朱蓉, 徐红, 龚强, 孙朝阳, 常蕊. 中国风能开发利用的风环境区划[J]. 太阳能学报, 2023, 44(3): 55-66. DOI: 10.19912/j.0254-0096.tynxb.2021-1197
引用本文: 朱蓉, 徐红, 龚强, 孙朝阳, 常蕊. 中国风能开发利用的风环境区划[J]. 太阳能学报, 2023, 44(3): 55-66. DOI: 10.19912/j.0254-0096.tynxb.2021-1197
Zhu Rong, Xu Hong, Gong Qiang, Sun Chaoyang, Chang Rui. WIND ENVIRONMENTAL REGIONALIZATION FOR DEVELOPMENT AND UTILIZATION OF WIND ENERGY IN CHINA[J]. Acta Energiae Solaris Sinica, 2023, 44(3): 55-66. DOI: 10.19912/j.0254-0096.tynxb.2021-1197
Citation: Zhu Rong, Xu Hong, Gong Qiang, Sun Chaoyang, Chang Rui. WIND ENVIRONMENTAL REGIONALIZATION FOR DEVELOPMENT AND UTILIZATION OF WIND ENERGY IN CHINA[J]. Acta Energiae Solaris Sinica, 2023, 44(3): 55-66. DOI: 10.19912/j.0254-0096.tynxb.2021-1197

中国风能开发利用的风环境区划

WIND ENVIRONMENTAL REGIONALIZATION FOR DEVELOPMENT AND UTILIZATION OF WIND ENERGY IN CHINA

  • 摘要: 基于大气边界层气象和气候学理论分析以及中尺度数值模拟,采用秒级探空气象资料和典型地形激光雷达观测资料,依据风能利用高度内总体风能资源开发潜力,划分出9个风环境区。年平均风能环境指数最高的风环境区是北方通风廊道,其次是东北平原,最低的是青藏高原下游地区。发现在稳定大气条件下,风能利用高度内的平均风速垂直变化呈两层分布形态,下层平均风速随高度的增速比上层大2~5倍。下层风速的垂直变化取决于地表特征,上层则受上游大地形造成的局地环流影响,由此形成不同风环境区风能资源特性的差异。最后给出构建不同地形条件下平均风廓线计算方法的建议。结论可为中国风能资源评估理论拓展与数值模拟、风电场选址和适用复杂地形条件的风电机组设计提供科学支撑。

     

    Abstract: Based on the theoretical analysis of atmospheric boundary layer meteorology and climatology and mesoscale numerical simulation,this paper uses radiosondes data and lidar data on typical terrain,and 9 wind environment regions are divided according to the overall wind power potential within the height of wind energy utilization. The wind environment region with the highest annual mean wind environment index is the northern ventilation channel,followed by the Northeast Plain,and the lowest is the downstream areas of the Qinghai-Tibet Plateau. It is found that the vertical variation of the mean wind speed in stable condition within the height of wind energy utilization is in a two-layer distribution pattern. The average wind speed of the lower layer increases with height by 2-5 times bigger than that of the upper layer. The vertical variation of wind speed in the lower layer depends on the surface characteristics,and the upper layer is affected by the local circulation caused by the large terrain in the upstream,therefore led to the difference of wind energy resource characteristics in different wind environment areas. Finally,suggestions for the calculation method of average wind profile under different terrain conditions are given. The conclusion can provide scientific support for the expansion of wind energy resources assessment theory and numerical simulation,the wind farm siting and the design of wind turbines suitable for complex terrain conditions in China.

     

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