CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 Figure 18: Commercial Economic Drivers 2
AI summary The document provides a redacted section of the 2023 Load Forecast Report, focusing on commercial economic drivers as illustrated in Figure 18. Key details are not visible due to confidentiality.
ED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 Figure 19: Industrial Economic Drivers 2
AI summary The document contains a redacted section of the 2023 Load Forecast Report, specifically Figure 19, which discusses industrial economic drivers. The content has been redacted, so no detailed information is available.
Page 66 of 98 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report REDACTED 1 by institutional facilities, in particular expansions at several hospital sites in the province, 2 though at a slower pace than in the 2022 fore...
AI summary The 2023 Load Forecast Report indicates a projected increase of approximately 33 GWh by 2033, driven primarily by institutional facilities, particularly hospital expansions, though at a slower rate than the 2022 forecast. This is illustrated in Figure 48.
23 Load Forecast Report Appendix B Page 14 of 33 Appendix B – Forecast Model Details Small General Input Variables – XCool Intensities Econ + Struct Regression Cooling CoolUse Variable Coefficient Scaling Factor Total XCool (kWh) 2023 36,3...
AI summary The text provides details on small general input variables used in the Load Forecast Report, specifically focusing on XCool and XOther. It includes values for different years and the percentage changes, along with the formula for calculating XCool.
2,212 2021 2,225 Actual System Peak: 2,033 2,118 2015 2111 2,018 2,073 2,060 2050 1968 2216 Percent Error 2012 3.2% -1.2% 3.4% -1.8% 2.6% -0.4% 0.2% 0.7% 4.7% -7.3% 2013 -1.9% 3.7% -1.2% 3.2% 0.1% 1.1% -5.0% -1.3% -12.8% 2014 3.1% -2.3% 2....
AI summary The text presents historical data on actual system peak and percent error for various years, indicating fluctuations in system performance and accuracy over time. The data spans from 2012 to 2021 and includes percentages representing errors in system peak estimates.
2 2023 Load Forecast Report (NSUARB M11108) NSPI Responses to NSUARB Information Requests NON-CONFIDENTIAL 1 Request IR-26: 2 3 In reference to matter M11084 PLT Staffing Levels and Reliability of Service 2023 Report, 4 Exhibit N-2, IR-1 r...
AI summary NSPI responded to NSUARB's request regarding staffing levels and service reliability, addressing customer-driven work increases and service upgrades. NSPI noted that panel sizes are only known upon service upgrades and that service work is forecasted at an aggregate level.
5.5 4.9 4.6 4.0 4.8 5.0 5.1 6.5 6.3 6.8 6.2 6.7 6.6 7.6 7.4 8.3 7.5 7.3 7.7 7.5 Shares (%) Electricity 31.8 32.4 32.6 34.2 36.8 38.6 36.9 33.4 33.5 33.0 32.4 31.2 34.3 36.9 38.6 37.6 41.7 42.2 41.2 41.4 Natural Gas 0.0 0.0 0.0 0.0 0.0 0.0...
AI summary The text presents statistical data on energy usage shares and activity metrics across various energy sources and housing statistics from 2001 to 2020. It details percentages of electricity, natural gas, heating oil, and other energy sources, alongside total floor space and total households in thousands.
1.3 1.3 1.4 1.3 1.2 1.1 1.1 1.3 1.4 1.4 1.4 1.5 1.3 1.2 1.2 1.2 1.1 1.1 1.1 1.2 Shares (%) Single Detached 80.3 80.3 80.3 80.3 80.1 80.0 79.9 79.7 79.7 79.7 79.7 79.7 79.6 79.4 79.3 79.2 79.0 78.8 78.7 78.6 Single Attached 6.1 6.1 6.1 6.1...
AI summary The text presents statistical data on housing types and energy usage trends, including shares of different housing categories and total floor space, along with energy intensity measurements over time. The data suggests a shift in housing distribution and changes in energy efficiency.
Total Space Heating Energy Use (PJ) 27.4 28.7 29.5 27.4 26.1 24.3 24.3 28.5 30.3 31.5 30.7 33.6 28.5 28.0 27.2 28.7 24.8 25.7 26.6 26.9 Energy Use by Vintage (PJ) Before 1946 9.1 9.4 9.6 8.8 8.2 7.5 7.4 8.6 9.1 9.3 9.0 9.8 8.2 7.9 7.6 7.9...
AI summary The text provides a table showing total space heating energy use in PJ over time, broken down by building vintage. It outlines energy use trends for different periods, showing fluctuations in consumption across various building age categories.
2023 Load Forecast Report Synapse IR-6 Attachment 1 Page 11 of 44 Residential Sector Nova Scotia Table 8: Space Heating Secondary Energy Use by System Type 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 201...
AI summary This section of the 2023 Load Forecast Report from Synapse IR-6 provides data on residential sector space heating secondary energy use by system type in Nova Scotia from the years 2000 to 2019.
(GJ/m ) 0.59 0.61 0.62 0.56 0.52 0.48 0.47 0.54 0.57 0.58 0.56 0.60 0.50 0.49 0.47 0.49 0.42 0.42 0.43 0.43 Heat Gains (PJ) 2.5 2.7 2.9 2.8 2.9 2.7 2.4 2.5 2.8 2.9 2.6 2.8 2.5 2.7 2.9 3.0 2.9 3.2 3.1 3.3 Heating Degree-Day Index 0.94 0.94...
AI summary The text presents data related to heat gains, heating degree-day index, and space heating GHG emissions by system type in Nova Scotia from 2000 to 2019. The data includes metrics such as energy consumption and emissions, but no explicit arguments or claims are made.
0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.2 0.2 0.2 0.2 0.2 0.2 0.2 Shares (%) Single Detached 72.1 72.0 72.0 71.9 72.1 72.3 72.4 72.5 72.0 71.4 70.8 70.2 70.1 70.1 70.0 70.1 70.1 70.0 70.0 69.9 Single Attached 7.1 7.2 7.2 7.3...
AI summary The text presents statistical data on household distribution and energy intensity over time, showing changes in the percentage of different types of housing and energy consumption per household. This data may be used for planning and policy-making related to energy use and distribution.
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Total Households (thousands) 359.5 362.6 366.6 370.6 374.0 377.0 379.6 382.9 387.9 392.5 389.8 391.2 393.4 393.3 397.0 400.0 402.0 406.0 41...
AI summary The text presents a table showing the total number of households in Nova Scotia from 2000 to 2019, categorized by building type, including single detached, single attached, apartments, and mobile homes. The data reflects trends in household distribution across different types of housing over time.
4.0 4.0 4.0 3.9 3.9 3.9 3.9 3.8 3.8 3.8 3.8 3.7 3.7 3.7 3.7 3.7 3.6 3.6 3.6 3.6 Households by Energy Source (thousands) Electricity 91.3 93.1 92.1 92.8 94.6 94.8 96.1 96.8 98.5 101.8 101.9 102.8 105.1 105.1 106.1 106.9 107.4 108.5 109.7 11...
AI summary The text presents data on the number of households by energy source over time, showing trends for electricity, natural gas, heating oil, other, and wood. The data indicates increasing usage of electricity and wood, while natural gas remains at zero.
Total Single Detached Housing Stock (thousands) 255.8 257.9 260.4 263.8 266.4 269.2 271.7 274.0 276.4 278.2 280.3 282.0 283.6 285.2 286.3 287.3 288.2 290.8 292.5 294.0 Stock by Vintage (thousands) Before 1946 58.5 57.6 56.7 55.9 55.0 54.2...
AI summary The text presents data on the total single detached housing stock in Nova Scotia from 2000 to 2020, categorized by construction vintage. The data shows a steady increase in the total stock over time, with varying growth rates across different construction periods.
2 (million m ) 35.2 35.7 36.3 37.0 37.7 38.3 39.0 39.6 40.2 40.8 41.3 41.9 42.3 42.8 43.2 43.5 43.8 44.4 44.8 45.1 Vintage (million m 2 ) Before 1946 8.2 8.2 8.2 8.2 8.2 8.1 8.1 8.1 8.1 8.0 8.0 8.0 7.9 7.9 7.8 7.7 7.6 7.5 7.4 7.2 1946–1960...
AI summary The text presents a table showing the distribution of gas utility assets by vintage over time, with data spanning from before 1946 to 2011–2015. The figures represent the volume in million cubic meters for each time period.
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Total Heating System Stock (thousands) 377.9 381.4 385.3 390.5 395.2 399.5 403.8 408.0 412.3 415.8 419.4 422.8 426.3 430.8 433.7 436.3 439....
AI summary The text presents a table showing the total heating system stock in Nova Scotia from 2000 to 2019, categorized by type of housing (single detached, single attached, apartments, and mobile homes). The data indicates a steady increase in the number of heating systems across all categories over time.
15.2 15.4 15.5 15.7 15.8 16.0 16.2 16.3 16.4 16.5 16.6 16.7 16.8 16.9 17.0 17.0 17.1 17.2 17.3 17.4 Shares (%) Single Detached 67.7 67.6 67.6 67.5 67.4 67.4 67.3 67.2 67.0 66.9 66.8 66.7 66.5 66.2 66.0 65.8 65.6 65.2 65.0 64.7 Single Attac...
AI summary The table presents data on the distribution of housing types in Nova Scotia, showing percentages for single detached, single attached, apartments, and mobile homes across various years. The data indicates a slight decline in single detached homes and an increase in apartments over time.
Total Single Detached Heating System Stock (thousands) 255.8 257.9 260.4 263.8 266.4 269.2 271.7 274.0 276.4 278.2 280.3 282.0 283.6 285.2 286.3 287.3 288.2 290.8 292.5 294.0 (thousands) Heating Oil – Normal Efficiency 55.2 48.8 41.7 35.9...
AI summary The text presents data on the number of single detached heating systems in Nova Scotia across different efficiency categories and fuel types from 2000 to 2020, showing a gradual shift from heating oil to natural gas and electric systems, with increasing efficiency levels over time.
Shares (%) Heating Oil – Normal Efficiency 26.5 24.3 21.5 18.9 16.9 14.2 11.8 9.7 8.1 6.2 4.7 3.4 2.4 1.6 0.0 0.0 0.0 0.0 0.0 0.0 Heating Oil – Medium Efficiency 28.9 31.1 34.3 36.8 38.5 41.0 43.1 45.1 46.3 47.7 49.0 50.1 50.9 51.6 53.4 53...
AI summary The text presents share percentages for various heating and energy sources over time, indicating trends in usage efficiency and distribution across different categories such as Heating Oil, Natural Gas, Electric, and Heat Pumps. It highlights changes in efficiency levels and their corresponding market shares.
2023 Load Forecast Report Synapse IR-6 Attachment 1 Page 28 of 44 Residential Sector Nova Scotia Table 25: Mobile Homes Heating System Stock by Heating System Type 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014...
AI summary The text presents a table showing the stock of mobile homes heating systems in Nova Scotia from the year 2000 to 2019. The data is part of the 2023 Load Forecast Report by Synapse IR-6, specifically Attachment 1, Page 28 of 44.
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Total Cooling System Stock (thousands) 33.0 25.0 29.0 34.0 38.0 43.0 49.7 65.5 64.0 70.2 77.4 79.8 86.5 91.2 95.8 101.5 106.1 111.3 116.5 1...
AI summary The text provides a historical overview of the total cooling system stock and its distribution by type (room and central) from 2000 to 2019, including the percentage shares of each type over time.
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Total Water Heater Stock (thousands) 377.9 381.4 385.3 390.5 395.2 399.5 403.8 408.0 412.3 415.8 419.4 422.8 426.3 430.8 433.7 436.3 439.2...
AI summary The table presents the total water heater stock in Nova Scotia from 2000 to 2019, categorized into single detached, single attached, apartments, and mobile homes. It shows a steady increase in the number of water heaters across all categories over time.
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 Total Apartments Water Heater Stock (thousands) 82.0 83.1 84.1 85.2 86.6 87.4 88.6 89.8 91.1 92.1 93.0 94.0 95.2 97.3 98.6 99.8 101.3 104.5...
AI summary The document presents a table showing the total number of apartments with various types of water heaters from 2000 to 2019. The data includes electricity, natural gas, heating oil, steam, other, and wood heating sources, with figures in thousands.
Appliance Stock by Appliance Type (thousands) Refrigerator 408 415 421 428 434 439 444 448 452 457 453 452 455 455 459 462 465 469 475 480 Freezer 235 236 238 241 241 243 244 246 248 252 249 250 252 252 254 256 257 260 263 266 Dishwasher 1...
AI summary The text presents data on appliance stock by type over time, showing increasing numbers of refrigerators, freezers, dishwashers, clothes washers, clothes dryers, ranges, and other appliances from 2000 to 2020.
Stock of Electric Appliances (thousands) Refrigerator 408 415 421 428 434 439 444 448 452 457 453 452 455 455 459 462 465 469 475 480 Freezer 235 236 238 241 241 243 244 246 248 252 249 250 252 252 254 256 257 260 263 266 Dishwasher 147 15...
AI summary The text presents a table showing the stock of various electric appliances in Nova Scotia over time, with quantities listed in thousands. The data includes refrigerators, freezers, dishwashers, clothes washers, clothes dryers, ranges, and other appliances, indicating a general increase in the number of appliances over the years.
2023 Load Forecast Report Synapse IR-6 Attachment 1 Page 35 of 44 Residential Sector Nova Scotia Table 32: Gross Output Thermal Requirements per Household by Building Type and Vintage 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010...
AI summary The text presents a table from the 2023 Load Forecast Report by Synapse IR-6, detailing gross output thermal requirements per household in Nova Scotia by building type and vintage from 2000 to 2019.
0.4 0.4 0.3 0.3 0.3 0.4 0.4 0.5 0.5 0.5 0.5 0.5 0.5 0.6 0.6 0.6 0.6 0.6 0.6 0.6 Shares (%) Electricity 32.6 33.3 33.7 35.4 37.9 39.7 38.0 34.4 34.6 34.3 33.8 32.7 35.9 38.5 40.5 39.5 43.4 44.0 42.9 43.2 Natural Gas 0.0 0.0 0.0 0.0 0.0 0.0...
AI summary The text presents a table with data on energy consumption shares and activity metrics over time. It includes percentages for electricity, natural gas, heating oil, other fuels, and wood, as well as total floor space and total households in thousands. The data spans multiple years, showing trends and changes in energy usage and population growth.
y (GJ/m2) 1.34 1.33 1.30 1.33 1.56 1.35 1.20 1.36 1.26 1.12 1.01 1.25 1.19 1.09 1.21 1.24 1.19 1.15 1.10 1.14 Total GHG Emissions for Arts, Entertainment and Recreation Excluding Electricity (Mt of CO2e) 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0...
AI summary The text presents data on energy use and greenhouse gas (GHG) emissions for the Arts, Entertainment, and Recreation sector, excluding electricity. It shows energy consumption in gigajoules per square meter (GJ/m2) and total GHG emissions in megatonnes of CO2e, with all values recorded as zero across all categories and time periods.
y (GJ/m2) 1.96 1.97 1.91 1.94 2.29 2.03 1.79 2.01 1.87 1.61 1.40 1.76 1.80 1.64 1.80 1.85 1.78 1.73 1.69 1.71 Total GHG Emissions for Accommodation and Food Services Excluding Electricity (Mt of CO2e) 0.1 0.1 0.1 0.1 0.2 0.2 0.1 0.1 0.1 0....
AI summary The text provides a series of numerical data points related to energy use and greenhouse gas emissions for accommodation and food services, excluding electricity. The data includes metrics such as energy use in gigajoules per square meter and total greenhouse gas emissions in megatonnes of CO2 equivalent, categorized by end use.
1.1 1.3 1.1 1.0 0.8 0.7 0.9 0.7 1.1 1.3 1.1 0.9 0.8 0.6 0.8 0.9 0.7 0.5 0.4 0.4 Shares (%) Electricity 2.3 1.7 1.6 2.5 5.8 5.6 5.4 5.7 5.6 7.4 14.0 9.3 5.8 5.0 5.3 5.3 5.0 5.0 5.0 5.0 Natural Gas 0.0 0.0 0.0 1.9 2.0 3.1 4.5 3.3 11.8 19.2 2...
AI summary The text presents numerical data showing the distribution of energy consumption across different fuel types and the total floor space over time. The data includes percentages of electricity, natural gas, light and heavy fuel oil, and other energy sources, along with the total floor space in million square meters.
t all- 22 electric and all-electric and their space heating energy intensity (kWh/m2). Combined 23 with floor area estimates for a typical small and medium/large commercial customer 24 derived from CBECS, E3 estimated the space heating dem...
AI summary The document discusses the estimation of space heating energy intensity for commercial customers in Nova Scotia, using data from CBECS and NS Power, and scaling a sample of buildings from the New England region to represent the province's commercial heating service demand fuel mix. Load forecast data for 2025 and 2030 are also presented.
REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-7 Attachment 1 Page 2 of 7 Residential avgResidential Energy Diff E3 Peak 2013 9,737.40 9,737 2023 15.6 Peak impact that is already included 2014 9,597.49 9,5...
AI summary The document presents a load forecast report with residential energy consumption and peak demand data from 2013 to 2033, including historical and projected figures. It outlines trends in energy usage and peak impacts, particularly highlighting increases in peak demand over time.
247 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-7 Attachment 1 Page 3 of 7 General De General De Energy Diff E3 Peak 2013 2725738 2,725,738 2023 31.8 Peak impact that is already included 2014 2668091 2,...
AI summary The document presents a table with energy consumption data from 2013 to 2033, including total energy use, peak demand, and related metrics. It includes data from the 2023 Load Forecast Report, highlighting energy consumption trends and projected peak impacts.
145,093 2033 2854880 2,685,438 169,442 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-7 Attachment 1 Page 4 of 7
AI summary The text includes a redacted section from the 2023 Load Forecast Report, specifically Attachment 1, Page 4 of 7, which contains confidential information that has been removed.
1,161.78 1,158.47 3.32 2024 11 1,517.85 1,508.56 9.29 2024 12 1,779.66 1,763.14 16.53 2025 1 2,047.13 1,999.68 47.45 2025 2 1,974.91 1,927.32 47.59 2025 3 1,785.60 1,748.54 37.06 2025 4 1,355.44 1,340.20 15.24 2025 5 1,111.80 1,105.95 5.85...
AI summary The text presents a series of numerical data points, likely related to energy consumption or forecasting, with years, months, and corresponding figures. The data appears to be from the 2023 Load Forecast Report, with a note indicating that some information has been redacted due to confidentiality.
1,117.31 -2.76 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-7 Attachment 1 Page 5 of 7
AI summary The document contains a redacted portion of the 2023 Load Forecast Report, specifically Attachment 1, Page 5 of 7, which appears to be part of a regulatory proceeding in Nova Scotia.
1,117.31 -2.76 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-7 Attachment 1 Page 5 of 7
AI summary The text contains a redacted section of the 2023 Load Forecast Report, specifically Attachment 1, Page 5 of 7, which appears to be part of a regulatory proceeding in Nova Scotia.
Peak - Current Fcst Peak - no HP Growth Peak Diff 2026 9 1,066.14 1,068.58 -2.44 2026 10 1,170.20 1,163.75 6.46 2026 11 1,537.32 1,515.17 22.15 2026 12 1,814.02 1,772.31 41.71 2027 1 2,085.35 2,006.50 78.85 2027 2 2,012.34 1,933.16 79.18 2...
AI summary The text presents a table comparing peak electricity demand forecasts for different months and years, highlighting differences between scenarios with and without heat pump growth. The data shows variations in demand, with some months showing increases and others decreases.
1,065.37 1,065.38 -0.01 2028 7 1,214.66 1,217.74 -3.08 2028 8 1,140.12 1,142.90 -2.78 2028 9 1,081.75 1,084.19 -2.44 2028 10 1,185.97 1,174.33 11.64 2028 11 1,565.00 1,528.37 36.63 2028 12 1,855.32 1,787.85 67.47 2029 1 2,133.35 2,014.54 1...
AI summary The text presents a table with numerical values and differences, likely related to load forecasts for various years and months, with a mention of the 2023 Load Forecast Report Synapse IR-7 Attachment 1 Page 6 of 7. The content is partially redacted due to confidentiality.
1,365.73 45.58 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-7 Attachment 1 Page 6 of 7
AI summary This section contains a redacted portion of the 2023 Load Forecast Report, specifically Attachment 1, Page 6 of 7. The content has been marked confidential and is not available for public review.
1,365.73 45.58 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-7 Attachment 1 Page 6 of 7
AI summary The document contains a redacted portion of the 2023 Load Forecast Report, specifically Synapse IR-7 Attachment 1, with confidential information removed. The page number indicates it is page 6 of 7.
Peak - Current Fcst Peak - no HP Growth Peak Diff 2030 5 1,145.21 1,127.41 17.81 2030 6 1,074.30 1,073.30 1.01 2030 7 1,239.32 1,242.41 -3.09 2030 8 1,162.84 1,165.62 -2.78 2030 9 1,094.55 1,096.98 -2.43 2030 10 1,199.11 1,181.83 17.27 203...
AI summary The text presents a table comparing peak demand forecasts for different years and months, highlighting the differences between current forecasts and scenarios without heat pump growth. The data shows significant variations in peak demand across months and years, indicating the impact of heat pump adoption on energy demand.
2,127.44 1,948.37 179.07 2032 3 1,938.87 1,795.60 143.27 2032 4 1,433.26 1,373.87 59.39 2032 5 1,156.84 1,133.22 23.62 2032 6 1,081.49 1,079.45 2.04 2032 7 1,261.83 1,264.92 -3.09 2032 8 1,183.49 1,186.27 -2.78 2032 9 1,105.37 1,107.79 -2....
AI summary The text presents numerical data related to energy consumption or financial figures, followed by a reference to a redacted section of the 2023 Load Forecast Report Synapse IR-7 Attachment. The data appears to be part of a regulatory proceeding.
Cumulative Peak MW, from 2023, Commercial Commercial Cumulative Cumulative unmanage unmanage Res Charging public LDV Commercial Res Charging public LDV Commercial Year BEV tot PHEV tot MDV HDV Total Cumlative from 2023 GWh from 2023 Peak M...
AI summary The table provides cumulative data on electric vehicle (EV) totals, including BEV, PHEV, MDV, and HDV, along with energy consumption metrics such as GWh and peak MW from 2022 to 2024. It includes breakdowns for commercial and residential charging, public LDV, and MDV+HDV categories.
,000 100,000 50,000 - 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 EV Sales 2023 Forecast EV Sales 2022 Forecast REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-9 Attachment 1Page 2 of 9 Forecast...
AI summary The text provides data on population trends in Halifax and Nova Scotia from the 2011 to 2021 censuses, as well as a reference to a source for vehicle sales data. It also mentions a forecast for new vehicle sales and EV sales projections for 2023 and 2022.
2028 20975 9189 11785 27% 73% 2021 44699 20280 24419 2029 29723 12792 16931 26% 74% 2022 51228 23242 27985 2030 31988 14513 17475 25% 75% 2023 51484 23359 28125 2031 35606 16155 19451 25% 75% 2024 51741 23475 28266 2032 39633 17982 21651 2...
AI summary The text presents a table with numerical data spanning years from 2021 to 2035, including values such as 20975, 9189, 11785, and percentages like 27% and 73%. The data appears to be related to load forecasting, as indicated by the mention of the '2023 Load Forecast Report' and 'Synapse IR-9 Attachment 1'.
2023 Load Forecast Report Synapse IR-9 Attachment 1Page 4 of 9 2. Vehicle Sales: Geography Vehicle type Month Index 12 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 Year 2013 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014...
AI summary This section of the 2023 Load Forecast Report provides vehicle sales data across different months and years, showing fluctuations in unit sales from 2013 to 2015. The data includes monthly sales figures for various geographic regions and vehicle types.
2023 Load Forecast Report Synapse IR-9 Attachment 1Page 5 of 9 2. Vehicle Sales: Geography Vehicle type Month Index 12 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 Year 2015 2016 2016 2016 2016 2016 2016 2016 2016 2016 2016 2016 2016...
AI summary The document provides a table showing monthly vehicle sales data from December 2015 to November 2017, including units sold across different months and years. It serves as part of the 2023 Load Forecast Report by Synapse, Attachment 1, Page 5 of 9.
6,050 5,745 5,415 4,779 4,640 5,128 4,127 4,407 3,230 2,914 2,761 5,090 5,854 6,973 6,383 5,987 5,692 5,672 4,432 4,035 Dollars (x 1,000) 118,088 93,798 116,308 160,184 199,060 197,459 181,341 161,169 160,497 177,920 143,644 150,878 116,69...
AI summary The text presents numerical data on vehicle sales and related financial figures over multiple years, including dollars and percentages for cars and trucks. It also references a redacted section of the 2023 Load Forecast Report from Synapse IR-9 Attachment 1, Page 6 of 9, and mentions a section on vehicle sales.
2023 Load Forecast Report Synapse IR-9 Attachment 1Page 6 of 9 2. Vehicle Sales: Geography Vehicle type Month Index 12 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 Year 2017 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018 2018...
AI summary The document presents vehicle sales data across different months and years, providing a breakdown of units sold by geography and vehicle type. The data spans from December 2017 to November 2019 and includes monthly sales figures for each period.
2023 Load Forecast Report Synapse IR-9 Attachment 1Page 7 of 9 2. Vehicle Sales: Geography Vehicle type Month Index 12 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 Year 2019 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020...
AI summary The 2023 Load Forecast Report from Synapse IR-9 provides vehicle sales data across different months and years, showing variations in sales volume over time. The data includes units sold for various months from December 2019 to November 2021, highlighting fluctuations in sales.
. REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 4 of 205 January 31, 2023 C. Henwood List of Attachments • Attachment 1 – SGNS Updated Project Timeline • Attachment 2 – SGNS U...
AI summary The document lists a series of attachments related to a 2023 Load Forecast Report and various claims and performance reports from different initiatives, including SGNS, SIF, and NRCan Smart Grid. The content includes project timelines, use case testing updates, specific metrics, and annual performance reports.
. REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 5 of 205 January 31, 2023 C. Henwood • Energy System Platform (ESP) integration of one battery type (Tesla Powerwall) will exte...
AI summary The document outlines progress in the deployment of the Energy System Platform (ESP) and related assets for a project in Nova Scotia. The ESP, a cloud-based platform, integrates various energy resources, and while some installations have been delayed, overall progress remains on track for completion in 2023.
, as required. Due to the impact of this defect on the fleet of chargers, use case testing has been extended into 2023 to ensure data is captured and analyzed from replaced/updated chargers. BI-DIRECTIONAL CHARGERS • Testing has continued...
AI summary The document discusses the testing of bi-directional chargers, including the Coritech charger at NSCC and the Fermata 15kW charger. Testing has been extended into 2023, and additional chargers are being installed to complete use case testing. Certification and delivery timelines for the Fermata charger are also mentioned.
Attachment 1 – SGNS Updated Project Timeline 3 Apr - 5 Oct Project Design Page 1 of 1 Requirements Workshops Customer Program Design DER Procurement Use Case Test Design 5 May - 3 Sep Execution EV Smart Chargers ESP Integration Recruitment...
AI summary This document provides an updated project timeline for the SGNS initiative, outlining key phases such as project design, requirements workshops, customer program design, DER procurement, and execution phases including EV smart chargers and distributed batteries integration.
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.
ESP indicates a feeder has experienced an outage. This use case will be executed through the winter (Q1 2023), when this use case is most prevalent, and reporting will be included in future reporting. ev.energy will not have the capability...
AI summary The document discusses the implementation and testing of ESP functionality for distribution congestion management and cold load pickup. Issues with the ChargePoint integration and the lack of real-time PI data integration are noted. Testing is expected to continue in Q1 and Q2 2023 with future analysis.
tech and further EVSE5 testing will continue in 2023. Once NS Power receives full user control of the Fermata FE-15 to schedule events, then it will proceed with EVSE5 testing on the Fermata system. E V S E6 – C OLD LOAD PIC KUP RELIEF No...
AI summary The document discusses ongoing testing of EVSE5 and future evaluation of EVSE6 and EVSE7 use cases, focusing on cold load pickup relief and distribution congestion management. Testing for EVSE5 will proceed once NS Power gains full user control of the Fermata FE-15 system. Real charging and historical feeder data will be used to evaluate these use cases further in 2023.
Attachment 2 – SGNS Use Case Testing Update Report series interval data through the ESP integration for additional in-depth data review and use within the business model. Tesla Powerwall baseline data was captured from the Tesla Powerhub p...
AI summary The report discusses the integration of series interval data through the ESP platform for in-depth analysis and the use of Tesla Powerwall baseline data from the Powerhub portal. Due to technical challenges, data is based on 85 of 109 installed units. The report also presents baseline energy consumption by hour and discusses limitations on residential battery export capacity.
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.
tes are receiving an email notification prior to each event, for which they can reply with a request to opt-out of an upcoming event before it begins. To date, there have been no customer opt-outs. Page 43 of 48 . . REDACTED (CONFIDENTIAL...
AI summary Testing for the Smart Grid project involved three customer sites with varying controlled equipment. Testing began in February 2022 and resumed in July 2022 after integration pauses. Aggregated power data is calculated by the BMS and stored in the ESP system.
h the aim of increasing load reduction at each customer site, and specifically for Site 1. Figure 36 – Summary of Critical Peak Reduction Event Dispatched to the BMS at Site 1 on December 19, 2022 Page 47 of 48 . . REDACTED (CONFIDENTIAL I...
AI summary The text discusses the dispatch of Critical Peak Reduction Events to Building Management Systems (BMS) at multiple sites on December 19, 2022. It includes figures summarizing these events and a legend indicating the status of data collection for the Smart Grid Semi-Annual Report.
Requirements Data and Metrics No utility influenced control Device-level control Direct Utility Control
AI summary The text outlines different control mechanisms related to utility requirements data and metrics, including no utility influenced control, device-level control, and direct utility control. These mechanisms are likely related to how utilities manage and monitor energy usage and performance.
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.
• Connection Status & Alarm Status - The availability of EVSE for control during each test (including Electric Vehicle communication to the chargers, and the customer participation level) Distribution Congestion • Curtailment of EVSE charg...
AI summary The text outlines parameters for monitoring and managing EVSE (Electric Vehicle Supply Equipment) during testing, including connection status, alarm status, load curtailment, and monitoring signal latency, with a focus on residential load and customer participation.
Requirements Data and Metrics No utility influenced control Device-level control Direct Utility Control
AI summary The text presents different categories related to control mechanisms in utility operations, including requirements data and metrics, no utility influenced control, device-level control, and direct utility control.
• Connection Status & Alarm Status - The availability of batteries for control during each test (including Economic Dispatch • Day-ahead generation planning Charge and discharge control based Load Leveling (e.g. Peak communication to the b...
AI summary The text discusses aspects of battery control and load leveling in the context of economic dispatch, including charge and discharge control, communication latency, and customer participation levels. It also references day-ahead generation planning and marginal generation costs.
• Intra-day generation planning SV1, 2, 3 • Battery response times to target kW and/or kWh setpoints after receiving signal (Seconds) increasing impact on system • Time varying charging and (kW) (kW) $/kWh) • Time varying charging and PW1,...
AI summary The text discusses intra-day generation planning and battery response times to target kW and kWh setpoints. It also addresses expected versus actual battery charge and discharge power and energy, as well as time-varying charging and discharging schedules and their impact on the system and deferred T&D system.
Distribution Congestion communication to the batteries, and the customer participation level) • Net residential/commercial load (kW) Uninfluenced battery charge • Charge and discharge of Management • Battery monitoring signal latency (seco...
AI summary The text discusses distribution congestion management, focusing on battery charge and discharge control, monitoring signal latencies, and maintaining feeder load within thresholds. It also touches on deferred distribution and pilot programs related to battery discharge capacity and load management.
Pilot 2/R3B thresholds (SV7, PW7) charge and discharge rates and energy ($/kW, $/kWh) charge-discharge schedule System Upgrades SV7 • Battery response times to target kW and/or kWh setpoints after receiving signal (Seconds) Current (A) and...
AI summary The text outlines parameters related to battery energy storage systems and smart inverters, including battery response times, charge and discharge rates, and energy costs. It also mentions system upgrades and their impact on distribution congestion.
• Connection Status & Alarm Status - The availability of Batteries for control during each test (including communication to the batteries, and the customer participation level) • Charge and discharge of • Net commercial load (kW) Manage op...
AI summary The text outlines parameters related to battery functionality, control strategies, and performance metrics for managing net commercial load and optimizing battery usage in C&I increased solar self programs.
• 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.
Requirements Data and Metrics No utility influenced control Device-level control Direct Utility Control
AI summary The text outlines different control mechanisms related to utility operations, including requirements data and metrics, no utility influenced control, device-level control, and direct utility control.
response time to curtailment after receiving signal (seconds) uninfluenced operation)
AI summary The document discusses the response time to curtailment after receiving a signal, measured in seconds, under uninfluenced operation conditions.
or damaged pieces of the mechanical balance of systems. The main electrical infrastructure remained unharmed; however, the damage to components of the system resulted in 108 hours of system downtime. The system returned to partial operatio...
AI summary The document details multiple outage events affecting a solar garden, including a prolonged outage in June, an annual maintenance event in October, and grid-related outages in December 2022. These events caused downtime, reduced solar production, and impacted the system's performance throughout the year.
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.
............................................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.
ee sites to meet the interconnection agreement requirement. When enabling zero export mode, all reactive power functionality that is supported by the inverter is lost – limiting some use case testing. Following discussions with the interco...
AI summary The text discusses technical issues with solar generation systems, including the loss of reactive power functionality when enabling zero export mode and a fire caused by a faulty rapid shutdown device. It also references a Smart Grid Semi-Annual Report and a Load Forecast Report, indicating ongoing monitoring and analysis of grid and energy systems.
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.
hallenging global market conditions in the electronics and physical goods supply chains have exacerbated development delays, creating knock on effects on schedules for product availability. Page 14 of 14 . . REDACTED (CONFIDENTIAL INFORMAT...
AI summary The text discusses challenges in global supply chains affecting product development and availability, referencing a redacted Smart Grid Semi-Annual Report and a Load Forecast Report. It also includes a form related to the Connecting Canadians program and a claim submission process.
REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 111 of 205 CI C0010788 – Smart Grid Semi-Annual Report Attachment 7b Page 1 of 1 Innovation, Science Innovation, Sciences et APPE...
AI summary The text is a partially redacted document containing a table for reporting eligible project costs by category, referencing Appendix C for completion. It includes instructions in both English and French, and mentions a 'Smart Grid Semi-Annual Report' and a 'Load Forecast Report'.
• • • • • 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.
, 2022 Siemens Canada Limited: Date Terrance Cormier Siemens SGA PMO Lead Unrestricted Page 10 of 15 Document # PM-FM-011 Version 5 2022-08-10 . . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9...
AI summary The document contains redacted information from a 2023 Load Forecast Report and a Smart Grid Semi-Annual Report, including attachments and pages related to energy forecasting and grid management. It includes a document version and date, but the content is partially confidential and not fully visible.
ELIGIBLE EXPENDITURES Name of the contractor Description of the work Costs Incurred W MCNEIL CONTRACTING LIMITED Installation of distributed batteries $ BLACK AND MCDONALD LTD Installation of distributed batteries (multiple sites & invoice...
AI summary The document lists eligible expenditures for various contractors involved in the installation of distributed batteries, battery energy storage systems (BESS), and related support services for Smart Grid projects in Nova Scotia. Contractors include MCNEIL CONTRACTING LIMITED, EVERGREEN ELECTRIC, and GP JOULE PV CANADA CORP, with costs incurred for installation, testing, and site supervision.
(BESS) at site 2 $ NATURAL FORCES SOLAR INC. SCADA system study for Amherst Community Solar Garden $ Total Eligible Professional, Scientific and Contracting Services Costs $ 873,149.81 INELIGIBLE EXPENDITURES Name of the contractor Descrip...
AI summary The document outlines eligible and ineligible expenditures, including a BESS at site 2 and a SCADA system study for a solar garden, with a total eligible cost of $873,149.81. It also references a load forecast report and a smart grid semi-annual report, though the content is partially redacted.
Of the total in (7), above, how many were in the following occupations (estimate if necessary):
AI summary The text asks for an estimate of how many individuals from a total number were in specific occupations, indicating a focus on workforce or employment data analysis.
(2) No SIF, but the development of the new product was not part of the SIF iii) Other, please describe below: 5) Between Jan 2021 and Dec 2021, did your business or institution realise any cost savings (2) No from new or significantly impr...
AI summary The text includes redacted sections from a regulatory proceeding, including a Load Forecast Report and a Smart Grid Semi-Annual Report. It references cost savings and processes developed between January 2021 and December 2021, though no specific details are provided due to redaction.
f 205 CI C0010788 – Smart Grid Semi-Annual Report Attachment 11 Page 12 of 17 ← Return to the Project and Client Data Tab Project Location Table Need Help? Refer to the Guidance and Definitions In the table below, please list all of the lo...
AI summary The text provides a section from a regulatory proceeding document related to a Smart Grid Semi-Annual Report, specifically Attachment 11, which includes a table requesting the listing of project locations where activities have or will be undertaken.
50 Tantramar Crescent B4H 0A1 Amherst (8) Nova Scotia customer Industrial Compass Minerals 327 Smith Rd B4H 3Y4 Amherst (8) Nova Scotia customer Bedford Institute of Industrial 1 Challenger Dr B2Y 4A2 Dartmouth (8) Nova Scotia Oceanography...
AI summary The text includes a list of industrial customers and their addresses in Nova Scotia, as well as references to confidential information and attachments related to load forecasts and smart grid reports. These documents appear to be part of a regulatory proceeding.
(YYYY/MM/DD) (YYYY/MM/DD) Code post-graduate) . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 166 of 205 CI C0010788 – Smart Grid Semi-Annual Report Attachment 11 Page 16 of 1...
AI summary The text contains redacted information from a load forecast report and a smart grid semi-annual report, including attachments and licensing data sheets. It appears to be part of a regulatory proceeding with confidential information removed.
Begin Questionnaire v2021 . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 189 of 205 CI C0010788 – Smart Grid Semi-Annual Report Attachment 14 Page 2 of 18 ← Previous Project...
AI summary The text provides a section from a document related to a regulatory proceeding, specifically focusing on client data within a project and client data section. It includes a reference to a redacted load forecast report and a smart grid semi-annual report.
Hours used to calculate FTE: 1,950 Guidance and Definitions Please enter/confirm your address information below: Location name (the name of this establishment, facility, branch, work site, etc.) Nova Scotia Power 1H Street Address 1223 Low...
AI summary The text provides information about a location associated with Nova Scotia Power, including its address, location name, and a confirmation that project activities occurred at a different location between January and December 2020.
Location name Location (the name of this establishment, Street Address Postal Code City Province or Territory description facility, branch, work site, etc.) Nova Scotia Power 1H Head NSP corporate 1223 Lower Water St. B3J 3S8 Halifax Nova...
AI summary The document lists various locations and facilities associated with Nova Scotia Power, including office locations, depots, solar sites, and customer homes across Nova Scotia. These locations include the corporate head office, control centre, fleet depot, community solar garden, and industrial customer sites.
contributions) . REDACTED (CONFIDENTIAL INFORMATION REMOVED) REDACTED 2023 Load Forecast Report Synapse IR-9 Attachment 2 Page 203 of 205 CI C0010788 – Smart Grid Semi-Annual Report Attachment 14 Page 16 of 18 ←Return to the Benefits Data...
AI summary The text includes redacted information from a Load Forecast Report and a Smart Grid Semi-Annual Report, with references to data tabs and guidance materials. Specific details are not visible due to confidentiality.
2023 Load Forecast Report Synapse IR-9 Attachment 3 Page 1 of 1 Baseline Summer Charging Distribution (2021 and 2022) - Only includes Weekday charging on non-event days and non-holidays TOD (HE) 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00...
AI summary The 2023 Load Forecast Report provides a baseline summer charging distribution for the years 2021 and 2022, showing average and total kWh usage across different hours of the day, along with the percentage of total kWh for each hour.
Total Cumulative Total Cumulative Comm Cumulative Res Cumulative Res Comm Cumulative Cumulative Capacity Res Install Install Year Installs (MW) GWh Installs (MW) Comm GWh GWh (MW) Est Est Total Installs 2023 19 20 2 2 23 21 2,174 94 2,268...
AI summary The text presents a table with cumulative installs, capacity, and energy generation data from 2023 to 2033. It includes metrics such as total installs (MW), cumulative generation (GWh), and estimated installations. The data appears to be related to energy infrastructure planning and capacity expansion over time.
2023 Load Forecast Report Synapse IR-13 Attachment 1 Page 1 of 4
AI summary The text is the beginning of a 2023 Load Forecast Report by Synapse, specifically Attachment 1, which appears to be part of a larger document with multiple pages.
2023 Load Forecast Report Synapse IR-13 Attachment 1 Page 4 of 4
AI summary The text references the 2023 Load Forecast Report by Synapse, specifically Attachment 1, Page 4 of 4. It provides no further details or discussion of the content within the report.
1.00 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-17 Attachment 1 Page 5 of 9
AI summary The document is a redacted page from the 2023 Load Forecast Report, specifically Synapse IR-17 Attachment 1, and appears to be part of a regulatory proceeding in Nova Scotia.
630.02 -30,360.32 0 73,637.41 119,045.79 155,307.139 0.000 0.000 0.000 2028 1 343,854.99 -31,253.27 0 98,994.32 120,806.81 155,307.139 0.000 0.000 0.000 2028 2 350,603.91 -30,056.25 0 108,601.34 116,751.69 155,307.139 0.000 0.000 0.000 202...
AI summary The text presents a series of numerical entries, likely representing financial or operational data, with some values redacted due to confidentiality. It also references the 2023 Load Forecast Report from Synapse IR-17, Attachment 1, Page 8 of 9.
Annual New Cumulative Cumulative Single Family Multi Family Customer Load New Single New Multi Annual Usage Annual Usage Structrual (GWh, before Family Family (kWh) (kWh) change index DSM) 2023 2192 3985 16000 4860 1.000 54 2024 4209 7750...
AI summary The document presents a table outlining annual and cumulative data for new single and multi-family units, their annual energy usage, structural change indices, and customer load in gigawatt-hours (GWh) before DSM. The data spans from 2023 to 2033, showing increasing trends in new units and customer load.
DSM DSM Total Res Model GWh New Customers Solar EV RTR DSM Total included additional Sales 2023 4834 54 -39 7 0 -62 -36 -27 4830 2024 4853 106 -62 15 -14 -117 -67 -50 4847 2025 4839 155 -90 31 -14 -176 -101 -75 4846 2026 4873 201 -117 60 -...
AI summary The table provides a detailed breakdown of demand-side management (DSM) metrics including total residential load, new customers, solar, EV, and other factors from 2023 to 2033. The data includes sales and other DSM-related figures, with the 2023 Load Forecast Report referenced as a source.
2023 Load Forecast Report Synapse IR-18 Attachment 1 Page 6 of 6 Scaled heating components Baseboard Heat Water Heat Year HP Heat (GWh) HP Cool (GWh) (GWh) (GWh) 2023 733 115 1058 690 2024 808 124 1034 708 2025 865 133 981 720 2026 931 143...
AI summary The 2023 Load Forecast Report provides a detailed breakdown of heating and cooling energy consumption across various years, including specific values for HP Heat, HP Cool, Baseboard Heat, and Water Heat. This data is essential for understanding future energy demands and planning accordingly.
Intensities Class level components Heating Cooling Other HP Heat HP Cool Efurn WH Other Hea Other Coo Other Other HP Heat HP Cool Efurn WH Other Hea Other Coo Other Other 2023 3962 265 5665 1384 182 1999 1536 579 83 4129 743 115 1073 688 3...
AI summary The text presents a table showing various intensity and class level components across different years from 2023 to 2029, including metrics such as heating, cooling, and other energy-related factors. The data appears to be related to energy usage and distribution planning.
he remainder of the survey, please think about the business location where you personally work. Do you currently own, lease, or rent the premises at your business’ Nova Scotia location where you work? REGION BUSINESS PREMISES FT EMPLOYEES...
AI summary The text presents a survey about business premises in Nova Scotia, including ownership type, number of full-time employees, square footage, and heating types. It includes data categorized by region and provides statistics for different business premises categories.
.5 Responses of greater than 30 were excluded from calculation of the mean. TABLE 4+5 (Responses shown as a proportion of the total number of specific items, and not of the number of respondents): Q4. How many electrical power bars do you...
AI summary The text presents data from a survey on the number of electrical power bars and smart power bars in Nova Scotia businesses, categorized by region, business premises type, employee count, square footage, and heating type. The data is presented as proportions and sample sizes.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 22 22 10 26 22 23 3...
AI summary The text presents a table with data on business premises, including the number of employees, square footage, and heating types across different regions in Nova Scotia. The data is categorized by various metrics such as heating type and square footage ranges.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 55 51 39 71 49 61 6...
AI summary The document presents a table with data on business premises in Nova Scotia, including details such as the number of employees, square footage, and heating types. It categorizes information by region, heating type, and other demographic factors.
1 0 0 0 2 0 0 3 0 2 0 0 1 0 5 3 4 6 0 4 2 0 2 9 0 2 10 2 3 6 6 or more 10 16 6 0 11 8 3 2 28 0 10 26 12 15 12 SAMPLE SIZE (#) 126 74 18 34 73 49 32 41 32 28 48 31 41 79 33 MEAN 2.5 3.7 1.7 .4 3.2 1.5 .7 1.2 6.9 .6 2.9 5.2 2.4 3.1 2.2 Respo...
AI summary The text presents a table summarizing responses to questions about the number of computer servers and their use of virtualization and decommissioning in Nova Scotia businesses. The data includes sample sizes, means, and exclusions for responses over 65.
use server virtualization and decommissioning? Server virtualization is a way of reducing the number of physical computer servers by running multiple, independent operating systems on a single server. REGION BUSINESS PREMISES FT EMPLOYEES...
AI summary The text discusses server virtualization and its potential to reduce the number of physical servers by running multiple operating systems on a single server. It also includes a table with data on the proportion of businesses using virtualization across different regions and heating types in Nova Scotia.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 17 19 24 10 12 26 2...
AI summary The document presents a table with data on business premises, including the number of employees, square footage, heating types, and distribution across regions in Nova Scotia. It includes statistics for different categories such as heating type and employee count.
Business TABLE 10A: Thinking about your building for your business’ Nova Scotia location where you work... Does your building... Have open coolers, that is, coolers that do not have covers or doors? REGION BUSINESS PREMISES FT EMPLOYEES SQ...
AI summary The text presents two tables (10A and 10B) that collect data on business premises in Nova Scotia, including information on building features, employee numbers, square footage, and heating types. The data is categorized by region and includes responses to questions about open coolers in buildings.
lectric resistance heaters that are installed in the frames and doors of refrigerated cases to reduce condensation and prevent fogging. These are particularly common in grocery and convenience stores. REGION BUSINESS PREMISES FT EMPLOYEES...
AI summary The text discusses the use of electric resistance heaters in refrigerated cases, particularly in grocery and convenience stores, and includes a table with data on heating types across different regions and business premises in Nova Scotia.
otia location where you work... Does your building... In your heating, cooling and ventilation systems, is the speed of any fans or pumps automatically controlled by a variable frequency drive (VFD)? REGION BUSINESS PREMISES FT EMPLOYEES S...
AI summary The text presents a table with data on the use of variable frequency drives (VFDs) in heating, cooling, and ventilation systems across different regions and business premises in Nova Scotia. The table includes information on the percentage of buildings with VFDs, as well as details on employment, square footage, and heating types.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 90 89 88 94 90 93 9...
AI summary The text presents a table with data on business premises in Nova Scotia, including metrics such as the number of employees, square footage, heating types, and ownership status. The data is categorized by region, heating type, and employee count, and includes sample sizes and mean values.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 89 84 88 97 88 91 9...
AI summary The text presents a table with data on business premises in Nova Scotia, including distribution by region, heating types, and employee counts. It provides statistics on square footage, ownership, and lease arrangements, along with percentages for different categories.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 76 77 50 87 73 80 8...
AI summary The document presents a table with data on business premises in Nova Scotia, including metrics such as the number of employees, square footage, and heating types. It provides percentages for different regions and categories, offering insights into business distribution and heating preferences.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 32 26 42 39 31 33 3...
AI summary The text presents a table with data on business premises in Nova Scotia, including information on employees, square footage, heating types, and regional distribution. It provides percentages for different categories such as location, ownership, and heating methods.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 53 48 27 74 53 51 5...
AI summary The text presents a table with data on business premises in Nova Scotia, including metrics like the number of employees, square footage, and heating types. The table includes percentages and counts for different regions and heating methods such as oil, electricity, and heat pumps.
vehicle and pedestrian use, with light fixtures mounted to poles [Proportions are shown as a percentage of total bulbs (LED + non- LED)] Q15B_1. Number of Non-LED Bulbs Q15B_2. Number of LED Bulbs... REGION BUSINESS PREMISES FT EMPLOYEES S...
AI summary The text provides data on the proportion of LED and non-LED bulbs, as well as internet-connected devices, across various regions and business premises in Nova Scotia. It includes statistics on heating types, square footage, and employee counts, with sample sizes provided for each category.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 71 69 78 73 68 74 8...
AI summary The document presents a table with data on business premises in Nova Scotia, including details on employees, square footage, and heating types. The data is categorized by region, heating type, and other factors, providing a statistical overview of business premises in the area.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 None (0) 80 73 89 90 78 81 8...
AI summary The text presents a table summarizing data on business premises in Nova Scotia, including employee numbers, square footage, and heating types. It categorizes data by region, employment size, and heating methods such as oil, electricity, and heat pumps.
E 19: Were any of your lighting systems commissioned? Lighting Commissioning involves a professional installing, calibrating and testing the lighting system controls to ensure they operate correctly. REGION BUSINESS PREMISES FT EMPLOYEES S...
AI summary The text discusses lighting system commissioning and includes a table with data on lighting systems commissioned by region, business premises, employee count, square footage, and heating types. It also asks about familiarity with IT load optimization strategies.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 10 - Completely familiar 0 0...
AI summary The text presents a table with data on business premises in Nova Scotia, including information on employment, square footage, and heating types. The table includes categories such as region, heating type, and employee count, but lacks detailed descriptions or analysis.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 10 - Completely familiar 3 5...
AI summary The text presents a table with data on business premises in Nova Scotia, including details on employment, square footage, and heating types. It includes categories such as heating type (oil, electricity, heat pump) and business premises statistics.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 10 - Completely familiar 8 7...
AI summary The text presents a table with data on business premises in Nova Scotia, including details on employees, square footage, and heating types. The data is categorized by region, business premises, and heating type, showing the distribution across various metrics.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 10 - Completely familiar 0 0...
AI summary The document presents a table with data on business premises in Nova Scotia, including details on employment, square footage, and heating types. The table shows the distribution of businesses across different regions and heating methods, but most entries are zero, indicating limited data availability.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 10 - Completely familiar 0 0...
AI summary The document presents a table with data on business premises in Nova Scotia, including information on the number of employees, square footage, and heating types. The table includes categories such as HRM, Cape Breton, and heating types like oil, electricity, and heat pumps.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 1 13 12 18 11 16 10 36 0 0 3...
AI summary The document presents a table with data on business premises, including the number of employees, square footage, and heating types across different regions in Nova Scotia. It includes statistics for various employee ranges and heating sources such as oil, electricity, and heat pumps.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 Yes, pay for own 67 64 60 76...
AI summary This table presents data on business premises in Nova Scotia, categorized by region, heating type, and employment size, providing insights into heating responsibilities and distribution across different areas.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 Nova Scotia Power Incorporat...
AI summary The table presents data on business premises and heating types across various regions in Nova Scotia, including statistics on employment, square footage, and heating sources such as oil, electricity, and heat pumps. The data includes information for Nova Scotia Power Incorporated and other local utilities.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 2 9 10 13 5 9 9 22 2 3 30 4...
AI summary The text presents a table with data on regional distribution, business premises, employment, square footage, and heating types across various regions in Nova Scotia. The data includes metrics such as full-time employees, square footage ranges, and heating sources like oil, electricity, and heat pumps.
ss TABLE 27_2: [IF Q26A NOT 'Nova Scotia Power Incorporated'] Please select your business’ rate code from the drop-down selection below. Your rate code can be commonly found on your electricity bill. REGION BUSINESS PREMISES FT EMPLOYEES S...
AI summary The text presents two tables, Table 27_2 and Table 28, which contain data related to business rate codes, regional distribution, and various categories such as employment size, square footage, and heating types. These tables likely provide statistical information for regulatory analysis purposes.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 Large business 28 38 50 7 25...
AI summary The document presents a table with data on business premises across different regions in Nova Scotia, including the number of employees, square footage, and heating types. It categorizes data for large and small businesses, commercial, industrial, and institutional premises.
6 16 10 2 17 12 15 20 13 TABLE 30: What is the main source of energy used to heat your business’ Nova Scotia location where you work?
AI summary The document includes a table asking respondents about the main source of energy used to heat their Nova Scotia workplace.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 Electricity 19 17 18 25 22 1...
AI summary The text presents a table with data on heating types and business premises across different regions in Nova Scotia, including statistics on employees, square footage, and distribution by heating type.
0 10 0 2 4 12 3 9 9 7 7 9 Wood/pellets/chips 5 5 0 7 8 0 11 0 3 8 4 6 4 7 9 Solar 3 5 0 0 3 2 0 0 9 0 2 9 2 3 5 Other 1 1 0 0 0 2 0 0 3 0 2 0 0 1 0 None - no other type of heating is used 42 43 41 39 34 51 48 39 44 39 33 47 37 31 7 SAMPLE...
AI summary The text presents a table with data on heating sources, including wood/pellets/chips, solar, other, and none, along with sample sizes for different categories. The data appears to be related to energy usage or heating preferences across various regions or groups.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 Electricity 67 72 63 58 68 7...
AI summary The text presents a table with data on heating types and business premises across various regions in Nova Scotia, including percentages of usage for electricity, oil, heat pumps, natural gas, propane, and wood/pellets/chips. It includes metrics such as square footage, number of employees, and lease/rent status.
19 13 13 10 15 15 5 15 24 6 13 22 Wood/pellets/chips 7 6 0 10 11 0 16 2 3 10 7 6 6 7 11 Solar 2 4 0 0 3 2 0 0 8 0 2 9 2 3 4 Other 1 1 0 0 0 2 0 0 3 0 2 0 0 1 0 SAMPLE SIZE (#) 165 98 19 48 96 62 50 48 39 41 59 34 63 111 45 TABLE 32: [IF Q3...
AI summary The text provides a table with data on the types of electric heating used by businesses in different regions. The table includes categories such as wood/pellets/chips, solar, and other, along with sample sizes for each category.
REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland More than HRM Cape Breton Own Lease/Rent 1-7 8-40 41+ Up to 2,000 2,001 - 10,000 Oil Electricity Heat pump NS 10,000 Electric Baseboards (e.g., s...
AI summary The text presents a table summarizing heating type distribution across different regions and business premises in Nova Scotia, including statistics on electric baseboards, central air-source heat pumps, electric resistance furnaces, and ductless/mini-split heat pumps.
2019 Electricity Usage Surveys - Business TABLE 32: [IF Q30 OR Q31 'Electricity'] What type of electric heating does your business’ location use? REGION BUSINESS PREMISES FT EMPLOYEES SQUARE FOOTAGE HEATING TYPE(S) OVERALL % Other mainland...
AI summary The document presents data from 2019 Electricity Usage Surveys focusing on business electricity use in Nova Scotia. It includes a table detailing the type of electric heating used by businesses across different regions and premises, along with employee counts and square footage. Another table outlines the primary business sectors of the surveyed organizations.
REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-30 Attachment 2 Page 1 of 2 Year Heat WaterHt Cooking Misc Lighting TV Dryer Refrig Freezer Dish Washer EV Total 2023 874.9 123.0 106.3 64.2 48.4 33.2 69.8 24...
AI summary The document presents load forecast data for 2023 and 2032, showing the distribution of energy consumption across various categories such as heat, water heating, cooking, and others. It highlights the projected increase in energy demand, particularly in the EV category by 2032.
Losses Date Time (MW) % Losses 2022-01-12 0:00:00 250.71 13.08% 2022-01-12 1:00:00 236.16 12.46% 2022-01-12 2:00:00 260.63 13.95% 2022-01-12 3:00:00 286.10 15.41% 2022-01-12 4:00:00 265.71 14.29% 2022-01-12 5:00:00 224.72 11.98% 2022-01-12...
AI summary The document presents data on electrical losses over a specific period, including hourly losses in MW and percentage losses. It also discusses the monthly difference between system generation and scaled load research classes for 2022, noting that validation of these numbers as representative of losses is ongoing. Additionally, it mentions that DSM was not used for LRS modeling due to the lack of hourly data.
experiment is to compare top-down (current) and bottom-up class peak estimation 10 (experiment), therefore, to compare apples to apples DSM can be removed from both 11 models. 12 Date Filed: June 20, 2023 NSPI (Synapse) IR-31 Page 4 of 5 R...
AI summary The text discusses a comparison between top-down and bottom-up methods for estimating class peak demand, suggesting that removing DSM from both models allows for a more accurate comparison. It also references the 2023 Load Forecast Report and mentions the expectation of having sufficient AMI data for rate classes by the 2024 load forecast report.
2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Synapse Energy Economics Information Requests NON-CONFIDENTIAL 1 Request IR-32: 2 3 Sensitivity Analysis (Section 11 and Appendix D) 4 5 (a) Please provide in electronic format th...
AI summary NSPI provided responses to Synapse Energy Economics' information requests regarding the 2023 Load Forecast Report. The response includes details on the sensitivity analysis, the selection of weather and economic variables, and the statistical distributions used in the Monte Carlo simulation.
2023 Load Forecast Report Synapse IR-35 Attachment 1 Page 1 of 8
AI summary The text references the 2023 Load Forecast Report, specifically Synapse IR-35 Attachment 1, which is the first page of an eight-page document.
2023 Load Forecast Report Synapse IR-35 Attachment 1 Page 3 of 8
AI summary The text references the 2023 Load Forecast Report, specifically Synapse IR-35 Attachment 1, which is on page 3 of 8. It does not provide detailed content or analysis at this point.
2023 Load Forecast Report Synapse IR-35 Attachment 1 Page 6 of 8
AI summary The text references the 2023 Load Forecast Report, specifically Synapse IR-35 Attachment 1, Page 6 of 8. It does not provide further details or discussion on the content of the report or any associated topics.
Heating Indices (kWh / HH) Cooling Indices (kWh / HH) Year SmlGenIndices.Heating AContrib2Sales.SmlGenHeatUse SmlGenIndices.Cooling AContrib2Sales.SmlGenCoolUse 2013 46,709.80 1.140 38,192.07 1.120 2014 48,232.83 1.120 38,019.24 0.980 2015...
AI summary The text presents data on Heating and Cooling Indices (kWh per HH) from 2013 to 2027, showing trends in energy usage for heating and cooling over time. The data includes values for SmlGenIndices and AContrib2Sales for both heating and cooling indices.
12,858.53 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-36 Attachment 1 Page 6 of 11 Year SmlGenIndices Heating SmlGenIndices Cooling SmlGenIndices Others XHeat XCool XOther
AI summary The document presents a table with data from the 2023 Load Forecast Report, including indices for heating, cooling, and other factors, along with variables such as XHeat, XCool, and XOther. The content is redacted and marked as confidential.
2023 Load Forecast Report Synapse IR-36 Attachment 1 Page 6 of 11 Year SmlGenIndices Heating SmlGenIndices Cooling SmlGenIndices Others XHeat XCool XOther
AI summary The text presents a table from the 2023 Load Forecast Report (Synapse IR-36 Attachment 1) with columns related to small generation indices for heating, cooling, and other categories, along with corresponding variables XHeat, XCool, and XOther.
2023 Load Forecast Report Synapse IR-36 Attachment 1 Page 7 of 11 Year Mar Sept Dec 22-Oct May 20 Jun 20 ARMA XHeatNew XCoolNew
AI summary The text provides a portion of the 2023 Load Forecast Report by Synapse, including data for various months and parameters such as ARMA, XHeatNew, and XCoolNew. It appears to be a table with load forecast data for different time periods.
0 0 0 5,264.35 567.96 2030 1 1 1 0 0 0 0 5,355.98 577.46 2031 1 1 1 0 0 0 0 5,434.90 586.93 2032 1 1 1 0 0 0 0 5,592.89 597.89 2033 1 1 1 0 0 0 0 5,662.08 607.33 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse...
AI summary The text contains a table with numerical data and a reference to a 2023 Load Forecast Report by Synapse, specifically Attachment 1, Page 8 of 11. The table includes columns such as 'Year', 'XOtherNew', 'Mar New', 'Sept New', 'Dec New', 'Oct 22 New', 'May 20 New', 'Jun 20 New', 'ARMA new', and 'Total (kWh)', suggesting it is related to load forecasting and energy usage data.
2023 Load Forecast Report Synapse IR-36 Attachment 1 Page 8 of 11 Year XOtherNew Mar New Sept New Dec New Oct 22 New May 20 New Jun 20 New ARMA new Total (kWh)
AI summary The text presents a table from the 2023 Load Forecast Report by Synapse IR-36, showing various months and their corresponding new load data in kilowatt-hours (kWh), including ARMA new and total load values.
6.91 93.23 57.33 (112.25) - - - - 12,678.66 2031 6,635.27 93.23 57.33 (112.25) - - - - 12,695.42 2032 6,599.42 93.23 57.33 (112.25) - - - - 12,828.51 2033 6,547.15 93.23 57.33 (112.25) - - - - 12,854.87 REDACTED (CONFIDENTIAL INFORMATION R...
AI summary The text presents a series of numerical values and statistical data from a load forecast report, including regression coefficients, standard errors, t-statistics, and p-values. These data points are used to analyze load forecasting models and their significance levels.
REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-36 Attachment 1 Page 10 of 11
AI summary The text is a redacted section of a 2023 Load Forecast Report, specifically Attachment 1, Page 10 of 11, from Synapse IR-36. It contains confidential information and is not fully visible.
42.5 412.1 (22.9) 389.2 2033 12,854.9 29,096.4 374.0 (16.5) 68.1 51.6 425.6 (24.7) 400.9 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-36 Attachment 1 Page 11 of 11 Small Gen load post regression Average...
AI summary The text presents load forecast data and regression analysis for Small Gen load in 2023 and 2033, including average use, solar generation, DSM captured by end uses, and changes in various metrics such as heating and cooling inputs.
16.30 2033 83,582.78 13,928.35 16,975.76 194,271.90 331,779.68 129,606.92 301,697.91 0.00 16.46 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-37 Attachment 1 Page 3 of 9
AI summary The text presents a table with numerical data and a reference to a redacted confidential document. It also mentions the '2023 Load Forecast Report Synapse IR-37 Attachment 1 Page 3 of 9', indicating a forecast report related to load management.
eport Synapse IR-37 Attachment 1 Page 5 of 9 Year GenIndices Heating GenIndices Cooling GenIndices Others XHeat XCool XOther Feb 18 May 20 Jun 20 22-Oct
AI summary The text presents a table with years and various indices related to heating, cooling, and other factors, along with corresponding values for different dates. The content appears to be data-driven and may relate to energy or resource management analysis.
724,680.1 163,411.5 1,644,917.2 0 0 0 0 2024 554,149.2 309,404.8 1,220,962.9 732,047.8 167,331.6 1,638,715.6 0 0 0 0 2025 558,502.3 308,085.6 1,202,676.2 745,572.6 171,168.8 1,637,422.2 0 0 0 0 2026 559,040.0 306,904.4 1,186,351.5 752,842....
AI summary The text provides a table with numerical data spanning multiple years, likely related to energy load forecasts. It includes columns such as 'ARMA', 'XHeatNew', 'XCoolNew', and 'Total (kWh)', suggesting it is a load forecast report. The document is redacted, indicating that some information has been removed for confidentiality.
1 2032 2,464,948.2 2,464.9 (64.1) 226.4 (42.3) 120.0 2,585.0 (161.0) 2,424.0 2033 2,481,686.8 2,481.7 (64.1) 272.4 (49.6) 158.7 2,640.4 (173.6) 2,466.8 REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-37 Att...
AI summary The text presents load forecast data and regression analysis for 2023 and 2033, including demand load post-regression, generation demand, and intensities. It includes figures related to EV, solar, and DSM, along with changes in percentages between the two years.
2023 Load Forecast Report (NSUARB M11108) NSPI Responses to Synapse Energy Economics Information Requests NON-CONFIDENTIAL 1 Request IR-41: 2 3 Appendix B: Peak Forecast (pp 29-33) 4 5 (a) Please provide in electronic spreadsheet format th...
AI summary NSPI responded to Synapse Energy Economics' information requests regarding the 2023 Load Forecast Report, providing references to attachments containing peak model inputs, load components, and coincident peak load factors used in the forecast.
Year Month ResEndUse.ResHeat NResEndUse.SmlGenHeat NResEndUse.GenHeat mVars.HeatLoad mVars.Days mVars.Heat_AvgMW mPkDayWthr.PkHDDIdx mVars.Heat_Var 2016 10 102,388.2 4,581.0 27,293.7 134,262.9 31.0 180.5 0.5 87.2 2016 11 184,125.3 8,260.1...
AI summary The text presents a table with data related to residential and non-residential end-use heating, heat load, and weather-related variables across various months from 2016 to 2017. The data includes metrics such as heat load in megawatts, number of days, average heat load, and peak heating degree day index.
Year Month ResEndUse.ResHeat NResEndUse.SmlGenHeat NResEndUse.GenHeat mVars.HeatLoad mVars.Days mVars.Heat_AvgMW mPkDayWthr.PkHDDIdx mVars.Heat_Var 2024 4 231,666.0 13,158.0 57,023.8 301,847.7 30.0 419.2 0.6 268.0 2024 5 153,565.9 8,730.0...
AI summary The text presents a table with data related to residential and non-residential end-use heating, heat load, days, average heat load in MW, peak heating degree day index, and heat variability across months from 2024 to 2025. The data appears to be used for analyzing energy consumption patterns and heating demand.
7 8 4,025.0 240.0 978.3 5,243.3 31.0 7.1 - - 2027 9 40,088.6 2,391.8 9,745.7 52,226.2 30.0 72.5 - - 2027 10 128,395.2 7,666.4 31,219.3 167,280.8 31.0 224.8 0.5 116.4 2027 11 230,696.7 13,785.3 56,104.5 300,586.5 30.0 417.5 0.8 325.8 2027 1...
AI summary The text presents a table of numerical data related to load forecasting, likely from a 2023 Load Forecast Report by Synapse. The table includes values across multiple years and categories, but the content is partially redacted and lacks detailed explanation or context.
Year Month ResEndUse.ResHeat NResEndUse.SmlGenHeat NResEndUse.GenHeat mVars.HeatLoad mVars.Days mVars.Heat_AvgMW mPkDayWthr.PkHDDIdx mVars.Heat_Var 2028 1 399,551.2 24,050.0 96,953.9 520,555.1 31.0 699.7 1.2 854.9 2028 2 371,038.8 22,351.0...
AI summary The text presents a series of data points from 2028, including residential and non-residential end-use heating, heat load, days, average heat in megawatts, peak heating degree day index, and heat variability. These data points are likely related to energy usage and heating demand analysis.
031 5 172,546.4 10,898.5 43,790.7 227,235.6 31.0 305.4 0.4 127.8 2031 6 74,417.7 4,705.1 18,894.2 98,016.9 30.0 136.1 0.2 22.2 2031 7 11,868.6 751.1 3,014.6 15,634.3 31.0 21.0 - - 2031 8 4,269.0 270.5 1,084.8 5,624.3 31.0 7.6 - - 2031 9 42...
AI summary The text contains a table with numerical data and a reference to a redacted confidential document titled '2023 Load Forecast Report Synapse IR-41 Attachment 1 Page 6 of 19'. The table appears to include metrics such as costs, quantities, and percentages, but the context or purpose of the data is not explicitly discussed in the provided text.
L INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-41 Attachment 1 Page 6 of 19
AI summary The document is a page from the 2023 Load Forecast Report, specifically Attachment 1 of Synapse IR-41, and appears to be part of a regulatory proceeding in Nova Scotia.
Year Month ResEndUse.ResHeat NResEndUse.SmlGenHeat NResEndUse.GenHeat mVars.HeatLoad mVars.Days mVars.Heat_AvgMW mPkDayWthr.PkHDDIdx mVars.Heat_Var 2031 10 136,125.2 8,642.7 34,626.6 179,394.5 31.0 241.1 0.5 124.9 2031 11 244,539.8 15,542....
AI summary The text presents a table containing data on residential and non-residential end-use heating, heat load, and related variables for various months from 2031 to 2032. The data includes metrics such as heat load in average megawatts, days, and heating degree day index, indicating trends in energy usage and heating demand over time.
Year Month ResEndUse.ResCool NResEndUse.SmlGenCool NResEndUse.GenCool mVars.CoolLoad mVars.Days mVars.Cool_AvgMW mPkDayWthr.PkCDDIdx mVars.Cool_Var 2013 1 - - - - 31.0 - - - 2013 2 - - - - 28.0 - - - 2013 3 - - - - 31.0 - - - 2013 4 1.8 0....
AI summary The text presents a table containing data on residential end-use cooling, non-residential end-use cooling, and various cooling-related variables for the years 2013 and 2014. It includes metrics such as cooling load, days, average megawatts, and peak cooling degree day index values.
Year Month ResEndUse.ResCool NResEndUse.SmlGenCool NResEndUse.GenCool mVars.CoolLoad mVars.Days mVars.Cool_AvgMW mPkDayWthr.PkCDDIdx mVars.Cool_Var 2016 6 7,797.9 951.5 8,527.3 17,276.7 30.0 24.0 - - 2016 7 31,499.0 3,848.7 34,484.7 69,832...
AI summary The text presents a table containing data on cooling load, days, and average megawatts for various months from 2016 to 2017. The data includes residential and non-residential cooling usage, as well as variables related to cooling load and weather indices.
REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-41 Attachment 1 Page 9 of 19
AI summary The document is a redacted page from the 2023 Load Forecast Report, specifically Attachment 1, page 9 of 19. It is part of a Synapse report and is associated with the IR-41 reference. No substantive content is visible due to redaction.
Year Month ResEndUse.ResCool NResEndUse.SmlGenCool NResEndUse.GenCool mVars.CoolLoad mVars.Days mVars.Cool_AvgMW mPkDayWthr.PkCDDIdx mVars.Cool_Var 2019 11 176.1 16.6 145.9 338.5 30.0 0.5 - - 2019 12 - - - - 31.0 - - - 2020 1 - - - - 31.0...
AI summary The text presents a table with data related to cooling load, days, and average megawatts for various months and years, primarily focusing on 2020. The data includes residential and non-residential cooling usage, as well as variables related to cooling load and weather indices.
Year Month ResEndUse.ResCool NResEndUse.SmlGenCool NResEndUse.GenCool mVars.CoolLoad mVars.Days mVars.Cool_AvgMW mPkDayWthr.PkCDDIdx mVars.Cool_Var 2026 9 34,051.4 2,510.6 20,843.8 57,405.8 30.0 79.7 0.7 51.6 2026 10 3,484.8 257.3 2,135.4...
AI summary The text presents a table containing data related to cooling load, days, and average megawatts for various months from 2026 to 2027. It includes metrics such as ResEndUse.ResCool, NResEndUse.SmlGenCool, and mVars.Cool_AvgMW, indicating energy usage and load management statistics over time.
Year Month ResEndUse.ResCool NResEndUse.SmlGenCool NResEndUse.GenCool mVars.CoolLoad mVars.Days mVars.Cool_AvgMW mPkDayWthr.PkCDDIdx mVars.Cool_Var 2030 2 - - - - 28.0 - - - 2030 3 - - - - 31.0 - - - 2030 4 6.9 0.5 3.8 11.1 30.0 0.0 - - 20...
AI summary The text presents a table with data spanning from 2030 to 2031, containing various metrics related to cooling load, days, average megawatts, and peak cooling degree day indices. The data appears to be related to energy usage and load forecasting, with specific values for different months and years.
REDACTED (CONFIDENTIAL INFORMATION REMOVED) 2023 Load Forecast Report Synapse IR-41 Attachment 1 Page 13 of 19 Year Month ResEndUse.ResCool NResEndUse.SmlGenCool NResEndUse.GenCool mVars.CoolLoad mVars.Days mVars.Cool_AvgMW mPkDayWthr.PkCD...
AI summary The text provides a table of load forecast data for the years 2033, detailing cooling load, days, and average megawatts for various months. The data includes figures for residential and non-residential cooling loads, as well as peak cooling degree day indices.
Year Month ResEndUse.ResOther NResEndUse.SmlGenOther NResEndUse.GenOther Sales.SmlInd Sales.MedInd Sales.Unm mVars.OthrUse mVars.Days mVars.Other_AvgMW 2013 1 246,919.1 14,475.3 156,645.9 25,704.8 42,300.1 8,822.5 494,867.7 31.0 665.1 2013...
AI summary The text presents a table with data from 2013, including monthly figures related to energy usage, sales, and other variables. It includes columns such as ResEndUse, Sales, and mVars, with numerical values representing different metrics over the course of the year.
Year Month ResEndUse.ResOther NResEndUse.SmlGenOther NResEndUse.GenOther Sales.SmlInd Sales.MedInd Sales.Unm mVars.OthrUse mVars.Days mVars.Other_AvgMW 2020 3 208,761.4 17,678.4 143,673.1 23,137.2 37,864.7 6,621.2 437,735.9 31.0 588.4 2020...
AI summary The text presents a table containing data on energy usage and sales across various categories for the years 2020 and 2021. The data includes metrics such as residential end-use, non-residential end-use, sales by industry size, and other variables like average megawatts and days.
Year Month ResEndUse.ResOther NResEndUse.SmlGenOther NResEndUse.GenOther Sales.SmlInd Sales.MedInd Sales.Unm mVars.OthrUse mVars.Days mVars.Other_AvgMW 2023 10 223,718.0 15,859.6 147,564.4 17,412.1 39,151.6 6,636.4 450,342.1 31.0 605.3 202...
AI summary The text presents a table with data on energy usage and sales across different months and years, including residential and non-residential end-use energy consumption, sales by industry size, and other variables. This information may be used for analysis related to energy demand and distribution.
Year Month ResEndUse.ResOther NResEndUse.SmlGenOther NResEndUse.GenOther Sales.SmlInd Sales.MedInd Sales.Unm mVars.OthrUse mVars.Days mVars.Other_AvgMW 2027 5 210,673.6 15,949.0 145,782.3 22,382.9 38,498.7 6,516.9 439,803.3 31.0 591.1 2027...
AI summary The document presents a table of energy usage and sales data across multiple months and years, including residential and non-residential end-use energy consumption, sales by industry size, and various operational metrics. This data could be relevant for regulatory analysis and decision-making.
Year Month ResEndUse.ResOther NResEndUse.SmlGenOther NResEndUse.GenOther Sales.SmlInd Sales.MedInd Sales.Unm mVars.OthrUse mVars.Days mVars.Other_AvgMW 2030 12 227,083.5 13,036.7 144,582.9 21,619.7 40,085.1 6,590.2 452,998.1 31.0 608.9 203...
AI summary The text presents a table of energy usage and sales data from 2030 to 2031, including metrics such as residential end-use, non-residential end-use, and sales across various sectors. The data covers multiple variables including average megawatts and days, providing insights into energy consumption patterns over time.
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.
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.
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