Communication Dans Un Congrès Année : 2024

Uncertainties in numerical predictions and experimental characterization of wind farm noise

Hubert Lefèvre
  • Fonction : Auteur
Jean Ripolles
  • Fonction : Auteur

Résumé

PIBE (Prévoir l’Impact du Bruit des Éoliennes – Predicting the impact of wind-turbine noise) is a research project funded by ANR (French National Research Agency) which main objectives are to better understand the noise levels created by wind-turbines and assess noise-reduction solutions. One topic of this project focuses on the propagation of uncertainty. Code_TYMPAN™ is an open-source software for calculating industrial noise in the environment. Its open architecture, implemented by a Python API, allows advanced users to build and solve models programmatically. This open architecture made possible the implementation of a parametrical computational tool (OCP – Outil de Calcul Paramétrique). This tool generates input data, launches the calculations with Code_TYMPAN™, generates and post-processes output data. Thus, sensitivity analysis and propagation of uncertainty were performed on an industrial test case. This development demonstrates the feasability of introducing uncertainties in acoustic engineering studies.

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Dates et versions

hal-04939478 , version 1 (10-02-2025)

Identifiants

Citer

Benoit Gauvreau, Albert Alarcon, Simon Bianchetti, Régis Boittin, Laurent Brendel, et al.. Uncertainties in numerical predictions and experimental characterization of wind farm noise. Inter-Noise 2024, 2024, Nantes, France. pp.9915-9924, ⟨10.3397/IN_2024_4322⟩. ⟨hal-04939478⟩
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