Optimal yaw strategy for optimized power and load in various wake situations: Paper

Albert M. Urbán*, Torben J. Larsen, Gunner Chr. Larsen, Dominique P. Held, Ebba Dellwik, David Robert Verelst

*Corresponding author for this work

    Research output: Contribution to journalConference articleResearchpeer-review

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    Abstract

    The interaction between nearby wind turbines in a wind farm modifies the power and loads compared to their stand-alone values. The increased turbulence intensity and the modified turbulence structure at the downstream turbines creates higher fatigue loading, which can be mitigated by wind farm and/or wind turbine control. To alleviate loads and maximize power possible strategies such as wake steering, where the turbine is yawed to redirect the wake such that it does not impinge the downstream turbine, have been studied. The work presented here focuses on situations where the wake is nevertheless affecting the downstream turbine, and more specifically how high loads can be avoided by yawing the wake-affected turbine. The analysis is conducted on a 2.3 MW machine, and the flow field is simulated using the Dynamic Wake Meandering model. The study investigates the impact on power and loads for different longitudinal interspacing and turbulence intensities. Optimal yaw strategies are defined for above rated regions where no power loss occurs. The potential load alleviation for different load sensors are studied, but the presentation is focussed on the blade root flapwise fatigue loading. For full wake at 3D interspacing and turbulence intensity of 5 %, around 35 % of load reduction on the 1 Hz Damage Equivalent Loads can be achieved at high wind speeds. Smaller reductions are achieved for higher atmospheric turbulence; the analogue case with 15 % turbulence intensity shows 17 % potential alleviation. The alleviation on the wind turbine lifetime is also calculated and compared for different turbulence intensities and mean wind speeds. Small reductions are achieved for sites with low mean wind speed and high turbulence intensity, but high reductions, of around 19 %, are accomplished in low turbulence intensity with high mean wind speed.
    Original languageEnglish
    Article number012019
    Book seriesJournal of Physics: Conference Series
    Volume1102
    Issue number1
    Number of pages13
    ISSN1742-6596
    DOIs
    Publication statusPublished - 2018
    EventWindEurope 2018 Conference at the Global Wind Summit - Hamburg, Hamburg, Germany
    Duration: 25 Sep 201828 Sep 2018
    https://windeurope.org/summit2018/

    Conference

    ConferenceWindEurope 2018 Conference at the Global Wind Summit
    LocationHamburg
    Country/TerritoryGermany
    CityHamburg
    Period25/09/201828/09/2018
    Internet address

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