复杂地形下的时空风变率

R. Belu, D. Koracin
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摘要

研究了复杂地形下与风能资源相关的风速时空特征。分析使用了2003年8月至2008年3月在美国内华达州西部200公里范围内运行的一座80米和四座50米塔的数据。多年平均风速随海拔的升高没有明显的增加趋势,这种差异主要受地形复杂性的影响,包括局地环流和河道。由于风速标准差的增加相对于平均风速的增加要慢,湍流强度随着平均风速的增加而缓慢降低。风速模型采用Weibull分布,风向模型采用von Mises分布。尽管基本风速统计数据存在差异,但自相关和互相关表明风速和风向之间具有较强的一致性,且随着滞后期的增加,多日周期的幅度逐渐减小。自相关函数中日分量的非零中心线表明可能存在长期周期性。除了在所有地点都有明显的日周期性外,光谱分析还显示出显著的年周期性,并且在所有五个地点都具有相似的特征。
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Spatio-temporal wind variability in complex terrain
Spatial and temporal characteristics of the wind velocity in complex terrain, relevant to wind energy resources were investigated in this study. Data from one 80 m and four 50 m towers located within a range of 200 km in western Nevada, U.S., operated from August 2003 to March 2008 were used in the analysis. The average multi-annual wind speed did not show significant increase trends with increased elevation, the differences are mainly governed by the complexity of the topography including local circulations and channeling. Due to a slower increase of the standard deviation of the wind speed compared to the increase of the average wind speed, the turbulence intensity slowly decreased with an increase of the average wind speed. The wind speed was modeled using the Weibull distribution, while the wind direction was modeled using the von Mises distribution. In spite of differences in the basic wind speed statistics, the auto- and cross-correlations show a strong coherence between the wind speed and direction with slowly decreasing amplitude of the multi-day periodicity with increasing lag periods. A non-zero centerline of the diurnal component in the autocorrelation function indicated a possible long-term periodicity. Besides a pronounced diurnal periodicity at all locations, the spectral analysis showed significant annual periodicity with similar characteristics at all five locations.
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