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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.35177", 
  "title": "The RE-Europe data set", 
  "issued": {
    "date-parts": [
      [
        2015, 
        12, 
        10
      ]
    ]
  }, 
  "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 the wind</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 with 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 authors are partly supported by the Danish Council for Strategic Research through the project ``5s --- Future Electricity Markets&#39;&#39;, no. 12--132636/DSF.</p>\n\n<p>&nbsp;</p>", 
  "author": [
    {
      "given": "Tue V.", 
      "family": "Jensen"
    }, 
    {
      "given": "Hugo", 
      "family": "de Sevin"
    }, 
    {
      "given": "Martin", 
      "family": "Greiner"
    }, 
    {
      "given": "Pierre", 
      "family": "Pinson"
    }
  ], 
  "type": "dataset", 
  "id": "35177"
}
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