Dataset Open Access

The RE-Europe data set

Jensen, Tue V.; de Sevin, Hugo; Greiner, Martin; Pinson, Pierre

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.999150", 
  "title": "The RE-Europe data set", 
  "issued": {
    "date-parts": [
  "abstract": "<p>This data set models the continental European electricity system, including demand and renewable energy inflows for the period 2012-2014.</p>\n\n<p>The main features of the data set are:</p>\n\n<ul>\n\t<li>High resolution (~50km, 1 hour) and large extent (Mainland Europe, 3 years)</li>\n\t<li>Technical &amp; economic characteristics of generators from real-world data and best available estimates</li>\n\t<li>Synthetic wind and solar observations and forecasts from numerical weather prediction models, describing the full spatio-temporal structure of potential wind and solar production</li>\n</ul>\n\n<p>The transmission system comprises 1494 buses and 2156 lines, and is fitted based on [1].<br>\nThe location, capacity and fuel type&nbsp;for 969 real-world generators are given based on the information in [2], and these are supplied with full cost specifications estimated based on fuel type [3].<br>\nFor each bus, signals for load [4, 5], wind and solar production is given for each hour of the three years, with the wind and solar signals based on meteorological weather data from&nbsp;[6,7].<br>\nFurther, at hour 00 and 12, forecasts for the solar and wind production are given for the following 91 hours, based on weather data from [6].<br>\nAll spatially-distributed data is aggregated to the nodal domain by summation/averaging over the area closest to each node.</p>\n\n<p>Wind and solar signals and forecast are given as capacity factors, i.e. production relative to rated power. To use the renewable signals, a capacity layout must be specified, which assigns an installed solar and wind capacity to each node.<br>\nWe supply two sets of capacity layouts, both scaled so the mean yearly production of (solar, wind) is equal the mean yearly load across EU.&nbsp;<br>\nThe Uniform layout is scaled to make the capacity in each node proportional to the area aggregated by that node - i.e. capacity is distributed uniformly across EU.<br>\nThe Proportional layout is scaled to make the capacity in each node proportional to the area aggregated by that node&nbsp;times the mean yearly capacity factor of the resource at that node - i.e. capacity is installed preferentially in nodes with high capacity factors.<br>\n<br>\nThe data is intended for use in, e.g:</p>\n\n<ul>\n\t<li>Operational studies on markets</li>\n\t<li>Investment studies (generation capacity and&nbsp;transmission)</li>\n\t<li>Evaluation of future energy scenarios</li>\n</ul>\n\n<p>The source code used to generate this data is available at [9].</p>\n\n<p>Version History:</p>\n\n<p>V1.2:</p>\n\n<ul>\n\t<li>Line information extended with data on the number of parallel lines in each connection.</li>\n\t<li>Fixed generator capacity typos.</li>\n</ul>\n\n<p>V1.1: License relaxed to CC-BY</p>\n\n<p>V1.0: Initial Release</p>", 
  "author": [
      "family": "Jensen, Tue V."
      "family": "de Sevin, Hugo"
      "family": "Greiner, Martin"
      "family": "Pinson, Pierre"
  "note": "The authors are partly supported by the Danish Council for Strategic Research through the project ``5s --- Future Electricity Markets'', no. 12--132636/DSF.", 
  "type": "dataset", 
  "id": "999150"
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