E-1Application
5 passages
Item Description Program Enrollment Assumptions • Steady state participation levels22 range from 10% to 30% of eligible customers depending on the customer segment and the type of delivery (BYOD and DI). Eligible customers are those that e...
AI summary The document outlines assumptions and parameters for a demand response program, including participation levels, event timing, unit impacts, and projected load reduction. It also discusses the BNI Curtailment Option as part of the DR Portfolio, targeting large C&I customers and projected to provide 9 MW of load reduction by 2025.
also be offered year-round to provide load reductions during other Item Description E1 will offer the BNI Curtailment option to Large C&I and Interruptible customers. • Customers agree to reduce load by a fixed contracted amount when Table...
AI summary E1 will offer the BNI Curtailment option to Large Commercial and Industrial (C&I) and Interruptible customers, allowing them to reduce load by a fixed contracted amount when needed, as outlined in Table 16.
Table 18. EV Charging Control Option Characteristics Item EV Charging Control Description This option will manage EV charging by controlling either through the EVSE or through onboard telematics at the vehicle. This option could potentiall...
AI summary Table 18 outlines the characteristics of an EV Charging Control option aimed at managing EV charging through the EVSE or onboard telematics. It includes eligibility criteria, participation assumptions, event parameters, incentives, and projected load reductions, with a focus on winter peak reduction and a participation incentive of $32/kW-yr.
Define Program Parameters and Initiate Load Control Events NS Power is assumed to undertake the following: • Define dispatch criteria (economic, reliability, emergency, operating reserves, non-wire alternatives (NWA), etc.) ©2022 Guidehous...
AI summary NS Power is expected to define dispatch criteria and program parameters for load control events, including applicable months, event hours, and minimum load curtailment. E1 is identified as a supporting entity for this function.
"COSS Data Inputs" tab This tab includes all annual test year class usage and embedded costs from the COSS and BCF COSS filed in GRA and BCF proceedings as well as a forecast of annual usage by class per the most recent ten-year Load Forec...
AI summary The 'COSS Data Inputs' tab contains annual test year class usage and embedded costs from the COSS and BCF COSS, as well as a forecast of annual usage by class from the most recent ten-year Load Forecast Report. It also includes annual DSM Expenditures on rate classes, which are used to determine class unit costs and revenues.
E-22021 DSM Evaluation Reports
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APPENDIX I BIBLIOGRAPHY Program Components Bibliographic References National Renewable Energy Laboratory, The Uniform Methods Project Chapter 23: Estimating Net Savings: Common Practices, September 2014, p. 3. Nova Scotia Utility and Revie...
AI summary This appendix lists bibliographic references for various programs and studies, including energy efficiency initiatives, load forecasting reports, and regulatory matters. It includes sources such as the Nova Scotia Utility and Review Board, Nova Scotia Power, and Emera Inc.
9.1.1 Market Share of Heat Pumps The data presented in this subsection are for all heat pumps, not just MSHPs. NS Power data indicates that, since 2013, over 90% of heat pumps installed through the NS Power on-bill financing program compon...
AI summary The text discusses the market share of heat pumps in Nova Scotia, noting that the majority of heat pumps installed through NS Power's on-bill financing program and EOne's incentives are mini-split heat pumps (MSHPs). It provides data on the number of homes with heat pumps installed annually from 2013 to 2021 and forecasts future growth rates and cumulative numbers.
B. Participant Perspectives - B1. How did you first hear about the OEM Operational Demand Savings Pilot? - B2. What motivated you to participate in the OEM Operational Demand Savings Pilot? - B3. Did you face any challenges or barriers whe...
AI summary The text outlines a series of questions posed to participants in the OEM Operational Demand Savings Pilot, focusing on their experiences, challenges, and suggestions for improvement related to the implementation and sustainability of energy-saving measures.
Unitary Peak Demand Savings Since no information could be found in the literature, the peak demand savings of DWHTs were based on Nova Scotia Power estimates in their 2019 Load Forecast Report. 148 148 Nova Scotia Power. 2019 Load Forecast...
AI summary The peak demand savings of DWHTs were estimated based on Nova Scotia Power's 2019 Load Forecast Report, which estimated an average peak contribution of 0.57 kW per tank. Due to uncertainties, the value was rounded down to 500 W, deemed conservative and acceptable.
E-14E1(Synapse) RIR-1 to RIR-37
3 passages
E1 Responses to Synapse Energy Economics (Synapse) Information Requests NON-CONFIDENTIAL [Evidence] Request IR-10: Please refer to p. 58, regarding the collaboration between E1 and NS Power on two pilot programs for the 2021-2022 timeframe...
AI summary E1 and NS Power collaborated on two demand response pilot programs during 2021-2022, including the Domestic Hot Water Direct Load Control Pilot, which involved installing control equipment on residential water heaters. Procurement and testing of equipment from two vendors were completed, with 202 controllers procured.
Metrics Metric Results (Nov 23, 2021) Estimated demand savings per controller 0.5 kW # of test controllers installed 4 (2 in NSCC lab & 2 in E1 homes) # of customer controllers installed 98 (73 Shifted Energy & 25 Aquanta) Pre-Pilot Testin...
AI summary The document presents metrics from a pilot testing phase involving demand response controllers. It outlines results such as estimated demand savings, number of controllers installed, and details of pre-pilot and pilot testing activities, including automatic opt-outs during peak demand periods.
Observations and Learnings - Typically scheduling three events per week, with variations in day of the week and event times. Peak Shifting events have been scheduled based on system load and wind generation forecasts. - As expected, have o...
AI summary The document discusses observations from a demand response pilot program, including scheduling practices, opt-out rates, customer concerns, and technical adjustments to minimize complaints. It highlights the use of machine learning and threshold settings to manage participant comfort and data access concerns.
E-30E1 Compliance Filing 2023-2025 with Appendix A-D FINAL
4 passages
6.4.3 QUALITY ASSURANCE - For DR pathways the framework is expected to leverage applicable EE quality assurance activities for - pathways co-delivered with EE activities. The quality assurance framework is also expected to include test - e...
AI summary The quality assurance framework for DR pathways is expected to leverage EE quality assurance activities, and include test events, customer surveys, and inspections to ensure compliance and effectiveness.
2.1.4 Peak Period Definition and Baseline Peak Demand Projections A key element of market characterization for the DR portfolio assessment is to develop disaggregated bottom-up peak demand projections by customer class, segment and end use...
AI summary The document outlines the process for defining peak periods and developing baseline peak demand projections for the DR portfolio assessment. It uses historical load data, normalized loadshapes, end-use shares, and energy sales forecasts to estimate demand by customer class and end use, with calibration to align with peak demand distributions.
Item Description Participation Incentives • Residential Central HP: $25/new participant (one-time enrollment), o $50/participant/yr. annual participation incentive. Baseboard and MSHP: $5/new participant (one-time enrollment), o $10/yr. ex...
AI summary The document outlines participation incentives for residential and small commercial and industrial (C&I) participants in the Direct Load Control (DLC) program for water heaters, including one-time enrollment incentives and annual participation incentives. It also projects a 0.5 MW peak load reduction in 2025 and estimates cumulative costs for DLC using smart thermostats from 2023 to 2025 at around $443.3k.
The 2023-2025 DR Portfolio includes a Bring Your Own Device (BYOD) controllable water heater and Direct Install (DI) water heater switch option to residential and small C&I customers. This option is expected to provide approximately 5.5 MW...
AI summary The 2023-2025 DR Portfolio includes a Bring Your Own Device (BYOD) controllable water heater and Direct Install (DI) water heater switch option for residential and small C&I customers, expected to provide 5.5 MW of load reduction by 2025, with 80-95% of reductions from residential customers.