E-22023 DSM Programs Evaluation Reports
188 passages
Table 5: Comparison of 2023 Evaluated and Tracked Energy Savings at the Generator a Tracked Results Evaluated Results DSM Program Program Component Annual Gross Savings (GWh) Annual Net Savings (GWh) Annual Gross Savings (GWh) NTGR b Annua...
AI summary Table 5 compares the evaluated and tracked energy savings for various demand-side management (DSM) programs in 2023. The table highlights the gross and net annual energy savings, net-to-gross ratios, lifetime net energy savings, and net realization rates for residential and BNI programs, showing overall energy efficiency achievements.
Efficient Product Rebates Efficient Product Rebates is comprised of one program component, Business Energy Rebates, which is further comprised of two services, namely Application Rebates and Instant Rebates. In 2023, Business Energy Rebate...
AI summary The Efficient Product Rebates program, specifically the Business Energy Rebates component, achieved significant energy and demand savings in 2023, with 38.814 GWh in net energy savings and 6.014 MW in net peak demand savings.
Table 11: 2023 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 presents the 2023 planned net savings and evaluated results for various energy efficiency and demand response programs in Nova Scotia. It highlights performance variances between planned and actual outcomes, such as the Home Energy Assessment program exceeding planned savings by 74% and the Appliance Retirement program underperforming by 16%.
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 Retirement 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.nspo...
AI summary The document provides bibliographic references related to program components such as retirement and instant savings. It cites studies, reports, and regulations from various organizations, including the Nova Scotia Utility and Review Board, Emera Inc., 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.
Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit ARet Energy Savings 4,260 Appliances 3.010 GWh 0.56 1.698 GWh Lifetime Energy Savings 12.008 GWh 0.56 6.776 GWh Peak Demand Savings 0.430 MW 0.56 0.2...
AI summary The Residential Efficient Product Rebates program exceeded its 2023 energy savings and peak demand savings targets by 16% and 35%, respectively, largely due to Instant Savings being the primary contributor. The program achieved 13.174 GWh in net energy savings and 1.702 MW in net peak demand savings.
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.
Figure 4: 2023 Tracked and Evaluated Gross Energy Savings at the Generator As presented in [Table](#page-84-2) 11, gross GHG emission reductions were calculated by applying the Nova Scotiaspecific factor 11 for GHG emissions generated by e...
AI summary The document references Figure 4 and Table 11, which present 2023 tracked and evaluated gross energy savings at the generator and calculate gross GHG emission reductions using a Nova Scotia-specific factor applied to ARET gross savings.
The Evaluator determined the net energy and peak demand savings, that is the electrical energy and peak demand savings that can be reliably attributed to the program component, by establishing the NTGR for each appliance type. For ARet, th...
AI summary The Evaluator calculated net energy and peak demand savings by determining the Net Total Gross Reduction (NTGR) for each appliance type, accounting for free-ridership and secondary market impacts. The methodology aligns with the Uniform Methods Project (UMP) guidelines for refrigerator recycling evaluations, considering gross unitary energy savings and adjusting for spillover effects.
3.3.4 Evaluated Net Savings Net savings represent the savings that can be reliably attributed to a program component. For ARet, net savings are calculated by applying the NTGR values to gross savings as illustrated in the following equatio...
AI summary Net savings are calculated using NTGR values applied to gross savings, resulting in 937 tonnes of CO2 eq in annual GHG emission reductions. This calculation is specific to the ARet program component.
4 ARet Key Findings and Recommendations The 2023 ARet evaluation included a condensed impact evaluation and its main objectives were as follows: › Calculate gross and net ARet results, namely electrical first-year and lifetime energy savin...
AI summary The 2023 ARet evaluation found that the program fell short of its energy savings and peak demand targets by 16% and 13%, respectively. Participation levels were the lowest since 2012, with refrigerator and freezer retirements remaining the main drivers of savings. Evaluated net savings were 9% higher than those tracked by EOne due to updated unitary savings from appliance retirements.
5.1 Instant Savings Description Instant Savings offers instant cash rebates to consumers who purchase eligible energy-efficient products. Instant Savings is delivered with the help of one Delivery Agent (DA), Summerhill Group Inc., as well...
AI summary Instant Savings provides instant cash rebates for energy-efficient products in Nova Scotia, managed by a Delivery Agent and retailers. New products added in 2023 include ENERGY STAR certified dishwashers and bathroom fans. Rebates are offered in seasonal and year-round campaigns.
8.2.2 Unitary Energy Savings For ENERGY STAR certified LED lamps and fixtures, the unitary savings values were updated to include the wattage values of the most popular products sold in 2023. It should be noted that for R, BR, and decorati...
AI summary The document discusses updates to unitary energy savings values for ENERGY STAR certified LED lamps and fixtures, including adjustments based on market availability and regulations. It also introduces unitary savings values for ENERGY STAR certified dishwashers. The Evaluator recommends reviewing certain lamp models for potential phase-out in 2024 due to market conditions.
8.2.3 Unitary Peak Demand Savings Peak demand savings correspond to the demand savings that coincide in time with the peak demand period of the electricity system. The projected electricity peak demand period in Nova Scotia is between 5 p....
AI summary This section discusses unitary peak demand savings, which occur during the peak demand period in Nova Scotia (5 p.m. to 7 p.m. from December to February on non-holiday weekdays). The Evaluator developed these savings for each measure, and differences between tracked and evaluated savings reflect updates to unitary energy savings. A table summarizes the values for products installed through Instant Savings in 2023.
8.2.5 Effective Useful Life The Evaluator validated the EUL values based on the 2020–2023 Measure Assessment. The EUL values are used in the calculation of electrical energy savings that are expected to persist over time. The baseline for...
AI summary The Evaluator validated Equivalent Useful Life (EUL) values based on the 2020–2023 Measure Assessment, which are used in calculating electrical energy savings over time. The baseline for LED lamps was updated in 2022 to reflect the shift away from compact fluorescent lamps, with EUL values applied to calculate gross and net lifetime energy savings.
[Figure](#page-108-0) 8 and [Figure](#page-109-0) 9 below compare the tracked unitary electrical energy and peak demand savings to the evaluated gross savings. Both sets of savings values include adjustments to account for interactive effe...
AI summary The text discusses comparisons between tracked unitary electrical energy and peak demand savings and evaluated gross savings, highlighting the impact of LED fixture revisions. It also mentions the calculation of GHG emissions reductions using a Nova Scotia-specific factor applied to Instant Savings gross savings.
Table 31: 2023 Instant Savings Net-to-Gross Ratios Product Category Free-Ridership Level Margin of Error Spillover Net-to-Gross Ratio LED Lamps 59% 5.9% 9% 0.50 LED Fixtures 49% 6.0% 2% 0.53 All Other Products 0 0 0 1.00 8.3.4 Evaluated Ne...
AI summary Table 31 presents the 2023 Instant Savings Net-to-Gross Ratios for different product categories, including LED lamps, LED fixtures, and all other products. The table highlights free-ridership levels, margins of error, spillover effects, and net-to-gross ratios for these categories.
Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 15.409 GWh 0.86 13.290 GWh 86% Evaluation Results 15.512 GWh 0.74 11.476 GWh Peak Demand Savings Tracked Savings by EO...
AI summary The table provides data on energy and peak demand savings tracked by EOne and evaluation results, including gross savings, net savings, and realization rates. It highlights the performance of energy efficiency programs and their impact on savings.
CONCLUSION [Table](#page-121-1) 34 presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well effective useful life (EUL) values for each Residential Efficient Produc...
AI summary Table 34 summarizes participation levels, NTGRs, evaluated gross and net savings, annual GHG emission reductions, and effective useful life (EUL) values for the 2023 Residential Efficient Product Rebates program, both by component and overall.
Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit ARet Energy Savings 4,260 Appliances 3.010 GWh 0.56 1.698 GWh Lifetime Energy Savings 12.008 GWh 0.56 6.776 GWh Peak Demand Savings 0.430 MW 0.56 0.2...
AI summary The Residential Efficient Product Rebates program exceeded its 2023 targets for net electrical energy and peak demand savings by 16% and 35%, respectively. Instant Savings was the primary contributor to these achievements. The table details energy savings, peak demand savings, GHG emission reductions, and equivalent useful life across different program components.
Table 1: 2023 ARet Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value ARet Gross Energy Savings at the Generator 2.773 GWh 2.773 GWh -0.03% Gros...
AI summary Table 1 presents the 2023 ARet Corrected Tracked Savings, showing minimal differences between tracked and corrected values. Minor discrepancies are attributed to incorrect equations, net-to-gross ratios, and rounding methods used by the Evaluator.
Table 1: 2023 Instant Savings Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Value Unit Value Unit Value Instant Savings Gross Energy Savings at the Generator 15.346 GWh 15.409 GWh 0.41% G...
AI summary Table 1 presents corrected tracked savings for the 2023 Instant Savings program, showing minor adjustments due to corrections in product type, measure codes, and the net savings formula. These changes had a positive and minor negative impact on gross and net energy and peak demand savings.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Equivalent CO2 A unit of measurement indicating the amount of carbon dioxide to which various kinds of emitted greenhouse gases are equivalent in terms of warmi...
AI summary The document defines key terms related to energy efficiency and evaluation processes, including accuracy, equivalent CO2, equivalent effective useful life, evaluated savings, evaluation plan, and first-year savings. These definitions support the analysis and measurement of energy efficiency programs.
Table 2: 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 Lifet...
AI summary The table presents 2023 participation levels and evaluated savings for various residential energy efficiency programs in Nova Scotia, including energy savings, GHG emission reductions, and effective useful life (EUL). The data highlights the performance of different programs such as Home Energy Assessment (HEA), Green Heat, Efficient Product Installation (EPI), Mi'kmaw Home Energy Efficiency Project (MHEEP), Affordable Multifamily Housing (AMH), and Affordable Single-family Homes (ASFH).
Program Tracked and Evaluated Savings [Table](#page 1-1) 3 below compares EOne tracked energy and peak demand savings to evaluated savings at the generator. It also includes the realization rate, representing the ratio of evaluated net sav...
AI summary The table compares energy and peak demand savings tracked by EOne to evaluated savings at the generator, including realization rates and NTGRs, which are rounded averages of net savings divided by gross savings.
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.
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.
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.
13 EPI Evaluation Approach The 2023 EPI evaluation comprised a condensed impact evaluation. The main objectives of the 2023 EPI evaluation were as follows: › Calculate gross and net EPI results, namely electrical first-year and lifetime en...
AI summary The 2023 EPI evaluation focused on calculating gross and net energy savings, peak demand savings, and avoided GHG emissions. Key research questions were identified to achieve these objectives, with methods outlined in Table 41.
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 LED Lamps 18 W Replacing 100 W PAR20 7 W Replacing 50 W PAR38 15 W Replacing 90 W PAR38 15 W Replacing 120 W PAR38 15 W Replacing 150 W Number of Units Number of Units 1,169 5,380 303 72 1,458 Installation Rate (%) 94% 94%...
AI summary The table presents energy savings data for various LED lamp products, including installation rates, energy savings values, and adjustments. It includes metrics such as gross energy savings, peak demand savings, and factors like interactive effects and line loss, which are calculated based on installation data and weighted averages.
Thermostatic Low-flow Showerheads Product Category Faucet Aerators Shower Valves 2.5 gpm 0.5 gpm Reduction 0.75 gpm Reduction 1.0 gpm Reduction Number of Units Number of Units 4,165 599 252 108 2,633 Installation Rate (%) 85% 88% 96% 96% 9...
AI summary The text presents a table detailing energy savings and peak demand reductions from the installation of various water efficiency products, including thermostatic faucets, aerators, and low-flow showerheads. The table includes metrics such as number of units installed, energy savings, and peak demand savings at both the meter and generator levels.
Table 49: Evaluated 2023 EPI Gross 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 17 22 363 8 1,672 6 630 0 Install...
AI summary Table 49 evaluates the 2023 EPI Gross Energy and Peak Demand Savings per Measure for apartments, including data on LED lamps, installation rates, energy savings, and peak demand savings. The table also includes factors like energy interactive effects, line loss factors, and effective useful life for each product category.
Product Category LED Lamps 18 W Replacing 100 W PAR20 7 W Replacing 50 W PAR38 15 W Replacing 90 W PAR38 15 W Replacing 120 W PAR38 15 W Replacing 150 W Number of Units Number of Units 21 68 0 0 3 Installation Rate (%) 94% 94% 94% 94% 94%...
AI summary The table presents data on LED lamp installations, including energy savings, installation rates, and peak demand savings across different product categories. It includes metrics such as unitary savings value, interactive effects factor, and line loss factor. The data shows minimal energy savings and peak demand savings for the various LED lamp types.
LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 7 W Replacing 40 W E12 5 W Chandelier Replacing 40 W Number of Units Number of Units 780 10 66 94 137 Installation Rate (%) 94% 94% 94% 94% 94% Numb...
AI summary The table presents energy savings data for various LED lamp products, including installation rates, unitary savings values, and interactive effects factors. It highlights energy savings at the meter and generator levels, as well as peak demand savings, for different product categories.
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.
Air Sealing Products – Electric Resistance Heating Product Category Foam Gaskets Door Sweeps Window Air Sealing Window Film Kits Door Weather Stripping Number of Units Number of Units 178 2 22 111 21 Installation Rate (%) 31% 100% 84% 33%...
AI summary The table presents data on energy savings and installation rates for various air sealing products used with electric resistance heating, including foam gaskets, door sweeps, and window air sealing. It includes metrics such as unitary savings value, gross energy savings, and effective useful life for each product category.
Table 51: Evaluated 2023 EPI Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 9.481 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annual GHG Emissio...
AI summary Table 51 presents evaluated 2023 EPI Gross GHG emission reductions, showing 5,233 tonnes of CO2 eq reduced annually. The data relies on Nova Scotia Power's 2022 emissions and generation figures, as 2023 data were not yet available at the time of writing.
Table 54: 2023 EPI Net-to-gross Ratios by Product Category EPI LED Lamps Low-flow Showerheads Other Products Non-low income Participants Low-income Participants Non-low income Participants Low-income Participants Non-low income Participant...
AI summary Table 54 presents the 2023 EPI Net-to-gross Ratios by product category, showing varying ratios for different participant types and product categories. The data includes NTGR values and the proportion of gross savings by participant type, with overall NTGR values provided for reference.
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.
18.3.1 Evaluated Net Savings Net savings are defined as the energy savings specifically attributable to MHEEP. Since spillover and freeridership effects were considered nil, the net MHEEP impacts are equal to the gross savings generated by...
AI summary The MHEEP achieved 0.577 GWh and 0.373 MW in net energy and peak demand savings, respectively. It fell short of its energy savings target by 5% but exceeded its peak demand savings target by 24%. GHG emission reductions are equal to the gross annual reductions due to no spillover or freeridership effects.
22.2.4 Effective Useful Life Using the EUL values presented in the 2020-2023 Measure Assessment and the proportion of measures implemented through AMH in 2023, the Evaluator revised the EUL values for comprehensive projects. For prescripti...
AI summary The document discusses the revision of Effective Useful Life (EUL) values for energy efficiency measures, using data from the 2020-2023 Measure Assessment and the proportion of measures implemented through AMH in 2023. It outlines how EUL values were calculated for both prescriptive and comprehensive projects, resulting in an AMH average EUL value of 17.4 years.
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.
26.2.5 Evaluated Gross Savings The modelled and non-modelled measure annual gross savings at the meter are presented in [Table](#page-146-0) 77 and [Table](#page-146-1) 78 below respectively. As presented in [Table](#page-122-0) 63 above,...
AI summary The document discusses evaluated gross savings, presenting modelled and non-modelled measure annual gross savings at the meter and generator. Line loss factors provided by NS Power are used to estimate savings at the generator, corresponding to values submitted to the NSUARB in the 2014 Cost of Service Study Progress Update.
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.
HEA incentives originate from two sources of funding and are thus reported to two different parties via the 2022 DSM Evaluation and 2021/22 Province of Nova Scotia (PNS) Evaluation Reports. The DSM evaluation is focused on reporting electr...
AI summary HEA incentives are funded through two sources and reported in two evaluations: the 2022 DSM Evaluation and the 2021/2022 Province of Nova Scotia (PNS) Evaluation Reports. EOne developed equations to avoid double counting and properly attribute savings, especially with the inclusion of the Canada Greener Homes Initiative as a co-funder.
Table 1: Reporting Requirements for Different Energy Savings Scenarios 1 Scenarios 1 2 3 4 Change in Overall Electrical Energy Consumption Increase Increase Decrease Decrease Change in Overall Non-electrical Energy Consumption Increase Dec...
AI summary Table 1 outlines reporting requirements for different energy savings scenarios, distinguishing between changes in electrical and non-electrical energy consumption, reporting obligations, equations used to calculate DSM and PNS savings, and the rationale for each scenario.
B. Awareness and Motivations for Participating - B1. How did you first become aware of the Heating System Rebates program? [DO NOT READ. SINGLE RESPONSE] - 1. In-store signage - 2. Retailer flyer - 3. Email - 4. Through a contractor or ins...
AI summary The text outlines survey questions about awareness and motivations for participating in the Heating System Rebates program, including how respondents learned about the program and their reasons for participation, such as energy savings, comfort, and environmental concerns.
Table 1: 2023 Green Heat Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value Green Heat Gross Energy Savings at the Generator 5.281 GWh 5.561 GWh...
AI summary Table 1 presents the 2023 Green Heat Corrected Tracked Savings, showing adjustments in energy and peak demand savings due to changes in baseline calculations and heating capacity values for wood stoves and mini-split heat pumps. These adjustments were made based on the primary and secondary heating sources and values from the NEEP Cold Climate Heat Pump list.
Table 2: 2023 EPI Corrected Tracked Savings Value Tracked by EOne Corrected Tracked Value Relative Difference Program Component Results Value Unit Value Unit Value EPI Gross Energy Savings at the Generator 9.455 GWh 9.481 GWh 0.3% Gross Pe...
AI summary Table 2 presents the 2023 EPI Corrected Tracked Savings, comparing original and corrected values for energy and peak demand savings. The Evaluator made adjustments to unitary savings, interactive effects, installation rates, and COP values, resulting in small differences in overall savings results.
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.
Table 6: 2023 NHC Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Were the savings correctly and consistently calcu...
AI summary The document outlines the evaluation approach for 2023 New Home Construction (NHC), focusing on calculating gross and net results through tracking sheet audits and using the net-to-gross ratio (NTGR) results from 2020. It includes research questions related to data accuracy, savings calculations, and GHG emissions.
Table 11: Evaluated 2023 NHC GHG Gross Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 5.868 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annual GHG Emissio...
AI summary Table 11 presents evaluated 2023 NHC GHG gross emission reductions, showing 5.868 GWh of gross energy savings, a GHG emissions factor of 551.9 tonnes of CO2 eq/GWh, and 3,238 tonnes of CO2 eq annual GHG emission reductions.
Table 14: Evaluated 2023 NHC Net Energy and Peak Demand Savings Total Energy Savings Gross Energy Savings – at the Meter (GWh) 5.360 NTGR 0.90 Net Energy Savings – at the Meter (GWh) 4.824 Line Loss Factor 1.095 Net Energy Savings – at the...
AI summary Table 14 presents the evaluated 2023 NHC net energy and peak demand savings, showing gross and net energy savings, line loss factors, and effective useful life. NHC exceeded its energy and peak demand savings targets by 68% and 80%, respectively.
Table 15: Comparison of 2023 NHC Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 5.868 GWh 0.91 5.340 GWh 99% Evaluatio...
AI summary Table 15 compares the 2023 NHC tracked and evaluated savings at the generator. Energy and peak demand savings tracked by EOne were identical to evaluated gross savings, but net savings were 1% lower due to a slight decrease in the NTGR value from differences in participant homeowner and builder mix.
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.
Table 1: 2023 NHC Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value NHC Gross Energy Savings – at the Generator 5.847 GWh 5.868 GWh 0.36% Gross...
AI summary The table and text discuss the corrected tracked savings for the 2023 NHC program. Gross energy savings increased slightly, while gross peak demand savings increased by 22% due to a change in methodology. Net energy savings remained unchanged, but net peak demand savings decreased slightly due to the removal of a participant with negative energy savings but positive peak demand savings.
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 3: Comparison of 2023 Tracked and Evaluated Savings at the Generator Gross Savings Net Savings Realization Rate Value Unit Value Unit Energy Savings Tracked Savings by EOne 48.166 GWh 0.81 38.907 GWh 100% Evaluation Results 48.045 GW...
AI summary Table 3 compares 2023 tracked and evaluated energy and peak demand savings at the generator level. Tracked savings by EOne and evaluation results are presented in GWh and MW, with realization rates and net-to-gross ratios (NTGR) noted. Different NTGRs apply to Application Rebates and Instant Rebates.
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.
1.2 Follow-up on Past Evaluation Report Recommendations The Evaluator evaluated BER in previous years and issued improvement recommendations. [Table](#page-137-1) 5 below provides a summary of the implementation status of past recommendati...
AI summary The Evaluator has assessed the Business Energy Rebates (BER) program and provided improvement recommendations. Table 5 outlines the implementation status of past recommendations, with only one from 2022 still in progress.
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.
BER Overall As presented in [Figure](#page-142-0) 7 below, BER generated a total of 48.045 GWh in gross energy savings at the generator in 2023, which represents a 5% increase compared to 2022 results and a return to 2021 levels. In 2023,...
AI summary In 2023, the Business Energy Rebates (BER) program achieved 48.045 GWh in gross energy savings, a 5% increase from 2022 and a return to 2021 levels. Peak demand savings also increased by 4%, primarily driven by savings from LED linear lamps and fixtures under the Instant Rebates component.
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.
3.2.1 Adjustment Ratios [Table](#page-145-4) 7 outlines the adjustment ratios applied in the 2023 evaluation. These ratios were all established using 2022 project review results with the exception of the lighting measure category whose rat...
AI summary Table 7 outlines adjustment ratios used in the 2023 evaluation, which were mostly based on 2022 project review results, except for the lighting measure category that retained 2021 values.
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.
3.2.4 Evaluated Gross Savings The savings achieved for each Application Rebates measure category are presented in [Table](#page-148-0) 9 below. Both energy and peak demand savings were revised by applying the adjustment ratios discussed in...
AI summary The document discusses the calculation of energy and peak demand savings for rebate measures, using line loss factors and adjustment ratios. It references the 2014 Cost of Service Study Progress Update and the final 2023 tracking sheet for data.
Table 10: Evaluated 2023 Application Rebates Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 11.406 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross A...
AI summary Table 10 presents the evaluated 2023 application rebates gross GHG emission reductions, including energy savings, emissions factor, and annual emission reductions. Section 3.3 discusses net savings, though the content is not detailed in the provided text.
Table 13: Evaluated 2023 Application Rebates Net Energy and Peak Demand Savings Measure Category Agriculture Commercial Kitchen Compressed Air DHW HVAC Lighting Energy Savings Gross Energy Savings – at the Meter (GWh) 0.185 0.011 0.001 0.0...
AI summary Table 13 presents the evaluated 2023 application rebates for net energy and peak demand savings across various measure categories. The table includes data on gross and net energy savings, net-to-gross evaluation (NTGR), line loss factors, and lifetime energy savings for each category. This information is used to assess the effectiveness of energy efficiency programs.
Gross Savings Net Savings Realization Rate Value Unit Value Unit Energy Savings Tracked Savings by EOne 11.483 GWh 0.74 8.498 GWh Evaluation Results 11.406 GWh 0.74 8.440 GWh 99% Peak Demand Savings Tracked Savings by EOne 1.854 MW 0.74 1....
AI summary The document presents energy and peak demand savings tracked and evaluated by EOne, with slight differences attributed to the use of updated HSPF2 and SEER2 values in evaluations. The realization rates for both energy and peak demand savings are 99% and 100%, respectively.
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.
Table 20: Evaluated 2023 Instant Rebates Net 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 /Moti...
AI summary Table 20 presents the evaluated 2023 Instant Rebates Net Energy and Peak Demand Savings across various measures. It includes gross and net energy savings, line loss factors, effective useful life, and net lifetime energy savings, as well as peak demand savings at the meter and generator levels.
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.
Table 22: Comparison of 2023 BER Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Unit Energy Savings Tracked Savings by EOne 48.166 GWh 0.81 38.907 GWh 100% Evaluation Results...
AI summary Table 22 compares the 2023 BER tracked and evaluated savings at the generator level, showing energy and peak demand savings by EOne and evaluation results, along with NTGR values 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.
Table 2: 2023 Instant Rebates Corrected Tracked Savings - Lighting Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value Instant Rebates - Lighting Gross Energy Savings – at...
AI summary Table 2 presents corrected tracked savings for the 2023 Instant Rebates Lighting program. The gross and net energy savings at the generator were less than 1% lower than the corrected values, attributed to inconsistent interactive effects factors for energy savings.
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.
SEM Findings and Recommendations This section provides the key findings and recommendations from the SEM evaluation. The recommendations are also outlined in Appendix XIX. 2023 SEM-Finding: SEM achieved 3.381 GWh in net electrical energy s...
AI summary The 2023 SEM evaluation found that the program achieved energy savings above targets, with high participant satisfaction. However, it lacks metrics for capital project realization and faces barriers like time commitment and staffing. Recommendations include tracking capital projects and improving communication on energy management's value.
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.
4 Retrofit Impact Evaluation The objectives of the 2023 Retrofit impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as EUL and associated lifetime energy sav...
AI summary The 2023 Retrofit impact evaluation aimed to assess electrical energy and peak demand savings, annual GHG emissions avoided, and EUL. Retrofit includes partial savings, single-year projects, and multiyear projects, with specific numbers of projects achieving savings in each category.
4.1 Tracking Sheet Audit To ensure service results were reliably compiled, the Evaluator first performed a tracking sheet audit aimed at verifying the completeness and consistency of the data submitted by EOne. The verification and correct...
AI summary The Evaluator conducted a tracking sheet audit to verify the completeness and consistency of data submitted by EOne, ensuring reliable compilation of service results. Corrective actions taken are detailed in Appendix IV, leading to the presentation of corrected tracked savings results.
Table 13: Example of a 2023 True-up Adjustment 2022 2023 Total Tracked Savings (kWh) 838,744 1,032,154 1,870,898 Year-specific Adjustment Ratio 0.916 1.017 Revised Savings Prior to True-up (kWh) 768,290 1,049,701 1,817,990 Total Project Re...
AI summary Table 13 illustrates a 2023 true-up adjustment, showing tracked savings and the application of adjustment ratios to revise energy savings. Table 14 outlines overall evaluated gross savings for Retrofit projects, using adjustment ratios from Table 12 and true-up adjustments for multiyear projects completed in 2023. Line loss factors based on the 2014 Cost of Service Study Progress Update were used in calculating savings at the generator.
As presented in [Table](#page-23-0) 15 below, GHG emissions reductions were calculated by applying the Nova Scotiaspecific factor 15 for GHG emissions generated by electricity production to Retrofit gross savings. 15 At the time of writing...
AI summary The document discusses the calculation of GHG emissions reductions based on Nova Scotia-specific factors derived from Nova Scotia Power's 2022 emissions and electricity generation data. It also references line loss factors and effective useful life (EUL) calculations for retrofit projects.
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.
4.3.4 Evaluated Net Savings Net savings are defined as changes in energy use that are specifically attributable to Retrofit. Net Retrofit impacts are calculated by applying the NTGR value to gross savings as illustrated in the following eq...
AI summary Net savings from Retrofit projects are calculated using the NTGR value applied to gross savings. The Evaluator used NTGRs for each project category and adjusted multiyear projects completed in 2023 to ensure net savings align with gross project savings multiplied by the appropriate NTGR. The average EUL was set to 7.0 years, resulting in 9,239 tonnes of CO2 eq in annual GHG emission reductions.
4.4 Realization Rate [Table](#page-27-0) 20 below compares the total tracked and evaluated savings for Retrofit. It also includes the realization rate, representing the ratio of evaluated net savings to tracked net savings, for both energy...
AI summary This section discusses the realization rate for Retrofit, comparing total tracked and evaluated savings, and includes line loss factors and effective useful life (EUL) calculations. Each retrofit project has specific line loss factors and EUL values based on participant rate codes.
5.2.5 Evaluated Gross Savings The 2023 gross energy and peak demand savings calculated for New Construction are presented in [Table](#page-31-0) [21](#page-31-0) below. They were obtained by applying the average adjustment ratios of 0.829...
AI summary This section discusses the calculation of 2023 gross energy and peak demand savings for new construction, using average adjustment ratios and line loss factors provided by NS Power, as referenced in a 2014 study.
Table 21: Evaluated 2023 New Construction Gross Energy and Peak Demand Savings Final Savings for Projects Fully Claimed in 2023 Number of Projects 15 Energy Savings Tracked Gross Energy Savings – at the Meter (GWh) 7.465 Adjustment Ratio f...
AI summary Table 21 presents the evaluated 2023 new construction gross energy and peak demand savings, including metrics such as energy savings, adjustment ratios, line loss factors, and effective useful life. These figures are used to calculate GHG emissions reductions based on Nova Scotia-specific factors.
Table 24: Evaluated 2023 New Construction Net Energy and Peak Demand Savings Final Savings for Projects Fully Claimed in 2023 Energy Savings Gross Energy Savings – at the Meter (GWh) 6.189 NTGR 0.69 Net Energy Savings – at the Meter (GWh)...
AI summary Table 24 presents the evaluated 2023 new construction net energy and peak demand savings, including gross and net savings at both the meter and generator levels, along with the effective useful life and line loss factors. These metrics are used to assess the impact of energy efficiency programs.
[Table](#page-34-0) 25 below compares the total tracked and evaluated savings for New Construction. It also includes the realization rate, representing the ratio of evaluated net savings to tracked net savings, for both energy savings and...
AI summary Table 25 compares total tracked and evaluated savings for New Construction in 2023, including realization rates for energy savings and peak demand savings at the generator level.
6.2.4 Evaluated Gross Savings [Table](#page-37-0) 26 below presents the overall evaluated gross savings for Building Optimization, which were obtained by applying project-specific adjustments to energy and peak demand savings as a result o...
AI summary This section discusses the calculation of evaluated gross savings for Building Optimization projects, including the use of adjustment ratios, line loss factors, and references to studies provided by NS Power. Peak demand savings were not tracked but were calculated and added to gross savings.
Table 26: Evaluated 2023 Building Optimization Gross Energy and Peak Demand Savings Finals Savings Claimed for Multiyear projects Final Savings Claimed for Single year Projects Total Number of Projects 1 5 6 Energy Savings Tracked Gross En...
AI summary Table 26 evaluates the 2023 Building Optimization program's energy and peak demand savings, distinguishing between multiyear and single-year projects. It includes metrics like gross energy savings, adjustment ratios, line loss factors, and effective useful life.
As presented in [Table](#page-38-0) 27 below, GHG emissions reductions were calculated by applying the Nova Scotiaspecific factor 20 for GHG emissions generated by electricity production to Building Optimization gross savings. 20 At the ti...
AI summary The document discusses the calculation of GHG emissions reductions based on Nova Scotia-specific factors derived from Nova Scotia Power's 2022 data, including total system emissions and electricity generation. It also mentions line loss factors and Effective Useful Life (EUL) calculations for retrofit projects.
Net savings represent the savings that can be reliably attributed to a service. For Building Optimization, net savings are calculated by applying the NTGR value in the following equation: Net Savings = Gross Savings × NTGR The detailed net...
AI summary Net savings for Building Optimization are calculated using the NTGR value, resulting in an average EUL of 7.9 years and 311 tonnes of CO2 eq in annual GHG emission reductions.
Table 29: Evaluated 2023 Building Optimization Net Energy and Peak Demand Savings Partial Savings Claimed Final Savings Claimed for Single-year Projects Total Number of Projects 1 5 6 Energy Savings Gross Energy Savings – at the Meter (GWh...
AI summary Table 29 presents the evaluated net energy and peak demand savings from the 2023 Building Optimization program. It includes metrics such as gross and net energy savings, line loss factors, and effective useful life for different project types.
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.
Figure 15: 2023 SEM Participation Process Summary Eligibility Check, Memorandum of Understanding (MOU), and Kick-off Meeting - Once approved, eligible participants must first sign a MOU that outlines the project scope, participant requirem...
AI summary The 2023 SEM Participation Process involves eligibility checks, signing MOUs, kick-off meetings, energy team formation, and development of energy management policies. Participants host energy improvement events, develop energy management plans, and undergo savings verification. Performance-based incentives are offered at different rates depending on participation in the Large Industrial initiative. The program aimed for 3.002 GWh of energy savings and 0.343 MW of peak demand savings.
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.
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.
1 Results General Overview - Check savings (in %) for each end use and identify where the major savings lie. Crosscheck with the energy efficiency measure list to validate if the savings claimed make sense. - Verify GJ/m2 and check benchma...
AI summary The text outlines steps for verifying energy savings and energy intensity in buildings, emphasizing the importance of checking savings percentages, cross-referencing with energy efficiency measures, and validating energy intensity using benchmarking data while considering building-specific factors.
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.
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.
s an outlier, so it was treated as a one-time adjustment. When combined with the adjustment ratio for all other measures, it led to an overall peak demand savings adjustment of 0.932 for DIY projects. Desk reviews for HVAC measures led to...
AI summary Adjustments were made to energy and peak demand savings for various projects, including DIY, HVAC, refrigeration, and agricultural measures. Adjustments were based on corrections to tracked capacities, equipment specifications, and project completion issues. Heat pumps and other measure categories also required individual project-based adjustments.
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.
4.2.6 Evaluated Gross Savings [Table](#page-195-0) 16, [Table](#page-196-0) 17, and [Table](#page-197-0) 18 below present the evaluated total gross savings at the meter and at the generator for both SBES paths and the CDI pilot respectivel...
AI summary The text discusses evaluated gross savings at the meter and generator levels for SBES paths and the CDI pilot, noting that generator savings calculations use line loss factors submitted to the Nova Scotia Utility and Review Board (NSUARB) as part of the 2014 Cost of Service Study Progress Update.
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.
Table 25: Overall 2023 Direct Installation Participation and Evaluated Savings 14 Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit SBES Energy Savings 46715 Projects 9.180 GWh 0.81 7.451 GWh Lifetim...
AI summary Table 25 presents data on the 2023 Direct Installation Participation and Evaluated Savings for SBES. It shows that energy savings were 9.180 GWh, below the target of 11.897 GWh, and peak demand savings were 1.491 MW, below the target of 2.070 MW. The NTGR is 0.81, and participation in SBES decreased in 2023.
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.
D3. Efficiency Nova Scotia provided your business with a rebate of $ for the energy-efficient lighting upgrades. If your business had not received this rebate, would you have paid the full cost of the lighting upgrades? Please use a scale...
AI summary Efficiency Nova Scotia provided a rebate for energy-efficient lighting upgrades. The question asks if the business would have paid the full cost without the rebate, using a scale from 0 to 10.
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.
D12. Efficiency Nova Scotia provided your business with a rebate of $ for the heat pumps. If your business had not received this rebate, would you have paid the full cost of the heat pumps? Please use a scale of 0 to 10, where 0 means that...
AI summary Efficiency Nova Scotia provided a rebate for heat pumps to a business. The question asks whether the business would have paid the full cost of the heat pumps without the rebate, using a scale from 0 to 10.
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.
8 BNI DR Key Findings and Recommendations As mentioned previously, the main objective of the 2023 BNI DR evaluation was as follows: › Calculate BNI DR results, namely new and total available DR capacities This section provides the Evaluato...
AI summary The 2023 BNI DR evaluation found that the program fell short of its available DR capacity target, with only 2.365 MW achieved instead of the 3.0 MW target. Participation in DR events was high, but the baseline methodology used by EOne could be improved by using an additive same-day adjustment factor. Available DR capacity varied significantly across events.
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 163: Faucet Aerator Measure Summary173 Table 164: Electrical Unitary Savings Values for Faucet Aerators174 Table 165: Average Hot Water Usage per Faucet174 Table 166: Thermostatic Shower Valve Measure Summary175 Table 167: Electrical...
AI summary The text lists numerous tables summarizing energy efficiency measures, including faucet aerators, thermostatic shower valves, pipe insulation, hot water tank wraps, compressed air leak repairs, VFDs, solar PV systems, and LED lighting. These tables provide details on energy savings, installation rates, and baseline evolution for various efficiency measures.
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.
KEY DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. First-year savings The first full year of energy or peak demand savings generated by an energy efficiency measure. Free-ridership Percentage of gross saving...
AI summary The document defines key terms related to energy efficiency programs, including accuracy, first-year savings, free-ridership, gross savings, induced consumption, and interactive effects, providing clarity on how these metrics are measured and interpreted.
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.
EF Pl Parameter Symbol Single-family Homes Apartments Source Percentage of Hot Water Used in Showers %dhw 63% DeOreo et al. 58 Number of Days per Year [days/year] N days 365 Convention Specific Heat of Water [BTU/lb°F] Срн20 1 Convention D...
AI summary The text presents a table with parameters related to hot water usage and energy savings calculations. It discusses the efficiency of electrical water heaters, flow rate reductions, and unitary energy savings for single-family homes and apartments, with a focus on the EPI Mail-out pilot program.
Table 63: Air Sealing Product Measure Summary Parameter E PI Reference Measure Description and Identification Measure Description Air seal ir sealing products to reduce space heating consumption Electrica al resis tance heate d homes Heat...
AI summary Table 63 provides a summary of air sealing product measures, including installation rates, energy savings parameters, and other relevant data. It outlines the performance of various heating systems, such as electric resistance and heat pump systems, and includes details on energy savings and peak demand savings.
Table 66: Window Film Kit Measure Summary Parameter EPI Reference Measure Description and Identification Measure Description Windows film kits to reduce space heating consumption Additional Notes Heating System Electrical Resistance Heated...
AI summary Table 66 provides a summary of the Window Film Kit Measure, including parameters such as installation rate, energy savings, and peak demand savings. The table outlines energy savings for different heating systems and includes references to subsections for detailed calculations.
The electrical unitary energy savings values of the window kit measure are calculated using the equations below. $$Energy \, Savings \, (kWh) = ES_{sealing} + ES_{insulation}$$ $$ES_{sealing} = \frac{n_{window} \times p_{window} \times ESP...
AI summary The document outlines the calculation of energy savings for window film kits installed through EPI, using equations that factor in sealing and insulation. Values are adjusted based on HDD ratios and specific technical references from Connecticut and Iowa.
Table 70: Smart Thermostat for Electrical Heating System Measure Summary Parameter Instant Savings, EPI, MHEEP Reference Measure Description and Identification Measure Descript ion Smart thermospace heating Additional Notes Controlled Heat...
AI summary Table 70 provides a summary of the Smart Thermostat for Electrical Heating System measure, including parameters like installation rate, useful life, unitary energy savings, and peak demand-to-energy ratio. The table outlines energy and demand savings associated with the measure.
Some models of smart thermostats sold through Instant Savings or installed through EPI or MHEEP are compatible with electrical heating systems. They operate by connecting to a single baseboard, MSHP, or in-floor heating system as opposed t...
AI summary The text discusses the calculation of energy savings for smart thermostats installed in electric heating systems through programs like Instant Savings, EPI, and MHEEP. It uses a formula and references studies on central heating systems to estimate 12% savings for similar systems.
For both ARet and Instant Savings, dehumidifier electrical unitary energy savings are calculated using the equation below. $$Energy \ Savings \ _{kWh} = AWRC \times AOD \times \left(\frac{1}{EF_{base}} - \frac{1}{EF_{new}}\right)$$ For ARe...
AI summary The text outlines the calculation method for dehumidifier energy savings under the ARet and Instant Savings programs, referencing baseline and new energy factors from various reports and guidelines. It emphasizes the assumptions made regarding unit replacement and the use of specific regulatory standards.
Table 88: Efficient Clothes Washer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Efficient clothes washers to reduce electricity consumption N/A Additional Notes - General Pa...
AI summary Table 88 outlines the parameters for the Efficient Clothes Washer Measure, including installation rates, energy savings, and peak demand savings. The table provides details on the measure's description, useful life, and energy efficiency ratios, which are crucial for evaluating the effectiveness of the program.
Energy Consumption Component Energy Consumption (kWh/year) Adjustment Factor for Electrical Water Heating Adjustment Factor for Cold Water Usage Adjusted Energy Consumption (kWh/year) Water Heating System 118 0.804 0.67 64 Internal Clothes...
AI summary Table 92 presents electricity consumption data for standard clothes washers, including water heating systems, internal clothes dryers, and washing machine drums. Adjustments factors for electrical water heating and cold water usage are applied to calculate adjusted energy consumption.
Table 95: Efficient Washer-Dryer Combination Units Parameter Instant Savings Reference Measure Description and Identification Measure Description Efficient washer-dryer combination units to reduce electricity consumption N/A Additional Not...
AI summary The table provides details on efficient washer-dryer combination units, including installation rates, energy savings, and peak demand savings. It outlines the unitary energy savings and peak demand-to-energy ratio for these units.
For efficient washer-dryer combination units, the current models available through the program consist of a dryer and a washer with separate drums that operate separately. Therefore, the energy savings are calculated by summing the savings...
AI summary The text explains how energy savings for efficient washer-dryer combination units are calculated by summing the savings from efficient dryers and washers. It references data from the NRCan 2015 Survey and the U.S. Department of Energy's baseline CEF for the base units, as well as the weighted average CEF for new units as of October 2022.
& lt;sup>147 ENERGY STAR, ENERGY STAR Certified Residential Clothes Washers, https://www.energystar.gov/productfinder/product/certified-clothes-washers/ (Last accessed December 21, 2018) & lt;sup>148 Natural Resources Canada, Search: Cloth...
AI summary The text discusses the calculation of water heating energy savings for clothes washers, based on the proportion of electrically heated water. It references ENERGY STAR ratings and data from the Energy Efficiency Ratings directory and EPI tracking sheets from 2018 and 2019.
Table 109: Smart Power Controllers for Audiovisual Equipment Measure Summary Parameter EPI Instant Savings Reference Measure Description and Id lentification Measure Description Smart power controllers equipment to reduce ele N/A Additiona...
AI summary Table 109 summarizes the energy savings parameters for smart power controllers for audiovisual equipment, including installation rates, useful life, and energy savings metrics. The table compares Tier 1 and Tier 2 power strips and provides references for detailed calculations and subsections.
Table 112: Power Bars with Integrated Timer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Power bars with integrated timer to reduce electricity consumption N/A Additional No...
AI summary This table outlines the energy savings parameters for power bars with integrated timers. It includes details such as installation rate, effective useful life, unitary energy savings, and peak demand-to-energy ratio.
3.1.1 Interactive Effects For indoor lighting measures offered through BER Instant Rebates, the interactive effects factors for energy and peak demand savings used are based on the average values of indoor lighting products installed throu...
AI summary The document discusses the calculation of interactive effects factors for indoor and outdoor lighting measures under BER Instant Rebates and SBES direct install offers. These factors are based on average values from 2022 installations and adjusted for recessed fixtures. Outdoor lighting has no interactive effects.
Peak Coincidence Factor For indoor lighting measures offered through Instant Rebates, the peak coincidence factor (PCF) for indoor products is based on the weighted average PCF value of all indoor lighting products installed through BER-AR...
AI summary The document outlines the peak coincidence factors (PCF) for indoor and outdoor lighting measures under different rebate programs. For indoor lighting through Instant Rebates, the PCF is 60%, while for SBES, it is 54%. Outdoor lighting has a PCF of 100% due to its predictable usage patterns during winter months.
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 128: Electrical Unitary Savings Values for Linear LED fixtures Parameter Value Source Baseline Wattage [W] N/A Based on specification data for each rebated unit. (See Table 129 below.) New Wattage [W] N/A Based on wattage listed in t...
AI summary The table outlines the electrical unitary savings values for linear LED fixtures, including parameters such as baseline wattage, new wattage, hours of operation, and unitary savings. These values are based on specification data and average hours of operation for indoor lighting products installed through BER-AR and SBES in 2019.
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.
Table 133: Outdoor LED Fixture Measure Summary Parameter BER Instant Rebates Reference Measure Description and Identification Measure Description Outdoor LED fixtures NI/A Additional Notes - N/A General Parameters In-service Rate 100% See...
AI summary Table 133 provides a summary of outdoor LED fixture measure parameters, including in-service rate, effective useful life, and energy savings calculations. It outlines the methodology for calculating unitary energy savings and peak demand savings based on specification data for each rebated unit.
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.
The outdoor LED fixture category contains outdoor wall-mounted area luminaires as well as the architectural flood and spot luminaire subcategories. Unitary Savings [kWh/year] N/A Calculation based on specification data for each rebated uni...
AI summary The outdoor LED fixture category includes wall-mounted area luminaires and architectural flood and spot luminaire subcategories. Baseline wattages are calculated using weighted averages of 50% metal halide and 50% high-pressure sodium fixture systems, varying by lumens output and cut-off type.
Table 137: Directional and Architectural LED Fixture Measure Summary Parameter BER Instant Rebates Reference Measure Description and Identification Measure Description Directional and architectural LED fixtures N/A Additional Notes General...
AI summary Table 137 outlines the parameters for directional and architectural LED fixture measure summaries, including in-service rate, effective useful life, electrical savings parameters, and interactive effects factors for energy and peak demand savings.
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.
Table 144: Circulator Pump Measure Summary Parameter BER Instant Rebates Reference Measure Description and Identification Measure Description Variable speed electronically commutated motor (ECM) circulator pumps Additional Notes power < 15...
AI summary Table 144 outlines the Circulator Pump Measure Summary, including details on variable speed electronically commutated motor (ECM) circulator pumps. It provides information on installation rates, effective useful life, electrical savings parameters, and interactive effects factors.
Table 145: Electrical Unitary Savings Values for Circulator Pumps Parameters Max Input Power < 150 W Max Input Power ≥ 150 W and < 500 W Max Input Power ≥ 500 W and < 2,500 W Source Vermont Average Unitary Energy Savings [kW/year] 401 780...
AI summary Table 145 presents electrical unitary savings values for circulator pumps, including energy savings in kilowatts per year and average operating hours in Nova Scotia and Vermont. The table also includes a note about the peak coincidence factor, which may relate to energy usage patterns.
Table 147: Booster Pump Measure Summary Parameter BER-AR Reference Measure Description and Identification 1 Measure Description High efficiency booster pumps N/A General Parameters Installation Rate 100% See details below under Installatio...
AI summary Table 147 provides a summary of the Booster Pump Measure, including parameters such as installation rate, effective useful life, and energy savings calculations. The table outlines details related to high-efficiency booster pumps and their energy savings potential based on specification data.
Table 160: Electrical Unitary Energy Savings Values for Low-flow Showerheads Parameter Symbol SBES Source Proportion of Water Heating Supplied by Electric Resistance Heating %ElectricDHW 100% Electrical energy savings will only be claimed...
AI summary Table 160 presents electrical unitary energy savings values for low-flow showerheads, including parameters such as baseline and low-flow rates, energy efficiency, and calculations for annual energy savings. The table references various sources like the SBES tracking sheet, EPI Program Manual, and conventions for unit conversions.
Table 175: Electrical Unitary Energy Savings Values for Compressed Air Leak Repairs Parameter Symbol Value Source Size of Leak [cfm] - Varies per project Reading on site Plant Efficiency [kW/100 cfm] - Varies per project (If unknown, use 1...
AI summary Table 175 outlines the parameters and calculations for electrical unitary energy savings from compressed air leak repairs, including variables such as leak size, plant efficiency, and hours of use, with energy savings calculated based on project-specific data.
Measure Name Program Component EUL Value Source Appliance Upgrade АМН 11 Values for appliance upgrades typically vary between 10 and 12 years, so a value of 11 years was assumed. Lighting Controls Dimmer Switches Instant Savings 10 IESO PM...
AI summary The document presents a table of various energy efficiency measures with their respective Equivalent Useful Life (EUL) values, program components, and sources. It includes upgrades for appliances, lighting controls, water heating systems, and other efficiency measures, with EUL values ranging from 7 to 20 years.
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 Other New Homes NHC 30 (Tier 1 & 2) 36 (Tier 3) The EUL values were established by calculating the weighted average EUL of insulation, heating system, and lighting measures. The difference in...
AI summary The document provides EUL (Energy Use Life) values for various energy efficiency measures, including new homes, space heating, building envelope, and lighting controls. These values are calculated based on weighted averages and sourced from various studies and guidelines, such as the Green Design Standards and KEMA reports.
Measure Name Program Component EUL Value Source High-volume Low-speed Fans BER-AR, SBES 15 IESO PMA List, 2019 (Value for high-volume low-speed fans) KEMA, 2009 (Value for high-volume low-speed fans) DEER, 2008 (Value for two-speed fans) L...
AI summary The document presents a table listing various energy efficiency measures along with their associated EUL (Energy Use Life) values, program components, and sources. The measures include items such as high-volume low-speed fans, low-energy livestock waterers, and variable frequency drives for milk pumps. The table includes references to various studies and reports from organizations like KEMA and ERS.
Measure Name Program Component EUL Value Source Air-to-water Heat Pumps BER-AR, SBES 15 GDS, 2007 (Table 2 – Commercial & Industrial Measures, value for packaged AC/HP) ERS, 2005 (Table 4-7, value for packaged AC/HP) Dual-enthalpy Economiz...
AI summary The document presents a table of energy efficiency measures with their respective Energy Use Life (EUL) values, program components, and sources. It includes various heating and cooling technologies such as heat pumps, economizers, and kitchen exhaust systems, along with their associated EUL values and references to studies and standards.
Measure Name Program Component EUL Value Source Commercial Washing Machines BER-AR, SBES 11 DEER 2011 (Value for high efficiency clothes washers) William Goetzler et al., Energy Savings Potential and RD&D Opportunities for Commercial Build...
AI summary The document presents a table outlining various energy efficiency measures, their associated program components, EUL values, and sources. It includes details on commercial washing machines, motors and VFDs, pumping systems, and refrigeration, with references to studies and reports from organizations like KEMA, ERS, and DEER.
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.
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.
LED Fixtures As for LED fixtures without motion sensors (including recessed downlight fixtures), the equivalent EUL is analyzed in the same manner as for replace-on-burn-out lamps since the energy consumption of these fixtures is the consu...
AI summary The document discusses the energy use life (EUL) analysis of LED fixtures with and without motion sensors. For fixtures without motion sensors, the baseline is based on lamps meeting current efficiency standards, with changes expected in 2025. For fixtures with motion sensors, savings are calculated using reflector lamps as the baseline and considering reduced wattage and usage hours.
Since non-recessed LED downlight fixtures replace fixtures using A-type lamps, the methodology for establishing their equivalent EUL is similar to that of A-type lamps in EPI. The equivalent EUL calculation is based on the typical case of...
AI summary The text discusses the methodology for calculating the equivalent EUL of non-recessed LED downlight fixtures, noting that the baseline changes in 2025 due to regulation, leading to no additional savings after that year. The calculation involves a 9 W LED lamp and a rated life of 50,000 hours.