Access the input data behind the three possible energy scenarios presented in this interactive tool. Under each of the following data categories, you can find a short description of the data set and the related table preview. It is possible to download each of the data series in HTML, PDF and machine-readable raw data (CSV) formats. In order to improve data quality, do not hesitate to provide the GBPN with comments and suggestions for improvement using the feedback form. [Data collection and analysis performed by the Centre for Climate Change and Sustainable Energy Policy (3CSEP), Central European University.]
Floor area per capita
Floor area per capita (2005) for all regions
Data on floor area per capita for each region and residential building type (single-family, multifamily, informal housing) separately for urban and rural areas in 2005, which is used in modeling the floor area for the residential sector. Data on commercial and public floor area for each region in 2005, obtained from BUENAS model, which is used in modeling the floor area for the commercial and public sector.
Commercial floor area
Commercial floor area (2005) for all regions
Data on demolition and retrofit rates in different regions, as well as assumptions for the change in retrofit rates under different scenarios
Population projections
Population projections (2005-2050) for all regions, all years
Data on population for each region from 2005 till 2050, obtained from MESSAGE model of IIASA. Population projections play the key role for modeling of the floor area for the residential sector.
GDP projections
GDP projections (2005-2050) for all regions, all years
Data on GDP (MER) for each region from 2005 till 2050, obtained from MESSAGE model of IIASA. GDP projections play the key role for modeling of the floor area for the commercial and public sector.
Urbanization projections
Urbanization projections (2005-2050) for all regions, all years
Data on urbanization rate for each region from 2005 till 2050, obtained from MESSAGE model of IIASA. Urbanization rate projections play the key role for modeling the split between urban and rural areas in the floor area for the residential sector.
Energy intensities for SH&C
Energy intensities for SH&C for all regions, all scenarios, all building types
Data on energy intensities, i.e. specific final energy consumption (in kWh/m2), for space heating and cooling, data on which have been collected and estimated from a great number of sources. Energy intensities are provided for each region, climate zone, urban or rural areas, building type and building vintage for 2005.
Input data for water heating (WH)
Input data for water heating (WH) for all regions, all scenarios
Total hot water energy consumption for residential and commercial buildings in 2005 for each region. For some regions values are taken from statistical databases (e.g. US values from the US Energy Information Administration’s database); for other regions research articles and reports were used (e.g. LBNL reports for China: e.g. Zhou et al. 2009; Fridley et al. 2008), and in some cases hot water energy use was calculated on the basis of existing information on sectoral energy use and our own assumptions on the share of water heating from total energy use.