10.11583/DTU.7599629
Karen Pardos Olsen
Hourly timeseries data of wind and solar power production as well as electricity consumption for all of Denmark from the Danish TSO Energinet
<div>This dataset contains measured timeseries of renewable energy production and electricity consumption as well as exchange with neighboring countries/continents on hourly time resolution. The timeseries data has been divided into two xml files, one for each of the Danish price regions; DK1 (Western Denmark) and DK2 (Eastern Denmark). The data comes from the Danish TSO Energinet and was used in a flexibility study by Karen Olsen in 2018-19 leading to a paper that is to appear in the proceedings of the ICAE19 conference and is entitled: "Data-driven flexibility requirements for current and future scenarios with high penetration of renewables". A journal paper has also been submitted using the same data.</div><div><br></div><div><div>The data has been extracted from a website run by Energinet at the following link where time series data is publicly available:</div><div>https://www.energidataservice.dk/dataset/electricitybalance<br></div><div>The present version was extracted in September 2019 and contains installation and production data from 2011 until and including the beginning of September 2019.</div></div><div><br></div><div>The data is in the originally downloaded xml files, ready to be parsed by the python code written by Karen Olsen (see reference for Fanfare code).</div><div><br></div><div><div>Data used for analysis:</div><div>- offshore wind power generated (column: "Offshore Wind Power" in the xml file)</div><div>- onshore wind power generated (column: "Onshore Wind Power" in the xml file)<br></div><div>- solar power generated (column: "Solar Power Prod" in the xml file)<br></div><div>- gross consumption (column: "Gross Con" in the xml file)</div></div><div><br></div><div><div>Further information and code for analysis can be found under:</div><div><a href="https://kpolsen.github.io/FANFARE/">https://kpolsen.github.io/FANFARE/</a><br></div><div><br></div><div>Contains data used pursuant to 'Conditions for use of Danish public-sector data' from the Energi Data Service portal (www.energidataservice.dk).<br></div></div>
91305 Energy Generation, Conversion and Storage Engineering
90699 Electrical and Electronic Engineering not elsewhere classified
Technical University of Denmark
2019
2019-01-17
2019-12-11
Dataset
9631988 Bytes
CC BY 4.0