Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023 2024
DOI: 10.61782/fa.2023.0616
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Wind turbine noise auralization including tonal and broadband aeroacoustic sources

B. Cotté,
D. Mascarenhas,
S. Roy
et al.

Abstract: The annoyance reported by people living in the vicinity of wind farms may be due to the nature of the noise, which includes significant low frequency components with a modulated temporal structure. To better understand this annoyance, it is desirable to develop a wind turbine noise auralization technique in order to perform psychoacoustic tests in a controlled manner. The physics-based synthesis tool presented here includes both tonal and broadband aeroacoustic sources. On the one hand, the tonal components at… Show more

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“…These models have accurately predicted broadband noise for helicopter rotors [28,29], automotive fans [30][31][32][33] and wind turbines [34][35][36][37], which involve moderate-to-high Reynolds numbers and fully turbulent boundary layers. However, for micro air vehicles operating at lower Reynolds numbers, the boundary layer dynamics differ, being not fully turbulent, prone to laminar separation, and the formation of laminar separation bubbles [38][39][40], leading to more challenging broadband noise predictions and reducing the accuracy of these methods for smaller rotors.…”
Section: Introductionmentioning
confidence: 99%
“…These models have accurately predicted broadband noise for helicopter rotors [28,29], automotive fans [30][31][32][33] and wind turbines [34][35][36][37], which involve moderate-to-high Reynolds numbers and fully turbulent boundary layers. However, for micro air vehicles operating at lower Reynolds numbers, the boundary layer dynamics differ, being not fully turbulent, prone to laminar separation, and the formation of laminar separation bubbles [38][39][40], leading to more challenging broadband noise predictions and reducing the accuracy of these methods for smaller rotors.…”
Section: Introductionmentioning
confidence: 99%