Regensburg 2013 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 33: Poster II

DY 33.33: Poster

Donnerstag, 14. März 2013, 17:00–19:00, Poster C

Stochastic POD applied to the Wake of a Wind Turbine — •David Bastine, Matthias Wächter, and Joachim Peinke — ForWind, Institute of Physics, University of Oldenburg, Germany

Since wind turbines operating in the wake of other turbines experience a strongly altered inflow, a good understanding of the wake is crucial for the planing and optimization of large wind farms. In this work the proper orthogonal decomposition (POD) is combined with a Langevin-analysis approach to yield a low order description of spatio-temporal data. The method is applied to large eddy simulation data of a wind turbine wake. In the case of analyzing the data in a plane perpendicular to the mean flow the POD yields clearly structured eigenmodes similar to Fourier modes in the azimuthal direction. The temporal evolution of the modes can be described by time dependent coefficients given by the projection of the velocity field on the eigenmodes. We interpret these coefficients as random variables whose statistics can be modeled by Langevin equations and try to estimate the corresponding drift and diffusion coefficients.