Reducing Wind Turbine Load Simulation Uncertainties by Means of a Constrained Gaussian Turbulence Field

Nikolay Krasimirov Dimitrov, Boyan Stefanov Lazarov

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Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12)
EditorsTerje Haukaas
Number of pages8
PublisherThe University of British Columbia
Publication date2015
Publication statusPublished - 2015
Event12th International Conference on Applications of Statistics and Probability in Civil Engineering - Vancouver, Canada
Duration: 12 Jul 201515 Jul 2015
Conference number: 12

Conference

Conference12th International Conference on Applications of Statistics and Probability in Civil Engineering
Number12
CountryCanada
CityVancouver
Period12/07/201515/07/2015

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