Predicting the Extreme Loads on a Wind Turbine Considering Uncertainty in Airfoil Data

Imad Abdallah, Anand Natarajan, John Dalsgaard Sørensen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    The sources contributing to uncertainty in a wind turbine blade static airfoil data include wind tunnel testing, CFD calculations, 3D rotational corrections based on CFD or emprircal models, surface roughness corrections, Reynolds number corrections, expansion to the full 360-degree angle of attack range, validation by full scale measurements, and geometric distortions of the blade during manufacturing and under loading. In this paper a stochastic model of the static airfoil data is proposed to supplement the prediction of extreme loads effects for large wind turbines. It is shown that the uncertainty in airfoil data can have e significant impact on the prediction of extreme loads effects depending on the component, and the correlation along the span of the blade.
    Original languageEnglish
    Title of host publicationSafety, Reliability, Risk and Life-Cycle Performance of Structures & Infrastructures : Proceedings of the 11th international conference on structural safety and reliability
    EditorsGeorge Deodatis, Bruce R. Ellingwood, Dan M. Frangopol
    PublisherCRC Press
    Publication date2014
    Pages215-222
    ISBN (Print)978-1-138-00086-5
    DOIs
    Publication statusPublished - 2014
    Event11th International Conference on Structural Safety and Reliability - New York, United States
    Duration: 16 Jun 201320 Jun 2013
    Conference number: 11

    Conference

    Conference11th International Conference on Structural Safety and Reliability
    Number11
    Country/TerritoryUnited States
    CityNew York
    Period16/06/201320/06/2013

    Keywords

    • Extreme Loads
    • Wind Turbine
    • Airfoil Data

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