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An investigation of wind power density distribution at location with low and high wind speeds using statistical model

机译：利用统计模型研究低风速和高风速位置风电密度分布

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The study represents wind characteristics and power density in the locations with different wind speed conditions. The wind speed data measured at meteorological stations were used for statistical analysis from two locations with high and low wind speeds in Lithuania. It was found that many of the probability density functions of calculation methods allows you to get a fairly reliable results. However, depending on the geographical situation of the area, the height and other factors affect the wind power density indicates that some of the methods are not acceptable. The Weibull shape k and scale c parameters were calculated by using four methods and after the wind characteristics and power density were estimated. Also, the wind parameters extrapolation with the height was carried out. The mean square error, coefficient of determination, chi-square test and relative error were calculated for validation of goodness fit of Weibull parameters. The empirical model was developed for evaluation of monthly mean wind power density based on the measured wind speeds. The proposed simulation model for assessing the wind energy density could be successfully used for the finding the suitable sites for the development of wind energy in the selected locations.
机译：该研究代表了具有不同风速条件的地区的风特征和功率密度。气象站测得的风速数据用于立陶宛两个风速较高和较低位置的统计分析。发现许多计算方法的概率密度函数使您可以获得相当可靠的结果。但是，取决于该地区的地理环境，高度和其他影响风能密度的因素表明某些方法是不可接受的。使用四种方法计算了威布尔形状k和尺度c参数，然后估算了风的特性和功率密度。此外，还进行了随高度变化的风参数推断。计算均方误差，确定系数，卡方检验和相对误差，以验证威布尔参数的优劣拟合。开发了经验模型，用于基于测得的风速评估月平均风能密度。所提出的用于评估风能密度的仿真模型可以成功地用于在所选位置找到合适的风能开发地点。

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