N-12024 Load Forecast Report + Appendices - Redacted
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Vehicle Avg Avg kW/vehicle Avg kWh/year Type km/year 20 19F on Peak LDV 17,427 3,485 0.9 MDV 22,779 8,205 1.6 HDV 62,888 113,890 7.3 3 4 The peak impact assumes that 70 percent of charging is managed (including direct control 5 through EV...
AI summary The text discusses the average energy consumption and peak demand contributions of different vehicle types, including LDV, MDV, and HDV, based on managed and unmanaged EV charging scenarios. It highlights the impact of managed charging, using technologies like DERMS, on reducing peak demand and electricity costs.
SGNS) Project. A final report was submitted to the 6 UARB in March 2024. 21 Through the project, 100 EV smart chargers were deployed under 20F 7 a ChargePoint pilot program where data collection and control of Electric Vehicle Supply 8 Equ...
AI summary The Smart Grid Nova Scotia (SGNS) Project deployed 100 EV smart chargers under a ChargePoint pilot and established an EV telemetry pilot with ev.energy, enabling the utility to influence charging times through curtailment events. A final report was submitted to the UARB in March 2024, and Appendix C discusses observed EV charging characteristics in Nova Scotia.
2024 Load Forecast Report REDACTED 1 Figure 31: Historical and Projected General Commercial End-Use Intensity 2 (kWh/m2) 3 4 5 Supporting data for General commercial end-use intensities is included in Attachment 3. 6 7 For the 2024 Load Fo...
AI summary The 2024 Load Forecast Report discusses the inclusion of small-scale solar and EV load in the Miscellaneous category and highlights projected growth in the commercial and industrial sectors due to electrification programs aimed at reducing carbon emissions.
N-6NSPI (Synapse) RIR-1 to RIR-54 - Redacted
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and demonstrative of the potential of specific use cases for managed charging as 29 detailed in M11621. They were not used to develop peak load impacts of EVs. 30 Date Filed: June 19, 2024 NSPI (Synapse) IR-9 Page 6 of 8 REDACTED (CONFIDEN...
AI summary The document references the 2024 Load Forecast Report (NSUARB M11689) and NSPI's responses to Synapse Information Requests. It mentions managed charging use cases detailed in M11621 but notes that they were not used to assess EV peak load impacts.
2024 Load Forecast Report (NSUARB M11689) NSPI Responses to Synapse Information Requests NON-CONFIDENTIAL 1 Request IR-11: 2 3 New Technologies (Section 4.4, pp 43-46) 4 5 (a) Were projected cost declines of home batteries considered in th...
AI summary NSPI responded to Synapse's information requests regarding the 2024 Load Forecast Report. NSPI stated that projected cost declines of home batteries were not considered, V2G technology is not yet incorporated due to its developmental stage, and the residential share in Figure 28 refers to the percentage of residential customers with batteries.
2024 Load Forecast Report (NSUARB M11689) NSPI Responses to Synapse Information Requests NON-CONFIDENTIAL 1 Request IR-48: 2 3 Peak Demand (Section 10.0, p. 94): 4 5 (a) Please provide the generation fuels used to supply system generation,...
AI summary NSPI responded to Synapse's information requests regarding the 2024 Load Forecast Report. NSPI stated that generation by fuel type was not an input to Figure 68 and that generation mix was not modeled for the load forecast. For electric vehicles, NSPI noted that total vehicle sales and stock were not modeled, but assumed 70% of vehicles use managed charging.
1 Request IR-50: 2 3 Peak Load Forecast (Section 10.0, p. 81): 4 5 (a) Has NSPI studied any sensitivities where the peak load occurs in the summer rather 6 than the winter? If so, please provide such sensitivities and the subsequent foreca...
AI summary NSPI has not studied summer peak load scenarios. The winter peak is significantly higher than the summer peak due to factors like electric heating and EV charging. The temperature differential between winter and summer also contributes to higher winter energy demand. Other regions are also seeing a shift to winter peaking due to similar trends.
N-8Evidence of Synapse (BCC)
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EVs are a substantial contributor to peak growth, though diminished in expected peak contribution relative to last year’s load forecast projections. We would like to see a more complete evaluation of the options to control this growth in t...
AI summary The document discusses the impact of electric vehicles (EVs) on peak load growth and critiques NSPI's use of an ELCC factor from a 2019 study for demand response forecasting. It highlights concerns about the methodology and suggests a need for more comprehensive analysis and updated projections.
ed in Synapse’ August 2023 comments regarding the Evergreen IRP Update (M11307), “[i]t is analytically inconsistent to minimize the development and modeled representation of future demand response alternatives that are reasonably, if not l...
AI summary The text discusses recommendations for Nova Scotia Power Inc. (NSPI) to improve its analysis of demand response programs and electrification impacts. It highlights the need for a more comprehensive evaluation of technologies like thermal storage, heat pump water heaters, and induction cooking, particularly in the commercial sector.
lly for peak management. 7. NSPI should validate the use of new home construction as a proxy for customer growth, addressing concerns about potential shortcomings of this proxy variable. 8. We ask that NSPI reassess its modeling approach f...
AI summary The document outlines various requests for NSPI to refine its load forecasting models, including validating proxies for customer growth, reassessing the impact of the pandemic on residential load, and exploring the effects of solar, DSM, and RTR on different sectors. It also suggests adjusting DSM adjustment factors if savings increase and investigating measures to mitigate peak load increases.
16. We ask NSPI to investigate what can be done with time-of-use rates and other measures to mitigate the peak load increases for all these components, especially for the C&I sectors. 17. NSPI should conduct an analysis of portfolio ELCC a...
AI summary The text outlines recommendations for NSPI to investigate time-of-use rates, analyze portfolio ELCC, evaluate technologies like thermal storage and heat pumps, quantify electrification impacts, develop scenarios for uncertain resource adoption, and conduct sensitivity analyses to mitigate projected peak load increases.
ervice customers? Are they implementing DSM measures to reduce load? Adding solar generation? Entering into RTR contracts? Might all this reduce their loads to some degree? (page 25) Synapse Energy Economics, Inc. Evidence Regarding Nova S...
AI summary The text presents a series of questions and requests directed at Nova Scotia Power Inc. (NSPI) regarding load forecasting, demand-side management (DSM) program savings, industrial electrification, real-time rates, and the impacts of renewable energy contracts (RTR) and technologies like heat pumps and thermal storage.