How to cite this Dataset
Bloomfield, Hannah, Brayshaw, David and Charlton-Perez, Andrew (2019): ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation. University of Reading. Dataset. https://doi.org/10.17864/1947.227
Description
The ERA5 reanalysis data (1979-2018) has been used to calculate the three-hourly country aggregated wind and solar power generation for 28 European countries based on a distribution of wind and solar farms which is considered to be representative of the current situation (2017). In addition a corresponding daily time series of nationally aggregated electricity demand is provided. The datasets have been produced to investigate the inter-annual variability of the three weather-dependent power system components.
** Issues with the timestamps in the 3-hourly wind and solar power in this dataset were identified, and a corrected version is available at http://dx.doi.org/10.17864/1947.273. **
Resource Type: | Dataset |
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Creators: | Bloomfield, Hannah ORCID: https://orcid.org/0000-0002-5616-1503, Brayshaw, David and Charlton-Perez, Andrew ORCID: https://orcid.org/0000-0001-8179-6220 |
Rights-holders: | University of Reading |
Data Publisher: | University of Reading |
Publication Year: | 2019 |
Data last accessed: | 31 October 2024 |
DOI: | https://doi.org/10.17864/1947.227 |
Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/227 |
Organisational units: | Science > School of Mathematical, Computational and Physical Sciences > NCAS Science > School of Mathematical, Computational and Physical Sciences > Department of Meteorology |
Participating Organisations: | University of Reading |
Keywords: | electricity demand, wind power generation, solar power generation |
Rights: | |
Data Availability: | OPEN |
Available Versions of this Item
- ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation. (deposited 19 Aug 2019 10:03) [Currently Displayed]