Markov method for simulating non-Gaussian wind speed time series
Markov method for simulating non-Gaussian wind speed time series
复制标题
模拟非高斯风速时间序列的马尔可夫方法
DOI：
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发表时间：
1985
期刊：
影响因子：
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通讯作者：
P. Veers
中科院分区：
文献类型：
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作者：
G. Mcnerney;P. Veers
本文详细介绍了一种可用于构建风模拟器的方法，该方法能够生成具有任何小时平均分布、指数衰减自相关函数和湍流高斯实现的风时间序列。该方法基于每小时平均值的马尔可夫随机游走和功率谱的每小时逆变换来产生短期湍流。第一部分讨论了马尔可夫过程，第二部分讨论了湍流发生器。下面是对开发该模型的应用程序的描述。
This paper details a method which can be used to construct a wind simulator capable of generating wind time series with any distribution of hourly averages, exponentially decaying autocorrelation function, and a Gaussian realization of the turbulence. The method is based on a Markov random walk for hourly averages and an inverse hourly transform of the power spectrum to produce short-term turbulence. The Markov process is discussed in the first section, and the turbulence generator is covered in the second section. A description of the applications for which the model was developed follows.