IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i22p15217-d974661.html
   My bibliography  Save this article

Experimental Study on the Noise Evolution of a Horizontal Axis Icing Wind Turbine Based on a Small Microphone Array

Author

Listed:
  • Bingchuan Sun

    (Department of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China
    These authors contributed equally to this work.)

  • Hongmei Cui

    (Department of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China
    These authors contributed equally to this work.)

  • Zhongyang Li

    (Department of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China)

  • Teng Fan

    (Department of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China)

  • Yonghao Li

    (Department of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China)

  • Lida Luo

    (Department of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China)

  • Yong Zhang

    (Department of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot 010010, China)

Abstract

In recent years, the global energy mix is shifting towards sustainable energy systems due to the energy crisis and the prominence of ecological climate change. Wind energy resources are abundant in cold regions, and wind turbines are increasingly operating in cold regions with wet natural environments, increasing the risk of wind turbine blade icing. To address the problem of noise source distribution and the frequency characteristic variation of wind turbines in natural icing environments, this paper uses a 112-channel microphone array to acquire the acoustic signals of a horizontal axis wind turbine with a diameter of 2.45m. Using the beamforming technique, the wind turbine noise evolution law characteristics under natural icing environment were studied by field experiments, and the noise source distribution and noise increase in different frequency bands under different icing mass and positions and different angles of attack were analyzed in detail. The results show that under the leading-edge and windward-side icing, the noise source gradually moves toward the blade tip along the spanwise direction with the increase in ice mass. In addition, the total sound pressure level at 460 r/min, 520 r/min, 580 r/min, and 640 r/min are increased by 0.82 dB, 0.85 dB, 0.91 dB, and 0.95 dB, respectively for the leading-edge icing condition in comparison with the uniform icing over the windward side of the blade.

Suggested Citation

  • Bingchuan Sun & Hongmei Cui & Zhongyang Li & Teng Fan & Yonghao Li & Lida Luo & Yong Zhang, 2022. "Experimental Study on the Noise Evolution of a Horizontal Axis Icing Wind Turbine Based on a Small Microphone Array," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15217-:d:974661
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/22/15217/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/22/15217/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Koca, Kemal & Genç, Mustafa Serdar & Açıkel, Halil Hakan & Çağdaş, Mücahit & Bodur, Tuna Murat, 2018. "Identification of flow phenomena over NACA 4412 wind turbine airfoil at low Reynolds numbers and role of laminar separation bubble on flow evolution," Energy, Elsevier, vol. 144(C), pages 750-764.
    2. Tadamasa, A. & Zangeneh, M., 2011. "Numerical prediction of wind turbine noise," Renewable Energy, Elsevier, vol. 36(7), pages 1902-1912.
    3. Tautz-Weinert, Jannis & Yürüşen, Nurseda Y. & Melero, Julio J. & Watson, Simon J., 2019. "Sensitivity study of a wind farm maintenance decision - A performance and revenue analysis," Renewable Energy, Elsevier, vol. 132(C), pages 93-105.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Weiwu Feng & Da Yang & Wenxue Du & Qiang Li, 2023. "In Situ Structural Health Monitoring of Full-Scale Wind Turbine Blades in Operation Based on Stereo Digital Image Correlation," Sustainability, MDPI, vol. 15(18), pages 1-17, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Serdar GENÇ, Mustafa & KOCA, Kemal & AÇIKEL, Halil Hakan, 2019. "Investigation of pre-stall flow control on wind turbine blade airfoil using roughness element," Energy, Elsevier, vol. 176(C), pages 320-334.
    3. Mohamed, M.H., 2014. "Aero-acoustics noise evaluation of H-rotor Darrieus wind turbines," Energy, Elsevier, vol. 65(C), pages 596-604.
    4. Lin, Zi & Cevasco, Debora & Collu, Maurizio, 2020. "A methodology to develop reduced-order models to support the operation and maintenance of offshore wind turbines," Applied Energy, Elsevier, vol. 259(C).
    5. Zhang, Sanxia & Luo, Kun & Yuan, Renyu & Wang, Qiang & Wang, Jianwen & Zhang, Liru & Fan, Jianren, 2018. "Influences of operating parameters on the aerodynamics and aeroacoustics of a horizontal-axis wind turbine," Energy, Elsevier, vol. 160(C), pages 597-611.
    6. Miller, Aaron & Chang, Byungik & Issa, Roy & Chen, Gerald, 2013. "Review of computer-aided numerical simulation in wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 122-134.
    7. Cao, Jiu Fa & Zhu, Wei Jun & Shen, Wen Zhong & Sørensen, Jens Nørkær & Sun, Zhen Ye, 2020. "Optimizing wind energy conversion efficiency with respect to noise: A study on multi-criteria wind farm layout design," Renewable Energy, Elsevier, vol. 159(C), pages 468-485.
    8. Ravi Pandit & Davide Astolfi & Anh Minh Tang & David Infield, 2022. "Sequential Data-Driven Long-Term Weather Forecasting Models’ Performance Comparison for Improving Offshore Operation and Maintenance Operations," Energies, MDPI, vol. 15(19), pages 1-20, October.
    9. 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.
    10. Açıkel, Halil Hakan & Serdar Genç, Mustafa, 2018. "Control of laminar separation bubble over wind turbine airfoil using partial flexibility on suction surface," Energy, Elsevier, vol. 165(PA), pages 176-190.
    11. Nakhchi, M.E. & Naung, S. Win & Rahmati, M., 2021. "High-resolution direct numerical simulations of flow structure and aerodynamic performance of wind turbine airfoil at wide range of Reynolds numbers," Energy, Elsevier, vol. 225(C).
    12. Kerikous, Emeel & Thévenin, Dominique, 2019. "Optimal shape and position of a thick deflector plate in front of a hydraulic Savonius turbine," Energy, Elsevier, vol. 189(C).
    13. Koca, Kemal & Genç, Mustafa Serdar & Ertürk, Sevde, 2022. "Impact of local flexible membrane on power efficiency stability at wind turbine blade," Renewable Energy, Elsevier, vol. 197(C), pages 1163-1173.
    14. 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.
    15. Pliego Marugán, Alberto & García Márquez, Fausto Pedro & Pinar Pérez, Jesús María, 2022. "A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    16. Konstantinos Konstas & Panos T. Chountalas & Eleni A. Didaskalou & Dimitrios A. Georgakellos, 2023. "A Pragmatic Framework for Data-Driven Decision-Making Process in the Energy Sector: Insights from a Wind Farm Case Study," Energies, MDPI, vol. 16(17), pages 1-26, August.
    17. Mustafa Özden & Mustafa Serdar Genç & Kemal Koca, 2023. "Passive Flow Control Application Using Single and Double Vortex Generator on S809 Wind Turbine Airfoil," Energies, MDPI, vol. 16(14), pages 1-17, July.
    18. Alberto Pliego Marug'an & Fausto Pedro Garc'ia M'arquez & Jes'us Mar'ia Pinar P'erez, 2024. "A techno-economic model for avoiding conflicts of interest between owners of offshore wind farms and maintenance suppliers," Papers 2401.08251, arXiv.org.
    19. 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.
    20. Mohammad Souri & Farshad Moradi Kashkooli & Madjid Soltani & Kaamran Raahemifar, 2021. "Effect of Upstream Side Flow of Wind Turbine on Aerodynamic Noise: Simulation Using Open-Loop Vibration in the Rod in Rod-Airfoil Configuration," Energies, MDPI, vol. 14(4), pages 1-24, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15217-:d:974661. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.