Global dataset combining open-source hydropower plant and reservoir data

Publication date

2025-04-17

Authors

Shah, JigneshISNI 0000000530816489
Hu, JingORCID 0000-0002-1182-5687ISNI 0000000492798768
Edelenbosch, Oreane Y.ISNI 0000000493300992
van Vliet, Michelle T.H.ORCID 0000-0002-2597-8422ISNI 0000000419499980

Editors

Advisors

Supervisors

Document Type

Article
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License

cc_by

Abstract

Hydropower is a crucial renewable source that depends heavily on water availability. Analyzing drought and climate change impacts on hydropower potential requires detailed data on both hydropower plant attributes (e.g. plant type and head) and reservoir characteristics (e.g. area, depth and volume). However, existing open-source datasets are poorly integrated: hydropower plant datasets often lack reservoir information, while reservoir datasets commonly miss hydropower plant information. This paper addresses this gap by introducing GloHydroRes, a global dataset that combines existing open-source hydropower plant and reservoir datasets. GloHydroRes includes attributes like plant location, head, plant type as well as reservoir details such as dam and reservoir location, dam height, reservoir depth, area, and volume for 7,775 plants in 128 countries. GloHydroRes covers nearly 79% and 81% of the global installed capacity when compared with installed hydropower data as reported by the EIA(2022) and IRENA (2023), respectively. The open-source GloHydroRes dataset provides crucial data to improve hydropower generation modelling at plant level and can support energy security and planning at continent to global scale.

Keywords

Statistics and Probability, Information Systems, Education, Computer Science Applications, Statistics, Probability and Uncertainty, Library and Information Sciences, SDG 7 - Affordable and Clean Energy, SDG 13 - Climate Action

Citation

Shah, J, Hu, J, Edelenbosch, O & van Vliet, M 2025, 'Global dataset combining open-source hydropower plant and reservoir data', Scientific data, vol. 12, no. 1, 646. https://doi.org/10.1038/s41597-025-04975-0