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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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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. |
format | Online Article Text |
id | pubmed-10445926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
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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