Preprints
https://doi.org/10.5194/wes-2023-54
https://doi.org/10.5194/wes-2023-54
06 Jul 2023
 | 06 Jul 2023
Status: a revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

Numerical model for noise reduction of small vertical-axis wind turbines

Wen-Yu Wang and Yuh-Ming Ferng

Abstract. Wind turbines are a promising solution for sustainable energy, but their noise emissions present a challenge to public acceptance. Numerous blade designs have been aimed at reducing noise but often come with a decrease in wind turbine aerodynamic efficiency. In this study, the acoustic power and torque of a 5 kW vertical-axis wind turbine (VAWT) were simulated by using different mesh sizes and turbulence models. The simulated torque and noise of the turbine have significant sensitivity to the mesh size, so suitable mesh sizes were determined for the near-wall and rotating regions that can be used as a design reference for future turbines with similar operating conditions. The selection of the turbulence model was found to affect the predicted torque by about 10 % and the predicted tip noise by about 2 dB. The selected mesh size and turbulence model were then applied to simulating the effectiveness of three common noise mitigation techniques: a mask, deflector, and wall roughness. The results showed that deflectors are suitable for noise reduction of small VAWTs. This paper provides valuable information on simulating noise propagation from small VAWTs and the optimal noise reduction techniques.

Wen-Yu Wang and Yuh-Ming Ferng

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-54', Kartik Venkatraman, 01 Sep 2023
    • EC1: 'Reply on RC1', Jonathan Whale, 18 Sep 2023
    • AC1: 'Reply on RC1', Wen-Yu Wang, 14 Jan 2024
  • RC2: 'Comment on wes-2023-54', Anonymous Referee #2, 28 Nov 2023
    • EC2: 'Reply on RC2', Jonathan Whale, 30 Nov 2023
    • AC3: 'Reply on RC2', Wen-Yu Wang, 14 Jan 2024
  • RC3: 'Comment on wes-2023-54', Anonymous Referee #3, 14 Dec 2023
    • AC2: 'Reply on RC3', Wen-Yu Wang, 14 Jan 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-54', Kartik Venkatraman, 01 Sep 2023
    • EC1: 'Reply on RC1', Jonathan Whale, 18 Sep 2023
    • AC1: 'Reply on RC1', Wen-Yu Wang, 14 Jan 2024
  • RC2: 'Comment on wes-2023-54', Anonymous Referee #2, 28 Nov 2023
    • EC2: 'Reply on RC2', Jonathan Whale, 30 Nov 2023
    • AC3: 'Reply on RC2', Wen-Yu Wang, 14 Jan 2024
  • RC3: 'Comment on wes-2023-54', Anonymous Referee #3, 14 Dec 2023
    • AC2: 'Reply on RC3', Wen-Yu Wang, 14 Jan 2024
Wen-Yu Wang and Yuh-Ming Ferng
Wen-Yu Wang and Yuh-Ming Ferng

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Short summary
With the rapid advancement of computer science and technology, the use of CFD technology has become increasingly prevalent as a formidable means of exploring the aerodynamics and aeroacoustics of wind turbines. The acoustic power and moment of a 5 kW vertical-axis wind turbine (VAWT) were simulated by using different mesh sizes and turbulence models. This paper provides valuable information on simulating noise propagation from small VAWTs and the optimal noise reduction techniques.
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