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.

Publikationsjahr
2020
Publikationstyp
Sonstiger Publikations- oder Dokumenttyp
Zitation

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

DOI
10.5281/zenodo.3891480
Links
https://doi.org/10.5281/zenodo.3533038 https://doi.org/10.1016/j.esr.2019.100388 https://doi.org/10.5281/zenodo.3246303
Beteiligte Mitarbeiter
Beteiligte Projekte
Die Wende zu einem erneuerbaren Stromsystem und ihre Wechselwirkungen mit anderen politischen Zielen (TRIPOD)