Global, country-level installable capacity, annual generation, costs and hourly capacity factors of power generation, calculated for the NoRaLock project.
This data set contains cost-potential-curves of renewable power generation in the years 2030, 2040 and 2050, worldwide (256 countries/regions), as well as power generation time series with hourly resolution for each cost category. The term “potential” is used here to describe m
This data set contains cost-potential-curves of renewable power generation in the years 2030, 2040 and 2050, worldwide (256 countries/regions), as well as power generation time series with hourly resolution for each cost category.
The term “potential” is used here to describe maximum nominal capacities and corresponding annual power generation of a technology that can be installed considering area suitability and availability. The potentials have been calculated with EnDAT (Energy Data Analysis Tool), a tool initiated at the German Aerospace Center DLR by (Scholz 2012), globally extended by (Stetter 2014) and maintained and further developed for this data publication. All input data sets are described in the Metadata files. All parameter assumptions have been harmonized within the NoRaLock project and are listed in file EnDAT_Para_NoRaLock_20250407.csv.
The data were calculated within the NoRaLock project, funded by BMWK, FKZ 03EI1054C. The considered technologies are (technology identifiers in parentheses):
- onshore wind turbines (“wind_onshore”)
- offshore wind turbines with fixed foundation (“wind_offshore_foundation”)
- offshore floating wind turbines (“wind_offshore_floating”)
- rooftop photovoltaic (“pv_rooftop”)
- open area photovoltaic with fixed mounting, facing south on the northern hemisphere and facing north on the southern hemisphere (“pv_open_area_fixed_S”)
- parabolic trough concentrating solar power, mounted in Nort-South-direction and tracked east-west (“csp_parabolic_trough_NS”). In case of csp, thermal capacity and heat generation of the solar field is provided.
The data are generated using the Energy Data Analysis Tool EnDAT, developed at DLR (see Scholz 2012, http://dx.doi.org/10.18419/opus-2015) and additional python scripts for deriving costs and installed capacities and time series for cost categories.
EnDAT uses open data sets of land availability and area suitability factors to assess the areas that are usable for each of the investigated technologies. These spatial input data sets are:
- land cover (Copernicus Global Land Service: Land Cover 100m: collection 3 : epoch 2015: Globe, https://zenodo.org/records/3243509)
- elevation and bathymetry (GEBCO_2021_Grid, https://www.gebco.net/data_and_products/historical_data_sets/#gebco_2021)
- protected areas (World Database on Protected Areas WDPA, https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA)
- average resource quality (GWA 3.0, https://globalwindatlas.info/en/)
- distance to coast (Distance to the Neares
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Files are hosted on the source repository. Click download to access the full dataset.