How to cite this Dataset
Drew, Daniel, Bloomfield, Hannah, Coker, Phil, Barlow, Janet and Brayshaw, David (2019): MERRA derived hourly time series of GB-aggregated wind power, solar power and demand. University of Reading. Dataset. https://doi.org/10.17864/1947.191
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: | 4 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: | |
| Data Availability: | OPEN |
Related resources
Related CentAUR publications
- Importance subsampling: improving power system planning under climate-based uncertainty
- Quantifying the increasing sensitivity of power systems to climate variability
- 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.
Altmetric
Actions (Log-in required)
View item