利用MERRA2再分析数据驱动WRF模式,对四川凉山州地区2020年全年进行风资源模拟分析,并用凉山州地区典型测风塔数据对模拟结果进行检验,并进行详细地风资源分析,再根据风电场开发8%基准内部收益率反推可开发风能资源的区域分布。结果表明：凉山州大部分地区100 m高度年平均风速在5 m/s以上,风速极大值一般位于山脊,凉山州风能最好的区域主要集中在会东县和宁南县。凉山州典型区域内均表现出受西南季风影响的特征,即冬、春季节风大,夏、秋季节风小,主风向呈强西南风状态,且风功率密度变化规律与风速的变化规律基本一致。凉山州山地区域可开发风能资源的平均风功率密度临界值为258 W/m2,这些区域主要集中在会理、会东、宁南、布拖、木里和盐源县境内。可开发区域分布图对指导凉山州地区风能开发提供科学参考。
Abstract
In this paper, the WRF model driven by MERRA2 reanalysis data was used to simulate and analyze the wind resources in Liangshan Prefecture, Sichuan Province in 2020, and the simulation results were tested with the data of typical wind measuring towers in Liangshan Prefecture. Then, the regional distribution of exploitable wind energy resources were deduced backward based on the 8% benchmark revenue return of wind farm development. The results show that the annual average wind speed is above 5 m/s at 100 m height in most areas of Liangshan, and the maximum wind speed area is generally located in the ridge. The best wind energy areas in Liangshan are mainly located in Huidong County and Ningnan County. Typical regions in Liangshan Prefecture are affected by the southwest monsoon, that is, the wind is strong in winter and spring, but weak in summer and autumn. The main wind direction presents a strong southwest wind state, and the change law of wind power density is basically consistent with the change of wind speed. The critical value of the average wind power density of exploitable wind energy resources in mountainous areas of Liangshan Prefecture is 258 W/m2, and these areas are mainly concentrated in Huili, Huidong, Ningnan, Butuo, Muli and Yanyuan County. The distribution map of exploitable area provides scientific reference for guiding the development of wind energy in Liangshan Prefecture.
关键词
风速 /
风功率密度 /
内部收益率 /
WRF模式 /
凉山州
Key words
wind speed /
wind power density /
internal rate of return /
WRF model /
Liangshan Prefecture
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基金
高原与盆地暴雨旱涝灾害四川省重点实验室青年专项（SCQXKJQN202219）; 四川省气象服务中心创新发展专项（FWCX202301）; 四川气象服务中心创新团队（CXTD202303）
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