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Development of low-noise drag-type vertical wind turbines

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  • Kim, Sanghyeon
  • Cheong, Cheolung

Abstract

In this study, the aerodynamic noise characteristics of Savonius wind turbines were investigated using hybrid computational aero-acoustics techniques, and low-noise designs were proposed based on the understanding of the noise generation mechanism. First, the flow field around the turbine was analyzed in detail by solving three-dimensional unsteady incompressible Reynolds-averaged Navier–Stokes equations using computational fluid dynamics techniques. Then, the aerodynamic noise radiating from the wind turbine was predicted using the Ffowcs Williams and Hawkings equation with the obtained flow field information. Two distinct harmonic noise components—the blade passing frequency (BPF) and harmonics with a fundamental frequency that is much higher than the BPF—were identified in the predicted noise spectrum. The origin of the higher harmonic components was found to be related to vortex shedding from the rotating turbine. Based on this finding, the proposed low-noise design for Savonius wind turbines uses S-shaped blades. S-shaped blades were found to reduce the noise levels of Savonius wind turbines by up to 2.7 dB.

Suggested Citation

  • Kim, Sanghyeon & Cheong, Cheolung, 2015. "Development of low-noise drag-type vertical wind turbines," Renewable Energy, Elsevier, vol. 79(C), pages 199-208.
    • Handle: RePEc:eee:renene:v:79:y:2015:i:c:p:199-208
    DOI: 10.1016/j.renene.2014.09.047
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    References listed on IDEAS

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    1. Afungchui, David & Kamoun, Baddreddinne & Helali, Ali & Ben Djemaa, Abdellatif, 2010. "The unsteady pressure field and the aerodynamic performances of a Savonius rotor based on the discrete vortex method," Renewable Energy, Elsevier, vol. 35(1), pages 307-313.
    2. D’Alessandro, V. & Montelpare, S. & Ricci, R. & Secchiaroli, A., 2010. "Unsteady Aerodynamics of a Savonius wind rotor: a new computational approach for the simulation of energy performance," Energy, Elsevier, vol. 35(8), pages 3349-3363.
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    Cited by:

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    3. Su, Jie & Lei, Hang & Zhou, Dai & Han, Zhaolong & Bao, Yan & Zhu, Hongbo & Zhou, Lei, 2019. "Aerodynamic noise assessment for a vertical axis wind turbine using Improved Delayed Detached Eddy Simulation," Renewable Energy, Elsevier, vol. 141(C), pages 559-569.
    4. Liu, W.Y., 2017. "A review on wind turbine noise mechanism and de-noising techniques," Renewable Energy, Elsevier, vol. 108(C), pages 311-320.
    5. Chen, Jian & Chen, Liu & Xu, Hongtao & Yang, Hongxing & Ye, Changwen & Liu, Di, 2016. "Performance improvement of a vertical axis wind turbine by comprehensive assessment of an airfoil family," Energy, Elsevier, vol. 114(C), pages 318-331.
    6. Li, Jian & Liu, Ranhui & Yuan, Peng & Pei, Yanli & Cao, Renjing & Wang, Gang, 2020. "Numerical simulation and application of noise for high-power wind turbines with double blades based on large eddy simulation model," Renewable Energy, Elsevier, vol. 146(C), pages 1682-1690.
    7. Kumar, Rakesh & Raahemifar, Kaamran & Fung, Alan S., 2018. "A critical review of vertical axis wind turbines for urban applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 89(C), pages 281-291.
    8. A. G. Olabi & Tabbi Wilberforce & Khaled Elsaid & Tareq Salameh & Enas Taha Sayed & Khaled Saleh Husain & Mohammad Ali Abdelkareem, 2021. "Selection Guidelines for Wind Energy Technologies," Energies, MDPI, vol. 14(11), pages 1-34, June.

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