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Aero-acoustics noise assessment for Wind-Lens turbine

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  • Hashem, I.
  • Mohamed, M.H.
  • Hafiz, A.A.

Abstract

This paper introduces an aero-acoustic computational study that investigates the noise caused by one of the most promising wind energy conversion concepts, namely the "Wind-Lens" technology. The hybrid method - where the flow field and acoustic field are solved separately, was deemed to be an appropriate tool to compute this study. The need to investigate this phenomenon increased gradually, since the feasibility of utilizing Wind-Lens turbine within densely populated cities and urban areas depends largely on their noise generation. Ffowcs Williams-Hawkings (FW-H) equation and its integral solution are used to predict the noise radiating to the farfield. CFD Simulations of transient three-dimensional flow field using (URANS) unsteady Reynolds-averaged Navier-Stokes equations are computed to acquire the acoustic sources location and sound intensity. Then, the noise propagates from the before-mentioned sources to pre-defined virtual microphones positioned in different locations. ANSYS-FLUENT is used to calculate the flow field on and around such turbines which is required for the FW-H code. Some effective parameters are investigated such as Wind-Lens shape, brim height and tip speed ratio. Comparison of the noise emitted from the bare wind turbine and different types of Wind-Lens turbine reveals that, the Wind-Lens generates higher noise intensity.

Suggested Citation

  • Hashem, I. & Mohamed, M.H. & Hafiz, A.A., 2017. "Aero-acoustics noise assessment for Wind-Lens turbine," Energy, Elsevier, vol. 118(C), pages 345-368.
    • Handle: RePEc:eee:energy:v:118:y:2017:i:c:p:345-368
    DOI: 10.1016/j.energy.2016.12.049
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    References listed on IDEAS

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    1. Yuji Ohya & Takashi Karasudani, 2010. "A Shrouded Wind Turbine Generating High Output Power with Wind-lens Technology," Energies, MDPI, vol. 3(4), pages 1-16, March.
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    Citations

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    Cited by:

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    3. Nunes, Matheus M. & Brasil Junior, Antonio C.P. & Oliveira, Taygoara F., 2020. "Systematic review of diffuser-augmented horizontal-axis turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    4. Mohamed, M.H. & Dessoky, A. & Alqurashi, Faris, 2019. "Blade shape effect on the behavior of the H-rotor Darrieus wind turbine: Performance investigation and force analysis," Energy, Elsevier, vol. 179(C), pages 1217-1234.
    5. Khamlaj, Tariq Abdulsalam & Rumpfkeil, Markus Peer, 2018. "Analysis and optimization of ducted wind turbines," Energy, Elsevier, vol. 162(C), pages 1234-1252.
    6. Hamid, Hossam & Mohamed Abd El Maksoud, Rafea, 2024. "An optimization study of passive flow control mechanism for a seashell-shaped wind turbine," Energy, Elsevier, vol. 289(C).
    7. Ke, Wenliang & Hashem, Islam & Zhang, Wenwu & Zhu, Baoshan, 2022. "Influence of leading-edge tubercles on the aerodynamic performance of a horizontal-axis wind turbine: A numerical study," Energy, Elsevier, vol. 239(PB).
    8. Arteaga-López, Ernesto & Ángeles-Camacho, Cesar & Bañuelos-Ruedas, Francisco, 2019. "Advanced methodology for feasibility studies on building-mounted wind turbines installation in urban environment: Applying CFD analysis," Energy, Elsevier, vol. 167(C), pages 181-188.
    9. Hashem, I. & Mohamed, M.H., 2018. "Aerodynamic performance enhancements of H-rotor Darrieus wind turbine," Energy, Elsevier, vol. 142(C), pages 531-545.
    10. Koichi Watanabe & Yuji Ohya & Takanori Uchida, 2019. "Power Output Enhancement of a Ducted Wind Turbine by Stabilizing Vortices around the Duct," Energies, MDPI, vol. 12(16), pages 1-17, August.
    11. Dessoky, Amgad & Bangga, Galih & Lutz, Thorsten & Krämer, Ewald, 2019. "Aerodynamic and aeroacoustic performance assessment of H-rotor darrieus VAWT equipped with wind-lens technology," Energy, Elsevier, vol. 175(C), pages 76-97.
    12. Silva, Paulo A.S.F. & Tsoutsanis, Panagiotis & Vaz, Jerson R.P. & Macias, Marianela M., 2024. "A comprehensive CFD investigation of tip vortex trajectory in shrouded wind turbines using compressible RANS solver," Energy, Elsevier, vol. 294(C).

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    Keywords

    Wind-Lens; Noise; CFD; Acoustics; FW-H;
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