Wind turbine sound propagation: Comparison of a linearized Euler equations model with parabolic equation methods

Jules Colas (1) , Ariane Emmanuelli (1) , Didier Dragna (1) , Philippe Blanc-Benon (1) , Benjamin Cotté (2) , Richard J. A. M. Stevens (3)

1 LMFA - Laboratoire de Mecanique des Fluides et d'Acoustique
2 IMSIA - UMR 9219 - Institut des Sciences de la mécanique et Applications industrielles
3 University of Twente

Noise generated by wind turbines is significantly impacted by its propagation in the atmosphere. Hence, for annoyance issues, an accurate prediction of sound propagation is critical to determine noise levels around wind turbines. This study presents a method to predict wind turbine sound propagation based on linearized Euler equations. We compare this approach to the parabolic equation method, which is widely used since it captures the influence of atmospheric refraction, ground reflection, and sound scattering at a low computational cost. Using the linearized Euler equations is more computationally demanding but can reproduce more physical effects as fewer assumptions are made. An additional benefit of the linearized Euler equations is that they provide a time-domain solution. To compare both approaches, we simulate sound propagation in two distinct scenarios. In the first scenario, a wind turbine is situated on flat terrain; in the second, a turbine is situated on a hilltop. The results show that both methods provide similar noise predictions in the two scenarios. We find that while some differences in the propagation results are observed in the second case, the final predictions for a broadband extended source are similar between the two methods.

Domaines: Physique [physics]

Jules Colas, Ariane Emmanuelli, Didier Dragna, Philippe Blanc-Benon, Benjamin Cotté, et al.. Wind turbine sound propagation: Comparison of a linearized Euler equations model with parabolic equation methods. Journal of the Acoustical Society of America, 2023, 154 (3), pp.1413-1426. ⟨10.1121/10.0020834⟩. ⟨hal-04209955v2⟩