Generalization of Amiet’s theory for small reduced-frequency and nearly-critical gusts

Bresciani, A.; Bras, Sophie Le; Santana, Leandro D. de

doi:10.1016/j.jsv.2021.116742

Cited by 8 publications

(5 citation statements)

References 19 publications

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“…The leading-edge noise is also considered using Amiet's theory [10]. The aeroacoustic transfer functions for the leading-and trailing-edge noise are taken from reference [26]. The turbulence spectrum is used to model the velocity spectrum with a turbulence intensity of 13.0% of the wind speed for OC1 and 7.75% for OC2.…”

Section: Wind Farm Noise Predictions and Auralized Audio Samplesmentioning

confidence: 99%

Wind farm noise prediction and auralization

Bresciani,

Maillard,

Finez

2024

Acta Acust.

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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.

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Section: Wind Farm Noise Predictions and Auralized Audio Samplesmentioning

confidence: 99%

Wind farm noise prediction and auralization

Bresciani,

Maillard,

Finez

2024

Acta Acust.

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“…3 ); I = I 1 + I 2 is the aeroacoustic transfer function for trailing-edge noise, given in [32,33]; k 10 = ω/U c with U c = 0.7U ; k 20 = kx 2 /σ 0 with k = ω/c 0 ; l y is the spanwise correlation length obtained from Corcos model [34]; Φ pp is the wall pressure spectrum computed with empirical models for computational efficiency.…”

Section: Rans-informed Amiet's Theorymentioning

confidence: 99%

“…where ρ is the air density, L = L 1 + L 2 is the aeroacoustic transfer function for leading-edge noise [33] and Φ ww is the inflow turbulence spectrum modelled using the von Karman spectrum in this work. The inputs required by the von Karman spectrum are the wind turbulence intensity and integral length scale.…”

Section: Rans-informed Amiet's Theorymentioning

confidence: 99%

Influence of blade deflections on wind turbine noise directivity

Bresciani

Boatto

Bras

et al. 2022

J. Phys.: Conf. Ser.

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This paper establishes the effect of blade deflections on wind turbine noise directivity. Fast turn-around methods are used in a framework of integrated aeroelastic and aeroacoustic simulations: the blade element momentum theory is coupled with a RANS-informed Amiet’s model for the aeroacoustic modelling of trailing- and leading-edge noise. This approach is applied to the NREL 5 MW wind turbine and the results of rigid and flexible blades are compared. The overall sound pressure level computed with flexible blades increases up to 13 dBA for listeners close to the rotor plane. This effect is attributed to the flapwise angular deflection of the wind turbine blade. Furthermore, the symmetry of the results with respect to the rotor plane is lost when the flapwise deflection is considered, indicating that the modelling of this rotation is of fundamental importance for the acoustic simulation.

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“…This second phase has been integrated into CSTB's outdoor noise auralization software, MithraSOUND ® . For a more detailed description of the complete workflow and underlying theory, the reader is referred to recently published work by the authors [14][15][16][17]. The present paper describes the first results of the validation of the approach against on-site measurements of operating wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Perceptual validation of wind turbine noise auralization

Maillard,

Bresciani,

Finez

2024

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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Wind turbine noise is often mentioned as one of the limitations restraining the deployment of wind energy in rural areas. So far, the mechanisms behind the noise annoyance induced by wind turbines have been studied mostly using field recordings. However, optimizing the design, location and operation of modern wind turbines to both increase energy production and limit noise pollution clearly benefits from accurate prediction models. Work in this field has received much interest and physics-based models of wind turbine noise have been developed. Recently, such a model has been proposed by the authors where equivalent sources representing the leading-and trailing-edge noise emission of the blades are characterized using Amiet's theory and RANS simulations. These sources are then propagated in the far-field using standardized engineering models suited to take into account topography, ground properties, atmospheric and weather effects. Furthermore, an auralization technique allows the generation of audio signals for 3D noise rendering and perceptual evaluation. In this paper, the performance of the proposed auralization system is evaluated through listening tests comparing recorded and auralized wind turbine noise. Recorded samples were obtained on an existing site, with dedicated instrumentation to measure the environmental noise under different wind conditions at several locations.

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Generalization of Amiet’s theory for small reduced-frequency and nearly-critical gusts

Cited by 8 publications

References 19 publications

Wind farm noise prediction and auralization

Wind farm noise prediction and auralization

Influence of blade deflections on wind turbine noise directivity

Perceptual validation of wind turbine noise auralization

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