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Wind power potential assessment for seven buoys data collection stations in Aegean Sea using Weibull distribution function

机译:利用威布尔分布函数评估爱琴海7个浮标数据采集站的风电潜力

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摘要

This paper utilizes three hourly measured values of wind speed and direction fromseven buoys data collection stations in Aegean Sea to study the wind speed andpower characteristics applying the Weibull shape and scale parameters.Specifically, the site dependent, annual and monthly mean patterns of mean windspeed, Weibull parameters, frequency distribution, most probable wind speed,maximum energy carrying wind speed, wind power density and wind energydensity characteristics have been studied. The Weibull distribution was found torepresent the wind speed distribution with more than 90% accuracy in most of thecases. Slightly decreasing trends were observed in annual mean wind speed valuesat Lesvos and increasing at Mykonos. The mean values of wind speed, scaleparameter, most probable wind speed, maximum energy carrying wind speed, windpower and wind energy density values showed higher values during winter timeand lower in summer time. Mykonos was found to be the best site from windpower harnessing point of view. Moreover, the correlation between the percentagesof times the wind speed was above cut-in-speed and the measured mean windspeed for the three selected sites and the correlation between the aforementionedpercentages and the scale parameter c were examined and were found linear.
机译:本文利用爱琴海七个浮标数据采集站的三个小时风速和风向测量值,利用Weibull形状和尺度参数研究风速和功率特性,具体而言,取决于地点,平均风速的年和月平均模式,研究了威布尔参数,频率分布,最有可能的风速,最大能量携带风速,风功率密度和风能密度特性。在大多数情况下,Weibull分布表示风速分布的准确性超过90%。在莱斯沃斯,年平均风速值出现了小幅下降的趋势,而在米科诺斯岛,则有所上升。风速平均值,比例参数,最可能风速,最大携带能量风速,风力和风能密度值在冬季时较高,而夏季时较低。从风力发电的角度来看,米科诺斯岛被认为是最佳地点。此外,检查了三个选定地点的风速百分比高于切入速度的百分比与测得的平均风速之间的相关性,并对上述百分比与比例参数c的相关性进行了检验,发现它们之间呈线性关系。

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