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Evaluating wind energy potential in Gorgan–Iran using two methods of Weibull distribution function

机译：使用两种威布尔分布函数方法评估Gorgan–Iran中的风能潜力

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In this study, wind energy characteristics of the, a city in northeast of Iran, measured at 10m height in 2014. The Gorgan airport one hour recorded data extrapolated to 50m height. The data have been statistically analyzed hourly, daily, monthly, seasonally and annually to determine the wind power potential. Weibull distribution function has been used to determine the wind power density and then the potential energy. Standard deviation method and power density method are the methods used to calculate the scaling and shaping parameters of the Weibull distribution function. The annual mean wind power calculated by the standard deviation method and the power density method is 38.98w/m2 and 41.32w/m2, respectively. By comparing the results concluded that the power density method is a better method than the standard deviation method. In addition, Gorgan wind energy potentiality categorized into class 1. So is unsuitable to utilize large wind energy turbine. Article History : Received November 21, 2015; Received in revised form January 15, 2016; Accepted February 10, 2016; Available online How to Cite This Article : Babayani, D., Khaleghi, M., Tashakor, S., and Hashemi-Tilehnoee.,M. (2016) Evaluating wind energy potential in Gorgan–Iran using two methods of Weibull distribution function. Int. Journal of Renewable Energy Development, 5(1), 43-48. http://dx.doi.org/10.14710/ijred.5.1.43-48.
机译：在这项研究中，伊朗东北部城市的风能特征在2014年测得的高度为10m。Gorgan机场一小时记录的数据外推至50m高度。每小时，每天，每月，每月和每年对数据进行统计分析，以确定风能潜力。威布尔分布函数已用于确定风能密度，然后确定势能。标准偏差法和功率密度法是用于计算威布尔分布函数的缩放和整形参数的方法。通过标准差法和功率密度法计算出的年平均风能分别为38.98w / m2和41.32w / m2。通过比较结果得出结论，功率密度法比标准偏差法更好。另外，Gorgan的风能潜力被分类为1类。因此不适合使用大型风能涡轮机。文章历史：2015年11月21日收到;于2016年1月15日收到修订版; 2016年2月10日接受;在线提供如何引用本文：Babayani，D.，Khaleghi，M.，Tashakor，S.和Hashemi-Tilehnoee。，M。 （2016）使用两种威布尔分布函数方法评估格根–伊朗的风能潜力。诠释Journal of Renewable Energy Development，5（1），43-48。 http://dx.doi.org/10.14710/ijred.5.1.43-48。

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