International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP) (12th : 2015)

Reducing wind turbine load simulation uncertainties by means of a constrained Gaussian turbulence field Dimitrov, Nikolay; Lazarov, Boyan


We demonstrate a method for incorporating wind measurements from multiple-point scanning lidars into the turbulence fields serving as input to wind turbine load simulations. The measurement values are included in the analysis by applying constraints to randomly generated turbulence fields. A numerical study shows the application of the constrained turbulence method to load simulations on a 10MW wind turbine model, using two example lidar patterns – a 5-point pattern forming a square with a central point, and a circular one. Based on the results of this study, we assess the influence of applying the proposed method on the statistical uncertainty in wind turbine extreme and fatigue loads.

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