IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i16p4923-d612614.html
   My bibliography  Save this article

A Feasibility Study to Reduce Infrasound Emissions from Existing Wind Turbine Blades Using a Biomimetic Technique

Author

Listed:
  • Jinlei Lv

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
    China Aerodynamics Research and Development Center, Facility Design and Instrumentation Institute, Mianyang 621000, China
    State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China)

  • Wenxian Yang

    (School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK)

  • Haiyang Zhang

    (China Aerodynamics Research and Development Center, Facility Design and Instrumentation Institute, Mianyang 621000, China
    State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China)

  • Daxiong Liao

    (China Aerodynamics Research and Development Center, Facility Design and Instrumentation Institute, Mianyang 621000, China
    State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China)

  • Zebin Ren

    (China Aerodynamics Research and Development Center, Facility Design and Instrumentation Institute, Mianyang 621000, China
    State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China)

  • Qin Chen

    (China Aerodynamics Research and Development Center, Facility Design and Instrumentation Institute, Mianyang 621000, China
    State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China)

Abstract

Infrasound, i.e., low-frequency noise in the frequency range of 10–200 Hz, produced by rotating wind turbine blades has become a matter of concern because it is harmful to human health. Today, with the rapid increase of wind turbine size, this kind of noise is more worrying than ever. Although much effort has been made to design quiet wind turbine blades, today there is still a lack of effective techniques to reduce infrasound emissions from existing blades. To fill this gap in technology, a biomimetic technique that can be readily applied to reduce infrasound emissions of existing wind turbine blades is studied in this paper using both numerical simulation and experimental testing approaches. The numerical study of the technique is based on the analysis of the sound field distribution near the blade, which is derived by performing both aerodynamic and acoustic simulations of the blade. The experimental study of the technique is based on laboratory tests of two scale models of the blade. Both numerical and experimental studies have shown that the shedding vortices behind the blade can be successfully suppressed by semi-cylindrical rings wrapped on the blade. Consequently, both infrasound and the overall sound pressure level of the noise produced by the blade are significantly reduced. Although the rings fail to show good performance in reducing high-frequency noise, it is not a problem for human health because high-frequency noise is weak and moreover it attenuates rapidly as distance increases. The research also showed that the proposed technique can, not only reduce the infrasound produced by the blade, but can also improve the power coefficient of wind turbines.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4923-:d:612614
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/16/4923/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/16/4923/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Yingjue & Wei, Kexiang & Yang, Wenxian & Wang, Qiong, 2020. "Improving wind turbine blade based on multi-objective particle swarm optimization," Renewable Energy, Elsevier, vol. 161(C), pages 525-542.
    2. Luo, Kun & Zhang, Sanxia & Gao, Zhiying & Wang, Jianwen & Zhang, Liru & Yuan, Renyu & Fan, Jianren & Cen, Kefa, 2015. "Large-eddy simulation and wind-tunnel measurement of aerodynamics and aeroacoustics of a horizontal-axis wind turbine," Renewable Energy, Elsevier, vol. 77(C), pages 351-362.
    3. 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.
    4. Tadamasa, A. & Zangeneh, M., 2011. "Numerical prediction of wind turbine noise," Renewable Energy, Elsevier, vol. 36(7), pages 1902-1912.
    5. Wenxian Yang & Theodoros Alexandridis & Wenye Tian, 2018. "Numerical Research of the Effect of Surface Biomimetic Features on the Efficiency of Tidal Turbine Blades," Energies, MDPI, vol. 11(4), pages 1-15, April.
    6. Abbasi, S.A. & Tabassum-Abbasi, & Abbasi, Tasneem, 2016. "Impact of wind-energy generation on climate: A rising spectre," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1591-1598.
    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. Tomasz Malec & Tomasz Boczar & Daria Wotzka & Michał Kozioł, 2021. "Measurement and Analysis of Infrasound Signals Generated by Operation of High-Power Wind Turbines," Energies, MDPI, vol. 14(20), pages 1-21, October.

    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. 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.
    2. 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.
    3. Liu, W.Y., 2017. "A review on wind turbine noise mechanism and de-noising techniques," Renewable Energy, Elsevier, vol. 108(C), pages 311-320.
    4. Kaviani, H. & Nejat, A., 2017. "Aeroacoustic and aerodynamic optimization of a MW class HAWT using MOPSO algorithm," Energy, Elsevier, vol. 140(P1), pages 1198-1215.
    5. 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.
    6. Xiao, Gang & Jia, Ming & Wang, Tianyou, 2016. "Large eddy simulation of n-heptane spray combustion in partially premixed combustion regime with linear eddy model," Energy, Elsevier, vol. 97(C), pages 20-35.
    7. Dupont, Elise & Koppelaar, Rembrandt & Jeanmart, Hervé, 2018. "Global available wind energy with physical and energy return on investment constraints," Applied Energy, Elsevier, vol. 209(C), pages 322-338.
    8. Mohamed, M.H., 2014. "Aero-acoustics noise evaluation of H-rotor Darrieus wind turbines," Energy, Elsevier, vol. 65(C), pages 596-604.
    9. Ma, Ning & Lei, Hang & Han, Zhaolong & Zhou, Dai & Bao, Yan & Zhang, Kai & Zhou, Lei & Chen, Caiyong, 2018. "Airfoil optimization to improve power performance of a high-solidity vertical axis wind turbine at a moderate tip speed ratio," Energy, Elsevier, vol. 150(C), pages 236-252.
    10. Oleg Lugovoy & Varun Jyothiprakash & Sourish Chatterjee & Samridh Sharma & Arijit Mukherjee & Abhishek Das & Shreya Some & Disha L. Dinesha & Nandini Das & Parthaa Bosu & Shyamasree Dasgupta & Lavanya, 2021. "Towards a Zero-Carbon Electricity System for India in 2050: IDEEA Model-Based Scenarios Integrating Wind and Solar Complementarity and Geospatial Endowments," Energies, MDPI, vol. 14(21), pages 1-57, October.
    11. Eduardo Martínez-Mendoza & Luis Arturo Rivas-Tovar & Luis Enrique García-Santamaría, 2021. "Wind energy in the Isthmus of Tehuantepec: conflicts and social implications," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11706-11731, August.
    12. 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.
    13. 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.
    14. Guillermo Valencia & Aldair Benavides & Yulineth Cárdenas, 2019. "Economic and Environmental Multiobjective Optimization of a Wind–Solar–Fuel Cell Hybrid Energy System in the Colombian Caribbean Region," Energies, MDPI, vol. 12(11), pages 1-19, June.
    15. Coilín ÓhAiseadha & Gerré Quinn & Ronan Connolly & Michael Connolly & Willie Soon, 2020. "Energy and Climate Policy—An Evaluation of Global Climate Change Expenditure 2011–2018," Energies, MDPI, vol. 13(18), pages 1-49, September.
    16. 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.
    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. & 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.
    19. Liu, Xue & Liu, Jian & Wang, Dong & Zhao, Long, 2021. "Experimental and numerical simulation investigations of an axial flow fan performance in high-altitude environments," Energy, Elsevier, vol. 234(C).
    20. 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.

    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:jeners:v:14:y:2021:i:16:p:4923-:d:612614. 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.