Dresden 2014 – scientific programme
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DY: Fachverband Dynamik und Statistische Physik
DY 10: Nonlinear Stochastic Systems
DY 10.11: Talk
Tuesday, April 1, 2014, 12:15–12:30, ZEU 160
Stochastic modelling of wind turbines' athmospheric interactions assuming a diffusion process — •Benjamin Wahl1,2, Matthias Wächter2, Ulrike Feudel1, and Joachim Peinke2 — 1Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, Germany — 2ForWind and Institute of Physics, University of Oldenburg, Germany
The Langevin analysis has been successfully applied on single wind turbines to model the conversion from wind speed to power output with respect to the underlying turbulent dynamics. This motivates us to investigate the dynamical relationship of these quantities when they mix up from two different turbines. Therefor, we have to consider additional degrees of freedom naturally arising by the fact that the quantities of interest are measured spatially different. On the one hand the wind direction is changing over time and on the other hand the time delay of wind which is traveling from turbine to turbine is distorted due to turbulence. The split of the dynamics into a deterministic and a stochastic part should reveal a relaxation process, which we assume to exist, for instance, between two power outputs.