Influence of environmental parameters on the modeling of wind turbine noise emission and propagation: a sensitivity analysis
| Autor: | Kayser, Bill, Ecotiere, David, Gauvreau, Benoit, COTTE, Benjamin |
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| Přispěvatelé: | Unité Mixte de Recherche en Acoustique Environnementale (UMRAE ), Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema)-Université Gustave Eiffel, Clinique du Val d'Ouest |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Forum Acusticum Forum Acusticum, Dec 2020, LYON, France. pp. 2351-2357, ⟨10.48465/fa.2020.0052⟩ |
| Popis: | Forum Acusticum, LYON, FRANCE, 07-/12/2020 - 11/12/2020; Reliable prediction of wind turbine noise involves taking into account environmental phenomena such as atmospheric conditions and ground properties, that are variable in time and space. Thus, it is essential to estimate the relative influence of those environmental parameters/variables on acoustic field calculations, in order to determine the parameters that will be the main source of uncertainties. To do so, we performed a sensitivity analysis based on the Morris? screening method using a wind turbine noise emission model coupled to a sound propagation model. The emission model is based on Amiet?s theory and is coupled to a Parabolic Equation propagation model (MW-WAPE). The whole simulation takes into account ground effects (absorption through acoustic impedance, and scattering through surface roughness) and micrometeorological effects (mean refraction through the vertical gradient of effective sound speed, and turbulence through the technique of random Fourier modes). The final 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 turbine noise prediction in an inhomogeneous outdoor environment. |
| Databáze: | OpenAIRE |
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