Regensburg 2016 – scientific programme
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DY: Fachverband Dynamik und Statistische Physik
DY 32: Poster - Turbulence
DY 32.1: Poster
Tuesday, March 8, 2016, 18:15–21:00, Poster C
Advanced stochastic methods for description of wind gusts — •Christian Behnken1,2, Ali Hadjihosseini1,2, Matthias Wächter1,2, and Joachim Peinke1,2 — 1ForWind — 2Institute of Physics, Carl von Ossietzky University of Oldenburg, 26111 Oldenburg, Germany
Since the share of wind energy in the global energy production is increasing, there is a demand for methods able to capture short time dynamics of wind speeds, which are of great importance for load situations and energy conversion of wind turbines. Firstly, a stochastic analysis of measured wind speed increments has been performed, showing pronouncedly heavy-tailed distributions of wind speed increments for different time scales. Secondly, setting up a coupled system of Langevin equations for these increments, we can estimate drift and diffusion coefficients directly from data which allow for a quantification of the dynamics of increments along the wind profile. Furthermore a stochastic method based on multi-point statistics of increments, joint probabilities and the Markov property is introduced as a tool to reconstruct and model time series of complex systems containing extreme events for a range of scales. It has been shown that the underlying stochastic processes of such time series are governed by a Fokker-Planck-Equation which enables one to statistically capture extreme events accurately. Particularly because there is still no widely accepted definition of wind gusts this might turn out as a promising approach not only for grasping wind gusts, but as well for forecasting of such.