E-22024 DSM Programs Evaluation Reports
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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.
Table 14: Evaluated Net Available DR Capacity, 2023-2024 DSM Program Program Component Available DR Capacity (MW) Available DR Capacity (%) 2023 2024 2023 2024 Demand Response (DR) Demand Response Residential Demand Response 0.058 0.057 2%...
AI summary Table 14 shows the evaluated net available demand response (DR) capacity for 2023 and 2024, with significant contributions from BNI Demand Response. In 2024, E1 achieved notable increases in net electrical energy and peak demand savings compared to 2023, driven by both residential and BNI programs.
3.2.2 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.m. and 7...
AI summary Peak demand savings in Nova Scotia occur during 5-7 p.m. on non-holiday weekdays from December to February. Table 7 shows 2024 unitary peak demand savings for retired appliances via ARet, with variations due to updated energy savings values in the 2024-2025 DSM MA. Refrigerators and freezers show 1% and -4% changes respectively, while small appliances remained stable.
DEFINITIONS Accuracy Reflects the proximity of measurements to the true value. Adjustment ratio The ratio of evaluated results to tracked results. This ratio expresses the adjustment made to tracked savings or other tracked values such as...
AI summary The document defines key terms related to demand response (DR) and available DR capacity, explaining how savings are measured through baseline comparisons and adjustment ratios. It outlines how available DR capacity is calculated based on participant performance during events called by Nova Scotia Power (NS Power) to reduce system peak demand.
4.2.3 Interactive Effects In a home, interactive effects occur when the implementation of energy efficiency measures has an impact on the energy consumption of other factors such as heating and cooling. The interactive effects of space hea...
AI summary Interactive effects in energy efficiency measures, such as heating and cooling, are addressed in savings calculations for comprehensive projects. The 2024-2025 DSM MA includes these effects for prescriptive projects. Evaluators assumed lamps operating 10+ hours daily coincided with peak hours, using a peak coincidence factor of 1, while others used annual operating hours divided by total yearly hours.
EUL Update The Evaluator conducted a review of all EUL values as part of the 2024-2025 DSM MA update in 2024 to determine whether there were more appropriate EUL estimates.
AI summary The Evaluator reviewed EUL values in the 2024-2025 DSM MA update to assess the appropriateness of current estimates, aiming to identify more accurate EUL estimates for program planning.
GHG Emission Reduction Calculations To obtain net avoided GHG emissions in CO2 eq for ASFH, the Evaluator multiplied net energy savings by the latest Nova Scotia-specific factor for GHG emissions generated by electricity production. This f...
AI summary The Evaluator calculates net avoided GHG emissions for Affordable Single-family Homes (ASFH) by multiplying energy savings with a Nova Scotia-specific factor derived from NS Power data. The 2024-2025 DSM MA serves as a reference for evaluating energy and peak demand savings parameters within E1's DSM program.
A unitary savings review was conducted for all measures, excluding measures that relied on a billing analysis, as part of the major update to the 2024-2025 Demand-side Measure Assessment (DSM MA).[46](#page-131-1) The unitary savings revie...
AI summary A unitary savings review was conducted for all demand-side management measures, excluding those relying on billing analysis, as part of the 2024-2025 Demand-side Measure Assessment update. The review involved analyzing technical references, metering studies, and program evaluations to improve methodologies for calculating energy and peak demand savings.
EUL Update For the 2024 evaluation, the Evaluator conducted a review of all EUL values as part of the 2024-2025 DSM MA update to determine if there were more appropriate EUL estimates.
AI summary The Evaluator reviewed EUL values for the 2024-2025 DSM MA update to assess the appropriateness of current estimates.
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 [19](#p...
AI summary The Evaluator calculated first-year and lifetime energy and peak demand savings using a methodology from Section 19. The 2024-2025 DSM MA serves as a reference document, providing parameters for calculating savings and effective useful life values for E1's DSM program measures.
19.2.1 Installation Rates Installation rates represent the proportion of measures recorded in the tracking sheet and that remains installed in participants' homes. Installation rates for all energy efficient heating systems under Green Hea...
AI summary Installation rates for Green Heat energy-efficient heating systems are estimated at 100% due to their high cost, with this assumption unchanged during the 2024-2025 DSM MA update. The rate reflects the proportion of measures installed in participants' homes.
19.2.3 Unitary Peak Demand Savings Peak demand savings correspond to the demand savings that coincide in time with the peak demand period of the electricity system. The projected electricity peak demand period in Nova Scotia is defined as...
AI summary The text explains how unitary peak demand savings are calculated for heating systems in Nova Scotia, noting that MSHPs showed no savings due to nil energy results, while wood/pellet stoves had adjusted savings based on billing analysis. Adjustments were made using energy savings ratios, referencing the 2024-2025 DSM MA and Econoler's 2014 report.
19.2.5 Effective Useful Life As part of the 2024-2025 DSM MA activities, the Evaluator reviewed the EUL values used in the calculations of electrical energy savings that are expected to persist over time. All EUL values used in previous ye...
AI summary The 2024-2025 DSM MA review confirmed that EUL values for electrical energy savings calculations remained unchanged from prior years. Equivalent EUL values are applied to gross and net first-year savings, resulting in differing weighted average EUL values (18.0 years for gross).
Unitary Savings Review A unitary savings review was conducted for all measures (excluding the savings estimates obtained from HOT2000 and for MSHPs whose savings relied on the billing analysis) as part of a major update to the 2024- 2025 D...
AI summary A unitary savings review was conducted for measures in the 2024-2025 DSM MA, excluding HOT2000 and MSHPs. The review involved analyzing technical manuals, metering studies, and program evaluations to refine methodologies for calculating energy savings, with the Evaluator assessing factors like study relevance, climate, and methodology quality.
Effective Useful Life Update As part of the 2024-2025 DSM MA update activities, the Evaluator also reviewed the effective useful life (EUL) values for all measure categories and recalculated the EUL values of lighting measures for which ba...
AI summary As part of the 2024-2025 DSM MA update, the Evaluator reviewed and recalculated effective useful life (EUL) values for lighting measures, considering anticipated baseline changes during their lifetimes.
5.2 Gross Savings For Instant Rebates, gross savings refer to changes in energy consumption resulting from actions taken by participants regardless of their reasons for participating.[10](#page-59-5) Since the identification of eligible me...
AI summary The text defines gross savings for Instant Rebates as energy consumption changes from participant actions, using assumptions for measure types. Calculations involve parameters like baseline wattages, ballast factors, and peak coincidence factors. The 2024-2025 DSM Measure Assessment details these methods, with equations and EUL values reviewed during the DSM MA update.
6.2.3 Effective Useful Life The Evaluator validated the EUL values based on the 2024–2025 DSM MA. There were no adjustments made to the EUL values of reviewed projects.
AI summary The Evaluator confirmed Effective Useful Life (EUL) values using the 2024–2025 DSM MA without adjustments. This validation ensures alignment with established standards for assessing long-term benefits of energy efficiency measures.
Strategic Energy Management 67 40 The 2024-2025 DSM MA is a reference document that provides an in-depth review of all parameters necessary to calculate the annual and lifetime gross energy and peak demand savings of most prescriptive meas...
AI summary The 2024-2025 DSM MA serves as a reference document for evaluating energy and peak demand savings from EfficiencyOne's DSM program portfolio. It includes effective useful life values for all measures offered and is referenced for evaluations during the 2023-2025 DSM cycle. A reference is made to a 2014 Cost of Service Study Progress Update by the Nova Scotia Utility and Review Board.
4.2.2 Installation Rates Installation rates are accounted for in the adjustment ratios for SBES Audit and DIY projects, as documented in the 2024-2025 DSM MA update. The CDI pilot adjustment ratios do not encompass installation rates. For...
AI summary Installation rates are included in adjustment ratios for SBES Audit and DIY projects per the 2024-2025 DSM MA update. However, CDI pilot adjustment ratios exclude installation rates, with an assumed 100% rate due to no evaluation activities in 2024.
4.2.3 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 in energy efficiency measures are addressed through the E1 CIRx Screening Tool and adjustment ratios in SBES and CDI pilot evaluations, ensuring accurate savings calculations. Factors are adjusted based on site observations and applied to DSM MA measures.
Metering Data Analysis To establish the available DR capacity generated from Mysa thermostats, the Evaluator analyzed the available participant whole-house consumption meter data and established a unitary available DR capacity value per pa...
AI summary The Evaluator used whole-house meter data to calculate DR capacity from Mysa thermostats, converting it to per-thermostat values and updating the 2024-2025 DSM MA. Other products like EVs and batteries were excluded due to insufficient data, while Sinopé thermostats were included based on similar control strategies. No DR capacity was claimed for EVs due to low participation.
3.2.1 In-service Rates For the Eco Shift Pilot pathway, not all devices participated in each event since participants continued to be registered throughout the season and participants could opt out of any event. Additionally, connectivity...
AI summary The in-service rate for the Eco Shift Pilot pathway includes all enrolled devices, even those that opted out or had connectivity issues, which affects the average available DR capacity. This approach is necessary due to the continuous registration of participants and the use of whole-house data analysis.
Metering Data Analysis Results Using the methodology presented above, the Evaluator established the DR capacity made available at each event hour of the 2023-2024 heating season. As mentioned in the introduction, available DR capacity is m...
AI summary The analysis of metering data from the 2023-2024 heating season indicates that some DR events resulted in negative DR capacity due to incorrect preheating implementation. This occurred during the events instead of before, leading to higher load than expected. The methodology used is based on heating degree days to represent heating load accurately.
5.2 Follow-up on Past Evaluation Report Recommendations The Evaluator evaluated BNI DR for the first time during the 2022-2023 pilot season and issued improvement recommendations. [Table](#page-14-1) 14 below provides a summary of the impl...
AI summary The Evaluator assessed the BNI DR program during the 2022-2023 pilot season and provided improvement recommendations. Table 14 outlines the implementation status of these recommendations from the 2023 report.
Table 14: Implementation Status of Past Recommendation for BNI DR # Recommendation Status Comments 2023 – BNI DR – R1 Use an additive same-day adjustment factor to establish the baseline load instead of a scalar same day adjustment factor....
AI summary Table 14 outlines the implementation status of past recommendations for the BNI DR program. Key actions include updating methodologies for baseline load calculations, establishing enrolled capacity based on test events, and identifying participants best suited for different event times. Some recommendations are complete, while others are in progress.
6 BNI DR Evaluation Approach The 2024 BNI DR evaluation comprised a comprehensive impact evaluation. The main objective of the 2024 BNI DR evaluation was as follows: › Calculate BNI DR results, namely new and total available DR capacities...
AI summary The 2024 BNI DR evaluation aimed to calculate new and total available DR capacities. The Evaluator identified key research questions and methods to achieve this objective, as outlined in Table 15.
Table 15: 2024 BNI DR Evaluation Approach Evaluation Objectives Research Questions Methodology Establish available DR capacity results for the DR Aggregator pathway › Are the data in the tracking sheet complete, accurate, and consistent? ›...
AI summary This document outlines the evaluation approach for the 2024 BNI Demand Response (DR) program, focusing on assessing the completeness, accuracy, and consistency of data in the tracking sheet, as well as the application of measurement and verification (M&V) methodologies.
Table 19: Evaluated 2024 BNI DR Available DR Capacity Metric Stratum 1 Projects Stratum 2 Projects Overall Enrolled DR Capacity (MW) 5.699 6.525 12.224 Evaluated DR Capacity (MW) 6.124 1.463 7.587 Percentage Achieved of Estimate 107% 22% 6...
AI summary Table 19 evaluates the 2024 BNI DR available DR capacity, showing enrolled and evaluated DR capacity across different strata. The data indicates that while Stratum 1 achieved 107% of its estimated capacity, Stratum 2 only achieved 22%, with an overall achievement of 62%. The table emphasizes the importance of accurate estimates for reliable DR capacity during peak events.
Table 1: 2024 BNI DR Corrected Tracked Available DR Capacity Program Component Result Value Tracked by E1 Corrected Tracked Value Relative Difference Value Unit Value Unit Value New Available DR Capacity 5.553 MW 5.702 MW 3% Total Availabl...
AI summary Table 1 presents the 2024 BNI DR corrected tracked available DR capacity with values before and after correction, showing a 3% increase in new available capacity and a 2% increase in total available capacity. Appendix VII provides an example calculation for available DR capacity.
better suited to morning or to evening events, and for each event, E1 can decide to only call participants that are better suited to that time, or to call all participants to take part in that event. To illustrate how available DR capacity...
AI summary The text discusses the calculation of available DR capacity by segmenting events into morning and evening peak times, with E1 able to target specific participant groups. An example is provided using five participants and five events to illustrate the method, though the numbers are for illustrative purposes only.
Use and Application For the evaluations conducted during the last two years of the 2023-2025 demand-side management (DSM) cycle, the Evaluator will refer to the values presented in the 2024-2025 DSM MA. The MA includes the following elemen...
AI summary The evaluation of the 2023-2025 DSM cycle references the 2024-2025 DSM MA, which includes interactive effects, peak demand ratios, installation rates, unitary savings, and EUL values. DR measures are distinguished from demand reduction measures by their event-dependent savings generation.
1 Residential Measure Assessment Scope [Table](#page-85-2) 2 below lists the residential measures and associated programs included in the 2024-2025 DSM MA. The MA includes all necessary parameters and calculations to obtain gross energy an...
AI summary The document outlines the residential measure assessment scope for the 2024-2025 Demand-side Management Measure Assessment (DSM MA), including parameters for calculating energy and peak demand savings for prescriptive, semi-prescriptive, and custom measures. Prescriptive measures use fixed assumptions, while custom measures use unit-specific inputs.
Unitary Peak Demand Savings Unitary peak demand savings are calculated by multiplying the unitary savings value by the peak demandto-energy ratio. 21 The snapback effect is an increase in usage following the installation of an efficient pr...
AI summary Unitary peak demand savings are calculated by multiplying the unitary savings value by the peak demand-to-energy ratio. The text also mentions the snapback effect, which refers to increased usage after installing efficient products due to lower operating costs. Two studies on residential lighting hours-of-use are cited.
The unitary savings value for indoor motion sensors is based on the general lighting equation adapted as follows to consider the effects of motion sensing and dimming on energy consumption. The annual energy savings corresponds to the diff...
AI summary The document outlines a method for calculating energy savings from indoor motion sensors and dimmer switches, using a modified lighting equation that accounts for motion sensing and dimming effects. It also references studies and reports related to residential lighting hours-of-use and energy efficiency measures.
Table 22 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 formula involving old and new wattages, hours of operation (HOU), and references a technical manual from Pennsylvania. It also mentions a 2024-2025 DSM Measure Assessment Final Report.
Table 373: Instant Rebates Distributor Influence Level Algorithm Current Algorithm Adjusted Algorithm Cros s-Influence
AI summary The document presents Table 373, which outlines the 'Instant Rebates Distributor Influence Level Algorithm' comparing the current and adjusted algorithms, with a focus on Cross-Influence (CI). The table appears to be in an early or incomplete stage of development.