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首页> 外文期刊>Journal of Thermal Engineering >Statistical Analysis of Wind Speed Distribution with Sinop-Turkey Application
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Statistical Analysis of Wind Speed Distribution with Sinop-Turkey Application

机译:应用Sinop-Turkey进行风速分布统计分析

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In this study, the wind energy potential of the Sinop region was analyzed statistically by using the TurkishState Meteorological Station’s hourly wind speed data between the years of 2005 2014. The two parameter Weibulland one parameter Rayleigh probabi lity distribution functions were used to determine the wind energy potential ofthe region. The probability distribution functions were derived from the cumulative function and used to calculate themean wind speed and the variance of the actual data. The best way of representing the performance of the Weibulland Rayleigh distributions is to use the statistical parameters such as the correlation coefficient (R 2 ), chi square (χ 2 )and the root mean square error analysis (RMSE). The results of the study show ed that Sinop has a mean wind speedof 3.36 m/s with a maximum value of 4.28 m/s in February of 2011, and a minimum value of 2.41 m/s in March of2013, while the corresponding mean wind power density is approximately 33.31 W/m 2 for the whole year. In gener al,it was determined the wind speed is higher during some winter and spring months, notably February and March, andis lower during the autumn months. The Weibull distribution function was found to be more appropriate than theRayleigh distribution functi on.
机译:在这项研究中,利用土耳其国家气象台2005年至2014年之间的每小时风速数据对锡诺普地区的风能潜力进行了统计分析。使用两个参数Weibulland一个参数Rayleigh概率分布函数确定风能该地区的潜力。概率分布函数是从累积函数得出的,用于计算风速和实际数据的方差。表示威布尔兰瑞利分布性能的最好方法是使用统计参数,例如相关系数(R 2),卡方(χ2)和均方根误差分析(RMSE)。研究结果表明,Sinop的平均风速为3.36 m / s,2011年2月的最大值为4.28 m / s,2013年3月的最小值为2.41 m / s,而相应的平均风速为全年的功率密度约为33.31 W / m 2。通常,确定在某些冬季和春季,尤其是2月和3月,风速较高,而在秋季,则较低。发现威布尔分布函数比瑞利分布函数更合适。

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