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

Journal Article

Title: An Aero-acoustic Noise Distribution Prediction Methodology for Offshore Wind Farms
Publication Date:
December 21, 2018
Journal: Energies
Volume: 12
Issue: 1
Pages: 18
Publisher: MDPI
Stressor:
Technology Type:

Document Access

Website: External Link
Attachment: Access File
(12 MB)

Citation

Cao, J.; Zhu, W.; Wu, X.; Wang, T.; Xu, H. (2018). An Aero-acoustic Noise Distribution Prediction Methodology for Offshore Wind Farms. Energies, 12(1), 18.
Abstract: 

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.

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