E-22023 DSM Programs Evaluation Reports
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18.2.2 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...
AI summary The document discusses peak demand savings for the Mikmaw Home Energy Efficiency Project (MHEEP), using a peak demand-to-energy ratio established by Navigant in the 2016-2018 DSM Plan. Heat pump measures are calculated separately starting in 2021. Table 60 summarizes tracked and evaluated unitary peak demand savings for various measures.
The differences between the tracked and corrected values are mainly explained by the following corrections made by the Evaluator. - › For the differences in gross energy savings: - › An adjustment to the 2022 estimated savings at the gross...
AI summary The Evaluator made several corrections to energy and demand savings calculations, including adjustments to 2022 estimated savings, corrections to hardcoded unitary energy savings values, and adjustments to peak demand savings for MSHPs based on updated formulas and data from the NEEP Cold Climate Heat Pump List.
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 demand peak period in Nova Scotia is between 5 p.m. and 7...
AI summary This section discusses peak demand savings in Nova Scotia, focusing on the calculation methods used for new homes with cold climate air-source heat pumps (CCHPs). It mentions the peak demand-to-energy ratio established by Navigant in the 2016-2018 DSM Plan and the specific equation used for CCHPs starting in 2020.
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.
2023 DSM EVALUATION March 14, 2024 In collaboration with:
AI summary The document outlines the 2023 DSM (Demand Side Management) Evaluation, highlighting collaboration with various entities. It includes images related to the evaluation process but lacks detailed content.
Table 1: Summary of Demand Response Program Evaluation Program Component Evaluation Type Methodology Process Market Impact Residential Demand Response Comprehensive › Tracking sheet audit › Water heater controller meter data analysis › Mea...
AI summary The document presents a summary of the Demand Response Program Evaluation, including methodology and performance metrics. It outlines evaluation components for residential and BNI Demand Response programs, and mentions participation levels and available capacity for each component.
4 Residential DR Key Findings and Recommendations As mentioned previously, the main objective of the 2023 Residential DR evaluation was as follows: › Calculate Residential DR results, namely new and total available DR capacity. This sectio...
AI summary The 2023 Residential Demand Response (DR) evaluation found that new and total available DR capacities exceeded targets, but the new baselining approach led to lower available DR capacity. Available DR capacity varied by time of day, with higher capacity in the morning. Connectivity issues were a major cause of non-response. The evaluated DR capacity was lower than that tracked by EOne due to adjustments from the new baselining method.
Table 12: 2023 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 Table 12 outlines the 2023 BNI DR Evaluation Approach, focusing on evaluating the accuracy and completeness of data related to demand response (DR) capacity results for the DR Aggregator pathway. The methodology includes a tracking sheet audit, meter data analysis, project reviews, and follow-up interviews.
Table 16: Evaluated 2023 BNI DR Available Demand Response Capacity Results Number of Participants 9 Available DR Capacity – at the Meter (MW) 2.231 Line Loss Factor 1.0598 Available DR Capacity – at the Generator (MW) 2.365 [Figure](#page-...
AI summary Table 16 presents the evaluated 2023 BNI DR available demand response capacity, including the number of participants, available capacity at the meter and generator, and the line loss factor. Figure 7 outlines the net evaluated and targeted available DR capacity.
Table 3: 2023 BNI DR Corrected Tracked Available DR Capacity Program Component Result Value Tracked by EOne Corrected Tracked Value Relative Difference Value Unit Value Unit Value New Available DR Capacity 2.254 MW 2.254 MW 0% Total Availa...
AI summary Table 3 presents the 2023 BNI DR Corrected Tracked Available DR Capacity, showing that both new and total available DR capacity are 2.254 MW with a 0% relative difference. Appendix V provides further details on available DR capacity per project and event.
This appendix summarizes all the recommendations made by the Evaluator as part of the 2023 evaluation of BNI DR. Section Recommendations Executive Summary 2023 BNI DR Recommendation 1: Use an additive same-day adjustment factor to establis...
AI summary This appendix outlines three key recommendations from the 2023 evaluation of the BNI DR program. These include using an additive same-day adjustment factor for baseline load, establishing enrolled capacity based on test events, and tailoring event participation based on participant potential.
Use and Application For the evaluations conducted during the 2020-2022 demand-side management (DSM) cycle and for the first year of the 2023-2025 DSM cycle, the Evaluator will refer to the values presented in the 2020- 2023 DSM MA. The MA...
AI summary The document discusses the evaluation methods used during the 2020-2022 and 2023-2025 demand-side management (DSM) cycles, referencing the 2020-2023 DSM MA. It outlines key elements such as interactive effects, peak demand-to-energy ratios, and effective useful life (EUL) values for EOne's program portfolio, differentiating between demand response (DR) and demand reduction measures.