Topic:"Electricity Generation" in M10569

Page 13 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2022 Load Forecast Report REDACTED 1 • A discussion of the economic inputs to the residential model is provided in Section 2 4.3. 3 4 Summary of Stakeholder Consultations 5 6 On Apr...

AI summary NS Power conducted a stakeholder session on April 13, 2022, discussing updates to the 2022 Load Forecast, including impacts of COVID-19, EV forecasts, space heating, peak savings assumptions, and methodology from Energy and Environmental Economics, Inc. Stakeholders included NSUARB, Synapse, EfficiencyOne, and others.

ell as smaller appliances such as computers, dehumidifiers, 28 microwaves, etc. This category also includes solar generation (photovoltaic or PV) 29 and EV forecasts. 30 DATE: April 29, 2022 Page 49 of 98 REDACTED (CONFIDENTIAL INFORMATION...

AI summary The document discusses residential and commercial end-use intensities, including trends in heating, cooling, and appliance usage. It highlights the increasing use of heat pumps and the impact on energy demand, as well as the slow decline in lighting and refrigeration due to improved efficiency. Supporting data is referenced in an attachment.

2022 Load Forecast Report REDACTED 1 Figure 33: Historical and Projected General Commercial End-Use Intensity 2 (kWh/m2) 3 4 5 Supporting data for General commercial end-use intensities is included in Attachment 3. 6 7 For the 2022 Load Fo...

AI summary The 2022 Load Forecast Report discusses historical and projected general commercial end-use intensity, noting increased heat pump penetration. It highlights growth in the commercial and industrial sectors due to electrification programs aimed at reducing emissions and energy usage.

Page 59 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2022 Load Forecast Report REDACTED 1 forecast is that there will be a certain amount of continued work-from-home load, likely 2 through hybrid work models. 3 4 Apart from the shift...

AI summary The 2022 Load Forecast Report discusses the impact of increased work-from-home trends, higher EV penetration, and electric space heating on long-term load forecasts. These factors are expected to influence load patterns starting around 2025, with new customer growth offsetting some efficiency gains and solar generation.

1 10.0 PEAK DEMAND 2 3 The total system peak is defined as the highest single hourly average demand experienced 4 in a year. It includes both firm and interruptible loads. Due to the weather-sensitive load 5 component in Nova Scotia, the t...

AI summary The text defines total system peak demand and explains how NS Power forecasts peak demand using an end-use approach. It includes peak mitigation strategies such as EVs and demand response (DR) activities, referencing the 2020 Integrated Resource Plan (IRP) and DSM Potential Study. DR programs like Direct Load Control and Critical Peak Pricing are highlighted.

r vehicle segment X, year Y driving statistics 5 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2022 Load Forecast Report Appendix E Page 6 of 8 Profiles for light-duty vehicle drivers were developed to inform future charging patterns  The d...

AI summary The document outlines the development of light-duty vehicle (LDV) driving profiles based on National Household Travel Survey data, assuming representative driving patterns in Nova Scotia. These profiles are used to inform future EV charging patterns and are input into the EV Load Shape Tool. The average annual mileage is based on historical Nova Scotia VMT statistics.

Demand Forecast (2022 Load Forecast Report) (NSUARB M10569) NSPI Responses to EfficiencyOne Information Requests NON-CONFIDENTIAL 1 Request IR-8: 2 3 Reference: NS Power 2022 Load Forecast, page 37, lines 4-6 and page 38, Figure 22. 4 5 “E...

AI summary NSPI's 2022 Load Forecast shows a 52% commercial electric heating share estimate versus E3's 27%, prompting EfficiencyOne to request modeling assumptions, current share estimates by heat pump type, and reasons for model calibration discrepancies. NSPI refers to NSUARB IR-9 for forecast differences, notes data limitations, and states trajectories are calibrated for similar increases.

Energy and Demand Forecast (2022 Load Forecast Report) (NSUARB M10569) NSPI Responses to NSUARB Information Requests NON-CONFIDENTIAL

AI summary This document outlines NSPI's responses to information requests from the NSUARB regarding the 2022 Load Forecast Report, focusing on energy and demand forecasts.

nd 90 percent for 12 dryers by 2032. Miscellaneous loads represent small plug loads, and these are expected to increase 13 faster than efficiency gains as more electronic devices are purchased. Date Filed: July 8, 2022 NSPI (NSUARB) IR-35...

AI summary The response to IR-36 explains that the significant growth in energy and demand forecasts after 2022 is primarily due to increased expectations for space heating and EV adoption, driven by carbon reduction targets.

emand Forecast (2022 Load Forecast Report) (NSUARB M10569) NSPI Responses to Small Business Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-4: 2 3 Please refer to page 10 of the Filing: What are the underlying assumptions for t...

AI summary NSPI's response to an information request about the 10% increase in system peak demand from 2021 attributes the growth to the electrification of space heating and increased EV sales, driven by government emission reduction targets. Supporting documentation is referenced in Figure 58 and Synapse IR-42.

nd Forecast (2022 Load Forecast Report) (NSUARB M10569) NSPI Responses to Small Business Advocate Information Requests NON-CONFIDENTIAL 1 Request IR-14: 2 3 Please refer to Figure 32 on Page 51. 4 5 (a) Please confirm that commercial heat...

AI summary NSPI confirms that commercial heat pump adoption is included in the 'Heat' and 'Cool' categories in Figure 32 but commercial electric vehicle adoption is not included in the commercial model. EV load is included in the residential model and will be reallocated to the commercial class in the 2023 forecast, with increasing impacts from 2025 to 2032.

REDACTED (CONFIDENTIAL INFORMATION REMOVED) 10 - Year Energy and Demand Forecast (2022 Load Forecast Report) (NSUARB M10569) NSPI Responses to Synapse Energy Economics Inc. Information Requests NON-CONFIDENTIAL 1 Request IR-1: 2 3 Report T...

AI summary The document details NSPI's responses to Synapse Energy Economics Inc.'s information requests regarding the 2022 Load Forecast Report (NSUARB M10569). It includes provision of historical sales data, energy usage metrics, load data, and unmetered sales information, with specific references to attachments and figure listings.

Year Month ResEndUse.ResOther NResEndUse.SmlGenOther NResEndUse.GenOther Sales.SmlInd Sales.MedInd Sales.Unm mVars.OthrUse mVars.Days mVars.Other_AvgMW 2015 11 202,384.0 18,190.6 169,835.9 19,678.4 38,704.9 6,911.4 440,487.7 30.0 611.8 201...

AI summary The text presents a table with data spanning multiple years and months, including various metrics such as sales, usage, and other variables. The data appears to be related to energy consumption and sales, possibly within the context of a regulatory proceeding.

wind speed is not much higher than without. Because the p-value for both variables is 19 practically zero, the model results indicate that adding wind speed results in a better model. 20 Table 1: Load Regression Statistics Without Wind Spe...

AI summary A regression model demonstrates that incorporating wind speed improves load prediction accuracy, raising R-square from 85.5% to 86.4%. Wind speed can add up to 2,769 MWh to daily load, suggesting its inclusion in ELCC calculations for wind power resources.