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Statistical analysis of wind speed using two-parameter Weibull distribution in Alacati region

机译：基于两参数威布尔分布的阿拉卡提地区风速统计分析

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摘要

Weibull Statistical Distribution is a common method for analyzing wind speed measurements and determining wind energy potential. Weibull probability density function can be used to forecast wind speed, wind density and wind energy potential. In this study a two-parameter Weibull statistical distribution is used to analyze the wind characteristics of Alacati region, located in Cesme, Izmir. The data used in the density function are acquired from a wind measurement station in Algal. Measurements were gathered on three different heights respectively 70, 50 and 30 m between 10 min intervals for five and half years. As a result of this study; wind speed frequency distribution, wind direction trends, mean wind speed, and the shape and the scale (k&c) Weibull parameters have been calculated for the region. Mean wind speed for the entirety of the data set is found to be 8.11 m/s. k&c parameters are found as 2.05 and 9.16 in relative order. Wind direction analysis along with a wind rose graph for the region is also provided with the study. Analysis suggests that higher wind speeds which range from 6-12 m/s are prevalent between the sectors 340-360 degrees. Lower wind speeds, from 3 to 6 m/s occur between sectors 10-29 degrees. Results of this study contribute to the general knowledge about the regions wind energy potential and can be used as a source for investors and academics. (C) 2016 Elsevier Ltd. All rights reserved.
机译：威布尔统计分布是分析风速测量和确定风能潜力的常用方法。威布尔概率密度函数可用于预测风速，风密度和风能势。在这项研究中，使用两参数威布尔统计分布来分析位于伊兹密尔切什梅的阿拉卡提地区的风特征。从Algal的测风站获取密度函数中使用的数据。在五年和半年的10分钟间隔内分别在70、50和30 m的三个不同高度上收集了测量值。这项研究的结果；计算出该区域的风速频率分布，风向趋势，平均风速以及形状和比例（k＆c）Weibull参数。整个数据集的平均风速为8.11 m / s。 k＆c参数的相对顺序为2.05和9.16。该研究还提供了该地区的风向分析以及风向图。分析表明，在340-360度之间普遍存在6-12 m / s的较高风速。在10-29度之间，风速为3至6 m / s。这项研究的结果有助于了解该地区的风能潜力，并且可以用作投资者和学者的资源。 （C）2016 Elsevier Ltd.保留所有权利。

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