Topic:"Energy Storage" in M11689

) 2024 Load Forecast Report REDACTED 1 Figure 27: PV Impact to Energy (cumulative) 2 Total New Year Load (GWh) Peak (MW) Installs 2024 3,019 -33 0 2025 6,361 -70 0 2026 10,062 -111 0 2027 14,163 -158 0 2028 18,708 -209 0 2029 23,746 -267 0...

AI summary The 2024 Load Forecast Report indicates a cumulative impact of photovoltaic (PV) installations on energy load and peak demand, with negative values reflecting reduced load. The report notes that distributed solar and battery storage combinations are not assumed to be significant due to the high cost of home batteries, ranging from $15,000 to $20,000.

still 9 relatively expensive, in the range of $15,000-$20,000 24 for a single battery and installation 3F 10 (for 5-7 kW batteries). This is more expensive than the cost of a gas-powered generator, 11 which varies from as little as $1,000...

AI summary Residential battery storage systems are currently expensive, ranging from $15,000 to $20,000 for a 5-7 kW battery and installation. Gas-powered generators are a more cost-effective alternative for backup power. Time Variable Pricing (TVP) rates may encourage battery use in the future as costs decrease with technological advancements.

f 100 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2024 Load Forecast Report REDACTED 1 but research in these areas is ongoing and timelines for significant shifts in this technology 2 are unknown. 3 4 The use of home battery storage was ex...

AI summary The 2024 Load Forecast Report discusses ongoing research into technological shifts and the exploration of home battery storage through the SGNS Project. The project used a utility DERMS as a virtual power plant for grid-aware applications, with performance data presented in the Appendix.

e Appendix A – 8 Impact Analysis Report of the Project Final Report. 25 Key results included demonstration 24F 9 of load following demand response modes in evening peak periods of 1 – 1.5kW over four- 10 hour events, shifting load to perio...

AI summary The report discusses the impact of demand response and vehicle-to-grid (V2G) technologies in managing load and reducing peak demand. It highlights the demonstration of load following demand response during evening peaks and the potential of EV batteries to support demand charge management and lower emissions.

Page 44 of 100 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2024 Load Forecast Report REDACTED 1 The technology required for V2G is still in development and is not widely available, but a 2 few manufacturers have included the capability in...

AI summary The text discusses the current state of vehicle-to-grid (V2G) technology, noting that it is still in development and not widely available. It highlights the potential of coordinated distributed energy resources, such as batteries and EVs, to smooth energy demand and mitigate peak loads when managed through a utility DERMS.

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.

and impact to peak loads for example), it will be 27 incorporated into the forecast. 28 29 (d) Residential Share in Figure 28 represents the percentage of residentials with batteries. Date Filed: June 19, 2024 NSPI (Synapse) IR-11 Page 1 o...

AI summary The text discusses the impact of residential battery energy storage (BES) on peak loads, including estimates of peak impact under different scenarios. It also includes customer forecast data for residential customers in 2034.

Customer Forecast Data: Year Customer Count Residential Total (December 31) 2034 546,929 Best estimates based on data available as of April 12, 2021. Still many uknowns and much uncertainty with values presented. REDACTED (CONFIDENTIAL INF...

AI summary The document provides customer forecast data and load forecast scenarios for residential customers in Nova Scotia, including DER peak impact and DR program impacts. The data is based on estimates as of April 12, 2021, with significant uncertainty noted.

3 Q: What are the implications of this finding for NS Power’s decarbonization 4 strategy? 5 A: A key challenge to NS Power’s decarbonization strategy is meeting peak winter heating load. 6 In response, NS Power began studying the hybrid pe...

AI summary NS Power faces challenges in meeting peak winter heating demand as part of its decarbonization strategy. It is pursuing strategies like time-varying rates, battery storage, gas-fueled peaking units, and transmission upgrades. Customer-sited resources could reduce system peak demand by 257 MW, though infrastructure adjustments would be required for large-scale adoption.

John D. Wilson  Grid Strategies, LLC Page 5 “Views on TVA EE Modeling Approach,” presentation with Natalie Mims to Tennessee Valley Authority’s Evaluating Energy Efficiency in Utility Resource Planning Meeting, February 10, 2015. “The Cle...

AI summary John D. Wilson of Grid Strategies, LLC has presented on energy efficiency modeling, renewable energy reliability, carbon markets, solar capacity value, power plant procurement, resource adequacy, and energy transitions at various conferences and forums between 2015 and 2024.

tomer usage of secondary heating equipment. Finally, NSPI should model hybrid electric heating within its model instead of making a simplified adjustment based on E3’s hybrid scenario. 3. We recommend that NSPI model heat pump water heater...

AI summary The document outlines several recommendations for NSPI regarding load forecasting and load management strategies, including modeling hybrid electric heating, heat pump water heaters, EV adoption, solar generation coincidence factors, battery storage incentives, and validating customer growth proxies.

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.

idence of solar generation with month 24 system peaks and make updates to coincidence factors as warranted. 10 25 26 NS Power Response: 27 28 NS power agrees with this recommendation. 29 30 2.1.6 Recommendation 6 31 32 NSPI should continue...

AI summary The document discusses a recommendation for NSPI to investigate incentives for battery storage deployment, including rate design. NS Power agrees with this recommendation. Synapse's 2024 Load Forecast Report (M11689) is cited as evidence. The analysis focuses on aligning battery storage opportunities with system needs and cost-effectiveness.

1 should also continue to investigate the use of EV batteries, especially for peak 2 management. 11 3 4 NS Power Response: 5 6 Battery storage deployment and bi-directional EV charging were covered under the recently 7 concluded Smart Grid...

AI summary NS Power responds to recommendations on EV battery use for peak management and new home construction as a proxy for customer growth. They agree to further study EV batteries post-NSUARB decision on M11621 and argue historical data correlation validates new home construction as a proxy. They also note Synapse's advice to consider household demographics in load forecasts.