Topic:"Climate Adaptation" in M11108

the residential sector in order to achieve carbon 14 reduction targets of net-zero by 2050 as shown in Figure 20. 15 16 Figure 20: E3 Residential Space Heating Saturation 17 18 DATE: April 28, 2023 Page 33 of 98 REDACTED (CONFIDENTIAL INFO...

AI summary The document discusses residential and commercial space heating saturation models, particularly focusing on the E3 model and its trajectory towards achieving net-zero carbon reduction targets by 2050. It also notes adjustments made to NS Power models to align with E3 estimates by 2040.

116.4 121.7 123.6 114.1 107.6 102.0 103.1 117.2 116.6 117.8 118.9 126.6 112.0 109.3 102.9 105.2 94.7 95.7 100.0 99.2 Total GHG Emissions Excluding Electricity (Mt of CO2e) 1.8 1.9 1.9 1.8 1.6 1.4 1.5 1.8 1.8 1.9 1.9 2.1 1.7 1.6 1.4 1.5 1.2...

AI summary The text provides numerical data on total GHG emissions excluding electricity and breaks down emissions by end-use categories such as space heating and water heating over a series of years.

21.8 23.1 23.2 21.1 19.0 18.4 20.1 23.1 20.1 19.5 21.5 21.9 20.3 18.2 15.5 14.9 13.8 13.2 14.8 14.4 Total Water Heating GHG Emissions Excluding Electricity (Mt of CO2e) 0.4 0.4 0.4 0.4 0.3 0.3 0.3 0.4 0.4 0.4 0.4 0.4 0.4 0.3 0.3 0.3 0.2 0....

AI summary The text presents data on total water heating GHG emissions excluding electricity, categorized by building type, and GHG intensity over time. The data show fluctuations in emissions and intensity across different years.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Other Appliances3 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3 0.3 0.2 0.2 0.2 0.3 0.3 0.3 0.3...

AI summary The text presents a table with zeroes and a single non-zero value of 0.3 under 'GHG Intensity (tonne/TJ)' for certain years, indicating data related to greenhouse gas emissions intensity in the energy sector.

112.7 117.0 117.9 108.7 102.1 96.5 96.8 109.1 108.8 110.4 112.1 119.5 106.7 104.5 98.3 101.0 91.6 92.7 97.1 96.3 Total Single Attached GHG Emissions Excluding Electricity (Mt of CO2e) 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1...

AI summary The text presents a series of numerical data points, primarily showing greenhouse gas (GHG) emissions by end-use categories, with all values remaining consistently low across the periods indicated. The data appears to be related to emissions from single attached buildings, excluding electricity.

125.0 130.8 133.2 123.1 116.6 110.7 112.4 129.1 129.2 130.7 131.3 139.3 122.0 119.0 112.5 114.7 102.5 104.1 108.4 107.8 Total Mobile Homes GHG Emissions Excluding Electricity (Mt of CO2e) 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1...

AI summary The text presents numerical data on total mobile homes GHG emissions excluding electricity and by energy source, showing consistent values across multiple years, with most energy sources contributing minimally to emissions.

125.0 130.8 133.2 123.1 116.6 110.7 112.4 129.1 129.2 130.7 131.3 139.3 122.0 119.0 112.5 114.7 102.5 104.1 108.4 107.8 Total Mobile Homes GHG Emissions Excluding Electricity (Mt of CO2e) 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1...

AI summary The text presents numerical data on total mobile homes GHG emissions excluding electricity and breaks down emissions by end-use categories such as space heating, water heating, appliances, lighting, and space cooling over a series of years.

Table 54: Other Services Space Conditioning Secondary Energy Use by End Use and by Energy Source 1) Data on GHG emissions are presented excluding GHG emissions related to electricity production. Office of Energy Efficiency, Demand Policy a...

AI summary The text includes a table presenting data on secondary energy use and GHG emissions by energy source for the Commercial/Institutional Sector in Atlantic Canada, with a note that GHG emissions related to electricity production are excluded. It also references the 2023 Load Forecast Report and mentions the Office of Energy Efficiency, Demand Policy and Analysis Division, Market Analysis Group.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 31.7 32.6 30.3 31.9 36.1 34.7 35.4 30.7 27.0 20.9 21.4 24.9 25.3 24.2 21.7 22.8 21.1 17.8 14.9 15.4 1) Data on GHG emissions are prese...

AI summary The text presents data on GHG emissions intensity and energy use in the Commercial/Institutional Sector for Atlantic Canada, excluding electricity production emissions. It references a 2023 Load Forecast Report and includes a table with energy use and emissions data from 2000 to 2019.

Cooling 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 31.7 32.6 30.3 31.9 36.1 34.7 35.4 30.7 27.0 20.9 21.4 24.9 25.3 24.2 21.7 22.8 21.1 17.8 14.9 15.4 1) Data on GHG emissions a...

AI summary The text provides data on GHG intensity and energy use in the commercial/institutional sector, including a table with historical energy use and GHG emissions data from 2000 to 2019. It also notes that data excludes electricity production-related emissions.

ooling 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 34.6 35.9 32.8 33.8 37.9 36.7 37.5 31.4 27.9 21.5 22.5 25.9 26.2 25.5 22.6 23.8 22.7 17.8 14.8 15.2 1) Data on GHG emissions ar...

AI summary The text provides data on GHG emissions intensity and excludes emissions related to electricity production. It also references a 2023 Load Forecast Report by Synapse and mentions the Commercial/Institutional Sector and Atlantic region energy use and emissions data.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 37.4 36.7 36.6 39.1 40.6 38.7 36.0 38.6 36.9 34.1 36.7 41.2 35.1 32.2 31.9 32.3 30.1 27.3 23.3 24.1 1) Data on GHG emissions are prese...

AI summary The text presents data on GHG emissions intensity and energy use in the Commercial/Institutional Sector, specifically in the Educational Services subsector, across multiple years. The data excludes emissions from electricity production and includes information on energy sources and their contribution to GHG emissions.

ling 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 33.9 33.8 30.8 33.1 37.4 35.9 36.7 34.1 31.9 26.0 24.3 29.7 31.2 32.3 32.1 32.9 30.4 28.6 26.0 26.7 1) Data on GHG emissions are...

AI summary The text presents data on GHG intensity and energy use in the Commercial/Institutional Sector, specifically in the Arts, Entertainment and Recreation sub-sector, across various years. It excludes GHG emissions related to electricity production and is part of a 2023 Load Forecast Report.

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 31.9 31.8 28.3 30.8 36.2 34.7 35.8 32.3 29.8 24.9 22.0 29.4 29.2 32.1 31.5 32.5 30.6 27.8 25.2 25.9 1) Data on GHG emissions are prese...

AI summary The text presents GHG intensity data and energy use statistics for the Commercial/Institutional Sector, specifically focusing on the Accommodation and Food Services industry. The data spans from 2000 to 2019 and includes secondary energy use and GHG emissions by end use. The data excludes emissions related to electricity production and includes a note on 'Other' fuels like coal and propane.

ooling 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 GHG Intensity (tonne/TJ) 31.9 31.8 28.3 30.8 36.2 34.7 35.8 32.3 29.8 24.9 22.0 29.4 29.2 32.1 31.5 32.5 30.6 27.8 25.2 25.9 1) Data on GHG emissions ar...

AI summary The text presents data on GHG emissions intensity and energy use in the Commercial/Institutional Sector, specifically focusing on the Atlantic region. The data spans from 2000 to 2019 and excludes emissions related to electricity production. It is part of a 2023 Load Forecast Report by Synapse.

– – – – – – – – – – – – – – – – – – – – 1) Data on GHG emissions are presented excluding GHG emissions related to electricity production. 2) Auxilliary motors consumes only electricity 3) “Offices” includes activities related to finance an...

AI summary The text provides data on GHG emissions and energy use in the commercial/institutional sector, focusing on lighting and excluding electricity production emissions. It includes a table with secondary energy use and GHG emissions by activity type from 2000 to 2019.

– – – – – – – – – – – – – – – – – – – – 1) Data on GHG emissions are presented excluding GHG emissions related to electricity production. 2) Lighting consumes only electricity and does not include street lighting. 3) “Offices” includes act...

AI summary The text provides a note that data on GHG emissions excludes electricity production emissions and clarifies that lighting data does not include street lighting. It also defines 'Offices' as including various professional and administrative activities. The document is part of a 2023 Load Forecast Report and includes a table on space cooling energy use and GHG emissions by energy source in the Commercial/Institutional Sector in Atlantic Canada.

0.11 0.14 0.12 0.15 0.11 0.14 0.10 0.09 0.10 0.07 0.08 0.07 0.13 0.11 0.11 0.13 0.14 0.14 0.17 0.13 Total Space Cooling GHG Emissions Excluding Electricity (Mt of CO2e) 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0....

AI summary The text provides data on total space cooling GHG emissions excluding electricity, GHG emissions by energy source, and GHG intensity. It also includes a cooling degree-day index. All values are reported as zero for GHG emissions related to electricity and natural gas, with the exception of the cooling degree-day index, which shows varying values over time.

.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Health Care and Social Assistance 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Arts, Entertainment and Recreation 0.0 0.0 0.0 0.0 0.0...

AI summary The text contains a table with numerical data, including categories such as 'Health Care and Social Assistance' and 'Arts, Entertainment and Recreation,' alongside a 'Cooling Degree-Day Index' with varying values across different periods. The data appears to be related to energy consumption or environmental metrics but lacks contextual explanation.

effect going forward is nil, but the actual effect may decline in the future. The COVID-19 variable should be reevaluated going forward. Perhaps it should even be removed altogether from future years. The handling of DSM effects is discuss...

AI summary NSPI's load forecasting incorporates economic indicators, CBoC forecasts, and climate change adjustments (HDD/CDD trends). The approach acknowledges climate reality but notes the need for regular data updates. Economic forecast uncertainty and long-term weather trends are highlighted as key considerations.

vided transportation and urban planning consultant services to cities and business districts across Texas. 1997–99 Senior Legislative Analyst and Technology Projects Coordinator, Office of Program Policy Analysis and Government Accountabil...

AI summary A professional with experience in environmental management, legislative analysis, and consulting, focusing on issues such as water supply policy, environmental permitting, and climate change assessments in Texas and Florida.

t Economy Summer Study on Energy Efficiency in Buildings, August 2010. “Monopsony Behavior in the Power Generation Market,” with Mike O’Boyle and Ron Lehr, Electricity Journal, August-September 2020. REPORTS “Policy Options: Responding to...

AI summary A list of studies and reports on energy efficiency, climate policy, and management practices, including academic papers and policy analyses from various institutions and government agencies, spanning topics like monopsony behavior in power markets and financial management in Florida school districts.