Space heating flexibility potential in British homes
This dataset quantifies heating flexibility potential in the current housing stock with a mean thermal time constant, mean thermal capacity, and the total number of households in each Lower layer Super Output Area (LSOA) and Data Zone (DZ) in Britain. The mean thermal capacity is calculated based on...
| Main Authors: | , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
University of Oxford
2024
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| Summary: | This dataset quantifies heating flexibility potential in the current housing stock with a mean thermal time constant, mean thermal capacity, and the total number of households in each Lower layer Super Output Area (LSOA) and Data Zone (DZ) in Britain. The mean thermal capacity is calculated based on the mean number of rooms in each dwelling in each region from the 2011 Censuses, assuming 17.6 square meters of floor space per room and a medium heat capacity value of 250 kJ/m²ºC from the 2012 Standard Assessment Procedure. Thermal time constants are calculated based on the mean thermal capacity, as well as heat losses calculated from domestic gas consumption for space heating and heating degree days (HDDs) in each region. Mean domestic gas consumption in each region from the UK Department for Energy Security and Net Zero is scaled to gas consumption for space heating using Energy Consumption in the United Kingdom data. HDDs are calculated based on HadGrid-UK gridded historical temperature data.
LSOAs and DZs are labeled with their LSOA code. This dataset is available in geoJSON form with geographic data for each region as well as a CSV without geographic information. This dataset was created in Python using the open-source GeoHeatFlex software: https://github.com/clairehalloran/GeoHeatFlex |
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