Dataset Open Access

The RE-Europe data set

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

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  <identifier identifierType="DOI">10.5281/zenodo.999150</identifier>
      <creatorName>Jensen, Tue V.</creatorName>
      <givenName>Tue V.</givenName>
      <affiliation>Technical University of Denmark, Denmark</affiliation>
      <creatorName>de Sevin, Hugo</creatorName>
      <familyName>de Sevin</familyName>
      <affiliation>Technical University of Denmark, Denmark</affiliation>
      <creatorName>Greiner, Martin</creatorName>
      <affiliation>Aarhus University, Denmark</affiliation>
      <creatorName>Pinson, Pierre</creatorName>
      <affiliation>Technical University of Denmark, Denmark</affiliation>
    <title>The RE-Europe data set</title>
    <subject>Energy system models</subject>
    <subject>Electricity markets</subject>
    <subject>Renewable energy</subject>
    <date dateType="Issued">2017-09-29</date>
  <resourceType resourceTypeGeneral="Dataset"/>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsCitedBy">10.1038/sdata.2017.175</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.620228</relatedIdentifier>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;This data set models the continental European electricity system, including demand and renewable energy inflows for the period 2012-2014.&lt;/p&gt;

&lt;p&gt;The main features of the data set are:&lt;/p&gt;

	&lt;li&gt;High resolution (~50km, 1 hour) and large extent (Mainland Europe, 3 years)&lt;/li&gt;
	&lt;li&gt;Technical &amp;amp; economic characteristics of generators from real-world data and best available estimates&lt;/li&gt;
	&lt;li&gt;Synthetic wind and solar observations and forecasts from numerical weather prediction models, describing the full spatio-temporal structure of potential wind and solar production&lt;/li&gt;

&lt;p&gt;The transmission system comprises 1494 buses and 2156 lines, and is fitted based on [1].&lt;br&gt;
The location, capacity and fuel type&amp;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].&lt;br&gt;
For 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&amp;nbsp;[6,7].&lt;br&gt;
Further, 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].&lt;br&gt;
All spatially-distributed data is aggregated to the nodal domain by summation/averaging over the area closest to each node.&lt;/p&gt;

&lt;p&gt;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.&lt;br&gt;
We supply two sets of capacity layouts, both scaled so the mean yearly production of (solar, wind) is equal the mean yearly load across EU.&amp;nbsp;&lt;br&gt;
The 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.&lt;br&gt;
The Proportional layout is scaled to make the capacity in each node proportional to the area aggregated by that node&amp;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.&lt;br&gt;
The data is intended for use in, e.g:&lt;/p&gt;

	&lt;li&gt;Operational studies on markets&lt;/li&gt;
	&lt;li&gt;Investment studies (generation capacity and&amp;nbsp;transmission)&lt;/li&gt;
	&lt;li&gt;Evaluation of future energy scenarios&lt;/li&gt;

&lt;p&gt;The source code used to generate this data is available at [9].&lt;/p&gt;

&lt;p&gt;Version History:&lt;/p&gt;


	&lt;li&gt;Line information extended with data on the number of parallel lines in each connection.&lt;/li&gt;
	&lt;li&gt;Fixed generator capacity typos.&lt;/li&gt;

&lt;p&gt;V1.1: License relaxed to CC-BY&lt;/p&gt;

&lt;p&gt;V1.0: Initial Release&lt;/p&gt;</description>
    <description descriptionType="Other">The authors are partly supported by the Danish Council for Strategic Research through the project ``5s --- Future Electricity Markets'', no. 12--132636/DSF.</description>
    <description descriptionType="Other">{"references": ["[1] Bialek, JW; Hutcheon, N: _Updated and validated power flow model of the main continental European transmission network_ (2013), available at", "[2] Data obtained from", "[3] EIA. _Levelized Cost and Levelized Avoided Cost of New Generation Resources_ in the Annual Energy Outlook 2014. Technical Report April, US Energy Information administration, 2014.", "[4] ENTSO-E. European Network of Transmission System Operators for Electricity.", "[5] Gridded Population of the World, Version 3 (GPWv3): Population Density Grid, Future Estimates 2010, 2005. DOI: 10.7927/H4ST7MRB. Accessed 01 Nov 2014", "[6] European Centre for Medium-Range Weather Forecasts (2011): _ECMWF's Operational Model Analysis, starting in 2011._ Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. Dataset. Accessed 03 Mar 2015.", "[7] Bollmeyer, C. _Towards a high-resolution regional reanalysis for the European CORDEX domain._ Quarterly Journal of the Royal Meteorological Society 2014, 40.", "[8] Gorm B. Andresen, Anders A. S\u00f8ndergaard, Martin Greiner, _Validation of Danish wind time series from a new global renewable energy atlas for energy system analysis_, Energy, Volume 93, Part 1, 15 December 2015, Pages 1074-1088, ISSN 0360-5442,", "[9] RE-Europe github repository:"]}</description>
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