Wind turbine noise generation and propagation modeling at DTU Wind Energy: A review

Wei Jun Zhu, Wen Zhong Shen, Emre Barlas, Franck Bertagnolio and Jens Nørkær Sørensen

Renewable and Sustainable Energy Reviews, 2018, vol. 88, issue C, 133-150

Abstract: The present review paper provides a comprehensive overview of the research activities on wind turbine aeroacoustics at DTU over the last 20 years, as well as it gives the state-of-the-art of noise prediction models for wind turbines under complex inflow conditions. Various noise generation models developed at DTU are described and analyzed, including models based on the acoustic analogy, flow-acoustics splitting techniques, Amiet's model, and various engineering models. Some of the models are coupled to existing aero-elastic software and computational fluid mechanics models developed at DTU, and implemented in the simulation platform WindSTAR (Wind turbine Simulation Tool for AeRodynamic noise). This simulation platform consists of WindSTAR-Gen, dealing with models for generation of noise and design of low-noise wind turbines, and WindSTAR-Pro, which is developed to handle the modeling of long distance acoustic propagation. As specific features of the WindSTAR-Pro package, the rotation of the noise sources is modeled, the propagation simulations combine the so-called Parabolic Equations (PE) propagation model with numerical flow simulations to take into account effects from wind turbine wakes, atmospheric turbulence and wind shear.

Keywords: Wind turbine noise generation; Wind turbine noise propagation; Computational aeroacoustics; Computational fluid dynamics (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:rensus:v:88:y:2018:i:c:p:133-150

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DOI: 10.1016/j.rser.2018.02.029

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