How to cite this Dataset
Drew, Daniel, Brayshaw, David, Barlow, Janet and Coker, Phil (2016): An hourly time series of GB-aggregated wind power generation from 1980-2013, based on a future distribution of wind farms with a high level of offshore capacity. University of Reading. Dataset. https://doi.org/10.17864/1947.75
Description
MERRA reanalysis data (>34 years available) have been used to estimate the hourly aggregated wind power generation for Great Britain based on a distribution of wind farms which is considered to be representative of a future scenario with a high penetration of offshore capacity. The file details the GB-total hourly capacity factor from 1980 to 2013 inclusive. The data have been produced to understand the long term variability of the wind generation with high levels of capacity and the possible implications for UK power system.
Resource Type: | Dataset |
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Creators: | Drew, Daniel, Brayshaw, David ORCID: https://orcid.org/0000-0002-3927-4362, Barlow, Janet and Coker, Phil |
Rights-holders: | University of Reading |
Data Publisher: | University of Reading |
Publication Year: | 2016 |
Data last accessed: | 4 November 2024 |
DOI: | https://doi.org/10.17864/1947.75 |
Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/75 |
Organisational units: | Science > School of the Built Environment > Construction Management and Engineering > Innovative and Sustainable Technologies Science > School of Mathematical, Computational and Physical Sciences > Department of Meteorology |
Participating Organisations: | University of Reading |
Keywords: | wind power, offshore, energy, renewables |
Rights: | |
Data Availability: | OPEN |
Related resources
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- The impact of future offshore wind farms on wind powergeneration in Great Britain
- Using reanalysis data to quantify extreme wind power generation statistics : a 33 year case study in Great Britain
- An aggregated wind power generation model based on MERRA reanalysis data: MATLAB model and example data for the April 2014 wind farm distribution of Great Britain.