IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i16p5865-d1212722.html
   My bibliography  Save this article

Experimental Study on Wind Turbine Airfoil Trailing Edge Noise Reduction Using Wavy Leading Edges

Author

Listed:
  • Yudi Xing

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China
    Key Laboratory of Aerodynamic Noise Control, China Aerodynamics Research and Development Center, Mianyang 621000, China)

  • Xingyu Wang

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China)

  • Weijie Chen

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China
    Key Laboratory of Aerodynamic Noise Control, China Aerodynamics Research and Development Center, Mianyang 621000, China
    Collaborative Innovation Center for Advanced Aero-Engine, Beijing 100191, China)

  • Fan Tong

    (Key Laboratory of Aerodynamic Noise Control, China Aerodynamics Research and Development Center, Mianyang 621000, China)

  • Weiyang Qiao

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China
    Key Laboratory of Aerodynamic Noise Control, China Aerodynamics Research and Development Center, Mianyang 621000, China)

Abstract

Aerodynamic noise produced by the rotating blade is an important hindrance for the rapid development of modern wind turbines. Among the various noise sources, the airfoil trailing edge noise contributes a lot to the wind turbine noise. The control of wind turbine airfoil trailing edge self-noise by bio-inspired sinusoidal wavy leading edges is experimentally studied in a semi-anechoic chamber. The noise radiated by the baseline NACA 0012 airfoil and various wavy airfoils is measured using a planar microphone array consisting of fifty-two microphones. The noise source identifications are achieved by using the CLEAN-SC method. The effects of velocity and angle of attack on noise radiation of the baseline airfoil are analyzed in detail. The noise control law of the wavy amplitude and wavelength on airfoil trailing edge noise is explored. Based on the acoustic beamforming results, the noise control effects of the wavy leading edges are intuitively demonstrated. In general, the wavy leading edge with a larger amplitude and smaller wavelength has a better effect on the airfoil trailing edge noise reduction. The maximum sound pressure level reduction can be up to 33.9 dB. The results of this study are expected to provide important information for wind turbine aerodynamic noise control.

Suggested Citation

  • Yudi Xing & Xingyu Wang & Weijie Chen & Fan Tong & Weiyang Qiao, 2023. "Experimental Study on Wind Turbine Airfoil Trailing Edge Noise Reduction Using Wavy Leading Edges," Energies, MDPI, vol. 16(16), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:5865-:d:1212722
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/16/5865/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/16/5865/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gaßner, Laura & Blumendeller, Esther & Müller, Florian J.Y. & Wigger, Maayen & Rettenmeier, Andreas & Cheng, Po Wen & Hübner, Gundula & Ritter, Joachim & Pohl, Johannes, 2022. "Joint analysis of resident complaints, meteorological, acoustic, and ground motion data to establish a robust annoyance evaluation of wind turbine emissions," Renewable Energy, Elsevier, vol. 188(C), pages 1072-1093.
    2. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    3. Julia Ageborg Morsing & Michael G. Smith & Mikael Ögren & Pontus Thorsson & Eja Pedersen & Jens Forssén & Kerstin Persson Waye, 2018. "Wind Turbine Noise and Sleep: Pilot Studies on the Influence of Noise Characteristics," IJERPH, MDPI, vol. 15(11), pages 1-14, November.
    4. Clémence Baudin & Marie Lefèvre & Patricia Champelovier & Jacques Lambert & Bernard Laumon & Anne-Sophie Evrard, 2018. "Aircraft Noise and Psychological Ill-Health: The Results of a Cross-Sectional Study in France," IJERPH, MDPI, vol. 15(8), pages 1-14, August.
    Full references (including those not matched with items on IDEAS)

    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. Kyriakopoulos, Grigorios L. & Arabatzis, Garyfallos & Tsialis, Panagiotis & Ioannou, Konstantinos, 2018. "Electricity consumption and RES plants in Greece: Typologies of regional units," Renewable Energy, Elsevier, vol. 127(C), pages 134-144.
    2. Piotr Siemiątkowski & Patryk Tomaszewski & Joanna Marszałek-Kawa & Janusz Gierszewski, 2020. "The Financing of Renewable Energy Sources and the Level of Sustainable Development of Poland’s Provinces in the Area of Environmental Order," Energies, MDPI, vol. 13(21), pages 1-19, October.
    3. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    4. Keun-Seob Choi & Jeong-Dong Lee & Chulwoo Baek, 2016. "Growth of De Alio and De Novo firms in the new and renewable energy industry," Industry and Innovation, Taylor & Francis Journals, vol. 23(4), pages 295-312, May.
    5. Göransson, Lisa & Goop, Joel & Unger, Thomas & Odenberger, Mikael & Johnsson, Filip, 2014. "Linkages between demand-side management and congestion in the European electricity transmission system," Energy, Elsevier, vol. 69(C), pages 860-872.
    6. Tomasz Jałowiec & Henryk Wojtaszek, 2021. "Analysis of the RES Potential in Accordance with the Energy Policy of the European Union," Energies, MDPI, vol. 14(19), pages 1-33, September.
    7. Tomislav Malvić & Uroš Barudžija & Borivoje Pašić & Josip Ivšinović, 2021. "Small Unconventional Hydrocarbon Gas Reservoirs as Challenging Energy Sources, Case Study from Northern Croatia," Energies, MDPI, vol. 14(12), pages 1-16, June.
    8. Geraili, A. & Sharma, P. & Romagnoli, J.A., 2014. "Technology analysis of integrated biorefineries through process simulation and hybrid optimization," Energy, Elsevier, vol. 73(C), pages 145-159.
    9. Jin Zhu & Dequn Zhou & Zhengning Pu & Huaping Sun, 2019. "A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    10. Wang, Yongli & Li, Jiapu & Wang, Shuo & Yang, Jiale & Qi, Chengyuan & Guo, Hongzhen & Liu, Ximei & Zhang, Hongqing, 2020. "Operational optimization of wastewater reuse integrated energy system," Energy, Elsevier, vol. 200(C).
    11. Fleck, Ann-Katrin & Anatolitis, Vasilios, 2023. "Achieving the objectives of renewable energy policy – Insights from renewable energy auction design in Europe," Energy Policy, Elsevier, vol. 173(C).
    12. Liu, Wen & Hu, Weihao & Lund, Henrik & Chen, Zhe, 2013. "Electric vehicles and large-scale integration of wind power – The case of Inner Mongolia in China," Applied Energy, Elsevier, vol. 104(C), pages 445-456.
    13. Yuan, Mei-Hua & Lo, Shang-Lien, 2020. "Developing indicators for the monitoring of the sustainability of food, energy, and water," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    14. Aleksandra Matuszewska-Janica & Dorota Żebrowska-Suchodolska & Urszula Ala-Karvia & Marta Hozer-Koćmiel, 2021. "Changes in Electricity Production from Renewable Energy Sources in the European Union Countries in 2005–2019," Energies, MDPI, vol. 14(19), pages 1-27, October.
    15. Julien Walzberg & Annika Eberle, 2023. "Modeling Systems’ Disruption and Social Acceptance—A Proof-of-Concept Leveraging Reinforcement Learning," Sustainability, MDPI, vol. 15(13), pages 1-13, June.
    16. Bertolini, Marina & D'Alpaos, Chiara & Moretto, Michele, 2018. "Do Smart Grids boost investments in domestic PV plants? Evidence from the Italian electricity market," Energy, Elsevier, vol. 149(C), pages 890-902.
    17. Fusco, Francesco & Nolan, Gary & Ringwood, John V., 2010. "Variability reduction through optimal combination of wind/wave resources – An Irish case study," Energy, Elsevier, vol. 35(1), pages 314-325.
    18. Sarraf, M. & Rismanchi, B. & Saidur, R. & Ping, H.W. & Rahim, N.A., 2013. "Renewable energy policies for sustainable development in Cambodia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 223-229.
    19. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.
    20. Peura, Pekka, 2013. "From Malthus to sustainable energy—Theoretical orientations to reforming the energy sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 309-327.

    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:16:y:2023:i:16:p:5865-:d:1212722. 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.