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An all-Africa dataset of energy model “supply regions” for solar photovoltaic and wind power

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Fecha
2022-12-01
Autor
Sterl, Sebastian
Hussain, Bilal
Miketa, Asami
Li, Yunshu
Merven, Bruno
Ben Ticha, Mohammed Bassam
Abbas Eltahir Elabbas, Mohamed
Thiery, Wim
Russo, Daniel
Estado
info:eu-repo/semantics/publishedVersion
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Resumen
 
 
With solar and wind power generation reaching unprecedented growth rates globally, much research effort has recently gone into a comprehensive mapping of the worldwide potential of these variable renewable electricity (VRE) sources. From a perspective of energy systems analysis, the locations with the strongest resources may not necessarily be the best candidates for investment in new power plants, since the distance from existing grid and road infrastructures and the temporal variability of power generation also matter. To inform energy planning and policymaking, cost-optimisation models for energy systems must be fed with adequate data on potential sites for VRE plants, including costs reflective of resource strength, grid expansion needs and full hourly generation profiles. Such data, tailored to energy system models, has been lacking up to now. In this study, we present a new open-source and open-access all-Africa dataset of “supply regions” for solar photovoltaic and onshore wind power to feed energy models and inform capacity expansion planning.
 
URI
https:doi.org10.1038s41597-022-01786-5
An all-Africa dataset of energy model “supply regions” for solar photovoltaic and wind power
Tipo de Actividad
Artículos en revistas
Créditos
3.0
ISSN
2052-4463
Materias/ categorías / ODS
Instituto de Investigación Tecnológica (IIT)
Palabras Clave

Energy planning; Cost-optimization models; Supply regions; Variable renewable energy; Africa
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Repositorio de la Universidad Pontificia Comillas copyright © 2015  Desarrollado con DSpace Software
Contacto | Sugerencias