Open AccessMethod for the generation of stochastic wind fields fitted to measurement data in real-time
Author(s) -
Philipp Thomas,
Tom Szyslo
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1618/6/062043
Subject(s) - turbine , wind power , wind speed , time domain , excitation , lidar , scale (ratio) , wind engineering , field (mathematics) , computer science , environmental science , meteorology , remote sensing , marine engineering , physics , engineering , aerospace engineering , geology , electrical engineering , mathematics , quantum mechanics , pure mathematics , computer vision
The excitation of the wind turbine by the wind represents one of the main sources of excitation for the components of the wind turbine. The resulting structural loads can be measured relatively easily. The measurement of wind excitation, however, is much more complex. Even with the latest measuring equipment, such as LiDAR, the spatially and temporally high-resolution wind measurement required for the validation of the load measurement in the time domain can only be realized with a disproportionately high financial outlay and is thus unsuitable for large-scale application in the field. The method presented here shall be able to generate a realistic spatial wind excitation by means of the measured wind information present at each wind turbine, thus enabling model and load validation in the time domain. Furthermore, the method is fast enough to calculate the wind excitation in real time, allowing for application in Hardware-in-Loop or as part of a digital twin of the wind turbine.