E-22024 DSM Programs Evaluation Reports
70 passages
Jurisdictional Scan The Evaluator conducted a jurisdictional scan across other jurisdictions throughout Canada and the United States (US) to identify other measures that could be installed by electricians under Efficient Product Installati...
AI summary The Evaluator conducted a jurisdictional scan to identify measures installable by electricians under Efficient Product Installation (EPI) and examined characteristics of new construction programs across North America, focusing on applicable practices and standards.
Table 6: Comparison of 2024 Evaluated and Tracked Peak Demand Savings at the Generator a Program Component Tracked Results Evaluated Results Difference DSM Program Annual Gross Savings (MW) Annual Net Savings (MW) Available Capacity (MW) A...
AI summary Table 6 compares the evaluated and tracked peak demand savings at the generator for various programs in 2024. It shows results for residential, BNI, and demand response programs, highlighting differences in net savings and available capacity, along with net realization rates for each component.
Custom - › Compared to 2023, Custom participation decreased in 2024. While Retrofit and Building Optimization participation levels decreased, New Construction participation significantly increased in 2024. - › Following the project reviews...
AI summary Custom program participation decreased in 2024, with Retrofit and Building Optimization participation declining while New Construction increased. The Evaluator adjusted energy and peak demand savings estimates, noting reduced free-ridership (15% for Retrofit, 28% for New Construction) and no spillover. Evaluated savings were 8% and 5% higher than E1's tracked figures.
Custom New Construction To explore opportunities to expand service presence outside of the electrically heated MURB market, the Evaluator analyzed the tracking sheet, performed secondary research, conducted interviews with participants, mo...
AI summary The Custom New Construction service evaluation found higher success in MURBs than non-MURBs, with 24 of 27 2024 projects being MURBs. HRM dominance is expected due to population density and streamlined permitting. Adjusting building size eligibility criteria could expand reach outside HRM, aligning with NECB 2020 Part 9 standards.
Table 15: 2024 Recommendations on Residential Program Components No. Recommendation Custom New Construction – R2 Amend section 7.10 of the New Construction program guide to require M&V for large industrial New Construction projects. Custom...
AI summary The table outlines seven recommendations for improving residential program components, focusing on energy modelling, outreach, education, and alignment with new building codes. Key areas include increasing modelling incentives, recruiting energy modellers, collaborating with educational institutions, and aligning with the National Energy Code of Canada for Buildings 2020.
3.3.5 Participant Questions and Concerns Participants' questions to EAs during the initial energy audit visit vary based on their level of understanding of AMH, their knowledge of their building's construction, and/or their interest in the...
AI summary Participants ask Energy Auditors about AMH rebates, next steps, and building operations, with heating systems and insulation being the most common topics. Questions include backup heating, insulation costs, and electrical system compatibility.
4.2 Gross Savings Gross savings correspond to the change in energy consumption resulting from various electrical energy saving upgrades such as building envelope measures, space heating measures, and domestic hot water (DHW) measures imple...
AI summary Gross savings reflect energy consumption reductions from electrical upgrades by AMH participants, including building envelope, heating, and DHW measures. Methodology for evaluating 2024 AMH gross savings includes assessing interactive effects and EUL values.
n EPI or outside the category of electrician-installed measures (e.g. appliances). Globally, the scan revealed only a few measures to be considered for the EPI electrician-installed offer as follows: - › Advanced heat recovery ventilator (...
AI summary The jurisdictional scan identifies specific energy efficiency measures for EPI, including advanced HRV controls, efficient bathroom fans, block heater timers, and heat reflector panels. These measures offer energy savings through reduced runtime, improved efficiency, or heat retention, with varying applicability and installation requirements.
23.2.5 Interactive Effects In a home, 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. Since the vast majority of HEA mea...
AI summary The text explains that interactive effects in energy efficiency measures, such as those in HEA, are already accounted for through simulations. Wood burning equipment and solar PV systems are specifically noted as not requiring additional considerations for interactive effects.
27.2.3 Interactive Effects In a home, 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. The interactive effects of the spa...
AI summary Interactive effects in energy efficiency measures, such as those modeled in HOT2000, are considered in savings calculations. However, for the 2024 evaluation, certain measures like programmable thermostats and drain water heat recovery systems, as per the 2024-2025 Measure Assessment, do not impact other elements' energy consumption.
- D5. What is your annual budget for building maintenance and efficiency upgrades? [READ. SELECT ONE] - 1. Specify $______________ - 98. (Do not know) - 99. (Refusal) - D6. What payback period do you consider reasonable when implementing e...
AI summary The text presents a series of questions related to building maintenance, energy efficiency upgrades, and utility cost responsibilities, focusing on budgeting, payback periods, and tenant involvement in utility costs.
New Construction Key Findings and Recommendations 2024 New Construction-Finding: The demand savings calculation approach used by E1 for projects modelled in eQuest can generate results that are difficult to confirm. 2024 New Construction R...
AI summary The 2024 findings highlight issues with E1's demand savings calculation methodology in eQuest models, the need for M&V in large industrial projects, increased MURB participation in HRM, participant satisfaction, non-participant awareness, and decarbonization as a motivator. Recommendations include revising demand savings scripts and updating program eligibility criteria.
New Construction - Technical and financial support to achieve electrical energy savings in new buildings and for major renovations in existing buildings, excluding savings from lighting systems. - •Participation begins at the preliminary d...
AI summary The program provides technical and financial support for energy efficiency in new buildings and major renovations, requiring facilities of at least 15,000 sq ft to achieve 25% energy consumption reductions and 100,000 kWh electricity savings. Participation begins at the preliminary design stage.
Building Optimization (BOpt) - Technical and financial support to help organizations conduct an investigation study with the objective of improving building operational efficiency. - Technical and financial support for the implementation o...
AI summary Building Optimization (BOpt) provides technical and financial support for investigations and low-cost energy efficiency measures in eligible facilities. Eligibility requires facilities to have a building automation system, annual consumption of 350,000 kWh or more, and not have been commissioned in the past two years.
4 New Construction Process Evaluation Results from the New Construction process evaluation are presented below. Subsection [4.1](#page-195-1) provides an overview of the evolution of service participation during 2019–2024. Subsections [4.2...
AI summary The New Construction Process Evaluation (2019–2024) assesses participation trends, awareness, motivations, barriers, and satisfaction. It examines market factors like building code updates and decarbonization, includes a jurisdictional scan of programs, and reviews the logic model for the initiative.
4.1.1 Subsector Participation As shown in [Figure](#page-195-3) 6, [14](#page-195-4) MURBs have made up most of the New Construction projects since 2022. MURB and non-MURB participation was about equal during 2020 and 2021, then non-MURB p...
AI summary The text discusses trends in subsector participation for New Construction projects, noting that Multi-Unit Residential Buildings (MURBs) became the majority since 2022. While overall participation slightly declined, MURB projects remained dominant, with significant growth in 2024. Non-MURB participation decreased during this period.
mated by multiplying the building footprint area by the number of stories. Figure 7: Participation Inside and Outside the HRM, 2019–2024 The HRM contains 50% of Nova Scotia's population so, given the population density, a higher proportion...
AI summary The evaluation of regional participation in the program from 2019–2024 shows higher participation rates in the HRM (5%) compared to outside (<1.0%) due to population density, permitting processes, and building size. Limited data outside HRM and eligibility criteria affect outreach opportunities.
4.3 Barriers to High-Efficiency Buildings and Program Participation Participating builders, non-participant modellers, and new energy modellers were asked about concerns and barriers related to building high-efficiency buildings. When aske...
AI summary Financial barriers, including measure costs and low incentives, are primary concerns for builders and modellers in adopting high-efficiency buildings. Builders also cite lack of local expertise and limited understanding of energy efficiency value. Modellers note that cost and time constraints discourage energy modelling, while builders may not prioritize exceeding code requirements due to perceived low returns.
4.6.1 Adoption of NECB 2020 Program participants and non-participating and new energy modellers were asked about the impact of the adoption of the National Energy Code of Canada for Buildings (NECB) 2020 in April 2025 on program participat...
AI summary The adoption of NECB 2020 in 2025 is expected to influence program participation, with mixed reactions from builders and energy modellers. Some see increased participation due to compliance costs, while others anticipate challenges with timelines and regulatory burdens, though cost-effective measures like heat pumps may mitigate impacts.
4.6.2 Decarbonization and Electrification Program participants and non-participating and new energy modellers were also asked about the importance of reducing GHG emissions and the electrification in building design. Six of the eight parti...
AI summary Participants emphasized the importance of GHG emission reduction and electrification in building design, citing financial incentives from E1. Builders expressed concerns about upfront costs, grid reliability, and regulatory complexity. Electrification challenges include long lead times for specific equipment and grid reliability risks for critical facilities.
NECB 2015. A direct comparison to other jurisdictions is difficult because of the differences in baseline code (Efficiency Manitoba) or in the unit of comparison (BC Hydro has a GHG savings minimum). E1 requires buildings to be larger than...
AI summary The text compares E1's building size requirements and incentive structures with other jurisdictions like BC Hydro, Hydro Québec, and Massachusetts. It highlights differences in size thresholds, maximum modelling incentives, and implementation incentive caps, noting E1's alignment with some regions but disparities in others.
also a key barrier to highefficiency building design. Participating builders worry most about the financial aspects of building highefficiency buildings and how the costs compare to incentive levels. Lack of builder awareness: Lack of buil...
AI summary Key barriers to high-efficiency building design include financial concerns, lack of builder awareness about long-term savings and technology performance, insufficient energy modeller capacity, and high energy modelling costs. E1 highlights challenges in meeting eligibility requirements and limited technical support for builders.
rs 1, 2, and 3. Such incentives would need to evolve as the new code is phased in: Tier 1 will soon be adopted in Nova Scotia in April 2025, followed by Tier 2 in April 2027, and Tier 3 in April 2029. Limited awareness among developers is...
AI summary The text discusses barriers to aligning program logic with the National Energy Code of Canada for Buildings 2020 (NECB 2020) tiers, including limited developer awareness of long-term cost savings and performance concerns with energy-efficient technologies in cold climates. The service aims to address these barriers through education, training, and evidence-based outreach to builders.
2024 Custom NC Process Highlights - › There is a relatively high level of participant satisfaction with Custom New Construction overall. - › The service has been more successful in reaching MURBs than non-MURBs inside the HRM. - › There ar...
AI summary The 2024 Custom NC Process shows high participant satisfaction but faces challenges in reaching non-MURBs due to eligibility rules and municipal codes. Builders cite financial risks and upfront costs as major barriers to decarbonization, with concerns about NECB 2020 compliance timelines. Key barriers include high modelling costs, limited modeller participation, and low developer awareness, though the service addresses some issues outside its logic model.
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 for each participating building are calculated using energy mod...
AI summary The Evaluator calculates gross savings for new construction using energy models comparing baseline (NECB Part 8, E1 guidelines) and proposed designs with efficiency measures. Savings are derived from differences in modelled electricity consumption between these cases.
6.2.2 Interactive Effects Since interactive effects vary significantly from one Building Optimization project to another, they are either accounted for in the project engineering calculations used to establish gross savings or included whe...
AI summary Interactive effects in Building Optimization projects are addressed through engineering calculations or whole-building data. For six reviewed projects, no interactive effects were identified, so gross savings remained unadjusted.
6.2.4 Evaluated Gross Savings [Table](#page-18-0) 24 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 The section discusses the evaluation of gross savings for Building Optimization projects, including adjustments for energy and peak demand savings based on project reviews. Line loss factors from the 2014 Cost of Service Study Progress Update were used to calculate savings at the generator level for each project.
Table 24: Evaluated 2024 Building Optimization Gross Energy and Peak Demand Savings Partial Savings Claimed Final Savings Claimed for Single Year Projects Total Number of Projects 2 2 4 Energy Savings Tracked Gross Energy Savings – at the...
AI summary Table 24 presents the evaluated 2024 Building Optimization Gross Energy and Peak Demand Savings, including metrics such as tracked energy savings, adjustment ratios, line loss factors, and lifetime energy savings. The table provides a breakdown of energy and peak demand savings at both the meter and generator levels.
6.3.1 Net-to-gross Ratio Calculation The NTGR was calculated using the following equation: NTGR = (1 – % Free-ridership + % Participant Spillover) [Table](#page-19-1) 26 outlines the free-ridership and spillover levels established for Buil...
AI summary The Net-to-Gross Ratio (NTGR) is calculated using the formula NTGR = (1 – % Free-ridership + % Participant Spillover). Table 26 provides the free-ridership and spillover levels for Building Optimization, along with the resulting NTGR value.
Table 28: Comparison of 2024 Building Optimization Tracked and Evaluated Savings at the Generator Gross Savings NTGR Net Savings Realization Rate Value Unit Value Value Unit Value Energy Savings Tracked Savings by E1 1.954 GWh 0.91 1.778 G...
AI summary Table 28 compares the tracked and evaluated energy savings from the 2024 Building Optimization program. It shows gross and net savings in gigawatt-hours and megawatts, along with realization rates, indicating the effectiveness of the program's energy-saving measures.
d lower satisfaction on elements related to the value of the program given the time and costs requirements for builders, and the ability to estimate a return on investment associated with the program. 2024 New Construction-Finding: Non-par...
AI summary The 2024 New Construction findings highlight barriers to program participation, including financial costs, builder awareness gaps, and insufficient modeller engagement. Decarbonization motivates participation, but financial factors remain the primary obstacle. Non-participant modellers show limited service awareness despite eligibility.
APPENDIX V Retrofit and Building Optimization Project Review Protocols
AI summary Appendix V outlines protocols for reviewing retrofit and building optimization projects, likely part of Nova Scotia's regulatory framework for energy efficiency and building standards. It focuses on evaluation criteria and processes for such initiatives.
Project Background The participant operates four lobster holding tanks that are fed with seawater, one of which was previously unrefrigerated (Tank #1), while the other three (Tanks #2, #3, and #4) each had a refrigeration unit and a heat...
AI summary The retrofit project involved replacing R22 refrigerant with R449A in lobster holding tanks and adding refrigeration units to Tanks #2 and #4. Performance data for both efficient (R449A) and baseline (R404 proxy for R22) refrigeration systems were provided by the participant.
Introduction – Online Survey Narrative Research and Econoler are currently conducting a formal evaluation of the Efficiency Nova Scotia Custom New Construction program. Your organization recently entered into an agreement in [CPA ACCEPTED...
AI summary Narrative Research and Econoler are evaluating Efficiency Nova Scotia's Custom New Construction program. The survey seeks to understand participants' decisions in building energy-efficient 'better-than-code' buildings, including material and equipment choices exceeding code requirements.
A. Identifying Key Decision-makers - A1. [SINGLE RESPONSE] Did you play a key role in your organization's decision to build an energy efficient, or better-than-code, building. - 1. Yes - 2. No - 98. I am unsure - A2. [IF [A1=](#page-71-0)Y...
AI summary This section includes survey questions aimed at identifying key decision-makers involved in building energy-efficient or better-than-code buildings. Respondents are asked about their role in the decision-making process, whether others in their organization were involved, and to provide contact information for key individuals.
[IF [A1=](#page-71-0)YES OR A3=NO OR A4=NO: GO TO SECTION B] - A5. [IF [A1=](#page-71-0) NO OR DK; OPTIONAL RESPONSE FOR CONTACT INFO] Can you provide the names, roles and contact information of one or two people who played a key role in y...
AI summary The text presents a conditional question (A5) requesting contact information for individuals involved in an organization's decision to construct buildings exceeding code standards. Respondents may choose to provide details or decline.
y model. Without this incentive, what is the likelihood that you would have hired an energy modeling consultant for your project? INSERT 0-10 SCALE WITH END POINTS: 0=VERY UNLIKELY AND 10=VERY LIKELY - 98. Don't know - 99. I prefer not to...
AI summary The text presents survey questions assessing the impact of incentives on building design decisions and the role of energy modeling consultants in evaluating efficiency measures. It explores how financial incentives influence the choice of building envelope and HVAC equipment options.
Introduction I am with _____ and we are performing an evaluation of the Custom New Construction program service offered by Efficiency Nova Scotia. This interview should take about 15-20 minutes. Is this still a good time for you? Through t...
AI summary The introduction outlines an interview evaluating Efficiency Nova Scotia's Custom New Construction program, aiming to understand decision-making processes for energy-efficient buildings exceeding code requirements. Responses will be confidential and aggregated, with no impact on incentive amounts.
A. Identifying Key Decision-makers - A1. We hope to interview the person who played a key role in the decision to build a better-than-code building. Were you a key decision-maker? - 1. Yes - 2. No - 98. Don't know - 99. Refused - A2. [IF A...
AI summary This section outlines a survey methodology to identify key decision-makers involved in constructing buildings exceeding code standards. It asks respondents about their role in the decision-making process and requests contact information for other stakeholders if applicable.
[IF B5 ≠ 98 OR 99] Did the energy modeling consultant help you assess different options available for building envelope and HVAC equipment? - 1. Yes - 2. No - 98. Don't know - 99. Refused
AI summary The text presents a survey question assessing whether an energy modeling consultant assisted in evaluating building envelope and HVAC equipment options, with response options including 'Yes,' 'No,' 'Don't know,' or 'Refused.'
D. Barriers and Motivations - D1. What were your primary concerns when you were considering building a high-efficiency building? [DO NOT READ. MULTIPE RESPONSE] - 1. (Cost of energy efficient technologies) - 1. (Cost of energy modeling) -...
AI summary The section explores barriers to high-efficiency building practices, including concerns about technology costs, profitability, construction speed, expertise gaps, and performance risks. It also inquires about uninstalled efficiency technologies and their specifics, aiming to identify motivations and obstacles in energy-efficient construction.
B. Barriers to Participation and Motivations - B1. In your experience, why are some builders NOT completing an energy model for their building? [DO NOT READ. MULTIPE RESPONSE] - 1. (Cost energy efficiency upgrades are too expensive) - 2. (...
AI summary The text explores barriers preventing builders from completing energy models, including cost concerns, lack of expertise, and insufficient awareness, alongside motivations such as cost reduction, compliance, and financial incentives. It highlights conflicting priorities between minimum code requirements and energy efficiency goals.
C. GHG Emissions & Electrification - C1. Have you had discussions with your builder clients about reducing GHG emissions or about electrification? - 1. Yes, reducing GHG emissions - 2. Yes, electrification - 3. No - 98. Don't know - 99. Re...
AI summary The section includes survey questions targeting builders and industry professionals about discussions with clients on reducing GHG emissions and electrification. It explores clients' concerns and how these issues influence their decisions regarding building energy performance, including fuel choice between electric and gas heating.
B. Motivation and Barriers - B1. In your experience, what prevents customers from building high-efficiency buildings in the absence of support from E1? - B2. How do you describe the value or benefits of the Custom New Construction Program...
AI summary The section explores barriers to high-efficiency building adoption without E1 support, program benefits, participant motivations, and regional variations in participation barriers. Questions focus on customer perspectives regarding incentives, program value, and challenges in different building types and regions.
C. Program logic model C1. [PROGRAM MANAGER ONLY] Can you walk through the program logic model, starting with what you see as the main market barriers to efficient new buildings and how the program addresses those barriers?.
AI summary The Program Manager is asked to explain the program logic model, focusing on market barriers to efficient new buildings and the program's strategies to address these barriers. The response is not provided in the text.
E. Market and program evolution - E1. How has the new construction market evolved in Nova Scotia the last few years, both inside and outside of the Halifax Municipal Region? - E2. In your opinion, is the program under-represented in areas...
AI summary The text explores Nova Scotia's new construction market evolution, regional participation disparities (Halifax vs. non-Halifax), underrepresentation in non-MURBs, and customer concerns about decarbonization, electrification, and NECB2020. It seeks insights into program adaptation, barriers to participation, and alignment with building efficiency standards.
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 emphasizes verifying energy savings percentages against efficiency measures and checking energy intensity metrics (GJ/m2) with benchmarking data. It highlights the need to account for building-specific factors like underground parking to explain discrepancies in energy usage comparisons.
2 Envelope Review - Check envelope resistance value (wall/fenestration/roof/etc.) and validate with shop drawings and construction details. Make sure that effective R/RSI – U/USI values are used in the simulation. - Pay particular attentio...
AI summary The Envelope Review outlines procedures to verify building envelope performance, including checking insulation values against construction details, addressing curtain wall inefficiencies, validating fenestration-to-wall ratios, and ensuring compliance with code specifications in simulations.
3 Parametrization and Zoning - For buildings with a repetitive storey pattern, if the "Copy" function is used, the modeller often forgets to check the "Over conditioned space" option, which may create an "exterior floor". - Verify the zoni...
AI summary The text highlights a common modeling error when using the 'Copy' function in repetitive storey patterns, potentially creating an 'exterior floor' if the 'Over conditioned space' option is not checked. It also emphasizes the importance of verifying zoning appropriateness in building parametrization processes.
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 section outlines validation procedures for building loads and schedules, including NECB-compliant occupancy and plug-load checks, spot-checking lighting power against plans, DHW load validation using EfficiencyOne guidelines, and ensuring schedule typicality for building models.
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 outlines guidelines for accurately modeling HVAC systems in multi-unit residential buildings (MURBs), emphasizing validation against specifications, software bug checks, airflow verification, and alignment with code requirements. It references the E1 White Paper for baseline HVAC system modeling in MURBs.
This appendix summarizes all the recommendations made by the Evaluator as part of the Custom evaluation. Section Recommendations Executive Summary 2024 New Construction Recommendation #1: Review the demand savings script used for projects...
AI summary The appendix outlines recommendations for improving energy efficiency programs in Nova Scotia, including enhancing modelling accuracy, increasing M&V requirements, recruiting energy modellers, aligning with NECB 2020, and updating program guidelines to address barriers and improve participation.
7.2.2 Interactive Effects In a building, 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. For the Aggregator pathway, int...
AI summary Interactive effects in buildings occur when energy efficiency measures influence heating and cooling systems. For the Aggregator pathway, these effects are factored into demand response (DR) capacity calculations because meter data reflects whole-building consumption.
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 details methodology for calculating interactive effects of hot water insulation measures (pipe insulation and tank wraps), considering heating/cooling seasons, system efficiency, and heat distribution in conditioned spaces. It highlights differences between single-family homes and apartments due to installation likelihood in conditioned areas.
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 measures in apartments are installed in conditioned spaces, using an 8-month heating period and 2-month cooling period. COP values of 3.5 (heat pumps) and 2.9 (air conditioning) were applied to adjust for interactive effects, aligning with Subsection 2.1.1 assumptions.
$$DHW \ Reduction \ \left[\frac{gal}{year}\right] = q \ \left[\frac{gal}{min}\right] \times n_{people}[person] \times \%_{DHW} \times \ t_w \left[\frac{min}{shower}\right] \times n_{shower} \left[\frac{shower}{day \cdot person}\right] \tim...
AI summary The formula calculates annual domestic hot water (DHW) reduction based on flow rate, number of people, DHW percentage, shower duration, frequency, and showerhead count. It emphasizes variables influencing water usage and efficiency in residential settings.
(5) Wood and Pellet Boilers and Furnaces
AI summary Section 5 of the document addresses the regulatory considerations for wood and pellet boilers and furnaces, including their role in energy efficiency programs, potential incentives, and compliance with regulatory standards. It outlines implications for program design, cost recovery, and environmental impact assessments.
(11) Humidity Sensors for Bathroom Exhaust Fans
AI summary The document section titled 'Humidity Sensors for Bathroom Exhaust Fans' likely addresses regulatory considerations or program requirements related to the integration of humidity sensors in bathroom exhaust fans, possibly within energy efficiency or building standards frameworks.
Table 137: Included Commercial Measures Program Components Ovens BER-AR, SBES Kitchen Exhaust Demand Controlled Ventilation (DCV) BER-AR, SBES Commercial IT and Datacentres Server Virtualization and Decommissioning BER-AR, SBES Server-base...
AI summary Table 137 outlines included commercial measures under various program components, such as BER-AR and SBES, focusing on energy efficiency initiatives in commercial settings like ovens, datacentres, and laundry equipment.
5.1.1 Interactive Effects The interactive effects methodology for commercial lighting was reviewed as part of the 2024 DSM Measure Assessment update. The updated interactive effect factors and methodology are presented in [Appendix IV.](#p...
AI summary The interactive effects methodology for commercial lighting was reviewed in the 2024 DSM Measure Assessment update. Updated factors will be applied in 2025, aligning with BER-AR adjustment ratios. The 2024 factors remain unchanged from 2023 and are based on building type and heating/cooling systems.
Table 147: Linear LED Fixture Baseline Wattages for BER-IR Subcategory Lumens Output (lm) Baseline Wattage (W) 1 x 4 Luminaires 1,500 – 3,500 61.0 ≥ 3,500 83.3 2 x 2 Luminaires & Retrofit Kits 1,500 – 4,500 61.0 ≥ 4,500 84.0 2 x 4 Luminair...
AI summary Table 147 outlines baseline wattages for linear LED fixtures under the Building Energy Retrofit - Instant Rebate (BER-IR) program. It categorizes luminaires by subcategory, lumens output, and corresponding baseline wattage, providing data for energy efficiency assessments and rebate calculations.
(7) HVAC Hotel Occupancy Sensors
AI summary This section outlines regulatory considerations for HVAC hotel occupancy sensors, though no detailed content is provided in the chunk. Key themes likely involve energy efficiency and demand-side management in commercial building systems.
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 engineering calculations for hot water insulation measures (pipe insulation and tank wraps), including assumptions about heating/cooling season durations, system efficiency, and heat distribution. It notes that SBES assumes similar water heating conditions to single-family homes and adjusts interactive effects factors for heat pump systems using COP values from Federal Energy Efficiency Regulations.
(2) Energy Efficient Ventilation and Circulation Fans
AI summary The section addresses energy-efficient ventilation and circulation fans, likely discussing their role in energy efficiency programs, regulatory considerations, and potential impacts on building performance and energy consumption.
(3) Dual and Natural Ventilation
AI summary The section discusses dual and natural ventilation systems, focusing on their role in building efficiency and energy management. It likely addresses regulatory considerations for ventilation standards, compliance, and integration with energy efficiency programs.
The EUL values for non-LED lighting measures were established by conducting a literature review of technical reference manuals (TRMs) and studies from other similar jurisdictions. [Table](#page-177-0) 346 summarizes the EUL values and thei...
AI summary The EUL values for non-LED lighting measures were determined through a literature review of technical reference manuals and studies from similar jurisdictions. Table 346 summarizes these EUL values and their sources for BNI measures.
Calculation of Building and System-Specific Intermediate Values This first subsection details how the BuildingHeatE , BuildingCoolE, and BuildingHeatPD variables are calculated.
AI summary This section outlines the methodology for calculating BuildingHeatE , BuildingCoolE , and BuildingHeatPD variables, which are critical for assessing building-specific energy performance and cooling demand in regulatory analyses.
Lighting Operation Schedule Each building archetype (as tracked in the BER-AR and SBES tracking sheets) is assigned a typical lighting operation schedule as per [Table](#page-198-0) 360.
AI summary The document outlines that each building archetype, as tracked in the BER-AR and SBES tracking sheets, is assigned a typical lighting operation schedule according to Table 360 on page 198-0.
Operation of Building Heating and Cooling Systems To identify hours during which heating and cooling systems are on, outdoor temperatures as well as the building balance temperatures are considered.
AI summary The operation of building heating and cooling systems is determined by analyzing outdoor temperatures and building balance temperatures to identify periods when these systems are active. This approach helps in assessing system performance and energy usage patterns.
Heating and Cooling Season Temperatures below 13°C might occur during parts of the year when heating systems are not active, in which case efficient lighting would have no impact on the heating load. The same concept is true of temperature...
AI summary The Evaluator defined heating and cooling seasons (October 1–April 30 and the remainder of the year, respectively) to determine when efficient lighting impacts heating/cooling loads, based on temperature thresholds (below 13°C and above 15°C). This delineation excludes periods with minimal degree-days from affecting heating/cooling demands.