Can we predict short-term extreme conditions from 10-minute data only?

    Research output: Contribution to conferenceConference abstract for conferenceResearchpeer-review


    In this study we validate a model that predicts extreme wind load conditions relevant for wind turbine design. The input parameters for the model consist of 10-minute wind data, rather than high-frequency measurements that are less available. The model generally predicts lower extreme values than prescribed in the IEC wind turbine safety standard and is therefore of great interest to wind turbine manufacturers. This is the first time this extreme model is validated and the accuracy of the model predictions is estimated.
    Original languageEnglish
    Publication date2019
    Number of pages2
    Publication statusPublished - 2019
    EventNAWEA/WINDTECH 2019 - University of Massachusetts , Amherst , United States
    Duration: 14 Oct 201916 Oct 2019


    ConferenceNAWEA/WINDTECH 2019
    LocationUniversity of Massachusetts
    Country/TerritoryUnited States
    Internet address


    • Extreme events
    • Design load cases
    • 50-year return values
    • IEC standard
    • Validation


    Dive into the research topics of 'Can we predict short-term extreme conditions from 10-minute data only?'. Together they form a unique fingerprint.

    Cite this