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Real-time three-dimensional wind simulation for windmill rig tests

机译:实时三维风仿真用于风车装备测试

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This paper deals with the methods of three-dimensional fixed-point wind speed real-time simulation modelled in large band, in order to use them in test rigs for experimental investigation of the wind energy conversion systems. The medium- and long-term components of the non-stationary wind speed are considered as known, being issued from measured data or by adopting a generic model. The spectral characteristics of three-dimensional turbulence are described either by the Kaimal or the von Karman models. The turbulence intensity and the length scale that take part in these models are calculated by the site parameters, using current standards. The basic idea of the methods for large-band three-dimensional wind simulation is to use rational shaping filters that approximate non-integer orders shaping filters issued from the Kaimal and the von Karman models. All the synthesized rational shaping filters use one time constant, automatically adapted to the medium- and long-term components that pilot the other time constants of the shaping filters by a set of parameters practically constant. Some numerical results concerning time series that simulate the non-stationary wind speed with three-dimensional turbulence components based on Kaimal and von Karman models are presented.
机译:本文研究了在大型频带中建模的三维定点风速实时仿真方法,以便将其用于测试设备中以进行风能转换系统的实验研究。非静态风速的中长期分量被认为是已知的,它是从实测数据发布或采用通用模型发布的。三维湍流的光谱特征通过Kaimal模型或von Karman模型进行描述。这些模型中的湍流强度和长度尺度是使用当前标准通过站点参数计算的。大型三维风模拟方法的基本思想是使用有理整形滤波器,该整形滤波器逼近从Kaimal模型和von Karman模型发出的非整数阶整形滤波器。所有合成的有理整形滤波器都使用一个时间常数,该常数自动适应中,长期分量,这些分量通过一组实际恒定的参数来控制整形滤波器的其他时间常数。提出了一些有关时间序列的数值结果,这些时间序列基于Kaimal和von Karman模型模拟了具有三维湍流分量的非平稳风速。

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