Topic:"Electricity Generation" in M11108

Vehicle Avg Avg kW/vehicle Avg kWh/year Type km/year 15 on Peak LDV 17,427 4,323 0.9 MDV 22,779 8,205 1.6 HDV 62,888 113,890 7.3 6 7 The peak impact assumes that 70 percent of charging is managed by NS Power (including 8 smoothing through...

AI summary The text discusses the impact of electric vehicles (EVs) on the grid, focusing on peak demand and energy consumption. It notes that managed charging (70% by NS Power) reduces peak demand to 0.9 kW/vehicle, compared to 1.6 kW/vehicle in unmanaged scenarios. The Smart Grid Nova Scotia (SGNS) Project is collecting data on EV impact, with 100 smart chargers installed for testing.

1 events. Two bi-directional chargers have been installed as of December 2022 with 2 additional chargers expected to be installed through 2023. The current installations have 3 been installed at non-residential locations with utility contr...

AI summary The document discusses the installation and performance of bi-directional EV chargers in Nova Scotia, noting that two have been installed by December 2022 with more expected in 2023. These chargers are located at non-residential sites and are used to offset building load. The availability of fleet vehicles is a key factor in determining the capacity factor of these chargers. Charging patterns show higher load during summer and peak usage around 11:00 pm on weeknights, influenced by factors like TOU rates and customer perceptions.

DENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 Figure 75: System Peak Sensitivity 2 3 4 This analysis provides a potential range of outcomes for the 2023 Load Forecast. Energy 5 is most sensitive to economics over the lo...

AI summary The 2023 Load Forecast Report discusses the sensitivity of energy demand and peak load to factors like economics and temperature. It compares the 2023 forecast with the 2020 IRP cases, noting that the 2023 forecast lies between Mid and High Electrification scenarios. The report also highlights the slow ramp-up of EV and heat pump adoption to meet decarbonization targets.

Shares (%) Heating Oil – Normal Efficiency 28.9 26.1 23.4 21.0 19.1 16.5 14.4 12.3 11.0 9.3 7.9 6.8 6.0 5.0 2.6 2.3 0.7 0.0 0.0 0.0 Heating Oil – Medium Efficiency 27.1 30.0 33.3 35.7 37.4 39.9 41.9 43.9 45.0 46.3 47.6 48.6 49.4 50.3 52.7...

AI summary The text presents a table showing the distribution of heating sources over time, with percentages for various heating methods such as Heating Oil (Normal, Medium, and High Efficiency), Natural Gas (Normal, Medium, and High Efficiency), Electric, Heat Pump, and Other. The data indicates a decline in the use of heating oil and an increase in electric and natural gas usage over the years.

not received a Sunrun HIS given delays in certification. NS Power will continue to work with vendors to obtain a HIS when it becomes available for purchase in Canada. COMMUNITY SOLAR GARDEN • A recurring current transformer (CT) failure wa...

AI summary The Community Solar Garden has faced technical issues, including CT failures and insulation installation to address condensation and moisture. An antenna was installed to improve connectivity with NS Power systems, enabling remote operations and data access for use case testing. Details on production and performance are provided in Attachment 4.

under ‘electric vehicle (EV) vehicle-to-grid (V2G) Chargers,’ as highlighted in Attachment 3. 1 0 F • Customer Tesla vehicles continue to be excluded from use case events to protect from undue risks placed on Tesla protection systems. The...

AI summary The document outlines modifications to an EV charging and demand response project, including the exclusion of Tesla vehicles from use case events, the addition of managed EV charging via the ev.energy platform, and the inclusion of Commercial and Industrial Building Management System (BMS) controls for Demand Response (DR). These changes were first reported in various semi-annual reports.

is based on energy used at the charger level. Figure 1 accounts for data collected from January 1, 2021, to December 31, 2022. Baseline data is considered for days without events, excluding holidays. To date, aggregated charging data was e...

AI summary The text discusses the analysis of EV charging data collected from January 2021 to December 2022, highlighting baseline energy consumption patterns by hour of the day. It notes a shift in charging activity from the evening to early morning hours, with peak consumption remaining between 23:00 and 00:00. Data was captured using the ChargePoint portal and analyzed in Excel, with some Tesla vehicles transitioning from the ChargePoint user group.

int Results Figure 15 depicts the technical capability to curtail EV charging load during the Nova Scotia grid peak, between 17:00 and 19:00, by curtailing electric vehicle supply equipment (EVSE). Page 19 of 48 . . REDACTED (CONFIDENTIAL...

AI summary The text discusses the technical capability to curtail EV charging load during grid peak hours in Nova Scotia, using EVSE and ChargePoint dashboards. It highlights opportunities to shift EV charging peaks away from grid peaks to alleviate system impacts, with specific data from February 27, 2022, showing a peak charging power of 132.3 kW.

-In (kW) across all executed events in the ev.energy fleet is currently 1.01 kW as shown in Table 2. This testing will continue through 2023 and results will be presented as part of future reporting. E V S E4 – INTERMITTENT RENEWAB LE GENE...

AI summary The report details ongoing testing of EVSE4 and the ev.energy fleet, including intermittent renewable generation following functionality. Testing is expected to continue through 2023 with results to be included in future reporting. A modified use case was expanded to include a 72-hour wind generation forecast applied as a proxy price signal to shift EV charging.

ce August 9, 2022. A reoccurring inverter fault with the Coritech charger has impacted charger functionality and data availability, and NS Power is working with Coritech and NSCC to resolve the issue. NS Power has access to Fermata Energy...

AI summary The document discusses issues with Coritech chargers, including a recurring inverter fault that has affected data availability and functionality. NS Power is working with Coritech and NSCC to resolve the issue. Fermata Energy's FE-15 model is currently in use, but the FE-20 model is expected to replace it in the second or third quarter of 2023. Use-cases are cycled weekly, and tables summarize bi-directional charging events.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 2 Page 30 of 48 Attachment 2 – SGNS Use Case Testing Update Report ‘Estimated Average Reduction per Event (kW)’ is the average actual discharge power observed for an event. The nominal...

AI summary The document discusses NS Power's progress in testing EVSE use cases for demand charge management and load leveling. Testing includes Fermata and Coritech units, with a focus on discharge levels and economic dispatch strategies. Testing for EVSE5 is anticipated to begin in March 2023 once full user control is achieved.

-directional EV chargers would be more impactful at reducing monthly demand at facilities with consistent energy demand profiles and peak periods that are substantial and shorter in duration. Page 34 of 48 . . REDACTED (CONFIDENTIAL INFORM...

AI summary The document discusses the impact of bidirectional EV chargers on demand charge management, particularly for customers with consistent energy demand profiles and peak periods. It highlights the Fermata charger's capability to automatically discharge battery power to offset high building demand when a pre-set meter target is exceeded.

homes with suitable locations for battery installation, compliant with the new Regulations. 3 Electrical Code Regulations - Electrical Installation and Inspection Act (Nova Scotia) section 3(2) Page 8 of 14 . . REDACTED (CONFIDENTIAL INFOR...

AI summary The document discusses communication failures in battery energy storage systems installed by NS Power, particularly with LG batteries and inverters, and highlights a platform risk with ev.energy due to reliance on third-party APIs and manufacturer consent.

ect (i.e. major effect on budget and/or the critical path schedule is at risk; an amendment is likely ☐ required) Percentage of total tasks completed to date 80 % pg. 1 . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forec...

AI summary The report outlines the status of EV smart charger installations and bi-directional charger testing. All 100 EV smart chargers are installed, and testing for bi-directional chargers is ongoing, with delays due to certification and installation scheduling.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Synapse Energy Economics Information Requests NON-CONFIDENTIAL 1 Request IR-44: 2 3 Nova Scotia Power Electrification Support Overview by E3 4 5 (a) Please provide the full report...

AI summary NSPI provided responses to Synapse Energy Economics' information requests regarding the 2023 Load Forecast Report. The report, titled 'Nova Scotia Power Electrification Support Load Forecast Inputs – Overview,' was included as Appendix E in the 2022 Load Forecast Report. E3 contributed data on EV load shape and space heating.

2023 Load Forecast Report Synapse IR-44 Attachment 1 Page 4 of 8 Electric Vehicle Adoption Stock Rollover  EV adoption/stock estimate was developed in E3’s PATHWAYS stock rollover model ▪ PATHWAYS is an infrastructure-based model reflecti...

AI summary The document discusses the 2023 Load Forecast Report, focusing on electric vehicle (EV) adoption and stock rollover modeled by E3’s PATHWAYS model. It outlines assumptions for light-duty vehicle (LDV) and parcel truck/medium-duty vehicle (MDV) stock growth, including a target of 100% electric LDV sales by 2035 and 95% MDV sales by 2040. The report also mentions transportation load shaping processes.

1 Request IR-45: 2 3 General Forecast Report Improvements – The Board Decision of October 31, 2022 notes that 4 NS Power agreed to the following changes in the 2023 forecast report (p 4): 5 6 In its Reply, NS Power addressed the concerns r...

AI summary NS Power has agreed to improve its 2023 forecast report by incorporating multi-hour temperature and windspeed analysis, multi-station weather data, and electrification impacts. It will also refine DR estimates, evaluate heat pump impacts, and update EV adoption rates, among other changes.

Please refer to Section 10 at page 78. Date Filed: June 20, 2023 NSPI (Synapse) IR-45 Page 2 of 4 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Synapse Energy Economics Information...

AI summary The document outlines recommendations and updates related to the 2023 Load Forecast Report, including refining electrification impact analysis, incorporating commercial and industrial electrification impacts post-2027, evaluating heat pump impacts, and updating EV adoption rates. Some items are deferred for future study.

gory UARB Comments Status Notes assess the impact of DSM, Solar PV, EVs, battery storage, and weather. The Board directs NS Power to continue NS Power held a to actively engage with intervenors as stakeholder conference on well as other st...

AI summary The NSUARB has directed NS Power to engage stakeholders and assess the impact of DSM, Solar PV, EVs, and battery storage on load forecasting. The Board also requested an evaluation of elasticity inputs in the SAE model and residential model robustness.

incorporates these trends into the forecasts. This change represents an acknowledgement of climate reality and is a definite step forward. This data should be analyzed and updated on a regular basis. NSPI previously investigated the use of...

AI summary The document discusses incorporating climate trends into load forecasts, noting a 11% residential load increase (2023-2033) with DSM programs, driven by new customers and EV adoption. A regression-based SAE model includes factors like heating, cooling, and DSM savings. Additional weather data had minimal impact on forecasts.

a more complete evaluation of the options to control this growth in the next forecast. While Synapse requested the same detail in last 59 “2023 10-Year System Outlook NS Power,” June 30, 2023. Synapse Energy Economics, Inc. Evidence Regard...

AI summary The document discusses concerns about the accuracy of Nova Scotia Power's load forecast, particularly regarding the impact of electric vehicles and heat pumps on peak demand. It recommends further investigation into the performance of heat pumps, thermal storage, and induction cooking technologies, and urges NSPI to quantify electrification impacts in the commercial sector. The forecast is deemed plausible but requires refinement.

These load management strategies should be reflected in the next load forecast with greater detail, with all assumptions supported empirically to the maximum extent possible (page 14). 5. NSPI should include in its next load forecast more...

AI summary The document outlines several recommendations and questions regarding NSPI's load forecasting, including the need for more detailed and empirically supported assumptions, validation of proxy variables, and exploration of the impacts of EV load shifts, DSM programs, solar generation, RTR programs, and industrial electrification.

small general sector. Evidence of John D. Wilson  Matter No. M11108  July 18, 2023 Page 3 1 III. Improvements Demonstrated in 2023 Load Forecast Report 2 Q: Please summarize the improvements demonstrated in the 2023 Load Forecast 3 Repor...

AI summary NS Power improved its 2023 Load Forecast Report by updating peak design temperature parameters and creating a hybrid electrification scenario. The report also evaluated using multiple weather stations but concluded that Shearwater RCS alone suffices, referencing prior evidence from 2021.

rvice in its Rebuttal Evidence. NS Power filed its Rebuttal Evidence on September 14 ,2023. Document: 308584 -2- 2023 Load Forecast NS Power uses two discrete elements for its forecast. The first is the Statistically Adjusted End- Use (SAE...

AI summary NS Power's 2023 Load Forecast uses SAE models and DSM adjustments, projecting near-term growth from customer and EV adoption, offset by DSM and solar. Long-term growth (0.7% annual NSR increase) is driven by electrification but mitigated by efficiency and demand response.

e impacts of COVID on the 2021 and 2022 loads. 12 b. Please explain and quantify the ongoing effects of COVID in the commercial forecast. 13 c. Please explain why the current forecast (Figure 44) remains shows an increase through 14 2033 w...

AI summary The text outlines regulatory requests (IR-21 to IR-23) seeking explanations for forecast discrepancies in electricity demand, focusing on factors like COVID impacts, EV loads, space heating, DSM programs, and solar generation. Requests emphasize quantifying model changes, evaluating efficiency trends, and clarifying forecast assumptions for 2021–2033.

Document: 303590 (P-194) Date Filed: 05/30/23 UARB Page 3 1 Request IR-5: 2 Page 33 of the Application lines 5 to 6 state: “The end-use model uses an estimated saturation of 3 40 percent of customers supplying their heat via heat pumps in...

AI summary The UARB requests explanations for increased heat pump saturation estimates (33% to 40%), effectiveness of heat pump water heaters, verification of EV adoption data, and bi-directional charger installations. Questions focus on forecast justification, program timelines, and EV data accuracy.