中国海上风电潜力和技术变革下的成本的高分辨率网格数据集
Kangxin An1, Wenjia Cai2, Xi Lu1,3
1State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing, 100084, China.
Scientific data
|January 14, 2025
概括
这项研究提供了首个开源,空间显式数据集关于海上风能潜力和成本. 它通过详细说明每小时的产量,容量因素和成本动态,使更好的低碳能源政策和能源建模成为可能.
科学领域:
- 可再生能源系统可再生能源系统
- 气候变化缓解缓解 气候变化缓解
- 空间数据分析 空间数据分析
背景情况:
- 评估海上风能潜力和成本对于低碳能源政策和建模至关重要.
- 目前,缺乏开源,空间明确和技术详细的数据集,阻碍了全面的评估.
研究的目的:
- 通过开发一种新的,一致的海上风能评估框架来解决数据缺口.
- 提供有关海上风电潜力和成本动态的详细,开源数据集.
主要方法:
- 综合地理信息系统 (GIS) 分析,风力再分析模型和基于组件的成本模型.
- 根据2020年至2035年的三个技术变化场景进行了场景分析.
- 根据12个技术和政策限制,确定了合适的海上风电部署区域.
主要成果:
- 估计的每小时输出曲线,容量因素,以及5058个电网点 (10公里分辨率) 的组件智能技术成本动态.
- 开发的数据集与现有的海上风电项目和数据集进行了验证.
- 数据以GeoTIFF和NetCDF4格式提供,以实现广泛的可访问性.
结论:
- 创建的数据集满足了气候政策和能源系统研究的关键需求.
- 这一资源将大大提高海上风电开发的能源建模和决策的准确性和范围.
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