Topic:"Grid Modernization" in M11108

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

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

1 The trend in the Commercial classes shows that the heating component of the peak is 2 expected to increase significantly over the forecast period, driven by the increased space 3 heating electrification and EVs. All other categories decr...

AI summary The text discusses trends in Commercial class peak demand, noting an expected increase due to electrification and EVs, while other categories decline. NS Power uses interval data and load research to forecast peak demand at the class level, with ongoing research using AMI data and load research data.

Page 91 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 Losses can be estimated by comparing the sum of load research sales to system generation 2 and deriving hourly, monthly, and yearly system losse...

AI summary The 2023 Load Forecast Report discusses methods for estimating system losses by comparing load research sales to system generation, emphasizing the potential benefits of a load research approach over the current top-down method. It also highlights the use of load research data post-COVID-19 and the impact of 2022's warm weather on residential peak demand forecasts.

2023 Load Forecast Report REDACTED 1 Figure 72: Monthly historical Residential LRS load at peak and forecasts 2 3 4 5 Both the current residential peak demand forecast (green line) and the LRS peak 6 experimental model (black line) are des...

AI summary The 2023 Load Forecast Report discusses residential peak demand forecasts and experimental models, comparing them with actual AMI data. AMI meter coverage reached nearly 90% by the end of 2022, enabling more accurate forecasting methods to be tested.

D (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 Figure 73: AMI Peak Estimates 2 2023 Residential System Coincident Peak Forecast Evaluation AMI AMI LRS based % diff w AMI Top-down % diff w AMI adjusted to Weather...

AI summary The document presents a comparison of AMI peak estimates with other forecasting methods, including LRS-based bottom-up models and the top-down weather-normalized system load factor approach, highlighting differences in residential load forecasts for January.

DSM (MW) January 982 1,184 1,232 -3.8% 1,166 1.6% February 1,392 1,146 1,166 -1.7% 1,122 2.1% 3 4 Differences between the forecast green (top-down) and black lines (bottom-up) highlight 5 the different approaches and cover a range from nea...

AI summary The text discusses the comparison between top-down and bottom-up forecasting methods for demand-side management (DSM) in Nova Scotia, highlighting the limitations of the top-down approach and the advantages of the bottom-up method, which uses class-level load research to capture customer behavior more accurately. The use of AMI smart meter data is proposed to improve forecast accuracy and analyze the impact of factors like heat pump penetration and building shell assumptions.

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

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

1 2023 Load Forecast Report (NSUARB M11108) NSPI Responses to NSUARB Information Requests NON-CONFIDENTIAL 1 Request IR-8: 2 3 Page 41 of the Application indicates that bi-directional chargers have been installed at non- 4 residential loca...

AI summary NSPI responds to NSUARB's inquiry about bi-directional charger installations, reporting two installed under the SGNS project (one in 2021, one in 2022), one upgrade planned for 2023, and no residential installations forecasted outside the SGNS project.

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.

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.

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

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

ESP Release 3 Use Case Testing Baseline Data Collection Transition to Post Pilot Operation 2019 2020 2021 2022 2023 2023 . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 19 of...

AI summary The document outlines the progress of SGNS Use Case Testing Update Report as of January 31, 2023, including baseline data collection and transition to post-pilot operations. It references a redacted 2023 Load Forecast Report and a Smart Grid Semi-Annual Report.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 2 Page 2 of 48 Attachment 2 – SGNS Use Case Testing Update Report

AI summary This document is an attachment to the Smart Grid Semi-Annual Report, specifically the SGNS Use Case Testing Update Report, which provides an update on the testing of use cases related to smart grid initiatives.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 2 Page 3 of 48 Attachment 2 – SGNS Use Case Testing Update Report

AI summary This document is an attachment to a Smart Grid Semi-Annual Report, specifically the SGNS Use Case Testing Update Report, which provides an update on the progress and findings related to use case testing within the Smart Grid Nova Scotia (SGNS) initiative.

t and Corresponding ev.energy Grid Signal ...............................24 Figure 22 – Early Example Results from the ev.energy Wind Following Use Case, for the period November 27 to December 1, 2022 .........................................

AI summary The document includes a redacted section from a 2023 Load Forecast Report by Synapse, an attachment from a Smart Grid Semi-Annual Report, and an update report on SGNS use case testing. These documents provide insights into load forecasting, smart grid initiatives, and use case testing related to energy systems.

0010788 – Smart Grid Semi-Annual Report Attachment 2 Page 5 of 48 Attachment 2 – SGNS Use Case Testing Update Report

AI summary This document is an attachment to the Smart Grid Semi-Annual Report, specifically the SGNS Use Case Testing Update Report, which provides an update on the testing of use cases related to smart grid initiatives.

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.

1 Modification first reported in July 2021 Semi-Annual Report. 2 Modification first reported in February 2022 Semi-Annual Report. 3 Modification first reported in July 2022 Semi-Annual Report. Page 6 of 48 . . REDACTED (CONFIDENTIAL INFORM...

AI summary The document discusses modifications to use cases during the reporting period, including the addition of the Wind Following use case for ev.energy and the BMS10 – Critical Peak Reduction use case to the C&I BMS program. Baseline data collection for smart chargers began in January 2021 and excludes test events, providing insights into energy consumption patterns.

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.

(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.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 2 Page 26 of 48 Attachment 2 – SGNS Use Case Testing Update Report The ability to respond to 10-minute operating reserve generation contingency events was proven technically successful...

AI summary The report discusses the technical success of responding to 10-minute operating reserve generation contingency events using EVSE5. It highlights the Estimated Average Shed per Event (0.83 kW) and notes that fewer vehicles were charging during contingency events. Testing plans include curtailing chargers to 0 kW during such events, with automated methods currently in development.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 2 Page 42 of 48 Attachment 2 – SGNS Use Case Testing Update Report S V / P W6 – C OLD LOAD PIC KUP RELIEF This test will dispatch residential batteries for a short time following an ex...

AI summary The report outlines various smart grid use case tests, including cold load pickup relief, distribution feeder congestion management, and partial home or critical load backup. Testing for these use cases has been conducted, with some functionalities not yet fully operational. Storm preparations have been made to ensure battery readiness during weather events.

ts to minimize customer impact during events, which is indicated by ‘Pre-Peak Signal.’ Measurement and verification (M&V) of February testing was completed by the E1/NS Power Demand Response Working Page 45 of 48 . . REDACTED (CONFIDENTIAL...

AI summary The document discusses efforts to minimize customer impact during demand reduction events using the 'Pre-Peak Signal.' M&V of February testing was completed using AMI data. Investigations into increasing load reduction capacity are ongoing, focusing on existing integrated equipment at three customer sites.

• EV charger discharge power (kW) • System Average Interruption Duration Index (for the Partial or Whole Home • Value of discharge capacity and Notification to customers when sample of customers enrolled in the Smart Grid NS Backup • EVSE...

AI summary The text discusses technical aspects of EVSE (Electric Vehicle Supply Equipment) functionality, including discharge power, backup capabilities, and V2G (Vehicle-to-Grid) features. It also mentions metrics such as the System Average Interruption Duration Index and customer notifications related to outages within the Smart Grid NS Project.

he sample of customers enrolled in the Smart Grid NS Project) Economic Dispatch • Day-ahead generation planning Customer charges as Load Leveling (e.g. Peak (EVSE1) EV Control based on: • Curtailment of EV charge • Utility event statistics...

AI summary The text discusses aspects of the Smart Grid NS Project, including economic dispatch, day-ahead generation planning, load leveling, and EV control based on energy delivered and the value of load curtailment.

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.

• Battery discharge power (kW) Partial Home or Critical • System Average Interruption Duration Index (for the • Value of battery discharge capacity Battery out-of-the-box Notification to customers when Load Backup sample of customers enrol...

AI summary The text discusses battery functionality, including discharge power, backup load, and system interruption metrics. It mentions battery performance parameters, such as time delay for partial home backup and the value of battery discharge capacity, in the context of a Smart Grid NS program.

ually via local control PW8 sample of customers enrolled in the Smart Grid NS Project)

AI summary The text references a sample of customers enrolled in the Smart Grid NS Project, indicating an initiative related to advanced metering infrastructure and grid modernization.

• Connection Status & Alarm Status - The availability of PV Inverters for control during each test (including communication to the PV Inverters, and the customer participation level) • Feeder Voltage (V), Current (A) and Load (MVA) • PV In...

AI summary The text outlines parameters for monitoring and managing PV inverters during testing, including connection status, communication, voltage, current, load, signal latency, and control modes. It also mentions deferred distribution and optimal control schedules.

• Target reactive power setpoint versus actual reactive power setpoint measured (%) . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 70 of 205 CI C0010788 – Smart Grid Semi-Ann...

AI summary The text includes a redacted section from a 2023 Load Forecast Report and a Smart Grid Semi-Annual Report, focusing on reactive power setpoints and other technical details related to grid management and load forecasting.

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 measuring outcomes, value streams, and technical and functional data related to DER control variables. It includes baseline and test scenarios, emphasizing system reliability, grid stability, and customer benefits.

• Target real power setpoint versus actual real power setpoint measured (%) Inverters

AI summary The text discusses the comparison between target real power setpoints and actual real power setpoints measured in percentage, specifically in the context of inverters.

for power factor correction while System Upgrades • PV Inverter control signal latency (seconds) • PV Inverter Reactive Power Output (kVAR) $/kWh, $/kVAR, $/kVARh) None Pilot 2/R3B Correction (Power Quality) functionality to achieve power...

AI summary The text discusses system upgrades related to power factor correction and PV inverter functionality, including metrics such as control signal latency, reactive power output, and forecasted versus actual PV output. It also mentions value-stacking with other grid services and power quality considerations.

• Curtailment of controlled • Connection Status & Alarm Status - The availability of BMS for control during each test (including Customer runs equipment as Building Generation Contingency (10 • Aggregated controlled load (kW) Curtailment o...

AI summary The text discusses aspects of building management systems (BMS) and their role in controlling customer equipment during contingency events, including communication latency, customer participation, and load management. It references controlled load curtailment, marginal generation cost, and net customer load.

(e.g. decreased • BMS monitoring signal latency (seconds) • Value of load curtailed ($/kW, compared with system peaks None Pilot 2/R3C Systems Industrial Rate (BMS5) • System load (MW) satisfy 10 minute operating reserve Capacity temperatu...

AI summary The text discusses metrics related to Building Management Systems (BMS) monitoring and control signal latency, load curtailment values, and system load in the context of an industrial rate (BMS5). It includes data points such as system load in MW and aggregated load curtailed in kW.

• Curtailment of controlled • Connection Status & Alarm Status - The availability of BMS for control during each test (including Customer runs equipment as • Aggregated controlled load (kW) Curtailment of equipment in Critical Peak Reducti...

AI summary The text discusses aspects of critical peak reduction, including curtailment of controlled load, connection status, alarm status, and the role of BMS in monitoring and controlling customer equipment during tests. It also references critical peak pricing and factors like marginal generation cost and net customer load.

(e.g. decreased • BMS monitoring signal latency (seconds) • Value of load curtailed ($/kW, compared with system peaks None Pilot 2/R3C • System load (MW) Peak event being called in order to Capacity BMS10 temperature or dP setpoints, • BMS...

AI summary The text discusses BMS monitoring and control signal latency, response time to curtailment, and the value of load curtailed during peak demand events, with a focus on understanding the impact of load management strategies.

nt 5 Page 2 of 14 Attachment 5 – SGNS Project Lessons Learned SGNS PROJECT LESSONS LEARNED TABLE OF CONTENTS

AI summary The document presents an attachment titled 'SGNS Project Lessons Learned,' which outlines key takeaways from the Smart Grid Network System (SGNS) project. It includes a table of contents, indicating a structured review of the project's outcomes and insights.

............................................12 25. Coritech Data Extract – Time Intervals Vary Based on Channel......................................................12 26. Coritech Charger Commissioned with Coritech-owned Modem...............

AI summary The document includes technical details about Coritech data extraction, charger commissioning, and Smart Grid Network System (SGNS) project lessons learned, including integration monitoring, error notification, and availability of V2X capable EVSE in Canada.

.................................................................................13 28. Availability of Certified V2X Capable EVSE for Canadian Residential Market...............................13 Page 3 of 14 . . REDACTED (CONFIDENTIAL INF...

AI summary The SGNS Project encountered issues with ChargePoint accounts created before June 2019, where data was stored on a USA server, preventing data collection by the Canadian dashboard. The issue was resolved through communication with affected customers and support from ChargePoint to transfer data to the Canadian server.

nt 5 Page 5 of 14 Attachment 5 – SGNS Project Lessons Learned Figure 2 – ChargePoint Dashboard Depicting Tesla Vehicle Behaviour The curtailment of charging at 18:00, shown by the blue and black lines, triggered the vehicle to go into a re...

AI summary The SGNS Project Lessons Learned document discusses the deployment of an alternative EV charging management system by NS Power, and highlights the need for customization when implementing the OpenADR standard. It also notes the importance of aligning on integration architecture and standards with vendors.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 5 Page 7 of 14 Attachment 5 – SGNS Project Lessons Learned scheduled jobs to consume data from the SFTP site. The project team continues to explore deeper analysis methods to ensure in...

AI summary The SGNS project team is analyzing data using Tableau and integrating additional data sources to enhance reporting. Some residential battery customers installed solar systems without notifying NS Power, creating safety risks, and the team has implemented processes to identify and address such installations.

ncy output remotely to avoid this. Two customers have reported this issue. This issue has been resolved for the two customers who reported the issue, and a solution identified for future customers. Page 7 of 14 . . REDACTED (CONFIDENTIAL I...

AI summary Two customers experienced issues with remote communication to residential battery devices, which were resolved. The devices were transitioned from a private network to the public cellular network after security assessments, resulting in improved performance.

r will document the sample chosen for the torque checks to avoid picking the same samples. • NS Power will proactively consider retorque the whole site ahead of major wind and/or weather event. 18. Supporting New Assets through Severe Weat...

AI summary The text discusses operational considerations for smart grid platforms during severe weather, the prioritization of 'ready by' time in EV charging algorithms, and limitations in reactive power control for C&I battery energy storage systems under zero export mode. NS Power is proactively managing these challenges.

properly, and any potential risks are addressed. Identifying and evaluating multiple solutions is important for pilot programs as the standard, or first approach, may not be the most effective one. 23. C&I Building Management System ( Desi...

AI summary The text discusses an issue with the ESP not sending the duration signal to the BMS during load reduction events, leading to the BMS remaining in non-standard operating modes. A permanent workaround was implemented by Siemens through the use of timers on the Desigo BMS server.

CI C0010788 – Smart Grid Semi-Annual Report Attachment 5 Page 12 of 14 Attachment 5 – SGNS Project Lessons Learned • After 1 hour and 5 minutes in ‘mode 1’ without ESP intervention, the BMS will automatically be switched to ‘mode 2,’ as if...

AI summary The document outlines the behavior of the BMS in different modes and describes telemetry outages experienced at Desigo sites, which impact data collection and signal transmission. Siemens has implemented a process to identify and resolve these outages, including monitoring, verification steps, and restarting services as needed.

tart any service as required. Step 4 – if the ‘outage’ relates to the Site Local Network then the down time will depend on the availability of Site Local Network Administrator. Implementation of a notification system and an accompanying pr...

AI summary The text discusses the implementation of a notification system and process for restoring telemetry, highlighting agile solutions and design adjustments. It also addresses issues with the Coritech bidirectional charger's data extraction functionality in NSCC's BMS, noting the lack of standardized time intervals and plans to address this in Q1 2023.

Report Date: 2022-08-10 Unrestricted Page 1 of 15 Document # PM-FM-011 Version 5 2022-07-22 . . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 96 of 205 REDACTED CI C0010788 –...

AI summary The document outlines project activities related to the Energy Services Platform (ESP), Microgrid Control Platform (MCP), and the Shediac Smart Energy Community Demonstration, as part of a Smart Grid Nova Scotia Demonstration. It includes progress percentages, status, and comments for each activity.

d at two customer sites (ground mounts), the third site final inspection is booked electrical as built drawings have been issued for all 3 sites (revision by NS Power is currently in progress) Battery Storage • Battery installations were c...

AI summary The text provides an update on the progress of various energy projects, including battery installations, EV charger integration, and microgrid demonstrations. It notes that most installations are complete, with some ongoing work and testing. The Tobique Microgrid Demonstration is mentioned but no details are provided.

tivity #4: Tobique Microgrid Demonstration % Completion Status Comments Details of Activity Performed • Unrestricted Page 4 of 15 Document # PM-FM-011 Version 5 2022-08-10 . . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load...

AI summary The document outlines several activities related to energy projects in Nova Scotia, including the Tobique Microgrid Demonstration, North Branch Smart Energy Development, and Program Governance and Management. It also mentions the Energy Services Platform and Microgrid Control Platform software development, as well as the Shediac Smart Energy Community Demonstration. These activities are in various stages of completion.

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.

id Semi-Annual Report Attachment 6d Page 12 of 15 NS Power: I, Sanjeev Pushkarna, certify that to the best of my knowledge and understanding all information contained in this Report is accurate. August 17, 2022 Nova Scotia Power Incorporat...

AI summary The document includes a semi-annual report from Nova Scotia Power, with a certification statement by Sanjeev Pushkarna, Senior Program Manager, Smart Grid, and references to a redacted 2023 Load Forecast Report and a Gantt chart. The content is partially redacted and includes document identifiers and page numbers.

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.

Report Date: 2022-11-07 Unrestricted Page 1 of 15 Document # PM-FM-011 Version 5 2022-11-07 . . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 114 of 205 REDACTED CI C0010788 –...

AI summary The document outlines several projects related to energy services and smart grid initiatives, including the development of an Energy Services Platform (ESP) and Microgrid Control Platform (MCP), the Shediac Smart Energy Community Demonstration, and the Smart Grid Nova Scotia Demonstration. Progress and details of activities performed are outlined, though much of the content is redacted.

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.

ctivity #5: North Branch (previously Halls Creek) Smart Energy Development % Completion Status Comments Unrestricted Page 4 of 15 Document # PM-FM-011 Version 5 2022-08-10 . . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load...

AI summary The text outlines several activities related to smart energy development in Nova Scotia, including the North Branch Smart Energy Development, Program Governance and Management, Energy Services Platform (ESP) and Microgrid Control Platform (MCP) software development, Shediac Smart Energy Community Demonstration, and Smart Grid Nova Scotia Demonstration. These activities are part of a larger project with ongoing status and completion percentages noted.

id Semi-Annual Report Attachment 7d Page 12 of 14 NS Power: I, Sanjeev Pushkarna, certify that to the best of my knowledge and understanding all information contained in this Report is accurate. Nov 10, 2022 Nova Scotia Power Incorporation...

AI summary The document contains a semi-annual report from Nova Scotia Power, including a certification by Sanjeev Pushkarna, a Gantt chart, and references to a redacted load forecast report and a smart grid report. The content includes restricted and confidential information.

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.

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

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

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

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

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).

PCT, etc.) Treaty filing? CA, etc.) (YYYY-MM-DD) IP? WO, etc.) or provide hyperlink) . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 168 of 205 CI C0010788 – Smart Grid Semi-A...

AI summary This document is a project information report for Nova Scotia Power Inc.'s Collaborative Grid Innovation for Atlantic Smart Energy Communities project under the Green Infrastructure – Smart Grids program. The project is led by Sanjeev Pushkarna and was submitted in July 2022, with a completion date of July 31, 2023.

oducts include press releases, news coverage, etc. Did you produce or contribute to any knowledge products this year? Yes (Do not include media products in this response) Product Type Description/Weblink Media product, Media https://www.yo...

AI summary The text lists knowledge products created or contributed to by the entity, including presentations and lunch-and-learn sessions, and references a REDACTED Load Forecast Report and a Smart Grid Semi-Annual Report, along with a Natural Resources Canada EVID Annual Performance Report.

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.

(Automatic) Fiscal Year End: 2020-12-31 Project Details Project start date (format YYYY-MM-DD) 2018-09-14 Estimated project completion date (format YYYY-MM-DD) 2023-03-31 Guidance and Definitions Project Name Smart Grid Atlantic SIF Stream...

AI summary The Smart Grid Atlantic project, under the SIF Stream 1, started on September 14, 2018, with an estimated completion date of March 31, 2023. It does not support a new or retained R&D or production mandate and the organization is not acting as an intermediary on this project.

(2) No funded project between Jan 2020 and Dec 2020? Guidance and Definitions Innovation Valid 1) Between Jan 2020 and Dec 2020,has your business or institution developed any new or (2) No significantly improved products as a result of the...

AI summary The text contains a series of questions regarding the development of new or significantly improved products and services between January 2020 and December 2020, with responses indicating 'No'. It also includes references to redacted confidential information and attachments from reports related to load forecasting and smart grid initiatives.

Additional Commitments Type Other Additional Commitments Description 6.2.3 Conferences and Collaborations. (a) The Recipients will host a national conference to demonstrate the benefits and share the lessons learned of the project and to e...

AI summary The Recipients are required to host a national conference every two years starting in 2021 to promote smart grid applications and share project benefits and lessons learned. All major Canadian utilities and other stakeholders are invited to attend. The outcomes of these collaborations will be reported to ISED.

IR-30 Attachment 1 Page 105 of 355 Nova Scotia Energy Efficiency and Demand Response Potential Study for 2021-2045 small commercial and small industrial customers, and Auto-DR for the remaining customer classes). Industry experience sugges...

AI summary The document discusses demand response (DR) programs, including Critical Peak Pricing (CPP) and Behavioural Demand Response (BDR), and their assumptions for potential and cost-effectiveness. It highlights the need for smart meters and opt-in participation, with the start of CPP in 2022 following smart meter deployment.

2023 38.3% 15.5% 24.2% 4.9% 8.4% 5.8% 1.1% 1.7% 0.0 2032 52.2% 11.7% 13.8% 3.0% 6.1% 4.8% 0.8% 1.3% 0.1 Please note that all values are in MW. REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report (NSUARB M11108) NSPI Respo...

AI summary This document outlines a series of information requests related to the 2023 Load Forecast Report, focusing on peak demand, AMI coverage, data collection timelines, and the impact of DSM on residential load. The requests include details on interval data, loss levels, and the use of smart meter data in future forecasts.

2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Synapse Energy Economics Information Requests NON-CONFIDENTIAL 1 Response IR-31: 2 3 (a) The Load Research analysis presented in Section 10 is based on the premise that the hourly...

AI summary NSPI's response to Synapse Energy Economics' information request discusses the methodology for load forecasting, including the use of load research data and the integration of interval data. It outlines the current SAE model, the use of AMI data, and the planned evaluation of peak demand forecasting methods starting in 2024.

the Industrial class has 75 meters. The rest of the 21 classes are fully sampled. The available AMI data by class as of April 1, 2023, is set out 22 in the table below: 23 24 Date Filed: June 20, 2023 NSPI (Synapse) IR-31 Page 2 of 5 REDAC...

AI summary The document discusses the distribution of meters across different classes, noting that the Industrial class has 75 meters while others are fully sampled. It references the 2023 Load Forecast Report and NSPI's responses to Synapse Energy Economics' information requests.

lausible, although there are many uncertainties, and some aspects need refinement. There should be more discussion of the underlying factors causing peak growth and what can be done to mitigate it. 4. PEAK DEMAND RESEARCH The exploration o...

AI summary The document discusses the need for more refined analysis of peak demand growth and the importance of using interval data and AMI/LRS data to improve forecast accuracy. Sensitivity analyses are presented, highlighting temperature and economic factors as key uncertainties affecting load forecasts.

Evidence Regarding Nova Scotia Power’s 2023 Load Forecast 27 7. QUESTIONS AND RECOMMENDATIONS In this Evidence we ask for further clarifications and make several recommendations: 1. We ask that NSPI explore the benefits of increasing DSM l...

AI summary The document requests clarifications and recommendations for Nova Scotia Power regarding its 2023 load forecast, including exploring increased DSM levels, analyzing heat pump impacts, leveraging water heater demand response data, and addressing EV adoption and load management strategies.

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.

9 curtailment as outlined in NS Power’s 2020 IRP, and an assumed reduction in peak related to 30 managed EV charging. Several projects are in progress to evaluate the impact of new technologies, DATE FILED: September 14, 2023 Page 7 of 25...

AI summary The 2023 Load Forecast Report discusses ongoing projects like SGNS and water heater control, technologies such as battery storage and heat pumps, and the impact of rate design on energy consumption. Intervenors requested inclusion of project data in forecasts, while heat pump displacement of heating sources and rate design effects are highlighted as key areas for future analysis.

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

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

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.

he peak forecasting method; and • performing future sensitivity analysis based on actions to reduce projected peak increases using newly available technology. NS POWER REBUTTAL EVIDENCE In its rebuttal evidence, NS Power addressed the conc...

AI summary NS Power addresses intervenors' concerns about peak forecasting methods, confirming its approach to EV charging impacts and transformer sizing. The company uses AMI data and customer demographics to model distribution systems, while responding to Synapse's recommendations on residential peak forecasts and heat pump integration, noting data limitations for bottom-up forecasting.

are important to discuss in the initial stakeholder meeting. It is helpful if NS Power shares how potential impacts were evaluated and what was incorporated into the forecast early in the process. Document: 308584 -6- The Board notes that...

AI summary The Board acknowledges NS Power's agreement with Intervenor's recommendations and directs the implementation of specific Load Forecast improvements, including IRP, AMI, TVP Pilot outcomes, and carbon emission model reviews. It encourages evaluating model elasticity and input variables for robustness.

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

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

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

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

ased on Table A1 in each annual report starting with prior year actual 2 Based on Table A2 in 2022 and 2021 Load Forecast reports and in Table A3 in each annual report from 2015 to 2020 and 2023 Document: 308584 -3- The load forecast is a...

AI summary The document emphasizes the critical role of load forecasting in NS Power’s planning and operations, noting past Board concerns about accuracy. It references the 2022 Board Decision (M10569) and stakeholder consultations addressing forecasting methods, including temperature modeling, solar adjustments, and Smart Grid project integration.

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.

he peak forecasting method; and • performing future sensitivity analysis based on actions to reduce projected peak increases using newly available technology. NS POWER REBUTTAL EVIDENCE In its rebuttal evidence, NS Power addressed the conc...

AI summary NS Power's rebuttal evidence addresses intervenors' concerns regarding peak forecasting methods, EV charging load modeling, and transformer sizing. The company confirmed reliance on current EV charging data, plans to use AMI meter data for distribution modeling, and acknowledged limitations in developing detailed end-use forecasts due to data gaps.

are important to discuss in the initial stakeholder meeting. It is helpful if NS Power shares how potential impacts were evaluated and what was incorporated into the forecast early in the process. Document: 308584 -6- The Board notes that...

AI summary The Board acknowledges NS Power's agreement to implement recommendations for improving the Load Forecast, including IRP, AMI, and TVP Pilot outcomes. It directs NS Power to evaluate model assumptions, historical load data, and residential model inputs, and to assess the SAE model's elasticity using data from matter M11267.