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Broadband noise radiation analysis for an HAWT rotor

Author

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  • Filios, A.E.
  • Tachos, N.S.
  • Fragias, A.P.
  • Margaris, D.P.

Abstract

The paper demonstrates a computational methodology for the noise prediction of an horizontal axis wind turbine (HAWT) rotor in time domain. The aeroacoustic modeling is based on the Ffowcs Williams and Hawkings equation considering only the surface monopole and dipole noise sources. The accurate solution of the noise problem is strongly influenced by the unsteadiness of the rotor flowfield, the nonuniform inflow effects and the blade aerodynamic parameters which are included in the numerical model. The aerodynamic analysis uses a three-dimensional low-order panel method combined with a boundary layer correction model for the calculation of the blade pressure distribution, obtaining satisfactory agreement with experimental data. Acoustic pressure predictions for the NREL downwind rotor are presented for several cases proving that broadband noise propagation dominates at low- and mid-frequency ranges. Sound pressure level contours occur via Fourier transformations, while the directivity for a single frequency source is also examined.

Suggested Citation

  • Filios, A.E. & Tachos, N.S. & Fragias, A.P. & Margaris, D.P., 2007. "Broadband noise radiation analysis for an HAWT rotor," Renewable Energy, Elsevier, vol. 32(9), pages 1497-1510.
  • Handle: RePEc:eee:renene:v:32:y:2007:i:9:p:1497-1510
    DOI: 10.1016/j.renene.2006.10.002
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    Citations

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    Cited by:

    1. 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.
    2. Ma, Ping & Lien, Fue-Sang & Yee, Eugene, 2017. "Coarse-resolution numerical prediction of small wind turbine noise with validation against field measurements," Renewable Energy, Elsevier, vol. 102(PB), pages 502-515.
    3. Mohamed, M.H., 2016. "Reduction of the generated aero-acoustics noise of a vertical axis wind turbine using CFD (Computational Fluid Dynamics) techniques," Energy, Elsevier, vol. 96(C), pages 531-544.
    4. 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.
    5. Kaldellis, J.K. & Garakis, K. & Kapsali, M., 2012. "Noise impact assessment on the basis of onsite acoustic noise immission measurements for a representative wind farm," Renewable Energy, Elsevier, vol. 41(C), pages 306-314.
    6. Cheng, Zhi & Lien, Fue-Sang & Yee, Eugene & Meng, Hang, 2022. "A unified framework for aeroacoustics simulation of wind turbines," Renewable Energy, Elsevier, vol. 188(C), pages 299-319.
    7. Katsaprakakis, Dimitris Al., 2012. "A review of the environmental and human impacts from wind parks. A case study for the Prefecture of Lasithi, Crete," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2850-2863.
    8. Ye, Xuemin & Li, Pengmin & Li, Chunxi & Ding, Xueliang, 2015. "Numerical investigation of blade tip grooving effect on performance and dynamics of an axial flow fan," Energy, Elsevier, vol. 82(C), pages 556-569.
    9. Krzysztof Kołodziejczyk & Radosław Ptak, 2022. "Numerical Investigations of the Vertical Axis Wind Turbine with Guide Vane," Energies, MDPI, vol. 15(22), pages 1-14, November.
    10. Mohamed, M.H., 2014. "Aero-acoustics noise evaluation of H-rotor Darrieus wind turbines," Energy, Elsevier, vol. 65(C), pages 596-604.

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