Development of an Advanced Fluid-Structure-Acoustics Framework for Predicting and Controlling the Noise Emission from a Wind Turbine under Wind Shear and Yaw

Applied Sciences

Matias Sessarego¹  WenZhong Shen¹  Mingyue Zhou¹  Hua Yang² 

[1] Fluid Mechanics Section, Department of Wind Energy, Technical University of Denmark, Nils Koppels Allé, Building 403, 2800 Lyngby, Denmark;School of Hydraulic Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China;

关键词: aeroacoustics;    wind turbine;    noise modelling;    noise control;   

DOI  :  10.3390/app10217610

来源: DOAJ

【 摘 要 】

Noise generated from wind turbines is a big challenge for the wind energy industry to develop further onshore wind energy. The traditional way of reducing noise is to design low noise wind turbine airfoils and blades. A wind turbine operating under wind shear and in yaw produces periodic changes of blade loading, which intensifies the amplitude modulation (AM) of the generated noise, and thus can give more annoyance to the people living nearby. In this paper, the noise emission from a wind turbine under wind shear and yaw is modelled with an advanced fluid-structure-acoustics framework, and then controlled with a pitch control strategy. The numerical tool used in this study is the coupled Navier–Stokes/Actuator Line model ElliSys3D/AL, structure model FLEX5, and noise prediction model (Brooks, Pope and Marcolini: BPM) framework. All simulations and tests were made on the NM80 wind turbine equipped with three blades made by LM Wind Power. The coupled code was first validated against field load measurements under wind shear and yaw, and a fairly good agreement was obtained. The coupled code was then used to study the noise source control of the turbine under wind shear and yaw. Results show that in the case of a moderate wind shear with a shear exponent of 0.3, the pitch control strategy can reduce the mean noise emission about 0.4 dB and reduce slightly the modulation depth that mainly occurs in the low-frequency region.

【 授权许可】

Unknown