Bracken Cameron, Son Youngjun, Broman Daniel, Voisin Nathalie
Pacific Northwest National Laboratory, Richland, Washington, USA.
Civil and Environmental Engineering Department, University of Washington Seattle, WA, USA.
Sci Data. 2025 May 28;12(1):875. doi: 10.1038/s41597-025-05097-3.
Hydropower is a critical electricity resource in the United States which, in addition to low-cost electricity generation, provides valuable ancillary grid services, and supports the integration of nondispatchable weather-dependent resources (e.g., wind and solar). Despite its value to the grid, there are very few comprehensive datasets available from which to study both historical and future impacts of climate, weather driven energy droughts, and integration of other weather driven generation. In this paper, we present a hydropower generation dataset covering 1,452 hydroelectric plants in the contiguous U.S. The dataset contains monthly and weekly hydropower generation estimates for both historical (1982-2019) and future (2020-2099) periods which includes 4 future climate scenarios. In addition, this dataset provides weekly and monthly constraints such as minimum and maximum power which are particularly useful in power system models which are used to study grid reliability, transmission planning and capacity expansion.
水电是美国至关重要的电力资源，除了能以低成本发电外，还能提供宝贵的电网辅助服务，并支持不可调度的依赖天气的资源（如风能和太阳能）的整合。尽管其对电网具有重要价值，但可用于研究气候、天气引发的能源干旱的历史和未来影响以及其他依赖天气的发电方式整合的综合数据集却非常少。在本文中，我们展示了一个涵盖美国本土1452座水电站的发电量数据集。该数据集包含历史时期（1982 - 2019年）和未来时期（2020 - 2099年）的月度和周度水电发电量估算值，其中未来时期包括4种未来气候情景。此外，该数据集还提供了每周和每月的限制条件，如最小和最大功率，这在用于研究电网可靠性、输电规划和容量扩展的电力系统模型中特别有用。
