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
    Country/TerritoryCanada
    CityVancouver
    Period12/07/201515/07/2015

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