scholarly journals Prediction of far-field wind turbine noise propagation with parabolic equation

2016 ◽  
Vol 140 (2) ◽  
pp. 767-778 ◽  
Author(s):  
Seongkyu Lee ◽  
Dongjai Lee ◽  
Saskia Honhoff
2011 ◽  
Vol 2011 (0) ◽  
pp. _S051052-1-_S051052-4
Author(s):  
Akihiko NAGAI ◽  
Makoto IIDA ◽  
Chuichi ARAKAWA

2020 ◽  
Vol 8 (3) ◽  
pp. 212 ◽  
Author(s):  
Irene Solís-Gallego ◽  
Katia María Argüelles Díaz ◽  
Jesús Manuel Fernández Oro ◽  
Sandra Velarde-Suárez

Noise has arisen as one of the main restrictions for the deployment of wind turbines in urban environments or in sensitive ecosystems like oceans for offshore and coastal applications. An LES model, adequately planned and resolved, is useful to describe the noise generation mechanisms in wind turbine airfoils. In this work, a wall-resolved LES model of the turbulent flow around a typical wind turbine airfoil is presented and described in detail. The numerical results obtained have been validated with hot wire measurements in a wind tunnel. The description of the boundary layer over the airfoil provides an insight into the main noise generation mechanism, which is known to be the scattering of the vortical disturbances in the boundary layer into acoustic waves at the airfoil trailing edge. In the present case, 2D wave instabilities are observed in both suction and pressure sides, but these perturbations are diffused into a turbulent boundary layer prior to the airfoil trailing edge, so tonal noise components are not expected in the far-field noise propagation. The results obtained can be used as input data for the prediction of noise propagation to the far-field using a hybrid aeroacoustic model.


2018 ◽  
Vol 43 (3) ◽  
pp. 233-246 ◽  
Author(s):  
Tyler Blanchard ◽  
Biswanath Samanta

In order to meet the US Department of Energy’s projected target of 35% of the US energy coming from wind by 2035, there is a strong need to look into the management and development of wind turbine technology and its impacts on human health, wild life, and the environment. The prediction of wind turbine noise and its propagation is very critical to study the impacts of wind turbine noise for long-term adoption and acceptance by neighboring communities. This article presents a study on the prediction of wind turbine noise propagation using an open access software and the publicly available topological map of projected sites. The noise propagation prediction utilized Openwind, a software package used for wind project design and optimization, to generate a noise map based on inputs acquired from a potential wind energy demonstration site. The predicted noise maps were incorporated with the measured ambient noise data to predict the resultant noise level in the surrounding neighborhood under different scenarios.


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