Innovative Wind Turbine Selection Method using Modified WeibullProbability Function

M. Hammad, L. Batarseh
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引用次数: 4

Abstract

In this work, a three-year wind data for some sites in Jordan was analyzed. Two sites showed highly promising potential. Both predicted more than 1.0 MWh/m2.y. This work modified the probability function of Weibull – Hiester and Pennel to produce more accurate potential speed values for the wind. Results showed that this modification enhanced energy potential by 30%. The interaction of wind turbine performance data with site wind data was then discussed. The yearly output energy of different machines was the objective function for an optimization process with rating velocity (Vr) as the main variable. The resulted optimum energy was found to depend on the two variables of the Wiebull function. Optimum Vr was found to range from 4.2 to 5.6 for the sites considered. The optimum Vr can be used as a selection parameter for the best suitable turbine.
基于改进威布尔概率函数的创新风力机选择方法
在这项工作中,分析了约旦一些地点的三年风数据。有两个地点显示出非常有希望的潜力。两者都预测超过1.0 MWh/m2.y。这项工作修改了Weibull - Hiester和Pennel的概率函数,以产生更准确的风的潜在速度值。结果表明,该改性使能势提高了30%。然后讨论了风力机性能数据与现场风力数据的相互作用。以不同机器的年输出能量作为优化过程的目标函数,以额定速度(Vr)为主要变量。得到的最优能量取决于威布尔函数的两个变量。所考虑的地点的最佳Vr值介乎4.2至5.6。最优的反流系数可作为选择最适合的水轮机的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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