MERRA2 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation

Description

The MERRA2 reanalysis data (1980-2018) has been used to calculate the 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 data sets have been produced to investigate the inter-annual variability of the three weather-dependent power system components.

Resource Type:	Dataset
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:	2020
Data last accessed:	5 April 2024
DOI:	https://doi.org/10.17864/1947.239
Metadata Record URL:	https://researchdata.reading.ac.uk/id/eprint/239
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:	Creative Commons Attribution 4.0 International
Data Availability:	OPEN
Additional details Additional details Project Name: Sub-seasonal to seasonal forecasting for energy (S2S4E) Funders: European Commission (776787) Resource Language: English Temporal coverage: From 1 January 1980 To 31 December 2018 Geographic coverage: 28 European Countries Depositing User: Dr Hannah Bloomfield Date Deposited: 24 Feb 2020 13:57 Last Modified: 01 Apr 2024 04:19