Dresden 2014 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 3: Statistical Physics far from Thermal Equilibrium - Part I
DY 3.7: Vortrag
Montag, 31. März 2014, 11:15–11:30, ZEU 160
Uncovering wind turbine properties through two-dimensional stochastic modeling of wind dynamics — Frank Raischel1, Teresa Scholz2,3, Vitor V. Lopes4, and •Pedro G. Lind5 — 1Instituto Dom Luiz, CGUL, 1749-016 University of Lisbon, Lisbon, Portugal — 2Center for Theoretical and Computational Physics, University of Lisbon, Av. Prof. Gama Pinto 2, 1649-003 Lisbon, Portugal — 3Departamento de Física, Faculdade de Ciências da Universidade de Lisboa, 1649-003 Lisboa, Portugal — 4Energy Systems Modeling and Optimization Unit, National Laboratory for Energy and Geology (LNEG), Estrada do Paço do Lumiar 22, 1649-038 Lisbon, Portugal — 5ForWind and Institute of Physics, Carl-von-Ossietzky University of Oldenburg, DE-26111 Oldenburg, Germany
Using a method for stochastic data analysis, borrowed from statistical physics, we analyze synthetic data from a Markov chain model that reproduces measurements of wind speed and power production in a wind park in Portugal. We first show that our analysis retrieves indeed the power performance curve, which yields the relationship between wind speed and power production and we discuss how this procedure can be extended for extracting unknown functional relationships between pairs of physical variables in general. Second, we show how specific features, such as the rated speed of the wind turbine or the descriptive wind speed statistics, can be related with the equations describing the evolution of power production and wind speed at single wind turbines.