ArticleScientific data2022
An all-Africa dataset of energy model "supply regions" for solar photovoltaic and wind power.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Variable renewables fortify Ecuador's power system against recurrences of drought-driven energy crises.Nature water · 2026Article
- CPVPD-2024: A Chinese photovoltaic plant dataset derived via a topography-enhanced deep learning framework.Scientific data · 2025Article
- The impact of temporal hydrogen regulation on hydrogen exporters and their domestic energy transition.Nature communications · 2025Article
- Green hydrogen futures in LMICs: Opportunities for fertilizer and steel production in Kenya.iScience · 2025Article
- Avoiding ecosystem and social impacts of hydropower, wind, and solar in Southern Africa's low-carbon electricity system.Nature communications · 2024Article
- An all-Africa dataset of energy model "supply regions" for solar photovoltaic and wind power.Scientific data · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.