TY - GEN
T1 - Wind turbine noise modeling including aeroacoustic sources and propagation effects
T2 - 51st International Congress and Exposition on Noise Control Engineering, Internoise 2022
AU - Mascarenhas, David
AU - Cotté, Benjamin
AU - Doaré, Olivier
AU - Ecotière, David
AU - Guillaume, Gwenaël
AU - Gauvreau, Benoit
AU - Schmich-Yamane, Isabelle
AU - Junker, Fabrice
N1 - Publisher Copyright:
© 2022 Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering. All rights reserved.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - The study of wind turbine noise and its impact is of growing importance with the increase in the demand for green and clean energy. As it is known that wind turbine noise can be a cause of annoyance in the vicinity of wind farms it is beneficial to predict accurately the generated noise in the design phase itself. A crucial step is the validation of prediction models against field measurements. This article presents a wind turbine noise prediction model that combines Amiet's theory to calculate trailing edge noise and turbulence interaction noise in free field with a wide-angle parabolic equation valid in moving media to account for the long-range acoustic propagation effects. The model considers the wind turbine as an extended noise source and the rotation effects (such as the convective amplification and Doppler effect) are taken into account. The predicted noise levels are compared to those obtained from a measurement campaign where acoustic, meteorological and ground impedance data have been recorded simultaneously. First, the sound source model is validated close to the wind turbines for different wind speeds and directions. Then, noise predictions are compared to Sound Pressure Level measurements at various distances from the sound source, between 350 and 1300 meters.
AB - The study of wind turbine noise and its impact is of growing importance with the increase in the demand for green and clean energy. As it is known that wind turbine noise can be a cause of annoyance in the vicinity of wind farms it is beneficial to predict accurately the generated noise in the design phase itself. A crucial step is the validation of prediction models against field measurements. This article presents a wind turbine noise prediction model that combines Amiet's theory to calculate trailing edge noise and turbulence interaction noise in free field with a wide-angle parabolic equation valid in moving media to account for the long-range acoustic propagation effects. The model considers the wind turbine as an extended noise source and the rotation effects (such as the convective amplification and Doppler effect) are taken into account. The predicted noise levels are compared to those obtained from a measurement campaign where acoustic, meteorological and ground impedance data have been recorded simultaneously. First, the sound source model is validated close to the wind turbines for different wind speeds and directions. Then, noise predictions are compared to Sound Pressure Level measurements at various distances from the sound source, between 350 and 1300 meters.
M3 - Conference contribution
AN - SCOPUS:85147439410
T3 - Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering
BT - Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering
PB - The Institute of Noise Control Engineering of the USA, Inc.
Y2 - 21 August 2022 through 24 August 2022
ER -