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Variability of wind turbine noise over a diurnal cycle

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  • Barlas, Emre
  • Wu, Ka Ling
  • Zhu, Wei Jun
  • Porté-Agel, Fernando
  • Shen, Wen Zhong

Abstract

The diurnal variation of atmospheric conditions over land has a significant effect on the wind and temperature distributions which greatly influence the generation and propagation of wind turbine aerodynamic sound. In this paper, a fully consistent unsteady approach is used to study wind turbine noise such that large eddy simulation with a rotational actuator disk wind turbine model is used to model the wind and temperature around a mega-watt scale wind turbine over a diurnal cycle, and time dependent flow and temperature fields are used as input to the coupled wind turbine noise generation-propagation model. Computations are carried out for four different 10 min datasets selected at certain periods of a day for a same hub height wind speed. It is observed that the time dependent as well as the time averaged sound pressure levels in near field do not show large variations during the day. However, as we move away from the turbine, the propagation effects take over and downwind of the turbine the night time levels exceed the day time levels (at 3600 m the averaged difference reaches 6.5 dBA).

Suggested Citation

  • Barlas, Emre & Wu, Ka Ling & Zhu, Wei Jun & Porté-Agel, Fernando & Shen, Wen Zhong, 2018. "Variability of wind turbine noise over a diurnal cycle," Renewable Energy, Elsevier, vol. 126(C), pages 791-800.
    • Handle: RePEc:eee:renene:v:126:y:2018:i:c:p:791-800
    DOI: 10.1016/j.renene.2018.03.086
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    References listed on IDEAS

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    1. Li, Jian & Liu, Ranhui & Yuan, Peng & Pei, Yanli & Cao, Renjing & Wang, Gang, 2020. "Numerical simulation and application of noise for high-power wind turbines with double blades based on large eddy simulation model," Renewable Energy, Elsevier, vol. 146(C), pages 1682-1690.
    2. Cao, Jiufa & Nyborg, Camilla Marie & Feng, Ju & Hansen, Kurt S. & Bertagnolio, Franck & Fischer, Andreas & Sørensen, Thomas & Shen, Wen Zhong, 2022. "A new multi-fidelity flow-acoustics simulation framework for wind farm application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).

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