E-22024 DSM Programs Evaluation Reports
126 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 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.
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.
› 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 for building maint...
AI summary Financial barriers and lack of budget are primary reasons for participant withdrawal from programs, with most dropped-out participants citing unavailable funds for maintenance and efficiency upgrades. Affordable Multifamily Housing participants also highlighted low rental rates and ad-hoc repair approaches. Co-funding and low-interest financing are proposed as critical support mechanisms.
Table 15: 2024 Recommendations on Residential Program Components No. Recommendation Residential DR – R1 Gather and analyze the Eco Shift Pilot data again in 2025 to improve the unitary available DR capacity value accuracy and ensure it is...
AI summary The document outlines several recommendations for residential energy programs in 2024, including re-analyzing data from the Eco Shift Pilot to improve demand response capacity accuracy and validating LED baseline evaluations for energy rebate programs.
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.
Table 1: Summary of 2024 Residential Efficient Product Rebates Program Evaluation Program Evaluation Type Component Impact Process Market Methodology Appliance Retirement Condensed › Tracking sheet audit › Unitary savings review › Calculat...
AI summary The 2024 Residential Efficient Product Rebates Program Evaluation includes assessments of the Appliance Retirement and Instant Savings components. The evaluation uses methods such as tracking sheet audits, unitary savings reviews, and GHG emission reduction calculations. The Instant Savings component also includes participant surveys and market effects analysis.
Table 15: List of 2024 Rebates by Product Products Offered During Campaigns Rebate During Spring Campaign Rebate During Fall Campaign ENERGY STAR® Certified LED Lights Non-A-series (single & multipacks) Up to 70% off package price Up to 80...
AI summary Table 15 outlines the 2024 rebate amounts for various energy-efficient products offered during spring and fall campaigns, as well as those available year-round. Rebates range from 65% off package prices to fixed amounts per unit, with specific incentives for LED lighting, thermostats, and appliances.
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.
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.
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.
- 1. [INCLUDE IF [D5=](#page-142-4)1] Earlier - 2. Definitely on the same day - 3. Probably on the same day - 4. Probably at a later date - 5. Definitely at a later date - 6. Would not have purchased them at all [SKIP TO H SECTION] - D10....
AI summary The document contains a series of questions related to customer behavior regarding LED bulb purchases and installation, including rebate influence and expected installation rates. These questions are part of a survey or proceeding to assess program effectiveness.
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.
1.1 AMH Description AMH provides affordable housing owners and non-profit organizations, such as rehabilitation or transition houses, with incentives for building-wide energy retrofit projects with the intent of reducing electrical and non...
AI summary AMH provides incentives for energy retrofits in affordable multifamily housing and non-profits, requiring energy audits unless using a prescriptive path. Funding comes from electricity ratepayers and the Province of Nova Scotia, with incentive amounts adjusted over time. The program targets 1.900 GWh in electrical savings and 1.581 MW in peak demand reduction by 2024.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. De efinitio ns. iii Ta able of Co ntents vi E kecutiv e S Summary x Evalua atio n Approach X Progra am I Performance X BER F Find lings and Recommendations xi P...
AI summary The text outlines definitions and sections of an evaluation report focusing on the Business Energy Rebates (BER) program. It discusses the evaluation approach, including participant awareness, satisfaction, and the tracking of savings, as well as the use of adjustment ratios and effective useful life in assessing program performance.
Table 1: Summary of 2024 Efficient Product Rebates Program Evaluation Program Component Evaluation Type Impact Process Market Methodology BER Comprehensive (Instant Rebates) Condensed (Application Rebates) X X › Instant Rebates participant...
AI summary This table summarizes the evaluation of the 2024 Efficient Product Rebates Program, focusing on the Business Energy Rebates (BER) component. It outlines the evaluation types, including impact, process, and market, and details the methodologies used, such as participant surveys, distributor interviews, tracking sheet audits, and GHG emission reduction calculations.
[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.
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.
2 BER Evaluation Approach The 2024 BER-AR evaluation included a condensed impact evaluation, while the BER-IR evaluation included a comprehensive impact evaluation as well as a process evaluation and market evaluation. The main objectives...
AI summary The 2024 BER evaluation aimed to collect participant and distributor perspectives, calculate gross and net BER results, and analyze the evolution of the BNI lighting market. It included both condensed and comprehensive impact evaluations, as well as process and market evaluations.
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.
Efficient Product Rebates Program 8 Evaluation Objectives Research Questions Methodology Analyze the evolution of the BNI lighting market › How has the BNI lighting market evolved in Nova Scotia since 2021? › To what extent are LED product...
AI summary This section evaluates the evolution of the BNI lighting market in Nova Scotia since 2021, focusing on the availability of LED products compared to non-LED products and the implications of an updated baseline for E1's BNI lighting programs. The research methodology includes surveys, distributor interviews, and market characterization studies.
3.3 Distributor Satisfaction with Instant Rebates Distributors (n=10) were asked to express their level of satisfaction with various aspects of Instant Rebates using a 10-point scale where 1 means "Not at all satisfied" and 10 means "Very...
AI summary Distributors expressed high satisfaction with Instant Rebates, with an average score of 8.3 out of 10. Satisfaction with service support and communications was even higher at 9.3. However, some dissatisfaction arose due to the maturity of LED technology and time-intensive administrative tasks.
Table 6: 2024 Distributor Satisfaction with Instant Rebates (10-point Scale) Distributors Mean Overall Service 8.3 10 Service Support and Communications provided by E1 9.3 10 Rebate Processing, Tracking, and Reporting 8.4 10 \ Scale: 1 = N...
AI summary Table 6 presents 2024 distributor satisfaction scores with instant rebates on a 10-point scale, with overall service receiving a mean score of 8.3, service support and communications from E1 scoring 9.3, and rebate processing, tracking, and reporting receiving 8.4.
Table 7: 2024 Distributor Sales Strategies Used for Qualifying LED Products Number of Distributors Using the Strategy (n=10) Distributor Sales Strategies LED Linear Fixtures LED Linear Lamps LED Outdoor Fixtures Promote the E1 rebate in an...
AI summary The table outlines the 2024 sales strategies used by distributors for qualifying LED products, highlighting the promotion of rebates, upselling LED products, and marketing efforts. Other strategies included bundled pricing, raffles, and training workshops, with some differences in focus between LED linear fixtures, lamps, and outdoor fixtures.
Distributors' desire for increased sales and profits had the greatest influence on their sales strategy choices for qualifying LED products, closely followed by product quality or value. The incentives offered by E1 were also an important...
AI summary Distributors prioritize sales and profits when selecting LED products, with incentives from E1 and product quality also playing significant roles. ENS's educational efforts had minimal influence on increasing LED lighting sales in 2024.
Table 8: 2024 Influences on Distributors' Sales Strategies Very/Somewhat Influential (n=10) LED Linear Fixtures LED Linear Lamps LED Outdoor Fixtures Your company's interest in increasing your sales and profits 10 10 9 Quality or value of...
AI summary Table 8 highlights factors influencing distributors' sales strategies in 2024, focusing on LED products and incentives. Key factors include company interest in sales and profits, product quality, incentives from E1, and support for sustainability. Educational and promotional efforts by ENS have a lesser impact.
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.
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.
Rebate Values As outlined in [Table](#page-77-2) 27, the average rebate values under Instant Rebates have remained relatively steady for all measure categories since 2022. This is in part due to E1 capping incentives either at a set maximu...
AI summary The average rebate values under Instant Rebates for LED fixtures and lamps have remained steady since 2022, partly due to E1 capping incentives at a set maximum or 75% of unit price, whichever is lower.
CONCLUSION Table 29 presents the participation levels, net-to-gross ratios (NTGRs), evaluated gross and net savings at the generator, annual GHG emission reductions, as well effective useful life (EUL) values for each service and Efficient...
AI summary Table 29 summarizes participation levels, net-to-gross ratios, evaluated gross and net savings, annual GHG emission reductions, and effective useful life values for each service and Efficient Product Rebates as a whole.
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.
D5. Had you already decided to purchase these before talking to a distributor? Already Made Decision to Purchase Product Before Talking to a Distributor 2022 2024 Sample Size 5 (#) Definitely/Probably would have 3 Probably/Definitely would...
AI summary The text presents survey data on customer purchasing behavior related to efficient lighting products, including whether customers decided to purchase before contacting a distributor and the impact of rebate programs on purchase likelihood and timing.
D12. How influential were the following four factors in your decision to purchase ? \ 2024 Influence of Factors in Decision to Purchase Efficient Product Sample Size Vey/Somewhat influential Not very/Not at all influential The program reba...
AI summary This table assesses the influence of four factors on customers' decisions to purchase efficient products in 2024. The program rebate had the highest influence (89% very/somewhat influential), followed by the prevalence of LED products, information from distributors, and information from Efficiency Nova Scotia program representatives.
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.
G4. What was the most important reason you were not more satisfied with the program overall? Any other reasons? Most Important Reason Not More Satisfied with BER Overall 2019 2020 2021 2022 2024 Sample Size 7 (#) 12 (#) 5 (#) 7 (#) 2 (#) D...
AI summary The document presents survey results from participants in the Business Energy Retrofit (BER) program, highlighting reasons for dissatisfaction and suggestions for improvement. Key issues include rebate size, program consistency, paperwork, and communication, while suggestions focus on increasing rebates, simplifying processes, and improving marketing.
[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.
D12. How influential were the following four factors in your decision to purchase ? [RANDOMIZE] Factor (READ AND RANDOMIZE) Responses a. [ASK IF D1=1 OR D2=2] The program rebate 1. Very influential 2. Somewhat influential 3. Not very influ...
AI summary This section asks respondents about the influence of various factors in their decision to purchase an efficient product, including program rebates, information from Efficiency Nova Scotia, information from distributors, and the prevalence of LED products. It includes response options for each factor.
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 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. Effective Useful Life Evaluated Gross Savings et Savings Evaluated Net Savings ealization Rate Key Findings and Recommendations l endices LIST O App endices LIS...
AI summary The document defines key terms and includes a list of figures and indices related to energy efficiency programs, retrofit participation, and savings evaluations from 2016 to 2024. It outlines various metrics and visual representations of program performance and outcomes.
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.
APPENDIX II Retrofit Algorithm for Free-Ridership Calculation Question Answer Score 98/99) Don't know/Refused 50% Planning Score C1 Cost Efficiency Nova Scotia gave your organization a rebate of $ for the [Investigation or Feasibility] stu...
AI summary The text discusses the impact of financial incentives on the payback period for energy efficiency projects, including rebate amounts and the likelihood of project implementation without incentives. It includes responses from participants regarding the effectiveness of these incentives.
Table 1: Participant Interview Questionnaire and Free-ridership Algorithm Question Answer Score I would like to understand the impact of the financial incentives offered by Reduced the cost of the energy efficiency measures, significantly...
AI summary The table explores the impact of financial incentives from Efficiency Nova Scotia on energy efficiency measures in new building projects. It includes responses indicating that incentives significantly reduced costs and influenced decisions to include energy efficiency measures.
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.
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 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.
a) SBES Small Business Energy Solutions The program offers eligible small businesses in Nova Scotia access to energy assessments, energy efficiency contractors, rebates and financing for the installation of energy efficient upgrades. [Retr...
AI summary The Small Business Energy Solutions (SBES) program provides eligible small businesses in Nova Scotia with energy assessments, access to energy efficiency contractors, rebates, and financing for energy-efficient retrofits. Rebates cover up to 80% of project costs, and pre-approval is required for upgrades.
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 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 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.
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 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.
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 112: Humidity Sensor for Bathroom Exhaust Fan Summary Parameter Instant Savings, EPI Reference Measure Description and Identification Measure Added humidity sensors on existing bathroom exhaust fans with direct installation - Baselin...
AI summary Table 112 details the installation of humidity sensors on existing bathroom exhaust fans as part of the Efficient Product Installation (EPI) program. The measure includes parameters such as energy savings, peak demand savings, and the effective useful life of the sensors, with references to specific subsections for further details.
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 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 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 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 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 165: Horticultural Lighting Measure Summary В ER-AR Measure Description Horticultural after installat lighting rebated ion -
AI summary Table 165 outlines a horticultural lighting measure summary, including details on rebate programs and after-installation considerations. The table includes columns labeled 'В', 'ER-AR', and a third unnamed column, with information on lighting rebates and other related measures.
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 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 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.
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 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 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 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 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.
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.
$$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.
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.
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.