Abstract
Wind energy converters such as wind turbines permanently work in the atmospheric boundary layer. For the modelling of the dynamics and for the optimisation of design and material of wind turbines synthetic models for atmospheric turbulence are applied already for a long time. The main purpose of these models is to provide fast and efficient methods for numerical simulation of random fields, that show some characteristic features of atmospheric turbulence. Typically they only have a partial connection to the fundamental equations of fluid dynamics. After a short overview summarizing widespread models by Veers and Mann, that are based on the simulation of random fields in the Fourier domain, advanced models for the simulation of velocity fields are discussed.
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References
Bierbooms, W.: Simulation of stochastic wind fields which encompass measured wind speed series – enabling time domain comparison of simulated and measured wind turbine loads. In: European Wind Energy Conference Proceedings (2004)
Frehlich, R., et al.: Simulation of three-dimensional turbulent velocity fields. Journal of Applied Meteorology 40, 246–258 (2001)
Fung, J.C.H., et al.: Kinematic simulation of homogeneous turbulence by unsteady random fourier modes. Journal of Fluid Mechanics 236, 281–318 (1992)
Gontier, H., et al.: A comparison of fatigue loads of wind turbine resulting from a non-Gaussian turbulence model vs. standard ones. Journal of Physics: Conference Series 75, 012070 (2007)
Gurley, K.R., et al.: Analysis and simulation tools for wind engineering. Probabilistic Engineering Mechanics 12, 9–31 (1997)
Kitagawa, T., Nomura, T.: A wavelet based method to generate artificial wind fluctuation data. Journal of Wind Engineering and Industrial Aerodynamics 9, 943–964 (2003)
Kleinhans, D., et al.: Simulation of intermittent wind fields: A new approach. In: Proceedings of DEWEK 2006 (2006)
Mann, J.: Wind field simulation. Probab. Eng. Mech. 13(4), 269–282 (1998)
Monin, A., Yaglom, A.: Statistical fluid mechanic: Mechanics of turbulence, vol. 2. MIT Press, Cambridge (1975)
Nawroth, A., Peinke, J.: Multiscale reconstruction of time series (2006)
Nielsen, M., et al.: Wind simulation for extreme and fatigue loads. Technical report, Risø National Laboratory, Roskilde, Denmark (2004)
Nielsen, M., et al.: Simulation of inhomogenous, non-stationary and non-Gaussian turbulent fields. Journal of Physics: Conference Series 75, 012060 (2007)
Schmiegel, J., et al.: Stochastic energy-cascade model for (1 + 1)-dimensional fully developed turbulence. Physics Letters A 320, 247–253 (2005)
Veers, P.S.: Modeling stochastic wind loads on vertical axis wind turbines. Technical report, Sandia National Labs., Albuquerque, USA (1984)
Veers, P.S.: Three dimensional wind field simulation. Technical report, Sandia National Labs., Albuquerque, USA (1988)
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Kleinhans, D., Friedrich, R., Schaffarczyk, A.P., Peinke, J. (2009). Synthetic Turbulence Models for Wind Turbine Applications. In: Peinke, J., Oberlack, M., Talamelli, A. (eds) Progress in Turbulence III. Springer Proceedings in Physics, vol 131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02225-8_26
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DOI: https://doi.org/10.1007/978-3-642-02225-8_26
Publisher Name: Springer, Berlin, Heidelberg
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