Harmonised global datasets of wind and solar farm locations and power.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
29 04 2020
29 04 2020
Historique:
received:
07
01
2020
accepted:
31
03
2020
entrez:
1
5
2020
pubmed:
1
5
2020
medline:
1
5
2020
Statut:
epublish
Résumé
Energy systems need decarbonisation in order to limit global warming to within safe limits. While global land planners are promising more of the planet's limited space to wind and solar photovoltaic, there is little information on where current infrastructure is located. The majority of recent studies use land suitability for wind and solar, coupled with technical and socioeconomic constraints, as a proxy for actual location data. Here, we address this shortcoming. Using readily accessible OpenStreetMap data we present, to our knowledge, the first global, open-access, harmonised spatial datasets of wind and solar installations. We also include user friendly code to enable users to easily create newer versions of the dataset. Finally, we include first order estimates of power capacities of installations. We anticipate these data will be of widespread interest within global studies of the future potential and trade-offs associated with the global decarbonisation of energy systems.
Identifiants
pubmed: 32350265
doi: 10.1038/s41597-020-0469-8
pii: 10.1038/s41597-020-0469-8
pmc: PMC7190618
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
130Subventions
Organisme : RCUK | Natural Environment Research Council (NERC)
ID : NE/M019640/1
Pays : International
Organisme : RCUK | Natural Environment Research Council (NERC)
ID : NE/M019640/1
Pays : International
Organisme : RCUK | Natural Environment Research Council (NERC)
ID : NE/M019640/1
Pays : International
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