Topic:"Renewable Energy" in M11108

red by Hour per EV ............................................... 42 31 Figure 29: Peak Demand of ChargePoint EV Charging Fleet ...................................................... 43 32 Figure 30: EV Impact to Energy and Peak Forecasts...

AI summary The document contains a list of figures related to energy demand forecasting, EV charging impacts, solar PV effects, battery potential, residential and commercial electrification trends, and historical vs projected electricity prices. The text is redacted, with confidential information removed, and spans multiple pages of analysis.

erage annual increase of 0.7 14 percent. Annual historic and forecast NSR are shown below in Figure 1. 15 16 Figure 1: Historical and Predicted Annual Net System Requirement 17 18 DATE: April 28, 2023 Page 7 of 98 REDACTED (CONFIDENTIAL IN...

AI summary NS Power's 2023 Load Forecast Report projects a 0.7% annual increase in Net System Requirement (NSR) and a 2.3% annual rise in system peak demand, driven by customer growth, electrification, and EV adoption. Demand Side Management (DSM) and Demand Response (DR) programs are expected to mitigate some of this growth.

. 26 • A summary of the Smart Grid and Demand Response projects is provided in 27 Sections 4.4 and 10. 28 • A discussion of the economic inputs, including housing completions and median 29 income, is provided in Section 4.3. 30 4 Ibid, pag...

AI summary NS Power held a stakeholder session on March 31, 2023, discussing updates to the 2023 Load Forecast, including impacts of COVID-19, EV growth, space heating, peak temperature assumptions, renewable-to-retail effects, and small-scale solar trends. The session addressed stakeholder questions about a new system peak set in February 2023.

1 4.0 DISCUSSION OF MAJOR INPUTS 2 3 4.1 Historical Class Sales and Energy Data 4 5 The Load Forecast is developed using NS Power’s “billed” sales rather than “accrued” 6 sales. Billed sales refer to the amount of energy billed to customer...

AI summary The Load Forecast uses 'billed' sales data for residential, commercial, and industrial sectors, with varying historical periods. The Renewable to Retail (RtR) market, established in 2016, allows licensed retailers to sell renewable energy directly to customers, with a third-party application pending approval by NSUARB.

n has been submitted by 26 a third party to the NSUARB for approval as a Licensed Retail Supplier (LRS) to provide 27 service under the RtR tariffs starting in 2023. 8 The service is forecast to produce 130 GWh 8 The effective date for sal...

AI summary A third party applied to the NSUARB for a Licensed Retail Supplier (LRS) under RtR tariffs starting in 2023. The license includes conditions preventing sales until the effective date set by the Governor in Council under the Electricity Act, section 3C(1).

1 Solar Generation (PV) 2 3 Solar generation consists of two main types – distributed small-scale solar (mainly rooftop) 4 that falls under NS Power’s net metering program, and small- to large-scale generation that 5 is fed directly onto t...

AI summary The document discusses the growth of solar generation in Nova Scotia, including distributed and large-scale installations, their impact on load forecasts, and the influence of rebate programs and legislation. It estimates future solar capacity and notes that solar generation does not reduce peak demand due to timing differences.

s shown in Figure 21 31. There is no forecast reduction in NS Power peak, as solar generation occurs at times 22 non-coincident with NS Power’s system peak (winter evenings). 23 17 NS Power, 2023 Net Metering Report, January 31, 2023. 18 h...

AI summary The text discusses the lack of forecast reduction in NS Power peak due to solar generation not aligning with system peak times. It references the 2023 Net Metering Report and a solar rebate program with updated rates as of January 6, 2022.

) 2023 Load Forecast Report REDACTED 1 Figure 31: PV Impact to Energy (cumulative) 2

AI summary The document presents a redacted section of the 2023 Load Forecast Report, specifically Figure 31, which illustrates the cumulative impact of photovoltaic (PV) systems on energy.

Total New Year Load (GWh) Peak (MW) Installs 2023 2,268 -24 0 2024 4,876 -51 0 2025 7,875 -82 0 2026 11,324 -112 0 2027 15,290 -152 0 2028 19,852 -197 0 2029 25,097 -249 0 2030 31,130 -309 0 2031 37,777 -376 0 2032 45,120 -449 0 2033 53,23...

AI summary The document outlines projected load growth and peak demand from 2023 to 2033, noting minimal impact from distributed solar and battery storage due to high battery costs. It highlights that gas generators are currently more cost-effective than batteries for residential use, though new pricing mechanisms may encourage battery adoption.

t-effective solution. The new critical peak pricing (CPP) and TOU rates currently being 14 piloted might start to encourage battery installation either alone or in conjunction with solar 15 panels, but the initial costs associated with bat...

AI summary The document discusses the potential of new critical peak pricing (CPP) and time-of-use (TOU) rates in encouraging battery installation, either alone or with solar panels. However, it notes that initial battery costs are high, and while improvements in technology may reduce these costs over time, timelines for significant changes are uncertain.

1 The impact of battery storage is being explored through the SGNS project, which will 2 include data collection from both stand-alone battery backup and PV/battery combinations. 3 EV smart charging and using EV batteries (vehicle-to-grid...

AI summary The SGNS project is exploring the impact of battery storage, including stand-alone and PV/battery combinations, as well as EV smart charging and V2G technology. Early data on peak mitigation from residential battery uptake scenarios is being analyzed, with refinements expected as the project progresses.

Page 46 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 The impacts of technologies related to direct load control (DLC) of heating and hot water 2 loads are discussed in Section 10. 3 4 Intensities 5...

AI summary The document discusses the modeling of residential end-use intensities, including electric heating, cooling, water heating, lighting, and other appliances. It also mentions the inclusion of photovoltaic (PV) and electric vehicle (EV) forecasts in the 'Other' category to illustrate their impact relative to other end uses.

l as smaller appliances such as computers, dehumidifiers, 26 microwaves, etc. This category also includes solar generation (photovoltaic or PV) 27 and EV forecasts. 28 DATE: April 28, 2023 Page 47 of 98 REDACTED (CONFIDENTIAL INFORMATION R...

AI summary The document discusses residential and commercial end-use intensities, highlighting trends such as increased use of heat pumps, changes in electric baseboard heating, and the impact of EV load and PV generation. Supporting data is referenced in Attachment 1.

1 7.4 Municipal 2 3 The Municipal class comprises municipal electric utilities that purchase wholesale 4 electricity from NS Power and distribute it within their own service territories. Utility loads 5 within these municipalities include...

AI summary The Municipal class includes municipal electric utilities that purchase wholesale electricity from NS Power and distribute it within their service territories. Since 2007, these utilities have had the option to source electricity from third-party providers through the Open Access Transmission Tariff (OATT). Some utilities have shifted to 100% third-party supply, reducing their load, but NS Power must still provide backup capacity for these utilities.

sectors can be found in Appendix A. 22 DATE: April 28, 2023 Page 74 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 Figure 54: Historical and Forecast Annual NSR 2 3 4 5 Figure 55 provides a breakdown...

AI summary The 2023 Load Forecast Report presents historical and forecast annual NSR data, along with a breakdown of forecast components from 2023 to 2033, including contributions from residential, commercial, industrial, and other sectors, as well as factors like solar, EV, and DSM.

REMOVED) 2023 Load Forecast Report REDACTED 1 Figure 64: Weather-Normalized Firm Peak (including DR) 2 3 4 5 Figure 65 below shows the breakdown of the peak forecast by the various components. 6 7 Figure 65: Peak Contribution Components (M...

AI summary The 2023 Load Forecast Report provides a breakdown of peak contribution components, including modeled peak, residential heating, EV impact, demand response, commercial and industrial loads, large customers, DSM programs, and system peak. The report compares forecasted values for 2023 and 2033, with and without EV mitigation.

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.

he residential model (including heat pump programs inside the SAE model). Adjustments done outside the regression include estimates for other commercial and industrial growth programs, PV, EV and DSM. Historically the XHeat, XCool and XOth...

AI summary The document discusses the residential load model, including adjustments for EV, solar, and DSM programs. It outlines the regression model used to calculate load from existing average use and customer count forecasts, highlighting changes from 2023 to 2033.

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.

. REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Appendix E Page 13 of 21 Other • RTR participation is expected to start in 2024 with wind farm being built in 2023 totaling 33.6MW or approximately 130 GWh of annual g...

AI summary The document discusses the expected increase in renewable energy generation, particularly from wind and solar sources, and highlights changes in legislation affecting solar adoption. It also notes the impact of weather and pandemic-related factors on residential load forecasts and customer growth.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Consumer Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-8: 2 3 Reference: Exhibit N-1, Figure 42; Exhibit N-1, M10569, Figure 40. 4 5 Relative to the 2022 Load Foreca...

AI summary NSPI explains increases in 2023 residential sales forecasts due to higher housing completions, solar growth from rebates and program changes, and a shift in DSM attribution explained by regression model coefficients. The response cites prior filings and references methodological adjustments in load forecasting.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to EfficiencyOne Information Requests NON-CONFIDENTIAL 1 Request IR-7: 2 3 Reference: M10872. Commercial Net Metering. NS Power Closing Submission. Page 10, 4 Lines 16-18. 5 6 “Follo...

AI summary EfficiencyOne requested details on how NSPI accounted for paused commercial solar net metering projects in the 2023 Load Forecast. NSPI responded that historical participation for projects over 27 kW was minimal (<2%), but the new 1 MW capacity limit under the Commercial Net Metering Program is expected to increase interest in larger projects.

g the 29 expanded capacity limit of up to 1 MW under the Commercial Net Metering (CNM) 30 program will increase interest, NS Power anticipates projects greater than 27 kW will grow Date Filed: June 20, 2023 NSPI (EOne) IR-7 Page 1 of 2 202...

AI summary NSPI anticipates that expanding the Commercial Net Metering (CNM) program's capacity limit to 1 MW will increase participation for projects over 27 kW to ~10% of installations. The program's unavailability since April 2022 has delayed applications, with timelines extending into 2024 and beyond.

NSPI (SBA) IR-2 Page 1 of 1 2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Small Business Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-3: 2 3 Please reference Figures 28 and 29. 4 5 (a) How does the charging dat...

AI summary NSPI responds to Small Business Advocate requests regarding the 2023 Load Forecast Report, addressing discrepancies between Smart Grid Nova Scotia pilot data and E3's assumptions, and referencing Commercial Net Metering protocols from Matter M10872. Responses note behavioral differences in EV charging data and defer detailed solar generation impacts to EOne IR-7.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Small Business Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-8: 2 3 Please reference Page 38-43, EV Sales Forecast. 4 5 (a) Please confirm that the 2023 Load Forecas...

AI summary NSPI confirms the 2023 Load Forecast Report does not incorporate EV sales growth tied to federal targets or incentive levels. No sensitivity analysis was conducted on incentive-driven sales. Shortfalls in EV adoption are unlikely to significantly impact near-term planning due to the small scale of current EV loads, though long-term IRP processes will monitor changes.

0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.1 0.2 0.1 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 Shares (%) Electricity – – – – – – – – – – – – – – – – – – – – Natural Gas 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.6 0.3 0.4 0.6 0.7 0.8 1.0 1.0 1.1 1.2 Heat...

AI summary The table presents the distribution of shares and GHG intensity across various energy sources over time. It shows the percentage shares of electricity, natural gas, heating oil, other, and wood, along with the corresponding GHG intensity in tonnes per TJ for each year.

0.0 0.0 0.0 0.0 Other2 2.2 2.9 2.8 3.2 3.1 4.7 4.9 3.9 4.2 4.1 4.1 2.8 2.7 2.5 2.4 2.7 2.9 2.6 0.5 0.4 Wood 2.0 1.4 1.2 1.2 1.6 1.9 1.9 2.0 1.9 2.0 1.7 1.7 2.0 2.6 2.8 3.0 3.3 3.2 3.2 3.1 Dual Systems Wood/Electric 5.2 4.6 4.1 4.0 5.3 6.1...

AI summary The text presents numerical data on energy usage and greenhouse gas (GHG) intensity across various fuel types and systems in Nova Scotia. It includes metrics such as GHG intensity, heat gains, and energy consumption for different fuel combinations like wood, electric, and heating oil. The data spans multiple years and provides insights into energy trends and environmental impact.

(thousands) 24.8 25.0 25.3 25.9 26.3 26.8 27.4 27.9 28.4 28.9 29.5 30.1 30.7 31.3 31.8 32.2 32.6 33.5 34.1 34.7 Type (thousands) Heating Oil – Normal Efficiency 6.6 6.1 5.4 4.9 4.5 3.8 3.2 2.7 2.3 1.8 1.4 1.0 0.7 0.5 0.0 0.0 0.0 0.0 0.0 0....

AI summary The text presents data in thousands, showing trends for various energy types including Heating Oil (Normal, Medium, High Efficiency), Natural Gas (Normal, Medium, High Efficiency), Electric, and Heat Pump usage over time, with values decreasing and increasing respectively.

0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.2 0.1 0.1 0.1 0.1 Shares (%) Electricity – – – – – – – – – – – – – – – – – – – – Natural Gas 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.6 0.3 0.4 0.6 0.7 0.8 1.0 1.0 1.1 1.2 Heat...

AI summary The document presents data on the distribution of energy sources and their corresponding greenhouse gas (GHG) intensity over time. It shows the percentage shares of electricity, natural gas, heating oil, other fuels, and wood, along with GHG intensity measurements in tonnes per terajoule (TJ) for each period.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Shares (%) Electricity – – – – – – – – – – – – – – – – – – – – Natural Gas 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9 0.6 0.3 0.4 0.6 0.7 0.8 0.9 1.0 1.0 1.1 Heat...

AI summary The text presents data on the distribution of shares among different energy sources (Natural Gas, Heating Oil, Wood, and Others) over time, along with GHG Intensity measurements in tonnes per TJ. The data shows fluctuations in the share of each energy source and a general decline in GHG Intensity over the years.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Shares (%) Electricity – – – – – – – – – – – – – – – – – – – – Natural Gas 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9 0.6 0.3 0.4 0.6 0.7 0.9 1.0 1.1 1.1 1.3 Heat...

AI summary The text presents data on the distribution of shares and GHG intensity across various energy sources over time. It shows the percentage distribution of electricity, natural gas, heating oil, other, and wood, along with GHG intensity measurements in tonnes per TJ for each year.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Shares (%) Electricity – – – – – – – – – – – – – – – – – – – – Natural Gas 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.1 0.6 0.4 0.4 0.7 0.8 1.0 1.2 1.2 1.3 1.5 Heat...

AI summary The document presents data on the distribution of energy sources and greenhouse gas (GHG) intensity over time. It shows the percentage shares of electricity, natural gas, heating oil, other fuels, and wood, along with corresponding GHG intensity measurements in tonnes per terajoule (TJ). The data indicates a shift in fuel usage and a decrease in GHG intensity over the years.

43.3 43.9 44.3 43.6 40.7 38.8 40.2 41.9 42.1 42.0 43.2 44.0 41.3 38.0 36.2 36.0 32.9 32.9 33.8 33.8 Heating Degree-Day Index 0.94 0.94 0.97 0.99 1.02 0.94 0.83 0.81 0.99 1.02 0.89 0.95 0.83 0.87 0.98 1.04 0.96 1.04 0.96 1.00 Cooling Degree...

AI summary The text presents numerical data on heating and cooling degree-day indices, along with tables summarizing secondary energy use and GHG emissions by energy source, end use, and activity type in the Commercial/Institutional Sector. It references a 2023 Load Forecast Report and includes a note about GHG emissions data excluding electricity production.

G Emissions Summary Tables by End Use Table 24: Space Heating Secondary Energy Use and GHG Emissions by Energy Source Table 25: Space Heating Secondary Energy Use and GHG Emissions by Activity Type Table 26: Water Heating Secondary Energy...

AI summary The text presents a series of tables detailing secondary energy use and greenhouse gas (GHG) emissions by end use, energy source, and activity type across various sectors such as space heating, water heating, auxiliary equipment, lighting, and space cooling. Additional tables break down energy use in wholesale trade, retail trade, transportation, and information and cultural industries.

ooling 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 32.6 34.0 31.8 32.3 36.0 34.4 35.3 29.4 26.5 21.7 22.1 25.7 26.2 24.9 22.4 23.9 16.8 20.7 17.5 18.1 1) Data on GHG emissions ar...

AI summary The text provides GHG intensity data and energy use statistics for the Health Care and Social Assistance sector in the Commercial/Institutional sector, with data spanning from 2000 to 2019. It excludes GHG emissions related to electricity production and is part of a 2023 Load Forecast Report.

ooling 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 32.2 33.9 31.5 32.2 35.7 34.3 35.0 28.6 25.9 21.0 21.9 25.2 26.0 24.8 22.1 23.9 22.6 18.3 15.4 15.6 1) Data on GHG emissions ar...

AI summary The text presents data on GHG emissions intensity and energy use in the Commercial/Institutional Sector, specifically in the Accommodation and Food Services subsector, across multiple years. The data excludes emissions related to electricity production and is part of a 2023 Load Forecast Report.

0.2 0.2 0.2 0.2 0.2 0.1 0.2 0.2 0.2 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 GHG Intensity (tonne/TJ) 57.1 59.5 54.6 59.4 60.0 62.0 63.4 54.6 53.2 49.2 55.6 54.0 52.2 53.2 49.6 50.7 47.5 43.7 41.3 40.8 Heating Degree-Day Index 0.95 0.95...

AI summary The text presents data on GHG emissions intensity and heating degree-day index over time, excluding electricity production emissions. It also references a table detailing space heating energy use and GHG emissions by activity type in the commercial/institutional sector for Atlantic Canada.

roduction. 2) “Offices” includes activities related to finance and insurance; real estate and rental and leasing; professional, scientific and technical services; public administration; and others. Office of Energy Efficiency, Demand Polic...

AI summary The text discusses the Commercial/Institutional Sector in the context of auxiliary motors' secondary energy use and GHG emissions by activity type, as presented in Table 30 of the 2023 Load Forecast Report by Synapse IR-6 Attachment 2.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 Shares (%) Electricity 92.3 92.0 92.3 92.1 91.2 90.9 90.5 91.3 91.2 92.4 92.1 92.3 92.4 92.1 92.4 92.3 96.0 90.1 90.1 90.1 Natural Gas 0.0 0.0 0.0 0.0 0.0 0.0...

AI summary The text presents a table showing the percentage of shares attributed to different energy sources over time, with electricity consistently holding the highest share, followed by other categories such as light fuel oil, heavy fuel oil, steam, and other. Natural gas is not represented in the data.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Shares (%) Electricity 94.3 94.1 94.3 93.7 92.7 92.4 92.1 92.8 92.7 94.5 94.3 94.5 94.5 94.3 94.5 94.5 97.2 92.8 92.8 92.8 Natural Gas 0.0 0.0 0.0 0.4 0.4 0.4...

AI summary The text presents a table showing the distribution of shares across various energy sources over time, with electricity comprising the majority of shares, followed by natural gas and other categories. The data reflects changes in energy consumption patterns across different periods.

the metrics discussed above, Synapse also recommended that NS Power post, on its website, a monthly report about the solar garden's performance, including the following information: • total generation and average generation per kW for each...

AI summary Synapse recommended that NS Power post monthly reports on the solar garden's performance, including generation data and equipment details. NS Power agreed but proposed to include the information in its semi-annual Smart Grid Project Reporting to the Board instead. The Board accepted this proposal.

array of energy resources including solar photovoltaic (PV) and other generators, battery storage, commercial and industrial loads, smart water heaters, electric vehicle (EV) chargers, and microgrids. • Solution Designs continue to be revi...

AI summary The document outlines ongoing efforts by Siemens and NS Power to integrate various energy resources, including solar photovoltaic systems, battery storage, and smart devices, into the Energy System Platform (ESP). Integration progress includes completed and ongoing conformance testing, with revisions to solution designs and user guides.

. REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 7 of 205 January 31, 2023 C. Henwood same use case schedule as the smart charging pilot, leading up to the replacement with the...

AI summary The document outlines the progress of EV charging infrastructure projects, including the deployment of bi-directional chargers, delays in procurement, and the exploration of alternative charging solutions to support use case testing and home backup capabilities.

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.

ries to make sure the issue is resolved. • Tesla installations continue to be onboarded into Tesla Powerhub for full utility control and visibility. Tesla integration with ESP is ongoing. COMMERCIAL AND INDUSTRIAL SOLAR + BATTERY • All thr...

AI summary The document outlines progress on Tesla Powerhub integration, the commissioning of commercial and industrial solar + battery sites, and the implementation of building management systems (BMS) for energy optimization. Integration with the Energy System Platform (ESP) is ongoing, with testing and as-built drawings completed for multiple sites.

. REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 14 of 205 January 31, 2023 C. Henwood Phase 2 progress during the reporting period included: • Refinement of pilot design eleme...

AI summary Phase 2 of a pilot project is ongoing, with efforts focused on refining customer agreements, DR event criteria, incentives, and baseline methodology. NS Power is submitting reports to the Strategic Innovation Fund (SIF) as part of its funding commitments, including several confidential and non-confidential appendices.

teries First Use Case Test Event ESP Integration Battery 1 Recruitment Solar Garden Generating Energy for Customers Deployment ESP Integration Battery 2 First Renewable Generation Following Use Case Test Event Community Solar Garden Constr...

AI summary The text outlines various use case test events and integration projects involving renewable energy, battery storage, and building management systems, with a focus on community solar gardens and C&I (commercial and industrial) solar plus battery installations.

ty, through a DERMS. Potential technical and economic benefits associated with a DERMS solution are expected to provide value and benefit to all customers, regardless of participation in DER programs. Included in the SGNS Compliance Filing...

AI summary NS Power is implementing a DERMS solution as part of the SGNS project, with testing underway since 2021. The report outlines modifications to testing plans, including the addition of data collection for C&I customer demand reduction under EV V2G chargers. A financial model is being developed based on collected data.

ndicates that the 22:00 to 23:00 period is the highest consumption throughout the reporting period. Figure 2 – ev.energy Data Baseline Plot – June 14 to December 31, 2022, by Hour (Counterfactual) Page 8 of 48 . . REDACTED (CONFIDENTIAL IN...

AI summary The text discusses data from ev.energy, showing peak electricity consumption during late evening hours and the timing of vehicle charging sessions. It highlights managed and unmanaged charging patterns, including 'boosted' charging, and provides insights into EV charging behavior.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 2 Page 13 of 48 Attachment 2 – SGNS Use Case Testing Update Report PEAK EV C HARGER D EMAND Understanding peak EV charger demand from the fleet of chargers under study in the project p...

AI summary This report discusses peak EV charger demand observed in the SGNS program, noting a peak of 171.1 kW on March 1, 2022, and a more recent peak of 145.8 kW on December 10. The report highlights the fluctuation in charger availability and the potential curtailment capacity of the program.

id not surpass the peak from the previous period, as noted above and in the July 2022 report. Figure 9 – Screen Capture of the Peak Demand (171.1 kW) seen by ChargePoint EV Charging Fleet, to Date Page 13 of 48 . . REDACTED (CONFIDENTIAL I...

AI summary The document discusses peak demand data from the ChargePoint EV Charging Fleet, including a peak of 171.1 kW and a later peak of 145.81 kW, with the latter influenced by the ev.energy algorithm shifting charging times. Testing events involving ChargePoint chargers are also described.

charger on January 25, 2021 and continued as chargers were available to be added, with up to 61 involved by December 31, 2021. A larger testing group was planned; however, the charge control issue Page 14 of 48 . . REDACTED (CONFIDENTIAL I...

AI summary The report discusses challenges with EV charger testing, particularly with Tesla vehicles, and the transition to the ev.energy platform. Issues such as defective units, customer changes, and Wi-Fi reliability impacted the number of available chargers. Testing expanded to include the entire registered fleet, with 108 vehicles participating by the end of the reporting period.

ese figures would remain relatively unchanged for all chargers that are participating in a smart charging program and receiving an event. 2 Detailed in the July 2021 Semi-Annual Report. Page 15 of 48 . . REDACTED (CONFIDENTIAL INFORMATION...

AI summary The text discusses the use of ChargePoint EV chargers in a smart charging program, referencing event counts and dispatches since January 2021. It includes a figure and table summarizing event data for various EVSE units and their use-case testing.

(kW) 0.99 0.97 1.04 0.83 1.00 Estimated Average Shed per Event per Opt-in and Charged (kW) 5.3 5.2 4.0 5.4 4.7 Page 16 of 48 . . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page...

AI summary The text presents data on load shedding and EVSE use-case summaries, including event dates and periods, from a Smart Grid Semi-Annual Report and a Load Forecast Report. It includes statistical data on kW and average shed per event, along with details on EVSE use cases.

t opportunity that a level 2 charger provides during periods where a vehicle is actively charging. Figure 14 – Power Shed Opportunity of Vehicles that are Actively Charging versus Event Start Time E V S E1 – LOAD LEVELING, D AY AHEAD GENER...

AI summary The document discusses load leveling use cases for EVSE1 and EVSE2, focusing on power shedding opportunities during vehicle charging events. EVSE1 curtails charging to 25% or 50% of nominal charge, with an estimated shed of 0.99 kW per event. EVSE2, introduced later, also curtails charging during intra-day economic dispatch events, with a shed of 0.97 kW per event.

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.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 2 Page 24 of 48 Attachment 2 – SGNS Use Case Testing Update Report Figure 21 – NS Power 72-hour Wind Forecast and Corresponding ev.energy Grid Signal In the initial test, or minimum vi...

AI summary The document discusses early results from the ev.energy Wind Following Use Case, showing inconclusive outcomes from managed charging compared to unmanaged charging. The scheduling algorithm is influenced by user-selected 'ready by' times, making it difficult to correlate results with forecast wind generation during specific periods.

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.

’ (39.6 kW) readings; this demonstrates the discharge. The bottom graph (‘Charger Power / SOC’) depicts the 5.1 kW discharge, immediately followed by a charging session to return the battery’s SOC. Page 31 of 48 . . REDACTED (CONFIDENTIAL...

AI summary This section describes the testing of the Modified Intermittent Renewable Generation Following use case for Coritech, which involves adjusting EV charging and discharging based on forecasted wind generation to optimize energy consumption during periods of high wind generation.

s power flow from the EV to the building, and a positive power command represents power flow from the building to the EV. Table 5 – EVSE4 Power Command Bands based on Forecasted Wind Generation Forecasted Wind Power Generation Command (kW)...

AI summary The document discusses EVSE4 power command bands based on forecasted wind generation, testing charge and discharge rates during specific wind generation hours. EVSE4 events have not been executed for the Fermata bi-directional charger, and manual control is expected in Q1 2023.

t course of business may provide additional insight for this use case to be presented in future reporting. The application of this use case will also be further evaluated throughout testing in 2023. E V S E8 – PARTIAL OR WHOLE HOME B AC KU...

AI summary The document discusses the evaluation of EVSE use cases, including partial or whole home backup and C&I customer demand reduction. Testing was conducted using Coritech and Fermata units, with further evaluation planned for future phases. The C&I use case involved discharging EVs during peak demand periods to reduce demand charges.

availability. This will be followed by alignment to NS Power’s time-of-day rate (i.e. rate 06B) for automatic execution of curtailment events during on-peak hours through ESP. No results to report. S V / P W4 – INTERMITTENT RENEWAB LE GENE...

AI summary The text discusses use cases for managing renewable energy and grid stability, including aligning with time-of-day rates, following intermittent renewable generation, and providing generation contingency support through residential battery dispatch. These initiatives aim to optimize energy consumption and support grid reliability.

or zero export mode was also implemented and tested during this reporting period. Early integration conformance testing is underway; however, no ESP-driven use case testing has been executed to date. 3.5. C&I SOLAR PV All three C&I sites w...

AI summary The document discusses the implementation and testing of zero export mode for C&I solar PV sites, ongoing integration work for community solar gardens, and the use of BMS for customer notification and event management. Integration testing and database updates are pending, with future analysis planned.

ntrol signal latency (seconds) • System load (MW) $/kWh) be compared with system to achieve a scheduled curtailment • Intra-day generation planning Capacity Pilot 1/R2b target charge rate • Time varying curtailment or • EVSE response time...

AI summary The text discusses metrics related to EVSE response times, system load, and curtailment in the context of V2G operations. It includes topics such as capacity, pilot programs, and deferred T&D system upgrades.

$/kWh) (V2G). • Expected and/or forecasted EVSE curtailment kW versus actual curtailment kW (%). • Aggregated discharge capacity (kW) (V2G) uninfluenced charging) requirements • Available discharge power versus actual discharge power (%) m...

AI summary The text outlines key performance metrics related to electric vehicle supply equipment (EVSE) and vehicle-to-grid (V2G) systems, including expected versus actual curtailment, aggregated discharge capacity, and available versus actual discharge power.

• Available discharge power versus actual discharge power (%) measured for V2G.

AI summary The text discusses the comparison between available discharge power and actual discharge power in the context of Vehicle-to-Grid (V2G) systems, measured as a percentage.

• Aggregated EV charger load (kW) • Connection Status & Alarm Status - The availability of EVSE for control during each test (including EV Smart Chargers • Aggregated load curtailed (kW) Intermittent Renewable communication to the chargers...

AI summary The text discusses the monitoring and control of EV smart chargers, including aggregated load, connection status, communication latency, and curtailment of EVSE charge. It also touches on renewable integration and the value of curtailed load.

latency (seconds) • Value of load curtailed ($/kW, convenient (charging times will & power (kW) by control of • EVSE Control Variable Input: SGNS PV garden levels until renewables output Capability renewable generation output • EVSE contro...

AI summary The text discusses technical aspects of electric vehicle supply equipment (EVSE) control, including latency, response time, and the value of load curtailed and discharge capacity. It references renewable generation output and how EVSE control variables interact with renewable energy thresholds and deferred transmission and distribution systems.

setpoint after receiving signal (seconds) • Value of discharge capacity ($/kW, output to understand impact of EV V2G Chargers • V2G discharge • EVSE Control Variable Input: NSPI aggregated wind discharge capabilities Upgrades EVSE4 • Expec...

AI summary The text discusses metrics related to electric vehicle supply equipment (EVSE) and vehicle-to-grid (V2G) discharge capabilities, including setpoint response times, discharge capacity values, and performance comparisons between expected and actual curtailment and discharge power.

• Available discharge power versus actual discharge power (%) measured for V2G

AI summary The document discusses the comparison between available discharge power and actual discharge power in the context of Vehicle-to-Grid (V2G) systems, measured as a percentage.

Customer charges as • Curtailment of EVSE charge • Value of load curtailed ($/kW, Further leverage EVSE out-of-the- Cold Load Pickup Relief • Net residential load (kW) convenient (document impact power (kW) by control of • Time delay (resp...

AI summary The text discusses customer charges related to EVSE (Electric Vehicle Supply Equipment) curtailment, including the value of load curtailed, net residential load, and restoration processes involving EVSE6. It also mentions leveraging EVSE out-of-the-box functionality for delayed restoration and deferred distribution.

previous report in error] EV V2G Chargers

AI summary The text mentions a previous report in error and references EV V2G (Vehicle-to-Grid) Chargers, indicating a potential issue with prior documentation related to electric vehicle charging infrastructure.

charging timing peaks to understand impact of EVSE1, 2, 3 • Time varying curtailment • Time varying curtailment schedule uninfluenced charging) Deferred T&D System (EVSE3) Upgrades

AI summary The text discusses the timing of electric vehicle supply equipment (EVSE) charging and its impact on peak demand, including time-varying curtailment schedules and deferred transmission and distribution system upgrades.

Intermittent Renewable Customer charges as Renewable Integration Generation Following • Curtailment of EVSE charge • Utility event statistics • Energy delivered (kWh) • Value of load curtailed ($/kW, convenient (charging times will Chargin...

AI summary The document discusses the integration of intermittent renewable energy with EV charging, focusing on load management, curtailment of EVSE charging, and the influence of EV charging patterns on energy delivery and load curtailment value.

power (kW) by control of • Vehicle charging session data • Unmanaged energy consumption (kWh) $/kWh) be compared with system times when renewables output N/A (ev.energy) (ev.energy) renewable generation output platform algorithim Deferred...

AI summary The text discusses the analysis of vehicle charging session data and unmanaged energy consumption in relation to renewable generation output and system peaks. It references an algorithm used for scheduling and deferred transmission and distribution system upgrades.

uninfluenced charging)

AI summary The text discusses uninfluenced charging, likely referring to electric vehicle charging that is not affected by external factors such as demand response programs or grid conditions. This may pertain to the operation of EVSE (Electric Vehicle Supply Equipment) and its interaction with the grid.

Vehicle charging session data • Unmanaged energy consumption (kWh) $/kWh) be compared with system N/A Industrial Rate platform algorithim minute operating reserve Capacity charging timing peaks to understand impact of EVSE5 requirements un...

AI summary The text discusses vehicle charging session data, focusing on unmanaged energy consumption and industrial rates. It references platform algorithms, minute operating reserve capacity, and the impact of charging timing on system peaks and requirements.

Project Scenarios for Comparison Measuring Outcomes ESP Processes Applicable to Value Reduced Upward Pressure on Revenue Baseline Scenario Baseline Scenario 2 Test Scenario Customer Benefit DER Class DER Group Value Streams DER Control Var...

AI summary The text outlines project scenarios for comparison, focusing on DER (Distributed Energy Resource) classes and groups, value streams, control variables, and their impact on system reliability, grid stability, and customer benefits. It highlights different levels of utility control and software release requirements.

• Connection Status & Alarm Status - The availability of batteries for control during each test (including communication to the batteries, and the customer participation level) Intermittent Renewable • Aggregated battery charge and dischar...

AI summary The text discusses topics related to battery availability, communication during tests, customer participation, and the integration of intermittent renewable generation. It includes details on battery charge and discharge capacity, signal latency, and marginal generation costs.

• Value of battery discharge capacity Battery out-of-the-box charge and discharge rates • Forecasted PV Output (kW) None consumption i.e. determine when Renewable Integration Pilot 2/R3B Consumption customer • Battery response times to tar...

AI summary The text discusses aspects of battery discharge capacity, charge and discharge rates, forecasted and actual PV output, and battery response times to setpoints. These metrics are relevant to renewable energy integration and pilot projects related to C&I sites.

frequency falling outside of None Pilot 2/R3B functionality • Forecasted PV Output (kW) and energy (kWh) versus actuals (%) • PV Inverter Control Variable Input: Feeder output and energy ($/kW, $/kWh) operating modes stacking with other gr...

AI summary The text discusses metrics related to the performance of solar PV systems, including forecasted versus actual output, inverter response times, and system response to frequency changes, focusing on functionality and capacity within the context of grid services.

l frequency range Solar PV Smart • Target real power setpoint versus actual real power setpoint measured (%) Inverters

AI summary The text discusses the frequency range and real power setpoint measurement for solar PV inverters, focusing on the comparison between target and actual real power setpoints in percentage terms.

• BMS response time to curtailment after receiving signal (seconds) uninfluenced operation) . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 71 of 205 CI C0010788 – Smart Grid...

AI summary The document presents specific metrics related to the Solar Garden, including monthly energy generation from February to December 2022. The Community Solar Garden was commissioned in January 2022, and energy production began in February 2022. The total generation for the reporting period is 2,349.535 MWh.

May 285.827 Jun 266.916 Jul 327.865 Aug 268.985 Sep 214.135 Oct 217.054 Nov 154.166 Dec 62.840 Total 2,349.535 Annual Generation Compared to Forecast Generation Year-to-date (i.e. February 1 to December 31, 2022) – • generation totaled 2,3...

AI summary The document provides monthly generation data from February to December 2022, comparing actual generation to forecasted values. Year-to-date generation totaled 2,349.5 MWh, which was 5.0% below the forecast of 2,474.0 MWh. For the period July 1 to December 31, 2022, actual generation was 1,254.0 MWh, exceeding the forecast of 1,207.8 MWh by 3.1%.

70 215 219 156 65 In the current reporting period (i.e. July 1 to December 31, 2022) – • generation totaled 1,254.0 MWh • forecast was 1,207.8 MWh • deviation from forecast was +3.1% Page 2 of 7 . REDACTED (CONFIDENTIAL INFORMATION REMOVED...

AI summary The document provides energy generation data for the period July to December 2022, showing a 3.1% deviation from the forecast. It also mentions a system outage event from June 28 to July 1, 2022, caused by a failed protection component at the Community Solar Garden, which limited solar production to around 90% on July 1.

at the solar garden on December 24 and 25 due to a grid outage in Amherst related to a severe winter storm event in the area. Generation being restored in advance of production on December 26, 2022. Monthly Program Enrolment ( number of pa...

AI summary The text discusses a grid outage at the solar garden in Amherst due to a severe winter storm on December 24 and 25, 2022, with generation restored by December 26. It also references a table on monthly program enrolment and low-income participation, as well as attachments related to a load forecast report and solar garden metrics.

rgy – credits disbursed) 27,911.42 64,584.76 Cumulative net benefit/(cost) to non-subscribers (6,106.37) (12,883.46) As noted in NS Power’s Solar Garden Rate Rider Reply Evidence, “… the Company designed the Rate Rider charge to reflect th...

AI summary The Solar Garden Rate Rider was designed to cover the full costs of the Solar Garden project through customer payments. The initiative is not fully subscribed, resulting in a net cost to non-subscribers. Marketing efforts are ongoing to attract commercial subscribers to fill remaining capacity.

Output Please refer to System Outages section, above. Forecasts of Annual Generation per kW f or Each of the Next 5 Years Table 6 – Forecasts of Annual Generation per kW for Each of the Next 5 Years Year Annual Generation (kWh/kWp) 2023 1,...

AI summary The text includes a table forecasting annual generation per kW for the next five years, along with references to a redacted 2023 Load Forecast Report and a Smart Grid Semi-Annual Report. It also mentions an SGNS Project Lessons Learned document with a table of contents.

uires that amendments, supplements, and/or additions to the Code are adopted on the first day of the fourth month 3 following Code publication – i.e. by May 2021. 2 F At the time of the change, NS Power had closed recruitment for the Batte...

AI summary Amendments to the Electrical Code in Nova Scotia affected NS Power's Battery Storage Pilot by disqualifying some applicants who had lithium-ion batteries installed in non-dwelling areas. NS Power had to reassess applications and contact customers, leading to delays and disappointment. The change highlights the need for better coordination between regulatory updates and project planning.

part on the consent of the EV manufacturer to operate without explicit contracts in place. This creates a ’platform risk’ that ev.energy may be prevented from connecting to certain manufacturers’ EVs. For example, in November 2022, some Ch...

AI summary The text discusses challenges with the ev.energy platform, including platform risks due to lack of explicit contracts with EV manufacturers, and issues with token expiration affecting user experience. It also covers the cancellation of EV Smart Charging DR events before weather events and the implementation of a 'storm mode' by NS Power to improve reliability during severe weather.

email. While in storm mode, any penalty for boosting during the impacted timeframe is waived. Results have been positive and may influence development of more automated functionality in the future. Page 9 of 14 . . REDACTED (CONFIDENTIAL I...

AI summary During a severe weather event from July 2022 to December 2022, several panels at the Community Solar Garden were loosened or torn. The site was recommissioned quickly, and future preventative measures include moving torque checks to an earlier schedule and retorquing the entire site before major weather events.

and checks to ensure event scheduling and integrations are working. This learning would inform potential DERMS recommendation(s), as automated outage and error notifications are not always standard. 28. Availability of Certif ied Vehicle-t...

AI summary The document discusses challenges in the availability of certified bi-directional EV chargers (V2X) for the Canadian residential market, citing delays in certification and manufacturing, as well as the influence of emerging international standards on adoption rates.

9,152,691 9,959,113 Please use the Current Claim total (1) and the Total to Date (2) to complete the Appendix A - Recipient's Claim Summary . Veuillez SVP utiliser le total de la Réclamation Actuelle (1) ainsi que le Total à ce Jour (2) po...

AI summary The document includes a claim summary form, a redacted 2023 Load Forecast Report, and a Smart Grid Semi-Annual Report. It also includes a progress report from Siemens Canada Limited, New Brunswick Power Corporation, and Nova Scotia Power Incorporated under the Strategic Innovation Fund for the Smart Grid Atlantic project.

i-Annual Report Attachment 6d Page 6 of 15 Activity #2 Shediac Smart Energy Community Demonstration % Completion Status Comments Details of Activity Performed • • Activity # 3 Smart Grid Nova Scotia Demonstration % Completion Status Commen...

AI summary The document outlines several demonstration activities related to energy initiatives in Nova Scotia, including the Shediac Smart Energy Community, Smart Grid Nova Scotia, Tobique Microgrid, and North Branch Smart Energy Development. These projects involve university collaborations, community engagement, and advisory support from Efficiency One.

COSTS - COÛTS TOTAUX 447,260 9,959,113 10,406,373 Please use the Current Claim total (1) and the Total to Date (2) to complete the Appendix A - Recipient's Claim Summary . Veuillez SVP utiliser le total de la Réclamation Actuelle (1) ainsi...

AI summary The document includes a table with cost data and instructions for completing a claim summary, a redacted section referencing a 2023 Load Forecast Report, and a progress report related to the Smart Grid Atlantic project under the Strategic Innovation Fund. The report is submitted by Siemens Canada Limited, New Brunswick Power Corporation, and Nova Scotia Power Incorporated.

• • • • • o o o o o o • Activity #3: Smart Grid Nova Scotia Demonstration % Completion Status Comments 95% On Schedule Asset installations partially complete. Details of Activity Performed Community Solar: • The solar garden began generati...

AI summary Activity #3 of the Smart Grid Nova Scotia Demonstration is 95% complete, with community solar and commercial/industrial installations progressing. The solar garden began generating energy in February 2022, and BESS systems have been commissioned and certified. Solar arrays and electrical inspections are complete at multiple sites.

rray (ground mounts) commissioning completed at two customer sites. Commissioning for the solar PV roof top project also complete. • Electrical inspections have been passed at all customer sites. Battery Storage • Battery installations wer...

AI summary The text details the progress of various energy projects, including solar PV installations, battery storage systems, and integration efforts with energy management platforms. Key activities include the completion of electrical inspections, ongoing battery system testing, and the integration of EV chargers and building management systems. The Tobique Microgrid Demonstration and North Branch Smart Energy Development are also mentioned, though their status is not fully detailed.

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.

te 1 $ NATIONAL PUBLIC RELATIONS INC Professional fees for Community Solar Garden feedback via Mailchimp $ NATURAL FORCES SOLAR INC. Additional required planned scope work for Community Solar Garden project (multiple invoices) $ DAVID CLAR...

AI summary The text lists various vendors and contractors involved in multiple projects related to solar gardens, battery installations, and smart grid initiatives in Nova Scotia, including expenses for professional services, installation, and system studies.

ase executed in test environment in February during "peak" calendar period. • Residential and commercial battery systems integration development and initial baseline data collection is ongoing. NS Power Program Design • The Solar Garden Ra...

AI summary The document outlines progress on various NS Power programs, including updates to the Solar Garden Rate Rider, expansion of the ev.energy EV Smart Charging program, and the status of community solar and C&I solar plus battery installations. It also mentions ongoing data collection and system testing.

ogramming added to system design in order to prevent export to grid at C&I sites, per interconnection agreements. Initial design and implementation work was ongoing during this reporting period. Operational issues and other barriers/challe...

AI summary The document discusses operational issues with the Energy Services Platform (ESP), including software bugs and data correlation challenges. It also highlights a three-day outage at the Community Solar Garden due to faulty equipment and a 13% shortfall in solar production. Firmware updates for residential batteries and portal improvements were requested. Budget status is mentioned but not detailed.

ELIGIBLE EXPENDITURES Name of the contractor Description of the work Costs Incurred GP Joule PV Canada Site 1 - Contingency (C&I Solar + Battery project) - multiple invoices $ Black and MacDonald Ltd. Installation of distributed batteries...

AI summary The text lists eligible expenditures for various contractors involved in C&I Solar + Battery projects, including installation, consulting, advertising, and site supervision, with associated costs incurred.

elop extension module for Desigo CC V5 & configure connection for Site existing BMS and ESP $ GP Joule PV Canada Site 1 - Substantial completion (C&I Solar + Battery project) $ Mattatall Signs Ltd. Smart Grid NS project branding wrap insta...

AI summary The text lists various eligible and ineligible expenditures related to energy and infrastructure projects, including equipment, contracting services, and costs incurred for DERs, BMS, and ESP. It also references a redacted load forecast report and a smart grid semi-annual report.

system and operational data. • Progress continued in the development of initial baseline data collection and system integrations for three different residential and commercial battery systems. NS Power Program Design • On 22 August, the Co...

AI summary The document outlines progress in energy system development, including baseline data collection, residential and commercial battery system integrations, and updates on solar and battery installations. It also notes ongoing software testing and integration challenges for the Energy Services Platform (ESP).

ration defects including constraint management and connectivity to third-party vendor clouds. • Additional functionality being delivered to enable data extract for analysis in external platforms. Community Solar • Hurricane Fiona impacted...

AI summary The text discusses impacts from Hurricane Fiona on a community solar garden, including damage to solar modules and repairs completed by late September. It also covers solar production performance in July, August, and September, and ongoing discussions with NS Power regarding the temporary disabling of zero export mode for testing solar inverter functions.

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.

nstallation is underway. • NS Power has scheduled the installation of the Fermata 15kW bi-directional charger for October 2022 and anticipates this project will be completed by the end of October. ev.energy • ev.energy program launched 14...

AI summary NS Power is installing a Fermata 15kW bi-directional charger, with completion expected by late October 2022. The ev.energy program was launched in June 2022, onboarding new and transitioning existing Tesla drivers. Challenges include delays in bi-directional charger deliveries due to certification requirements, leading to the cancellation of one purchase order.

nvironmental Impacts Template as part of your project proposal. Refer to that template when completing this section and, if necessary, complete and upload an updated Environmental Impacts Template. pg. 5 . REDACTED (CONFIDENTIAL INFORMATIO...

AI summary The text discusses the requirement to use an Environmental Impacts Template for project proposals and provides information related to GHG reductions for a project, including current and forecasted annual reductions. The project's technology readiness level is mentioned, and all GHG reduction figures are reported as zero or not applicable.

0 $ from new revenue stream (where applicable) $0.00 Other economic indicator, please specify: n/a pg. 8 . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 176 of 205 CI C0010788...

AI summary The document discusses progress on socio-economic and technical performance targets for a solar garden project, noting that only 40% of customers are subscribed, falling short of the 100% target. Additionally, no C&I solar customers have been commissioned, though this is expected by Q3 2022. The project has experienced minor delays due to COVID-19 restrictions, but these have had little impact on the budget.

9 Attachment 2 Page 181 of 205 CI C0010788 – Smart Grid Semi-Annual Report Attachment 13 Page 5 of 11 NATURAL RESOURCES CANADA EVID Annual Performance Report Product Type Description/Weblink Media product, Media https://www.youtube.com/wat...

AI summary The document outlines various media and knowledge products related to the Smart Grid Initiative Fund (SIF) and Smart Grid Nova Scotia (SGNS), including presentations, panel discussions, and events attended by representatives such as Peter Gregg and Shawn Connell. These activities highlight innovation, electrification, and technology in the energy sector.

Follow-on Period Current Value 2 Target Met? No For each bi-directional charger there is at least one vehicle utilizing the new Rationale capability. Type Codes & standards Description Number of codes, standards, policies, or regulations i...

AI summary The text outlines progress on bi-directional charging initiatives in Nova Scotia, noting that targets for codes and standards, patents, and technology readiness levels have not been met. The Technology Readiness Level (TRL) for V2G technology has reached level 6, meeting its target. The project has been somewhat delayed due to the impacts of COVID-19.

or management) is composed of women: NSP began self-identification in 2021; data will be provided in subsequent reports What share of the organization is owned by First Nations, Inuit, and Métis peoples? Select the category that most close...

AI summary The text provides information on Nova Scotia Power's (NSP) self-identification efforts starting in 2021, related to the representation of women and Indigenous peoples in the organization. It also references a redacted 2023 Load Forecast Report and a Smart Grid Semi-Annual Report, indicating the presence of confidential information.

ed by NSP that require privacy protection. Officer Assessment (to be completed / updated by project officer) Comments (to be completed / updated by project officer) Additional Commitments Type Environmental Additional Commitments Descripti...

AI summary The text outlines an additional commitment by NSP to build 50MW of renewable energy generation capacity in Nova Scotia by 2028, as part of an environmental commitment under Section 6.2.5. The progress is currently in the development stage.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Synapse Energy Economics Information Requests NON-CONFIDENTIAL 1 Request IR-10: 2 3 Solar Generation (PV) (Section 4.4, pp 44-45) 4 5 (a) Please provide supporting data for the av...

AI summary NSPI responded to Synapse Energy Economics' request regarding solar generation in the 2023 Load Forecast Report. They provided average PV installation capacities, assumed capacity factors, and discussed the impact of PV on summer peaks, noting ongoing data collection efforts.

XOther) also show increased growth over the 10 year period, contributing 4.3 percent 29 compared to 2 percent in the 2022 forecast. The increase in the model is mainly due to the Date Filed: June 20, 2023 NSPI (Synapse) IR-22 Page 1 of 2 R...

AI summary The 2023 Load Forecast Report indicates increased growth in heating, EV load, and DSM, with the XHeat variable contributing 5.8% growth over 10 years. The report also mentions a 117 GWh load application by an RTR participant and changes to the commercial net metering program affecting solar forecasts.

in 14 the general class. 15 16 (d) The higher solar forecast in the commercial class is driven by changes to the commercial 17 net metering program. Please refer to E1 IR-07. Date Filed: June 20, 2023 NSPI (Synapse) IR-22 Page 2 of 2 REDAC...

AI summary The document references a higher solar forecast in the commercial class, attributed to changes in the commercial net metering program, with a reference to E1 IR-07. The text also includes a Load Forecast Report (LFR) submitted by NSPI (Synapse) on June 20, 2023.

customer incentives, O&M, etc. Global Parameters Program Lifetime, Discount Rate, Inflation Rate, Line Losses, Avoided Costs 27 Source: Navigant 26 The DR analysis assumed “default with opt-out” type of offer under the High Scenario and th...

AI summary The document discusses the calculation of demand response (DR) program potentials, including technical and market potentials, based on assumptions such as 'default with opt-out' and 'opt-in' offer types. It references avoided costs from the 2014 Integrated Resource Plan and Transmission and Distribution (T&D) costs provided by NS Power in 2018.

† Monthly HDD † Monthly CDD † Economics REDACTED (CONFIDENTIAL INFORMATION REMOVED) M11108 2023 Load Forecast Synapse IR-43 Attachment 2 has been filed electronically. REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast...

AI summary The document outlines the 2023 load forecast report, including demand-side management (DSM) projections, solar PV impact, electric vehicle (EV) forecasts, and various scenarios for energy demand. It also references responses from NSPI to Synapse Energy Economics' information requests.

2023 Load Forecast Report Synapse IR-44 Attachment 1 Page 3 of 8 Electrification is key to achieving Net-Zero in Nova Scotia  In decarbonization Decarbonization Pillars in Nova Scotia modeling in Nova Scotia, consistent with the Demand Si...

AI summary The document discusses the importance of electrification in Nova Scotia's decarbonization strategy, emphasizing the need for parallel efforts in power sector GHG reductions and energy efficiency. It highlights the role of electrification in achieving Net-Zero goals and references a report by E3 Nova Scotia Power.

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.

and peak from electrification as well as from new technologies, especially findings Please refer to NSUARB Please refer to NSUARB IR- from pilot projects. IR-45. 45. NSUARB NS Power is directed to continue Direction evaluating and implemen...

AI summary The NSUARB has directed NS Power to continue evaluating and implementing improvements to the calculation of weather-normalized values for energy and peak, as recommended by intervenors. This is part of the 2023 Load Forecast Report (NSUARB M11108), which also includes an assessment of the impact of DSM, Solar PV, EVs, and battery storage.

) adjustments applied to the SAE forecast values. Third, NSPI applies other factors to reflect customer growth and specific program adjustments. We will discuss all these components in this evidence. 1.1. Forecast Comparisons First, we loo...

AI summary NSPI's 2023 load forecast projects an 825 GWh (7.3% growth) increase in total load from 2023 to 2033, driven by electrification, cooling demand, and EV adoption, offset by rooftop solar and DSM. The forecast reflects changing conditions including climate-driven fossil fuel reduction and increased electrification.

rs causing increases are growth in new customers and electric vehicles (EV). Offsetting these increases are rooftop solar and DSM. We will discuss several of these items in more detail in this report. Table 1. Net system requirement compon...

AI summary The text discusses factors increasing system requirements (new customers, EVs) and offsetting factors (solar, DSM). Table 1 details net system requirements for 2023 and 2033, including residential, commercial, industrial, and losses, sourced from NSPI's forecast report.

-3 -51 -586 2033 Forecast 5,360 3,355 2,501 101 795 12,113 Source: Figure 55 from the NSPI forecast Report. Synapse Energy Economics, Inc. Evidence Regarding Nova Scotia Power’s 2023 Load Forecast 2 The historical trend for firm peak deman...

AI summary The text discusses Nova Scotia Power’s 2023 load forecast, highlighting a 25% increase in firm peak demand driven by electrification factors like EVs, commercial/industrial electrification, and large customers. Historical trends and modeling adjustments are referenced, with Synapse Energy Economics providing the analysis.

-9.2% -0.3% -5.6% 11.0% load Note: Res Sales = Existing Customer Load + New Customer Load + EV Load + Solar Load + RTR + DSM. Source: NSPI load forecast report Appendix B. In addition to the outsized contribution of EVs and new customer lo...

AI summary Residential load growth is driven by EVs, new customers, and electrification (heat pumps, electric water heating). Existing customer consumption is projected to rise 4.7% due to electrification and higher household compensation. Heat pump adoption is forecasted to reach 100% by 2050, with 2022 installations prompting revised projections.

ates that the data collected from these pilots will be used to inform future load forecasts. 22 Load Forecast Report, p. 35. 23 Load Forecast Report, p. 37. 24 Load Forecast Report, pp. 78-79. Synapse Energy Economics, Inc. Evidence Regard...

AI summary Synapse recommends NSPI include heat pump data and consider EV load in future forecasts. NSPI excludes heat pumps due to limited adoption data, though uptake has doubled in two years. EV load is projected to grow significantly by 2033.

as penetration increases. 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. Solar generation As noted previously,...

AI summary NSPI's load forecast highlights rapid solar generation growth, projecting over 20-fold increases in installations. While solar may reduce summer peak loads by up to 15%, assumptions require empirical validation. Synapse recommends refining forecast models to better capture solar's impact on load profiles.

Service, and Large General Service. The Small General Service group represents 10 percent of the commercial load, the General Service group 75 percent, and the Large General Service group 15 percent. Our comments focus on the General Servi...

AI summary The text analyzes load forecasting for Nova Scotia Power's General Service group, noting a 4.4% increase in sales between 2022-2032 driven by electrification (XHeat) and electric vehicles (EVs), partially offset by DSM programs. The regression model highlights EVs as a major growth factor, while DSM 49 reduces projected increases.

20 GWh of growth, while government buildings account for an estimated 6 GWh, universities account for an estimated 5 GWh, and other customers account for 3 GWh. 54 To summarize, the increase in the Commercial load appears to be related to...

AI summary The document discusses factors contributing to commercial load growth in Nova Scotia, including EV charging shifts, electrification, and increased customers, while noting DSM programs, solar, and renewable supply as load reduction factors. It raises questions about EV impacts, DSM expansion, solar potential, and customer actions.

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.

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.

ctrification levels (page 21). 13. We ask NSPI to explore the potential for greater industrial savings (page 22). 14. We ask NSPI to explore the impacts of real time rates (page 23). 15. We ask NSPI to explore the impacts of increases in i...

AI summary The text outlines various requests for NSPI to explore and evaluate the impacts of industrial electrification, real-time rates, and technologies like heat pumps and thermal storage. It also recommends sensitivity analyses to mitigate peak load increases. The summary supports NSPI’s efforts to improve load forecast transparency and accuracy.

Matter No. M11108 In the Matter of Nova Scotia Power’s 2023 Load Forecast Report EVIDENCE OF JOHN D. WILSON ON BEHALF OF THE CONSUMER ADVOCATE Grid Strategies, LLC JULY 18, 2023 TABLE OF CONTENTS I. Identification & Qualifications ...........

AI summary The document outlines the 2023 Load Forecast Report by Nova Scotia Power, critiqued by John D. Wilson on behalf of the Consumer Advocate. Key issues include forecasted peak demand for EV charging, time-varying pricing impacts, and documentation quality. Implications for distribution planning are highlighted.

ich load forecast 8 methods and documentation could be improved. Finally, I will discuss general implications 9 of the electrification load forecast for distribution system planning. 10 Q: Please summarize your recommendations. 11 A: I rec...

AI summary The witness recommends NS Power adopt a 0.6 kW/vehicle EV charging rate, remove time-varying pricing peak reduction benefits, update load forecast documentation, verify transformer sizing with updated EV data, and improve distribution planning for solar systems <100kW and heating electrification, particularly in small general sector areas.

ly 21, 2021), Matter No. M10109, pp. 5-6, 14, 25. 4 Exhibit N-5, Evidence of John D. Wilson (July 29, 2022), Matter No. M10569, pp. 7-9. 5 Exhibit N-1, 2023 Load Forecast Report, p. 22. Evidence of John D. Wilson  Matter No. M11108  July...

AI summary NS Power's hybrid scenario for building heat electrification incorporates non-electric backup systems during peak periods, significantly reducing peak demand impacts compared to full heat pump reliance. Sensitivity tests showed this approach minimizes energy use increases while drastically lowering peak demand pressures, as testified by John D. Wilson.

fully relying on heat pumps to customers using some non-electric backup 9 system during peak periods would have a “large impact on the peak impact of heating 10 electrification.”7 11 Q: What are the implications of this finding for NS Powe...

AI summary NS Power faces challenges in meeting peak winter heating demand as part of its decarbonization strategy. Strategies include time-varying rates, battery storage, gas-fueled peaking units, and transmission interconnections. Customer-sited resources like natural gas and battery storage could reduce system peak demand by 257 MW, but pipeline capacity limits may hinder expansion.

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.

he additional explanation is 19 useful, I recommend that NS Power provide this explanation in future load forecast reports 20 and update it as multipliers or methods are revised. 21 V. Implications of Electrification Forecast for Distribut...

AI summary The text highlights that NS Power considers large loads (>1 MW) and generation (>100 kW) in distribution planning but lacks consideration for smaller impacts like solar systems (<100 kW) or heating electrification in small sectors. It recommends NS Power provide detailed explanations in future load forecasts and update them as methods evolve.

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.

John D. Wilson  Grid Strategies, LLC Page 2 “Smoke in the Water: Air Pollution Hidden in the Water Vapor from Cooling Towers – Agencies Fail to Enforce Against Polluters,” Galveston Houston Association for Smog Prevention, February 2004....

AI summary The document lists publications by the Galveston Houston Association for Smog Prevention and the Southern Alliance for Clean Energy (SACE), focusing on air pollution, toxic emissions, renewable energy, and energy efficiency. Reports highlight underreporting of emissions, industry violations, and initiatives to advance renewable energy standards and energy efficiency programs in the Southeast.

ncy Program Impacts and Policies in the Southeast,” Southern Alliance for Clean Energy, May 2009. “Recommendations for Feed-In-Tariff Program Implementation In The Southeast Region To Accelerate Renewable Energy Development,” Southern Alli...

AI summary The text references multiple reports by the Southern Alliance for Clean Energy (SACE) on renewable energy initiatives, including feed-in tariff programs, clean energy strategies, and case studies on renewable energy integration in the Southeast and Tennessee Valley Authority regions.

st,” Southern Alliance for Clean Energy, November 2014. “Cleaner Energy for Southern Company: Finding a Low Cost Path to Clean Power Plan Compliance,” Southern Alliance for Clean Energy, July 2015.

AI summary The text cites two documents from the Southern Alliance for Clean Energy (SACE) discussing compliance with a clean power plan and strategies for achieving low-cost clean energy transitions, dated November 2014 and July 2015.

John D. Wilson  Grid Strategies, LLC Page 3 “Analysis of Solar Capacity Equivalent Values for Duke Energy Carolinas and Duke Energy Progress Systems,” prepared for and filed by Southern Alliance for Clean Energy, Natural Resources Defense...

AI summary The text lists multiple reports authored or co-authored by the Southern Alliance for Clean Energy (SACE) on solar energy, energy efficiency, and decarbonization in the Southeastern U.S., including a 2021 review of Nova Scotia Power’s Integrated Resource Plan (IRP) for the Nova Scotia Utility and Review Board (NSUARB).

SELECTED PRESENTATIONS “Clean Energy Solutions for Western North Carolina,” presentation to Progress Energy Carolinas WNC Community Energy Advisory Council, February 7, 2008. “Energy Efficiency: Regulating Cost-Effectiveness,” Florida Publ...

AI summary The text lists presentations and testimonies on energy efficiency, renewable energy, and regulatory approaches by organizations like the Southern Alliance for Clean Energy (SACE) and individuals, focusing on regions such as Florida, the Tennessee Valley Authority (TVA), and Southeastern U.S. regulatory discussions. Topics include cost-effectiveness, utility-scale renewables, and energy efficiency programs.

ncy in Utility Resource Planning Meeting, February 10, 2015. “The Clean Power Plan Can Be Implemented While Maintaining Reliable Electric Service in the Southeast,” FERC Eastern Region Technical Conference on EPA’s Clean Power Plan Propose...

AI summary John D. Wilson from Grid Strategies, LLC presented on energy planning topics including renewable energy reliability, carbon market challenges, solar capacity value, procurement best practices, and resource adequacy. His work spans regulatory proceedings, market design, and technical analyses related to power generation and grid planning.

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.

and Southern Alliance for Clean Energy. Methods for calculating dependable capacity credit for renewable resources and application to determination of avoided cost.

AI summary The text references the Southern Alliance for Clean Energy (SACE) and discusses methods for calculating dependable capacity credit for renewable resources, focusing on their application to determining avoided costs in regulatory proceedings.

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.

Nova Scotia Power’s 2020 annual capital expenditure plan on behalf of the Nova Scotia Consumer Advocate. Potential to decommission hydroelectric systems, review of annually recurring capital projects, use of project contingencies, and cost...

AI summary Nova Scotia Power’s 2020 capital expenditure plan, decommissioning hydroelectric systems, and project reviews are discussed in three regulatory matters. Paul Chernick testified on behalf of the Nova Scotia Consumer Advocate in UARB matters M09579 and M09707, addressing alternatives, cost calculations, and forecast accuracy. In California PUC Docket A.19-10-012, he advocated for EV charging programs aligned with state goals, emphasizing budget controls and outreach.

dvance California goal for electric vehicles. Budget controls. Reporting requirements. Evaluation, monitoring and verification processes. Outreach to small business customers.

AI summary The text outlines initiatives to advance California's electric vehicle goals, including budget controls, reporting requirements, evaluation and monitoring processes, and outreach to small business customers. These measures aim to support EV adoption through structured financial and operational frameworks.

John D. Wilson  Grid Strategies, LLC Page 9 South Carolina PSC Docket Nos. 2019-224-E and 2019-225-E, surrebuttal testimony on 2020 Integrated Resource Plans filed by Duke Energy Carolinas and Duke Energy Progress. All-source procurement...

AI summary John D. Wilson and Paul Chernick provided testimony in multiple regulatory proceedings across South Carolina, California, and Nova Scotia, addressing integrated resource plans, net energy metering, real-time pricing, and hydroelectric project reasonableness. Testimonies focused on rate design, cost-of-service methods, and program evaluations.

ponding directives. 25 26 Synapse noted improvements in the 2023 Load Forecast, NS Power’s responsiveness, and the 27 forecast’s reasonableness among its general introductory comments as follows: 1 Nova Scotia Wholesale and Renewable to Re...

AI summary The 2023 Load Forecast Report shows increased predictions due to electrification efforts, with implications for energy and peak demand. Synapse notes the forecast's reasonableness but highlights the need to address rising energy needs driven by population and economic growth.

Page 5 of 25 2023 Load Forecast Report – Rebuttal Evidence Non-Confidential 1 electrification of building heat to reflect peak mitigation through the use of non- 2 electric heat sources. 3 4 I would also like to acknowledge that NS Power e...

AI summary NS Power's 2023 Load Forecast Report incorporates improvements from prior matters, including load-weighted weather data and electrification scenarios. The report uses Shearwater RCS as the primary weather station, with the SBA noting approval of changes from the 2022 matter (Ml0569) and new data from the Smart Grid Nova Scotia report.

1 2.0 RESPONSE 2 3 The evidence from Synapse, and the CA, as well as the SBA’s submission are primarily focused 4 on the following issues: 5 6 1. Further details and investigation of the impact to energy and peak from expected 7 electrific...

AI summary The response highlights the need for further analysis of electrification's impact on energy and peak demand, as well as new technologies like smart grids and time-variable rates. NS Power agrees to investigate these issues using data from initiatives like the Integrated Resource Plan (IRP) and Smart Grid Nova Scotia (SGNS), while emphasizing the role of peak mitigation measures.

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.

. 23 24 3.1.13 Recommendations 14-15: 25 26 We ask NSPI to explore the impacts of real time rates. 27 28 We ask NSPI to explore the impacts of increases in industrial RTR. 29 30 DATE FILED: September 14, 2023 Page 14 of 25 2023 Load Foreca...

AI summary The document outlines recommendations for NSPI to explore real-time rates, industrial RTR increases, and post-2026 electrification prospects. NS Power responds that real-time pricing is available to industrial customers but limited in use, with potential future expansion. DSM adjustment factors are referenced in Section 4.6, and electrification discussions are deferred to prior responses.

ready included in the peak forecast. 25 26 3.1.18 Recommendation 20: 27 28 We ask NSPI to further investigate the performance of heat pumps during peak load 29 conditions. 30 31 DATE FILED: September 14, 2023 Page 16 of 25 2023 Load Foreca...

AI summary NS Power responds to recommendations regarding heat pump performance during peak loads, limited data on thermal storage and induction cooking technologies, and the need to quantify electrification impacts in the commercial sector. NS Power agrees to investigate heat pumps, notes limited data on emerging technologies, and states existing models account for some efficiency improvements.

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.

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.

me in the residential model; • adjusting for small scale solar panel installations; • conducting additional sensitivity analyses; and, • incorporating the results from the Smart Grid project. The Load Forecast was adjusted for the RTR load...

AI summary NS Power adjusted the 2023 load forecast by subtracting 14 GWh starting in 2024 but maintained peak forecasts due to legal obligations. Variance in 2022 was attributed to weather, the pandemic, and heat pumps. Intervenors praised NS Power’s forecast improvements but emphasized researching electrification impacts and new technologies like Smart Grid results.

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.

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 highlights concerns about EV load variability and the need for a low-adoption electrification scenario to assess system needs and DSM benefits. NS Power's load forecast is criticized for not addressing isolated assumption changes, while the Board emphasizes stakeholder engagement for the 2024 Load Forecast Report. Intervenors' recommendations on load forecasting methodology are emphasized.

Document #:303618 Date Filed: May 25, 2023 Synapse (NSPI) Page 5 of 18 1 c. How do the daily load shapes for various types of electric vehicles correspond to NS’s 2 system load patterns? How does the peak demand pattern for electric vehicl...

AI summary The document lists regulatory requests regarding EV load management, time-of-use tariffs, solar PV capacity factors, and new technologies, seeking data, calculations, and updates on pilot programs.

please provide those results. 24 c. Please provide the source data and calculations for the values in Figure 31. 25 26 27 Request IR-11: 28 New Technologies (Section 4.4, pp 45-47) 29 a. Were projected cost declines of home batteries consi...

AI summary The document contains regulatory requests for data and calculations related to new technologies, including home batteries and electric thermal storage (ETS), in Nova Scotia Power's study. Requests focus on cost assumptions, peak load moderation, and methodology for evaluating ETS.

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.

on. 25 26 Request IR-36: 27 Appendix B: Small General Service Model (pp 9-14) 28 a. Please provide in electronic spreadsheet format the data and the statistical model 29 parameters and the full results used to produce the commercial model...

AI summary The document outlines requests for detailed data, models, and calculations related to energy usage variables (XHeat, XCool, XOther) and growth programs (PV, EV, DSM) from Synapse (NSPI). Requests include spreadsheet formats for statistical parameters, end-use intensity data, and derivations of growth program adjustments.

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.

mmercial electrification programs was denied as NS Power has not performed such 47 an analysis. 48 49 a. Please indicate how this report incorporates each of these agreed changes. 50

AI summary The commercial electrification programs were denied due to NS Power not performing the required analysis. The text requests clarification on how the report incorporates agreed changes.

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.

Document: 303590 (P-194) Date Filed: 05/30/23 UARB Page 4 1 b) With increasing electrification in Nova Scotia, how is this elasticity forecast to change 2 between 2023 and 2033? 3 c) Have any estimates of price elasticity been calculated f...

AI summary The document contains regulatory questions about price elasticity modeling for Nova Scotia Power, including its development by Itron with other utilities, assumptions about weather patterns, electrification levels, and residential heating/cooling weightings in the SAE model. Requests focus on validation of the model's applicability to Nova Scotia's context.

Document: 303590 (P-194) Date Filed: 05/30/23 UARB Page 7 1 Request IR-22: 2 Figure 53 of the Application indicates that under the Residential Class, 263 GWh are the result of 3 an unexplained variance from the 2022 forecast. This is a sig...

AI summary The document contains four regulatory requests (IR-22 to IR-25) questioning Nova Scotia Power's (NSP) forecasting methodology, including unexplained energy variances, changes in Net System Requirement (NSR) forecasts, residential component allocations, and the incorporation of hydrogen production into load forecasts. Requests seek clarification on factors driving discrepancies, forecast adjustments, and data gaps related to hydrogen's impact.

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 1 of 6 1 Request IR-1: 2 3 Reference: Exhibit N-1, p. 22, lines 13-15. 4 5 Has NS Power revised its operational dispatch planning models to consider lagged average 6 temperature and wind speed? P...

AI summary The document contains two requests to NS Power regarding operational dispatch models and heat pump load forecasts. The first asks about revisions to models considering temperature and wind data. The second seeks clarification on heat pump assumptions, load impact analysis, and market intervention needs for electrification.

(c) Does NS Power believe that additional market interventions are necessary to achieve 30 the level of electrification indicated in its load forecast? 31 i. If so, please provide the supporting analysis. 32 ii. If not, please identify how...

AI summary The document asks NS Power if additional market interventions are needed to meet electrification levels in its load forecast, referencing policy goals and citing an Itron study submitted in the On-Bill Financing Final Report (M09321).

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.

Page 1 of 3 1 Request IR-1: Please reference Synapse IR-3 parts A-C, and reference Section 4.0, p 16. 2 a) Please provide a qualitative description of the changes in any class studied that would 3 merit differentiation in regression period...

AI summary The text contains four information requests (IR-1 to IR-4) seeking details on regression periods, load forecasting assumptions, EV charging data alignment, and Commercial Net Metering protocols. Requests focus on methodology, data benchmarks, model accuracy, and protocol integration in load/peak forecasts.

-11. 26 a) Please discuss how, if at all, the new protocols developed for proposal in Matter M10872 27 for Commercial Net Metering factored into the solar generation load and peak values 28 utilized in the 2023 Load Forecast Report. 29 30...

AI summary The text includes regulatory requests related to Commercial Net Metering protocols, load forecasting, sales backcasting, and load obligations under RTR. It asks for explanations on how new protocols influenced load forecasts, sales trends, and NS Power's understanding of RTR-related load obligations.

M11108 – SBA IRs – May 30, 2023 Page 2 of 3 1 b) Please describe how the RTR-served load/generation is forecasted. 2 c) Please provide the total amounts of load per year and per rate class to be served by RTR 3 providers in all years of th...

AI summary The document contains information requests from a regulatory proceeding, asking NS Power to detail load forecasting methods, EV sales assumptions, and BNI curtailment programs. It seeks clarification on forecasting methodologies, EV sales alignment with federal targets, and the role of E1 in BNI curtailment.

ower 2023 Load Forecast, Page 45, Figure 31 25 Please provide a version of Figure 31 that breaks out total new installs, load (GWh) and peak 26 (MW) by residential and non-residential projects. 27 Date Filed: May 30, 2023 E1 (NS Power) Pag...

AI summary EfficiencyOne (E1) requests detailed information from Nova Scotia Power Inc. (NS Power) regarding the 2023 Load Forecast, focusing on how paused commercial net metering projects (over 27 kW) are accounted for, the number of paused projects, and integration of the new Commercial Net Metering Program (up to 1 MW) into the forecast.

Blackburn Law July 18, 2023 VIA EMAIL Ms. Crystal Henwood Regulatory Affairs Officer/Clerk Nova Scotia Utility and Review Board 1601 Lower Water Street, 3rd Floor Halifax NS B3J 3S3 Dear Ms. Henwood: Re: M11108 - Nova Scotia Power Inc. ("N...

AI summary The Small Business Advocate (SBA) reviews Nova Scotia Power Inc.'s 2023 Load Forecast Report, noting improvements from the 2022 version but expressing concerns about the methodology's lack of scenario analysis for electrification. The SBA highlights incorporated changes like load-weighted weather data and hybrid electrification scenarios but emphasizes the need for more comprehensive energy need assessments.

me in the residential model; • adjusting for small scale solar panel installations; • conducting additional sensitivity analyses; and, • incorporating the results from the Smart Grid project. The Load Forecast was adjusted for the RTR load...

AI summary NS Power adjusted the 2023 Load Forecast by subtracting 14 GWh starting in 2024, while maintaining peak forecasts to meet legal obligations. Variances in 2022 were attributed to weather, the pandemic, and heat pumps. Intervenors praised forecast improvements but emphasized researching electrification impacts and new technologies like Smart Grid and Time Varying Pricing.

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.