E-22023 DSM Programs Evaluation Reports
114 passages
Table 12: Evaluated Net Energy Savings at the Generator, 2018-2023 Energy Savings (GWh) Energy Savings (%) a DSM Program Program Component 2019 2020 2021 2022 2023 2019 2020 2021 2022 2023 Residential Residential Appliance Retirement 2.545...
AI summary Table 12 presents evaluated net energy savings from various DSM programs in Nova Scotia between 2018 and 2023, showing energy savings in GWh and percentages for different program components such as appliance retirement, efficient product rebates, and home energy assessments.
Components Bibliographic References Ad Hoc Recherche, Rapport d'évaluation, Programme : Produits Mieux Consommer – Électroménagers Energy Star (Années 2008 et 2009) , p. 19 ENERGY STAR, Savings Calculator for ENERGY STAR Qualified Applianc...
AI summary This section lists bibliographic references for various energy efficiency and appliance-related studies, reports, and technical manuals from multiple jurisdictions, including Nova Scotia, Ontario, Illinois, and others. These references are used to support energy efficiency programs, load forecasting, and technical standards.
Program Components Bibliographic References Nova Scotia Utility and Review Board, Matter M06555, 2014 Cost of Service Study Progress Update, Exhibit N-2.09, Appendix I1 Nova Scotia Power, Total System Emissions, https://www.nspower.ca/clea...
AI summary The text provides a list of bibliographic references and program components related to a regulatory proceeding in Nova Scotia. It includes references to studies, reports, and exhibits from the Nova Scotia Utility and Review Board, as well as data from Nova Scotia Power and the National Renewable Energy Laboratory.
Table 1: Summary of 2023 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 2023 Residential Efficient Product Rebates Program Evaluation includes components such as Appliance Retirement and Instant Savings Comprehensive, with evaluation methods involving tracking sheet audits, participant surveys, and avoided GHG emission calculations.
Table 6: 2023 ARet Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime g...
AI summary This section outlines the evaluation approach for the 2023 ARet program, focusing on calculating both gross and net results through tracking sheet audits, unitary savings reviews, and calculations using evaluation results. It also considers avoided greenhouse gas emissions.
H1. Before your recent purchase, had you at any time in the past benefitted from a discount on energy efficient products or participated in other programs offered by Efficiency Nova Scotia? 2023 2022 2021 Sample Size 122 176 118 Yes 50% 57...
AI summary The question asks if respondents had previously benefited from discounts on energy-efficient products or participated in Efficiency Nova Scotia programs. The table shows participation rates in 2021, 2022, and 2023, with a sample size and percentage of respondents who answered 'yes' or 'no'.
1.1 HEA Description HEA is a home energy evaluation-based program component that encourages homeowners to improve the energy efficiency and comfort of their home by providing them with related information and financial incentives in the fo...
AI summary The Home Energy Assessment (HEA) program provides homeowners with evaluations and rebates to improve energy efficiency. It collaborates with Natural Resources Canada and includes a CGH Grant for retrofits. The program has seen changes in assessment fees, eligibility, and eligible measures, with some incentives now solely funded by the CGH Grant.
Table 5: Implementation Status of Past Recommendations for HEA # Past Recommendations Status Comments 2021- HEA-R1 Update and simplify the tracking sheet in time for next year's evaluation to minimize the risk of calculation errors. Comple...
AI summary Table 5 outlines the implementation status of past recommendations for the Home Energy Assessment (HEA). Recommendation 2021-HEA-R1 was completed in 2023, with EfficiencyOne updating the HEA participant tracking sheet to include the Canada Greener Homes Grant, reorganizing columns, simplifying formulas, and removing obsolete information.
Wood, pellet, solar air, and smart thermostat space heating equipment is not modelled in HOT2000. Instead, energy savings are calculated based on unitary energy savings values. The detailed savings calculations are presented in the 2020-20...
AI summary The document discusses the exclusion of certain space heating equipment from HOT2000 modeling and the use of unitary energy savings values for calculating energy savings. It highlights that smart thermostats, now available through HEA due to the CGH Grant, are not modeled in HOT2000 and recommends against claiming their savings under HEA to avoid double-counting with Instant Savings.
For solar PV measures introduced through HEA with the CGH Grant, savings correspond to an offset from the electricity grid and are calculated by using a tracked unitary savings value of 1,086 kWh per kW (size of the solar PV system). This...
AI summary The Evaluator determined a unitary savings value of 1,086 kWh per kW for solar PV systems installed through HEA using data from SolarHomes participants and applied a calibration ratio of 1.009 derived from a study comparing modelled and actual production data.
Table 24: 2023 Green Heat Incentives Measure Incentive Heat Pumps Ductless Mini-split Heat Pumps $200/Refrigeration Tonne Centrally Ducted Air-source Heat Pumps $400/Refrigeration Tonne Air-to-water Heat Pumps $400/Refrigeration Tonne Grou...
AI summary Table 24 outlines the 2023 Green Heat Incentives, providing rebates for various heating measures such as heat pumps, biomass, solar thermal, and demand reduction. These incentives are funded by the federal Low Carbon Economy Fund and provincial Green Fund, and the report focuses on evaluating electrical measures only.
Contractors are less satisfied with: - › The effectiveness of the program marketing materials (average score of 5.4) mainly because they say that there is not enough marketing and only limited amounts of program materials - › The incentive...
AI summary Contractors are less satisfied with the Green Heat Elements program, citing issues with marketing materials, low incentives, outdated eligible equipment lists, and the difficulty of navigating the ENS portal.
Funding Source and Responsiveness Other differences mentioned, each by a limited number of contractors, include that Green Heat is provincially funded while the CGH Grant is federally funded, that it is easier to obtain responses to inquir...
AI summary The text highlights differences between Green Heat and the CGH Grant, noting that Green Heat is provincially funded while the CGH Grant is federally funded. It also mentions that EOne is easier to communicate with than the federal government and that the Green Heat application process is more straightforward.
23 and a small decline in 2024 for secondary system installations. 29 20230620 NSPI to NSUARB 2023 Load Forecast Report + Appendices RED (Section 4.4, p.33). 23 Until 2012, EOne provided rebates for ductless MSHPs through EnerGuide for Exi...
AI summary The text discusses the market share of heat pumps in Nova Scotia, including historical data on the number of homes with heat pump systems installed from 2015 to 2024. It also outlines changes in rebate programs for heat pumps, including the transfer of incentives to the Fuel Substitution program in 2012 and the reintroduction of incentives in 2017, supported by federal funding until 2023.
HEA Mini-split Heat Pumps HEA also provides incentives for participants who install high-performing cold-climate MSHPs as part of a retrofit. Homeowners in Nova Scotia must register under HEA to receive the CGH Grant. EOne staff manage and...
AI summary HEA provides incentives for installing high-performing cold-climate mini-split heat pumps (MSHPs) as part of energy efficiency retrofits. Homeowners must register under HEA to receive the CGH Grant, which offers up to $5,000. The number of homes with MSHP installations increased significantly in 2022 and 2023, largely due to the CGH Grant's availability.
[Figure](#page-64-0) 23 below presents the evolution of the number of MSHP systems incented through Green Heat and HEA 34 compared to an estimate of the incremental MSHP systems installed in existing homes in Nova Scotia assuming that 83%...
AI summary The text discusses the declining percentage of MSHPs incented through Green Heat and the increasing percentage through HEA, suggesting that the appeal of Green Heat is waning due to relatively low incentive levels compared to HEA, which provides access to the CGH Grant.
10.2.3 Mini-split Heat Pump Market Outlook and Trends The Evaluator asked distributors and contractors to provide inputs to evaluate the evolution of MSHP sales over the past two years and for the near future. Four of the five interviewed...
AI summary The document discusses the growth in mini-split heat pump (MSHP) sales in Nova Scotia from 2021 to 2023, driven by incentive programs, the CGH Grant, and the decreasing popularity of oil as a heating fuel. Contractors report increased demand and note challenges such as supply shortages and rising competition.
Investigate how communications between EOne and contractors and participants could be improved. Ensure that EOne provides timely responses or feedback to questions from contractors and participants. 2023 Green Heat-Finding: Participant and...
AI summary The 2023 Green Heat-Finding highlights low satisfaction with rebate amounts among MSHP participants and contractors, exacerbated by higher system costs and comparisons to CGH Grant incentives. The application form is generally easy to complete, though some participants struggle with uploading documents. Awareness of time-of-day rates is relatively high, but there is room for improvement in ETS and Green Heat participation.
Table 40: 2023 EPI List of Eligible Products Products Electrical Savings Non-electrical Savings LED Lamps Including A-types, Reflectors, and Chandeliers X - LED Nightlights X - Faucet Aerators X X Low-flow Showerheads X X Thermostatic Show...
AI summary Table 40 lists eligible products for the 2023 Efficient Product Installation (EPI) program, including LED lamps, smart thermostats, and insulation materials. The text also mentions a pilot installation of 97 smart thermostats for electric baseboards, which was paused when the installation of domestic hot water heater load controllers was paused.
Table 47: 2023 EPI Equivalent EUL and Gross Lifetime Unitary Savings Values Product Tracked Equivalent EUL Evaluated Equivalent EUL Evaluated Gross Lifetime Unitary Savings [kWh] [years] [years] Single-family Apartments LED A19 Lamps 9 W R...
AI summary Table 47 presents the 2023 EPI Equivalent EUL and Gross Lifetime Unitary Savings Values for various energy-efficient products, including LED lamps, air sealing products, and water-saving devices. The data includes both tracked and evaluated Equivalent Energy Use Life (EUL) and the gross lifetime savings in kilowatt-hours for single-family homes and apartments.
Table 48: Evaluated 2023 EPI Gross 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 476 382 16,036 304 50,07...
AI summary Table 48 evaluates the energy and peak demand savings from the Efficient Product Installation (EPI) program in single-family homes in 2023. It details energy savings per measure, including installation rates, energy interactive effects, and gross energy savings at both the meter and generator levels. The table also includes peak demand savings and associated factors.
Product Category Pipe Insulation (per foot) Hot Water Tank Wraps Retractable Clotheslines Smart Thermostats for Electric Baseboards Smart Thermostats for MSHPs Number of Units Number of Units 206 48 1 0 18 Installation Rate (%) 100% 100% 8...
AI summary The table presents data on energy savings and installation rates for various energy efficiency products, including pipe insulation, hot water tank wraps, retractable clotheslines, and smart thermostats for electric baseboards and MSHPs. It includes metrics such as unitary savings value, interactive effects factor, and gross energy savings at different points in the system.
[Figure](#page-104-0) 29 below compares the tracked and evaluated gross energy savings at the generator, while [Figure](#page-105-0) 30 further below compares the tracked and evaluated gross peak demand savings at the generator. As outline...
AI summary The text discusses figures comparing tracked and evaluated gross energy and peak demand savings from the 2023 EPI program. It notes that tracked and evaluated savings were the same for all measures, and mentions the use of a Nova Scotia-specific factor to calculate GHG emissions reductions based on EPI results.
Net savings are defined as the energy use reductions that are specifically attributable to EPI. Net savings were estimated by applying the overall NTGR to gross savings as exemplified in the following equation: Net Savings = Gross Savings...
AI summary The document defines net savings as energy use reductions attributable to EPI, calculated using the NTGR applied to gross savings. This method was used to estimate both electrical energy and peak demand savings, resulting in 5,164 tonnes of CO2 eq in annual GHG emission reductions.
Evaluated 2023 EPI Net Energy and Peak Demand Savings per Measure (Continued) Product Category Pipe Insulation Hot Water Tank Wraps Retractable Clotheslines Smart Thermostats for Electric Baseboards Smart Thermostats for MSHPs Energy Savin...
AI summary The table presents evaluated 2023 EPI net energy and peak demand savings per measure for various products, including pipe insulation, hot water tank wraps, retractable clotheslines, and smart thermostats for electric baseboards and MSHPs. It shows gross and net energy savings, line loss factors, and lifetime energy savings at both the meter and generator levels.
17 MHEEP Evaluation Approach The 2023 MHEEP evaluation comprised a condensed impact evaluation. The main objectives of the 2023 MHEEP evaluation were as follows: › Calculate gross and net MHEEP results, namely electrical first-year and lif...
AI summary The 2023 MHEEP evaluation focused on calculating gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The evaluation objectives are mapped to research questions and methods in Table 57.
20.1 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 no...
AI summary The Affordable Multifamily Housing (AMH) program provides incentives for energy retrofit projects in affordable housing and non-profit organizations, aiming to reduce energy consumption. Participants must complete a registration process and energy audit, with funding sourced from electricity ratepayers and the Province of Nova Scotia. Incentive amounts have been adjusted over time, and the program targets significant energy savings.
The annual gross savings at the generator are presented in [Table](#page-134-0) 70 below. The gross energy savings at the generator were estimated by using different line loss factors for each participant based on their rate code. This res...
AI summary The document discusses the estimation of annual gross energy savings at the generator using line loss factors for each participant based on their rate code. The line loss factors of 1.093 and 1.143 for energy and peak demand savings, respectively, were submitted to the NSUARB as part of Nova Scotia Power's 2014 Cost of Service Study Progress Update.
Table 73: 2023 ASFH 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 e...
AI summary Table 73 outlines the 2023 evaluation approach for the Affordable Single-Family Housing (ASFH) program. It includes objectives such as calculating gross and net results, research questions about data accuracy and savings, and methodologies like tracking sheet audits and savings calculations using tools such as HOT2000 and NTGR.
Table 82: Overall 2023 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit HEA Energy Savings 4,085 Participants 30.581 GWh 0.85 25.966 GWh Life...
AI summary Table 82 presents the participation levels and energy savings for various residential programs in 2023, including HEA, Green Heat, EPI, MHEEP, AMH, and ASFH. The table highlights gross and net energy savings, peak demand savings, GHG emission reductions, and effective useful life for each program.
[ASK IF OTHER EE UPGRADES INSTALLED = YES] Now I'm going to ask you to think of energy efficient upgrades [IF SOLAR PV INSTALLED – [B1I](#page-160-2)=1 OR [B4I](#page-161-0)=1 AND [(B2=](#page-160-0)2 OR [B3=](#page-160-1)1) SHOW: except S...
AI summary This section asks respondents about pre-existing plans for energy-efficient upgrades, confirmation of decisions made before evaluation, and the impact of rebates on their willingness to pay for upgrades installed through the Home Energy Assessment program.
Table 2: Free-Ridership Algorithm for Heat Pump and No Other Energy-efficient Upgrades Series A: Questions on the decision to install a heat pump already made the decision to install a high-efficiency heat pump model? IF 2. No, DK OR REF:...
AI summary This table outlines a free-ridership algorithm for heat pump installations, considering factors like rebate influence, previous participation in energy efficiency programs, and cross-influence from prior program involvement. It includes scoring mechanisms and consistency checks to assess the impact of rebates and program participation on customer decisions.
[READ [A1](#page-18-1) IF ONE EQUIPMENT (EQUIPMENT #1 ONLY) IN THE DATABSE] - A1. Our records indicate that your household installed a through the Heating System Rebates program. Is this correct? - 1. Yes [CONTINUE TO [A4]](#page-19-0) - 2...
AI summary The text is a prompt from a regulatory proceeding document asking a household if they installed a specific equipment through the Heating System Rebates program. It provides options for confirmation and further action based on their response.
[ASK E1 TO E7 IF EQUIPMENT = ELECTRIC THERMAL STORAGE] - E1. [ASK IF [A4=](#page-19-0)1] You mentioned earlier that your electricity rate with Nova Scotia Power is a timeof-day rate. Among the following three choices, which one best descri...
AI summary The text asks respondents about their decision-making process regarding a time-of-day rate with Nova Scotia Power and whether the Heating System Rebates influenced their decision, specifically in relation to electric thermal storage equipment.
E6. If there were no Heating System Rebates program, what is the likelihood that you would have postponed installing the by at least one year? 2023 MSHP Biomass ETS Sample Size 5 - - 5 MEAN 4.0 - - 4.0 Base: Respondents who installed ETS
AI summary The question asks about the likelihood of postponing the installation of heating equipment if the Heating System Rebates program did not exist. The table shows a mean response of 4.0 for ETS respondents in 2023, indicating a moderate likelihood of postponement.
RECORD (%): - C4A. [IF LOWER THAN 70% ASK] In 2021 we estimated that between 70% and 90% of MSHP sales were high-performing cold climate MSHPs. Why do you think fewer of the contractors you do business with today are selling fewer high-per...
AI summary The text includes a series of questions about the sale of high-performing MSHPs in Nova Scotia, specifically focusing on the role of Efficiency Nova Scotia's incentives and the reasons for the decline in the percentage of sales going through their programs.
Table 5: 2023 NHC Incentive Structure Home Type Tier Rebate Target Single-family 1 $2,000 40% better than code Detached Homes 2 $5,000 65% better than code 3 $7,000 + $2,000 75% better than code Net Zero Ready, Net Zero, or Passive House c...
AI summary Table 5 outlines the 2023 New Home Construction (NHC) Incentive Structure, which provides rebates based on home type and energy efficiency improvements. Higher tiers offer larger rebates for homes that meet or exceed specific efficiency targets, including Net Zero Ready, Net Zero, or Passive House certification.
2 NHC Evaluation Approach The scope of this evaluation was a condensed impact evaluation. Given the program was wound down in 2023, savings calculations are based on the parameters (e.g. overestimation ratios (ORs)) of the Home Energy Asse...
AI summary This section outlines the evaluation approach for the New Home Construction (NHC) program in 2023. The evaluation focused on calculating gross and net results, including energy savings, peak demand savings, and avoided GHG emissions, based on parameters from the Home Energy Assessment (HEA) evaluation results.
4 NHC Key Findings and Recommendations As mentioned previously, the main objectives of the 2023 NHC evaluation were as follows: › Calculate NHC gross and net results, namely electrical first-year and lifetime energy savings, peak demand sa...
AI summary The 2023 NHC evaluation found that net electrical energy and peak demand savings exceeded targets, but participation decreased by 11%. Evaluated net savings were slightly lower than those tracked by EOne due to changes in participant mix. A total of 140 homes did not meet the minimum rebate qualification in 2023, up from 75 in 2022.
Evaluation Approach The evaluation was aimed at calculating program component gross and net results, namely electrical firstyear and lifetime energy savings, peak demand savings, as well as avoided greenhouse gas (GHG) emissions. [Table](#...
AI summary The evaluation approach focuses on calculating program component gross and net results, including electrical first-year and lifetime energy savings, peak demand savings, and avoided greenhouse gas emissions. Table 1 outlines the types of evaluations conducted and their corresponding methodologies.
[Table](#page-133-0) 2 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 provides an overview of 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 2: Overall 2023 Efficient Product Rebates Participation and Evaluated Savings Participa ation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit Application Rebates • Energy Savings 227 Projects 11.406 GWh 0....
AI summary Table 2 presents the participation and evaluated savings for efficient product rebates in 2023, including energy savings, peak demand savings, GHG emission reductions, and effective useful life. It highlights both Application Rebates and Instant Rebates, with overall net savings calculated using the net-to-gross ratio (NTGR).
Table 4: Types of Evaluations Conducted for Each Program Component, 2023 Program Program Component 2023 Process Market Impact Efficient Product Rebates BER Condensed For each program component, the Evaluator prepared a DSM evaluation repor...
AI summary Table 4 outlines the types of evaluations conducted for each program component in 2023, including Efficient Product Rebates (BER) and the preparation of DSM evaluation reports detailing energy savings and GHG emissions.
1.1 BER Description BER provides financial incentives in the form of prescriptive rebates or financing to business, non-profit, and institutional (BNI) participants to foster reductions in electricity consumption and peak demand. All busin...
AI summary The Business Energy Rebates (BER) program provides financial incentives to BNI participants in Nova Scotia to reduce electricity consumption and peak demand. The program offers prescriptive rebates and financing, with two services: Application Rebates and Instant Rebates. Specific criteria must be met for eligibility, and rebate amounts were increased in 2022 and 2023 to boost participation. The program aims to achieve significant energy and demand savings by 2023.
Table 5: Implementation Status of Past Recommendations for BER # Past Recommendations Status Comments 2018 BER-R3 Investigate ways to liaise more clients with non lighting contractors. Complete In the second quarter of 2022, EOne conducted...
AI summary Table 5 outlines the implementation status of past recommendations for the Business Energy Rebates (BER) program. Recommendation BER-R3 from 2018 suggested investigating ways to connect more clients with non-lighting contractors. EOne has conducted surveys and participated in training sessions to address this, and the Evaluator considers these steps sufficient.
2 BER Evaluation Approach The 2023 BER evaluation comprised a condensed impact evaluation. The main objectives of the 2023 BER evaluation were as follows: › Calculate gross and net BER results (for both Application Rebates and Instant Reba...
AI summary The 2023 BER evaluation focused on calculating gross and net results, including energy savings and GHG emissions, for both Application and Instant Rebates. Research questions, methods, and sample sizes were outlined in a table to achieve these objectives.
Table 6: 2023 BER Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime gr...
AI summary The document outlines the evaluation approach for the 2023 Business Energy Rebates (BER) program, focusing on calculating gross and net results through tracking sheet audits, energy calculations, and GHG emission reductions.
GHG Emission Reduction Calculations To obtain net avoided GHG emissions in CO2 eq for BER, the Evaluator multiplied the net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity production. Thi...
AI summary The GHG emission reduction calculations for the BER program involved multiplying net energy savings by a Nova Scotia-specific factor for GHG emissions from electricity production, derived from NS Power data.
Table 7: 2023 Application Rebates Adjustment Ratios Measure Category Energy Savings Peak Demand Savings Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error Lighting 0.993 6.7% 0.841 7.5% HVAC 1.002 0.3% 1.000 2.1% Variable Fr...
AI summary Table 7 presents 2023 Application Rebates Adjustment Ratios for various energy efficiency measures, including lighting, HVAC, and others, along with their respective margins of error. These ratios are used to adjust rebate amounts based on estimated energy and peak demand savings.
4.2 Gross Savings For Instant Rebates, gross savings refer to changes in energy consumption resulting from actions taken by participants regardless of their reasons for participating. 11 Since the identification of eligible measures for pa...
AI summary The section discusses how gross savings for Instant Rebates are calculated based on changes in energy consumption, using assumptions and specific equations for different measure types. It mentions the use of parameters like baseline wattages, ballast factors, and peak coincidence factors, and references the 2020-2023 Measure Assessment for detailed calculations.
4.2.3 Peak Demand Savings As part of the 2020-2023 Measure Assessment activities, the Evaluator established a PCF of 60% for indoor lighting measures. This percentage constitutes the weighted average PCF of all indoor lighting measures ins...
AI summary The Evaluator established a Peak Capacity Factor (PCF) of 60% for indoor lighting measures based on weighted averages from 2022 installations through Application Rebates and SBES. Outdoor measures and circulator pumps had a PCF of 100%, assuming operation during peak demand periods.
Table 16: Evaluated 2023 Instant Rebates Gross Energy and Peak Demand Savings Measure Category LED Linear Fixtures LED Linear Lamps LED Outdoor Fixtures LED Directional and Architectural Fixtures Outdoor Motion Sensors Indoor Occupancy/ Mo...
AI summary Table 16 presents evaluated 2023 instant rebates gross energy and peak demand savings across various measures, including LED fixtures, motion sensors, and circulator pumps. The table includes energy savings, adjustment ratios, in-service rates, and peak demand savings, providing a detailed breakdown of savings at the meter and generator levels.
Table 17: Evaluated 2023 Instant Rebates Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 36.639 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annua...
AI summary Table 17 presents the evaluated 2023 instant rebates gross GHG emission reductions, showing energy savings and corresponding carbon emissions reductions in Nova Scotia. The table includes total gross energy savings, the GHG emissions factor for electricity production, and the resulting annual GHG emission reductions.
5 Overall BER Results As outlined in [Figure](#page-164-2) 12, BER exceeded its electrical energy and peak demand savings targets by 29% and 13% respectively. Figure 12: 2023 BER Targets and Evaluated Savings [Table](#page-164-1) 22 compar...
AI summary The Business Energy Rebates (BER) program exceeded its 2023 electrical energy and peak demand savings targets by 29% and 13%, respectively, as outlined in Figure 12. Table 22 compares tracked savings by EOne to evaluated savings and realization rates.
6 BER Key Findings and Recommendations The main objectives of the 2023 BER evaluation were as follows: › Calculate gross and net BER energy savings, namely electrical first-year and lifetime energy savings, peak demand savings, as well as...
AI summary The 2023 BER evaluation found that BER exceeded its energy savings and peak demand savings targets by 29% and 13%, respectively. Instant Rebates participation increased by 19%, while Application Rebates participation decreased by 21%, though energy savings per participant increased. Evaluated savings were nearly identical to tracked results by EOne.
APPENDIX III BER 2023 Recommendations The Evaluator made no specific recommendation as part of the 2023 evaluation of BER. 2475, Laurier boul., Suite 250 Quebec City, QC G1T 1C4 Canada Tel.: 418-692-2592 Fax: 418-692-4899
AI summary The Evaluator did not make any specific recommendations as part of the 2023 evaluation of the Business Energy Rebates (BER) program.
Table 2: Overall 2023 Custom Incentives Participation and Savings Participation Level Gross Savings NTGR Net S Net Savings Value Unit Value Unit Value Unit Value Custom Energy Savings Projects Completed 28.377 GWh 0.77 21.746 GWh Lifetime...
AI summary Table 2 summarizes the 2023 Custom Incentives Program's participation and savings, showing that the program nearly met its energy savings target but fell short of its peak demand savings target. The table includes metrics like energy savings, GHG emission reductions, and EUL.
Pay-for-Performance (P4P) - Financial support for reductions in electricity consumption achieved through a variety of capital and behavioural energy efficiency upgrades - •Incentives are based on verified facility energy performance - Orga...
AI summary The Pay-for-Performance (P4P) program provides financial support for electricity consumption reductions through energy efficiency upgrades. Eligibility is based on annual consumption and project-generated savings. Savings claims are categorized into partial, single-year, and multiyear projects, with adjustments applied in 2023. Combined programs aim for 22.730 GWh of net energy savings and 5.280 MW of peak demand savings in 2023.
Table 5: Implementation Status of Past Recommendations for Custom # Recommendations Status Comments 2021 Retrofit-R2 Develop and implement a process to identify project types more suited to quasi-prescriptive approaches (including solar PV...
AI summary The table discusses the implementation of a 2021 recommendation to develop processes for quasi-prescriptive approaches in specific project types such as solar PV and compressed air leaks. EOne worked with the Evaluator to establish protocols, including standardized savings assumptions and eligibility criteria for solar projects, which were implemented in 2022 and 2023.
Table 6: 2022 Custom Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Are the gross savings calculated for a sample...
AI summary This section outlines the 2022 Custom Evaluation Approach, which includes evaluating the completeness and accuracy of data, verifying gross savings calculations, and reviewing EUL values for energy efficiency projects. Various methodologies such as tracking sheet audits, site visits, and energy model reviews are employed to ensure the accuracy of evaluations.
3.1.2 Participant Recruiting Interviewed consultants reported multiple avenues through which Retrofit projects are initiated. For the most part, consultants initiate the discussion with their clients about participating in Retrofit (n=7),...
AI summary Consultants reported that Retrofit projects are typically initiated by consultants, clients, or EOne. Half of the consultants help clients decide between BER and Retrofit, with EOne providing guidance. Consultants have mixed views on Retrofit's impact on their business, with some seeing benefits and others not.
Participant Perspectives Among Retrofit participants, the top barrier to implementing energy efficiency projects is cost or a poor return on investment (n=5). Project costs are addressed by Retrofit incentives, although participants and co...
AI summary Retrofit participants identified cost and poor return on investment as the primary barriers to implementing energy efficiency projects. Other challenges include a lack of project management resources, trained workforce, equipment supply issues, and limited awareness of incentive programs. Financial constraints such as debt caps and uncertain returns on investment were also mentioned.
Table 15: Evaluated 2023 Retrofit GHG Gross Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 21.178 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annual GHG E...
AI summary Table 15 presents evaluated 2023 retrofit greenhouse gas (GHG) emission reductions, showing gross energy savings, a Nova Scotia-specific GHG emissions factor, and resulting annual GHG emission reductions. The data supports analysis of energy efficiency programs' environmental impact.
2023 Retrofit Finding: The primary barriers to implementing energy efficiency projects are the costs and insufficient returns on investment of energy efficiency projects. This challenge impacts the majority of Retrofit participants. Other...
AI summary The primary barriers to implementing energy efficiency projects are the high costs and insufficient returns on investment. While program incentives and supports exist, they are not well communicated in the Retrofit program logic model. Energy savings assumptions are mostly consistent, but there are some discrepancies, particularly in the treatment of NTGR for compressed air leak audit and repair projects. Custom-specific adjustment ratios for solar PV projects have also been established.
9.1 SEM Description In 2023, SEM and Energy Management Information Systems (EMIS) were merged into one program component. Previously, SEM and EMIS were offered as separate program components. SEM provides industrial and institutional parti...
AI summary The Strategic Energy Management (SEM) program, merged with Energy Management Information Systems (EMIS) in 2023, supports industrial and institutional participants in implementing energy management practices. Eligible participants receive funding and support for energy-saving actions, audits, and training, with the goal of achieving continuous energy savings and improving long-term energy performance.
Table 32: Implementation Status of Past Recommendations for SEM # Recommendations Status Comments 2022 SEM – R1 Investigate the impact of interruptible load rates on peak demand savings and, if needed, implement changes to peak demand savi...
AI summary The document discusses the implementation status of past recommendations related to the Service Efficiency Measure (SEM). Key actions include investigating interruptible load rates, including rationale in M&V reports, and conducting process evaluations for SEM and Custom Retrofit. These actions were completed with collaboration from EOne and NS Power.
Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 3.391 GWh 1.00 3.391 GWh 100% Evaluation Results 3.381 GWh 1.00 3.381 GWh Peak Demand Savings Tracked Savings by EOne...
AI summary The table compares tracked and evaluated energy and peak demand savings from the Strategic Energy Management (SEM) program in 2023. It shows gross and net savings by EOne and evaluation results, with realization rates indicating the efficiency of the program.
Table 39: Overall 2023 Custom Incentives Participation and Evaluated Savings Participation Level Gross Gross Savings Net Savings 28.377 GWh 0.77 21.746 GWh
AI summary Table 39 provides an overview of the 2023 Custom Incentives Participation and Evaluated Savings, showing gross participation at 28.377 GWh and net savings at 21.746 GWh.
Program Participation Process (For Reference) - › A participant might ask for a scoping study, which is eligible to a Custom Retrofit incentive, to identify opportunities to save electricity. Otherwise, the participant might already be awa...
AI summary The program participation process outlines steps for participants to access energy efficiency incentives, including scoping studies, feasibility studies, project applications, and implementation of energy efficiency measures with subsequent incentive payments.
The reviewer must verify the model following guidance defined in the tab "Modelling Review Checklist". Description from project documentation Virtual visit, call or document As modeled by participant Changes to model by Econoler Descriptio...
AI summary The document contains a table and simulation outputs related to energy consumption and demand modeling, including baseline and proposed scenarios, energy savings tracking, and adjustments made by Econoler. The content focuses on modeling and verification processes.
Table 4: Type of Evaluation Conducted for SBES, 2023 Program 2023 Program Component Process Market Impact Direct Installation SBES X - Comprehensive For each program, the Evaluator prepared a DSM evaluation report presenting key findings,...
AI summary Table 4 outlines the evaluation conducted for the Small Business Energy Solutions (SBES) program in 2023. The evaluation focused on direct installation and included a DSM evaluation report that detailed energy savings, peak demand savings, and GHG emissions reduction.
1.1 Description SBES offers incentives and resources to Nova Scotia small businesses to encourage them to make energy efficient upgrades in their facilities. To be eligible, businesses must consume less than 350,000 kWh in electricity annu...
AI summary SBES provides energy efficiency incentives and resources to small businesses in Nova Scotia, with eligibility based on annual electricity consumption. It offers two participation paths: Audit and DIY, with increased incentive amounts and extended project completion timelines since 2020. EOne also launched a CDI pilot in 2021 for direct installation of energy-efficient products.
3.2.1 Participants Participants were asked to rate the extent to which certain factors posed barriers to installing energy efficiency upgrades in their businesses. As outlined in [Table](#page-182-1) 9 below, financial challenges and lack...
AI summary Participants identified financial challenges and lack of funds as the most significant barriers to installing energy efficiency upgrades in their businesses, followed by time constraints and long application processing times. Information and technical support, as well as qualified contractors, were also noted as important factors. Concerns about rebate availability and upgrade effectiveness were minor barriers.
Table 12: Participant Suggestions to Improve SBES Participant Recommendations to Improve SBES 2017 2019 2021 2023 Sample Size 70 50 50 46 Offer financing/help with cost 1% - 4% 63% Offer more measures eligible for rebates 4% 10% 2% 15% Inc...
AI summary Table 12 outlines participant recommendations for improving the Small Business Energy Solutions (SBES) program from 2017 to 2023. The data shows a significant increase in the percentage of participants suggesting the need for financing options, with 63% in 2023 compared to 1% in 2017. Other recommendations include increasing rebates, improving marketing, simplifying the program, and enhancing communication.
Table 13: Reasons for Dissatisfaction Factor Assessed Reasons for Dissatisfaction/What Could Be Improved (#) n=7 The time for projects to be › Time required for pre-approval is too long/pre-approval generally takes up to six weeks and as m...
AI summary The table outlines reasons for dissatisfaction with the SBES program, including long processing times, unclear rebate amounts, limited measures, and cumbersome application processes. Contractors, however, find the program valuable for promoting deep retrofit projects.
equired adjustments due to a different fan model installed than what was specified in the tracking sheet; therefore, energy and peak demand savings were increased by a factor of 2.54 for that project. Significant changes were made to certa...
AI summary The document discusses adjustments made to energy and peak demand savings due to the installation of a different fan model and changes in renewable generation parameters. It also outlines how savings are calculated differently for various programs and the application of adjustment ratios for the 2023 evaluation.
Table 14: 2023 SBES 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 Lighting 1.070 5.3% 0.917 8.9%...
AI summary This section discusses adjustments made to energy and peak demand savings in the 2023 SBES program. Lighting and HVAC measures had specific adjustment ratios, while HVAC models were reviewed for cold climate performance. The Evaluator also updated HSPF and SEER metrics to align with new regulations.
Figure 11 and Figure 12 below compare tracked gross savings to evaluated gross savings for energy and [peak dem](#page-198-0)and [savings re](#page-198-1)spectively. Evaluated gross energy savings are about 3% above tracked values, primari...
AI summary The text compares tracked and evaluated gross savings for energy and peak demand, noting a 3% and 1% difference respectively due to adjustments in lighting and HVAC measures. GHG emissions reductions were calculated using Nova Scotia-specific factors derived from Nova Scotia Power's 2022 data.
0-10 SCALE WITH END POINT LABELS– RECORD NUMBER - 98. Don't know - 99. Refused - D4. [IF TOTAL ENS REBATE >0 AND FINANCING=YES] Efficiency Nova Scotia provided your business with a rebate of $ and a loan for the energy-efficient lighting u...
AI summary The text presents survey questions related to the impact of the Small Business Energy Solutions program on business decisions regarding energy-efficient lighting upgrades, including rebate and financing influences and awareness of product certifications.
C3. [IF C1<>1] IF YOUR BUSINESS HAD NOT RECEIVED THE FREE AUDIT OF YOUR FACILITY BY A CERTIFIED ENERGY AUDITOR, WOULD YOU HAVE IDENTIFIED THE OPPORTUNITY FOR THE ENERGY-EFFICIENT UPGRADES THAT YOU INSTALLED? No answer to this question in 2...
AI summary The text asks businesses whether they would have identified energy-efficient upgrades without a free audit and whether they would have paid for these upgrades without a rebate. No responses were provided in 2023.
Base: Respondents who had an audit and received a rebate and financing for the energy-efficient upgrades C6. If there was no program rebate, no financing, and no audit, what is the likelihood that you would have installed less efficient eq...
AI summary The question asks respondents about the likelihood of installing less efficient equipment or retaining old equipment if there were no program rebate, financing, or audit available for energy-efficient upgrades.
C9D. The program on-bill financing 2023 2021 Sample Size 1 0 MEAN 10.0 Mean excludes responses of 'Don't know' and 'Refused'
AI summary The document presents a table showing the on-bill financing program's sample size and mean values for 2023 and 2021. The mean value for 2023 is 10.0, and the sample size for 2021 is 0. The data excludes responses of 'Don't know' and 'Refused'.
Base : DIY respondents who received a rebate D4. Efficiency Nova Scotia provided your business with a rebate of $ and a loan for the energy-efficient lighting upgrades. If your business had not received the rebate and 0% financing from Eff...
AI summary The question asks DIY respondents who received a rebate from Efficiency Nova Scotia to rate on a scale of 0 to 10 whether they would have paid and financed the cost of energy-efficient lighting upgrades without the rebate and 0% financing.
Base : DIY respondents who received a rebate and financing
AI summary The text refers to DIY respondents who received a rebate and financing, likely in the context of a program or initiative offering financial incentives for energy efficiency or related activities.
Base: Respondents who received on bill financing
AI summary The text refers to respondents who received on-bill financing, indicating a discussion related to financial mechanisms used to support energy efficiency or other programs.
F4I. The time it took for the program to process the paperwork and pay your rebate 2023 Sample Size 46 MEAN 8.2 Mean excludes responses of 'Not applicable', 'Don't know/Don't recall' and 'Refused'
AI summary The average time taken for the program to process paperwork and pay rebates in 2023 was 8.2 days, based on a sample size of 46 responses, excluding non-applicable and refused responses.
F5. Do you have any recommendations for improving the Small Business Energy Solutions program? Anything else? 2023 Sample Size 46 Offer financing/help with cost 63% Offer more measures eligible to rebates 15% Increase rebates 9% Monitor th...
AI summary The Small Business Energy Solutions (SBES) program received feedback from 46 respondents in 2023. The majority (63%) suggested offering financing or help with costs, while other recommendations included expanding eligible measures, increasing rebates, improving application monitoring, enhancing marketing, and simplifying the program.
Table 1: FR – Audit Path C3. If your business had not received the free audit of your facility by a certified energy auditor, would you have identified the opportunity for the energy efficient upgrades that you installed? IF 1. Yes: EMPTY...
AI summary The table outlines an audit path for evaluating the impact of energy efficiency programs on businesses, focusing on whether they would have identified and funded energy-efficient upgrades without program support.
Table 1: SO – site visit SO1. Have you installed additional energy efficiency measures other than those implemented through this program? IF 1. Yes: CONTINUE IF 2. No OR DK OR REF: END SO2. Did you receive, or plan on requesting, financing...
AI summary The table outlines a survey process to assess additional energy efficiency measures taken by participants beyond the program, including financing sources, influence of the program, and quantification of spillover savings. The appendix refers to 2023 recommendations for the Small Business Energy Solutions Program.
Table 25: Interactive Effects Factors for Pipe Insulation and Hot Water Tank Wraps 35 Table 26: Interactive Effects Factors for Water Heating Measures36 Table 27: Peak Demand-to-energy Ratios for Water Heating Measures 38 Table 28: Drain W...
AI summary The text presents a series of tables detailing energy savings values for various energy efficiency measures, including pipe insulation, hot water tank wraps, drain water heat recovery systems, heat pump water heaters, low-flow showerheads, faucet aerators, thermostatic shower valves, and space heating measures such as mini-split and ground-source heat pumps. These tables provide data on unitary energy savings, peak demand-to-energy ratios, and installation rates for efficiency programs.
Table 72: Electrical Unitary Energy Savings Calculation for Smart Thermostats for Electrical Heating Systems87 Table 73: Interactive Effects Factors for Appliances89 Table 74: Peak Demand-to-energy Ratios for Appliances 90 Table 75: Clothe...
AI summary The document contains a series of tables related to energy savings calculations and measure summaries for various energy efficiency programs, including smart thermostats, clotheslines, refrigerators, freezers, room air conditioners, dehumidifiers, clothes dryers, and plug load control measures.
Table 116: ENERGY STAR Certified Pool Pump Measure Summary 127 Table 117: Unitary Savings Values of ENERGY STAR Certified Pool Pumps 128 Table 118: Three-element Water Heater Measure Summary 129 Table 119: Domestic Water Heater Timer Measu...
AI summary The document contains a series of tables summarizing energy efficiency measures, including ENERGY STAR certified pool pumps, three-element water heaters, domestic water heater load control, LED lamps, linear LED fixtures, outdoor LED fixtures, directional and architectural LED fixtures, and occupancy/motion sensors. These tables provide measure summaries, unitary savings values, baseline wattages, and other relevant data.
Table 1: Measure Assessment Change Log Change Type Section Description Date Update 2.2.3(7) Pipe Insulation Update EUL value 2023-03-09 New Measure 2.3.3(10) Smart Thermostats for Electrical Heating Systems Renamed from the smart thermosta...
AI summary This document details updates and new measures in the Measure Assessment Change Log, including changes to EUL values, renaming of measures, and the addition of new measures such as smart thermostats for electrical heating systems and compressed air leak repairs, all dated March 9, 2023.
Change Type Section Description Date New Measure 3.6 (1) Variable Frequency Drives for non-HVAC Applications Added variable frequency drives for non HVAC fans and pumps applications since this measure was added to the BER Application Rebat...
AI summary The document details updates and changes to energy efficiency programs, including new measures such as variable frequency drives for non-HVAC applications and window film kits, as well as updates to savings values based on recent data and removal of certain measures no longer incented as of 2022.
Table 2: Included Measures Program Components Residential Lighting EPI LED Lamps Instant Savings LED Fixtures Instant Savings Dimmer Switches Instant Savings Motion Sensors Instant Savings LED Nightlights EPI Water Heating Solar Domestic H...
AI summary This table outlines various program components offered under different initiatives in Nova Scotia, including residential lighting, water heating, space heating, appliances, and energy efficiency measures. Each component is associated with specific programs such as Instant Savings, Green Heat, and EPI, highlighting the range of energy efficiency and conservation efforts being implemented.
Table 4: Proportion of Lighting Products Used Indoors Type of Product Program Component % Indoor Source A-type LED Lamps 7 97% 2021 EPI Tracking Sheet Reflector and Decorative LED Lamps 8 (Except PAR38) EPI 100% 2021 EPI Evaluation (on-sit...
AI summary Table 4 provides data on the proportion of various lighting products used indoors, including LED lamps, fixtures, and motion sensors. The data comes from various sources such as tracking sheets, evaluations, and studies, with some percentages based on assumptions.
Table 7: LED Lamp Measure Summary Parameter EPI Instar nt Savings Reference Measure Description and d Identification Measure Description LED Lamps to reduce el ectricity consump otion. Additional Notes A-type, Reflector, and Decorative LED...
AI summary Table 7 provides a summary of LED lamp measures, including installation rates, energy savings, and interactive effects factors for different programs like EPI and Instar. It outlines the varying savings based on lamp types and wattages, as well as the impact on peak demand and energy efficiency.
Table 8: Electrical Unitary Savings Values for LED Lamps Type of LED Old Wattage (W) New Wattage (W) Displaced Wattage (W) Operating Hours (hrs/day) Unitary Savings Value (kWh/year) EPI 9 W Replacing 25 W 25 9 16 15.8 9 W Replacing 29 W 29...
AI summary Table 8 presents the electrical unitary savings values for LED lamps, detailing the displaced wattage and annual energy savings for various LED replacements. This data is crucial for assessing energy efficiency improvements in lighting programs.
Table 9: Electrical Unitary Savings Values for LED Lamps Unitary Energy Type of LED Savings Value (kWh/year) Peak Demand-to energy Ratio (W/kWh) Unitary Peak Demand Savings Value (W/year) EPI 9 W Replacing 25 W 15.8 0.162 2.56 Type of LED...
AI summary Table 9 presents electrical unitary savings values for various LED lamps, including energy savings in kWh/year and peak demand savings in W/year. The table includes different types of LED lamps and their corresponding savings when replacing traditional bulbs.
Table 20: LED Nightlight Measure Summary Parameter EPI Reference Measure Description and Identification Measure Description and Identification Measure Description LED nightlights to reduce electricity consumption N/A Additional Notes - Gen...
AI summary Table 20 provides a summary of the LED nightlight measure under the EPI program, including parameters like installation rate, effective useful life, and energy savings. The table references specific subsections for detailed calculations and assumptions.
Table 36: Faucet Aerator Measure Summary Parameter EPI Reference Measure Description and Ide Measure Description and Identification Measure Description Faucet aerators to red water consumption uce domestic hot N/A Additional Notes Single-f...
AI summary Table 36 provides a summary of the Faucet Aerator Measure under the Efficient Product Installation (EPI) program. It outlines parameters such as installation rate, effective useful life, and energy savings, including unitary energy savings and peak demand savings.
Parameter Symbol Value for Single-family Homes Value for Apartments Source Number of Faucets per Household n faucets 3.1 2.0 Single-family homes: EPI 2021 onsite visits Apartments: assumption Specific Heat of Water [BTU/lb°F] Срн20 1 Conve...
AI summary The document presents a table with parameters related to water heater energy usage and savings for single-family homes and apartments. It references the EPI Mail-out pilot and uses unitary savings of 110 kWh/year for single-family homes, as they are the most common participants in the EPI program.
The electrical unitary energy savings values of the window kit measure are calculated using the equations below. $$Energy \, Savings \, (kWh) = ES_{sealing} + ES_{insulation}$$ $$ES_{sealing} = \frac{n_{window} \times p_{window} \times ESP...
AI summary The document outlines the calculation of energy savings for window film kits installed through EPI, using equations that factor in sealing and insulation. Values are adjusted based on HDD ratios and specific technical references from Connecticut and Iowa.
on 2022 participant survey data. 119 111 Econoler, Residential Efficient Product Rebates Program – 2017 DSM Evaluation , Final Report presented to Efficiency Nova Scotia, March 15, 2018. 112 Natural Resources Canada, EnerGuide appliance di...
AI summary The text references survey data and various regulatory and technical documents related to energy efficiency, including evaluations of rebate programs and energy conservation standards for refrigeration appliances.
Table 127: Linear LED Fixture Measure Summary Parameter BER Instant Rebates Reference Measure Description and Identification Measure Description Linear LED fixtures Additional Notes - N/A General Parameters In-service Rate 100% See details...
AI summary Table 127 outlines the parameters for BER Instant Rebates related to Linear LED Fixtures, including in-service rate, effective useful life, energy savings, and peak demand savings. The table provides details on unitary energy savings, peak coincidence factor, and interactive effects factors for both recessed and non-recessed fixtures.
Table 130: Linear LED Lamp Measure Summary Parameter BER Instant Rebates Reference Measure Description and Identification Measure Description Linear LED lamps Additional Notes - N/A General Parameters In-service Rate 85% See details below...
AI summary Table 130 summarizes the parameters for Linear LED Lamp Measure, including in-service rate, effective useful life, energy savings, and peak demand savings. It provides details on unitary energy savings, peak coincidence factor, and interactive effects factors for both recessed and non-recessed lamps.
Table 131: Electrical Unitary Savings Values for Linear LED Lamps Parameter Value Source Baseline Wattage [W] N/A Based on specification data for each rebated unit. See Table 132 below Ballast Factor 0.88 Assumption for normal ballast fact...
AI summary The document presents two tables related to energy savings from linear LED lamps, including baseline wattage and unitary savings values. The tables are used to calculate energy savings for rebate programs. The In-Service Rate section is mentioned but not elaborated upon.
Parameter Value Source Baseline Wattage [W] N/A Based on specification data for each rebated unit. (See Table 135 for wall-mounted area luminaires and Table 136 for architectural and flood spot luminaires New Wattage [W] N/A Based on watta...
AI summary The table provides parameters for calculating electrical unitary savings values for outdoor LED fixtures, including baseline and new wattage, and hours of operation. Values are based on specification data and assumptions about usage.
Table 140: Occupancy/Motion Sensor Measure Summary Parameter BER Instant Rebates Reference Measure Description and Identification Measure Description Occupancy/N Motion sensors Additional Notes Ceiling or wall remote-mounted wall switch Fi...
AI summary Table 140 provides a summary of occupancy and motion sensor measures, including parameters such as energy savings, useful life, and demand savings. It references various subsections and calculations related to energy efficiency and savings factors.
Parameter Type of Occupancy Sensor Value Source Ceiling or Wall Remote-Mounted 220 Average connected wattage for Connected Wattage (W) Fixture Mounted or Wall Switch 128 occupancy/motion sensors installed through BER-AR and SBES from 2018...
AI summary The document provides data on the connected wattage and energy savings of occupancy/motion sensors installed through the BER-AR and SBES programs from 2018 to 2020. It also notes that exterior motion sensors are based on data from the 2015 Efficiency Vermont TRM.
Measure Name Program Component EUL Value Source Plug Load Controls Smart Power Controllers for Audiovisual Equipment/Load Sensing Power Bars (Smart Strips) EPI, Instant Savings 4 David Rogers, PowerSmart Engineering "Smart Strip Electrical...
AI summary The document presents a table listing various energy efficiency measures, their associated programs, Energy Use Life (EUL) values, and sources. It includes examples such as smart power controllers, timers, and water heater controls, along with their respective EULs and supporting documentation.
Measure Name Program Component EUL Value Source New Construction (NC) For NC projects, since the savings calculation is based on a modelling approach, the EUL values are established by end-use categories found in the simulation software. T...
AI summary The document outlines Energy Use Life (EUL) values for various energy efficiency measures in new construction and building optimization projects. These values are based on modeling approaches, simulation software, and industry standards, with sources including NREL and SBW Consulting.
APPENDIX II DETAILED CALCULATIONS OF 2023 EQUIVALENT EUL VALUES FOR LED LAMPS AND FIXTURES This appendix presents how the equivalent effective useful life (EUL) of LED lamps and fixtures were calculated for applicable measures in the EPI,...
AI summary This appendix explains the calculation of equivalent effective useful life (EUL) for LED lamps and fixtures in the EPI, Instant Savings, and SBES programs. The EUL is determined by dividing the manufacturer-rated lifetime by the annual HOU values used to calculate unitary savings.
Table 187: Equipment Life Value per LED Lamp and Fixture Types LED Lamp and Fixture Type Program Component Average Rated Lifetime Hours (hours) 222 Equipment Life (years) LED A19 Lamps 25,000 986 25 LED Reflector Lamps EPI 25,000 986 25 LE...
AI summary Table 187 provides equipment life values for various LED lamp and fixture types, including their average rated lifetimes and corresponding equipment life in years. The data is based on manufacturer specifications for models installed through the Efficient Product Installation (EPI) program in 2017.