An Kangxin, Cai Wenjia, Lu Xi, Wang Can
State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing, 100084, China.
Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, China.
Sci Data. 2025 Jan 14;12(1):69. doi: 10.1038/s41597-025-04428-8.
Assessing the dynamics of offshore wind potential and costs is essential for low-carbon energy policy decision-making and energy modeling, but no open-source, spatial explicit and technologically detailed dataset is available. This study addresses this gap by employing a consistent assessment framework that integrates GIS analysis, a wind reanalysis model, a component-based cost model and scenario analysis. It identifies suitable space for offshore wind deployment considering 12 technical and policy constraints, estimates hourly output curves, capacity factors, and technology cost dynamics by components across 5058 grid points with a 10 km resolution from 2020 to 2035 under three technical change scenarios. The dataset has been validated through comparisons with existing offshore wind projects and datasets, and is stored in two formats (GeoTIFF and NetCDF4). This dataset offers extensive potential for use as an input in climate policy and energy system research.
评估海上风电潜力和成本的动态变化对于低碳能源政策决策和能源建模至关重要，但目前尚无开源、空间明确且技术细节丰富的数据集。本研究通过采用一个一致的评估框架来填补这一空白，该框架整合了地理信息系统（GIS）分析、风再分析模型、基于组件的成本模型和情景分析。它在考虑12个技术和政策约束条件的情况下，确定了适合海上风电部署的空间，估计了2020年至2035年在三种技术变化情景下，5058个分辨率为10公里的网格点上各组件的每小时输出曲线、容量因子和技术成本动态变化。该数据集已通过与现有海上风电项目和数据集进行比较得到验证，并以两种格式（GeoTIFF和NetCDF4）存储。此数据集作为气候政策和能源系统研究的输入具有广泛的应用潜力。
