...
AI summary Table 305 outlines the parameters and values used to calculate electrical unitary energy savings for dishwashers, including inputs such as annual days of operation, average daily operation, racks washed per day, and energy and water use rates. Energy savings are calculated using the ENERGY STAR Commercial Kitchen Calculator.
Table 306: Unitary Peak Demand Savings Values for Dishwashers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF Actual or 0.68 As per Subsection 5.11.2 Unitary Peak Demand Savings [W] 𝑃𝑒𝑎𝑘 𝐷𝑒𝑚𝑎𝑛𝑑 𝑆𝑎𝑣𝑖𝑛𝑔𝑠𝑘𝑊 Calculation bas...
AI summary Table 306 presents unitary peak demand savings values for dishwashers, focusing on the Peak Coincidence Factor (PCF) and the calculation of peak demand savings based on specification data for each rebated unit. The table also references Subsection 5.11.2 and outlines installation rates.
Table 307: Freezer/Refrigerator Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® rated standalone refrigerator or freezer, rebated after installation - Baseline Standard refrigera...
AI summary This table outlines the parameters for the Business Energy Rebates (BER) program, specifically for ENERGY STAR® rated standalone refrigerators and freezers. It includes details on installation rates, useful life, energy savings, and peak demand savings calculations.
Table 308: Electrical Unitary Energy Savings Values for Freezers/Refrigerators Parameter Symbol BER-AR R, SBES Reference Annual Days of Operation [days/year] DAYS Actual Measure specific - use information in TS Average Daily Operation [hou...
AI summary Table 308 provides parameters for calculating electrical unitary energy savings values for freezers and refrigerators, including annual days of operation, average daily operation, interior volume, energy use, and energy savings. The energy savings are calculated using the ENERGY STAR Commercial Kitchen Calculator.
Table 310: 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 310 outlines the Fryer Measure Summary, focusing on the ENERGY STAR® rated fryer under the Business Energy Rebates (BER) program. It provides details on the baseline, installation rate, useful life, and energy savings parameters, including unitary energy savings and peak demand savings calculations.
Table 311: Electrical Unitary Energy Savings Values for Fryers 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 311 outlines the parameters and calculations for determining electrical unitary energy savings values for fryers, including factors like annual days of operation, fryer size, and energy efficiency. The table references the ENERGY STAR Commercial Kitchen Calculator for calculating energy savings.
Table 312: Unitary Peak Demand Savings Values for Fryers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF Actual or 0.68 As per Subsection 5.11.2 Unitary Peak Demand Savings [W] 𝑃𝑒𝑎𝑘 𝐷𝑒𝑚𝑎𝑛𝑑 𝑆𝑎𝑣𝑖𝑛𝑔𝑠𝑘𝑊 Calculation based on...
AI summary Table 312 presents unitary peak demand savings values for fryers, including the Peak Coincidence Factor (PCF) and calculation methods for peak demand savings. The table references Subsection 5.11.2 and outlines installation rates for energy efficiency programs.
Table 313: Griddle Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® rated griddle, rebated after installation - Baseline Standard electric griddle - General Parameters Installatio...
AI summary The table outlines the parameters for the ENERGY STAR® rated griddle measure under the Business Energy Rebates (BER) program. It includes details such as the baseline standard electric griddle, installation rate, useful life, and energy savings calculations based on specification data for each rebated unit.
Table 328: Commercial Washing Machine Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® rated commercial washing machine used for commercial purposes, rebated after installation •...
AI summary Table 328 outlines the parameters for the Business Energy Rebates (BER) program, focusing on ENERGY STAR® rated commercial washing machines. It details the measure description, baseline, installation rate, useful life, and energy and peak demand savings parameters, with references to specific subsections and reports.
Table 329: Electrical Unitary Energy Savings Values for Commercial Washing Machines Parameter Symbol BER-AR, SBES Reference Modified Energy Factor of Baseline Equipment [ft3/kWh] MEFb 1.26 Canadian Min. Efficiency per EEA, compliance date...
AI summary Table 329 provides electrical unitary energy savings values for commercial washing machines, including parameters like Modified Energy Factor (MEF) for baseline and efficient equipment, equipment capacity, number of loads run per year, and quantity of washing machines. It references ENERGY STAR and other compliance standards.
Table 331: 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 This table outlines the parameters for the Commercial Heat Pump Clothes Dryer Measure, including eligibility criteria, baseline standards, and energy savings calculations. The measure is eligible for rebates if it meets a minimum Combined Energy Factor (CEF) of 4.5 and is ENERGY STAR® rated.
$$\Delta kW = \frac{Load_{avg} x \left(\frac{1}{CEF_{base}} - \frac{1}{CEF_{ee}}\right)}{time_{cycle}} x PCF x QTY$$
AI summary The text provides a mathematical formula used to calculate the change in kilowatts (ΔkW) based on load average, energy efficiency factors, time cycle, peak demand savings factor, and quantity.
Table 333: Unitary Peak Demand Savings Values for Commercial Heat Pump Clothes Dryers Parameter Symbol BER-AR, SBES Reference Time Cycle timecycle 1 Vermont 2015 TRM Peak Coincidence Factor PCF Actual or 0.34 See Subsection 5.12.2 Unitary...
AI summary Table 333 presents unitary peak demand savings values for commercial heat pump clothes dryers, including parameters such as time cycle, peak coincidence factor, and unitary peak demand savings. The table references technical specifications and calculation methods for determining these values.
Table 334: Demand Controlled Kitchen Exhaust Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Controlled by temperature and/or optical sensors located in exhaust hood, rebated after installati...
AI summary Table 334 outlines the Demand Controlled Kitchen Exhaust (DCV) measure under the Business Energy Rebates (BER) program. It details parameters such as installation rate, useful life, and energy savings calculations based on specification data for each rebated unit.
Table 336: Unitary Peak Demand Savings Values for Demand Controlled Kitchen Exhaust Parameter Symbol BER-AR, SBES Reference Demand Savings Factor (kW/hp) DSVG 0.76 Pennsylvania TRM 2016 Peak Coincidence Factor PCF 0.68 As per Subsection 5....
AI summary Table 336 presents unitary peak demand savings values for demand controlled kitchen exhaust, including parameters like Demand Savings Factor and Peak Coincidence Factor, along with their respective values and references.
2024-2025 DSM Measure Assessment Table 338: Electrical Unitary Energy Savings Values for Server-based Power Management Software Parameter Symbol BER-AR, SBES Reference Energy Savings Factor for a Desktop Computer ESFD 356 Based on ENERGY S...
AI summary The document presents a table outlining energy savings values for server-based power management software, including energy savings factors and quantities for desktop and laptop computers. Calculations are based on assumptions from the ENERGY STAR Computer Power Management Savings Calculator and data from a 2004 Lawrence Berkeley National Lab Report.
$$kWh_{AV} = \frac{8,760}{1,000} \times VH \times \left(W_{vh,idle} + U_{vh} \left(W_{vh,full load} - W_{vh,idle}\right)\right)$$ Table 341: Electrical Unitary Energy Savings Values for Server Virtualization and Decommissioning Parameter S...
AI summary The document presents a formula for calculating energy use before and after server virtualization, along with a table detailing parameters for electrical unitary energy savings values related to server virtualization and decommissioning. The table includes parameters such as power use in idle and full load states for servers, utilization rates, and energy savings calculations.
290 Table 342: Unitary Peak Demand Savings Values for Server Virtualization and Decommissioning Parameter Symbol BER-AR, SBES Reference Hours of Use [h/year] HOU 8760 Assumption Unitary Peak Demand Savings [W] ∆𝑘𝑊 Calculation based on spec...
AI summary The text presents a table detailing unitary peak demand savings values for server virtualization and decommissioning, including parameters such as hours of use and unitary peak demand savings. It also mentions installation rates, though details are not provided.
Table 343: Uninterruptible Power Supply (UPS) Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® certified UPS to reduce energy losses, rebated after installation - Baseline No UPS...
AI summary This table summarizes the Uninterruptible Power Supply (UPS) measure under the Business Energy Rebates (BER) program. It outlines parameters such as installation rate, energy savings, and peak demand savings, noting that no peak demand reduction is expected from this measure.
6.1 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 explains how to calculate the equipment life of LED lamps and fixtures using rated lifetimes and annual HOU. It also discusses the need for an equivalent EUL to account for regulatory changes affecting baseline energy use over time, with detailed calculations provided in Appendix III.
Table 345: EUL Values for BNI LED Lamps and Fixtures Measure Program Component Average Rated Lifetime (hours) Annual HOU (hours/year) Equipment Life 2024 Equivalent EUL LED Decorative (Chandelier) SBES 25,000 3,600 6.9 1.0 LED Omnidirectio...
AI summary Table 345 presents EUL (Effective Useful Life) values for various BNI LED lamps and fixtures under different programs, including SBES and BER-AR. The table includes metrics such as average rated lifetime, annual HOU, equipment life, and 2024 equivalent EUL for different lamp types and replacements.
Table 346: EUL Values for Non-LED Lighting BNI Measures Measure Name Program Component EUL Value Reference Lighting Controls Occupancy Sensors BER-IR, BER-AR, SBES 10 GDS, 2007 (Table 2 – Commercial & Industrial Measures, value for occupan...
AI summary Table 346 presents Effective Useful Life (EUL) values for various non-LED lighting and related Building Efficiency Incentive (BNI) measures, including occupancy sensors, heat pads, ventilation fans, and waterers, with references to different studies and reports.
For BER-AR and SBES, the calculation methodology should be applied for each measure using projectspecific information tracked in the CIS starting in early 2025. The table below lists the fields required.
AI summary The calculation methodology for BER-AR and SBES should be applied using project-specific information tracked in the CIS starting in early 2025. The table lists the required fields.
Final Report 341 Current A lgorithm Adjuste d Algorithm Additional Products and Retirement S Savings: SO5 = (SO1 x SO2 Additional Products and Retireme SO5 = (SO1 x SO2) + (SO3 x SO4) Current Algorithm Adjusted Algorithm Attribution Level
AI summary The document presents a comparison between a current algorithm and an adjusted algorithm, focusing on the calculation of savings through additional products and retirement. The adjusted algorithm incorporates an additional term (SO3 x SO4) in the savings formula.
Table 373: Instant Rebates Distributor Influence Level Algorithm Current Algorithm Adjusted Algorithm [ASK IF B1=1-6 OR 96 OR B2=2] I'd like to learn more about what influenced your organization's decisions to use these strategies to sell...
AI summary Table 373 outlines an algorithm used to assess the influence level of distributors on the use of instant rebates for efficient products. It includes a current algorithm and an adjusted algorithm, each with questions and scales to evaluate factors like incentives, educational support, product quality, and organizational policies.