全球数据集结合开源水电厂和水库数据的全球数据集
Jignesh Shah1, Jing Hu2,3, Oreane Y Edelenbosch2,3
1Department of Physical Geography, Utrecht University, PO Box 80.115, 3508, TC, Utrecht, the Netherlands. j.shah@uu.nl.
Scientific data
|April 17, 2025
概括
一个新的全球数据集,GloHydroRes,整合了水电厂和水库数据. 这一至关重要的资源有助于分析气候变化对可再生能源安全和规划的影响.
科学领域:
- 环境科学 环境科学
- 可再生能源系统可再生能源系统
- 气候变化研究 气候变化研究
背景情况:
- 水力发电是一个重要的可再生能源,高度依赖于水的可用性.
- 评估气候变化和干旱对水力发电的影响需要整合工厂和水库特征的数据.
- 现有的数据集是分散的,缺乏关于水力发电厂及其相关水库的全面信息.
研究的目的:
- 介绍GloHydroRes,这是一个新的全球数据集,它合并了不同的开源水电厂和水库数据.
- 解决数据整合缺口,以改善水电发电建模和能源安全分析.
- 为研究可再生能源潜力的研究人员和政策制定者提供全面的资源.
主要方法:
- 结合了现有的水电厂和水库的开源数据集.
- 综合属性数据包括工厂位置,头部,类型和水库细节 (水位置,高度,深度,面积,体积).
- 与EIA (2022) 和IRENA (2023) 的全球装机容量数据相比,验证的数据集覆盖率.
主要成果:
- 开发了GloHydroRes,这是一个全球数据集,涵盖了128个国家的7775座水电厂.
- 该数据集包括工厂和水库的详细属性.
- GloHydroRes约占全球装机水电容量的79-81%,表明其覆盖范围很大.
结论:
- GloHydroRes弥合了关键的数据差距,使工厂级水电发电模型更加准确.
- 该数据集支持在大陆和全球范围内加强能源安全和规划.
- 这种开源资源有助于研究气候变化和干旱对水电潜力的影响.
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