Topic:"Infrastructure Planning" in M11108

1 Figure 43: Illustrative Contribution of Specific End Uses............................................................ 61 2 Figure 44: Commercial Class Sales ...................................................................................

AI summary The text lists figures illustrating energy sales, demand forecasts, temperature regression models, and economic indicators. It includes historical and projected data for residential, commercial, and industrial sectors, along with demand response and peak temperature analysis.

EMOVED) 2023 Load Forecast Report REDACTED 1 Figure 3: Historic and Forecast Net System Requirement and System Peak 2 Year NSR (GWh) Growth (%) System Peak (MW) Growth (%) 2013 11,194 6.9 2,033 8.0 2014 11,037 -1.4 2,118 4.2 2015 11,099 0....

AI summary The 2023 Load Forecast Report presents historical and projected Net System Requirement (NSR) and System Peak data from 2013 to 2033, showing fluctuating growth rates for electricity demand and peak load. Forecasts indicate a generally increasing trend in both metrics, with minor variations in annual growth rates.

ns it has agreed to in the next Load Forecast report, 25 including providing greater details and investigation of the impact to energy 26 and peak from electrification as well as from new technologies, especially 27 findings from pilot pro...

AI summary NS Power is directed to enhance its Load Forecast Report by detailing electrification impacts, new technologies, and pilot project findings, while refining weather-normalized value calculations as recommended by intervenors.

1 - Revisit the short-term economic inputs provided by the Conference 2 Board of Canada to ensure data are close to those used in the 3 forecasts of Canada’s major Banks. 4 5 - Revisit the model’s EV adoption rates and examine EV rebates t...

AI summary NS Power revised the 2023 Load Forecast by updating peak temperature models, incorporating EV adoption data aligned with federal ZEV mandates, and including hybrid electrification scenarios. The Board directed revisiting economic inputs from the Conference Board of Canada and EV rebate data from Statistics Canada and Nova Scotia Open Data.

Page 94 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED

AI summary The document is a redacted version of the 2023 Load Forecast Report, which discusses energy demand projections and related planning considerations for Nova Scotia. Key topics include forecasting methodology, energy usage patterns, and infrastructure planning.

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.

trajectories of these technologies. The ongoing evergreen IRP analysis incorporates the 2 2022 Load Forecast as its central planning case. 3 4 Figure 76: IRP Scenarios Comparison 5 2023 2023 2033 2033 NSR Firm NSR Firm Item Energy Peak Ene...

AI summary The document discusses the Integrated Resource Plan (IRP) analysis, incorporating the 2022 Load Forecast as the central planning case. It outlines various IRP scenarios, including high, mid, and low trajectories, along with their projected energy and peak demand values for 2023 and 2033.

e 3 of 3 Appendix A – Forecast Values Table A2: Coincident Peak Demand - 2023 NS Power Forecast Peak Forecast

AI summary This section provides an appendix with forecast values for coincident peak demand in 2023 as part of the NS Power forecast.

ivers, while on the peak side DSM, EVs, hybrid heating peak mitigation and weather/economics are all similar. Figure D8 shows the relative impact of these items. Figure D8: Relative Impact of Inputs 2023 Energy 2023 Peak 2033 Energy 2033 P...

AI summary The document discusses the impact of various factors on energy and peak demand forecasts for 2023 and 2033, including demand-side management (DSM), solar PV, electric vehicles (EVs), hybrid heating systems, and weather/economics. It outlines scenarios such as the E3 hybrid scenario and mentions the potential for large-scale hydrogen production.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Consumer Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-4: 2 3 Reference: Exhibit N-1, Figure 44 and p. 62, lines 23-25, p. 64, lines 7-12, and p. 65, lines 10- 4 17....

AI summary NSPI explains that distribution system impact studies, revised transformer standards, and advanced metering infrastructure (AMI) data are used to plan for EV charging, commercial electrification, and solar generation. These methods ensure network upgrades and long-term infrastructure investments are aligned with load growth.

, E3 modeled 22 a mix of 30 percent Base efficiency, 40 percent Mid efficiency and 30 percent Best in Class 23 heat pumps. The corresponding COPs are shown in the following graph: Date Filed: June 20, 2023 NSPI (EOne) IR-2 Page 2 of 3 2023...

AI summary NSPI (EOne) discusses heat pump modeling assumptions in their 2023 Load Forecast Report, including a 'Hybrid Peak' scenario with non-electric heating retention. They reference E3's RESHAPE model and note no changes from the 2022 forecast except for updated assumptions in the Hybrid Peak scenario.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Industrial Group Information Requests NON-CONFIDENTIAL 1 Request IR-2: 2 3 Reference: N-1 – 2023 Load Forecast Report, p.70 and Fig. 51 4 5 (a) Please elaborate on the “several ne...

AI summary NSPI responds to queries about 2023 load forecasts, noting proposed industrial expansions, excluding current hydrogen projects, and referring to future updates. It also addresses potential customer classification for large renewable projects.

1 2023 Load Forecast Report (NSUARB M11108) NSPI Responses to NSUARB Information Requests NON-CONFIDENTIAL

AI summary NSPI's responses to NSUARB information requests regarding the 2023 Load Forecast Report, part of a regulatory proceeding involving energy planning and infrastructure considerations.

ther Nova Scotia forecasts for 2023. 27 28 (d) Figure 18 Commercial Economic Drivers provides Non-Manufacturing GDP and 29 Non-Manufacturing Employment with very small growth in 2023. Date Filed: June 20, 2023 NSPI (NSUARB) IR-4 Page 1 of...

AI summary The document references a 2023 Load Forecast Report and economic drivers data (Non-Manufacturing GDP/employment growth) submitted by NSPI in response to NSUARB information requests. The forecast context includes infrastructure planning and multi-year planning cycles.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to NSUARB Information Requests NON-CONFIDENTIAL 1 Request IR-6: 2 3 Page 37 of the Application addresses heat pump water heaters, lines 11 and 12 state: 4 “Growth is expected to rema...

AI summary NSPI clarifies that the 2023 Load Forecast Report assumes increasing hot water heater efficiency but does not explicitly account for heat pump water heaters. It assumes a full transition to heat pump space heating by 2050 for carbon reduction targets, though no specific end date for incentives is provided. NSPI states no commonly available heat pumps currently provide both domestic hot water and space heating simultaneously.

0 1 19 WtXCool=0.23 XCool+0.51 XCool-1+0.26 XCool-2. This split creates a lag in the 20 WtXCool/WtXHeat variables, shifting a portion of cooling/heating impacts by 21 approximately two months. 1 The same weights are used for WtXHeat. Date...

AI summary The text discusses equations used in load forecasting models, referencing a 2023 Load Forecast Report (NSUARB M11108). A request highlights concerns about outdated 2013 data on building efficiency, with NS Power responding that no other Nova Scotia-specific data sources are available beyond EIA-derived datasets.

1 Request IR-25: 2 3 Page 8 of 8 of Appendix D Forecast Sensitivity Analysis, NS Power states “Other scenarios 4 include the potential development of large-scale hydrogen production in the province. At this 5 time, the effects on the Net S...

AI summary NS Power acknowledges the potential development of large-scale hydrogen production in Nova Scotia but states that current information on its impact on load forecasts is insufficient. They plan to monitor developments and incorporate relevant data in future reports. The response also addresses concerns about the legislative regime for green hydrogen and EverWind Fuels' production goals by 2025.

9 NS Power is taking steps to understand these requirements in support of the development 30 of the industry, while serving the long-term interests of NS Power’s other customers. Date Filed: June 20, 2023 NSPI (NSUARB) IR-25 Page 1 of 2 20...

AI summary NS Power is incorporating hydrogen scenarios into its IRP modeling, considering the need for additional renewable and firm resources to support hydrogen facilities with 100% renewable electricity. Further modeling will be conducted as system requirements become clearer.

1 research/housing-research/surveys/methods/methodologies-starts-completions-market- 2 absorption-survey. 3 4 d) Population increased in 2022 due mainly to immigration from other provinces and from 5 outside the country (immigration repres...

AI summary Population growth in Nova Scotia, driven by immigration, is projected to increase from 2021 to 2033, leading to higher housing completions and customer counts. Non-manufacturing GDP and employment data are used in forecasts to model these trends.

0.9 1.2 1.1 1.0 1.0 0.9 1.0 1.1 1.3 1.3 1.1 1.0 0.8 0.7 0.8 0.9 0.9 0.7 0.5 0.5 Shares (%) Electricity 56.3 54.6 57.7 55.3 49.7 49.5 47.7 54.6 58.4 66.0 64.8 58.7 58.8 58.2 63.3 60.7 62.0 67.0 71.4 70.6 Natural Gas 0.0 0.0 0.0 1.4 2.0 3.7...

AI summary The text presents a series of numerical data tables showing energy consumption shares and floor space activity over time, with percentages and values for different energy sources and metrics. The data appears to be related to energy usage and infrastructure activity, but the context and discussion themes are not explicitly detailed.

5.3 7.1 6.3 7.0 5.0 6.4 5.5 4.6 5.3 4.1 4.5 3.7 8.1 7.6 7.0 8.0 8.7 9.3 12.0 8.9 Activity Floor Space (million m2) 15.28 15.61 15.81 16.16 16.43 16.74 17.03 17.30 17.51 17.86 18.05 18.25 18.53 18.65 18.63 18.67 18.67 18.81 18.84 18.73 Ener...

AI summary The text presents numerical data on energy intensity and floor space over a series of time periods, indicating fluctuations in energy use and building expansion. These metrics may be relevant to energy efficiency and resource planning discussions.

206.34 204.05 197.30 194.51 208.71 197.98 189.98 198.81 197.79 193.89 193.94 193.91 165.48 166.25 177.25 174.73 167.63 183.01 188.48 198.49 Auxiliary Motors Energy Use for Educational Services1 (PJ) 0.6 0.5 0.5 0.5 0.6 0.5 0.4 0.5 0.5 0.5...

AI summary The text presents numerical data on energy use and intensity for educational services in Nova Scotia, including auxiliary motors energy use and floor space over time. It provides metrics that may be relevant to energy efficiency and resource planning discussions.

vided in Attachment 3 – Use Case Testing Dashboard. The blue shading in this attachment denotes where devices are connected, and where NS Power is gathering data and running use case tests as planned. Please refer to Attachment 4 – Solar G...

AI summary The document discusses the progress of the Smart Grid Nova Scotia Project, including use case testing, data collection, and the development of a preliminary economic analysis model. Attachments provide details on device connectivity, specific metrics, and lessons learned. The final business case will include grid and customer benefits from utility-controlled assets.

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.

e failure. Consideration of integration to an asset management and/or customer management platform should be given for future planning as well as adequate resources for administration and operation. 7. Data & Reporting Efficient data repor...

AI summary The document discusses the integration of asset and customer management platforms for future planning and the current limitations of the ESP data reporting system. It outlines efforts to improve data reporting through testing, SFTP setup, and collaboration with Siemens and the Business Intelligence team.

8/23/22 REMARKS Charge to: DEPARTMENT CASH FORECAST - BALANCE OF PROJECT INCLUDING CY PAYMENTS, CLAIMS IN PROGRESS AND AMOUNT OF HOLDBACK FCF 20 20 FCF+1 20 20 FCF+2 20 20 FCF+3 20 20 FCF+4 20 20 Future Years $ $ $ $ $ $ ISED-ISDE1217E (20...

AI summary The text provides a financial forecast and includes references to a load forecast report and a smart grid semi-annual report. It mentions project costs categorized by type, but specific details are redacted.

Not a formal work package under this program, however, collaborations noted below: Unrestricted Page 5 of 15 Document # PM-FM-011 Version 5 2022-08-10 . . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synap...

AI summary The text outlines various activities related to energy projects in Nova Scotia, including DER monitoring by Dalhousie University, a student's involvement in modeling DER program potential, and community engagement for a solar garden site. It also mentions the Tobique Microgrid Demonstration and North Branch Smart Energy Development, though details are sparse. A cost report for Siemens is included, focusing on foreign costs and deviations from the Contribution Agreement.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 8b Page 1 of 4 NATURAL RESOURCES CANADA SGNS Financial & Status Report 1 – PROJECT INFORMATION Case File Number GI-SG-134 Program Green Infrastructure – Smart Grids Proponent Nova Scot...

AI summary The document is a semi-annual report for the Collaborative Grid Innovation for Atlantic Smart Energy Communities project, submitted by Nova Scotia Power Inc. under the Green Infrastructure – Smart Grids program. It indicates that the project is behind its baseline schedule but without major impact on the project's critical path or scope.

2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 136 of 205 REDACTED CI C0010788 – Smart Grid Semi-Annual Report Attachment 9a Page 1 of 5 Smart Grid Program Per the quarterly claim due date indicated in Schedule C of the Contribut...

AI summary The document outlines the Smart Grid Program's financial reporting for the quarter ending September 30, 2022-23, including eligible expenditures such as salaries, overhead, professional services, travel, equipment, and other expenses for the Collaborative Grid Innovation for Atlantic Smart Energy project by Nova Scotia Power.

21 10:22:39 -04'00' Date: 12/21/22 Name: Shawn Connell Title: Senior Director, Key Accounts & Customer Solutions Submit quarterly claim package to: [email protected] . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Loa...

AI summary The document is a financial and status report submitted by Nova Scotia Power Inc. for the Collaborative Grid Innovation for Atlantic Smart Energy Communities project under the Green Infrastructure – Smart Grids program. The project is reported to be behind the baseline schedule but without major impact on the project's critical path.

on of NRCan funding ☐ is required (i.e. amendment to budget is likely required) Requested advance for next reporting period (if applicable) $ 0.00 Budget description – Summary of project costs for NS Power's Smart Grid program is provided...

AI summary The document outlines a budget request for NS Power's Smart Grid program, noting that an amendment to the budget may be required. A summary of project costs is provided in an Excel document, and there are sections for web highlights and media products, though they are currently unpopulated.

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.

7 January 1, 2016 December 31, 2016 January 1, 2015 December 31, 2015 Note: the baseline data years are automatically calculated by the APBR form based on the project start date and fiscal year entered in the Project and Client Data Tab, a...

AI summary The text includes a table with dates and notes about baseline data years calculated by the APBR form based on project start dates and fiscal years. It also references a redacted load forecast report and a smart grid semi-annual report attachment.

Total Cumulative Total Cumulative Comm Cumulative Res Cumulative Res Comm Cumulative Cumulative Capacity Res Install Install Year Installs (MW) GWh Installs (MW) Comm GWh GWh (MW) Est Est Total Installs 2023 19 20 2 2 23 21 2,174 94 2,268...

AI summary The text presents a table with cumulative installs, capacity, and energy generation data from 2023 to 2033. It includes metrics such as total installs (MW), cumulative generation (GWh), and estimated installations. The data appears to be related to energy infrastructure planning and capacity expansion over time.

1.00 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-17 Attachment 1 Page 5 of 9

AI summary The document is a redacted page from the 2023 Load Forecast Report, specifically Synapse IR-17 Attachment 1, and appears to be part of a regulatory proceeding in Nova Scotia.

Page iii ©2019 Navigant Consulting, Ltd. . REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30 Attachment 1 Page 9 of 355 Nova Scotia Energy Efficiency and Demand Response Potential Study for 2021-2045 E. EX...

AI summary EfficiencyOne commissioned Navigant Consulting to conduct energy efficiency and demand response potential studies for Nova Scotia from 2021 to 2045. The study focuses on residential and business, nonprofit, and institutional sectors, aiming to assess energy efficiency measures, operational activities, and user behavior changes to reduce energy consumption. Results will inform integrated resource planning and program design.

mic and market savings potential across Nova Scotia. These results 1 will be used to inform integrated resource planning (IRP), and energy efficiency and demand response program design in Nova Scotia. E.1 Estimation of Energy Efficiency Po...

AI summary The text discusses the estimation of energy efficiency potential in Nova Scotia using Navigant's DSMSim™ model. The model calculates technical, economic, and market savings potential, considering different types of efficiency measures and their impacts across various sectors and customer segments.

bal input assumptions and measure characterizations. We also carefully considered, and as appropriate, were responsive to stakeholders’ input, incorporating their feedback into the analysis approach. 1.1 Context and Study Goals Navigant wa...

AI summary Navigant was retained by EfficiencyOne to estimate the potential for electric energy efficiency and demand response in Nova Scotia from 2021 to 2045. The study involves analyzing current energy use patterns, characterizing potential efficiency measures, and estimating achievable energy savings. The findings will support integrated resource planning and program design.

P.O. Box 64 Toronto, ON M5X 1B1 Canada 416.777.2440 navigant.com Reference No.: 207668 May 09, 2019 ©2019 Navigant Consulting, Ltd.. . Date Filed: August 14, 2019 Page 1 of 40 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast...

AI summary This document outlines the methodology for two studies on energy efficiency and demand response potential in Nova Scotia for 2021-2045. The studies aim to quantify electricity and demand savings and associated costs, by sector and end use, to inform Nova Scotia Power’s next Integrated Resource Plan.

use server virtualization and decommissioning? Server virtualization is a way of reducing the number of physical computer servers by running multiple, independent operating systems on a single server.

AI summary The text discusses server virtualization as a method to reduce the number of physical servers by running multiple operating systems on a single server, potentially leading to decommissioning of unused hardware.

1 Request IR-33: 2 3 Sensitivity Analysis (Section 11, 2020 IRP Comparison, pp 97-98) 4 5 (a) Please provide information about how the evergreen IRP analysis might affect future 6 loads. 7 8 (b) For comparison with the previous forecast pl...

AI summary The response to Request IR-33 discusses the impact of the Evergreen IRP analysis on future loads and provides a comparison of load forecasts for 2023 and 2032. The Evergreen IRP results will help NS Power update its IRP Action Plan and inform future load forecasts, particularly as electrification and peak reduction programs progress.

REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-44 Attachment 1 Page 2 of 8 About E3 Engineering, Economics, 90+ full-time consultants 30 years of deep expertise Mathematics, Public Policy… San Francisco Ne...

AI summary The document highlights the importance of electrification in achieving Net-Zero goals in Nova Scotia, with Synapse Energy Economics providing support for integrated resource planning and electrification strategy reports, including work with Nova Scotia Power.

ent. But there is a projected 10 percent increase in the number of customers which boosts the model load by 48 GWh (or 14.8 percent). Note also the big increase associated with commercial EV usage. 49 Note that the reported DSM impacts are...

AI summary The document highlights a 10% customer increase boosting model load by 48 GWh, driven by commercial EV growth and DSM impacts exceeding SAE model estimates. NSPI notes pandemic effects reducing commercial sales by 13 GWh annually, while large Gen loads rise by 26 GWh due to electrification and institutional expansion. Solar and DSM projections are absent from NSPI's submission.

with a total load increase of 40 GWh by 2033. 55 This is a very small fraction of the total industrial load but the potential could be greater as some industries shift further away from fossil fuels. This forecast assumes the continuation...

AI summary The industrial load forecast projects a 2.7% increase by 2033, with DSM savings of 57 GWh and RTR resources at 38 GWh. Uncertainties include industrial electrification trends and operational changes. Recommendations urge NSPI to explore impacts of electrification, savings potential, real-time rates, and RTR growth.

levels. We ask NSPI to explore the potential for greater industrial savings. We ask NSPI to explore the impacts of real time rates. We ask NSPI to explore the impacts of increases in industrial RTR. 2.5. Commercial and Industrial Electrifi...

AI summary The document requests NSPI to explore industrial savings, real-time rates, and electrification impacts. It highlights forecasts for commercial/industrial electrification growth, municipal sector load trends, and modest DSM savings. Recommendations emphasize further investigation into post-2026 electrification prospects and DSM effectiveness.

It isn’t clear that the natural gas pipeline capacity exists or that there is an opportunity 29 to expand it. NS Power has stated that its current plans to supply its current and planned 6 Exhibit N-5, Evidence of John D. Wilson (July 29,...

AI summary NS Power asserts that existing natural gas infrastructure can support its current and planned gas plants without requiring expanded pipeline capacity. It emphasizes a strategy using natural gas for peak demand periods, combined with other resources, and cites modeling showing low capacity factors for new gas units, avoiding long-term infrastructure commitments.

use natural gas to support peak periods of electric 9 demand, but in combination with other fuels and resources and does not rely on 10 development of expanded pipeline capacity. 11 Q: Should NS Power revise its load forecast to assume tha...

AI summary The text discusses whether NS Power should revise its load forecast considering customer reliance on non-electric backup systems during peak demand. While some customers retain non-electric heating, policy trends and natural gas constraints may limit their ability to maintain such systems. The Board is advised to evaluate energy delivery methods and storage solutions for peak demand, impacting future resource investment strategies.

17 kW/vehicle is more reasonable than the value E3 modeled based on data from other regions. 10 Exhibit N-1, 2023 Load Forecast Report, p. 40. 11 Exhibit N-2, CA RIR-3(a). Evidence of John D. Wilson  Matter No. M11108  July 18, 2023 Page...

AI summary NS Power's forecast for EV peak demand impact using 0.9 kW/vehicle estimates adds 240 MW by 2033. Adjusting to 0.6 kW/vehicle would reduce this by 80 MW, significantly affecting resource planning. Time-varying pricing tariffs are projected to reduce peak demand by 4 MW (2023), 12 MW (2024), and 32-36 MW annually from 2026.

tion of heating loads.18 NS Power specifically notes that 4 electrification of heating in the small general service sector will be a significant factor in 5 future load trends.19 6 Q: Do you have any concerns regarding the changes that NS...

AI summary The testimony raises concerns that NS Power overstates EV charging demand, potentially leading to oversized transformers and unnecessary capital expenditures. It also highlights a lack of consideration for smaller solar systems and heating electrification impacts in distribution planning, recommending updates to transformer sizing and voltage evaluations.

SUMMARY OF PROFESSIONAL EXPERIENCE 2023– Vice President, Grid Strategies, LLC. Provides research, technical assistance, Present and expert testimony on electric- and gas-utility planning, economics, and regulation. Reviews electric utility...

AI summary The text outlines professional experience in energy and regulatory sectors, including roles in grid strategies, regulatory policy, and advocacy. Key areas include utility planning, energy efficiency programs, renewable resource evaluation, and regulatory testimony. The individual has worked with organizations focused on clean energy, air quality, and transportation planning.

eview of Nova Scotia Power’s 2020 Integrated Resource Plan,” prepared for the Nova Scotia Consumer Advocate, NSUARB Matter No. M08059, with Paul Chernick, January 2021. “Implementing All-Source Procurement in the Carolinas,” prepared for N...

AI summary The text lists documents prepared for various regulatory matters and docket numbers, including analyses of Nova Scotia Power’s Integrated Resource Plan and procurement strategies. It references entities involved in energy advocacy and regulatory processes, highlighting stakeholder engagement in utility proceedings.

John D. Wilson  Grid Strategies, LLC Page 6 of energy efficiency in Duke Energy Carolinas and Progress Energy Carolinas’ 2009 integrated resource plans. Georgia PSC Docket No. 31081, direct testimony on behalf of Southern Alliance for Cle...

AI summary John D. Wilson of Grid Strategies, LLC provided testimony and briefings in multiple regulatory proceedings from 2009–2013, focusing on energy efficiency adequacy in integrated resource plans (IRPs) and demand-side management (DSM) plans for utilities in Georgia and South Carolina. Key issues included cost-effectiveness, stakeholder engagement, and program revisions.

uncertainty of nuclear and economic impact modeling. 2013 Georgia PSC Docket No. 36498, direct testimony on behalf of Southern Alliance for Clean Energy. Adequacy of consideration of energy efficiency in Georgia Power’s 2013 integrated res...

AI summary Testimony from Southern Alliance for Clean Energy (SACE) in 2013-2014 regulatory proceedings focused on energy efficiency adequacy in integrated resource plans, renewable energy alternatives, and capacity credit calculations for solar power. Testimonies were provided in Georgia and South Carolina PSC dockets.

John D. Wilson  Grid Strategies, LLC Page 7 2015 Florida PSC Docket No. 150196-EI, direct testimony in Florida Power & Light need certification case on behalf of Southern Alliance for Clean Energy. Appropriate reserve margin and system re...

AI summary John D. Wilson's testimony in regulatory proceedings across Florida, Georgia, and Nova Scotia addresses renewable energy integration, integrated resource plans (IRP), demand-side management (DSM), and cost classifications. Key issues include adequacy of renewable energy considerations in IRPs, decommissioning costs, and shareholder incentive mechanisms.

John D. Wilson  Grid Strategies, LLC Page 10 Nova Scotia UARB Matter No. M10366, direct testimony on Nova Scotia Power’s Annual Capital Expenditure Plan for 2022 on behalf of the Nova Scotia Consumer Advocate. Alignment with IRP and new r...

AI summary John D. Wilson of Grid Strategies, LLC provided direct testimony on Nova Scotia Power's capital expenditure plans, rate applications, and programs, emphasizing alignment with the Integrated Resource Plan (IRP), cost minimization, and analysis of deferral accounts. Testimonies covered matters in Nova Scotia and Massachusetts, including seasonal rates, economic models, and distribution revenue allocation.

1 3.0 RECOMMENDATIONS 2 3 Synapse, the CA, and the SBA provided additional recommendations for future load forecasts. 4 NS Power’s responses to those recommendations are set out below. 5 6 3.1 Synapse 7 8 Synapse provides the following rec...

AI summary The document outlines Synapse, CA, and SBA recommendations for future load forecasts, with NS Power responding that DSM benefits are evaluated via the IRP process. NS Power references their Evergreen IRP proceeding and highlights the need to validate heat pump adoption assumptions and secondary heating equipment usage in forecasts.

Page 11 of 25 2023 Load Forecast Report – Rebuttal Evidence Non-Confidential 1 housing completions was provided in Figure 16 of the Load Forecast Report and was further 2 discussed in response to NSUARB IR-03 and Synapse IR-05. 3 4 3.1.7 R...

AI summary NS Power responds to recommendations regarding EV load impacts, DSM program benefits, and solar potential. It references EV load shapes, IRP evaluations, and solar generation alignment. The response directs to the Evergreen IRP proceeding for DSM analysis.

Page 12 of 25 2023 Load Forecast Report – Rebuttal Evidence Non-Confidential 1 NS Power Response: 2 3 As discussed in Section 4.4 of the Load Forecast Report, commercial solar net metering uptake is 4 modeled based on recent trends and exp...

AI summary NS Power's rebuttal addresses questions about commercial solar net metering, RTR program expansion, and large customer DSM measures. They clarify that the Load Forecast Report does not evaluate business cases for solar or RTR, emphasizing that solar generation is assessed via the IRP process. Large customers' DSM and RTR participation are deemed outside the report's scope.

vice customers? Are they 28 implementing DSM measures to reduce load? Adding solar generation? Entering 29 into RTR contracts? Might all this reduce their loads to some degree? 30 DATE FILED: September 14, 2023 Page 13 of 25 2023 Load Fore...

AI summary NS Power addresses questions about customer load reduction efforts, including DSM measures, solar adoption, and RTR contracts, stating impacts on large general class customers are minimal. They reference IRP scenarios for electrification and savings impacts in the 2023 Load Forecast Report.

2 3.1.20 Recommendation 22: 23 24 We ask NSPI to quantify specifically the electrification and EV impacts for the 25 commercial sector and to consider how this can be moderated. 26 27 NS Power Response: 28 29 As outlined in the response to...

AI summary The document outlines regulatory recommendations and NS Power's responses. Recommendation 22 requests quantification of commercial electrification and EV impacts, which NS Power claims is already addressed using E3's work. Recommendation 23 calls for sensitivity analyses on peak mitigation technologies, which NS Power agrees to incorporate alongside existing measures like managed EV charging and time-variable pricing. The Consumer Advocate recommends using a 0.6 kW/vehicle EV charging estimate.

other appropriate proceeding to verify that transformers are 5 being sized based on the latest available information regarding EV charging loads 6 (see Recommendation 1 above). 7 8 NS Power Response: 9 10 Transformer sizing charts are used...

AI summary The CA recommends verifying transformer sizing for EV charging loads, while NS Power explains current practices and potential future adjustments. NS Power also notes updates to interconnection standards for solar systems under 100 kW and heating electrification impacts, with revisions underway in related proceedings.

mitigate system impacts related to distributed generation such as solar. Revisions to NS Power’s 32 distribution generator interconnection procedures are currently underway in proceedings related DATE FILED: September 14, 2023 Page 21 of 2...

AI summary NS Power is revising interconnection procedures for distributed generation (under 100 kW) and developing AMI-based distribution models for system impact analysis. The Small Business Advocate (SBA) recommended including low-adoption electrification scenarios and reviewing historical load data, with NS Power responding that such scenarios are already included in the Evergreen IRP update.

Page 22 of 25 2023 Load Forecast Report – Rebuttal Evidence Non-Confidential 1 NS Power Response: 2 3 NS Power agrees with this recommendation and will provide a comparison in the 2024 Load 4 Forecast Report. 5 6 3.3.3 Recommendation 3: 7...

AI summary NS Power agrees with the SBA's recommendation to address RTR load impacts in future reports and acknowledges the NSUARB's direction to adjust for an unexpected load increase from a customer switching back to NS Power services.

electrification on energy and peak demand, and the effects of new technologies (specifically the results from the Smart Grid project, direct control of water heaters and Time Varying Pricing tariffs). The Consumer Advocate filed evidence p...

AI summary The Consumer Advocate submitted evidence from John Wilson, recommending NS Power update EV charging forecasts, revise transformer sizing charts, adjust load forecasts for TVP program efficacy, clarify SAE model assumptions, and modernize distribution planning to account for solar and electrification impacts.

NS Power update the distribution system planning methods and practices to account for the impacts of small scale solar and electrification of heating loads, particularly for the small general sector. The SBA raised concerns about forecasti...

AI summary NS Power seeks to update distribution planning methods for small-scale solar and heating electrification. The SBA raised concerns about forecasting accuracy, RTR load impacts, and EV adoption rates. Synapse recommended improvements to load forecasting, including empirical validation and scenario modeling.

2023 M11108 NOVA SCOTIA UTILITY AND REVIEW BOARD IN THE MATTER OF: The Public Utilities Act - and - IN THE MATTER OF: Nova Scotia Power Incorporated (“NS Power”) 10 - Year Energy and Demand Forecast (2023 Load Forecast Report) NON-CONFIDEN...

AI summary Synapse Energy Economics Inc. requests non-confidential information from Nova Scotia Power Inc. (NS Power) regarding their 10-Year Energy and Demand Forecast (2023 Load Forecast Report) under the Public Utilities Act. Responses are due by June 20, 2023, with copies to be submitted in both electronic and hard copy formats.

Document #:303618 Date Filed: May 25, 2023 Synapse (NSPI) Page 12 of 18 1 a. Please provide more details about the use of interval data to understand peak loads at the 2 class level. 3 b. Please indicate specifically how many more years of...

AI summary The document contains a series of requests from a regulatory body to NSPI regarding data collection methods, AMI coverage, peak load analysis, sensitivity analysis variables, and IRP comparisons. Questions focus on interval data use, DSM impact, smart meter data schedules, and statistical distributions for sensitivity analysis.

ow the evergreen IRP analysis might affect future 30 loads. 31 b. For comparison with the previous forecast please provide values for 2032 in Figure 68. 32 33 34 Request IR-34:

AI summary The text references an 'evergreen IRP analysis' and requests comparative 2032 data from Figure 68. It focuses on forecasting methodology and the impact of integrated resource planning on future load projections, though no specific claims or entities are explicitly mentioned.

Document #:303618 Date Filed: May 25, 2023 Synapse (NSPI) Page 13 of 18 1 Appendix A: Forecast 2 a. Please provide in electronic format the specific calculations used to create the values in 3 Tables A1, and A2. 4 b. Please explain the his...

AI summary The document outlines requests for detailed data and calculations related to residential and small general service models in Nova Scotia's Integrated Resource Plan (IRP). It seeks transparency on historical trends, statistical models, end-use intensity data, and collaboration between NSPI and E1. The focus is on ensuring accurate forecasting and model assumptions for energy planning.

tronic form. 28 b. Please provide the full set of Oracle input data in electronic format so that it can be 29 replicated. 30 c. Please provide the historical data and forecasts used to develop the probability 31 distributions for each vari...

AI summary The document includes requests for data and reports related to electrification support and forecast improvements. Nova Scotia Power (NSP) committed to addressing intervenor concerns by incorporating multi-station weather analysis, peak sensitivity studies, and electrification impact assessments into future forecasts.

s. It will investigate and 17 include commercial and industrial electrification impacts after 2027. NS Power will 18 evaluate the findings from the recent Itron Report on the impact of heat pumps. 19 Information from the SGNS project and w...

AI summary NS Power will evaluate heat pump impacts, update EV adoption forecasts, and consider ELCC adjustments. It will revise DR estimates in the IRP Action Plan, explore hybrid heating scenarios, and clarify DSM allocation. The model uses a COP of 2.3 for heat pumps, with ongoing DR stakeholder consultations. NS Power disagrees with some intervenor requests in its reply submission.

re it can incorporate the development of large-scale hydrogen in the load 27 forecast? 28 b) Given the legislative regime related to green hydrogen is now in place, and EverWind 29 Fuels has made public statements about striving to be in p...

AI summary The text raises questions about NSP's ability to incorporate green hydrogen into load forecasts, the impact of delayed hydrogen planning on energy needs, and the inclusion of hydrogen scenarios in the IRP Evergreen process. It also asks about NSP's knowledge of customer electrical panel sizes, electrification-driven service upgrades, and the adequacy of sensitivity analyses for distribution energy demand.

Date Filed: May 30, 2023 CA (NS Power) Page 2 of 6 1 (a) Please provide the system-coincident unmanaged peak impact per vehicle for 2022. In 2 other words, perform the same calculation for the system peak hour or, ideally, for the 3 top te...

AI summary The document includes requests to NS Power regarding EV charging impact calculations, distribution planning considerations for EV and solar growth, and verification of TVP's exclusion from the 2023 Load Forecast. It seeks clarification on AMI technology's timeline for reducing system peak demand and examines peak event timing during winter periods.

1 2023 M11108 2 3 NOVA SCOTIA UTILITY AND REVIEW BOARD 4 IN THE MATTER OF: The Public Utilities Act, RSNS 1989, c.380, as amended (PUA) 5 IN THE MATTER OF: Nova Scotia Power Incorporated’s 2023 Load Forecast Report 6 7 8 INFORMATION REQUES...

AI summary The Industrial Group has submitted two information requests to Nova Scotia Power Incorporated (NSPI) regarding its 2023 Load Forecast Report. The first requests clarification on whether cost allocation is based on actual or forecasted energy and peak demand. The second inquires about the inclusion of new facilities in mining, manufacturing, and commercial-scale green hydrogen production in Cape Breton within the load forecast.

ow much of this BNI curtailment is done by programs provided by E1? Please describe 26 all the programs E1 provides that contribute to this curtailment forecast. 27 c) Please discuss in detail and provide data supporting the BNI curtailmen...

AI summary The text includes requests for information on BNI curtailment programs, historical peak predictions, and integration of extreme scenarios in NS Power's planning. Questions focus on data supporting BNI curtailment forecasts, regression model accuracy, and system planning for extreme load scenarios.

n Requests to Nova Scotia Power Inc. (NS Power) In the Matter of Nova Scotia Power Incorporated’s 2023 Load Forecast Report – M11108 NON-CONFIDENTIAL 1 “The peak impact assumes that 70 percent of charging is managed by NS Power (including...

AI summary The document contains requests to NS Power regarding their 2023 Load Forecast Report, focusing on assumptions about managed EV charging (70% managed, 30% unmanaged), future EV adoption programs, and a request for revised data breakdown in Figure 31. Questions address rationale, jurisdictional references, and assumptions about rate structures and load control.

tes 827 GWh of EV load by 2032, whereas the 2022 edition only included 510 GWh by 2032 4 • Peak load has nearly doubled from a 2022 value of 89 MW in 2032 to a 2023 value of 173 MW in 2032 5 • NS Power notes that the 2022 Load Forecast dem...

AI summary NS Power's 2023 load forecast shows increased commercial sales due to EV allocation and higher peak loads, but lacks assumptions about electrification incentives. The SBA warns that excluding current incentive impacts risks overestimating electrification's short-term effects, potentially misguiding IRP capital planning and rate class allocations. The SBA recommends including a lower electrification scenario in analyses.

NS Power update the distribution system planning methods and practices to account for the impacts of small scale solar and electrification of heating loads, particularly for the small general sector. The SBA raised concerns about forecasti...

AI summary NS Power seeks to update distribution planning methods for small-scale solar and heating electrification. The SBA raised concerns about forecasting accuracy, customer survey reliability, and RTR load impacts. Synapse highlighted improvements but recommended scenario modeling, empirical validation, and sensitivity analysis for future forecasts.

priate because the current sample group charging data shows that EV load demand is variable. Therefore, a better understanding of EV’s effect on peak is needed before results from the sample can be confidently applied to the forecast. The...

AI summary The Board emphasizes the need for better understanding of EV load variability and system impacts under low electrification adoption scenarios. It directs NS Power to address RTR service withdrawal concerns and improve stakeholder engagement in load forecasting. The Board also highlights the importance of evaluating DSM benefits and ensuring service reliability during generation shortfalls.