A harmonised, high-coverage, open dataset of solar photovoltaic installations in the UK
| Autor: | Damien Tanner, James Geddes, Dan Stowell, John Kelly, Jamie M. Taylor, Ed Chalstrey, Ethan Jones |
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| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Data Descriptor 010504 meteorology & atmospheric sciences 0211 other engineering and technologies 02 engineering and technology Library and Information Sciences High coverage Track (rail transport) 01 natural sciences Education Energy infrastructure lcsh:Science Climate-change mitigation 0105 earth and related environmental sciences Photovoltaic system 021107 urban & regional planning Environmental economics Computer Science Applications Metadata Photovoltaics Electricity generation Software deployment Environmental science lcsh:Q Statistics Probability and Uncertainty Information Systems |
| Zdroj: | Scientific Data Scientific Data, Vol 7, Iss 1, Pp 1-15 (2020) |
| ISSN: | 2052-4463 1305-0869 |
| Popis: | Solar photovoltaic (PV) is an increasingly significant fraction of electricity generation. Efficient management, and innovations such as short-term forecasting and machine vision, demand high-resolution geographic datasets of PV installations. However, official and public sources have notable deficiencies: spatial imprecision, gaps in coverage and lack of crucial meta data, especially for small-scale solar panel installations. We present the results of a major crowd-sourcing campaign to create open geographic data for over 260,000 solar PV installations across the UK, covering an estimated 86% of the capacity in the country. We focus in particular on capturing small-scale domestic solar PV, which accounts for a significant fraction of generation but was until now very poorly documented. Our dataset suggests nameplate capacities in the UK (as of September 2020) amount to a total of 10.66 GW explicitly mapped, or 13.93 GW when missing capacities are inferred. Our method is applied to the UK but applicable worldwide, and compatible with continual updating to track the rapid growth in PV deployment. Measurement(s) geographic location • power • photovoltaic system • solar power station Technology Type(s) digital curation • computational modeling technique Factor Type(s) installation geographical size Sample Characteristic - Environment stellar radiation • power plant Sample Characteristic - Location United Kingdom Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.13050869 |
| Databáze: | OpenAIRE |
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