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Communication Dans Un Congrès Année : 2021

Calculation of wind turbine noise uncertainty for downwind conditions

Résumé

Wind turbine noise variability is significant for outdoor environments because of the influence ofatmospheric conditions and ground properties that are both variable in time and space. Thus,realistic prediction of sound pressure levels involves to estimate the overall uncertainty inducedby the most influential environmental phenomena on both acoustic emission and propagation.To do so, this study performs a method of propagation of uncertainty by using a quasi-MonteCarlo sampling of input data (i.e. environmental parameters) in order to feed an Amiet emissionmodel coupled to a PE propagation model, and next to calculate the probability distribution ofoutput data (i.e. sound pressure levels). As stochastic uncertainty propagation requires a highnumber of simulations, a metamodel of the global model (emission-propagation) for wind turbinenoise was built using kriging technique in order to drastically reduce calculation duration. Theresults provide useful statistics and uncertainties information about sound pressure levels atneighborhood of a wind turbine: this information provide a better knowledge of sound pressurevariability and will help to a better control of the quality of wind turbine noise prediction forinhomogeneous outdoor environment.
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Dates et versions

hal-03616728 , version 1 (22-03-2022)

Identifiants

  • HAL Id : hal-03616728 , version 1

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Bill Kayser, Benoit Gauvreau, David Ecotiere, Vivien Mallet. Calculation of wind turbine noise uncertainty for downwind conditions. 9th International Conference on Wind Turbine Noise, May 2021, e-conference, France. ⟨hal-03616728⟩
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