Preprints
https://doi.org/10.5194/wes-2025-214
https://doi.org/10.5194/wes-2025-214
29 Oct 2025
 | 29 Oct 2025
Status: this preprint is currently under review for the journal WES.

Turbulence Distortion Matters in Predicting Inflow Turbulence Noise of Future Wind Turbines

Özgür Yalçın, Andrea Piccolo, Riccardo Zamponi, Daniele Ragni, and Roberto Merino-Martinez

Abstract. This study examines the role of turbulence distortion in predicting inflow turbulence (IT) noise generation from large wind turbines via Amiet's theory. Two subsequent distortion mechanisms are investigated: (i) the streamtube expansion in the rotor induction zone and (ii) the interaction with the surface of thick blade profiles. Large-eddy simulations reveal that the turbulence spectra, which reflect distortion effects, remain largely unaffected by rotor induction within the frequency range relevant for noise generation. As for the other mechanism, the distortion of the turbulence approaching a blade leading edge is modeled with a simplified closed-form solution of Goldstein’s Rapid Distortion Theory. This vorticity-deflection-based model is extended here beyond the high-frequency approximation and integrated into an analytical Amiet-based IT noise tool. Applications to representative test cases show that while distortion effects are minimal for current turbine sizes, they become relevant for future configurations featuring larger rotor sizes and thicker airfoils. The developed model reveals that IT noise levels do not necessarily scale with rotor size, but are shaped by spectral changes induced by the blade geometry, operational parameters, and inflow conditions. This model offers a physically consistent, computationally efficient framework for aeroacoustic assessment of next-generation wind turbine design.

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Özgür Yalçın, Andrea Piccolo, Riccardo Zamponi, Daniele Ragni, and Roberto Merino-Martinez

Status: open (until 26 Nov 2025)

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Özgür Yalçın, Andrea Piccolo, Riccardo Zamponi, Daniele Ragni, and Roberto Merino-Martinez
Özgür Yalçın, Andrea Piccolo, Riccardo Zamponi, Daniele Ragni, and Roberto Merino-Martinez
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Short summary
This study, a part of the Blade Extensions for Silent Turbines project, explores how turbulent air flows affect the noise generated by large onshore wind turbines. Using advanced simulations and an analytical model, we show that as turbine blades grow larger and thicker, turbulence behaves differently near the blade, changing how noise scales. These insights help design quieter, more efficient next-generation wind turbines.
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