Shah Jignesh, Hu Jing, Edelenbosch Oreane Y, van Vliet Michelle T H
Department of Physical Geography, Utrecht University, PO Box 80.115, 3508, TC, Utrecht, the Netherlands.
Copernicus Institute of Sustainable Development, Utrecht University, PO Box 80.115, 3508, TC, Utrecht, the Netherlands.
Sci Data. 2025 Apr 17;12(1):646. doi: 10.1038/s41597-025-04975-0.
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.
水电是一种至关重要的可再生能源，其严重依赖于水资源的可获取性。分析干旱和气候变化对水电潜力的影响需要有关水电厂属性（例如电厂类型和水头）和水库特征（例如面积、深度和库容）的详细数据。然而，现有的开源数据集整合程度很低：水电厂数据集往往缺少水库信息，而水库数据集通常缺少水电厂信息。本文通过引入GloHydroRes来填补这一空白，GloHydroRes是一个整合了现有开源水电厂和水库数据集的全球数据集。GloHydroRes包含了128个国家7775座电厂的电厂位置、水头、电厂类型等属性，以及大坝和水库位置、坝高、水库深度、面积和库容等水库详细信息。与美国能源信息署（2022年）和国际可再生能源机构（2023年）报告的已安装水电数据相比，GloHydroRes分别涵盖了全球近79%和81%的装机容量。开源的GloHydroRes数据集提供了关键数据，以改进电厂层面的水电发电建模，并可支持从大陆到全球范围的能源安全和规划。
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