欧洲气象数据集适用于电力建模应用
Herbert Formayer1, Imran Nadeem2,3, David Leidinger2
1Institute of Meteorology and Climatology, University of Natural Resources and Life Sciences, Vienna, Austria. herbert.formayer@boku.ac.at.
Scientific data
|September 7, 2023
概括
我们开发了SECURES-Met,这是每小时一次的欧洲气候数据集,用于电力建模. 它平衡了高时间和空间分辨率与可管理的数据大小,这对于相互连接的市场和气候变化预测至关重要.
科学领域:
- 气象学 天气学
- 气候科学 气候科学
- 能源系统分析 能源系统分析
背景情况:
- 电力生产和需求建模需要精确的,高频的气象数据.
- 欧洲的电力市场是相互连接的,需要泛欧洲而不是国家特定的建模.
- 准确的热状况表示需要高空间分辨率,特别是在山地.
研究的目的:
- 开发一个全面的欧洲气候数据集用于电力建模.
- 为了应对高时间和空间分辨率数据要求的挑战.
- 创建一个适合历史分析和未来气候变化预测的数据集.
主要方法:
- 将欧洲范围内的气候数据汇总成一个单一的数据集.
- 确保每小时的时间分辨率,以满足电力建模需求.
- 纳入高度的空间变化,特别是在山区.
主要成果:
- 在整个欧盟和选定的欧洲国家,SECURES-Met数据集提供每小时的解决方案.
- 它提供了合理的数据大小,同时考虑到显著的空间变化.
- 数据集被优化为电力生产和需求建模.
结论:
- SECURES-Met有效地满足了欧洲电力建模的复杂数据需求.
- 该数据集在当前和未来的气候场景下促进了更准确的能源系统分析.
- 它代表了能源部门气候数据可用性的重大进步.
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