E-22024 DSM Programs Evaluation Reports
266 passages
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. EnerGuide rating An EnerGuide (official brand of Natural Resources Canada) rating is a standard measure of home energy performance. It is a measure of the effic...
AI summary The text defines key terms related to energy performance and measurement, including EnerGuide ratings, effective useful life, and equipment life. It also explains greenhouse gas equivalency in terms of carbon dioxide impact over a 100-year period.
3.1 Individual Impact Evaluation Results [Table](#page-24-0) 5 and [Table](#page-25-0) 6 below respectively list the evaluated electrical energy and peak demand savings as well as the corresponding savings tracked by E1 for each program co...
AI summary The text discusses the evaluation of electrical energy and peak demand savings for various programs offered in 2024. Net savings are calculated using the net-to-gross ratio (NTGR), and lifetime energy savings are based on the effective useful life (EUL) of efficiency measures. Line loss factors were submitted to the Nova Scotia Utility and Review Board (NSUARB) as part of the 2014 Cost of Service Study Progress Update.
Table 6: Comparison of 2024 Evaluated and Tracked Peak Demand Savings at the Generator a Program Component Tracked Results Evaluated Results Difference DSM Program Annual Gross Savings (MW) Annual Net Savings (MW) Available Capacity (MW) A...
AI summary Table 6 compares the evaluated and tracked peak demand savings at the generator for various programs in 2024. It shows results for residential, BNI, and demand response programs, highlighting differences in net savings and available capacity, along with net realization rates for each component.
Affordable Single-family Homes - › In 2024, 1,210 homes participated in Affordable Single-family Homes and 1,193 of them generated electrical energy savings. - › The net electrical energy and peak demand savings determined by the Evaluator...
AI summary In 2024, 1,210 homes participated in Affordable Single-family Homes (ASFH), with 1,193 achieving electrical energy savings. However, net savings were 21% and 3% lower than initial estimates due to revised adjustment ratios from a billing analysis using HOT2000 for Home Energy Assessments (HEA).
Table 9: 2024 Evaluated GHG Emission Reductions DSM Program Program Component Gross Annual Avoided GHG Emissions in CO2 eq Tonnes Net Annual Avoided GHG Emissions in CO2 eq Tonnes Residential Efficient Appliance Retirement 1,981 1,117 Prod...
AI summary Table 9 presents evaluated greenhouse gas (GHG) emission reductions for 2024 under various demand-side management (DSM) programs in Nova Scotia. The table includes both gross and net annual avoided emissions in CO2 equivalent tonnes for different program components, such as appliance retirement, product rebates, and energy assessments.
Table 11: 2024 Planned Net Savings and Evaluated Results Planned Savings Evaluated Results Variance Program Component and DSM Program Net Energy Savings (GWh) Net Peak Demand Savings (MW) Available DR Capacity (MW) Net Energy Savings (GWh)...
AI summary Table 11 outlines the 2024 planned net savings and evaluated results for various energy efficiency and demand response programs in Nova Scotia. It shows the performance of residential and BNI programs, highlighting variances between planned and evaluated outcomes, such as energy savings and demand reductions.
Table 12: Evaluated Net Electrical Energy Savings at the Generator, 2020-2024 Energy Savings (GWh) Energy Savings (%) DSM Program Program Component 2020 2021 2022 2023 2024 2020 2021 2022 2023 2024 Residential Residential Appliance Retirem...
AI summary Table 12 presents evaluated net electrical energy savings from various DSM programs in Nova Scotia from 2020 to 2024, highlighting contributions from residential, BNI, and overall portfolio programs, with significant energy savings percentages and GWh values reported for each category and year.
Table 13: Evaluated Net Peak Demand Savings at the Generator, 2020-2024 Peak Demand Savings (MW) Peak Demand Savings (%) DSM Program a Program Component 2020 2021 2022 2023 2024 2020 2021 2022 2023 2024 Residential Residential Efficient Ap...
AI summary Table 13 presents evaluated net peak demand savings from various Demand Side Management (DSM) programs in Nova Scotia from 2020 to 2024. It details savings by program type, including residential and BNI programs, and provides both megawatt (MW) and percentage savings for each year.
Efficient Product Installation: Electrician-installed Measures To identify opportunities for other measures that could be installed by electricians under the program component, the Evaluator performed a jurisdictional scan across 15 jurisd...
AI summary A jurisdictional scan identified electrician-installed measures for the Efficient Product Installation program, including advanced heat recovery ventilator controls, bathroom fans, block heater timers, and heat reflector panels or rolls, based on analysis across 15 Canadian and US jurisdictions.
Table 15: 2024 Recommendations on Residential Program Components No. Recommendation Custom New Construction – R2 Amend section 7.10 of the New Construction program guide to require M&V for large industrial New Construction projects. Custom...
AI summary The table outlines seven recommendations for improving residential program components, focusing on energy modelling, outreach, education, and alignment with new building codes. Key areas include increasing modelling incentives, recruiting energy modellers, collaborating with educational institutions, and aligning with the National Energy Code of Canada for Buildings 2020.
Program Components Bibliographic References NREL, The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures. Chapter 7: Refrigerator Recycling Evaluation Protocol, prepared by the Cadmus Group, Se...
AI summary The document contains a table listing program components and their corresponding bibliographic references, including citations to studies, reports, and regulatory matters related to energy efficiency and emissions in Nova Scotia. Key references include studies by the National Renewable Energy Laboratory and regulatory filings from the Nova Scotia Utility and Review Board.
Adjustment Ratio Margins of Error – Stratified Sample Below is a description of the steps followed to calculate the margins of error for adjustment ratios applied to electrical energy and peak demand savings based on the energy savings exa...
AI summary The document outlines the methodology for calculating margins of error in adjustment ratios for electrical energy and peak demand savings, using data from the 2024 Custom Retrofit evaluation. This process involves a stratified sample approach to assess energy savings accuracy.
[Table](#page-84-0) 2 below presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well as EUL values for each program component and for Residential Efficient Product...
AI summary Table 2 outlines participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, and EUL values for each program component and for Residential Efficient Product Rebates as a whole in 2024.
Participa ation Level Gross Savings NTGR Net S avings Value Unit Value Unit Value Value Unit ARet Energy Savings 5,941 Appliances 4.195 GWh 0.56 2.365 GWh Lifetime Energy Savings 16.729 GWh 0.56 9.433 GWh Peak Demand Savings 0.598 MW 0.56...
AI summary The Residential Efficient Product Rebates program exceeded its 2024 energy savings and peak demand savings targets by 70% and 41%, respectively, with Instant Savings being the primary contributor. The program achieved significant reductions in GHG emissions and energy consumption.
3.2.1 Unitary Energy Savings [Table](#page-92-4) 6 below presents the tracked and evaluated energy savings for each type of appliance retired through ARet for which a change in unitary savings was made in 2024 compared to 2023. For full-si...
AI summary The text discusses changes in unitary energy savings for retired appliances in 2024 compared to 2023, specifically for full-sized and small refrigerators and freezers, attributing the variations to differences in appliance age and size.
Table 9: Evaluated 2024 ARet Gross Energy and Peak Demand Savings Measure Category Appliance Retirement Refrigerators Freezers Room Air Conditioners Small Refrigerators Small Freezers Total Number of Units Retired or Replaced 3,763 1,756 2...
AI summary Table 9 presents evaluated 2024 ARet Gross Energy and Peak Demand Savings from appliance retirement programs. Refrigerator and freezer retirements contributed significantly to energy and peak demand savings, with refrigerator retirements accounting for 65% of first-year electrical energy savings.
Figure 4: 2024 Tracked and Evaluated Gross Electrical Energy Savings at the Generator As presented in [Table](#page-97-2) 10, gross GHG emission reductions were calculated by applying the Nova Scotiaspecific factor[11](#page-97-3) for GHG...
AI summary Figure 4 shows 2024 tracked and evaluated gross electrical energy savings at the generator. Table 10 calculates 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 a NTGR for each appliance type. For ARet, the...
AI summary The Evaluator calculated net energy and peak demand savings for appliance retirements by establishing a NTGR for each appliance type, considering free-ridership and secondary market impacts. The methodology followed the Uniform Methods Project guidelines, accounting for gross unitary energy savings and adjusting for spillover effects.
GHG Emission Reduction Calculations To obtain net avoided GHG emissions in CO2 eq for Instant Savings, the Evaluator multiplied the net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity pro...
AI summary The Evaluator calculated net avoided GHG emissions for Instant Savings by multiplying net energy savings by a Nova Scotia-specific electricity production emission factor provided by NS Power data.
Table 23: Evaluated 2024 Instant Savings Gross Electrical Energy and Peak Demand Savings LED Non-A-type LED Lamps Recessed Downlight ENERGY STAR LED Fixtures Dimmer Indoor Outdoor Product Category R, BR, and Decorative Others Fixtures With...
AI summary Table 23 presents evaluated 2024 instant savings for various electrical energy and peak demand savings across different product categories and installation types, including LED lamps, energy-efficient fixtures, and motion sensors. The data includes energy savings, installation rates, and lifetime energy savings.
Evaluated 2024 Instant Savings Gross Electrical Energy and Peak Demand Savings (Continued) Smart Heavy- Smart Thermostats Efficient Efficient Product Category Power Bars duty Outdoor Timers Programmable Thermostats Electric Baseboards MSHP...
AI summary The document presents data on energy and peak demand savings from various efficiency measures in Nova Scotia for 2024, including the number of units installed, energy savings at the meter and generator, and effective useful life of the measures. The data is organized by product category and includes metrics like installation rates and line loss factors.
Evaluated 2024 Instant Savings Net Energy and Peak Demand Savings (Continued) Product Category Efficient Combined Washers/Dryers Room Air Purifiers Dehumidifiers Pool Pumps Heat Pump Water Heaters High Efficiency Dishwashers Bathroom & Uti...
AI summary The 2024 Instant Savings program exceeded its energy and peak demand savings targets by 77% and 45%, respectively. The table provides detailed energy and peak demand savings across various product categories, including gross and net savings at the meter and generator, as well as effective useful life and lifetime energy savings.
Particip ation Level Gross Savings NTGR Net S Savings Value Unit Value Unit Value Value Unit ARet Energy Savings 4.195 GWh 0.56 2.365 GWh Lifetime Energy Savings 16.729 GWh 0.56 9.433 GWh Peak Demand Savings 5,941 Appliances 0.598 MW 0.56...
AI summary The Residential Efficient Product Rebates program exceeded its 2024 energy and peak demand savings targets by 70% and 41%, respectively, primarily due to the contribution of Instant Savings. The program achieved 24.617 GWh in net electrical energy savings and 2.765 MW in net peak demand savings.
Table 2: Overall 2024 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit AMH Energy Savings 83 Projects 1.159 GWh 1.00 1.159 GWh Lifetime Energ...
AI summary Table 2 presents the 2024 participation levels and evaluated savings for various residential programs, including energy savings, peak demand savings, GHG emission reductions, and energy efficiency measures. The data includes metrics like gross and net savings, as well as program-specific participation numbers.
Table 10: 2024 AMH Equivalent EUL Values for Comprehensive Projects Measure Category Share of Savings [%] Evaluated Equivalent EUL [years] Reference Heating Systems 63.9% 18 GDS, 2007 – Heat Pumps Building Envelopes 22.2% 30 California Pub...
AI summary Table 10 presents the 2024 AMH Equivalent EUL Values for Comprehensive Projects, detailing the share of savings and evaluated equivalent EUL for various measure categories such as heating systems, building envelopes, and lighting. The weighted average EUL is calculated as 20.5 years.
The annual gross savings at the generator are presented in [Table](#page-34-0) 11 below. The gross energy savings at the generator were estimated by using different line loss factors for each participant based on their rate code. The line...
AI summary The document presents annual gross energy savings at the generator, calculated using line loss factors specific to each participant's rate code. These factors were submitted to the NSUARB as part of the 2014 Cost of Service Study Progress Update by Nova Scotia Power. The total gross electrical energy savings are 1.159 GWh annually and 19.397 GWh over the lifetime, with an average EUL of 16.7 years for AMH in 2024.
Table 11: Evaluated 2024 AMH Gross Energy and Peak Demand Savings Prescriptive Comprehensive Heat Pumps Lighting Total Number of Projects 19 57 7 83 Energy Savings Tracked Gross Energy Savings – at the Meter (GWh) 0.226 0.681 0.153 1.061 A...
AI summary Table 11 presents the evaluated 2024 AMH gross energy and peak demand savings, including tracked energy savings, adjustments, and lifetime energy savings. It also outlines peak demand savings and their adjustments. GHG emissions reductions are calculated using a Nova Scotia-specific factor applied to the energy savings results.
9.2 Gross Savings For ASFH, the gross savings associated with building envelope and heat pump measures are calculated based on pre-retrofit and post-retrofit HOT2000 simulations, while the gross savings of replaced old appliances through t...
AI summary The text outlines methods for calculating gross savings for Affordable Single-family Homes (ASFH) through HOT2000 simulations, E1 Appliance Retirement program unitary savings, and Green Heat calculations for heat pumps. It focuses on 2024 methodology for assessing energy savings from retrofits and appliance replacements.
Modelled Energy Savings After the D and E assessments, the EAs model the house in the HOT2000 energy simulation software to obtain the initial and final EnerGuide ratings of that house. These ratings were used to determine the electrical e...
AI summary The document outlines the methodology for calculating modelled energy savings using HOT2000 simulations and adjustment ratios (ARs) derived from billing analyses. It details changes to the savings calculation approach in 2024, including distinct ARs for heat pump scenarios and the use of whole-home consumption data instead of space heating-only metrics.
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.m. and 7 p.m. in the months of Dec...
AI summary The text discusses how peak demand savings are calculated for Affordable Single-Family Housing (ASFH) in Nova Scotia, using a peak demand-to-energy ratio established by Navigant in the 2016-2018 DSM Plan. Special considerations are made for heat pump measures, where peak demand savings are calculated separately using the HEA and Green Heat approaches.
12 EPI Evaluation Approach The 2024 EPI evaluation comprised a comprehensive impact evaluation. The main objectives of the 2024 EPI evaluation were as follows: - › Collect information on participant perspectives - › Calculate gross and net...
AI summary The 2024 EPI evaluation aimed to collect participant perspectives, calculate energy savings and GHG emissions, and analyze market opportunities through defined research questions and methods.
14.2.3 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 demand peak period in Nova Scotia is between 5 p...
AI summary Peak demand savings refer to reductions in electricity demand during peak periods, specifically between 5 p.m. and 7 p.m. from December to February on non-holiday weekdays in Nova Scotia. The Evaluator used the 2024-2025 DSM MA to establish unitary peak demand savings for each product, with differences arising from updates to unitary energy savings.
14.2.6 Effective Useful Life As part of the 2024-2025 DSM MA activities, the Evaluator reviewed the EUL values used in the calculation of electrical energy savings that are expected to persist over time. Apart from lighting products, the E...
AI summary The document discusses the review and update of Effective Useful Life (EUL) values for energy efficiency measures, particularly lighting products, due to changes in the LED market. The EUL values are used to calculate electrical energy savings over time, and updated values are applied in the 2024-2025 DSM MA.
Table 31: Evaluated 2024 EPI Gross Electrical Energy and Peak Demand Savings per Measure - Single-family Homes LED Lamps Product Category 9 W Replacing 25 W 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units 1,293 364 16,...
AI summary This table evaluates the energy and peak demand savings from the Efficient Product Installation (EPI) program in single-family homes in 2024. It details the number of units installed, energy savings, and peak demand reductions for various LED lamp wattages.
LED Lamps Product Category 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 1,031 4,260 362 98 1,286 Installation Rate (%) 94% 94%...
AI summary The table presents energy savings data for various LED lamp installations, including the number of units installed, energy savings at the meter and generator, peak demand savings, and factors such as interactive effects and line loss. The data reflects efficiency improvements from replacing traditional lamps with LED alternatives.
Consumer Electronics and Accessory Lighting Product Category Solar Security Fixtures Indoor Motion Sensors Outdoor Motion Sensors Dimmer Switches Humidity Sensors Smart Power Controllers Number of Units Number of Units 592 631 250 1,646 55...
AI summary The table presents energy savings and installation data for various consumer electronics and lighting products, including solar security fixtures, motion sensors, dimmer switches, and smart power controllers. It details the number of units installed, energy savings, and peak demand savings, along with factors like interactive effects and line loss.
А ir Sealing Pr oducts – Heat Pump Heatir ng Total for Product Category Foam Gaskets (per pack of 10) Door Sweeps Window Air Sealing (per 15ft) Window Film Kits Door Weather Stripping (per 17 ft) Total for Single-family Homes Number of Uni...
AI summary The table presents data on energy savings and installation rates for various energy efficiency products in single-family homes, including foam gaskets, door sweeps, window air sealing, window film kits, and door weather stripping. It includes metrics such as unitary savings value, gross energy savings, effective useful life, and peak demand savings.
LED Lamps Product Category 18 W Replacing 100 W PAR20 7 W Replacing 50 W PAR38 15 W Replacing 90 W PAR38 15 W Replacing 120 W PAR38 15 W Replacing 150 W Number of Units Number of Units 56 35 - - - Installation Rate (%) 94% 94% 94% 94% 94%...
AI summary The document presents a table detailing energy savings from LED lamp installations across various product categories. It includes metrics such as number of units, installation rates, energy savings, and peak demand savings, along with factors like interactive effects and line loss.
LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 4.5 W Replacing 40 W E12 5 W Chandelier Replacing 40 W Number of Units Number of Units 1,028 6 43 485 337 Installation Rate (%) 94% 94% 94% 94% 94%...
AI summary The table presents energy savings data for various LED lamp installations, including unitary savings values, interactive effects factors, and gross energy savings at both the meter and generator levels. The data includes different product categories and their respective energy and peak demand savings calculations.
Product Category Pipe Insulation (per foot) Hot Water Tank Wraps Smart Thermostats for Electric Baseboards Smart Thermostats for MSHPs Advanced Learning Thermostats for Central Electric Heating Without a Heat Pump Advanced Learning Thermos...
AI summary The document presents a table detailing energy savings and installation data for various energy efficiency products, such as pipe insulation, hot water tank wraps, and smart thermostats for different heating systems. It includes metrics like unitary savings value, energy savings, peak demand savings, and effective useful life for each product category.
Consumer Electronics and Accessory Lighting Product Category Solar Security Fixtures Indoor Motion Sensors Outdoor Motion Sensors Dimmer Switches Humidity Sensors Smart Power Controllers Number of Units Number of Units 8 24 6 86 25 - Insta...
AI summary The table presents energy savings data for various consumer electronics and lighting products, including installation rates, unitary savings values, and energy savings at the meter and generator. It also includes factors like interactive effects and line loss for each product category.
Air Sealing Products - Heat I Pump Heating g Product Category Foam Gaskets (per pack of 10) Door Sweeps Window Air Sealing (per 15 ft) Window Film Kits Door Weather Stripping (per 17 ft) Total for Apartments Number of Units Number of Units...
AI summary The text presents a table summarizing the installation and energy savings of various energy efficiency products in apartments, including air sealing, heat pumps, and weather stripping. It details metrics such as installation rates, energy savings, and effective useful life for each product category.
The detailed results per measure are presented in [Table](#page-115-0) 38 below. The net energy savings resulted in 4,225 tonnes of CO2 eq in net annual GHG emission reductions. Table 38: Evaluated 2024 EPI Net Electrical Energy and Peak D...
AI summary The document presents detailed results of energy savings from LED lamp replacements under the 2024 EPI program. It highlights net annual GHG emission reductions of 4,225 tonnes of CO2 eq and provides data on energy and peak demand savings across various product categories and wattages.
Evaluated 2024 EPI Net Electrical Energy and Peak Demand Savings per Measure (Continued) LED Lamps Product Category Solar Security Fixtures Indoor Motion Sensors Outdoor Motion Sensors Dimmer Switches Humidity Sensors Smart Power Controlle...
AI summary The document presents a continuation of the evaluated 2024 EPI net electrical energy and peak demand savings per measure, including data on various products such as LED lamps, solar security fixtures, motion sensors, and smart power controllers. It details gross and net energy savings, NTGR, line loss factors, and effective useful life for each product category.
18 Green Heat Evaluation Approach The 2024 Green Heat evaluation comprised a comprehensive impact evaluation. The main objectives of the evaluation were as follows: › Calculate gross and net results, namely electrical first-year and lifeti...
AI summary The 2024 Green Heat evaluation aimed to calculate gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. Research questions were identified to achieve these objectives, with methods detailed in a table.
Table 42: 2024 Green Heat Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Which participants did not add an extensi...
AI summary This section outlines the evaluation approach for the 2024 Green Heat program, focusing on calculating gross and net results through methods such as tracking sheet audits, billing analysis, and GHG emission reduction calculations. It addresses research questions related to data accuracy, savings from mini-split heat pumps, and the evaluation of first-year and lifetime energy savings.
19.2.3 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 defined as...
AI summary The text explains how unitary peak demand savings are calculated for heating systems in Nova Scotia, noting that MSHPs showed no savings due to nil energy results, while wood/pellet stoves had adjusted savings based on billing analysis. Adjustments were made using energy savings ratios, referencing the 2024-2025 DSM MA and Econoler's 2014 report.
Table 46: Evaluated 2024 Green Heat Gross Electrical Energy and Peak Demand Savings Measure MSH IPs Effective Useful Life (years) 18 18 18 18 18 Gross Lifetime Energy Savings – at the Generator (GWh) 4.232 0.748 0.059 0.009 0.272 Peak Dema...
AI summary Table 46 evaluates the 2024 Green Heat program's gross electrical energy and peak demand savings for various measures, including Mini-split heat pumps (MSHP) and Solar DHW. The data includes effective useful life, energy savings, peak demand savings, and line loss factors for each measure.
Table 52: Implementation Status of Past Recommendations for HEA # Past Recommendations Status Comments 2018 HEA-R1 Conduct a billing analysis to review overestimation ratios (ORs) when a sufficient participant sample becomes available. Com...
AI summary Table 52 outlines the implementation status of past recommendations related to the Home Energy Assessment (HEA). A billing analysis was planned for 2022 to reassess overestimation ratios (ORs), but was deferred due to insufficient data. In 2023, a new billing analysis approach was tested, leading to the replacement of ORs with adjustment ratios (ARs) for future evaluations.
22 HEA Evaluation Approach The 2024 HEA evaluation comprised a comprehensive impact evaluation. The main objectives of the 2024 HEA evaluation were to: › Calculate gross and net results, namely electrical first-year and lifetime energy sav...
AI summary The 2024 HEA evaluation aimed to calculate gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The evaluation involved research questions, methods, and sample sizes outlined in Table 53.
Table 53: 2024 HEA Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Which participants did not add an extension as p...
AI summary Table 53 outlines the evaluation approach for the 2024 Home Energy Assessment (HEA) program, focusing on calculating gross and net results through methods like tracking sheet audits, billing analysis, and surveys. Key considerations include data accuracy, adjustment ratios, and energy savings calculations.
Measures Modelled in HOT2000 After the D and E home energy assessments, EAs model the house in the HOT2000 energy simulation software to obtain the initial and final EnerGuide ratings of the given house. Energy consumption levels obtained...
AI summary The document outlines the methodology used in HOT2000 for modeling energy savings from home energy assessments. It describes the use of adjustment ratios derived from billing analyses to improve the accuracy of savings calculations, ensuring that only savings attributable to the program are captured. The analysis excludes participants who installed non-modelled measures like wood burning equipment or solar PV.
For some measures installed under HEA, instead of using a performance approach based on energy simulation results, energy savings are calculated using a prescriptive approach based on unitary energy savings values. This is the case for: -...
AI summary The document explains how energy savings for certain measures installed under HEA are calculated using a prescriptive approach based on unitary energy savings values rather than performance-based simulations. This applies to wood burning equipment, smart thermostats, solar PV systems, and HPWHs. The approach for HPWHs is adjusted to avoid double counting and facilitate future savings accounting.
23.2.6 Effective Useful Life As part of 2024-2025 DSM MA activities, the Evaluator reviewed the EUL values used in the calculation of electrical energy savings that are expected to persist over time. For the electrical energy savings that...
AI summary The Evaluator reviewed Effective Useful Life (EUL) values for electrical energy savings in the 2024-2025 DSM MA, calculating a weighted average for building envelope and heating measures, and directly applying EUL values for prescriptive measures.
Table 59: 2024 HEA Tracked and Evaluated Effective Useful Life Values Measure Tracked EUL [years] Evaluated EUL [years] Measures Modelled in HOT2000 (i.e. Heat Pumps and Building Envelope Measures) 20.8 20.5 Heat Pump Water Heaters 10.0 15...
AI summary Table 59 presents the tracked and evaluated effective useful life (EUL) values for various energy efficiency measures in the 2024 Home Energy Assessment (HEA). The EUL values are used to calculate gross and net lifetime electrical energy savings, with a gross weighted average EUL of 27.5 years.
23.2.7 Evaluated Gross Savings The annual gross savings for each category of measures installed through HEA in 2024 are listed in [Table](#page-163-0) 60 below. The gross savings at the generator were estimated by using residential line lo...
AI summary The annual gross savings for measures installed through Home Energy Assessments in 2024 are detailed in a table. Residential line loss factors of 1.0947 and 1.146601 were used to estimate gross savings at the generator, based on values submitted to the NSUARB in 2014.
\ \ The number of participants who install measures modelled in HOT2000 and the number of prescriptive measures are not mutually exclusive. Number of participants for Solar PV measures corresponds to the number of participants who generate...
AI summary The text discusses GHG emission reductions calculated using Nova Scotia-specific factors applied to HEA net savings, noting that the number of participants in HOT2000 and prescriptive measures are not mutually exclusive. It also mentions variations in unitary savings for wood burning equipment and HPWHs based on equipment type and baseline.
The unconverted D assessment savings spillover effect corresponds to the savings associated with those measures implemented by electrical participants who did not complete an E assessment by the end of the allocated 12-month period (referr...
AI summary The analysis examines the unconverted D assessment savings spillover effect, focusing on expired participants who did not complete an E assessment within the allocated 12-month period. The Evaluator conducted surveys and site visits to reassess savings parameters, finding that 54% of expired participants implemented at least one upgrade. Average savings were calculated as 2,097 kWh using a new methodology, compared to a tracked value of 2,283 kWh.
s calculation methodology was used to establish the 2,097 kWh value. If the former methodology had been used, the average savings value would have been very close to the tracked value, i.e. 2,123 kWh. [Table](#page-166-0) 65 below outlines...
AI summary The text discusses the calculation methodology used to determine energy savings values, noting that the current method resulted in a value of 2,097 kWh, while an alternative method would have yielded 2,123 kWh. A table outlines parameters used to calculate unconverted D assessment spillover savings for 2024, including the number of participants and the calculation method.
Table 65: 2024 HEA Unconverted D Assessment Spillover Savings Parameters Tracked Values Evaluated Values Total Number of Unconverted D Assessment Participants 1,868 Ratio of Unconverted D Assessment Participants Who Implemented at Least On...
AI summary Table 65 outlines the 2024 HEA Unconverted D Assessment Spillover Savings, showing data on participants who implemented energy efficiency measures and the associated energy and peak demand savings. The table includes metrics such as participant numbers, savings in kWh and GWh, and the demand-to-energy ratio. Savings attributed to previous unconverted D assessment participants are reversed to prevent double counting.
In previous evaluations, these savings were deducted by simply subtracting the number of participants who ended participation in HEA from the number of unconverted D assessment spillover participants. Starting in 2024, reversals are calcul...
AI summary The calculation method for savings deductions has changed starting in 2024, with reversals now calculated separately based on savings parameters rather than simply subtracting participants who ended their participation. In 2024, 337 unconverted D assessment spillover reversal participants were identified, with deductions calculated in Table 66 based on initial savings parameters.
Table 66: 2024 HEA Unconverted D Assessment Spillover Reversals Parameters Values Total Number of Unconverted D Assessment Spillover Reversals 337 Ratio of Unconverted D Assessment Participants Who Implemented at Least One Measure 54% Aver...
AI summary Table 66 presents data on 2024 HEA Unconverted D Assessment Spillover Reversals, including 337 participants, 54% of whom implemented at least one measure, with average electrical savings of 2,283 kWh and total energy savings of 0.415 GWh. The table also outlines the demand-to-energy ratio and peak demand savings.
Table 69: Comparison of 2024 HEA 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 E1 41.992 GWh 0.70 29.552 GWh 108% Evaluati...
AI summary Table 69 compares 2024 Home Energy Assessment (HEA) tracked and evaluated savings at the generator level. It shows energy and peak demand savings tracked by E1 and evaluation results, including Gross Savings, Net Total Gross Savings (NTGR), Net Savings, and Realization Rates.
26 MHEEP Evaluation Approach The 2024 MHEEP evaluation comprised a condensed impact evaluation. The main objectives of the 2024 MHEEP evaluation were as follows: › Calculate gross and net MHEEP results, namely electrical first-year and lif...
AI summary The 2024 MHEEP evaluation focused on calculating gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The evaluation objectives are outlined in a table and mapped to research questions and methods.
Table 70: 2024 MHEEP Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the savings for heating and building...
AI summary The document outlines the evaluation approach for the 2024 MHEEP (Mi'kmaw Home Energy Efficiency Project), focusing on calculating gross and net results through data audits, unitary savings reviews, effective useful life updates, and GHG emission reduction calculations.
27.2.1 Electrical Energy Savings For MHEEP, electrical energy savings are calculated based on HOT2000 simulation results adjusted with billing analysis results and unitary savings values for prescriptive measures, as shown in the equation...
AI summary Electrical energy savings for the Mi'kmaw Home Energy Efficiency Project (MHEEP) are calculated using HOT2000 simulation results, adjusted with billing analysis and unitary savings values for prescriptive measures, as represented in the provided equation.
Measures Modelled in HOT2000 After the D and E assessments, the DAs model the house in the HOT2000 energy simulation software to obtain the initial and final EnerGuide ratings of that house. Energy consumption levels obtained from HOT2000...
AI summary The document outlines the methodology used in HOT2000 energy simulations to model energy savings from efficiency measures. It discusses the use of adjustment ratios (ARs) derived from billing analyses, which are applied to modelled savings estimates based on whole-home consumption, replacing the previous overestimation ratio (OR) methodology focused on space heating.
Table 71: 2024 MHEEP Adjustment Ratios Scenario Tracked Evaluated ORD Assessment ORE Assessment AR A participant who registered with a heat pump 0% (1.00) 0% (1.00) 1.24 A participant who registered without a heat pump and who did not inst...
AI summary Table 71 outlines adjustment ratios for the Mi'kmaw Home Energy Efficiency Project (MHEEP) in 2024, showing different scenarios based on heat pump registration and installation. Participants with non-electrical space heating can generate both electrical and non-electrical savings, with electrical savings calculated using total energy consumption and the proportion of electrical heating systems during the D assessment.
Table 72: Tracked and Evaluated 2024 MHEEP Unitary Energy Savings Measure Tracked Savings [kWh/year] Evaluated Savings [kWh/year] Smart Thermostats with Electric Resistance Baseline 348 312 Smart Thermostats with Heat Pump Baseline 514 564...
AI summary Table 72 presents tracked and evaluated energy savings for the Mi'kmaw Home Energy Efficiency Project (MHEEP) in 2024, comparing actual and estimated energy savings for various energy efficiency measures, including smart thermostats and appliance replacements.
27.2.4 Effective Useful Life As part of the 2024-2025 DSM MA activities, the Evaluator reviewed the EUL values used in the calculation of electrical energy savings that are expected to persist over time. The EUL values for building envelop...
AI summary The Evaluator reviewed Effective Useful Life (EUL) values for building envelope upgrades and space heating equipment as part of the 2024-2025 DSM MA update. EUL values were not revised for most measure categories, except for heat pump water heaters and modelled measures, as reflected in Table 74.
The gross savings at the generator were estimated by using a line loss factor of 1.0947 for energy savings and 1.1466 for peak demand savings between the meter and the generator. These line loss factors were provided by NS Power and corres...
AI summary The document discusses the estimation of energy savings at the generator using line loss factors provided by NS Power, referencing a 2014 study submitted to the Nova Scotia Utility and Review Board. It also mentions the average Effective Useful Life (EUL) of the Mi'kmaw Home Energy Efficiency Project (MHEEP) as 20.3 years in 2024.
Table 81: 2024 Residential Behaviour Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate net results › What are the evaluated first-year net electrical energy savings? › Are the participation levels in other...
AI summary Table 81 outlines the 2024 Residential Behaviour Evaluation Approach, focusing on calculating net results through billing analysis, participation analysis in other E1 programs, and GHG emission reduction calculations.
This analysis was performed using the AMI data for the pre-program period from May 2023 to April 2024. A similar analysis was conducted with 24 months (divided into year -1 and year 2) of bi-monthly billing data prior to program launch, wh...
AI summary The analysis used AMI data from May 2023 to April 2024 and compared consumption levels between year 1 and year 2 using bi-monthly billing data. No significant differences in consumption levels were found, and postal codes were used to compare the geographical locations of households selected in each group.
Where: - › _ℎ = The control group's average daily consumption over the given post-program year - › _ℎ = The treatment group's average daily consumption over the given post-program year - › _ℎ = The control group's average daily consumption...
AI summary The document discusses adjustments made to the cumulative savings approach for calculating annual electrical savings, taking into account varying numbers of participating households with AMI data. Table 84 presents the 2024 electrical savings values established using this method.
Table 87: Overall 2024 Existing Residential Participation and Evaluated Savings Particip ation Level Gross Savings NTGR Net S Savings Value Unit Value Unit Value Value Unit AMH • Energy Savings 83 Projects 1.159 GWh 1.00 1.159 GWh Lifetime...
AI summary Table 87 presents data on residential participation and evaluated savings for 2024, including energy savings, GHG emission reductions, and EUL for various programs like AMH, ASFH, EPI, Green Heat, HEA, MHEEP, and Residential Behaviour. The table also includes net savings ratios (NTGR) for each program component.
Table 1: Spillover (for Electrical Savings) 2021 Algorithm 2024 Algorithm Question Answer Score Score Question Answer Score 0 1) Yes CONTINUE Since participating in the 1) Yes CONTINUE G1 Since participating in the Efficient Product Instal...
AI summary Table 1 presents a survey related to the Efficient Product Installation Service, asking participants about additional energy-efficient products installed in their homes and the associated energy savings. The table outlines a structured algorithm for data collection and scoring.
Table 1: Details on the Point System Used for the Selection of Control Participants Parameters Points Average daily consumption of treatment and control candidates after their Add a maximum of 2 points based on a function of the relative d...
AI summary Table 1 outlines a point system for selecting control participants based on average daily consumption differences between treatment and control groups. Points are awarded based on the relative difference, with up to 2 points for a 10% difference and 0 points for a 50% or greater difference. Each participant had different pre and post-program periods, and control participants were matched to treatment participants for billing analysis.
Wood or Pellet Stoves or Fireplace Inserts Measures Wood or pellet stoves or fireplace inserts were analyzed as a single measure. As a starting point, the Evaluator separated the results according to the baseline heating system: ASHP or el...
AI summary The analysis of wood or pellet stoves and fireplace inserts as energy efficiency measures excluded participants who previously used such systems and found that fireplace inserts significantly affect energy savings results. Excluding fireplace inserts increased energy consumption variation and reduced average savings.
Table 3: Wood and Pellet Stove Billing Analysis Results After Removing Fireplace Inserts Scenario Number of Treatment Participants Average Variation in Energy Consumption of Treatment (Tpre-Tpost, kWh) Average Variation in Energy Consumpti...
AI summary Table 3 presents energy savings results after removing fireplace inserts from wood and pellet stoves. The savings are statistically significant, and the Evaluator recommends removing fireplace inserts from Green Heat offerings due to their limited savings.
Table 4: Econoler and Energy Trust savings results Scenario Number of Participants Average Savings (kWh) Sample Description Sample N Average Evaluated Savings (kWh) Econoler Green Heat Results Energy Trust Results Fully electric 99 1,514 W...
AI summary Table 4 presents savings results from the Econoler and Energy Trust programs, showing average kWh savings for fully electric and partially electric participants. The overall results include data from 2020-2022, with the note that supplemental heating information was only available for 2022 participants.
Energy Savings Calculation Figure 1 below illustrates how energy savings were obtained by calculating the difference in the treatment group normalized annual consumption of each participant for the year before and after program participati...
AI summary Energy savings are calculated by comparing normalized annual consumption of treatment and control groups before and after program participation, then adjusting using HOT2000 modelled savings. Exclusions include wood burning equipment, solar PV systems, and HPWHs, which are handled via prescriptive savings methods.
Table 4: HOT2000 Modelled Measure Gross Electrical Energy Savings at the Meter for 2024 Corrected Tracked Energy Savings (Overestimation Ratio) Evaluated Energy Savings (Adjustment Ratio) Gross Energy Savings at the Meter, Without Ratio (G...
AI summary Table 4 presents the modelled gross electrical energy savings at the meter for 2024 using the HOT2000 tool, showing differences between corrected tracked and evaluated energy savings due to changes in calculation methodologies. The overall de-rating of modelled measures is 24% for corrected tracked and 35% for evaluated.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Displaced wattage The displaced wattage is defined as the difference between the wattage values of the baseline equipment or product and the efficient equipment...
AI summary The text defines key terms related to energy efficiency and measurement, including accuracy, displaced wattage, EnerGuide rating, effective useful life, and equipment life. These definitions are used to evaluate the performance of energy-efficient products and measures.
[Table](#page-33-1) 2 below presents the participation levels, NTGRs, evaluated gross and net savings at the generator, annual GHG emission reductions, as well EUL values for each service and Efficient Product Rebates as a whole.
AI summary Table 2 outlines participation levels, net-to-gross ratios (NTGRs), evaluated gross and net savings at the generator, annual GHG emission reductions, and effective useful life (EUL) values for each service and Efficient Product Rebates as a whole.
Table 2: Overall 2024 Efficient Product Rebates Participation and Evaluated Savings Participation Level Gross Gross Savings Net Savings Value Unit Value Unit Value Value Unit Application Rebates Energy Savings 262 Projects 15.526 GWh 0.74...
AI summary Table 2 presents the 2024 participation levels and evaluated savings from efficient product rebates, including energy savings, peak demand savings, GHG emission reductions, and effective useful life. The data is categorized into Application Rebates and Instant Rebates, with overall totals and net-to-gross ratios (NTGR) provided for each category.
Table 4: Types of Evaluations Conducted for Each Program Component, 2024 2023 Program Program Component Process Market Impact Efficient Product Rebates BER X X Comprehensive (IR) Condensed (AR) For each program, the Evaluator prepared a DS...
AI summary Table 4 outlines the types of evaluations conducted for the Efficient Product Rebates program component in 2023, including comprehensive and condensed evaluations. The Evaluator prepared a DSM evaluation report detailing energy savings, peak demand savings, and GHG emissions avoided.
Effective Useful Life Update As part of the 2024-2025 DSM MA update activities, the Evaluator also reviewed the effective useful life (EUL) values for all measure categories and recalculated the EUL values of lighting measures for which ba...
AI summary As part of the 2024-2025 DSM MA update, the Evaluator reviewed and recalculated effective useful life (EUL) values for lighting measures, considering anticipated baseline changes during their lifetimes.
Table 10: Evaluated 2024 Application Rebates Gross Energy and Peak Demand Savings Measure Category Agriculture Commercial Kitchen HVAC Lighting Motors Pumping Energy Savings Tracked Gross Energy Savings 0.082 0.017 1.814 8.011 3.904 0.008...
AI summary Table 10 presents the evaluated 2024 application rebates for gross energy and peak demand savings across various measure categories, including agriculture, commercial kitchen, HVAC, lighting, motors, and pumping. It includes metrics such as energy savings, adjustment ratios, line loss factors, and lifetime energy savings.
4.4 Realization Rate [Table](#page-58-1) 15 below compares the electrical energy and peak demand savings established through the 2024 Application Rebates evaluation to those outlined in the 2024 tracking sheet. It also includes the realiza...
AI summary The realization rates for both electrical energy and peak demand savings from the 2024 Application Rebates were 100%, as shown in Table 15, which compares tracked and evaluated savings.
Table 29: Overall 2024 Efficient Product Rebates Participation and Evaluated Savings Participa tion Level Gross s Savings NTGR Net S avings Value Unit Value Unit Value Value Unit Application Rebates Energy Savings 262 Projects 15.526 GWh 0...
AI summary Table 29 presents data on the participation and evaluated savings from efficient product rebates in 2024, including energy savings, GHG emission reductions, and EUL for both Application Rebates and Instant Rebates. The table highlights the effectiveness of these programs in reducing energy consumption and emissions.
Table 1: Instant Rebates Distributor Influence Level Algorithm 2022 Algorithm 2024 Algorithm 98/99) Don't know/Refused EMPTY Influence Score 3 (IS3) (10–B5) x 10% Influence Score 3 (IS3) B5 Inconsistency Test IF IS3>70% & IS1<30% OR IF IS3...
AI summary Table 1 outlines an algorithm used to calculate the Distributor Influence Level based on influence scores (IS1, IS2, IS3) and other parameters. The algorithm includes inconsistency tests and conditions for determining the final distributor influence level, with variations between the 2022 and 2024 versions.
This appendix summarizes all the recommendations made by the Evaluator as part of the 2024 BER evaluation. Section Recommendations Executive Summary Recommendation #1: Undertake additional research to further validate the market evaluation...
AI summary The Evaluator recommends additional research to validate market evaluation results for LED baseline effectiveness in BER-IR, reviewing eligibility criteria for LED lighting in new construction, maintaining the non-LED baseline for BER-IR, and planning for a shift in product offerings from BER-IR to BER-AR. The recommendations also focus on improving tracking of multi-wattage products and increasing interest in controlled lighting products.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Effective useful life The period a measure is expected to be in service and provide both electrical energy and peak demand savings. This value combines equipmen...
AI summary The text defines key terms such as 'Accuracy' and 'Effective useful life' in the context of energy and environmental reporting. It also introduces the concept of carbon dioxide equivalence for greenhouse gases, measured over a 100-year period.
Evaluation Approach The 2024 evaluation was aimed at calculating program component gross and net results, namely electrical first-year and lifetime energy savings, peak demand savings, as well as avoided greenhouse gas (GHG) emissions. For...
AI summary The 2024 evaluation aimed to calculate program component gross and net results, including electrical first-year and lifetime energy savings, peak demand savings, and avoided greenhouse gas emissions. It also included a process evaluation for Custom New Construction.
amiliar with New Construction service, including those that work on non-MURB projects. 2024 New Construction-Finding: Decarbonization is a motivator for participating in New Construction service. 2024 New Construction-Finding: Financial fa...
AI summary Barriers to energy-efficient new construction include financial costs, builder awareness gaps, and insufficient energy modeller participation. Recommendations include increasing modelling incentives, recruiting more modellers through outreach, and collaborating with educational institutions. Builders must adapt to NECB 2020 requirements, which demand higher upfront costs and efficiency technologies.
3 Retrofit Impact Evaluation The objectives of the 2024 Retrofit impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as EUL values and associated lifetime ene...
AI summary The 2024 Retrofit impact evaluation aimed to assess energy and peak demand savings, annual GHG emissions avoided, and EUL values. Retrofit includes partial savings for future projects, final savings for single-year 2024 projects, and final savings for multiyear projects. Table 7 details 13 partial, 61 single-year, and 14 multiyear projects achieving savings in 2024.
[Table](#page-184-2) 8 summarizes the impact evaluation approach for each project category under Retrofit. Results for the three project categories are presented below and are then combined as the aggregated results for Retrofit in Subsect...
AI summary Table 8 summarizes the impact evaluation approach for each project category under Retrofit. Results for the three project categories are presented and combined as aggregated results for Retrofit in Subsections 3.2.6 and 3.3.4.
Table 8: Impact Evaluation Approach per Retrofit Project Category Retrofit Project Number of Projects Gross Savings Methodology Net Savings Category Completed in 2024 Methodology Regular Retrofit 44 Adjustment ratio determined from a full...
AI summary Table 8 outlines the impact evaluation approach for different retrofit project categories, detailing the number of projects, gross savings methodology, and net savings evaluation. The methodology varies by project type, with adjustments based on prior evaluations from 2021 to 2023.
3.2.6 Evaluated Gross Savings Savings for Retrofit are claimed under three defined categories: (1) Partial savings; (2) final savings for singleyear 2024 projects; and (3) final savings for multiyear projects. For projects that claimed par...
AI summary The document outlines how savings for Retrofit are categorized and adjusted. Savings are divided into partial, single-year 2024, and multiyear projects. A true-up adjustment is applied to projects completed in 2024 that previously claimed partial savings. Adjustment ratios are used to calculate overall evaluated gross savings for Retrofit.
Table 9: 2024 Retrofit Adjustment Ratios per Project Category Retrofit Project Category Adjustment Ratio on Energy Savings (Margin of Error) Adjustment Ratio on Demand Savings (Margin of Error) Regular Retrofit 1.021 (±4.9%) 1.001 (±0.2%)...
AI summary Table 9 presents 2024 Retrofit Adjustment Ratios for various project categories, including Regular Retrofit, Solar PV systems using different modeling tools, and Compressed Air Leak Audits. The table highlights the adjustment ratios for energy and demand savings, along with associated margins of error.
Table 11: Evaluated 2024 Retrofit Gross Energy and Peak Demand Savings Partial Savings Claimed Final Savings Claimed for Single Year Projects Final Savings Claimed for Multiyear Projects Total Number of Projects 13 61 14 88 Energy Savings...
AI summary Table 11 presents the evaluated 2024 Retrofit Gross Energy and Peak Demand Savings, including metrics such as energy savings in GWh, adjustment ratios, line loss factors, and effective useful life. The table breaks down data by project type and includes calculated values for gross energy and peak demand savings at both the meter and generator levels.
Table 16: Evaluated 2024 Retrofit Net Energy and Peak Demand Savings Partial Savings Claimed Final Savings Claimed for Single-year Projects Final Savings Claimed for Multiyear Projects Total Energy Savings Gross Energy Savings – at the Met...
AI summary Table 16 presents evaluated 2024 retrofit net energy and peak demand savings, including gross and net energy savings, true-up adjustments, line loss factors, and net lifetime energy savings at the generator. It also includes peak demand savings, true-up adjustments, and line loss factors for peak demand.
5.2.2 Project Review Findings The 12 project reviews were intended to validate the energy models developed for the baseline and proposed cases of each project and the resulting savings. The Evaluator based the review mainly on the project...
AI summary The evaluation of 12 projects confirmed robust energy model validation using detailed project files. EnergyPlus submissions require visual editor files for efficient review, and model weather files should be included in documentation. An industrial project with partial savings was addressed, with recommendations for M&V requirements in future industrial programs.
Table 22: Evaluated 2024 New Construction Net Energy and Peak Demand Savings Partial Savings Claimed Final Savings for Projects Fully Claimed in 2024 Total Energy Savings Gross Energy Savings – at the Meter (GWh) 6.451 13.720 20.171 NTGR 0...
AI summary Table 22 evaluates the 2024 new construction net energy and peak demand savings, including gross and net savings at the meter and generator, line loss factors, and effective useful life. The table provides detailed breakdowns for partial and fully claimed savings, as well as the net-to-gross ratio (NTGR).
[Table](#page-15-0) 23 below compares the total 2024 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...
AI summary Table 23 compares the total 2024 tracked and evaluated savings for New Construction, including the realization rate for both energy savings and peak demand savings.
As presented in [Table](#page-19-0) 25 below, GHG emission reductions were calculated by applying the Nova Scotiaspecific factor[33](#page-18-1) for GHG emissions generated by electricity production to Building Optimization gross savings....
AI summary The text discusses the calculation of GHG emission reductions using a Nova Scotia-specific factor derived from Nova Scotia Power's 2023 emissions data and total electricity generation. It references data sources and provides context on how line loss factors and EUL values are determined for retrofit projects.
10 SEM Evaluation Approach The 2024 SEM evaluation comprised a comprehensive impact evaluation. The main objectives of the SEM evaluation were as follows: › Calculate SEM gross and net results, namely electrical first-year and lifetime ene...
AI summary The 2024 SEM evaluation aimed to calculate gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The Evaluator identified key research questions and outlined methods and sample sizes in Table 31.
11.2.4 Evaluated Gross Savings The 2024 evaluated SEM gross energy and peak demand savings at the generator are listed in [Table](#page-38-1) 32 below. The gross energy and peak demand savings at the generator were estimated by using diffe...
AI summary The document discusses the evaluation of gross energy and peak demand savings from the 2024 SEM program, using line loss factors from the 2014 Cost of Service Study Progress Update to estimate savings at the generator level.
Table 32: Evaluated 2024 SEM Gross Electrical Energy and Peak Demand Savings New Projects Continuing Projects Total Number of Projects 1 6 7 Energy Savings Tracked Gross Energy Savings (GWh) 1.186 3.083 4.269 Adjustment Ratio for Energy Sa...
AI summary Table 32 presents evaluated 2024 SEM gross electrical energy and peak demand savings, including tracked energy savings, adjustment ratios, and line loss factors. The data show total gross energy savings of 4.267 GWh and gross peak demand savings of 0.513 MW. GHG emission reductions were calculated using Nova Scotia-specific factors derived from Nova Scotia Power's 2023 emissions data.
This appendix summarizes all the recommendations made by the Evaluator as part of the Custom evaluation. Section Recommendations Executive Summary 2024 New Construction Recommendation #1: Review the demand savings script used for projects...
AI summary The appendix outlines recommendations for improving energy efficiency programs in Nova Scotia, including enhancing modelling accuracy, increasing M&V requirements, recruiting energy modellers, aligning with NECB 2020, and updating program guidelines to address barriers and improve participation.
- € Strategic Energy Management Efficiency Nova Scotia ECONOL≣R Project Review Protocol 1. General Information Interview/Site Visit Date: Project ID: NSPI Rate Code: Company Name: Address: Team: Contact Name: Contact Title: Phone: Email: L...
AI summary The document outlines the Strategic Energy Management (SEM) Efficiency Nova Scotia Project Review Protocol, focusing on energy consumption drivers, participation history, and measurement and verification (M&V) protocols. It includes sections for baseline and reporting periods, regression analysis, and energy savings calculations.
Table 1: Summary of 2024 Direct Installation Program Evaluation Program Eva aluation Type Mothodology Component Impact Process Market Market Methodology Small Business Energy Solutions Condensed - - Tracking sheet audit Unitary savings rev...
AI summary The table summarizes the 2024 Direct Installation Program Evaluation, focusing on the Small Business Energy Solutions program. It outlines the evaluation methodology, including tracking sheet audits, savings reviews, and GHG emission reduction calculations.
Table 4: Type of Evaluation Conducted for SBES, 2024 Program 2024 Program Component Process Market Impact Direct Installation SBES - - Condensed For each program, the Evaluator prepared a DSM evaluation report presenting key findings, elec...
AI summary Table 4 outlines the type of evaluation conducted for the Small Business Energy Solutions (SBES) program in 2024. The Evaluator prepared a DSM evaluation report highlighting first-year and lifetime energy savings, peak demand savings, and avoided GHG emissions.
Table 8: Evaluated 2024 SBES Gross Energy and Peak Demand Savings – Audit Path Category of Measure Commercial Kitchen DHW HVAC Lighting Laundry Refrigeration Envelope Total for All Categories Energy Savings Gross Energy Savings Without Adj...
AI summary Table 8 presents evaluated 2024 SBES gross energy and peak demand savings based on an audit path. It breaks down energy savings by category, including adjustments, line loss factors, and lifetime energy savings at the generator level. Peak demand savings are also detailed, with adjustments and line loss factors applied.
Table 17: Overall 2024 Direct Installation Participation and Evaluated Savings[20](#page-153-4) Participation Level Gross Savings Net Savings Value Unit Value Unit Value Value Unit SBES Energy Savings 61,673 Units 13.459 GWh 0.81 10.854 GW...
AI summary Table 17 presents the 2024 participation and evaluated savings from the Small Business Energy Solutions (SBES) program, including energy savings, peak demand savings, GHG emission reductions, and equivalent energy use life. The data includes gross and net savings, with net savings being approximately 80-81% of gross savings.
Metering Data Analysis To establish the available DR capacity generated from Mysa thermostats, the Evaluator analyzed the available participant whole-house consumption meter data and established a unitary available DR capacity value per pa...
AI summary The Evaluator used whole-house meter data to calculate DR capacity from Mysa thermostats, converting it to per-thermostat values and updating the 2024-2025 DSM MA. Other products like EVs and batteries were excluded due to insufficient data, while Sinopé thermostats were included based on similar control strategies. No DR capacity was claimed for EVs due to low participation.
Table 1: Measure Assessment Change Log Change Type Section Description Date Update 2.4.3 (2) Refrigerator Replacements and (3) Freezer Replacements Measures are now listed under HomeWarming and MHEEP in place of ARet 2024-03-12 Update 2.6....
AI summary This table outlines updates to energy efficiency measures in various sections, including changes to program listings, savings values, and performance metrics, with updates occurring on March 12, 2024, and March 19, 2025.
Hours of Operation The daily hours of operation value is based on the 2020 Residential Lighting Hours-of-Use Quick Hit Study (RLHOU)[19](#page-96-0) in which the data collected through the 2014 Northeast Residential Lighting Hours-of-Use (...
AI summary The document analyzes residential lighting hours-of-use (HOU) data from the 2020 RLHOU study and 2014 NERHOU study, noting differences in efficient bulb usage. Three theories (differential socket selection, shifting usage, snapback effect) explain higher HOU for efficient bulbs. Adjustments of 0.2 hours/day were added to avoid overestimating savings, with distinct HOU values applied to E1 and EPI programs.
Table 11: LED Fixture Measure Summary Parameter Instant Savings Reference ENERGY STAR Certified LED Recessed Downlight Fixtures ENERGY STAR Certified LED Fixtures ENERGY STAR Certified LED Fixtures with Motion Sensors Measure Description a...
AI summary Table 11 summarizes the energy savings and performance metrics for different LED fixture measures, including energy star certified recessed downlight fixtures, standard-compliant new fixtures, and fixtures with motion sensors. Key parameters include installation rates, useful life, energy savings, and interactive effects factors.
The equation below determines the unitary savings values of LED fixtures. Table 12 lists the parameters and corresponding values used in the equation and the resulting unitary savings values. $$Energy Savings \left[\frac{kWh}{yr}\right] \\...
AI summary The text provides a formula for calculating annual energy savings from LED fixtures, using parameters such as average wattage and hours of use. Table 12 lists the parameters and resulting unitary savings values.
Table 15: Electrical Unitary Savings Values for Dimmer Switches Parameter Instant Savings EPI Reference Average Wattage [W] 2 x 21.6 W = 43.2 W 2 x 9 W = 18.0 W Assumed two controlled lamps per motion sensor Instant Savings: Weighted avera...
AI summary Table 15 presents electrical unitary savings values for dimmer switches, including average wattage, dimmed wattage, daily hours of operation, and unitary energy savings. The data is based on assumptions from various studies and references, including the United States Department of Energy and the Ontario Power Authority.
Indoor Motion Sensors The unitary savings value for indoor motion sensors is based on the general lighting equation adapted as follows to consider the effect of motion sensing on energy consumption. $$Energy\ Savings\ \left[\frac{kWh}{yr}\...
AI summary The document discusses the calculation of energy savings from indoor motion sensors using a modified general lighting equation, incorporating factors such as average wattage, hours of use, and percentage reduction in usage. The formula is used to determine unitary savings values, which are summarized in Table 17.
Table 17: Electrical Unitary Savings Values for Indoor Motion Sensors Parameter Instant Savings EPI Reference Average Wattage [W] 2 x 21.6 W = 43.2 W 2 x 9 W = 18.0 W Assumed two controlled lamps per motion sensor Instant Savings: Weighted...
AI summary Table 17 presents electrical unitary savings values for indoor motion sensors, including average wattage, daily hours of operation, and energy savings calculations. It references data from the United States Department of Energy, RLHOU, and the 2011 OPA Prescriptive Measures and Assumptions List.
The unitary savings value for indoor motion sensors is based on the general lighting equation adapted as follows to consider the effects of motion sensing and dimming on energy consumption. The annual energy savings corresponds to the diff...
AI summary The document outlines a method for calculating energy savings from indoor motion sensors and dimmer switches, using a modified lighting equation that accounts for motion sensing and dimming effects. It also references studies and reports related to residential lighting hours-of-use and energy efficiency measures.
The unitary savings value for outdoor motion sensors is based on the general lighting equation adapted as follows to consider the effect of motion sensing on energy consumption. $$Energy \, Savings \, \left[\frac{kWh}{yr}\right] = \frac{(A...
AI summary The unitary savings value for outdoor motion sensors is calculated using a modified general lighting equation that accounts for the impact of motion sensing on energy consumption. The formula incorporates average wattage, old and new hours-of-use (HOU), and results are summarized in Table 19.
Table 21: LED Nightlight Measure Summary Parameter EPI Reference Measure Description and Identification Measure LED nightlights with direct installation - Baseline Existing nightlight being replaced, which must be incandescent General Para...
AI summary Table 21 presents a summary of the LED nightlight measure, including parameters such as installation rate, energy savings, and peak demand savings. The table outlines the baseline, measure description, and various energy efficiency metrics associated with the replacement of incandescent nightlights with LED alternatives.
Table 25: Unitary Savings Values for Solar Fixtures Parameter Instant Savings EPI Reference Baseline Wattage [W] 46.7 53.4 Instant Savings: Standard compliant lamps providing the same lighting output as the rebated solar fixtures EPI: See...
AI summary Table 25 provides unitary savings values for solar fixtures, comparing instant savings and EPI values. It references baseline wattage, old operating time, and energy savings calculations. Table 26 outlines a representative lamp mix calculation, using wattage values from the United States Department of Energy for outdoor lighting.
Table 30: Drain Water Heat Recovery Measure Summary Parameter MHEEP Reference Measure Description and Identification Measure Drain water heat recovery for electric DHW heating with direct installation - Baseline Shower drains without drain...
AI summary Table 30 summarizes the Drain Water Heat Recovery Measure for electric domestic hot water heating. It outlines parameters like installation rate, effective useful life, energy savings, and peak demand savings, along with references to specific subsections in the document.
Table 31: Electrical Unitary Energy Savings Values for Drain Water Heat Recovery Systems Parameter MHEEP Reference Inputs to the HOT2000 Simulation Number of Showers per Person per Day [shower] 0.67 Mayer, Oreo et al.50 Average Shower Dura...
AI summary Table 31 presents electrical unitary energy savings values for drain water heat recovery systems, including parameters such as the number of showers per person per day, average shower duration, and energy savings per occupant. The data is derived from various sources, including simulations and tracking sheets.
Summary [Table](#page-118-3) 33 presents a summary of the values used to calculate heat pump water heater (HPWH) savings. Savings are included for a market transformation HPWH program, in addition to other resource acquisition program comp...
AI summary Table 33 summarizes the values used to calculate heat pump water heater (HPWH) savings, including savings from a market transformation HPWH program and other resource acquisition program components. The detailed methodology is provided in the following text.
Table 34: Electrical Unitary Savings Values for Heat Pump Water Heaters HEA, MHEEP Instant Savings, HPWH Parameter Symbol Non- electric Space Heating Electric Resistance Space Heating Heat Pump Space Heating Non- electric Space Heating Ele...
AI summary Table 34 presents electrical unitary savings values for heat pump water heaters in Nova Scotia, comparing different space heating systems and providing data on the share of electric water heaters and space heating systems. The data is sourced from Ecotope inc., EPI tracking sheets, and Statistics Canada.
The equations below are used to determine the annual unitary savings values for low-flow showerheads. The reduction in domestic hot water consumption is established by the difference between the base and efficient domestic hot water consum...
AI summary The text provides equations to calculate annual energy savings from low-flow showerheads by reducing domestic hot water consumption. It outlines parameters and their values used in these calculations, focusing on energy savings and domestic hot water reduction.
The equation below is used to calculate the annual unitary savings value for faucet aerators. $$\begin{split} &Energy \, Savings \left[\frac{kWh}{yr}\right] \\ &= \frac{\left(DHW_{base} - DHW_{efficient}\right) \left[\frac{gal}{day}\right]...
AI summary The text provides equations for calculating annual energy savings from faucet aerators by comparing base and efficient domestic hot water consumption values. These calculations involve parameters like flow rates, water properties, and conversion factors.
Table 45: Pipe Insulation Measure Summary Parameter EPI Reference Measure Description and Identification Measure Pipe insulation of 0.75 in. in thickness for electric DHW heating with direct installation - Baseline Pipes with no insulation...
AI summary Table 45 summarizes the pipe insulation measure, including details such as the measure description, baseline, installation rate, effective useful life, and energy savings parameters. The table provides specific values for unitary energy savings, peak demand-to-energy ratio, and other related metrics.
Table 51: Interactive Effects Factors for Space Heating Measures Measure Interactive Effects Factor for Energy Savings Interactive Effects Factor for Peak Demand Savings Source Mini-split Heat Pump 0% 0% No interactive effects for space he...
AI summary Table 51 outlines interactive effects factors for various space heating measures, indicating no interactive effects for mini-split heat pumps and noting that some measures impact heating and cooling. The table includes measures such as air-source and ground-source heat pumps, wood and pellet stoves, and thermostats.
Table 56: Central Air-source Heat Pump Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure rebated after purchase Central air-source (air-to-air and air-to-water) heat pumps - Baseline Electric...
AI summary Table 56 provides a summary of the Central Air-source Heat Pump Measure, including parameters such as installation rate, effective useful life, energy savings, and peak demand savings. The measure involves rebating after purchase for central air-source heat pumps, with energy savings calculated using the HOT2000 simulation model.
Unitary Peak Demand Savings For CASHPs installed under Green Heat, rated heating capacity and COP at -15°C are not always available. The Evaluator looked into the specification details of CASHPs installed through Green Heat in 2022 and was...
AI summary The evaluation of unitary peak demand savings for Compact Air Source Heat Pumps (CASHPs) installed under Green Heat considers the rated heating capacity and COP at -15°C. The calculation uses a specific formula and data from nine models identified in 2022.
Table 59: Electrical Unitary Savings Values for Ground-source Heat Pumps in Green Heat Parameter Symbol Value Reference Rated heating capacity of the new heat pump [Btu/h] 𝐻𝐶 Specification data for each installed system AHRI certified valu...
AI summary Table 59 presents electrical unitary savings values for ground-source heat pumps in the Green Heat program, including parameters such as heating and cooling capacities, performance factors, and load hours, with references to AHRI certified values and technical reference manuals.
Table 60: Wood and Pellet Stove and Fireplace Insert Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure purchase (Green Heat) Wood and pellet stoves and fireplace inserts rebated after install...
AI summary Table 60 provides a summary of energy savings parameters for wood and pellet stove and fireplace insert measures, including installation rates, useful life, and energy savings in kWh/year and peak demand savings in watts.
Table 63: Electrical Unitary Energy Savings Values for Wood and Pellet Boilers and Furnaces Green Green Heat ĒΑ Parameter Symbol Wood Furnace or Boiler Pellet Furnace or Boiler Wood Furnace or Boiler Pellet Furnace or Boiler Reference Coef...
AI summary Table 63 presents electrical unitary energy savings values for wood and pellet boilers and furnaces, including coefficients of performance for baseline electric resistance and heat pumps, and corresponding energy savings calculations based on these values.
Table 65: Solar Air Heating Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Solar air heating systems rebated after installation - Baseline Electric space heating (resistance or heat pump) Gene...
AI summary Table 65 outlines the parameters for the Solar Air Heating Measure, including installation rates, useful life, and energy savings calculations using RETScreen. The table highlights energy savings and peak demand savings, with various parameters detailed in subsections of the document.
Table 66: Air Sealing Product Measure Summary Parameter EPI Reference Measure Description and Identification Measure Air sealing products in electrically heated homes with direct installation - Baseline Door and/or windows without added ai...
AI summary Table 66 summarizes air sealing product measures for electrically heated homes, including installation rates, energy savings, and peak demand savings. It provides data on different types of air sealing products and their effectiveness in reducing energy use and demand.
The electrical unitary energy savings values are based on the results of an evaluation of a residential weatherization program conducted in Connecticut by KEMA in 2010.[93](#page-151-1) Based on post-retrofit blower door tests on sampled h...
AI summary The document discusses the calculation of electrical unitary energy savings from a residential weatherization program evaluated in Connecticut by KEMA in 2010. The savings values are derived from post-retrofit blower door tests and adjusted for heat pump systems using a COP of 1.8. Table 67 summarizes the savings for air sealing products related to electric resistance.
Table 69: Window Film Kit Measure Summary Parameter EPI Reference Measure Description and Identification Measure Window film kits installed by the participant (left behind by the delivery agent), in electrically heated homes - Baseline Win...
AI summary Table 69 provides a summary of the Window Film Kit Measure, including parameters such as installation rate, energy savings, and peak demand savings. The measure involves installing window film kits in electrically heated homes and is categorized under Electrical Resistance Heated Homes and Heat Pump Heated Homes.
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 explains how energy savings from window film kits are calculated, combining savings from insulation and sealing. It references technical documents from Illinois, Connecticut, and Iowa, adjusting values to the Nova Scotia context using heating degree days and resistance values.
Table 70: Electrical Unitary Savings Calculations for Window Film Kits Parameter Symbol Value for Electrical Resistance Heated Homes Value for Heat Pump Heated Homes Number of Windows Insulated Nwindow 2 Assumption that one window kit can...
AI summary Table 70 presents electrical unitary savings calculations for window film kits, comparing resistance heated homes and heat pump heated homes. It includes parameters such as number of windows, perimeter, area, heating degree days, coefficient of performance, and energy savings from air sealing and insulation. The data is sourced from Connecticut and Iowa technical reference manuals.
Table 73: Smart Thermostat for Electrical Heating System Measure Summary Parameter Instant Savings, EPI MHEEP, ASFH Reference Measure Description and Identification Measure floor heating Smart thermostats controlling electric baseboards, M...
AI summary Table 73 summarizes the Smart Thermostat for Electrical Heating System Measure, detailing parameters such as installation rates, energy savings, and peak demand savings for different subcategories of electric heating systems.
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 infloor heating system as opposed to...
AI summary The text discusses the calculation of energy savings for smart thermostats compatible with electrical heating systems, using a formula and referencing studies on Nest thermostats installed on central heating systems. The studies indicate a 12% heating consumption savings, which is applied as a baseline for similar systems.
The equation below is used to calculate the unitary savings value for learning thermostats compatible with central electrical heating systems and installed through EPI. $$Energy Savings_{kWh} = \frac{Heating Energy \times \%Savings}{COP}$$...
AI summary The text provides an equation for calculating energy savings from learning thermostats installed through EPI, using heating energy, savings percentage, and COP. It references tables that detail the billing analyses and variables used in the calculation.
Table 78: Electrical Unitary Energy Savings Calculation for Smart Thermostats for Electrical Heating Systems Parameter Symbol Value for Central Heat Pump Value for Electric Furnace Reference Average Heating Energy Consumption of a Home [kW...
AI summary Table 78 outlines the calculation of electrical unitary energy savings for smart thermostats used in electrical heating systems, including parameters such as average heating energy consumption, percentage of heating load saved, and heating system coefficient of performance. It also provides installation rates for different heating systems.
Table 80: Peak Demand-to-energy Ratios for Appliances Measure Peak Demand to-energy Ratio (W/kWh) Source Clothesline and Outdoor Drying Racks 0.000 Calculated by the Evaluator Refrigerator Retirements/Replacements 0.138 RES-Appliance-Fridg...
AI summary Table 80 presents peak demand-to-energy ratios for various appliances, calculated by the Evaluator or based on specific data sources like the NREL ResStock end-use load profiles. The data includes ratios for refrigerators, freezers, dehumidifiers, and other appliances, with sources citing the Navigant 2016-2018 DSM Plan and other studies.
Table 82: Electrical Unitary Savings Values for Clotheslines and Outdoor Drying Racks Parameter Value Source Number of Laundry Loads per Year [loads/year] 197 Research to update this value showed that it hardly changed, so the one establis...
AI summary Table 82 provides electrical unitary savings values for clotheslines and outdoor drying racks, including parameters like laundry loads per year, proportion of loads dried on clotheslines, energy consumption per load, and calculated unitary energy savings. The data references sources from 2011 and 2015.
t factor is based on the metering protocol of the New York Department of Public Service[128](#page-170-7) and the part-use factor is calculated based on 2022 participant survey data.[129](#page-170-8) For refrigerators replaced through Hom...
AI summary The calculation of unitary savings for refrigerators replaced via HomeWarming and MHEEP uses 1994-era energy consumption data, assumes primary refrigerator replacements, and relies on EnerGuide and ENERGY STAR product ratings from tracking sheets (2021–2023). Part-use factors are omitted due to program criteria.
nt of Public Service, New York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs - Residential, Multi-Family, and Commercial/Industrial Measures, April 15, 2019, p. 29. 129 Econoler, Residential Efficient Prod...
AI summary The text references a report on estimating energy savings from efficiency programs and a DSM evaluation report, including a table with parameters and unitary savings calculations for refrigerator retirement and replacement measures.
Table 84: Electrical Unitary Savings Values for Refrigerator Retirements/Replacements Parameter Symbol Manufacture year Class ARet (Retirement) HomeWarming / MHEEP (Replacement) Reference ft.3 Full-sized Refrigerators (≥ 10 ) Small Refrige...
AI summary This table presents electrical unitary savings values for refrigerator retirements and replacements, including parameters like annual consumption, refrigerator size, and energy savings. It includes data from various sources such as NRCan and NYPDS, and covers different refrigerator classes and years of manufacture.
t factor is based on the metering protocol of the New York Department of Public Service[138](#page-173-7) and the part-use factor is calculated based on 2022 participant survey data.[139](#page-173-8) For freezers replaced through HomeWarm...
AI summary The text details methodology for calculating unitary energy savings for freezers replaced via HomeWarming and MHEEP programs, using 1994-era freezer data and EnerGuide ratings. It notes no part-use factor applies due to primary freezer replacement criteria and cites data sources including survey results and ENERGY STAR tools.
nt of Public Service, New York Standard Approach for Estimating Energy Savings from Energy Efficiency Programs - Residential, Multi-Family, and Commercial/Industrial Measures, April 15, 2019, p. 29. 139 Econoler, Residential Efficient Prod...
AI summary The text references a report on estimating energy savings from energy efficiency programs and a final evaluation of the Residential Efficient Product Rebates Program. It also mentions a table that presents parameters and unitary savings calculations for specific measures.
Parameter Symbol ARet, ASFH, MHEEP Instant Savings Average Water Removal Capacity [L/day] 𝐴𝑊𝑅𝐶 3.87 2011 OPA Average Operating Days [days/year] 𝐴𝑂𝐷 168 2011 OPA Energy Factor of the Baseline Dehumidifier [L/kWh] 𝐸𝐹𝑏𝑎𝑠𝑒 0.66 1.60 ARet: 2011...
AI summary The table presents parameters related to average water removal capacity, average operating days, and energy factors for baseline and new ENERGY STAR certified dehumidifiers, along with energy savings calculations. The data is sourced from various regulatory proceedings and tracking sheets.
Table 91: ENERGY STAR Certified Clothes Dryer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure ENERGY STAR certified clothes dryers rebated in store - Baseline New non-ENERGY STAR certified...
AI summary Table 91 summarizes the energy savings parameters for ENERGY STAR certified clothes dryers, including unitary energy savings, peak demand-to-energy ratio, and effective useful life. The measure involves rebating these dryers in store, with a 100% installation rate and a 12-year useful life.
Table 94: Clothes Washer Energy Consumption Parameter Symbol Value for Baseline Clothes Washer Value for Efficient Clothes Washer Reference Number of Loads [Loads/Year] 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝐿𝑜𝑎𝑑𝑠 218 2015 NRCan152 Capacity [L] 𝐶𝑎𝑝𝑎𝑐𝑖𝑡𝑦 127 Weighted a...
AI summary Table 94 compares energy consumption between baseline and efficient clothes washers. It includes parameters such as number of loads, capacity, and integrated modified energy factor (IMEF), with data sourced from Natural Resources Canada and ENERGY STAR Certified Clothes Washers database.
Table 95: Energy Consumption Breakdown for Baseline and Efficient Clothes Washers Energy Consumption Breakdown for Clothes Washers Proportion of Overall Consumption155 Baseline Clothes Washer Electricity Consumption (kWh/year) Efficient Cl...
AI summary Table 95 compares the energy consumption of baseline and efficient clothes washers, breaking down usage by components like water heating and drying. Table 96 provides the proportion of electrical versus non-electrical DHW tanks in Nova Scotia, which is used to calculate energy savings from efficient washers. An adjustment factor of 0.67 is applied for cold water washing, based on Hydro-Québec survey data.
Summary [Table](#page-184-1) 100 presents a summary of the values used to calculate efficient washer-dryer combination unit savings. The detailed methodology follows.
AI summary Table 100 summarizes the values used to calculate efficient washer-dryer combination unit savings, with a detailed methodology provided afterward.
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 outlines the methodology for calculating energy savings from efficient washer-dryer combination units, using data from the NRCan 2015 Survey and weighted average CEF values from 2024 models. It references equations and a table for detailed calculations.
Table 101: Electrical Unitary Savings Values for the Efficient Clothes Dryer Component of Efficient Washer-Dryer Combination Units Parameter Symbol Instant Savings Source Average Dried Loads per Year [load/year] 𝐴𝐷𝐿 197 2015 NRCan159 Avera...
AI summary The table outlines electrical unitary savings values for efficient clothes dryers in washer-dryer combination units, including parameters such as average dried loads, energy factor of new and baseline units, and calculated energy savings. The savings are derived from comparing the energy consumption of efficient and baseline units, adjusted for hot water usage.
Table 104: Water Heating Sources for Clothes Washers DHW Tank Type Proportion Electrical 76% Non-electrical 24% For water heating consumption, an adjustment factor for cold water washing is applied. Thus, to account for the usage of cold w...
AI summary The text discusses the distribution of water heating sources for clothes washers, with 76% being electrical and 24% non-electrical. An adjustment factor of 0.67 is applied to account for cold water washing, based on a Hydro-Québec survey. Tables 105 and 106 provide calculations for electricity consumption of baseline and efficient washers.
Table 105: Electricity Consumption for Baseline Clothes Washers Energy Consumption Component Energy Consumption (kWh/year) Adjustment Factor for Electrical Water Heating Adjustment Factor for Cold Water Usage Adjusted Energy Consumption (k...
AI summary The text presents two tables comparing the electricity consumption of baseline and efficient clothes washers, including adjustments for water heating and cold water usage. It highlights the energy savings achieved by efficient models.
Table 111: Electrical Unitary Savings Values for ENERGY STAR Certified Dishwashers Parameter Symbol Instant Savings Source Baseline Consumption [kWh] Consumptionbase 260 Average of non-ES models in Natural Resources Canada, Searchable prod...
AI summary Table 111 provides electrical unitary savings values for ENERGY STAR certified dishwashers, including baseline and efficient unit consumption, percentages of energy consumption for operation and water heating, and average annual load numbers. These figures are sourced from various organizations and surveys.
The electrical unitary energy savings for humidity sensor for bathroom exhaust fan are calculated using the variables defined and listed in the equation and Table 113 below. $$Energy \ Savings_{fan} \ \left[\frac{kWh}{year}\right] = \% \ S...
AI summary The document discusses the calculation of energy savings for a humidity sensor in a bathroom exhaust fan, using specific equations and data from Table 113. The equations account for variables such as fan usage, airflow, efficiency, and heating energy savings based on humidity and temperature changes.
Table 114: Electrical Heating per Heating Source Savings Values for Humidity Sensors for Bathroom Exhaust Fans Parameter Symbol EPI Reference Density of Air [kg/m3 ] 𝜌 1.293 Convention Heat Capacity of Air [J/kg/°C] 𝐶𝑝 1005 Convention Fan...
AI summary The text presents two tables detailing energy savings values for humidity sensors used in bathroom exhaust fans, including parameters such as air density, heat capacity, operating hours, and COP for different heating sources. The tables also show energy savings calculations for electric resistance and heat pumps.
Table 118: Smart Power Controllers for Audiovisual Equipment Measure Summary Parameter EPI Instant Savings Reference Measure Description and Identification Measure Smart power controllers for audiovisual equipment with direct installation...
AI summary This table provides a summary of the Smart Power Controllers for Audiovisual Equipment Measure, including details on installation rates, effective useful life, and energy savings parameters for two programs: EPI and Instant Savings. It outlines the baseline, measure subcategories, and references for further information.
Table 121: Power Bar with Integrated Timer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Power bars with integrated timer rebated in store - Baseline Power bars without an in...
AI summary Table 121 outlines the Power Bar with Integrated Timer Measure Summary, including parameters such as measure description, baseline, installation rate, effective useful life, and electrical savings parameters like unitary energy savings and peak demand-to-energy ratio. The table provides details on the energy and demand savings associated with this measure.
Table 122 below presents the parameters used in equation below to calculate the electrical unitary savings resulting from the installation of power bars with integrated timers. The methodology and parameters used were drawn from the 2011 O...
AI summary The text presents a formula for calculating energy savings from power bars with integrated timers, referencing the 2011 OPA Prescriptive Measures and Assumptions List. It notes a minor adjustment in the number of days used per year, changing from 360 to 365 days.
For heavy-duty outdoor timers, the electrical unitary energy savings value of 122 kWh is based on the results of the OPA 2012 Consumer Program Evaluation.[187](#page-0-0) The survey conducted for that evaluation states that heavy-duty outd...
AI summary The electrical unitary energy savings value of 122 kWh for heavy-duty outdoor timers is based on the OPA 2012 Consumer Program Evaluation. These timers are used for outdoor lighting, pool pumps, and car block heaters, similar to those sold through the Instant Savings program. Table 124 provides the annual unitary savings value for Instant Savings.
Summary [Table](#page-2-1) 127 presents a summary of the values used to calculate three-element water heater (TEWH) savings. The detailed methodology follows.
AI summary Table 127 summarizes the values used to calculate three-element water heater (TEWH) savings, with the detailed methodology provided in the following text.
Table 132: Solar Photovoltaic System Measure Summary Parameter HEA Reference Measure Description and Identification Measure Solar PV systems of a maximum of 100 kW, rebated after installation - Baseline No solar PV systems General Paramete...
AI summary Table 132 outlines the Solar Photovoltaic System Measure under HEA, including parameters such as installation rate, useful life, and energy savings calculations. Savings are based on SolarHomes projects, using PV Watts with predefined loss factors.
Table 133: Electrical Savings Values for SolarHomes Parameter Symbol Value Reference Modelled Energy Production [kWh] - Varies per project Project documentation, using PV Watts Snow Loss Factor [%] - For panel tilt angles ≥ 25°: 1% Norther...
AI summary Table 133 outlines the electrical savings values for the SolarHomes program, including parameters such as modelled energy production, snow loss factors, adjustment ratios, and unitary energy savings. Savings are calculated by multiplying system capacity in kW by a factor of 1,086 kWh/kW, derived from calibrated data.
Table 135: EUL Values and Sources for Non-LED Lighting Residential Measures Measure Name Thermostatic Shower Valves EPI 10 Efficiency Maine TRM, 2019 New York TRM, 2019: UPC certification under the International Association of Plumbing and...
AI summary Table 135 provides energy unit loss (EUL) values and sources for non-LED lighting residential measures, including thermostatic shower valves, pipe insulation, hot water tank wraps, water heating, and space heating measures like mini-split and central air-source heat pumps.
5.1.3 Adjustment Ratios The adjustment ratios in [Table](#page-23-1) 141 were established through the latest comprehensive impact evaluation for each program. They should be applied for all lighting measures in SBES and BER-AR, except for...
AI summary Adjustment ratios in Table 141 were established through the latest comprehensive impact evaluation for each program and should be applied for all lighting measures in SBES and BER-AR, except for CDI measures and LED roadway lighting measures.
Table 141: 2023 Lighting Gross Savings Adjustments Ratios Program Component Source Evaluation Energy Savings Peak Demand Savings Report Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error SBES Lighting Measures 2023 1.070 5.3...
AI summary Table 141 presents 2023 Lighting Gross Savings Adjustments Ratios for various programs, including SBES Lighting Measures and BER-AR Lighting Measures. The table includes adjustment ratios and margin of error for both energy savings and peak demand savings across different program components.
Table 145: Linear LED Fixture Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Linear LED fixtures (Luminaires, Retrofit Kits, Linear Ambient and Low bay Luminaires), rebated in store Li...
AI summary Table 145 provides a summary of parameters related to linear LED fixture measures, including baseline fixtures, energy savings adjustment ratios, peak demand savings, effective useful life, and interactive effects based on fixture type and facility characteristics.
Table 146: Electrical Unitary Energy Savings Values for Linear LED Fixtures Parameter Symbol Value for BER-IR Value for BER AR and SBES Reference Baseline Wattage [W] 𝐵𝑎𝑠𝑒𝑙𝑖𝑛𝑒 𝑊𝑎𝑡𝑡𝑎𝑔𝑒 Fixed baseline based on fixture type and lumen output A...
AI summary Table 146 outlines the electrical unitary energy savings values for linear LED fixtures, detailing parameters such as baseline wattage, new wattage, and hours of operation. It references Table 147 for baseline wattage calculations based on lumens output for T8 fluorescent luminaires.
Table 148: Linear LED Lamp Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Linear LED lamps, rebated in store Linear LED lamps, rebated after installation See Table 147 for BER-IR basel...
AI summary Table 148 provides a summary of parameters for the Linear LED Lamp Measure, including baseline measures, energy savings adjustment ratios, effective useful life, and interactive effects for recessed and non-recessed lamps. It references Subsections 5.1.1, 5.1.2, 5.1.3, and 6.1 for detailed calculations and explanations.
Table 149: Electrical Unitary Energy Savings Values for Linear LED Lamps Parameter Symbol Value for BER-IR Value for BER- AR and SBES Reference Baseline Wattage [W] Baseline Wattage Based on fixture type and lumen output Actual Based on sp...
AI summary Table 149 outlines the parameters for calculating electrical unitary energy savings values for linear LED lamps under the Building Energy Retrofit - Instant Rebate (BER-IR) and Building Energy Retrofit - Annual Report (BER-AR) programs. Key parameters include baseline wattage, ballast factor, hours of operation, and energy savings calculations. Table 150 provides baseline wattage values for six subcategories of linear LED lamps based on the Duke Energy Fixture Wattage Table.
Table 151: Outdoor LED Fixture Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Outdoor LED fixtures, rebated in store Outdoor LED fixtures, rebated after installation See Table 153 and...
AI summary Table 151 presents a summary of outdoor LED fixture measures, including details on baseline fixtures, energy savings adjustment ratios, peak demand savings, and useful life. The table compares different rebate programs such as BER-IR and BER-AR, and references specific subsections for further details on calculations and parameters.
Table 152: Electrical Unitary Energy Savings Values for Outdoor LED Fixtures Parameter Symbol Value for BER-IR Value for BER- AR and SBES Reference Baseline Wattage [W] Baseline Wattage Based on fixture type and lumen output Actual IR: See...
AI summary Table 152 outlines electrical unitary energy savings values for outdoor LED fixtures, including baseline and new wattage, hours of operation, and energy savings calculations. The data is based on fixture type, lumen output, and specification data for each rebated unit.
Both subcategories are divided into groups by lumens output to assign the correct baseline wattages, and the baseline technology used for each subcategory differs. Weighted averages of 50% MH and 50% HPS fixture system wattages are used to...
AI summary The text discusses the categorization of outdoor wall-mounted area luminaires based on lumens output to assign baseline wattages, using a weighted average of 50% MH and 50% HPS fixture system wattages for different subcategories.
Lumens Range MH Baseline Fixture Wattage (W) HPS Baseline Fixture Wattage (W) Weighted Average Baseline Wattage (W) ≥ 300 and < 2,000 43 46 44.5 ≥ 2,000 and < 5,000 95 95 95.0 ≥ 5,000 and < 15,000 295 250 272.5 ≥ 15,000 and < 25,000 458 46...
AI summary The document presents tables comparing the wattage of baseline fixtures (MH and HPS) across different lumens ranges for architectural flood and spot luminaires. These tables are used to calculate energy savings for efficient LED fixtures. The baseline data is derived from the Duke Energy Fixture Wattage Table.
Table 155: Directional and Architectural LED Fixture Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identific cation Measure Directional and architectural LED fixtures, rebated in store Directional an LED fi...
AI summary Table 155 provides a summary of energy savings parameters for directional and architectural LED fixtures under various programs, including baseline measures, energy savings adjustment ratios, and useful life estimates. The table references additional details in other sections of the document.
Table 158: Occupancy/Motion Sensor Measure Summary Parameter BER-IR BER-AR SBES Reference Measure Description and Identification Measure Occupancy/Motion sensors, rebated in store Occupancy/Motion sensors, rebated after installation - Base...
AI summary Table 158 provides a summary of occupancy/motion sensor measures, including details on energy savings adjustment ratios, peak demand savings, effective useful life, and other parameters. It outlines differences between BER-IR and BER-AR programs and references subsections for further details.
Table 159: Electrical Unitary Energy Savings Values for Occupancy/Motion Sensors Parameter Type of Occupancy Sensor Value for BER-IR Value for BER AR and SBES Reference Connected Wattage (W) Interior 110 Actual Average connected wattage fo...
AI summary Table 159 presents electrical unitary energy savings values for occupancy/motion sensors, including connected wattage, savings factors, and hours of operation. The data is based on installations through BER-AR and SBES from 2021 to 2023, with some values derived from the 2023 Efficiency Vermont TRM.
Table 161: LED Nightlight Measure Summary Parameter SBES Reference Measure Description and Identification Measure LED nightlights through direct installation N/A Baseline Existing nightlight being replaced, which must be incandescent Gener...
AI summary Table 161 outlines the LED nightlight measure summary, including parameters such as installation rate, energy savings adjustment ratio, and unitary energy savings. It provides details on the measure description, baseline, and various energy and demand savings factors.
Table 164: Electrical Unitary Energy Savings Values for LED Roadway Lighting Parameter Value Reference Old Wattage [W] Actual Use information in TS New Wattage [W] Actual Use information in TS Hours of Operation [hrs/year] Actual or 4662 C...
AI summary Table 164 outlines the parameters and calculations for determining electrical unitary energy savings from LED roadway lighting, including old and new wattage, hours of operation, and energy savings calculations based on specification data for each rebated unit.
Table 166: Electrical Unitary Energy Savings Values for Horticultural Lighting BER-AR Parameter Symbol Retrofit New Construction Reference Baseline Wattage [W] Wb Actual 1,000 Retrofit: Use information in TS New Construction: 2020 Iowa TRM...
AI summary Table 166 outlines the parameters and reference data used to calculate unitary energy savings for horticultural lighting, including baseline wattage, quantity, new wattage, hours of operation, and energy savings interactive effects factor, with references to technical sheets and other sources.
Table 167: Unitary Peak Demand Savings Values for Horticultural Lighting BER-AR Reference Parameter Symbol Retrofit New Construction Peak Coincidence Factor [-] PCF Actual Use information in TS Energy Savings Interactive Effects Factor [-]...
AI summary Table 167 presents unitary peak demand savings values for horticultural lighting, including parameters such as the peak coincidence factor and energy savings interactive effects factor, with references to technical sheets and conventions for calculations.
The electrical energy unitary savings for circulator pumps are calculated using the equation below and savings data from Vermont adapted to Nova Scotia using each jurisdiction's average operating hours. Although the max input power tiers d...
AI summary The document discusses the calculation of electrical energy unitary savings for circulator pumps in Nova Scotia, using an equation adapted from Vermont data and adjusted for each jurisdiction's average operating hours. The calculation uses E1's tiers, which differ slightly from Vermont's TRM tiers but are considered minimal.
Table 170: Unitary Peak Demand Savings Values for Circulator Pumps BER-IR Parameters Max Input Power < 150 W Max Input Power ≥ 150 W and < 500 W Max Input Power ≥ 500 W and < 2,500 W Reference Average Demand Savings [kW] 0.0675 0.0953 0.12...
AI summary Table 170 provides unitary peak demand savings values for circulator pumps based on different maximum input power ranges, referencing a 2018 Vermont TRM and including assumptions about peak coincidence factors and calculations.
Summary [Table](#page-47-0) 171 presents a summary of the values used to calculate booster pump savings. The detailed methodology follows.
AI summary Table 171 summarizes the values used to calculate booster pump savings, with the detailed methodology provided in the following sections.
Table 172: Electrical Unitary Energy Savings Values for Booster Pumps Parameter Symbol BER-AR Reference Rated Horsepower of the New Booster Pump or Pumping System [HP] 𝐻𝑃𝑒𝑒 Specification data for each system Tracking sheet Reduction in the...
AI summary Table 172 provides electrical unitary energy savings values for booster pumps, including parameters such as rated horsepower, energy savings per horsepower, and annual unitary energy savings. The data includes values derived from a 2020 Hawaii TRM218 reference and calculation results.
Summary [Table](#page-50-1) 175 presents a summary of the values used to calculate electric thermal storage savings. The detailed methodology follows.
AI summary Table 175 summarizes the values used to calculate electric thermal storage savings, with a detailed methodology provided in the document.
Table 176: Advanced RTU Control Measure Summary Parameter BER-AR Reference Measure Description and Identification Measure Advanced RTU controls that include demand-controlled ventilation (DCV) and an optional variable frequency drive (VFD)...
AI summary Table 176 outlines the parameters for advanced RTU control measures, including energy savings adjustment ratios, effective useful life, and calculation methods for unitary energy and peak demand savings. These measures include demand-controlled ventilation and variable frequency drives.
$$\begin{split} Energy \, Savings \, _{kWh} \\ &= \frac{1}{12,\!000} \, \times \left( Capacity_{cool} \times (AC \times CESF_{DCV} + VFD \times FESF_{VFD} \,) \right. \\ &+ ElecHeat \times \frac{Capacity_{heat} \times HESF_{DCV}}{COP_{heat...
AI summary The text presents a mathematical formula for calculating energy savings in kWh, incorporating factors such as cooling and heating capacities, efficiency factors for demand-controlled ventilation and variable frequency drives, and the coefficient of performance for heating systems.
Table 177: Electrical Unitary Energy Savings Values for Advanced RTU Controls Parameter Symbol BER-AR Reference Indicator of Cooling in the RTU AC RTU with AC: 1 RTU without AC: 0 - Indicator of Electrical Heating in the RTU ElecHeat RTU w...
AI summary Table 177 outlines the electrical unitary energy savings values for advanced RTU controls, including parameters such as cooling indicators, COP of heating equipment, and energy savings factors for DCV and VFD. The table provides reference data and calculation methods for energy savings based on specification data for each system.
∙day, Government of Canada). Heating energy savings factors per capacity were multiplied by the COP assumption of 2.3 (2021 Illinois TRM) to obtain heating energy savings factors per capacity and COP. 227 For primary and secondary educatio...
AI summary The text discusses energy savings factors for various building types, including assumptions for heating and cooling based on full load hours, and calculations for unitary peak demand savings from advanced RTU controls. It also notes the lack of data on DCV peak demand savings for Nova Scotia's load shape.
Table 182: Electrical Unitary Energy Savings Calculation for Smart Thermostats for Electric Heating Parameter Symbol Value for Electric Baseboard Value for MSHP Value for Electric In-floor Heating Value for Central Heat Pumps Reference Ave...
AI summary Table 182 provides a calculation of electrical unitary energy savings from smart thermostats for different heating systems, including electric baseboard, MSHP, electric in-floor heating, and central heat pumps. The table includes parameters such as average heating energy consumption, savings percentage, and coefficient of performance (COP). The calculation assumes no peak demand savings from smart thermostats.
Table 183: Air-source Heat Pumps Less Than 65,000 Btu/h, Measure Summary Parameter BER-AR SBES AMH (prescriptive) AMH (comprehensive) Reference Measure Description and Identification Measure Air-source heat pump less than 65,000 Btu/h used...
AI summary Table 183 summarizes air-source heat pumps under 65,000 Btu/h, including parameters like energy savings adjustment ratios, peak demand savings, and useful life. The table references specific subsections and calculation methods for energy and peak demand savings, with a note about the adjustment ratio being temporary for the 2024 AMH evaluation.
$$\Delta kWh = \left(HC \left[\frac{1}{HSPF2_{base}} - \frac{1}{HSPF2_{ee}}\right] FLH_h + CC \left[\frac{1}{SEER2_{base}} AC - \frac{1}{SEER2_{ee}}\right] FLH_c\right)$$ Table 184: Electrical Unitary Energy Savings Values for Air-source H...
AI summary The document provides a formula to calculate electrical unitary energy savings for air-source heat pumps under 65,000 Btu/h. It includes parameters such as heating and cooling seasonal performance factors, full load hours, and cooling seasonal energy efficiency ratios, referencing the Minnesota TRM for FLH values in climate zone 4b.
Table 186: Unitary Peak Demand Savings Values for Air-source Heat Pumps Less Than 65,000 Btu/h Parameter Symbol BER-AR, SBES, AMH (prescriptive) Reference Heat Pump Rated Heating Capacity at -15°C (estimated temperature during NS peak dema...
AI summary The text presents a table detailing unitary peak demand savings values for air-source heat pumps with a rated heating capacity less than 65,000 Btu/h. It outlines parameters such as heat pump capacity, coefficient of performance, peak coincidence factor, and peak demand savings calculations. Assumptions and references for estimation methods are also included.
Table 187: Air-source Heat Pumps Greater Than 65,000 Btu/h, Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure system, rebated after installation Air-source heat pump greater than 65,000 Btu/h, g...
AI summary This table outlines energy savings parameters for air-source heat pumps greater than 65,000 Btu/h, including adjustment ratios, useful life, and calculation methods based on specification data for each rebated unit.
Table 188: Electrical Unitary Energy Savings Values for Air-source Heat Pumps Greater Than 65,000 Btu/h Parameter Symbol BER-AR, SBES Reference Heat Pump Rated Heating Capacity [kBtu/hr] 𝐻𝐶 Actual Use information in TS Heating Efficiency F...
AI summary Table 188 outlines the electrical unitary energy savings values for air-source heat pumps with a capacity greater than 65,000 Btu/h. It includes parameters such as heating and cooling efficiency factors, full load hours, and energy savings calculations, referencing the Minnesota TRM for FLH data from Duluth, Minnesota, in climate zone 4b.
Table 192: Electrical Unitary Savings Values for Dual Enthalpy Economizer Controls Parameter Symbol BER-AR, SBES Reference Savings Factor SF SF (<5.4 tonnes) = 4,576 SF (>5.4 tonnes) = 3,318 Vermont TRM, 2015245 Annual kWh savings per tonn...
AI summary Table 192 provides electrical unitary savings values for dual enthalpy economizer controls, including parameters such as savings factor, tonnage of cooling equipment, operational testing factor, energy efficiency ratio, and unitary energy savings. The data is based on reference materials from Vermont TRM and simulation modeling for Burlington, VT.
Table 201: Electrical Unitary Energy Savings Values for Low-flow Showerheads Parameter Symbol Value Reference Proportion of Water Heating Supplied by Electric Resistance Heating %ElectricDHW 100% Electrical energy savings will only be clai...
AI summary Table 201 presents electrical unitary energy savings values for low-flow showerheads, including parameters like baseline and low-flow rates, annual shower time, and energy efficiency factors. The table includes calculations and references for values such as electric water heater efficiency and unit conversions.
Table 202: Average Showerhead Usage Building Type Annual Minutes per Showerhead (SHtime) Weight Reference Hospitality 3,509 86% Annual minutes per Health 2,528 0% showerhead: Iowa Energy Efficiency TRM – 2021253 Education 2,057 0% Commerci...
AI summary Table 202 provides data on average showerhead usage across different building types, including annual minutes per showerhead and weights assigned to each category. The data is sourced from various references, such as the Iowa Energy Efficiency TRM and SBES 2021 tracking sheets. The weighted average annual minutes per showerhead is calculated as 3,419.
Table 203: Faucet Aerator Measure Summary Parameter SBES Reference Measure Description and Identification Measure Faucet aerators, with direct installation - Baseline No faucet aerator on standard flow-rate faucets General Parameters Insta...
AI summary Table 203 provides a summary of the Faucet Aerator Measure under the SBES program, detailing parameters such as installation rate, energy savings, and peak demand savings. The table references subsections and a technical reference manual for further details.
Table 208: Pipe Insulation Measure Summary Parameter SBES Reference Measure Description and Identification Measure Added pipe insulation to hot water copper pipes, with direct installation - Baseline No pipe insulation General Parameters I...
AI summary Table 208 outlines the parameters for the pipe insulation measure, including installation rate, effective useful life, energy savings, and peak demand savings. It provides detailed values for unitary energy savings and peak demand-to-energy ratio.
$$R_{layer} = \frac{\ln\binom{r_e}{r_i}}{2\pi k}$$ $$R_{cyl} = R_{layer1} + R_{layer2}$$ $$Q_{cyl} = \frac{T_i - T_e}{R_{cyl}} L$$ $$Q_{top} = \frac{A_{top} \times (T_i - T_e)}{R_{top}}$$ $$Q_{total} = Q_{cyl} + Q_{top}$$ $$Energy Savings_...
AI summary The text provides equations for calculating thermal resistance and energy savings from hot water tank wraps, assuming residential usage patterns. It references a table with values used in these calculations.
Table 217: Electrical Unitary Energy Savings Values for Compressed Air Leak Repairs Parameter Symbol Value Reference Size of Leak [cfm] - Actual Project documentation Plant Efficiency [kW/100 cfm] - Actual (If unknown, use 19.7 kWh/100 cfm...
AI summary Table 217 outlines the parameters and calculations involved in determining electrical unitary energy savings from compressed air leak repairs, including size of leak, plant efficiency, hours of use, and calculated unitary energy savings.
Table 220: Electrical Unitary Energy Savings Values for Cycling Air Dryers Parameter Symbol BER-AR, SBES Reference Compressor Motor Nominal Horsepower [HP] hpcomp Actual Use information in TS Hours of Use [hours/year] HOU Actual or 1-shift...
AI summary Table 220 outlines parameters and values used to calculate electrical unitary energy savings for cycling air dryers, including compressor motor horsepower, hours of use, average capacity, and response time derate, referencing specific sources and calculation methods.
Table 223: Electrical Unitary Energy Savings Values for Air-entraining Air Nozzles Parameter Symbol BER-AR, SBES Reference Compressor kW/CFM COMP Modulating w/ BD = 0.32 Load/No Load w/ 1 gal/CFM = 0.32 Load/No Load w/ 3 gal/CFM = 0.30 Loa...
AI summary Table 223 provides energy savings values for air-entraining air nozzles, including parameters like compressor kW/CFM, baseline and efficient nozzle CFM, and hours of use. Calculations for unitary energy savings are based on data from the table and referenced materials.
Table 226: Electrical Unitary Energy Savings Values for No-loss Drains Parameter Symbol BER-AR, SBES Reference Air Loss Rate [CFM] ALR See Table 227 Vermont TRM (2015)279 Compressor Efficiency [kW/CFM] COMP Modulating w/ BD = 0.32 Load/No...
AI summary This document provides tables and references related to energy savings values for no-loss drains, including parameters such as air loss rate, compressor efficiency, and adjustment factors. These values are based on data from the Vermont TRM (2015) and are used for calculating unitary energy savings.
Table 229: VFD Measure Summary Parameter BER-AR Reference Measure Description and Identification Measure Variable frequency drive for non-HVAC applications, installed after installation - Baseline No VFD General Parameters Installation Rat...
AI summary Table 229 outlines the VFD Measure Summary, detailing parameters such as installation rate, effective useful life, and energy savings calculations for variable frequency drives in non-HVAC applications. The table provides a baseline and specific savings factors, referencing additional subsections for detailed information.
Table 230: Electrical Unitary Energy Savings Values for VFD Pumps and Fans Parameter Symbol Value Reference Rated Horsepower of the Motor [HP] HP Varies per project Project documentation Motor Load Factor [%] LF Varies per project (If unkn...
AI summary Table 230 provides electrical unitary energy savings values for VFD pumps and fans, outlining parameters such as motor horsepower, load factor, efficiency, and annual operating hours. The table references project documentation and the Minnesota TRM for data inputs and includes a calculation for unitary energy savings based on system specifications.
Table 232: Electrical Unitary Peak Demand Values for VFDs for non-HVAC Applications Parameter Symbol Value Reference Part Load Ratio for the Average Flow Fraction During the Weekday Peak Time Period PLR Baseline,FFpeak Based on baseline co...
AI summary Table 232 presents parameters related to electrical unitary peak demand values for VFDs in non-HVAC applications, including part load ratios, peak coincidence factors, and unitary peak demand savings. These values are calculated based on baseline control, VFD control, and project documentation.
Summary [Table](#page-103-0) 237 presents a summary of the values used to calculate solar air heating savings. The detailed methodology follows.
AI summary Table 237 summarizes the values used to calculate solar air heating savings, with a detailed methodology provided in the following text.
Summary [Table](#page-105-0) 238 presents a summary of the values used to calculate electrical cooler night cover and display strip curtain savings. The detailed methodology follows.
AI summary Table 238 summarizes values used to calculate electrical cooler night cover and display strip curtain savings, with the detailed methodology provided afterward.
Table 242: Electrical Unitary Energy Savings Values for Zero-energy Doors Parameter Symbol BER, SBES Reference Connected Load of a Typical Reach-in Cooler Door and Frame with Electric Heaters [kW] kWdoor 0.131 Vermont TRM, 2015291 Bonus Fa...
AI summary The text presents Table 242, which outlines parameters and calculations for electrical unitary energy savings values associated with zero-energy doors. It includes connected load, bonus factor, hours of use, and unitary energy savings calculations based on specification data for each rebated unit.
Table 253: Vertical Refrigeration Open-to-closed Cooler Conversion Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Doored vertical refrigeration units, rebated after installation - Baseline O...
AI summary Table 253 provides a summary of the Vertical Refrigeration Open-to-closed Cooler Conversion Measure, including parameters such as installation rate, effective useful life, and energy savings calculations. The table outlines details related to electrical savings, peak demand savings, and interactive effects factors.
Table 254: Electrical Unitary Energy Savings Values for Vertical Refrigeration Open-to-closed Cooler Conversion Parameter Symbol BER-AR, SBES Reference Open-to-closed Case Savings Factor [kWh/(day feet)] OCSF With anti-sweat heaters = 0.5...
AI summary Table 254 outlines electrical unitary energy savings values for converting vertical refrigeration open-to-closed coolers, including parameters like open-to-closed case savings factor, operational days, and length of refrigerated space. It references the International Refrigeration and Air Conditioning Conference and provides calculation methods for energy savings.
Table 255: Unitary Peak Demand Savings Values for Vertical Refrigeration Open-to-closed Cooler Conversion Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF 1 See Subsection 5.9.2 Hours of Use [h/year] HOU Actual Use infor...
AI summary Table 255 presents unitary peak demand savings values for vertical refrigeration open-to-closed cooler conversion, including parameters such as the Peak Coincidence Factor (PCF), Hours of Use (HOU), and Unitary Peak Demand Savings (∆𝑘𝑊). It references Subsection 5.9.2 and the use of information in TS for HOU.
Table 257: Electrical Unitary Energy Savings Values for Efficient Refrigeration Compressors Parameter Symbol BER-AR, SBES Reference Compressor Capacity at Standard Rating Conditions [Btu/h] 𝐶𝐴𝑃𝑎𝑣𝑔,𝑒𝑒 Actual Use information in TS Energy Eff...
AI summary The document presents tables detailing energy efficiency ratios (EER) for baseline and efficient refrigeration compressors under different temperature conditions. The tables include parameters such as compressor capacity, full load hours, and unitary energy savings, with references to technical manuals and calculation methods.
With fan control installed $$\Delta kWh = (HP\ x\ kWh_{cond}) + \left(\left(\left(kW_{evap}\ x\ n_{fans}\right) -\ kW_{circ}\right)x\ HRS\ x\ DC_{comp}\ x\ BF\right) - \left(kW_{econ}\ x\ DC_{econ}\ x\ HOU\right)$$ Without fan control inst...
AI summary The text provides two equations for calculating energy savings (ΔkWh) in a heating system, one with fan control installed and one without. The equations include variables such as heat pump (HP), condensation kWh (kWh_cond), evaporator kW (kW_evap), fan count (n_fans), circulation kW (kW_circ), hours (HRS), demand charge (DC_comp), billing factor (BF), economic kW (kW_econ), economic demand charge (DC_econ), and hours of use (HOU).
Table 262: Electrical Unitary Energy Savings Values for Refrigeration Economizers Parameter Symbol BER-AR, SBES Reference Power of Compressor [HP] HP Actual Use information in TS Condensing Unit Savings, per hp [kWh] kWhcond Hermetic / Sem...
AI summary Table 262 presents electrical unitary energy savings values for refrigeration economizers, including parameters such as compressor power, condensing unit savings, hours of use, and connected load values. The table references data from Vermont TRM and includes assumptions adjusted for the Nova Scotia market.
Table 264: Brushless DC Motor Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure Brushless DC motors (or electrically commutated motors – ECM) for cooler of freezer evaporator fan, rebated after...
AI summary This table provides a summary of the Brushless DC Motor Measure, including details on energy savings, installation rates, and useful life. It outlines the baseline motor type, savings parameters, and factors related to energy and peak demand savings.
Table 265: Electrical Unitary Energy Savings Values for Brushless DC Motors Parameter Symbol Value for BER-AR and SBES Reference Motor Output [kW] kWoutput 0.015 for cases and 0.042 for walk-ins Iowa TRM, 2023 Baseline Motor Efficiency [-]...
AI summary Table 265 presents electrical unitary energy savings values for brushless DC motors, including parameters such as motor output, efficiency, hours of use, and energy savings calculations. The table references various studies and assumptions for parameter values.
Table 270: Agriculture Gross Savings Adjustments Path and Measure Category Energy Savings Peak Demand Savings Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error Projects Sampled in Project Reviews BER-AR Agriculture Measures...
AI summary Table 270 presents Agriculture Gross Savings Adjustments, including Energy Savings and Peak Demand Savings with adjustment ratios and margin of error. The section discusses BER-AR Agriculture Measures with specific adjustment ratios and margin of error percentages.
Summary [Table](#page-125-1) 271 presents a summary of the values used to calculate high volume low speed fan savings. The detailed methodology follows.
AI summary Table 271 summarizes the values used to calculate high volume low speed fan savings, with a detailed methodology provided in the document.
Table 271: High Volume Low Speed Fan Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure CSA / cUL rated High Volume Low Speed (HVLS) fans for agricultural facilities, rebated after installation -...
AI summary Table 271 presents a summary of the High Volume Low Speed Fan Measure under the Business Energy Rebates (BER) and Standard Building Efficiency Standards (SBES). It outlines parameters such as energy savings adjustment ratios, peak demand savings ratios, and useful life, along with references to specific subsections and tables for detailed calculations.
$$\Delta kWh = (P_b \ x \ QTY_b - P_e \ x \ QTY_e) \ x \ HOU/1,000$$ Table 272: Electrical Unitary Energy Savings Values for High Volume Low Speed Fans Parameter Symbol BER-AR, SBES Reference Power of the Baseline Fans [W] Pb Actual or bas...
AI summary The document presents a formula for calculating unitary energy savings (∆kWh) for high volume low speed (HVLS) fans based on baseline and new fan power consumption, quantity, and hours of use. It also provides a table with parameters and values used in the calculation.
The unitary peak demand savings for high volume low speed fans are calculated using the variables defined and listed in the equation and [Table](#page-126-3) 273 below, as well as variables from [Table](#page-126-1) 272 above. $$\Delta kW...
AI summary The unitary peak demand savings for high volume low speed fans are calculated using an equation that incorporates variables defined in two tables and the Peak Coincidence Factor (PCF). The formula is presented as Δ𝑘𝑊 = (P_b x QTY_b - P_e x QTY_e) x PCF/1000.
Table 274: Energy Efficient Ventilation and Circulation Fan Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Ventilation Fan: BESS or AMCA listed rated High - Efficiency Ventilation Fan (Exhaus...
AI summary Table 274 outlines the Energy Efficient Ventilation and Circulation Fan Measure Summary, detailing parameters such as energy savings adjustment ratios, peak demand savings adjustment ratios, and effective useful life for ventilation and circulation fans. The table provides minimum efficiency standards and rebates for installation.
$$\Delta kWh = LC x ARL x \frac{1}{ER} x SF x HOU x QTY /1,000$$
AI summary The text presents a formula for calculating the change in kilowatt-hours (ΔkWh), incorporating variables such as load characteristic (LC), average residential load (ARL), energy recovery (ER), system factor (SF), hours of use (HOU), and quantity (QTY).
Table 281: Electrical Unitary Energy Savings Values for Zero-energy and Low-energy Livestock Waterers Parameter Symbol BER-AR, SBES Reference Wattage of the Heater in the Old Waterer Pb Actual or 800 Use information in TS Default: IESO Pre...
AI summary Table 281 outlines parameters for calculating electrical unitary energy savings for zero-energy and low-energy livestock waterers, including wattage of heaters, quantity, and hours of use. The data is used in conjunction with Table 282 to calculate peak demand savings.
Summary [Table](#page-134-0) 283 presents a summary of the values used to calculate agriculture heat pad savings. The detailed methodology follows.
AI summary Table 283 summarizes the values used to calculate agriculture heat pad savings, with the detailed methodology provided in the following text.
Table 287: Electrical Unitary Energy Savings Values for Tractor Engine Block Heater Timers Parameter Symbol BER-AR, SBES Reference Power Consumption of Engine Block Heater [W] Pheater Actual Use information in TS Baseline Hours of Use [h/d...
AI summary Table 287 outlines parameters for calculating electrical unitary energy savings values for tractor engine block heater timers, including power consumption, baseline and efficient hours of use, and days per year the heater is used. The table provides references for default values and calculation methods.
Summary [Table](#page-138-1) 289 presents a summary of the values used to calculate dairy scroll compressor unit savings. The detailed methodology follows.
AI summary Table 289 summarizes the values used to calculate dairy scroll compressor unit savings, with the detailed methodology provided in the following text.
Summary [Table](#page-148-0) 304 presents a summary of the values used to calculate electrical dishwasher savings. The detailed methodology follows.
AI summary Table 304 summarizes values used to calculate electrical dishwasher savings, with a detailed methodology provided in the document.
Table 312: Unitary Peak Demand Savings Values for Fryers Parameter Symbol BER-AR, SBES Reference Peak Coincidence Factor PCF Actual or 0.68 As per Subsection 5.11.2 Unitary Peak Demand Savings [W] 𝑃𝑒𝑎𝑘 𝐷𝑒𝑚𝑎𝑛𝑑 𝑆𝑎𝑣𝑖𝑛𝑔𝑠𝑘𝑊 Calculation based on...
AI summary Table 312 presents unitary peak demand savings values for fryers, including the Peak Coincidence Factor (PCF) and calculation methods for peak demand savings. The table references Subsection 5.11.2 and outlines installation rates for energy efficiency programs.
Table 313: Griddle Measure Summary Parameter BER-AR, SBES Reference Measure Description and Identification Measure ENERGY STAR® rated griddle, rebated after installation - Baseline Standard electric griddle - General Parameters Installatio...
AI summary The table outlines the parameters for the ENERGY STAR® rated griddle measure under the Business Energy Rebates (BER) program. It includes details such as the baseline standard electric griddle, installation rate, useful life, and energy savings calculations based on specification data for each rebated unit.
Summary [Table](#page-155-0) 316 presents a summary of the values used to calculate electrical hot food holding cabinets savings. The detailed methodology follows.
AI summary Table 316 summarizes the values used to calculate electrical hot food holding cabinets savings, with a detailed methodology provided afterward.
Summary [Table](#page-158-0) 322 presents a summary of the values used to calculate electrical ovens savings. The detailed methodology follows.
AI summary Table 322 summarizes the values used to calculate electrical ovens savings, with the detailed methodology provided in the following text.
Summary [Table](#page-160-0) 325 presents a summary of the values used to calculate electrical steam cooker savings. The detailed methodology follows.
AI summary Table 325 summarizes the values used to calculate electrical steam cooker savings, with a detailed methodology provided afterward.
Summary [Table](#page-162-1) 328 presents a summary of the values used to calculate commercial washing machine savings. The detailed methodology follows.
AI summary Table 328 outlines the values used to calculate commercial washing machine savings, with a detailed methodology provided in the document.
$$\Delta kW = \frac{Load_{avg} x \left(\frac{1}{CEF_{base}} - \frac{1}{CEF_{ee}}\right)}{time_{cycle}} x PCF x QTY$$
AI summary The text provides a mathematical formula used to calculate the change in kilowatts (ΔkW) based on load average, energy efficiency factors, time cycle, peak demand savings factor, and quantity.
Table 336: Unitary Peak Demand Savings Values for Demand Controlled Kitchen Exhaust Parameter Symbol BER-AR, SBES Reference Demand Savings Factor (kW/hp) DSVG 0.76 Pennsylvania TRM 2016 Peak Coincidence Factor PCF 0.68 As per Subsection 5....
AI summary Table 336 presents unitary peak demand savings values for demand controlled kitchen exhaust, including parameters like Demand Savings Factor and Peak Coincidence Factor, along with their respective values and references.
The electrical unitary energy savings for server-based power management software are calculated using the variables defined and listed in the equation[342](#page-168-1) and [Table](#page-169-0) 338 below. $$\Delta kWh = ESF_D Q_D + ESF_L Q...
AI summary The document explains how electrical unitary energy savings for server-based power management software are calculated using the equation Δ kWh = ESF_D Q_D + ESF_L Q_L, with reference to a technical manual and a table.
Table 345: EUL Values for BNI LED Lamps and Fixtures Measure Program Component Average Rated Lifetime (hours) Annual HOU (hours/year) Equipment Life 2024 Equivalent EUL LED Ceiling Mount, LED Surface Mount, LED Solid State Retrofit, LED In...
AI summary Table 345 presents Effective Useful Life (EUL) values for various BNI LED lamps and fixtures, including details such as average rated lifetime, annual hours of use, equipment life, and 2024 equivalent EUL for different measures and program components.
Table 346: EUL Values for Non-LED Lighting BNI Measures Measure Name Program Component EUL Value Reference Air-source Heat Pumps Greater Than or Equal to 65,000 Btu/hr BER-AR, SBES 20 California Public Utilities Commission, 2024349 (Value...
AI summary Table 346 provides Effective Useful Life (EUL) values for various non-LED lighting Business Energy Rebates (BER) measures, including heat pumps and economizer controls, with references from regulatory bodies and research institutions.
Verification of Climate Validity for Interactive Effects Calculations The climate data of Nova Scotia and Quebec for the duration of the heating and cooling seasons were analyzed as part of the 2015 evaluation and found to be comparable, a...
AI summary The 2015 analysis compared Nova Scotia and Quebec's climate data for heating/cooling seasons, finding them comparable, thus applying the 1992 ADS study results to E1 lighting measures.
LED A-type Lamps LED A-type lamps installed under EPI replace incandescent lamps. The calculation is based on 9 W lamps because they are the most common A-type lamps installed through EPI. The first baseline increase occurs one year follow...
AI summary LED A-type lamps under EPI replace incandescent lamps, using 9W as the standard. The baseline calculation accounts for a 25-year lifespan, with regulatory changes in 2025 shifting the baseline to LED equivalents. The equation and table detail the Equivalent Useful Life (EUL) calculation over 25 years, showing displaced wattage from incandescent to LED lamps.
For solar fixtures, a measure life of 10 years was assumed based on the EUL values for motion sensors. While solar lamps initially remove the full wattage of the baseline lamps from the grid, the baseline wattage is assumed to become LED l...
AI summary The text discusses assumptions regarding the measure life of solar fixtures and the transition from baseline lamps to LED lamps starting in 2025. An equivalent EUL is calculated using a specific equation and Table 353, which results in a value of 1.9 years.
Table 354: Equipment Life Value per LED Lamp and Fixture Types LED Lamp and Fixture Type Program Component Average Rated Lifetime Hours (hours)372 Annual HOU (hours/year)373 Equipment Life (years) LED General-use and Decorative Lamps SBES...
AI summary Table 354 provides equipment life value data for various LED lamp and fixture types, including average rated lifetime hours, annual hours of use, and equipment life in years for different programs and components.
LED General-use and Decorative Lamps The methodology used to establish the equivalent EUL of general-use and decorative lamps is based on the information presented in Table 356 and the equation below. The equivalent EUL calculation is base...
AI summary The document discusses the methodology for calculating the equivalent useful life (EUL) of LED general-use and decorative lamps, comparing them to baseline technologies like halogen incandescent and incandescent lamps. The calculation considers the impact of legislation changes in 2025 and assumes a baseline increase due to the unavailability of incandescent lamps.
Balance Temperature The heating balance temperature is the outdoor temperature below which a heating system will operate to meet thermal comfort requirements in a building. The cooling balance temperature is the outdoor temperature above w...
AI summary The text defines heating and cooling balance temperatures, noting typical ranges for commercial (13°C–18°C) and residential (15.5°C–21°C) buildings. It references the Uniform Methods Project and New York's interactive effects calculation file, with the Evaluator adopting 13°C and 18°C for heating and cooling, respectively.
For each measure installed in BER-AR or SBES, the space heating and cooling systems are known and the efficiency of each is applied as per the following table. Table 361: Coefficient of Performance (COP) by Space Heating and Cooling System...
AI summary The text outlines the coefficient of performance (COP) for various space heating and cooling systems, including electric resistance heating, heat pump heating, and air conditioning. These values are applied to measures installed in BER-AR or SBES and are based on conventions, standard mini-split heat pump COPs, and assumptions.
This subsection presents the estimates of the %LightingIndoor and %LightingHeatConditioned variables. The %LightingIndoor variable indicates whether a specific measure is installed indoor (100%) or outdoor (0% as measures installed outdoor...
AI summary This subsection explains the estimation of two variables, %LightingIndoor and %LightingHeatConditioned, which are used to determine the impact of lighting measures on indoor and heat-conditioned spaces. These variables are derived from data in the tracking sheet and consider the location and heat generation of lighting fixtures.
Table 364: Values for %LightingHeatConditioned per Measure Type Measure Type % Heat in Conditioned Space Linear LED Fixtures Recessed 57%389 Non-recessed 100% Linear LED Lamps Recessed 57% Non-recessed 100% High Bay Fixtures 0%390 Outdoor...
AI summary Table 364 provides percentages of heat in conditioned space for various lighting and heating measures, including LED fixtures, motion sensors, and other efficiency-related measures. The data highlights differences in heat contribution based on fixture type and installation location.
Options for Combination Methods in Multi-measure Programs If there are many measures in a program and the decision is made to include only the measures/measure categories with the highest proportion of savings in the NTGR survey questionna...
AI summary The text outlines approaches for assigning NTGR values to measures excluded from multi-measure programs, including using historic data or other measures' NTGR. It notes average savings for prescriptive measures and technical quantification for accuracy, emphasizing methodological considerations in program design.