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

Author

Listed:
  • Diop, Amadou D.
  • Ceanga, Emil
  • Rétiveau, Jean-Louis
  • Méthot, Jean-François
  • Ilinca, Adrian

Abstract

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.

Suggested Citation

  • Diop, Amadou D. & Ceanga, Emil & Rétiveau, Jean-Louis & Méthot, Jean-François & Ilinca, Adrian, 2007. "Real-time three-dimensional wind simulation for windmill rig tests," Renewable Energy, Elsevier, vol. 32(13), pages 2268-2290.
    • Handle: RePEc:eee:renene:v:32:y:2007:i:13:p:2268-2290
    DOI: 10.1016/j.renene.2006.04.011
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    Cited by:

    1. Ciprian Vlad & Marian Barbu & Ramon Vilanova, 2016. "Intelligent Control of a Distributed Energy Generation System Based on Renewable Sources," Sustainability, MDPI, vol. 8(8), pages 1-23, August.
    2. Burlibaşa, A. & Ceangă, E., 2013. "Rotationally sampled spectrum approach for simulation of wind speed turbulence in large wind turbines," Applied Energy, Elsevier, vol. 111(C), pages 624-635.

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