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An Aero-acoustic Noise Distribution Prediction Methodology for Offshore Wind Farms

School of Hydraulic Energy and Power Engineering, Yangzhou University, Yangzhou 225127, China
Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, China
GCL Intelligent Energy Co., Ltd., Suzhou 215000, China
Author to whom correspondence should be addressed.
Energies 2019, 12(1), 18;
Received: 28 November 2018 / Revised: 17 December 2018 / Accepted: 19 December 2018 / Published: 21 December 2018
(This article belongs to the Special Issue Recent Advances in Offshore Wind Technology)
PDF [12445 KB, uploaded 21 December 2018]


Recently attention has been paid to wind farm noise due to its negative health impact, not only on human beings, but also to marine and terrestrial organisms. The current work proposes a numerical methodology to generate a numerical noise map for a given wind farm. Noise generation from single wind turbines as well as wind farms has its basis in the nature of aerodynamics, caused by the interactions between the incoming turbulent flow and the wind turbine blades. Hence, understanding the mechanisms of airfoil noise generation, demands access to sophisticated numerical tools. The processes of modeling wind farm noise include three steps: (1) The whole wind farm velocity distributions are modelled with an improved Jensen’s wake model; (2) The individual wind turbine’s noise is simulated by a semi-empirical wind turbine noise source model; (3) Propagations of noise from all wind turbines are carried out by solving the parabolic wave equation. In the paper, the wind farm wake effect from the Horns Rev wind farm is studied. Based on the resulted wind speed distributions in the wind farm, the wind turbine noise source and its propagation are simulated for the whole wind farm. View Full-Text
Keywords: offshore wind farm; wake model; aero-acoustic; wind farm noise propagation offshore wind farm; wake model; aero-acoustic; wind farm noise propagation

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Cao, J.; Zhu, W.; Wu, X.; Wang, T.; Xu, H. An Aero-acoustic Noise Distribution Prediction Methodology for Offshore Wind Farms. Energies 2019, 12, 18.

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