Influence of blade deflections on wind turbine noise directivity

Bresciani, A.; Boatto, Umberto; Bras, Sophie Le; Bonnet, Paul; Santana, Leandro D. de

doi:10.1088/1742-6596/2257/1/012012

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…The methodology is based on a RANS-informed Amiet's model [11] for trailing-edge noise. The mid-span airfoil of each segment is used in a 2D Reynolds-averaged Navier-Stokes (RANS) simulation to compute the boundary layer parameters required by Amiet's theory for trailing-edge noise [23]. Lee's [24] and Goody's [25] empirical models are used to predict the wall pressure spectra for adverse and favorable pressure gradients, respectively.…”

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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“…Similar to previous work, e.g. [10,11], the wind turbine blade is decomposed in a set of short blade segments where the acoustic radiation of each segment is modeled by a single aerodynamic elementary source. This source power and directivity is computed using a RANS-based Amiet's theory for leading-and trailing-edge noise [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…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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“…The synthesis of wind turbine noise has lately been of increasing interest [5][6][7][8]. In this paper, we present a physics-based wind turbine noise model that allow us to synthesize noise from a 2.3 MW wind turbine over a flat ground, while including the refraction effect due to the wind speed gradient, ground reflection and scattering due to turbulence.…”

Section: Introductionmentioning

confidence: 99%

Wind turbine noise auralization including tonal and broadband aeroacoustic sources

Cotté,

Mascarenhas,

Roy

et al. 2024

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

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The annoyance reported by people living in the vicinity of wind farms may be due to the nature of the noise, which includes significant low frequency components with a modulated temporal structure. To better understand this annoyance, it is desirable to develop a wind turbine noise auralization technique in order to perform psychoacoustic tests in a controlled manner. The physics-based synthesis tool presented here includes both tonal and broadband aeroacoustic sources. On the one hand, the tonal components at the harmonics of the blade passing frequencies are mostly due to the blade-tower interaction. On the other hand, the broadband components corresponding to trailing edge noise and turbulent inflow noise are obtained from Amiet's theory. In order to include long-range propagation effects in the synthesized sounds, parabolic equation calculations are performed for various source heights along the rotor height. This study emphasizes the influence of some key parameters on the wind turbine sounds, such as propagation range and direction, wind shear, turbulence dissipation rate and ground impedance.

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Influence of blade deflections on wind turbine noise directivity

Cited by 6 publications

References 35 publications

Wind farm noise prediction and auralization

Wind farm noise prediction and auralization

Perceptual validation of wind turbine noise auralization

Wind turbine noise auralization including tonal and broadband aeroacoustic sources

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