Headline: Capacity factor time series for solar and wind power on a 50 km^2 grid in Europe

This spatio-temporal dataset contains capacity factors timeseries for locations on a grid with 50km edge length in Europe. The data is resolved in one hour timesteps and comprises the years 2000--2016. It has been generated using Renewables.ninja and is based on MERRA-2 reanalysis data. For each of the ~2700 onshore location, it contains one time series for onshore wind turbines and five time series for PV installations with different orientations and tilts. PV time series exist for (1) installations on open fields, (2) installations on all possible rooftops, (3) south-facing and flat rooftops, (4) east- and west-facing rooftops, (5) north-facing rooftops. For each of the ~2800 offshore location there is one timeseries for offshore wind turbines.

Two GeoTIFF files contain spatial information of onshore and offshore locations. For each of the three technologies -- onshore wind, offshore wind, and PV -- there is one NetCDF file determining the temporal dimension and containing the data. The GeoTIFF and NetCDF files are linked through unique IDs for all locations.

This data serves as input data to euro-calliope, a model of the European electricity system.

Publication Year
Publication Type
Research data

Tröndle, T., & Pfenninger, S. (2020). Capacity factor time series for solar and wind power on a 50 km^2 grid in Europe. Zenodo.

https://doi.org/10.5281/zenodo.3533038 https://doi.org/10.1016/j.esr.2019.100388 https://doi.org/10.5281/zenodo.3246303
Staff involved
Projects involved
The transition to a renewable electricity system and its interactions with other policy aims (TRIPOD)