| Summary: | This spatio-temporal dataset contains capacity factors timeseries forlocations on a grid with 50km edge lengthin Europe. The data isresolved in one hour timesteps and comprises the years 2000--2016. It has been generated using Renewables.ninja and is based on MERRA-2reanalysis data. For each of the ~2700onshore location, it contains onetime series for onshore wind turbinesand fivetime 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 ~2800offshore location there is one timeseries for offshore wind turbines. Two GeoTIFF files contain spatial informationof 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 NetCDFfiles are linked through unique IDs for all locations. This data serves as input data to euro-calliope, a model of the European electricity system. The following parameters have been used to generate the timeseries: <code>resolution-grid: 50 # [km^2] corresponding to MERRA resolution pv-performance-ratio: 0.9 hub-height: onshore: 105 # m, median hub height of V90/2000 in Europe between 2010 and 2018 offshore: 87 # m, median hub height of SWT-3.6-107 in Europe between 2010 and 2018 turbine: onshore: "vestas v90 2000" # most built between 2010 and 2018 in Europe offshore: "siemens swt 3.6 107" # most built between 2010 and 2018 in Europe</code> CHANGELOG: Version 3 (2022-05-18) * Update spatial scope to include Iceland and its offshore EEZ. *Updatetemporal scope to include 2017 and 2018. Effect of increasing spatial scope is a slight change in the spatial position of the data points. Version 2 (2020-06-18) * Add time series for rooftop PV with different orientations.
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