Issue |
Acta Acust.
Volume 8, 2024
Topical Issue - Virtual acoustics
|
|
---|---|---|
Article Number | 15 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1051/aacus/2024007 | |
Published online | 22 March 2024 |
Scientific Article
Wind farm noise prediction and auralization
1
Centre Scientifique et Technique du Bâtiment (CSTB), 24 Rue Joseph Fourier, Saint-Martin-d’Hères, 38400, France
2
University of Twente, Drienerlolaan 5, 7522 NB, Enschede, The Netherlands
3
ENGIE Green, 6 rue Alexander Fleming, 69007, Lyon, France
* Corresponding author: andrea.bresciani@vki.ac.be
Received:
13
December
2023
Accepted:
18
February
2024
This work presents the application and validation of a novel auralization approach for the evaluation of wind turbine noise annoyance under diverse conditions. The approach is based on the decomposition of each turbine blade into elementary short-segment sources, whose acoustic radiation in the far field is obtained by coupling Amiet’s emission model with the Harmonoise engineering model for outdoor sound propagation. The transfer functions between the elementary source positions and receivers are obtained. Then, the average and instantaneous sound pressure levels are calculated over one blade rotation. The realism of the audio signals is evaluated through listening tests with audio signals of the real and simulated environments. The predicted noise spectra from five wind turbines capture well the measured trends and the absolute levels. Finally, we present a study of the weather effects on noise emissions and propagation by using the numerical model developed.
Key words: Wind turbine noise / Auralization / Outdoor sound propagation
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© The Author(s), Published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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