乌峭岭地区风速数据分析及风能密度计算

A Statistical Analysis of Wind Power Density Based on the Weibull and Rayleigh Models at the Region of Wushaoling in China

本文通过分析认为解决我国能源短缺问题的出路在于大量使用可再生能源—风能或太阳能。多年的气象资料显示我国甘肃省内的乌峭岭地区的风力资源相当丰富。基于对该地区近15年的日平均风速的统计分析,计算了各月的风能密度,说明该地区是未来风场建设的理想地区。另外,基于实测数据计算出了两种风速分布密度函数的特征参数,用两种分布密度函数—Weibull和Rayleigh函数预测了各月的风能密度,并与实测值进行了对比及相关性分析,结果说明Weibull函数比Rayleigh函数更准确。

The energy crisis of China can be solved by resort to renewable energy resources, such us wind and solar. Many years of meteorological information shows that the Wushaoling region located in Gansu province in China has considerable wind power. In the present study, the wind energy potential of the region is statistically analyzed based on 15- years measured daily time-- series wind speed data. The probability density distributions are derived from time-series data and distributional parameters are identified. Two probability density functions are fitted to the measured probability distributions on a monthly, basis. The wind energy potential of the location is studied based on the Weibull and Rayleigh models and the results are compared to the measured distributions to study their suitability, which indicates the Weibull model fits well to the measured probability density distributions.