Physics-based auralization of wind turbine noise
Résumé
Amplitude modulation of wind turbine noise is known to be a potential source of annoyance for people living in the vicinity of wind farms. To better understand this auditory annoyance, we propose to auralize the sound that is generated by the wind turbines, rather than to observe a visual representation of the sound levels. It is desirable for the developed auralization tool to be physically-based rather than sample-based. This allows control over the prevailing physical parameters. In our work, the auralization tool is based on Amiet's theory in the frequency domain, and considers the main broadband aerodynamic noise sources, namely trailing edge noise and turbulent inflow noise. For the auralization of the full wind turbine noise, the power spectral density for each blade segment and each position is considered along with the appropriate time shift due to the propagation between the moving blades and the fixed observer. In this study, an efficient method is discussed for the conversion of the frequency-domain power spectral density into a time domain signal. The appropriate time delay due to propagation is accounted for. Finally, a proper implementation of energy conserving cross-fading between consecutive signal grains is proposed. The complete auralized signal for the wind turbine noise in free field is then computed with different receiver orientations and meteorological conditions and compared with the original results in the frequency domain. This auralization tool combined with Virtual Reality/ Augmented Reality can help in building the wind farms while also accounting for auditory annoyance factor in the design phase.
Domaines
Acoustique [physics.class-ph]
Origine : Fichiers produits par l'(les) auteur(s)