An analytical framework for assessing wind farm siting suitability in China under future climate scenarios

环境科学 中国 气候变化 环境资源管理 环境规划 环境保护 水资源管理 风力发电 环境工程 适宜性分析 环境影响评价 情景分析
作者
Tianqi Tang,Yushi Liang,Mulan Zhang,Zihao Yang,Zeyu Zhang,Chuan Jin,Xiaodong Ji
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:419: 131154-131154
标识
DOI:10.1016/j.jenvman.2026.131154
摘要

Climate change may alter the magnitude and distribution of wind energy resources, with important implications for long-term wind farm siting. However, variations in siting suitability and development priorities under future climate scenarios remain insufficiently understood. Using daily projections of wind speed, air temperature and surface pressure for 2026–2100 from the East Asia domain of the Coordinated Regional Climate Downscaling Experiment (CORDEX-EA), this study applies a nonparametric copula model to estimate wind power density under Representative Concentration Pathways (RCPs) 2.6 and 8.5. A multi-criteria evaluation system based on the analytic hierarchy process (AHP) and geographic information system (GIS) integrates climate resources, natural constraints, socio-economic factors and infrastructure to assess spatial patterns of siting suitability. The results reveal that mean wind power density decreases from 174.56 W/m 2 under RCP2.6 to 150.83 W/m 2 under RCP8.5, with declines across approximately 93% of the study area. The potentially developable area is 3.964 million km 2 , concentrated in northern and central-western China. Wind farm siting suitability is higher in the north than in the south and more favourable in the west than in the east. Although the proportions of low-, medium- and high-suitability areas change little between scenarios, the maximum index declines from 0.93 under RCP2.6 to 0.74 under RCP8.5. Only 1.95% of the study area experiences class transitions, with downgraded areas 2.8 times as extensive as upgraded areas. Overlaying the two suitability results classifies the study area into four spatial planning zones according to development priority and scenario stability, supporting differentiated long-term wind power planning.
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