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Communication Dans Un Congrès Année : 2019

Sensitivity analysis of influential parameters for wind turbinenoise

Résumé

Wind turbine noise is directly concerned by physical phenomena related to long-range sound propagation, i.e. ground effects (roughness, impedance), and micrometeorological effects (mean refraction, intermittency fluctuations, small-scale turbulence scattering). In order to estimate the relative influence of these environmental and influent parameters on acoustic propagation, we present a sensitivity analysis based on a propagation model and on a specific numerical experiment design produced by a Morris screening method. The model used is a Parabolic Equation model (MW-WAPE) which takes into account ground effects (absorption through acoustic impedance & diffusion through surface roughness) and micrometeorological effects (mean refraction through the vertical gradient of effective celerity & atmospheric turbulence through the random Fourier modes technique). The results allow the quantification of the global variability and uncertainties associated with main phenomena occurring in the emission-propagation-reception process. The results will allow quantifying the overall variability and uncertainties associated with the emission-propagation-reception sound chain. A better knowledge of these uncertainties will provide a better control of the quality of wind turbines noise prediction in an inhomogeneous outdoor environment.
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Dates et versions

hal-03616880 , version 1 (23-03-2022)

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  • HAL Id : hal-03616880 , version 1

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Bill Kayser, Benoit Gauvreau, David Ecotière. Sensitivity analysis of influential parameters for wind turbinenoise. Proceeding of 8th International Conference on Wind Turbine Noise, 2019, Lisbon, Portugal. ⟨hal-03616880⟩

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