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

<p>This spatio-temporal dataset contains capacity factors timeseries for&nbsp;locations on a grid with 50km edge length&nbsp;in Europe. The data is&nbsp;resolved in one hour timesteps and comprises the years 2000--2016. It has been generated using <a href="https://www.renewables.ninja">Renewables.ninja</a> and is based on MERRA-2&nbsp;reanalysis data. For each of the ~2700&nbsp;onshore location, it contains one&nbsp;time series for onshore wind turbines&nbsp;and five&nbsp;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.&nbsp;For each of the ~2800&nbsp;offshore location there is one timeseries for offshore wind turbines.</p> <p>Two GeoTIFF files contain spatial information&nbsp;of onshore and offshore locations.&nbsp;For each of the three technologies --&nbsp;onshore wind, offshore wind, and PV -- there is one NetCDF file determining the temporal dimension and containing the data. The GeoTIFF and NetCDF&nbsp;files are linked through unique IDs for all locations.</p> <p>This data serves as input data to euro-calliope, a model of the European electricity system.</p> <p>The following parameters have been used to generate the timeseries:</p> <pre><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></pre> <p>CHANGELOG:</p> <p>Version 3 (2022-05-18)</p> <p>* Update spatial scope to include Iceland and its offshore EEZ.<br> *&nbsp;Update&nbsp;temporal scope to include 2017 and 2018.</p> <p>Effect of increasing spatial scope is a slight change in the spatial position of the data points.</p> <p>Version 2 (2020-06-18)</p> <p>* Add time series for rooftop PV with different orientations.</p>

ShareScore

52/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
20
Reuse readiness
8
Engagement
8

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