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基于三个气象模型的美国风电厂每小时风速和模拟发电数据库
Dev Millstein1, Seongeun Jeong2, Amos Ancell2
1Energy Analysis and Environmental Impacts Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. dmillstein@lbl.gov.
Scientific data
|December 8, 2023
概括
美国工厂级多模型风力和发电 (PLUSWIND) 存储库为2018-2021年美国风力发电厂提供每小时风速和发电数据. 这个资源有助于理解风能.
科学领域:
- 可再生能源系统可再生能源系统
- 大气科学 大气科学
- 数据科学数据科学数据科学
背景情况:
- 风能是美国电力组合中日益增长的组成部分 (2022年~10%).
- 准确的风速数据对于风能规划和运营至关重要.
- 现有的风速数据来源往往受到成本,可访问性和公众共享的限制.
研究的目的:
- 引入工厂级美国多模型风和发电 (PLUSWIND) 数据库.
- 为美国的风力发电厂提供可访问的,高分辨率的风速和预估发电数据.
- 促进风能变化和气象模型性能研究.
主要方法:
- 使用了三个不同的气象模型:ERA5,MERRA2和HRRR.
- 每小时生成的风速和估计的发电数据.
- 从2018年到2021年,收集了美国连续地区几乎所有风力发电厂的数据.
- 在CSV格式上公开提供数据.
主要成果:
- PLUSWIND为美国风力发电厂提供全面的每小时风力和发电数据.
- 该存储库包括来自ERA5,MERRA2和HRRR模型的数据.
- 与区域和工厂级记录的比较揭示了特定模型的偏见和错误.
结论:
- PLUSWIND解决了对可访问的风能数据的需求.
- 该存储库能够对风力发电模式和气象模型准确性的详细分析.
- 了解模型偏差对于可靠的风能预测和整合至关重要.
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