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Aero-acoustics prediction of a vertical axis wind turbine using Large Eddy Simulation and acoustic analogy

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  • Ghasemian, Masoud
  • Nejat, Amir

Abstract

Operating wind turbines generate tonal and broadband noises affecting the living environment adversely; especially small wind turbines located in the vicinity of human living places. Therefore, it is important to determine the level of noise pollution of such type of wind turbine installation. The current study carries out numerical prediction for aerodynamic noise radiated from an H-Darrieus Vertical Axis Wind Turbine. Incompressible LES (Large Eddy Simulation) is conducted to obtain the instantaneous turbulent flow field. The noise predictions are performed by the Ffowcs Williams and Hawkings (FW–H) acoustic analogy formulation. Simulations are performed for five different tip-speed ratios. First, the mean torque coefficient is compared with the experimental data, and good agreement is observed. Then, the research focuses on the broadband noises of the turbulent boundary layers and the tonal noises due to blade passing frequency. The contribution of the thickness, loading and quadrupole noises are investigated, separately. The results indicate a direct relation between the strength of the radiated noise and the rotational speed. Furthermore, the effect of receiver distance on the OASPL (Overall Sound Pressure Level) is investigated. It is concluded that the OASPL varies with a logarithmic trend with the receiver distance as it was expected.

Suggested Citation

  • Ghasemian, Masoud & Nejat, Amir, 2015. "Aero-acoustics prediction of a vertical axis wind turbine using Large Eddy Simulation and acoustic analogy," Energy, Elsevier, vol. 88(C), pages 711-717.
  • Handle: RePEc:eee:energy:v:88:y:2015:i:c:p:711-717
    DOI: 10.1016/j.energy.2015.05.098
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    1. Raciti Castelli, Marco & Englaro, Alessandro & Benini, Ernesto, 2011. "The Darrieus wind turbine: Proposal for a new performance prediction model based on CFD," Energy, Elsevier, vol. 36(8), pages 4919-4934.
    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.
    3. Ofelia Jianu & Marc A. Rosen & Greg Naterer, 2012. "Noise Pollution Prevention in Wind Turbines: Status and Recent Advances," Sustainability, MDPI, vol. 4(6), pages 1-14, May.
    4. Mohamed, M.H., 2012. "Performance investigation of H-rotor Darrieus turbine with new airfoil shapes," Energy, Elsevier, vol. 47(1), pages 522-530.
    5. Almohammadi, K.M. & Ingham, D.B. & Ma, L. & Pourkashan, M., 2013. "Computational fluid dynamics (CFD) mesh independency techniques for a straight blade vertical axis wind turbine," Energy, Elsevier, vol. 58(C), pages 483-493.
    6. Mohamed, M.H., 2014. "Aero-acoustics noise evaluation of H-rotor Darrieus wind turbines," Energy, Elsevier, vol. 65(C), pages 596-604.
    7. Tadamasa, A. & Zangeneh, M., 2011. "Numerical prediction of wind turbine noise," Renewable Energy, Elsevier, vol. 36(7), pages 1902-1912.
    Full references (including those not matched with items on IDEAS)

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    15. Muhammad Saif Ullah Khalid & David Wood & Arman Hemmati, 2022. "Self-Starting Characteristics and Flow-Induced Rotation of Single- and Dual-Stage Vertical-Axis Wind Turbines," Energies, MDPI, vol. 15(24), pages 1-19, December.
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    17. Lam, H.F. & Peng, H.Y., 2017. "Measurements of the wake characteristics of co- and counter-rotating twin H-rotor vertical axis wind turbines," Energy, Elsevier, vol. 131(C), pages 13-26.
    18. Peng, H.Y. & Liu, H.J. & Yang, J.H., 2021. "A review on the wake aerodynamics of H-rotor vertical axis wind turbines," Energy, Elsevier, vol. 232(C).
    19. Manuel Viqueira-Moreira & Esteban Ferrer, 2020. "Insights into the Aeroacoustic Noise Generation for Vertical Axis Turbines in Close Proximity," Energies, MDPI, vol. 13(16), pages 1-18, August.
    20. Peng, H.Y. & Lam, H.F., 2016. "Turbulence effects on the wake characteristics and aerodynamic performance of a straight-bladed vertical axis wind turbine by wind tunnel tests and large eddy simulations," Energy, Elsevier, vol. 109(C), pages 557-568.
    21. Jinlei Lv & Wenxian Yang & Haiyang Zhang & Daxiong Liao & Zebin Ren & Qin Chen, 2021. "A Feasibility Study to Reduce Infrasound Emissions from Existing Wind Turbine Blades Using a Biomimetic Technique," Energies, MDPI, vol. 14(16), pages 1-18, August.

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