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A spatiotemporal atlas of hydropower in Africa for energy modelling purposes

The modelling of electricity systems with substantial shares of renewable resources, such as solar power, wind power and hydropower, requires datasets on renewable resource profiles with high spatiotemporal resolution to be made available to the energy modelling community. Whereas such resources exi...

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Autores principales: Sterl, Sebastian, Devillers, Albertine, Chawanda, Celray James, van Griensven, Ann, Thiery, Wim, Russo, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445926/
https://www.ncbi.nlm.nih.gov/pubmed/37645122
http://dx.doi.org/10.12688/openreseurope.13392.3
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author Sterl, Sebastian
Devillers, Albertine
Chawanda, Celray James
van Griensven, Ann
Thiery, Wim
Russo, Daniel
author_facet Sterl, Sebastian
Devillers, Albertine
Chawanda, Celray James
van Griensven, Ann
Thiery, Wim
Russo, Daniel
author_sort Sterl, Sebastian
collection PubMed
description The modelling of electricity systems with substantial shares of renewable resources, such as solar power, wind power and hydropower, requires datasets on renewable resource profiles with high spatiotemporal resolution to be made available to the energy modelling community. Whereas such resources exist for solar power and wind power profiles on diurnal and seasonal scales across all continents, this is not yet the case for hydropower. Here, we present a newly developed open-access African hydropower atlas, containing seasonal hydropower generation profiles for nearly all existing and several hundred future hydropower plants on the African continent. The atlas builds on continental-scale hydrological modelling in combination with detailed technical databases of hydropower plant characteristics and can facilitate modelling of power systems across Africa.
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spelling pubmed-104459262023-08-29 A spatiotemporal atlas of hydropower in Africa for energy modelling purposes Sterl, Sebastian Devillers, Albertine Chawanda, Celray James van Griensven, Ann Thiery, Wim Russo, Daniel Open Res Eur Data Note The modelling of electricity systems with substantial shares of renewable resources, such as solar power, wind power and hydropower, requires datasets on renewable resource profiles with high spatiotemporal resolution to be made available to the energy modelling community. Whereas such resources exist for solar power and wind power profiles on diurnal and seasonal scales across all continents, this is not yet the case for hydropower. Here, we present a newly developed open-access African hydropower atlas, containing seasonal hydropower generation profiles for nearly all existing and several hundred future hydropower plants on the African continent. The atlas builds on continental-scale hydrological modelling in combination with detailed technical databases of hydropower plant characteristics and can facilitate modelling of power systems across Africa. F1000 Research Limited 2022-03-29 /pmc/articles/PMC10445926/ /pubmed/37645122 http://dx.doi.org/10.12688/openreseurope.13392.3 Text en Copyright: © 2022 Sterl S et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Note
Sterl, Sebastian
Devillers, Albertine
Chawanda, Celray James
van Griensven, Ann
Thiery, Wim
Russo, Daniel
A spatiotemporal atlas of hydropower in Africa for energy modelling purposes
title A spatiotemporal atlas of hydropower in Africa for energy modelling purposes
title_full A spatiotemporal atlas of hydropower in Africa for energy modelling purposes
title_fullStr A spatiotemporal atlas of hydropower in Africa for energy modelling purposes
title_full_unstemmed A spatiotemporal atlas of hydropower in Africa for energy modelling purposes
title_short A spatiotemporal atlas of hydropower in Africa for energy modelling purposes
title_sort spatiotemporal atlas of hydropower in africa for energy modelling purposes
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445926/
https://www.ncbi.nlm.nih.gov/pubmed/37645122
http://dx.doi.org/10.12688/openreseurope.13392.3
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