MERRA derived hourly time series of GB-aggregated wind power, solar power and demand

Description

MERRA reanalysis data (1980-2015) have been used to estimate the hourly aggregated wind and solar power generation for Great Britain based on a distribution of wind and solar farms which is considered to be representative of the current situation (June 2017). In addition a corresponding hourly time series of nationally aggregated (for Great Britain) electricity demand has been determined. The data have been produced to understand the long term variability of the renewable generation and the possible implications for UK power system.

Resource Type:	Dataset
Creators:	Drew, Daniel, Bloomfield, Hannah ORCID: https://orcid.org/0000-0002-5616-1503, Coker, Phil, Barlow, Janet and Brayshaw, David ORCID: https://orcid.org/0000-0002-3927-4362
Rights-holders:	University of Reading
Data Publisher:	University of Reading
Publication Year:	2019
Data last accessed:	25 November 2024
DOI:	https://doi.org/10.17864/1947.191
Metadata Record URL:	https://researchdata.reading.ac.uk/id/eprint/191
Organisational units:	Science > School of the Built Environment > Construction Management and Engineering > Innovative and Sustainable Technologies Interdisciplinary centres and themes > Energy Research 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:	renewable, demand, wind, solar, electricity, reanalysis
Rights:	Creative Commons Attribution 4.0 International
Data Availability:	OPEN
Additional details Additional details Project Name: Solar PV Forecasting Phase 2 Funders: National Grid (NIA_NGET0183) Resource Language: English Geographic coverage: Great Britain Depositing User: Dr Daniel Drew Date Deposited: 01 Feb 2019 08:30 Last Modified: 28 Nov 2024 05:19