Wind turbine noise propagation in flat terrain for wind farm layout optimization frameworks

Matias Sessarego, Wen Zhong Shen, Emre Barlas

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    Abstract

    This paper describes the wind turbine noise propagation in flat terrain for use in wind farm layout optimization frameworks. Large-eddy simulations of a single wind turbine in flat terrain at varying wind speeds, shear and turbulence levels are performed. The wind turbine is modeled using an actuator line approach, while the wind turbine noise propagation is computed using the Technical University of Denmark’s WindSTAR-Pro (Wind turbine Simulation Tool for AeRodynamic noise Propagation). The wind turbine noise propagation is computed in a quasi-three-dimensional manner by using a two-dimensional (2D) parabolic equation (PE) model at numerous 2D-planes around the wind turbine. In this study, the 2D, wide-angle, Crank-Nicholson PE model is used. The relative sound pressure level obtained from WindSTAR-Pro around the wind turbine is computed for varying wind speeds, shear and turbulence levels. Wind flow velocity and relative sound pressure levels for selected wind conditions are shown. The end goal is to create a noise propagation database that can be used as a lookup table in wind farm layout optimization frameworks to mitigate the noise impact in the development of new wind farms.
    Original languageEnglish
    Title of host publicationProceedings of the 8th International Conference on Wind Turbine Noise
    Number of pages16
    PublisherINCE/Europe
    Publication date2019
    ISBN (Print)9781510889705
    Publication statusPublished - 2019
    Event8th International Conference on Wind Turbine Noise - Altis Grand Hotel, Lisbon, Portugal
    Duration: 12 Jun 201914 Jun 2019
    https://www.windturbinenoise.eu/content/conferences/8-wind-turbine-noise-2019/

    Conference

    Conference8th International Conference on Wind Turbine Noise
    LocationAltis Grand Hotel
    Country/TerritoryPortugal
    CityLisbon
    Period12/06/201914/06/2019
    Internet address

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