E-22023 DSM Programs Evaluation Reports
278 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 document defines key terms such as 'Accuracy,' 'EnerGuide rating,' 'Effective useful life,' 'Equipment life,' and 'Greenhouse gas.' These definitions are technical and relate to energy performance and measurement standards.
Table 3: 2023 Interviews Completed Program Component Manager1 Program / EOne Staff/Business Development Manager Service Provider/ Distributors/ Contractors Participants Dropped Out or Overdue Participants Retailers Residential Appliance Re...
AI summary Table 3 summarizes the number of interviews completed in 2023 across various program components, including managers, service providers, participants, and retailers. The table highlights the distribution of interviews by program, showing the number of interviews conducted with different stakeholders.
The Evaluator performed energy model reviews for the 12 Custom New Construction projects to verify the accuracy of energy models. After the initial file reviews, the Evaluator concluded that the available documentation was sufficient and v...
AI summary The Evaluator reviewed energy models for 12 Custom New Construction projects, comparing them to as-built drawings and project documentation to verify accuracy. Adjusted models were used to establish evaluated savings, and no further site visits or interviews were needed due to sufficient documentation.
Unitary Savings Review For program components with unitary savings values - namely Appliance Retirement, Instant Savings, Home Energy Assessment, Green Heat, Efficient Product Installation, the Mi'kmaw Home Energy Efficiency Project, the B...
AI summary The Unitary Savings Review discusses the validation and updating of unitary savings values for various energy efficiency programs, including Appliance Retirement, Home Energy Assessment, and Business Energy Rebates, using data from metering studies, literature reviews, and participant surveys. A new measure, ENERGY STAR® certified dishwashers, was also added to the Measure Assessment.
2.1.4 Effective Useful Life Review The Evaluator reviewed the EUL values for any new measures to ensure they were valid and revised them where appropriate. The EUL update was based on a literature review of the most recent technical refere...
AI summary The Evaluator reviewed and updated effective useful life (EUL) values for energy efficiency measures based on technical references and incorporated them into the 2020-2023 Measure Assessment. Adjustments considered both measure life and baseline evolution over time, with EUL calculated as lifetime energy savings divided by first-year savings.
2.1.5 Gross Savings Analysis Gross savings refer to changes in energy consumption resulting from actions taken by participants regardless of their reasons for participating in a program. Upon completion of the impact evaluation activities...
AI summary This section discusses the calculation of gross savings in energy consumption from program participation, including interactive effects and peak demand savings. Interactive effects are calculated based on site-specific and provincial data, while peak demand savings are derived using established ratios and engineering calculations for residential and commercial programs.
Data Collection This subsection describes the data-collection activities conducted for the process and market evaluations. As discussed above, interviews were integrated to collect impact, process, and market information. - › Secondary dat...
AI summary This subsection outlines data collection methods for process and market evaluations, including the use of secondary data, in-depth interviews with stakeholders, and participant surveys. Data sources include Nova Scotia Power's emissions and generation reports, as well as a survey of Green Heat participants conducted in late 2023.
3.1 Individual Impact Evaluation Results [Table](#page-24-0) 5 and [Table](#page-25-0) 6 below respectively list the evaluated energy and peak demand savings as well as the corresponding savings tracked by EOne for each program component o...
AI summary This section presents the results of individual impact evaluations for energy and peak demand savings from 2023 programs. Net savings are calculated using the net-to-gross ratio, and lifetime energy savings are based on the effective useful life of efficiency measures. Line loss factors are referenced from a 2014 study submitted to the Nova Scotia Utility and Review Board.
Table 12: Evaluated Net Energy Savings at the Generator, 2018-2023 Energy Savings (GWh) Energy Savings (%) a DSM Program Program Component 2019 2020 2021 2022 2023 2019 2020 2021 2022 2023 Residential Residential Appliance Retirement 2.545...
AI summary Table 12 presents evaluated net energy savings from various DSM programs in Nova Scotia between 2018 and 2023, showing energy savings in GWh and percentages for different program components such as appliance retirement, efficient product rebates, and home energy assessments.
&Data=Count&SearchType=Begins&SearchPR=01&B1=All) (Last accessed December 3, 2019) Statistics Canada, Residential Sector, Nova Scotia, Table 14: Total Households by Building Type and Energy Source : [http://oee.rncan.gc.ca/corporate/statis...
AI summary The text provides a list of bibliographic references and data sources used in the regulatory proceeding, including links to Statistics Canada tables and the National Renewable Energy Laboratory's ResStock End-use Load Profiles Data Sets 2022.1 Release.
Program Components Bibliographic References GDS Associates. Measure Life Report Residential and Commercial/Industrial Lighting and HVAC Measures. Prepared for the New England State Program Working Group (SPWG). June 2007 California Public...
AI summary The text lists various bibliographic references related to energy efficiency programs and technologies, including measure life reports, technical manuals, and analyses on lighting, HVAC, and heat pump systems. These references are used to support evaluations and planning in energy efficiency initiatives.
Adjustment Ratio Margins of Error Below is a description of the steps followed to calculate the margins of error for adjustment ratios applied to energy and peak demand savings based on the energy savings example from the 2023 SBES evaluat...
AI summary This section describes the methodology for calculating margins of error for adjustment ratios applied to energy and peak demand savings, using the 2023 SBES evaluation as an example. The same method is used for installation rates with minor modifications.
Calculation of the Weighted Average of Adjustment Ratios The weighted average was calculated by using the following formula and applying the adjustment ratios and tracked energy savings generated by SBES DIY HVAC measures. $$\text{Weighted...
AI summary The weighted average adjustment ratio (AR) was calculated using a formula that multiplies each measure's adjustment ratio by its tracked energy savings, then divides by total tracked energy savings. The result was 0.980, based on 23 reviewed measures from the SBES DIY HVAC program.
Calculation of the Standard Error Since the overall adjustment ratio is based on a weighted average, the Evaluator also calculated a weighted standard error of the adjustment ratio instead of a simple standard error. The following formula...
AI summary The text explains the calculation of the weighted standard error of the adjustment ratio for energy savings, using a formula from the Uniform Methods Project (UMP) Chapter 11. The weighted standard error for DIY HVAC measures was determined to be 0.0406.
Calculation of the Margins of Error The margin of error on the adjustment ratio of SBES DIY HVAC measure energy savings was established by using the following formula that is the general equation linking that standard error to the margin o...
AI summary The margin of error for the adjustment ratio of SBES DIY HVAC measure energy savings was calculated using a formula involving standard error, a t-coefficient, and a finite population correction factor, resulting in a 4.4% margin of error. This calculation was performed in 2023 for SBES and Custom measures, while smaller programs like SEM used a census approach.
Table 1: Summary of 2023 Residential Efficient Product Rebates Program Evaluation Program Evaluation Type Component Impact Process Market Methodology Appliance Retirement Condensed › Tracking sheet audit › Unitary savings review › Calculat...
AI summary The 2023 Residential Efficient Product Rebates Program Evaluation includes components such as Appliance Retirement and Instant Savings Comprehensive, with evaluation methods involving tracking sheet audits, participant surveys, and avoided GHG emission calculations.
2 ARet Evaluation Approach The 2023 ARet evaluation involved a condensed impact evaluation. The main objectives were as follows: › Calculate gross and net results, namely electrical first-year and lifetime energy savings, peak demand savin...
AI summary The 2023 ARet evaluation focused on calculating gross and net results, including energy savings and avoided GHG emissions. Key research questions were identified to achieve these objectives, with Table 6 outlining the evaluation objectives, research questions, and methods.
Table 6: 2023 ARet Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime g...
AI summary This section outlines the evaluation approach for the 2023 ARet program, focusing on calculating both gross and net results through tracking sheet audits, unitary savings reviews, and calculations using evaluation results. It also considers avoided greenhouse gas emissions.
3.2 Gross Savings For ARet, gross savings correspond to the change in energy consumption resulting from the retirement of energy inefficient appliances in participants' homes regardless of both why they participated and what they would hav...
AI summary The document discusses gross savings for the Appliance Retirement (ARet) program, emphasizing the change in energy consumption due to retiring inefficient appliances. Unitary savings values for freezers and refrigerators were updated in the 2023 evaluation, while other measures used values from the 2022 evaluation. Details are provided in the 2020-2023 Measure Assessment.
3.2.4 Effective Useful Life Effective useful life (EUL) values are used in the calculation of electrical energy savings that are expected to persist over time. For ARet, the lifetime energy savings and equivalent EUL of a unit are highly i...
AI summary The document discusses the use of Effective Useful Life (EUL) values in calculating electrical energy savings for ARet. The EUL is influenced by the remaining useful life (RUL) of old units and is based on values from the 2020-2023 Measure Assessment. The weighted average EUL is 4.0 years.
Table 9: 2023 ARet Equivalent EUL and Gross Lifetime Unitary Savings Values Appliance Tracked Equivalent EUL [years] Evaluated Equivalent EUL [years] Evaluated Gross Lifetime Unitary Savings [kWh] ARet – Retirement Refrigerators 4 No chang...
AI summary Table 9 outlines the 2023 ARet Equivalent EUL and Gross Lifetime Unitary Savings Values for various appliances. The Equivalent Useful Life (EUL) for most appliances remains unchanged, with savings values ranging from 492 to 3,015 kWh. Technical reference manuals from multiple regions were consulted, with only Northwest Power and Conservation Council and New York applying interactive effect factors for freezers and refrigerators.
EUL Update As part of the 2020–2023 Measure Assessment activities, the Evaluator updated the EUL values of lighting measures for which baseline changes are anticipated during the measure lifetimes.
AI summary As part of the 2020–2023 Measure Assessment activities, the Evaluator updated the EUL values of lighting measures for which baseline changes are anticipated during the measure lifetimes.
Calculations Using Evaluation Results Building on all the above methods and collected data, the Evaluator calculated the first-year and lifetime energy and peak demand savings as per the calculation methodology presented in Section [4](#pa...
AI summary The Evaluator calculated first-year and lifetime energy and peak demand savings using collected data and the calculation methodology outlined in Section 4.
8.2.2 Unitary Energy Savings For ENERGY STAR certified LED lamps and fixtures, the unitary savings values were updated to include the wattage values of the most popular products sold in 2023. It should be noted that for R, BR, and decorati...
AI summary The document discusses updates to unitary energy savings values for ENERGY STAR certified LED lamps and fixtures, including adjustments based on market availability and regulations. It also introduces unitary savings values for ENERGY STAR certified dishwashers. The Evaluator recommends reviewing certain lamp models for potential phase-out in 2024 due to market conditions.
8.2.3 Unitary Peak Demand Savings Peak demand savings correspond to the demand savings that coincide in time with the peak demand period of the electricity system. The projected electricity peak demand period in Nova Scotia is between 5 p....
AI summary This section discusses unitary peak demand savings, which occur during the peak demand period in Nova Scotia (5 p.m. to 7 p.m. from December to February on non-holiday weekdays). The Evaluator developed these savings for each measure, and differences between tracked and evaluated savings reflect updates to unitary energy savings. A table summarizes the values for products installed through Instant Savings in 2023.
Lighting Products and Controls The weighted interactive effects factors for lighting products were established as part of the 2020–2023 Measure Assessment activities and considered the various types of space heating and cooling found in No...
AI summary The weighted interactive effects factors for lighting products, specifically LED products, were established as part of the 2020–2023 Measure Assessment activities, taking into account the different types of space heating and cooling in Nova Scotia homes.
8.2.5 Effective Useful Life The Evaluator validated the EUL values based on the 2020–2023 Measure Assessment. The EUL values are used in the calculation of electrical energy savings that are expected to persist over time. The baseline for...
AI summary The Evaluator validated Equivalent Useful Life (EUL) values based on the 2020–2023 Measure Assessment, which are used in calculating electrical energy savings over time. The baseline for LED lamps was updated in 2022 to reflect the shift away from compact fluorescent lamps, with EUL values applied to calculate gross and net lifetime energy savings.
[Figure](#page-108-0) 8 and [Figure](#page-109-0) 9 below compare the tracked unitary electrical energy and peak demand savings to the evaluated gross savings. Both sets of savings values include adjustments to account for interactive effe...
AI summary The text discusses comparisons between tracked unitary electrical energy and peak demand savings and evaluated gross savings, highlighting the impact of LED fixture revisions. It also mentions the calculation of GHG emissions reductions using a Nova Scotia-specific factor applied to Instant Savings gross savings.
Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 15.409 GWh 0.86 13.290 GWh 86% Evaluation Results 15.512 GWh 0.74 11.476 GWh Peak Demand Savings Tracked Savings by EO...
AI summary The table provides data on energy and peak demand savings tracked by EOne and evaluation results, including gross savings, net savings, and realization rates. It highlights the performance of energy efficiency programs and their impact on savings.
Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit ARet Energy Savings 4,260 Appliances 3.010 GWh 0.56 1.698 GWh Lifetime Energy Savings 12.008 GWh 0.56 6.776 GWh Peak Demand Savings 0.430 MW 0.56 0.2...
AI summary The Residential Efficient Product Rebates program exceeded its 2023 targets for net electrical energy and peak demand savings by 16% and 35%, respectively. Instant Savings was the primary contributor to these achievements. The table details energy savings, peak demand savings, GHG emission reductions, and equivalent useful life across different program components.
Table 1: 2023 ARet Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value ARet Gross Energy Savings at the Generator 2.773 GWh 2.773 GWh -0.03% Gros...
AI summary Table 1 presents the 2023 ARet Corrected Tracked Savings, showing minimal differences between tracked and corrected values. Minor discrepancies are attributed to incorrect equations, net-to-gross ratios, and rounding methods used by the Evaluator.
Evaluation Approach The 2023 Existing Residential 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...
AI summary The 2023 Existing Residential 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. Table 1 summarizes the evaluation types and methodologies for each program component.
Table 2: Overall 2023 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit HEA Energy Savings 4,085 Participants 30.581 GWh 0.85 25.966 GWh Lifet...
AI summary The table presents 2023 participation levels and evaluated savings for various residential energy efficiency programs in Nova Scotia, including energy savings, GHG emission reductions, and effective useful life (EUL). The data highlights the performance of different programs such as Home Energy Assessment (HEA), Green Heat, Efficient Product Installation (EPI), Mi'kmaw Home Energy Efficiency Project (MHEEP), Affordable Multifamily Housing (AMH), and Affordable Single-family Homes (ASFH).
HEA Findings and Recommendations 2023 HEA Finding: Both HEA net electrical energy and demand savings exceeded targets. 2023 HEA Finding: The significant increase in participation and average gross savings per home observed since the introd...
AI summary The 2023 HEA findings show that energy and demand savings exceeded targets, with increased participation and savings per home since the introduction of the Canada Greener Homes Grant. The HEA is well-received, and the evaluation found higher savings due to lower free-ridership. Billing analysis results were inconclusive, and the ORs from 2018 will not be used beyond 2023. A new evaluation approach for 2024 is recommended.
Table 4: Types of Evaluations Conducted for Each Program Component, 2023 2023 Program Program Component Process Market Impact Existing Residential HEA Comprehensive Green Heat X X Condensed EPI Condensed MHEEP Condensed AMH Condensed ASFH...
AI summary Table 4 outlines the types of evaluations conducted for each program component in 2023, including comprehensive and condensed evaluations for various residential programs. The Evaluator prepared DSM evaluation reports detailing key findings, energy savings, and GHG emissions.
Table 5: 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. In p...
AI summary The implementation status of the 2018 HEA-R1 recommendation to conduct a billing analysis to review overestimation ratios (ORs) is in progress. Initial planning was for 2022, but it was deferred due to insufficient data. In 2022, the Evaluator researched changes to the methodology, and a new approach was tested in 2023, though results were inconclusive. Further exploration and potential new approaches are planned for 2024.
2 HEA Evaluation Approach The 2023 HEA evaluation comprised a comprehensive impact evaluation. The main objectives of the 2023 HEA evaluation were to: - › Collect information on participant perspectives 3 - › Calculate gross and net result...
AI summary The 2023 HEA evaluation aimed to collect participant perspectives and calculate energy savings and GHG emissions. The Evaluator identified research questions and methods to achieve these objectives, with Table 6 outlining the evaluation's approach.
Solar PV Savings Calculation Review To determine the appropriate savings calculation approach for solar PV systems installed through HEA, Econoler analyzed the information available in the tracking sheet and reviewed the tracked unitary sa...
AI summary Econoler reviewed the savings calculation approach for solar PV systems installed through HEA, analyzing the tracking sheet and EOne's unitary savings values based on SolarHomes results. The 2020-2023 Measure Assessment was updated accordingly.
Calculations Using Evaluation Results Building on all the above methods and collected data, the Evaluator calculated the first-year and lifetime energy and peak demand savings as per the calculation methodology presented in Section [4](#pa...
AI summary The Evaluator used collected data and established methods to calculate first-year and lifetime energy and peak demand savings, following the methodology detailed in Section 4.
GHG Emission Reduction Calculations To obtain net avoided GHG emissions in CO2 eq for HEA, the Evaluator multiplied the net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity production. Thi...
AI summary The Evaluator calculated net avoided GHG emissions by multiplying net energy savings with a Nova Scotia-specific factor based on NS Power data. The 2020-2023 Measure Assessment was used to calculate energy and peak demand savings for EOne's DSM program portfolio, including effective useful life values for measures.
3.1 Satisfaction with HEA There was a high level of satisfaction with HEA overall, with an average rating of 8.3. 5 Participants who were less satisfied (27%) mentioned that it took too long to receive their rebate (44%), which was likely...
AI summary Participants expressed high satisfaction with the Home Energy Assessment (HEA) program, with an average rating of 8.3. However, 27% of participants were less satisfied, citing issues such as delays in receiving rebates, unclear program requirements, and difficulties accessing information. The Net Promoter Score (NPS) for HEA was 62, indicating strong likelihood of participants recommending the program.
4 HEA Impact Evaluation The objectives of the 2023 HEA impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as effective useful life (EUL) values and associate...
AI summary The 2023 HEA impact evaluation aimed to assess gross and net electrical energy and peak demand savings, annually avoided GHG emissions, and effective useful life (EUL) values along with associated lifetime energy savings.
4.2.1 Installation Rates Installation rates represent the proportion of products recorded in the tracking sheet that remain installed in participants' homes. Based on the 2020-2023 Measure Assessment, installation rates for all HEA measure...
AI summary Installation rates refer to the proportion of products recorded in the tracking sheet that remain installed in participants' homes. For all HEA measures, installation rates were estimated at 100% based on the 2020-2023 Measure Assessment due to their relatively high costs.
Where: - $\rightarrow$ Elec_Heating D and Elec_Heating E correspond to the modelled electrical space heating consumption levels respectively obtained in HOT2000 during the D and E assessments. - $OR_D$ and $OR_E$ correspond to the overesti...
AI summary The text defines terms related to electrical space heating consumption and overestimation ratios in the context of energy assessments. It also mentions non-modelled energy savings from specific heating measures not captured by HOT2000.
Overestimation Ratios The savings calculations are mainly based on the difference (reduction) between D and E assessment electrical space heating consumption levels obtained in HOT2000, both of which were adjusted with an OR. The ORs were...
AI summary The document discusses the use of overestimation ratios (ORs) in calculating energy savings from the Home Energy Assessment (HEA) program. A billing analysis was conducted in 2023 to review ORs and the savings calculation approach, but the results were inconclusive. The Evaluator recommends continuing to use the 2018 ORs for the 2023 evaluation due to the lack of definitive findings.
Unitary Energy Savings Values for DHW Measures [Table](#page-13-0) 9 below lists the tracked and evaluated unitary energy savings values for each DHW measure implemented through HEA in 2023. The detailed savings calculations are presented...
AI summary The document presents unitary energy savings values for domestic hot water (DHW) measures implemented through Home Energy Assessments (HEA) in 2023. These values were updated to align with a new heat pump water heater pilot design being explored by EOne.
Space Heating Peak Demand Savings For space heating measures modelled in HOT2000, peak demand savings calculations are conducted using a peak demand-to-energy ratio of 0.283 MW/GWh. This ratio (RES-Elect Space Heat & Cool) was set by Navig...
AI summary The document discusses the methodology used to calculate peak demand savings for space heating measures, including the use of a peak demand-to-energy ratio of 0.283 MW/GWh established by Navigant in the 2016-2018 DSM Plan. It also outlines the approach taken in 2020 for mini-split heat pumps, which involved tracking heat pump parameters to improve accuracy.
Table 11: Unitary Peak Demand Savings Values for Space Heating Mini-split Heat Pumps Variable Symbol Value Rated heating capacity of the new heat pump at outdoor air temperature of -15 °C [kBTU/h] 𝐻𝐶𝑚𝑖𝑛 Specification data for each installe...
AI summary Table 11 provides unitary peak demand savings values for space heating mini-split heat pumps, including parameters like heating capacity, coefficient of performance, and conversion factors. The table notes that specific peak demand savings values are used for measures not modelled in HOT2000 to align with Green Heat, with calculations detailed in the 2020-2023 Measure Assessment.
4.2.5 Effective Useful Life As part of 2020-2023 Measure Assessment 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 established f...
AI summary The Evaluator reviewed effective useful life (EUL) values for energy efficiency measures, including water heating and space heating, using data from 2021 HEA installations. The weighted average EUL for space heating measures was calculated as 23.5 years, consistent with the 2022 evaluation.
4.2.6 Evaluated Gross Savings The annual gross savings for each category of measure installed through HEA in 2023 are listed in [Table](#page-18-0) 15 below. The gross savings at the generator were estimated by using residential line loss...
AI summary The annual gross savings from residential energy efficiency measures installed in 2023 are evaluated using line loss factors submitted to the NSUARB. Adjustments were made to account for delays in processing E assessment files, affecting 420 participants. The evaluation used actual data from 2023 and corrected previous estimates from 2022.
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 unconverted D assessment savings spillover effect refers to savings from measures implemented by expired participants who did not complete an E assessment. These savings are added to gross savings. The analysis includes 1,441 expired participants using electricity as their primary heating source, with 54% completing at least one upgrade and 2,283 kWh of energy savings tracked through surveys and site visits.
4.4 Realization Rate [Table](#page-23-1) 23 below compares the energy and peak demand savings established through this evaluation to those calculated in the 2023 tracking sheet. It also includes the realization rate, representing the ratio...
AI summary This section discusses the realization rate, which compares evaluated net savings to tracked net savings for energy and peak demand savings, as shown in Table 23.
7 Green Heat Evaluation Approach The 2023 Green Heat evaluation comprised a condensed impact evaluation as well as process, and market evaluations. The main objectives of the evaluations were as follows: - › Collect information on particip...
AI summary The 2023 Green Heat evaluation focused on collecting participant perspectives, calculating energy and GHG savings, and analyzing the market for mini-split heat pumps. A billing analysis was excluded due to concerns over data interpretation, with plans to revisit it in 2024.
9.2.2 Unitary Energy Savings To establish Green Heat unitary savings, the Evaluator relied on a combination of billing analyses, energy models, engineering algorithms, and literature reviews. The 2020-2023 Measure Assessment provides a det...
AI summary The Evaluator used billing analyses, energy models, and literature reviews to establish Green Heat unitary energy savings. No changes were made to the savings algorithms in 2023, and the energy savings for heat pump measures are calculated based on capacity. Solar measures use the RETScreen tool for energy savings calculations.
9.2.5 Effective Useful Life As part of the 2020-2023 Measure Assessment activities, the Evaluator reviewed the EUL values used in the calculations of electrical energy savings that are expected to persist over time. The EUL values establis...
AI summary The 2020-2023 Measure Assessment activities evaluated the Effective Useful Life (EUL) values used in calculating electrical energy savings. The EUL values from the 2022 evaluation remained valid for 2023, with gross and net first-year savings applied to obtain lifetime savings. The gross weighted average EUL value is 18.0 years.
Evaluated 2023 Green Heat Gross Energy and Peak Demand Savings (Continued) Measure Solar DHW Solar Thermal Air Heating ETS Three-element Water Heaters DHW Heater Timers Total Number of Units - - 186 146 54 1,783 Energy Savings Unitary Ener...
AI summary The table presents evaluated 2023 Green Heat gross energy and peak demand savings for various measures, including Electric Thermal Storage (ETS) and three-element water heaters. It outlines energy savings, effective useful life, and peak demand savings at both the meter and generator levels.
Table 41: 2023 EPI Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the evaluated first-year and lifetime g...
AI summary Table 41 outlines the 2023 EPI Evaluation Approach, focusing on calculating gross and net results through methods such as tracking sheet audits and unitary savings reviews. It also considers net avoided GHG emissions and uses the 2021 NTGR results for calculations.
GHG Emission Reduction Calculations To obtain net avoided GHG emissions in CO2 eq for EPI, the Evaluator multiplied net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity production. This fa...
AI summary The document explains that net avoided GHG emissions for EPI are calculated by multiplying net energy savings by a Nova Scotia-specific factor derived from NSP data, which reflects GHG emissions from electricity production.
In a home, interactive effects occur when the implementation of energy efficiency products has an impact on the energy consumption of other elements such as heating and cooling. In the case of EPI, replacing lighting products with LEDs cau...
AI summary The text discusses interactive effects of energy efficiency products, such as LED lighting and hot water insulation, on heating and cooling loads in homes. These effects are calculated using interactive effects factors from the 2020-2023 Measure Assessment and applied to energy and peak demand savings values for EPI tracking.
Table 45: 2023 EPI Interactive Effects Calculation Results for LED Products Product Location Type of Home Energy Interactive Effects Factors Peak Demand Interactive Effects Factors LED A-type Indoor Heat Pump Heating and Air Conditioning -...
AI summary Table 45 presents the 2023 EPI interactive effects calculation results for LED products, showing energy and peak demand effects across different home types and locations. Table 46 provides similar data for pipe insulation and hot water tank wraps, highlighting energy and peak demand interactive effects for various housing types. These tables are used to assess the impact of energy-efficient products on overall energy use and demand.
14.2.6 Effective Useful Life As part of the 2020-2023 Measure Assessment 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 pro...
AI summary The Evaluator reviewed Effective Useful Life (EUL) values for energy savings calculations in the 2020-2023 Measure Assessment. EUL values for lighting products were updated due to rapid LED market evolution, while other product values remained unchanged. Appendix II details baseline changes and revised EUL values, which affect gross and net lifetime energy savings calculations.
Table 48: Evaluated 2023 EPI Gross Energy and Peak Demand Savings per Measure - Single-family Homes LED Lamps Product Category 9 W Replacing 25 W 29 W 40 W 43 W 60 W 72 W 100 W 150 W Number of Units Number of Units 476 382 16,036 304 50,07...
AI summary Table 48 evaluates the energy and peak demand savings from the Efficient Product Installation (EPI) program in single-family homes in 2023. It details energy savings per measure, including installation rates, energy interactive effects, and gross energy savings at both the meter and generator levels. The table also includes peak demand savings and associated factors.
LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 7 W Replacing 40 W E12 5 W Chandelier Replacing 40 W Number of Units Number of Units 13,906 530 3,938 3,470 11,972 Installation Rate (%) 94% 94% 94%...
AI summary The document presents a detailed table of energy savings from LED lamps across various product categories, including installation rates, unitary savings values, interactive effects factors, and gross energy savings at both the meter and generator levels. It also includes peak demand savings and related factors.
Product Category Pipe Insulation (per foot) Hot Water Tank Wraps Retractable Clotheslines Smart Thermostats for Electric Baseboards Smart Thermostats for MSHPs Number of Units Number of Units 12,127 1,842 87 97 4,434 Installation Rate (%)...
AI summary The text presents a table detailing energy savings and installation rates for various energy efficiency products, including pipe insulation, hot water tank wraps, retractable clotheslines, and smart thermostats. The table includes metrics such as unitary savings value, gross energy savings, effective useful life, and peak demand savings for each product category.
Air Sealing Products - He at Pump Hea ating Total for Product Category Foam Gaskets Door Sweeps Window Air Sealing Window Film Kits Door Weather Stripping Single-family Homes Number of Units • Number of Units 4,031 131 172 1,404 473 148,69...
AI summary The text provides a detailed table summarizing energy savings data for various home energy efficiency products, including air sealing and heat pumps. It includes metrics like number of units installed, energy savings, peak demand savings, and lifetime energy savings, with factors such as line loss and interactive effects applied for accuracy.
Product Category Pipe Insulation (per foot) Hot Water Tank Wraps Retractable Clotheslines Smart Thermostats for Electric Baseboards Smart Thermostats for MSHPs Number of Units Number of Units 206 48 1 0 18 Installation Rate (%) 100% 100% 8...
AI summary The table presents data on energy savings and installation rates for various energy efficiency products, including pipe insulation, hot water tank wraps, retractable clotheslines, and smart thermostats for electric baseboards and MSHPs. It includes metrics such as unitary savings value, interactive effects factor, and gross energy savings at different points in the system.
Air Sealing Products - Heat I Pump Heating g Product Category Foam Gaskets Door Sweeps Window Air Sealing Window Film Kits Door Weather Stripping Total for Apartments Number of Units Number of Units 86 0 8 6 0 5,077 Installation Rate (%) 3...
AI summary The table presents data on energy savings from various home efficiency products, including air sealing and heat pumps, across different unit categories. It includes metrics such as installation rates, energy savings, peak demand savings, and lifetime energy savings, along with factors like interactive effects and line loss. The data is organized by product type and includes calculations for gross energy and peak demand savings at both the meter and generator levels.
Table 50: Evaluated 2023 EPI Gross Energy and Peak Demand Savings Total for Single family Homes Total for Apartments Grand Total Number of Units Number of Units 148,698 5,077 153,775 Installation Rate (%) 91% 89% 91% Number of Units Instal...
AI summary Table 50 presents the evaluated 2023 EPI Gross Energy and Peak Demand Savings, detailing the number of units installed, energy savings, and peak demand savings for single-family homes and apartments. The table includes metrics such as installation rates, line loss factors, and gross energy savings at both the meter and generator levels.
Net savings are defined as the energy use reductions that are specifically attributable to EPI. Net savings were estimated by applying the overall NTGR to gross savings as exemplified in the following equation: Net Savings = Gross Savings...
AI summary The document defines net savings as energy use reductions attributable to EPI, calculated using the NTGR applied to gross savings. This method was used to estimate both electrical energy and peak demand savings, resulting in 5,164 tonnes of CO2 eq in annual GHG emission reductions.
Table 55: Evaluated 2023 EPI Net Energy and Peak Demand Savings per Measure LED Lamps Product Category 9 W Replacing 25 W 29 W 40 W 43 W 60 W 72 W 100 W 150 W Energy Savings Gross Energy Savings – at the Meter (GWh) 0.006 0.006 0.375 0.008...
AI summary Table 55 evaluates the 2023 EPI Net Energy and Peak Demand Savings per Measure for LED lamps replacing various wattage bulbs. It details gross and net energy savings, line loss factors, and net lifetime energy savings at the generator, along with peak demand savings at the meter and generator.
Evaluated 2023 EPI Net Energy and Peak Demand Savings per Measure (Continued) LED Lamps Product Category Nightlights GU10 7 W Replacing 35 W GU10 7 W Replacing 50 W G25 7 W Replacing 40 W E12 5 W Chandelier Replacing 40 W Energy Savings Gr...
AI summary The document presents a table detailing the evaluated 2023 EPI net energy and peak demand savings per measure for various LED lamp products. It includes metrics such as gross and net energy savings, line loss factors, and net lifetime energy savings, providing a breakdown for different product categories and their replacements.
17 MHEEP Evaluation Approach The 2023 MHEEP evaluation comprised a condensed impact evaluation. The main objectives of the 2023 MHEEP evaluation were as follows: › Calculate gross and net MHEEP results, namely electrical first-year and lif...
AI summary The 2023 MHEEP evaluation focused on calculating gross and net results, including energy savings, peak demand savings, and avoided GHG emissions. The evaluation objectives are mapped to research questions and methods in Table 57.
GHG Emission Reduction Calculations To obtain net avoided GHG emissions in CO2 eq for MHEEP, the Evaluator multiplied the net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity production. T...
AI summary The document outlines the methodology for calculating net avoided GHG emissions for the Mi'kmaw Home Energy Efficiency Project (MHEEP), using energy savings multiplied by Nova Scotia-specific emission factors. It also references the 2020-2023 Measure Assessment for evaluating energy and peak demand savings from EOne's DSM programs.
18.1 Tracking Sheet Audit To ensure project results were reliably compiled, the Evaluator first performed a tracking sheet audit aimed at verifying the completeness and consistency of the data submitted by EOne. The results obtained from t...
AI summary A tracking sheet audit was conducted to verify the completeness and consistency of data submitted by EOne, ensuring reliable compilation of project results. The findings from this audit are detailed in Appendix XVIII, and the reported tracked savings reflect the corrected figures obtained by the Evaluator.
18.2 Gross Savings MHEEP gross savings correspond to the change in energy consumption resulting from the measures implemented by participants regardless of why they participated. 51 In 2023, MHEEP participants received building envelope up...
AI summary MHEEP gross savings are calculated based on changes in energy consumption from implemented measures, excluding certain nonmodelled upgrades. These savings are determined using HOT2000 modelling and unitary savings values for specific appliances and systems.
Modelled Measures The savings from building envelope and space heating measures are estimated using pre-retrofit (D assessment) and post-retrofit (E assessment) energy models from HOT2000 simulations. Electrical savings are calculated usin...
AI summary The document discusses the calculation of electrical savings from building envelope and space heating measures using HOT2000 simulations, with a formula for gross space heating savings. It references a methodology from the National Renewable Energy Laboratory.
Where: - › % corresponds to the proportion of space heating covered by electrical heating systems during the D assessment. - › SHC corresponds to total space heating consumption (all fuel types combined). - › OR corresponds to the overesti...
AI summary The text discusses the calculation of energy savings based on differences between D and E assessments of space heating consumption, adjusted using overestimation ratios derived from billing analyses conducted in 2015 and 2018 as part of HEA evaluations.
Non-modelled Measures Replaced appliances, programmable and smart thermostats, drain water heat recovery systems, and heat pump water heaters are not modelled in HOT2000. Instead, energy savings are calculated based on unitary energy savin...
AI summary Non-modelled measures such as replaced appliances and heat pump water heaters are not included in the HOT2000 model. Energy savings for these measures are calculated using unitary energy savings values determined during the 2020-2023 Measure Assessment activities. Adjustments were made to account for changes in appliance mix and unit size, and revised values were established for heat pump water heaters as part of a new program.
18.2.4 Effective Useful Life As part of the 2020-2023 Measure Assessment 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 buil...
AI summary The Evaluator reviewed effective useful life (EUL) values for building envelope upgrades and space heating equipment as part of the 2020-2023 Measure Assessment activities. The gross weighted average EUL value is 20.2 years, based on measures installed by HEA and MHEEP participants.
Table 62: Evaluated 2023 MHEEP Modelled Measure Gross Energy and Peak Demand Savings Total Number of Participants 162 Energy Savings Gross Energy Savings Without Overestimation Ratio (OR) – at the Meter (GWh) 0.721 Gross Energy Savings wit...
AI summary Table 62 presents the evaluated 2023 MHEEP modelled measure gross energy and peak demand savings, including total participants, energy savings with and without overestimation ratio, effective useful life, and peak demand savings with a new calculation methodology applied for heat pumps and unmodelled prescriptive measures.
Table 63: Evaluated 2023 MHEEP Non-modelled Measure\ Gross Energy and Peak Demand Savings Measure Category Programmable Thermostats Drain Water Heat Recovery Systems Appliance Replacement - Freezers Total Number of Units Replaced 54 4 5 63...
AI summary Table 63 presents evaluated energy and peak demand savings from the 2023 MHEEP Non-modelled Measure. Appliance replacement, specifically freezer replacements, resulted in gross energy savings of 0.010 GWh and gross peak demand savings of 0.001 MW.
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 gross savings at the generator using line loss factors of 1.0947 for energy savings and 1.1466 for peak demand savings, provided by NS Power and based on values used for residential consumers as part of the 2014 Cost of Service Study Progress Update.
Table 64: Evaluated 2023 MHEEP Gross Energy and Peak Demand Savings Measure Category Modelled Non-modelled Total Energy Savings Gross Energy Savings – at the Meter (GWh) 0.502 0.024 0.526 Line Loss Factor 1.095 1.095 - Gross Energy Savings...
AI summary Table 64 provides an evaluation of the 2023 Mikmaw Home Energy Efficiency Project (MHEEP) gross energy and peak demand savings, distinguishing between modelled and non-modelled measures. It includes metrics such as gross energy savings at the meter and generator, line loss factors, and effective useful life of measures.
52 Nova Scotia Utility and Review Board, Matter M06555, 2014 Cost of Service Study Progress Update, Exhibit N-2.09, Appendix I1. As presented in Table 65, GHG emission reductions were calculated by applying the Nova Scotia-specific factor...
AI summary The text references a 2014 Cost of Service Study Progress Update by the Nova Scotia Utility and Review Board, discussing GHG emission reductions calculated using a Nova Scotia-specific factor applied to MHEEP gross savings results.
18.3.1 Evaluated Net Savings Net savings are defined as the energy savings specifically attributable to MHEEP. Since spillover and freeridership effects were considered nil, the net MHEEP impacts are equal to the gross savings generated by...
AI summary The MHEEP achieved 0.577 GWh and 0.373 MW in net energy and peak demand savings, respectively. It fell short of its energy savings target by 5% but exceeded its peak demand savings target by 24%. GHG emission reductions are equal to the gross annual reductions due to no spillover or freeridership effects.
Table 66: Comparison of Tracked and Evaluated 2023 MHEEP Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Unit Energy Savings Tracked Savings by EOne 0.575 GWh 1.00 0.575 GWh Evaluation Results 0.57...
AI summary Table 66 compares tracked and evaluated 2023 MHEEP savings at the generator level, showing that both energy and peak demand savings have a 100% realization rate, with no significant differences between tracked and evaluated results.
EUL Update Using the effective useful life (EUL) values for common measures presented in the 2020-2023 Measure Assessment 54 and the proportion of measures implemented through AMH in 2023, the Evaluator calculated an average EUL for compre...
AI summary The EUL values from the 2020-2023 Measure Assessment are used to calculate an average EUL for comprehensive projects, with specific values applied for prescriptive projects. The proportion of measures implemented through AMH in 2023 is also considered in the calculation.
22 AMH Impact Evaluation The objectives of the 2023 AMH impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as the EUL and associated lifetime energy savings.
AI summary The 2023 AMH impact evaluation aimed to assess gross and net electrical energy and peak demand savings, annually avoided GHG emissions, and the EUL with associated lifetime energy savings.
22.2.1 Energy Savings In recent AMH evaluations, only minor adjustments were made to comprehensive project savings as a result of site visits and desk reviews. Therefore, the Evaluator elected to use the tracked savings as the evaluated sa...
AI summary In 2023, minor adjustments were made to AMH energy savings evaluations, with tracked savings used as evaluated savings. Energy savings for AMH prescriptive projects were calculated using the CIRx Screening Tool and full-load hours from previous analyses. The 2022 adjustment ratio of 0.998 ± 0.002 was reused for 2023, as no significant changes were identified.
22.2.4 Effective Useful Life Using the EUL values presented in the 2020-2023 Measure Assessment and the proportion of measures implemented through AMH in 2023, the Evaluator revised the EUL values for comprehensive projects. For prescripti...
AI summary The document discusses the revision of Effective Useful Life (EUL) values for energy efficiency measures, using data from the 2020-2023 Measure Assessment and the proportion of measures implemented through AMH in 2023. It outlines how EUL values were calculated for both prescriptive and comprehensive projects, resulting in an AMH average EUL value of 17.4 years.
24.1 ASFH Description ASFH provides energy efficiency retrofits to income-qualified Nova Scotian homeowners at no cost to participants. The program component is marketed to all Nova Scotian's (both electric and non-electric homes) under th...
AI summary The Affordable Single-Family Home (ASFH) program provides free energy efficiency retrofits to income-qualified Nova Scotian homeowners. It includes building envelope measures, moisture management, and appliance replacements. The program is delivered by six delivery agents and uses energy advisors for assessments. Electrical savings are evaluated, and the program is branded as 'HomeWarming'.
Table 73: 2023 ASFH Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › What are the savings for heating and building e...
AI summary Table 73 outlines the 2023 evaluation approach for the Affordable Single-Family Housing (ASFH) program. It includes objectives such as calculating gross and net results, research questions about data accuracy and savings, and methodologies like tracking sheet audits and savings calculations using tools such as HOT2000 and NTGR.
26.2 Gross Savings For ASFH, gross savings are associated with building envelope measures and are calculated based on preretrofit and post-retrofit HOT2000 simulations, while the gross savings of replaced old appliances through the EOne Ap...
AI summary This subsection outlines the methodology for calculating gross savings for Affordable Single-Family Homes (ASFH) based on HOT2000 simulations and unitary savings values for replaced appliances through the EOne Appliance Retirement program.
Overestimation Ratios As indicated in the gross savings equations, ORs are used to adjust modelled space heating consumption values because the HOT2000 software tends to slightly overestimate savings. For the 2023 evaluation, the Evaluator...
AI summary Overestimation Ratios (ORs) are used to adjust modelled space heating consumption values because HOT2000 software slightly overestimates savings. OR values from the 2018 DSM Existing Residential evaluation are still considered valid for adjusting ASFH participant energy consumption in the 2023 evaluation.
Table 74: 2022/23 Overestimation Ratio Values Measure Category ORD ORE A participant who registered with a heat pump 0% 0% A participant who registered without a heat pump and who did not have one installed 19% 19% A participant who regist...
AI summary Table 74 presents overestimation ratio (OR) values for different participant categories in the 2022/23 period. The ORs are applied to HOT2000 simulation results to account for software errors and input errors made by EAs. The OR values vary depending on whether participants registered with or without heat pumps and whether they had heat pumps installed.
Non-modelled Energy Savings Replaced appliances are not modelled in HOT2000. Instead, energy savings are calculated based on unitary energy savings values established as part of the 2020-2023 Measure Assessment activities. In addition, the...
AI summary The document discusses the calculation of non-modelled energy savings, particularly for replaced appliances and heat pumps. Energy savings are based on unitary values from the 2020-2023 Measure Assessment activities and the Green Heat approach for heat pumps. Table 75 summarizes the evaluated unitary savings values.
[Table](#page-144-0) 76 summarizes the tracked and evaluated peak demand unitary energy savings values for those measures. Table 76: 2023 Appliance Replacement Tracked and Evaluated Unitary Peak Demand Savings Tracked Savings [W/year] Eval...
AI summary Table 76 summarizes the tracked and evaluated peak demand unitary energy savings values for appliance replacement measures in 2023. Refrigerators and freezers show increases in evaluated savings compared to tracked savings, while dehumidifiers show no change. Section 26.2.3 discusses interactive effects related to these measures.
26.2.4 Effective Useful Life As part of the 2020-2023 Measure Assessment activities, the Evaluator reviewed the EUL values used in the calculation of energy savings that are expected to persist over time. The EUL values for building envelo...
AI summary The Evaluator reviewed effective useful life (EUL) values for energy-saving measures installed by HEA and ASFH participants, confirming the 2022 gross weighted average EUL value of 20.1 years remains valid for all measure categories.
Table 77: Evaluated 2023 ASFH Modelled Measure Gross Energy and Peak Demand Savings Total Energy Savings Gross Energy Savings Without Overestimation Ratio (OR) – at the Meter (GWh) 1.512 Gross Energy Savings with OR – at the Meter (GWh) 1....
AI summary The tables present energy and peak demand savings for the Affordable Single-Family Housing (ASFH) program in 2023, including modelled and non-modelled measures. The data includes gross energy savings, effective useful life, and peak demand savings, with adjustments for overestimation ratios and line loss factors.
Table 82: Overall 2023 Existing Residential Participation and Evaluated Savings Participation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit HEA Energy Savings 4,085 Participants 30.581 GWh 0.85 25.966 GWh Life...
AI summary Table 82 presents the participation levels and energy savings for various residential programs in 2023, including HEA, Green Heat, EPI, MHEEP, AMH, and ASFH. The table highlights gross and net energy savings, peak demand savings, GHG emission reductions, and effective useful life for each program.
Selection of the Treatment and Control Groups The initial treatment group included 886 HEA participants who were selected based on the following criteria: - › Be 100% electrically heated according to HOT2000 (meaning that the primary heati...
AI summary The treatment group consists of 886 HEA participants selected based on specific criteria, including being 100% electrically heated and using HOT2000 version 11.10 or 11.11. The control group includes 2,315 past HEA participants with similar characteristics to ensure a matched comparison, using actual billing data rather than modelled consumption for analysis.
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 The document outlines a method for calculating energy savings using normalized annual consumption data from treatment and control groups before and after program participation. Energy savings are adjusted using ratios derived from the HOT2000 model to account for variations in energy efficiency.
2023 Savings Calculation Approach Given the inconclusive results obtained through the billing analysis performed as part of this evaluation, the Evaluator considers it appropriate to keep using the current savings calculation methodology a...
AI summary The Evaluator recommends continuing the investigation into inconclusive billing analysis results to determine the impact of billing data and behavior changes on savings calculations. Current ORs should not be used beyond 2023 due to uncertainty in their accuracy.
2023 MSHP Biomass ETS Sample Size 29 - 29 - MEAN 8.4 - 8.4 - Based: Respondents installed a wood stove, pellet stove, wood furnace or wood fireplace Responses of 'Don't know' and 'Refused' are excluded from the mean calculation
AI summary The table presents data on the mean values for 2023 and Biomass, with a sample size of 29 for each. The data relates to respondents who installed specific heating systems, excluding those who answered 'Don't know' or 'Refused'.
2023 MSHP Biomass ETS Sample Size 53 37 14 2 Agree 57% 54% 57% 2 Disagree 43% 46% 43% 0 Base: Respondents have participated in an ENS program or service in the past
AI summary The table presents survey results showing the percentage of respondents who agree or disagree with various programs (2023, MSHP, Biomass, ETS) based on their participation in an ENS program or service. The sample sizes and response rates are also provided.
Evaluation Approach The 2023 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.
AI summary The 2023 evaluation focused on calculating program component gross and net results, including electrical first-year and lifetime energy savings, peak demand savings, and avoided greenhouse gas emissions.
Table 2: Overall 2023 New Residential Participation and Evaluated Savings Participation Level Gross Savings Net Savings Value Unit Value Unit Value Value Unit NHC Energy Savings 816 Participants 5.868 GWh 0.90 5.281 GWh Lifetime Energy Sav...
AI summary Table 2 presents 2023 data on new residential participation and evaluated savings, including energy savings, peak demand savings, and GHG emission reductions. It also includes Effective Useful Life (EUL) values for different participant tiers and a weighted average EUL of 30.8 years for net energy savings.
Table 3: Comparison of 2023 NHC Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 5.868 GWh 0.91 5.340 GWh 99% Evaluation...
AI summary Table 3 compares the tracked and evaluated savings from the 2023 New Home Construction (NHC) program, including gross savings, net-to-gross ratio (NTGR), net savings, and realization rates for energy and peak demand savings.
2 NHC Evaluation Approach The scope of this evaluation was a condensed impact evaluation. Given the program was wound down in 2023, savings calculations are based on the parameters (e.g. overestimation ratios (ORs)) of the Home Energy Asse...
AI summary This section outlines the evaluation approach for the New Home Construction (NHC) program in 2023. The evaluation focused on calculating gross and net results, including energy savings, peak demand savings, and avoided GHG emissions, based on parameters from the Home Energy Assessment (HEA) evaluation results.
Table 6: 2023 NHC Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Were the savings correctly and consistently calcu...
AI summary The document outlines the evaluation approach for 2023 New Home Construction (NHC), focusing on calculating gross and net results through tracking sheet audits and using the net-to-gross ratio (NTGR) results from 2020. It includes research questions related to data accuracy, savings calculations, and GHG emissions.
3 NHC Impact Evaluation The objectives of the 2023 NHC impact evaluation were to determine NHC gross and net electrical energy and peak demand savings.
AI summary The 2023 NHC impact evaluation aimed to assess the gross and net electrical energy and peak demand savings from New Home Construction.
3.2.1 Gross Energy Savings Calculations Gross Energy Savings = $$(EC_{To\text{-code}} - BC) \times (1 - OR_{To\text{-code}}) - (EC_{As\text{-built}} - BC) \times (1 - OR_{As\text{-built}})$$
AI summary The document presents a formula for calculating gross energy savings, which involves subtracting baseline consumption from energy consumption under different code scenarios and adjusting for overestimation ratios.
Modelled Energy Consumption For each participant, HOT2000 simulations are used to model as-built energy consumption levels, i.e. the energy consumption of a new house as built, and the to-code energy consumption level representing the valu...
AI summary The document discusses the use of HOT2000 simulations to model energy consumption for new homes, comparing as-built levels with to-code levels based on current building codes.
Baseload Consumption Baseload consumption is a fixed value of 8,760 kWh for HOT2000 version 10.5 and 7,118 kWh for HOT2000 version 11. The baseload consumption is removed from the savings calculation since it is not affected by energy effi...
AI summary Baseload consumption is defined as a fixed value in HOT2000 versions 10.5 and 11, and it is excluded from savings calculations as it is not impacted by energy efficiency improvements.
Non-electrical Heating System Used as Backup For NHC, the baseline heating system modelled in the to-code simulation corresponds to 100% electrical baseboards. The total as-built modelled energy consumption level is subtracted from this ba...
AI summary For new home construction (NHC), the baseline heating system modelled assumes 100% electrical baseboards. Non-electrical backup heating systems are not considered in energy savings calculations, even if they are present, to ensure conservative estimates. Only 2% of 2023 participant homes had such systems installed.
Table 8: Unitary Peak Demand Savings Values for CCHPs Variable Symbol Value Rated heating capacity of the new CCHP at outdoor air temperature of – 5 °C [kBTU/h] 𝐻𝐶𝑚𝑖𝑛 Specification data for each installed system Coefficient of performance...
AI summary Table 8 provides unitary peak demand savings values for cold climate air-source heat pumps (CCHPs), including parameters such as heating capacity, coefficient of performance, and conversion factors. The table includes specification data for each installed system and outlines the calculation method for peak demand savings using a peak demand-to-energy ratio equation.
3.2.4 Effective Useful Life As part of the 2020-2023 Measure Assessment 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 establish...
AI summary The 2020-2023 Measure Assessment reviewed effective useful life (EUL) values for electrical energy savings. The 2019 EUL values remained valid for the 2023 evaluation. Tier 3 participants had an EUL of 36 years, while others had 30 years, resulting in a weighted average of 30.8 years.
Table 9: Summary of 2023 NHC EUL Values Tracked Equivalent EUL [years] Evaluated Equivalent EUL [years] Tier 3 Participants 36 No change All Other NHC Participants 30 No change 3.2.5 Evaluated Gross Savings
AI summary Table 9 summarizes the 2023 NHC EUL values, showing that Tier 3 Participants have a tracked equivalent EUL of 36 years with no change in evaluated equivalent EUL, while All Other NHC Participants have a tracked equivalent EUL of 30 years with no change in evaluated equivalent EUL.
[Table](#page-111-1) 10 below presents the annual gross savings for NHC. The gross savings at the generator were calculated using line loss factors between the meter and the generator of 1.095 for energy savings and 1.147 for peak demand s...
AI summary The text discusses the calculation of annual gross savings for new home construction (NHC) using line loss factors, referencing a 2014 study submitted to the Nova Scotia Utility and Review Board. It also mentions the 2020-2023 Measure Assessment, which provides parameters for evaluating energy and peak demand savings from DSM programs.
Table 10: Evaluated 2023 NHC Gross Energy and Peak Demand Savings Total Number of Participants 816 Energy Savings Gross Energy Savings Without Overestimation Ratio (OR) – at the Meter (GWh) 6.449 Gross Energy Savings with OR – at the Meter...
AI summary Table 10 presents evaluated 2023 NHC gross energy and peak demand savings, including metrics such as energy savings at the meter and generator, peak demand savings, and effective useful life (EUL) values applied to different participant tiers.
Table 11: Evaluated 2023 NHC GHG Gross Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 5.868 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annual GHG Emissio...
AI summary Table 11 presents evaluated 2023 NHC GHG gross emission reductions, showing 5.868 GWh of gross energy savings, a GHG emissions factor of 551.9 tonnes of CO2 eq/GWh, and 3,238 tonnes of CO2 eq annual GHG emission reductions.
Table 14: Evaluated 2023 NHC Net Energy and Peak Demand Savings Total Energy Savings Gross Energy Savings – at the Meter (GWh) 5.360 NTGR 0.90 Net Energy Savings – at the Meter (GWh) 4.824 Line Loss Factor 1.095 Net Energy Savings – at the...
AI summary Table 14 presents the evaluated 2023 NHC net energy and peak demand savings, showing gross and net energy savings, line loss factors, and effective useful life. NHC exceeded its energy and peak demand savings targets by 68% and 80%, respectively.
Table 15: Comparison of 2023 NHC Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by EOne 5.868 GWh 0.91 5.340 GWh 99% Evaluatio...
AI summary Table 15 compares the 2023 NHC tracked and evaluated savings at the generator. Energy and peak demand savings tracked by EOne were identical to evaluated gross savings, but net savings were 1% lower due to a slight decrease in the NTGR value from differences in participant homeowner and builder mix.
4 NHC Key Findings and Recommendations As mentioned previously, the main objectives of the 2023 NHC evaluation were as follows: › Calculate NHC gross and net results, namely electrical first-year and lifetime energy savings, peak demand sa...
AI summary The 2023 NHC evaluation found that net electrical energy and peak demand savings exceeded targets, but participation decreased by 11%. Evaluated net savings were slightly lower than those tracked by EOne due to changes in participant mix. A total of 140 homes did not meet the minimum rebate qualification in 2023, up from 75 in 2022.
Table 1: 2023 NHC Corrected Tracked Savings Program Component Results Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value NHC Gross Energy Savings – at the Generator 5.847 GWh 5.868 GWh 0.36% Gross...
AI summary The table and text discuss the corrected tracked savings for the 2023 NHC program. Gross energy savings increased slightly, while gross peak demand savings increased by 22% due to a change in methodology. Net energy savings remained unchanged, but net peak demand savings decreased slightly due to the removal of a participant with negative energy savings but positive peak demand savings.
Table 2: Overall 2023 Efficient Product Rebates Participation and Evaluated Savings Participa ation Level Gross Savings NTGR Net Savings Value Unit Value Unit Value Value Unit Application Rebates • Energy Savings 227 Projects 11.406 GWh 0....
AI summary Table 2 presents the participation and evaluated savings for efficient product rebates in 2023, including energy savings, peak demand savings, GHG emission reductions, and effective useful life. It highlights both Application Rebates and Instant Rebates, with overall net savings calculated using the net-to-gross ratio (NTGR).
GHG Emission Reduction Calculations To obtain net avoided GHG emissions in CO2 eq for BER, the Evaluator multiplied the net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity production. Thi...
AI summary The GHG emission reduction calculations for the BER program involved multiplying net energy savings by a Nova Scotia-specific factor for GHG emissions from electricity production, derived from NS Power data.
3.2.2 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling; this is considered in the gross savings standa...
AI summary This section discusses interactive effects in energy efficiency measures, focusing on lighting projects under the BER program. Adjustments based on the BER CIRx Screening Tool were applied, and observations from site visits were used to ensure accurate interactive effects factors were used.
Table 5: Implementation Status of Past Recommendations for Custom # Recommendations Status Comments 2021 Retrofit-R2 Develop and implement a process to identify project types more suited to quasi-prescriptive approaches (including solar PV...
AI summary The table discusses the implementation of a 2021 recommendation to develop processes for quasi-prescriptive approaches in specific project types such as solar PV and compressed air leaks. EOne worked with the Evaluator to establish protocols, including standardized savings assumptions and eligibility criteria for solar projects, which were implemented in 2022 and 2023.
Table 6: 2022 Custom Evaluation Approach Evaluation Objectives Research Questions Methodology Calculate gross results › Are the data in the tracking sheet complete, accurate, and consistent? › Are the gross savings calculated for a sample...
AI summary This section outlines the 2022 Custom Evaluation Approach, which includes evaluating the completeness and accuracy of data, verifying gross savings calculations, and reviewing EUL values for energy efficiency projects. Various methodologies such as tracking sheet audits, site visits, and energy model reviews are employed to ensure the accuracy of evaluations.
Adjustment Ratio for Solar PV Projects In the fall of 2023, the Evaluator compared full-year energy production data provided by participants with modelled production for 18 solar PV projects with the objective of determining an average act...
AI summary In fall 2023, an Evaluator compared actual energy production data from 18 solar PV projects with modelled data to determine an average actual-to-modelled ratio. This ratio will be used to adjust future estimates of energy savings for custom solar PV projects in Nova Scotia.
Calculations Using Evaluation Results Building on all the above methods and collected data, the Evaluator calculated the first-year and lifetime energy and peak demand savings as per the calculation methodology presented in Sections [4,](#...
AI summary The Evaluator used collected data and established methodologies to calculate first-year and lifetime energy and peak demand savings, referencing Sections 4, 5, and 6 of the document.
GHG Emission Reduction Calculations To obtain Custom net avoided GHG emissions in CO2 eq, the Evaluator multiplied the net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity production. This...
AI summary To calculate custom net avoided GHG emissions in CO2 eq, the Evaluator used the net energy savings multiplied by the latest Nova Scotia-specific GHG emissions factor for electricity production, derived from NS Power data.
4 Retrofit Impact Evaluation The objectives of the 2023 Retrofit impact evaluation were to determine gross and net electrical energy and peak demand savings, annually avoided GHG emissions, as well as EUL and associated lifetime energy sav...
AI summary The 2023 Retrofit impact evaluation aimed to assess electrical energy and peak demand savings, annual GHG emissions avoided, and EUL. Retrofit includes partial savings, single-year projects, and multiyear projects, with specific numbers of projects achieving savings in each category.
Table 10: Impact Evaluation Approach per Retrofit Project Category Retrofit Project Number of Projects Gross Savings Methodology Net Savings Category Completed in 2023 Methodology Regular Retrofit 54 Adjustment ratio determined from a full...
AI summary Table 10 outlines the impact evaluation approach for different retrofit project categories, including Regular Retrofit, Solar PV, and Compressed Air Leak. It provides details on the number of projects, gross savings methodology, and net savings evaluation methods for each category.
4.2 Gross Savings Gross savings correspond to the changes in energy consumption resulting from actions taken by Retrofit participants regardless of why they participated. 10 EOne tracks the annual gross savings of each project. This subsec...
AI summary Gross savings are calculated based on changes in energy consumption from Retrofit participants' actions, regardless of participation reasons. EOne tracks annual gross savings and uses best practices, participant data, and engineering assumptions to evaluate these savings.
4.2.2 Adjustment Ratio for Solar PV Projects The Evaluator compared the full-year energy production data provided by participants with modelled production for 18 solar PV projects with the objective of determining an average actual-to-mode...
AI summary The Evaluator analyzed the energy production data from 18 solar PV projects to determine adjustment ratios for RETScreen Expert and PV Watts modeling tools. The ratios will help estimate actual energy savings for future projects. Adjustments were made for snow loss and irradiance variations, leading to low margin of error and reliable results.
4.2.6 Effective Useful Life The Evaluator reviewed the EUL values of all sampled projects by selecting an appropriate EUL for each measure implemented. The revised measure level EUL values were selected based on the values outlined in the...
AI summary The Evaluator adjusted effective useful life (EUL) values for various projects based on the 2020-2023 Measure Assessment. Adjustments included weighted averages for multi-measure projects, extending EUL for compressed air and refrigeration upgrades, and reducing it for boiler conversions. Solar PV EUL was adjusted to account for panel degradation.
4.2.7 Evaluated Gross Savings Savings for Retrofit are claimed under three defined categories: (1) Partial savings; (2) final savings for singleyear 2023 projects; and (3) final savings for multiyear projects. For projects that claimed par...
AI summary The document discusses the evaluation of gross savings for Retrofit projects, categorizing savings into partial, single-year 2023, and multiyear projects. A true-up adjustment is applied to projects completed in 2023 to align savings with the adjustment ratio determined for the year of completion. Adjustment ratios are derived from prior subsections and are detailed in Table 12.
Table 12: 2023 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 1.017 (±0.9%) 1.011 (±1.9%)...
AI summary Table 12 provides 2023 Retrofit Adjustment Ratios per Project Category, showing energy and demand savings adjustments with margins of error. Some projects received one-time adjustments and were excluded from average calculations.
Table 14: Evaluated 2023 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 14 62 31 107 Energy Savings...
AI summary Table 14 evaluates the 2023 Retrofit Gross Energy and Peak Demand Savings, providing data on the number of projects, energy savings at the meter and generator, adjustment ratios, and effective useful life. The table includes figures for single-year and multiyear projects, along with line loss factors and gross lifetime energy savings.
As presented in [Table](#page-23-0) 15 below, GHG emissions reductions were calculated by applying the Nova Scotiaspecific factor 15 for GHG emissions generated by electricity production to Retrofit gross savings. 15 At the time of writing...
AI summary The document discusses the calculation of GHG emissions reductions based on Nova Scotia-specific factors derived from Nova Scotia Power's 2022 emissions and electricity generation data. It also references line loss factors and effective useful life (EUL) calculations for retrofit projects.
4.3.4 Evaluated Net Savings Net savings are defined as changes in energy use that are specifically attributable to Retrofit. Net Retrofit impacts are calculated by applying the NTGR value to gross savings as illustrated in the following eq...
AI summary Net savings from Retrofit projects are calculated using the NTGR value applied to gross savings. The Evaluator used NTGRs for each project category and adjusted multiyear projects completed in 2023 to ensure net savings align with gross project savings multiplied by the appropriate NTGR. The average EUL was set to 7.0 years, resulting in 9,239 tonnes of CO2 eq in annual GHG emission reductions.
5.2 Gross Savings This subsection describes the methodology used by the Evaluator to review the gross savings of New Construction projects. For New Construction, gross savings are calculated based on energy models developed with building e...
AI summary This section outlines the methodology for calculating gross savings for New Construction projects using energy models developed with building simulation software. Savings are determined by comparing baseline and proposed case electricity consumption, with the baseline defined by the National Energy Code for Buildings and EOne guidelines.
5.2.2 Project Review Findings The 12 project reviews were aimed at validating the energy models developed for the reference and proposed cases of each project and the resulting savings. The Evaluator based the review mainly on the project...
AI summary The project reviews validated energy models for 12 projects, confirming energy efficiency measure installations. Most projects used eQuest for modeling, and project files were well-documented, though some required revisions due to incomplete information. The Evaluator recommends EOne refine its process with checklists to ensure completeness.
5.2.3 Energy Interactive Effects Since New Construction savings are based on the results of simulation models that comprise the total electricity consumption of both proposed and reference buildings, interactive effects are already include...
AI summary The section explains that interactive effects in energy savings calculations are already accounted for through simulation models used to compare proposed and reference buildings, so no additional factor is applied.
5.2.4 Effective Useful Life The Evaluator reviewed the EUL values of each sampled project by calculating a weighted average EUL value based on measure specific EUL values and their associated annual energy savings. The revised measure leve...
AI summary The Evaluator adjusted Effective Useful Life (EUL) values for sampled projects based on the 2020-2023 Measure Assessment, primarily reducing them due to discrepancies with existing EUL definitions for the measure categories.
Table 21: Evaluated 2023 New Construction Gross Energy and Peak Demand Savings Final Savings for Projects Fully Claimed in 2023 Number of Projects 15 Energy Savings Tracked Gross Energy Savings – at the Meter (GWh) 7.465 Adjustment Ratio f...
AI summary Table 21 presents the evaluated 2023 new construction gross energy and peak demand savings, including metrics such as energy savings, adjustment ratios, line loss factors, and effective useful life. These figures are used to calculate GHG emissions reductions based on Nova Scotia-specific factors.
Table 24: Evaluated 2023 New Construction Net Energy and Peak Demand Savings Final Savings for Projects Fully Claimed in 2023 Energy Savings Gross Energy Savings – at the Meter (GWh) 6.189 NTGR 0.69 Net Energy Savings – at the Meter (GWh)...
AI summary Table 24 presents the evaluated 2023 new construction net energy and peak demand savings, including gross and net savings at both the meter and generator levels, along with the effective useful life and line loss factors. These metrics are used to assess the impact of energy efficiency programs.
6.2.3 Effective Useful Life The Evaluator validated the EUL values based on the 2020-2023 Measure Assessment. The Evaluator adjusted the EUL value for one project from 8 to 5.9 years based on a weighted average of the measures of the proje...
AI summary The Evaluator adjusted Effective Useful Life (EUL) values for several projects based on the 2020-2023 Measure Assessment, reducing EUL from 8 to 5.9 years for one project and from 8 to 5 years for two others involving lighting controls.
6.2.4 Evaluated Gross Savings [Table](#page-37-0) 26 below presents the overall evaluated gross savings for Building Optimization, which were obtained by applying project-specific adjustments to energy and peak demand savings as a result o...
AI summary This section discusses the calculation of evaluated gross savings for Building Optimization projects, including the use of adjustment ratios, line loss factors, and references to studies provided by NS Power. Peak demand savings were not tracked but were calculated and added to gross savings.
Table 26: Evaluated 2023 Building Optimization Gross Energy and Peak Demand Savings Finals Savings Claimed for Multiyear projects Final Savings Claimed for Single year Projects Total Number of Projects 1 5 6 Energy Savings Tracked Gross En...
AI summary Table 26 evaluates the 2023 Building Optimization program's energy and peak demand savings, distinguishing between multiyear and single-year projects. It includes metrics like gross energy savings, adjustment ratios, line loss factors, and effective useful life.
As presented in [Table](#page-38-0) 27 below, GHG emissions reductions were calculated by applying the Nova Scotiaspecific factor 20 for GHG emissions generated by electricity production to Building Optimization gross savings. 20 At the ti...
AI summary The document discusses the calculation of GHG emissions reductions based on Nova Scotia-specific factors derived from Nova Scotia Power's 2022 data, including total system emissions and electricity generation. It also mentions line loss factors and Effective Useful Life (EUL) calculations for retrofit projects.
Net savings represent the savings that can be reliably attributed to a service. For Building Optimization, net savings are calculated by applying the NTGR value in the following equation: Net Savings = Gross Savings × NTGR The detailed net...
AI summary Net savings for Building Optimization are calculated using the NTGR value, resulting in an average EUL of 7.9 years and 311 tonnes of CO2 eq in annual GHG emission reductions.
Table 32: Implementation Status of Past Recommendations for SEM # Recommendations Status Comments 2022 SEM – R1 Investigate the impact of interruptible load rates on peak demand savings and, if needed, implement changes to peak demand savi...
AI summary The document discusses the implementation status of past recommendations related to the Service Efficiency Measure (SEM). Key actions include investigating interruptible load rates, including rationale in M&V reports, and conducting process evaluations for SEM and Custom Retrofit. These actions were completed with collaboration from EOne and NS Power.
Table 33: 2023 SEM Evaluation Approach Evaluation Objectives Research Questions Methodology Collect information on participant and partner perspectives › What is the level of satisfaction with SEM? › To what extent do SEM participants adop...
AI summary Table 33 outlines the 2023 SEM Evaluation Approach, focusing on collecting participant perspectives, updating program logic, calculating gross and net results, and identifying barriers and improvements for the SEM program. The methodology includes interviews, audits, and calculations.
EUL Update The Evaluator reconsidered the EUL values used for SEM participants in light of the types of measures implemented by participants in 2023. The EUL values were selected from the values presented in the 2020-2023 Measure Assessmen...
AI summary The Evaluator reassessed EUL values for SEM participants based on the types of measures implemented in 2023, referencing the 2020-2023 Measure Assessment.
Calculations Using Evaluation Results Building on all the above methods and collected data, the Evaluator calculated the first-year and lifetime gross energy and peak demand savings as per the calculation methodology presented in Section [...
AI summary The Evaluator calculated first-year and lifetime gross energy and peak demand savings using collected data and the methodology outlined in Section 13.
GHG Emission Reduction Calculations To obtain net avoided GHG emissions in CO2 eq for SEM, the Evaluator multiplied the net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity production. Thi...
AI summary The document discusses the calculation of net avoided GHG emissions for the Strategic Energy Management (SEM) program, using Nova Scotia-specific factors derived from NS Power data. It also references the 2020-2023 Measure Assessment, which provides detailed parameters for evaluating energy and peak demand savings from EOne's DSM program portfolio.
11.1.3 Suggestions for Improvement While most participants were highly satisfied with SEM and the Service Provider, several still identified opportunities for improvement. - › Three respondents indicated that they would see value in having...
AI summary Participants in SEM expressed satisfaction but highlighted areas for improvement, including increased on-site support, incentives for non-electrical measures, leveraging the EOne network for local expertise, and emphasizing process improvements for greater energy savings.
Objectives The objectives of SEM are to "offer a structured path to SEM and support capital energy efficiency projects identified through SEM". The Evaluator considers that these objectives are attained because the evaluation served to det...
AI summary The Strategic Energy Management (SEM) program aims to provide a structured path to SEM and support capital energy efficiency projects. The Evaluator notes that while many participants benefit from the process, evidence of completed projects is incomplete, and metrics are lacking to fully assess the program's success.
Barriers and Actions The current logic model lists "savings not being guaranteed" and "large time commitment" as the main participant barriers to implementing a strategic energy management approach. While the large time commitment is a sim...
AI summary The document discusses barriers to implementing strategic energy management, including 'savings not being guaranteed' and 'large time commitment.' It notes that competing priorities and lack of qualified staff are significant barriers, suggesting that energy efficiency is not highly valued compared to production needs. The Evaluator identifies actions EOne could take through SEM to address these barriers.
12.2.3 Effective Useful Life As part of the 2020-2023 Measure Assessment activities, the Evaluator reviewed the EUL values for all measure categories to ensure they were still valid and revised them where appropriate. Since all savings wer...
AI summary The Evaluator reviewed and revised Effective Useful Life (EUL) values for measure categories as part of the 2020-2023 Measure Assessment, resulting in a weighted average EUL of 5.46 years based on a bottom-up approach.
12.2.4 Evaluated Gross Savings The 2023 evaluated SEM gross energy and peak demand savings at the generator are listed in [Table 36](#page-62-0) 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 at the generator for the 2023 SEM program, using line loss factors derived from the 2014 Cost of Service Study Progress Update. These factors are calculated by dividing total savings at the generator by total savings at the meter.
Table 36: Evaluated 2023 SEM Gross Energy and Peak Demand Savings New Projects Continuing Projects Total Number of Projects 1 5 6 Energy Savings Tracked Gross Energy Savings (GWh) 0.253 2.981 3.233 Adjustment Ratio for Energy Savings 0.991...
AI summary Table 36 evaluates the 2023 SEM (Strategic Energy Management) gross energy and peak demand savings, detailing both new and continuing projects. It includes metrics such as tracked gross energy savings, adjustment ratios, line loss factors, and gross lifetime energy savings. The table also provides data on peak demand savings and their adjustments.
As presented in [Table 37,](#page-63-0) GHG emissions reductions were calculated by applying the Nova Scotia-specific factor 30 for GHG emissions generated by electricity production to SEM gross savings.
AI summary The document discusses the calculation of GHG emissions reductions using a Nova Scotia-specific factor applied to SEM gross savings, as presented in Table 37.
Table 37: Evaluated 2023 SEM Gross GHG Emission Reductions Total Gross Energy Savings – at the Generator (GWh) 3.381 Nova Scotia-specific GHG Emissions Factor for Electricity Production (tonnes of CO2 eq/GWh) 551.9 Gross Annual GHG Emissio...
AI summary Table 37 presents evaluated 2023 SEM gross GHG emission reductions, showing 3.381 GWh of energy savings and 1,866 tonnes of CO2 eq reduction. Section 12.3 discusses net savings related to these emissions reductions.
12.3.1 Evaluated Net Savings Net savings are defined as the changes in energy use that are specifically attributable to SEM. Since spillover and free-ridership effects were considered nil, net SEM impacts are equal to the gross savings gen...
AI summary The document evaluates the net savings from the Strategic Energy Management (SEM) program in 2023, reporting 3.381 GWh in energy savings and 0.366 MW in peak demand reduction, exceeding targets by 13% and 7% respectively. These savings resulted in 1,866 tonnes of CO2 eq in annual GHG emission reductions.
C. Motivations and Barriers My next questions are specifically about Retrofit. - C1. In your experience, what prevents customers from implementing their energy efficiency projects in the absence of support from EOne? - C2. What are the mos...
AI summary The text explores motivations and barriers related to energy efficiency programs, specifically Retrofit and SEM. It asks about obstacles customers face without EOne support, motivations for participating in Retrofit and OEM offers, and challenges with consultant availability. It also addresses changes in the SEM program's M&V approach and its impact on participation.
4. On-site or Virtual Review (continued) Section to be filled out with questions prior to virtual visits, and answers to be included during the call. Create new worksheet and Notes before interview. Include specific questions to be asked (...
AI summary This section outlines a framework for reviewing energy efficiency projects, focusing on the accuracy of savings calculations and the appropriateness of extrapolating measurement and verification (M&V) results to annual energy consumption. It emphasizes the need to ensure that calculations respect physical laws, use valid references, and account for operating conditions not covered in M&V data.
The reviewer must verify the model following guidance defined in the tab "Modelling Review Checklist". Description from project documentation Virtual visit, call or document As modeled by participant Changes to model by Econoler Descriptio...
AI summary The document contains a table and simulation outputs related to energy consumption and demand modeling, including baseline and proposed scenarios, energy savings tracking, and adjustments made by Econoler. The content focuses on modeling and verification processes.
1 Results General Overview - Check savings (in %) for each end use and identify where the major savings lie. Crosscheck with the energy efficiency measure list to validate if the savings claimed make sense. - Verify GJ/m2 and check benchma...
AI summary The text outlines steps for verifying energy savings and energy intensity in buildings, emphasizing the importance of checking savings percentages, cross-referencing with energy efficiency measures, and validating energy intensity using benchmarking data while considering building-specific factors.
4 Loads and Schedules - Validate occupancy and plug-load values according to NECB. - Validate lighting loads by spot-checking installed lighting power in random rooms vs. electrical plans and shop drawings. - Validate domestic hot water (D...
AI summary The text outlines procedures for validating loads and schedules in building models, including checking occupancy, plug-load, lighting, and domestic hot water values against specific guidelines and standards such as NECB and EfficiencyOne.
5 HVAC Systems This section can be very complex, depending on the building modelled, so the following should be considered as general guidelines. Please refers to E1 White Paper - Baseline HVAC System in MURBs for MURBS - Validate that all...
AI summary This section provides guidelines for accurately modelling HVAC systems in buildings, emphasizing validation against shop drawings, code specifications, and software bugs, as well as ensuring proper airflow and system efficiency.
A. Participation Process - A1. At what point in the participation process does EPS become involved? - A2. When EPS first contacts participants, how well do they understand what "strategic energy management" implies? What are their expectat...
AI summary The document outlines a series of questions regarding the participation process in the Strategic Energy Management (SEM) program, focusing on EPS's involvement, understanding of SEM by participants, program structure, and differences between EPS and OEMs. It also explores how the SEM process interacts with other programs like the Custom Retrofit initiative and Energy Management Information Systems (EMIS).
2 SBES Evaluation Approach The 2023 SBES evaluation consisted of a comprehensive impact evaluation and a process evaluation. The evaluation for the Commercial Direct Install (CDI) pilot was a condensed evaluation as it was evaluated in a p...
AI summary The 2023 SBES evaluation included a comprehensive impact and process evaluation, with the Commercial Direct Install (CDI) pilot being a condensed evaluation due to prior assessment. The main objectives were to collect perspectives and calculate energy savings, peak demand savings, and GHG emissions.
GHG Emission Reduction Calculation To obtain net avoided GHG emissions in CO2 eq for SBES, the Evaluator multiplied the net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity production. Thi...
AI summary The document explains how net avoided GHG emissions for the Small Business Energy Solutions (SBES) program are calculated by multiplying net energy savings by a Nova Scotia-specific factor derived from NS Power data.
Table 14: 2023 SBES Gross Savings Adjustments Path and Measure Category Energy Savings Peak Demand Savings Adjustment Ratio Margin of Error Adjustment Ratio Margin of Error Projects Sampled in Project Reviews Lighting 1.070 5.3% 0.917 8.9%...
AI summary This section discusses adjustments made to energy and peak demand savings in the 2023 SBES program. Lighting and HVAC measures had specific adjustment ratios, while HVAC models were reviewed for cold climate performance. The Evaluator also updated HSPF and SEER metrics to align with new regulations.
4.2.4 Interactive Effects Interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other elements such as heating and cooling. For the SBES Audit and DIY paths, these are ta...
AI summary Interactive effects refer to the impact of energy efficiency measures on other energy consumption elements like heating and cooling. These effects are considered in the SBES Audit and DIY paths using the EOne CIRx Screening Tool. Since 2016, building-specific factors have been used, and adjustments were made based on site observations. For the CDI pilot, average factors were established in 2020-2023 and have remained unchanged since 2022.
4.2.5 Effective Useful Life As part of the 2020-2023 Measure Assessment 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 establish...
AI summary The Evaluator reviewed Effective Useful Life (EUL) values for energy savings calculations during the 2020-2023 Measure Assessment. Lighting measures had updated baseline changes, while other EUL values remained valid. The gross weighted average EUL is 15.4 years.
Table 16: Evaluated 2023 SBES Gross Energy and Peak Demand Savings – Audit Path Category of Measure Commercial Kitchen DHW HVAC Lighting Agriculture Total for All Categories Energy Savings Tracked Gross Energy Savings Without Adjustment Ra...
AI summary Table 16 evaluates the 2023 SBES gross energy and peak demand savings through an audit path, including tracked energy savings, adjustment ratios, line loss factors, and gross lifetime energy savings across various categories such as commercial kitchen, DHW, HVAC, and lighting.
Table 17: Evaluated 2023 SBES Gross Energy and Peak Demand Savings – DIY Path Category of Measure Agriculture Commercial Kitchen DHW HVAC Lighting Motors Refrigeration Renewable Generation Total for All Categories Energy Savings Tracked Gr...
AI summary Table 17 presents evaluated 2023 SBES (Small Business Energy Solutions) gross energy and peak demand savings for the DIY (Do-it-yourself) path. It includes metrics such as energy savings, adjustment ratios, effective useful life, and peak demand savings across various categories like HVAC, lighting, and refrigeration.
Table 19: Evaluated 2023 SBES Gross Energy and Peak Demand Savings – All Paths Program Path Audit DIY CDI Pilot Total Energy Savings Gross Energy Savings – at the Meter (GWh) 0.492 7.852 0.222 8.567 Line Loss Factor 1.069 1.071 1.093 - Gro...
AI summary Table 19 presents the evaluated 2023 SBES (Small Business Energy Solutions) gross energy and peak demand savings across different program paths, including Audit, DIY, and CDI Pilot, providing data on energy savings, line loss factors, effective useful life, and peak demand savings.
Figure 11 and Figure 12 below compare tracked gross savings to evaluated gross savings for energy and [peak dem](#page-198-0)and [savings re](#page-198-1)spectively. Evaluated gross energy savings are about 3% above tracked values, primari...
AI summary The text compares tracked and evaluated gross savings for energy and peak demand, noting a 3% and 1% difference respectively due to adjustments in lighting and HVAC measures. GHG emissions reductions were calculated using Nova Scotia-specific factors derived from Nova Scotia Power's 2022 data.
Table 1: FR – Audit Path C3. If your business had not received the free audit of your facility by a certified energy auditor, would you have identified the opportunity for the energy efficient upgrades that you installed? IF 1. Yes: EMPTY...
AI summary The table explores the influence of previous participation in energy efficiency programs on business decisions to install energy-efficient upgrades, focusing on factors like audits, program participation, and contractor engagement.
Water Heater Controller Meter Data Analysis One of the main objectives of the 2023 evaluation was to update the baseline methodology and, as data permit, to improve the accuracy of 2022 unitary available DR capacity. To review the baseline...
AI summary The 2023 evaluation aimed to update the baseline methodology for calculating available DR capacity from water heater controllers. The Evaluator used meter data from 2022 and 2023, analyzed various baseline definitions, and developed new unitary available DR capacity for Shifted controllers. The 2020-2022 Measure Assessment was updated accordingly to reflect these changes.
Meter Data Analysis with Project Reviews and Follow-up Phone Interviews For each project, the Evaluator reviewed how tracked available DR capacities were established. The Evaluator reviewed the baseline methodology based on both data analy...
AI summary The Evaluator conducted meter data analysis, project reviews, and follow-up phone interviews to assess demand response (DR) capacities. The baseline methodology was validated through data analysis, literature reviews, and participant interviews. DR capacity was analyzed per hour and during specific events, with results detailed in Subsection 7.2.1.
3. 1.2 Peak Demand Savings Factors 137 3.7.2 Peak Demand Savings Factors189 3.7.3 Solar Photovoltaic Measures189 (1) Solar Photovoltaic Systems189 4 EFFECTIVE USEFUL LIFE 191 4.1 LED Lamps and Fixtures191 4.2 Other Measures 196 APPENDIX I...
AI summary The document contains tables and appendices related to energy efficiency measures, including peak demand savings factors, effective useful life of LED lamps and fixtures, and interactive effects factors for residential lighting products. It also includes detailed calculations and summaries for various energy efficiency programs and technologies.
Table 25: Interactive Effects Factors for Pipe Insulation and Hot Water Tank Wraps 35 Table 26: Interactive Effects Factors for Water Heating Measures36 Table 27: Peak Demand-to-energy Ratios for Water Heating Measures 38 Table 28: Drain W...
AI summary The text presents a series of tables detailing energy savings values for various energy efficiency measures, including pipe insulation, hot water tank wraps, drain water heat recovery systems, heat pump water heaters, low-flow showerheads, faucet aerators, thermostatic shower valves, and space heating measures such as mini-split and ground-source heat pumps. These tables provide data on unitary energy savings, peak demand-to-energy ratios, and installation rates for efficiency programs.
Table 72: Electrical Unitary Energy Savings Calculation for Smart Thermostats for Electrical Heating Systems87 Table 73: Interactive Effects Factors for Appliances89 Table 74: Peak Demand-to-energy Ratios for Appliances 90 Table 75: Clothe...
AI summary The document contains a series of tables related to energy savings calculations and measure summaries for various energy efficiency programs, including smart thermostats, clotheslines, refrigerators, freezers, room air conditioners, dehumidifiers, clothes dryers, and plug load control measures.
Table 116: ENERGY STAR Certified Pool Pump Measure Summary 127 Table 117: Unitary Savings Values of ENERGY STAR Certified Pool Pumps 128 Table 118: Three-element Water Heater Measure Summary 129 Table 119: Domestic Water Heater Timer Measu...
AI summary The document contains a series of tables summarizing energy efficiency measures, including ENERGY STAR certified pool pumps, three-element water heaters, domestic water heater load control, LED lamps, linear LED fixtures, outdoor LED fixtures, directional and architectural LED fixtures, and occupancy/motion sensors. These tables provide measure summaries, unitary savings values, baseline wattages, and other relevant data.
Table 163: Faucet Aerator Measure Summary173 Table 164: Electrical Unitary Savings Values for Faucet Aerators174 Table 165: Average Hot Water Usage per Faucet174 Table 166: Thermostatic Shower Valve Measure Summary175 Table 167: Electrical...
AI summary The text lists numerous tables summarizing energy efficiency measures, including faucet aerators, thermostatic shower valves, pipe insulation, hot water tank wraps, compressed air leak repairs, VFDs, solar PV systems, and LED lighting. These tables provide details on energy savings, installation rates, and baseline evolution for various efficiency measures.
KEY DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Equipment life The number of years installed equipment will operate before it fails. Equivalent CO2 A unit of measurement indicating the amount of carbon di...
AI summary The text defines key terms related to energy efficiency and program evaluation, including accuracy, equipment life, equivalent CO2, equivalent effective useful life, evaluated savings, and evaluation plan. These definitions are crucial for understanding program performance and energy savings calculations.
2.1.1 Interactive Effects In a home, the implementation of energy efficient lighting products interacts with the energy consumption of other elements such as heating and cooling. The interactive effects factors for residential lighting pro...
AI summary The text discusses the interactive effects of energy-efficient lighting products in homes, particularly how they interact with heating and cooling systems. It references a 1992 study by ADS Groupe-Conseil Inc. for Hydro-Québec and notes that climate data from Nova Scotia and Quebec are comparable, allowing the study's results to be applicable to EfficiencyOne (EOne) lighting measures.
Hours of Operation The daily hours of operation value is based on the Northeast Residential Lighting Hours-of-use (NERHOU) 19 study, which found that the average runtime is 2.7 hours/day for all types of bulbs and 2.9 hours per day for eff...
AI summary The document discusses the determination of hours of operation (HOU) for lighting in Nova Scotia, referencing the NERHOU study and a metering study conducted in 2016-2017. It explains the rationale behind using 2.7 hours/day for all bulbs and 2.9 hours/day for efficient bulbs, considering theories like differential socket selection, shifting usage, and the snapback effect. Adjustments are made to avoid overestimating savings, with specific considerations for programs like Instant Savings and EPI.
Table 15: Electrical Unitary Savings Values for Dimmer Switches Parameter Value Source Average Wattage [W] 2 x 43 W = 86 W As per Canadian regulation, the wattage of general-service lamps with a luminous flux in the range of 750 and 1,050...
AI summary Table 15 provides electrical unitary savings values for dimmer switches, including average wattage, dimmed wattage percentage, daily hours of operation, and annual energy savings. These values are based on Canadian regulations, OPA measures, and data from NERHOU.
Table 20: LED Nightlight Measure Summary Parameter EPI Reference Measure Description and Identification Measure Description and Identification Measure Description LED nightlights to reduce electricity consumption N/A Additional Notes - Gen...
AI summary Table 20 provides a summary of the LED nightlight measure under the EPI program, including parameters like installation rate, effective useful life, and energy savings. The table references specific subsections for detailed calculations and assumptions.
Table 21 lists the parameters and corresponding values used in the equation below for LED nightlights and the resulting unitary values. The values for displaced wattages and hours of operation are consistent with the values used by other j...
AI summary The text discusses the calculation of energy savings for LED nightlights using a standardized formula, with parameters such as displaced wattages and hours of operation aligned with values used in other jurisdictions like Pennsylvania.
Single-family Homes Based on site visit results from the 2015 evaluation 44 and accounting for the proportion of DHW insulation measures installed in conditioned spaces, the average number of months during which heating interactive effects...
AI summary The text discusses the evaluation of heating interactive effects in single-family homes, particularly focusing on the impact of domestic hot water (DHW) insulation and heat pump efficiency. It notes that heating interactive effects occur for 3.8 months on average and adjusts the interactive effects factor for heat pumps due to their superior efficiency.
Apartments Based on the assumption that DHW insulation measures are installed in conditioned spaces, a heating period of eight months was used as the average number of months during which heating interactive effects occur in an apartment....
AI summary The analysis assumes DHW insulation in conditioned spaces and uses an eight-month heating period and a two-month cooling period to account for interactive effects. COP values of 3.5 and 2.9 are used for heat pumps and air conditioning systems, respectively.
Summary [Table](#page-170-0) 26 summarizes the interactive effects factors established for each water heating measure.
AI summary Table 26 outlines the interactive effects factors for various water heating measures, highlighting their combined impacts.
The DWHR unitary savings values were determined using the HOT2000 simulation tool since it includes DWHR as an option. Although a typical single-family home and multifamily building were modelled, the savings for DWHR were the same regardl...
AI summary The document discusses the determination of DWHR unitary savings values using the HOT2000 simulation tool, noting that savings are consistent per occupant across building types, with values derived from an equation and a referenced table.
Table 31: Heat Pump Water Heater Measure Summary Parameter HEA, MHEEP Instant Savings Reference Measure Description and Identification Measure Description Heat pump wa ter heater for high -efficiency wat er heating Additional Notes Value f...
AI summary Table 31 provides a summary of heat pump water heater measures, including energy savings, peak demand savings, and other parameters like installation rate and useful life. The table compares data from HEA, MHEEP, Instant Savings, and other reference points, with some values derived from calculations and subsections of the document.
Table 32: Electrical Unitary Savings Values for Heat Pump Water Heaters HEA, MHEEP stant Savings Parameter Symbol Non- Electrical Space Heating Electric Resistance Space Heating Heat Pump Space Heating Non- Electrical Space Heating Electri...
AI summary Table 32 presents electrical unitary savings values for heat pump water heaters, including savings figures, shares of electrical water heaters in Nova Scotia, and average unitary energy savings. The data is sourced from Ecotope inc. and Statistics Canada, with additional references to tracking sheets and studies.
Table 33: Low-flow Showerhead Measure Summary Parameter Е PI Reference Measure Description and Identifica Measure Description and Identification Measure Description Low-flow s showerheads on to reduce domestic ho t water N/A Singl e-family...
AI summary Table 33 summarizes the Low-flow Showerhead Measure, including parameters such as installation rates, energy savings, and peak demand savings. The table provides details on flow rate reductions, useful life, and energy savings metrics for different categories of homes and apartments.
Table 45: Hot Water Tank Wrap Measure Summary Parameter EPI Reference Measure Description and Iden tification Measure Description Hot water tank wrap that water consumption N/A Additional Notes Single-family homes Apartments General Parame...
AI summary Table 45 provides a summary of the Hot Water Tank Wrap measure, including installation rates, energy savings parameters, and other relevant details. The table outlines specific values for single-family homes and apartments, referencing various subsections for additional information.
Parameter Symbol Value for Single-family Homes Value for Apartments Source Layer 2: Tank Wrap External Radius of the Layer [m] re 0.351 0.331 Estimated from Frost King Insulation Blanket Specifications77 Internal Radius of the Layer [m] ri...
AI summary The document provides technical parameters and calculations related to the thermal efficiency of water heater insulation blankets for single-family homes and apartments. It includes details on insulation layer dimensions, thermal resistance, heat transfer rates, and energy savings estimates.
Table 54: Ground-source Heat Pump Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure Description Ground-source heat pumps for high-efficiency space heating N/A Additional Notes - General Param...
AI summary Table 54 provides a summary of the Ground-source Heat Pump Measure, including its description, installation rate, useful life, and energy savings parameters. The table outlines details on unitary energy savings, peak demand-to-energy ratio, and interactive effects factors for energy and peak demand savings.
The electrical unitary energy savings for GSHPs are calculated using the variables defined and listed in the equation and [Table](#page 1-2) 55 below. $$\begin{split} Energy \, Savings \, _{kWh} &= Heating \, Savings + Cooling \, Savings \...
AI summary The text provides a formula for calculating electrical unitary energy savings for ground-source heat pumps (GSHPs), incorporating variables such as heating and cooling savings, performance factors, and operating hours.
Table 55: Electrical Unitary Savings Values for Ground-source Heat Pumps Parameter Symbol Value Source Rated heating capacity of the new heat pump [BTU/h] 𝐻𝐶 Specification data for each installed system AHRI certified value Rated cooling c...
AI summary Table 55 presents electrical unitary savings values for ground-source heat pumps, including parameters such as heating and cooling capacities, performance factors, and conversion factors. These values are sourced from AHRI certified data, assumptions, and technical reference manuals.
Unitary Peak Demand Savings The unitary peak demand savings for GSHPs installed under Green Heat are established using the equation below. All variables from this equation are defined in [Table](#page-0-0) 55. Since standard MSHPs and CASH...
AI summary The unitary peak demand savings for ground-source heat pumps (GSHPs) under the Green Heat program are calculated using a specific equation that takes into account heating load, coefficient of performance (COP) values, and degree day factor (DRF). Standard mini-split heat pumps (MSHPs) and central air-source heat pumps (CASHPs) are assumed to use electric resistance backup during peak periods, affecting their baseline electrical demand.
Installation Rates Installation rates for GSHPs are estimated at 100% due to their relatively high cost. [canada/about-energy-star-canada/energy-star-announcements/publications/heating-cooling-heat-pump/air-source-heat](https://www.nrcan.g...
AI summary The installation rates for ground-source heat pumps (GSHPs) are estimated at 100% due to their high cost. The text references technical manuals and efficiency data from various sources, including the Pennsylvania Public Utility Commission and the National Research Council of Canada.
Table 56: Wood and Pellet Stove and Fireplace Insert Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure Description fuel Wood and pellet stoves and fireplace inserts for space heating from ren...
AI summary Table 56 presents a summary of energy savings parameters for wood and pellet stoves and fireplace inserts, including unitary energy savings, peak demand savings, and interactive effects factors. The table also includes reference details and parameters such as effective useful life and installation rates.
Electrical Unitary Energy Savings The electrical unitary savings values for wood and pellet stoves and fireplace inserts are based on HOT2000 energy models. 85 The baseline of the models uses electric resistance heating as the primary heat...
AI summary The document discusses the calculation of electrical unitary energy savings for heating systems, using HOT2000 energy models and COP values. It outlines how savings are determined based on the type of heating system, such as electric resistance heating or air-source heat pumps, and references specific COP and HSPF values for accuracy.
Table 57: Electrical Unitary Energy Savings Values for Wood and Pellet Stoves Greer n Heat HE A Parameter Parameter Symbol Pellet Stove/Fireplace Insert Wood Stove/Fireplace Insert Pellet Stove/Fireplace Insert Source Coefficient of perfor...
AI summary Table 57 presents electrical unitary energy savings values for wood and pellet stoves, comparing baseline electric resistance and heat pump performance. It includes parameters like coefficient of performance (COP) and energy savings in kWh/year, with data sources such as HOT2000 energy models and AHRI certified values.
Table 58: Unitary Peak Demand Savings Values for Wood and Pellet Stoves and Fireplace Inserts Green Ho eat, HEA Parameter Wood stove/ Fireplace Insert with electrical baseline Pellet stove/ Fireplace Insert with electrical baseline Wood st...
AI summary Table 58 presents unitary peak demand savings values for wood and pellet stoves and fireplace inserts, comparing different baseline scenarios. The table includes data from the 2013 Evaluation HOT2000 Energy Models, highlighting energy efficiency metrics for various heating systems.
Summary [Table](#page-6-0) 59 presents a summary of the values used to calculate wood and pellet boiler and furnace savings. The detailed methodology follows.
AI summary Table 59 summarizes the values used to calculate savings from wood and pellet boilers and furnaces. The detailed methodology for these calculations is presented following the table.
Table 59: Wood and Pellet Boiler and Furnace Measure Summary Parameter Green Heat HEA Reference Measure Description and Identification Measure Description Wood and pellet boilers and furnaces for space heating from renewable fuel Fuel Wood...
AI summary Table 59 summarizes the energy savings and parameters associated with wood and pellet boilers and furnaces for space heating. It includes details on installation rates, useful life, energy savings, and peak demand savings for various fuel types and efficiency levels.
Table 62: Solar Air Heating Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Description Solar air heating systems N/A Additional Notes - General Parameters Installation Rate 100% See details be...
AI summary Table 62 provides a summary of the Solar Air Heating Measure, including parameters such as installation rate, effective useful life, and energy savings. The table indicates that the installation rate is 100%, the effective useful life is 20 years, and there are no unitary energy savings, as they are calculated using RETScreen.
Parameter Symbol Value for Electrical Resistance Heated Homes Value for Heat Pump Heated Homes Source Energy savings per foot of tape [kWh/ft] EPSFtape 9.9 2021 Connecticut Program Savings Document, 18th Edition, p. 248 R-value of existing...
AI summary The text presents a table with energy savings parameters for homes heated by electrical resistance and heat pumps, including energy savings per foot of tape, R-values of existing windows, and energy savings from air sealing and insulation. It also includes adjustment percentages and calculated unitary energy savings.
Summary [Table](#page-17-0) 68 presents a summary of the values used to calculate programmable thermostat savings. The detailed methodology follows.
AI summary Table 68 summarizes the values used to calculate programmable thermostat savings, with a detailed methodology provided in the proceeding.
Table 68: Programmable Thermostat Measure Summary Parameter Instant Savings, MHEEP Reference Measure Description and Identification Measure Description Programmable thermostats to reduce electricity consumption N/A Additional Notes - Gener...
AI summary Table 68 provides a summary of the Programmable Thermostat Measure, focusing on parameters such as installation rate, effective useful life, and energy savings. The table details unitary energy savings and peak demand savings, with specific values and references to subsections for further details.
For programmable thermostats, the electrical unitary energy savings are based on the results from a Hydro-Québec 2009 program evaluation of electronic thermostats in residential new construction. 96 The savings values include energy saving...
AI summary The unitary energy savings for programmable thermostats are calculated using data from a Hydro-Québec 2009 program evaluation, which considers three dwelling types and their proportions in Nova Scotia's residential market as defined by the 2016 Census Profile.
Table 69: Electrical Unitary Savings Calculations for Programmable Thermostats Parameters Symbol Single- family Duplex/Triplex/ Townhouse Apartment Source Proportion of Each Dwelling Type Dwelling Proportion 69% 11% 20% Statistics Canada 2...
AI summary Table 69 presents electrical unitary savings calculations for programmable thermostats across different dwelling types. It includes gross energy savings, unitary savings for electronic thermostats, and temperature setback savings. The 221 kWh value is specifically used for the MHEEP program, as most participants are in single-family homes.
Table 70: Smart Thermostat for Electrical Heating System Measure Summary Parameter Instant Savings, EPI, MHEEP Reference Measure Description and Identification Measure Descript ion Smart thermospace heating Additional Notes Controlled Heat...
AI summary Table 70 provides a summary of the Smart Thermostat for Electrical Heating System measure, including parameters like installation rate, useful life, unitary energy savings, and peak demand-to-energy ratio. The table outlines energy and demand savings associated with the measure.
Table 72: Electrical Unitary Energy Savings Calculation for Smart Thermostats for Electrical Heating Systems Parameter Symbol Electric Baseboard MSHP Electric In-floor Heating Source Average heating energy consumption of a home [kWh/year]...
AI summary Table 72 presents the calculation of electrical unitary energy savings for smart thermostats used in electrical heating systems. It includes parameters such as average heating energy consumption, percentage of heating load saved, and the coefficient of performance for heating systems.
2.4.1 Interactive Effects Retiring old appliances causes an increase in the heating load in the winter and a decrease in the cooling load in the summer since compressors on old appliances release significantly more waste heat than newer, m...
AI summary Retiring inefficient appliances can lead to increased heating loads in winter and decreased cooling loads in summer. In Nova Scotia, due to the short cooling season and low electricity use for heating, interactive effects are negligible, leading to zero interactive effects factors for energy and peak demand savings.
Table 76: Electrical Unitary Savings Values for Clotheslines and Outdoor Drying Racks Parameter Value Source Number of Laundry Loads per Year [loads/year] 197 2015 NRCan107 Proportion of Loads Dried on Clotheslines [%] 16.3% OPA 2011108 En...
AI summary Table 76 presents electrical unitary savings values for clotheslines and outdoor drying racks, including parameters such as the number of laundry loads per year, proportion of loads dried on clotheslines, energy consumption per load, and unitary energy savings. The data sources include NRCan and OPA.
Table 84: Dehumidifier Replacement or Retirement / ENERGY STAR Certified Dehumidifier Measure Summary Parameter ARet Instant Savings Reference Measure Description and Identification Measure Description Replacement or retirement of old dehu...
AI summary This table outlines the energy savings parameters for dehumidifier replacement or retirement and ENERGY STAR certified dehumidifiers. It includes installation rates, effective useful life, unitary energy savings, and peak demand savings.
Energy Consumption Component Energy Consumption (kWh/year) Adjustment Factor for Electrical Water Heating Adjustment Factor for Cold Water Usage Adjusted Energy Consumption (kWh/year) Water Heating System 118 0.804 0.67 64 Internal Clothes...
AI summary Table 92 presents electricity consumption data for standard clothes washers, including water heating systems, internal clothes dryers, and washing machine drums. Adjustments factors for electrical water heating and cold water usage are applied to calculate adjusted energy consumption.
& lt;sup>147 ENERGY STAR, ENERGY STAR Certified Residential Clothes Washers, https://www.energystar.gov/productfinder/product/certified-clothes-washers/ (Last accessed December 21, 2018) & lt;sup>148 Natural Resources Canada, Search: Cloth...
AI summary The text discusses the calculation of water heating energy savings for clothes washers, based on the proportion of electrically heated water. It references ENERGY STAR ratings and data from the Energy Efficiency Ratings directory and EPI tracking sheets from 2018 and 2019.
Table 105: ENERGY STAR Certified Dishwasher Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description ENERGY STAR certified dishwasher that uses less than 250 kWh and reduces electricity...
AI summary Table 105 provides a summary of the ENERGY STAR certified dishwasher measure, including parameters such as installation rate, effective useful life, energy savings, and peak demand savings. It outlines the efficiency of the dishwasher and its impact on electricity consumption.
Table 112: Power Bars with Integrated Timer Measure Summary Parameter Instant Savings Reference Measure Description and Identification Measure Description Power bars with integrated timer to reduce electricity consumption N/A Additional No...
AI summary This table outlines the energy savings parameters for power bars with integrated timers. It includes details such as installation rate, effective useful life, unitary energy savings, and peak demand-to-energy ratio.
Summary [Table](#page-66-1) 120 presents a summary of the values used to calculate electric thermal storage savings. The detailed methodology follows.
AI summary Table 120 summarizes the values used to calculate electric thermal storage savings, with a detailed methodology provided in the following text.
Table 120: Electric Thermal Storage Measure Summary Parameter Green Heat Reference Measure Description and Identification Measure Description Electric thermal storage systems to reduce peak demand space heating load N/A Additional Notes -...
AI summary Table 120 provides a summary of the Electric Thermal Storage Measure, focusing on parameters such as installation rate, useful life, and energy savings. The table outlines details related to Green Heat, including peak demand-to-energy ratios and interactive effects factors for energy and peak demand savings.
Table 127: Linear LED Fixture Measure Summary Parameter BER Instant Rebates Reference Measure Description and Identification Measure Description Linear LED fixtures Additional Notes - N/A General Parameters In-service Rate 100% See details...
AI summary Table 127 outlines the parameters for BER Instant Rebates related to Linear LED Fixtures, including in-service rate, effective useful life, energy savings, and peak demand savings. The table provides details on unitary energy savings, peak coincidence factor, and interactive effects factors for both recessed and non-recessed fixtures.
Summary [Table](#page-79-0) 130 presents a summary of the values used to calculate linear LED lamps savings. The detailed methodology follows.
AI summary Table 130 summarizes the values used to calculate linear LED lamp savings, with a detailed methodology provided in the document.
Table 130: Linear LED Lamp Measure Summary Parameter BER Instant Rebates Reference Measure Description and Identification Measure Description Linear LED lamps Additional Notes - N/A General Parameters In-service Rate 85% See details below...
AI summary Table 130 summarizes the parameters for Linear LED Lamp Measure, including in-service rate, effective useful life, energy savings, and peak demand savings. It provides details on unitary energy savings, peak coincidence factor, and interactive effects factors for both recessed and non-recessed lamps.
Table 131: Electrical Unitary Savings Values for Linear LED Lamps Parameter Value Source Baseline Wattage [W] N/A Based on specification data for each rebated unit. See Table 132 below Ballast Factor 0.88 Assumption for normal ballast fact...
AI summary The document presents two tables related to energy savings from linear LED lamps, including baseline wattage and unitary savings values. The tables are used to calculate energy savings for rebate programs. The In-Service Rate section is mentioned but not elaborated upon.
Parameter Value Source Baseline Wattage [W] N/A Based on specification data for each rebated unit. (See Table 135 for wall-mounted area luminaires and Table 136 for architectural and flood spot luminaires New Wattage [W] N/A Based on watta...
AI summary The table provides parameters for calculating electrical unitary savings values for outdoor LED fixtures, including baseline and new wattage, and hours of operation. Values are based on specification data and assumptions about usage.
Table 140: Occupancy/Motion Sensor Measure Summary Parameter BER Instant Rebates Reference Measure Description and Identification Measure Description Occupancy/N Motion sensors Additional Notes Ceiling or wall remote-mounted wall switch Fi...
AI summary Table 140 provides a summary of occupancy and motion sensor measures, including parameters such as energy savings, useful life, and demand savings. It references various subsections and calculations related to energy efficiency and savings factors.
Electrical Energy Unitary Savings 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. Al...
AI summary The document discusses the calculation of electrical energy unitary savings for circulator pumps, using an equation adapted from Vermont data to Nova Scotia, considering average operating hours in each jurisdiction. EOne's power tiers are used due to minimal differences compared to Vermont's TRM tiers.
Table 149: Unitary Peak Demand Savings Values for Booster Pumps Parameter Symbol BER-AR Source Annual unitary demand savings per rated horsepower from the use of a VFD booster pump [W/HP] 172 172 2020 Hawaii TRM Annual unitary demand savin...
AI summary Table 149 presents unitary peak demand savings values for booster pumps, including annual demand savings per horsepower, peak coincidence factor, and calculated unitary peak demand savings. The table includes data sourced from the 2020 Hawaii TRM and calculations based on project data from eight Custom Retrofit booster pump projects.
Summary [Table](#page-95-1) 150 presents a summary of the values used to calculate electric thermal storage savings. The detailed methodology follows.
AI summary Table 150 summarizes the values used to calculate electric thermal storage savings, with a detailed methodology provided in the proceeding document.
Table 150: Electric Thermal Storage Measure Summary Parameter BER-AR SBES Reference Measure Description and Identification Measure Description Electric thermal storage systems to reduce peak demand space heating load N/A Additional Notes G...
AI summary Table 150 provides a summary of electric thermal storage measures, including parameters such as installation rates, effective useful life, and energy savings. The table outlines details for BER-AR and SBES, with references to specific subsections for additional information.
Table 152: Electrical Unitary Savings Values for Advanced RTU Controls Parameter Symbol BER-AR Source Indicator of cooling in the RTU 𝐴𝐶 RTU with AC: 1 RTU without AC: 0 - Indicator of electrical heating in the RTU 𝐸𝑙𝑒𝑐𝐻𝑒𝑎𝑡 RTU with electr...
AI summary Table 152 outlines electrical unitary savings values for advanced RTU controls, including parameters such as cooling indicators, COP of heating equipment, and energy savings factors from DCV and VFD. It provides data sources and assumptions for calculations.
177 Illinois Energy Efficiency Stakeholder Advisory Group, 2021 Illinois Statewide Technical Reference Manual for Energy Efficiency Version 9.0, Volume 2 , September 2020, p. 393 178 Government of Canada, Historical Climate Data. Retrieved...
AI summary The text includes citations to a technical reference manual, historical climate data, and a DSM evaluation report. These references are used to support discussions related to energy efficiency programs and climate data analysis.
Hot Water Insulation Measures For hot water insulation measures, namely pipe insulation and hot water tank wraps, the interactive effects factors are based on engineering calculations to account for the duration of the heating and cooling...
AI summary The text discusses the calculation of interactive effects factors for hot water insulation measures, including pipe insulation and hot water tank wraps. It outlines assumptions made for SBES, considers the impact of heat pump efficiency, and references engineering calculations and regulatory standards.
Table 156: Interactive Effects Factors for Water Heating Measures Measure Type of Space Heating Interactive Effects Factors for Energy Savings Interactive Effects Factors for Peak Demand Savings Source Low-flow Showerheads Faucet Aerators...
AI summary Table 156 presents interactive effects factors for various water heating measures, including low-flow showerheads, thermostatic shower valves, and pipe insulation. The table highlights energy savings and peak demand savings factors for different heating types, such as heat pump heating and electrical heating, with sources indicated as assumptions or calculations.
Table 160: Electrical Unitary Energy Savings Values for Low-flow Showerheads Parameter Symbol SBES Source Proportion of Water Heating Supplied by Electric Resistance Heating %ElectricDHW 100% Electrical energy savings will only be claimed...
AI summary Table 160 presents electrical unitary energy savings values for low-flow showerheads, including parameters such as baseline and low-flow rates, energy efficiency, and calculations for annual energy savings. The table references various sources like the SBES tracking sheet, EPI Program Manual, and conventions for unit conversions.
Table 165: Average Hot Water Usage per Faucet Building Type DHW Consumption per Faucet (Gallons) Weight Source Small Office 2,500 12% Restaurant 15,768 6% Consumption: 2021 Illinois Statewide TRM Retail 3,650 3% Lodging 1,825 36% Weight: S...
AI summary Table 165 provides average hot water usage per faucet across different building types, including small office, restaurant, retail, lodging, and other categories, with weighted averages and sources. The data is used for installation rates.
Table 166: Thermostatic Shower Valve Measure Summary Parameter SBES Reference Measure Description and Id Measure Description and Identification Measure Description static showe not water co er valves to i N/A Additional Notes Flow r ate of...
AI summary Table 166 provides a summary of the Thermostatic Shower Valve Measure, including parameters such as installation rates, effective useful life, electrical savings, and peak demand-to-energy ratios. The table includes details for different flow rates and references to subsections for further information.
Table 167: Electrical Unitary Energy Savings Values for Thermostatic Shower Valves Parameter Symbol SBES Source Flow Rate [gpm] q Variable (1.5 gpm for low-flow showerhead, otherwise: 2.0 gpm, 2.25 gpm, or 2.5 gpm) SBES tracking sheet Annu...
AI summary Table 167 presents electrical unitary energy savings values for thermostatic shower valves, including parameters like flow rate, annual shower time, water temperature rise, and unit conversion factors. Calculations are based on conventions, research, and technical reference materials.
Table 168: Thermostatic Shower Valve Installation Rate Installation Rate Source 100% Assumption (4) Pipe Insulation
AI summary The text presents a table outlining the assumed 100% installation rate for thermostatic shower valves, followed by a section titled '(4) Pipe Insulation' which likely discusses related energy efficiency measures.
Table 169: Pipe Insulation Measure Summary Parameter SBES Reference Measure Description and Identification Measure Description Pipe insulation to reduce hot water consumption N/A Additional Notes - Installation Rate Installation Rate 100%...
AI summary Table 169 provides a summary of the pipe insulation measure, including its description, installation rate, effective useful life, and energy savings parameters. The table outlines details such as unitary energy savings, peak demand-to-energy ratio, and interactive effects factors for energy and peak demand savings.
Table 171: Hot Water Tank Wrap Measure Summary Parameter SBES Reference Measure Description and Identification Measure Description Hot water tank wrap to reduce hot water consumption N/A Additional Notes - General Parameters Installation R...
AI summary Table 171 provides a summary of the Hot Water Tank Wrap measure, including parameters such as installation rate, effective useful life, energy savings, and peak demand savings. The table references various subsections for detailed calculations and considerations.
Table 172: Electrical Unitary Savings Values for Hot Water Tank Wraps Parameter Symbol Value Source Layer 1: Interior Insulation of Tank External Radius of the Layer [m] re 0.300 Giant191 Internal Radius of the Layer [m] ri 0.249 Ibid Ther...
AI summary Table 172 presents electrical unitary savings values for hot water tank wraps, including parameters such as thermal resistance, heat transfer, and energy savings calculations. The table provides data on insulation layers, tank dimensions, and assumptions related to temperature and usage.
Table 174: Compressed Air Leak Repair Measure Summary Parameter Custom Reference Measure Description and Identification Measure Description Repair leaks in compressed air systems N/A Additional Notes - General Parameters Installation Rate...
AI summary Table 174 outlines the Compressed Air Leak Repair Measure, including parameters such as installation rate, effective useful life, and energy savings calculations. The table provides details on how energy savings are calculated based on performance data for each system and includes assumptions about interactive effects factors.
Table 176: Electrical Unitary Peak Demand Values for Compressed Air Leak Repairs Parameter Symbol Value Source Size of Leak [cfm] - Varies per project Reading on site Plant Efficiency [kW/100 cfm] - Varies per project (If unknown, use 19.7...
AI summary Table 176 outlines the parameters and values related to electrical unitary peak demand for compressed air leak repairs, including factors like leak size, plant efficiency, peak coincidence factor, and energy savings. These values are determined based on project-specific data and calculations.
Table 177: VFD Measure Summary Parameter BER-AR Reference Measure Description and Identification Measure Description Variable frequency drive for non-HVAC applications N/A Additional Notes - General Parameters Installation Rate 100% See de...
AI summary Table 177 provides a summary of Variable Frequency Drive (VFD) measures, including installation rates, useful life, and energy savings parameters. The table outlines details such as unitary energy savings, peak demand savings, and interactive effects factors for energy efficiency.
Table 178: Electrical Unitary Savings Values for VFD Pumps and Fans Parameter Symbol Value Source Rated horsepower of the motor [HP] HP Varies per project Project Documentation Motor Load Factor [%] LF Varies per project (If unknown, use 7...
AI summary Table 178 outlines the parameters and values used to calculate electrical unitary savings for VFD pumps and fans, including motor efficiency, load factor, operating hours, and energy savings factors. Values are derived from project documentation and conventional conversion factors.
Table 179: Part Load Ratio for Flow Rate Based on Control Types 197 Flow rate (percentage of design flow) Control Type 0% to 10% 10% to 20% 20% to 30% 30% to 40% 40% to 50% 50% to 60% 60% to 70% 70% to 80% 80% to 90% 90% to 100% Pump Basel...
AI summary Table 179 presents part load ratios for flow rates based on different control types for pumps and fans. It details baseline values and VFD values across various control methods, providing data for energy performance evaluations.
Table 180: Electrical Unitary Peak Demand Values for VFD for non-HVAC Applications Parameter Symbol Value Source Part load ratio for the average flow fraction during the weekday peak time period PLR Baseline,FFpeak Based on baseline contro...
AI summary Table 180 outlines electrical unitary peak demand values for VFD in non-HVAC applications, including parameters such as part load ratios, peak coincidence factors, and calculated energy savings. The table is sourced from project documentation and includes installation rates.
4 EFFECTIVE USEFUL LIFE This section outlines the EUL values used to calculate lifetime energy savings. This section also presents EUL values for demand reduction measures; these values are not used to calculate lifetime energy savings sin...
AI summary This section explains the Effective Useful Life (EUL) values used for calculating lifetime energy savings and demand reduction measures. It clarifies that EUL values for demand response measures represent the number of years the demand reduction is expected to persist and emphasizes their use in cost-effectiveness calculations.
4.1 LED Lamps and Fixtures To establish lifetime energy savings for LED lamps and fixtures, the equipment life is determined using rated lifetimes identified in product specification sheets and annual HOU, as described in the equation belo...
AI summary The document discusses the calculation of equipment life for LED lamps and fixtures using rated lifetimes and annual HOU, and introduces the concept of equivalent EUL to account for regulatory changes affecting baseline energy use over the product's lifetime. Equivalent EUL values are summarized in tables for residential and BNI LED lamps and fixtures.
Table 183: EUL Values for Residential LED Lamps and Fixtures Measure Program Component Average Rated Lifetime (hours) Annual HOU (hours/year) Equipment Life (years) 2023 Equivalent EUL (years) Parking Garage Luminaires BER-AR, SBES 100,000...
AI summary Table 183 provides Equivalent Useful Life (EUL) values for various residential LED lamps and fixtures, including details on their average rated lifetime, annual hours of use, and equipment life, under different program components such as BER-AR, SBES, and AMH.
Measure Name Program Component EUL Value Source Other New Homes NHC 30 (Tier 1 & 2) 36 (Tier 3) The EUL values were established by calculating the weighted average EUL of insulation, heating system, and lighting measures. The difference in...
AI summary The document provides EUL (Energy Use Life) values for various energy efficiency measures, including new homes, space heating, building envelope, and lighting controls. These values are calculated based on weighted averages and sourced from various studies and guidelines, such as the Green Design Standards and KEMA reports.
Measure Name Program Component EUL Value Source Freezers/Refrigerators BER-AR, SBES 12 DEER 2014 (Value for commercial reach-in refrigerator/freezers) DOE, 2011 Buildings Energy Data Book, Table 5.7.15 (Value for refrigerators) Fryers BER-...
AI summary The table outlines energy use life (EUL) values for various commercial kitchen and laundry equipment under the BER-AR and SBES program components, citing sources such as DEER 2014, KEMA 2009, and the Vermont TRM 2018. These values are used to assess energy efficiency and inform program design.
Verification of Climate Data Validity Considering that the 1992 ADS study remains the only well-documented study for cold climates, it is still used to establish interactive effects. To ensure that the findings of the ADS study are valid a...
AI summary The document compares Nova Scotia's climate data with Quebec's to validate the applicability of the 1992 ADS study for cold climates. It finds that the heating season in Trois-Rivières is shorter than in Halifax, while the cooling season is longer, but concludes that these differences are not significant enough to affect the study's findings for Nova Scotia.
Rationale for Using an Equivalent EUL The LED market is evolving rapidly, driven in part by government regulations. LED products installed today are likely to become the baseline before the end of their rated lifetime since LED technologie...
AI summary The document discusses the rationale for using an equivalent EUL (Energy Use Lifetime) for LED lighting products, noting that rapid technological advancements and falling prices mean current LED products may become the baseline before their rated lifetime ends. It highlights U.S. and Canadian regulatory developments, including the EISA backstop and upcoming changes to lighting standards, which are expected to shift the baseline for LED lamps in 2025.
Table 189: Equivalent EUL Calculation Summary for LED A19 Lamps Replaced Lamp (W) Typical Efficient Lamp (W) Baseline Incandescent Baseline 1 Year (2023) Displaced Halogen Incandescent Baseline – Legislation233,234 1 Baseline Canadian Year...
AI summary Table 189 provides a summary of Equivalent Energy Use Life (EUL) calculations for LED A19 lamps, comparing different types of lamps and their energy usage over time. The table outlines wattage for replaced lamps, typical efficient lamps, and baseline wattages for incandescent, halogen incandescent, and LED equivalents, with Equivalent EUL values in years.
LED Non-A-type Lamps For LED non-A-type lamps sold through Instant Savings, lifetime energy savings values were established for the different types of lamps replaced, which mostly included reflector (R, BR, GU, PAR, MR) and decorative lamp...
AI summary The text discusses the impact of the Energy Independence and Security Act (EISA) 2020 on LED non-A-type lamps, noting that starting in 2025, baseline wattage will increase to match LED technology, which will result in these lamps no longer generating energy savings after that year.
Table 191: Lifetime Energy Savings for LED Fixtures with Motion Sensors – Reduced Hours of Use Old Average Hours of Use (hours per day) New Average Hours of Use (hours per day) Lifetime Energy Savings (kWh) 4.72 2.92 22.2 10.0 146 The tota...
AI summary Table 191 presents the lifetime energy savings for LED fixtures with motion sensors, showing a reduction in average hours of use from 4.72 to 2.92 hours per day, resulting in 146 kWh of energy savings. The total lifetime savings of 487 kWh were used to calculate an equivalent EUL of 3.8 years.
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 document discusses the assumption of a 10-year measure life for solar fixtures based on EUL values for motion sensors. It also notes that baseline wattage is assumed to transition to LED lamps starting in 2025, with an equivalent EUL calculated using a specific equation and Table 192.
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](#page-152-0) 193 and the equation below. The equivalent EUL calc...
AI summary The document outlines the methodology for calculating the equivalent Energy Use Life (EUL) of LED general-use and decorative lamps. It uses a baseline mix of incandescent and halogen incandescent lamps and accounts for legislative changes in 2025, which will shift the baseline to LED lamps, resulting in no additional savings.
Table 194: Baseline Evolution During the Effective Useful Life of LED Reflector Lamps Typical Replaced Typical Efficient Lamp (W) Halogen Baseline 2 Years (2023-2024) LED Equivalent Baseline - American Legislation239 4.9 Years (2025-2029)...
AI summary Table 194 presents the baseline evolution of LED reflector lamps over their effective useful life, comparing typical replaced lamps with efficient alternatives, including wattage displaced and the equivalent energy use life (EUL). The table highlights data from 2023-2029 and references American legislation.
Since non-recessed LED downlight fixtures replace fixtures using A-type lamps, the methodology for establishing their equivalent EUL is similar to that of A-type lamps in EPI. The equivalent EUL calculation is based on the typical case of...
AI summary The text discusses the methodology for calculating the equivalent EUL of non-recessed LED downlight fixtures, noting that the baseline changes in 2025 due to regulation, leading to no additional savings after that year. The calculation involves a 9 W LED lamp and a rated life of 50,000 hours.
$$Equivalent \; EUL = \frac{\Delta W_{Halogen} \times 2 \; Years + \Delta W_{LED} \times 11.9 \; Years}{\Delta W_{Halogen}}$$ Table 196: Baseline Evolution During the Effective Useful Life of LED Reflector Lamps in Downlight Fixtures Typic...
AI summary The document presents a formula for calculating Equivalent Energy Use Life (EUL) and includes a table comparing the baseline evolution of halogen and LED reflector lamps over their effective useful life. It highlights energy efficiency differences between traditional halogen lamps and LED alternatives.