IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v227y2024ics096014812400541x.html
   My bibliography  Save this article

Low-cost wind turbine aeroacoustic predictions using actuator lines

Author

Listed:
  • Botero-Bolívar, Laura
  • Marino, Oscar A.
  • Venner, Cornelis H.
  • de Santana, Leandro D.
  • Ferrer, Esteban

Abstract

Aerodynamic noise is a limitation for further exploitation of wind energy resources. As this type of noise is caused by the interaction of turbulent flow with the airframe, a detailed resolution of the flow is necessary to obtain an accurate prediction of the far-field noise. Computational fluid dynamic (CFD) solvers simulate the flow field but only at a high computational cost, which is much increased when the acoustic field is resolved. Therefore, wind turbine noise predictions using numerical approaches remain a challenge. This paper presents a methodology that couples (relatively fast) wind turbine CFD simulations using actuator lines with a fast turn-around noise prediction method. The flow field is simulated using actuator lines and large eddy simulations. The noise prediction method is based on the Amiet–Schlinker’s theory for rotatory noise sources, considering leading- and trailing-edge noise as unique noise sources. A 2D panel code (XFOIL) calculates the sectional forces and boundary layer quantities. The resulting methodology for the noise prediction method is of high fidelity since the wind turbine geometry is accounted for in both flow and acoustics predictions. Results are compared with field measurements of a full-scale wind turbine for two operational conditions, validating the results of this research.

Suggested Citation

  • Botero-Bolívar, Laura & Marino, Oscar A. & Venner, Cornelis H. & de Santana, Leandro D. & Ferrer, Esteban, 2024. "Low-cost wind turbine aeroacoustic predictions using actuator lines," Renewable Energy, Elsevier, vol. 227(C).
    • Handle: RePEc:eee:renene:v:227:y:2024:i:c:s096014812400541x
    DOI: 10.1016/j.renene.2024.120476
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812400541X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120476?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tadamasa, A. & Zangeneh, M., 2011. "Numerical prediction of wind turbine noise," Renewable Energy, Elsevier, vol. 36(7), pages 1902-1912.
    2. Zhu, Wei Jun & Shen, Wen Zhong & Barlas, Emre & Bertagnolio, Franck & Sørensen, Jens Nørkær, 2018. "Wind turbine noise generation and propagation modeling at DTU Wind Energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 133-150.
    3. 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.
    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. 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. Cao, Jiufa & Nyborg, Camilla Marie & Feng, Ju & Hansen, Kurt S. & Bertagnolio, Franck & Fischer, Andreas & Sørensen, Thomas & Shen, Wen Zhong, 2022. "A new multi-fidelity flow-acoustics simulation framework for wind farm application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    3. Hui Tang & Yulong Lei & Xingzhong Li, 2019. "An Acoustic Source Model for Applications in Low Mach Number Turbulent Flows, Such as a Large-Scale Wind Turbine Blade," Energies, MDPI, vol. 12(23), pages 1-18, December.
    4. Mohamed, M.H., 2014. "Aero-acoustics noise evaluation of H-rotor Darrieus wind turbines," Energy, Elsevier, vol. 65(C), pages 596-604.
    5. Shen, Wen Zhong & Zhu, Wei Jun & Barlas, Emre & Li, Ye, 2019. "Advanced flow and noise simulation method for wind farm assessment in complex terrain," Renewable Energy, Elsevier, vol. 143(C), pages 1812-1825.
    6. Xinkai Li & Ke Yang & Hao Hu & Xiaodong Wang & Shun Kang, 2019. "Effect of Tailing-Edge Thickness on Aerodynamic Noise for Wind Turbine Airfoil," Energies, MDPI, vol. 12(2), pages 1-25, January.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Mounir Alliche & Redha Rebhi & Noureddine Kaid & Younes Menni & Houari Ameur & Mustafa Inc & Hijaz Ahmad & Giulio Lorenzini & Ayman A. Aly & Sayed K. Elagan & Bassem F. Felemban, 2021. "Estimation of the Wind Energy Potential in Various North Algerian Regions," Energies, MDPI, vol. 14(22), pages 1-13, November.
    12. 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.
    13. Makarewicz, R. & Gołebiewski, R., 2019. "The Influence of a low level jet on the thumps generated by a wind turbine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 337-342.
    14. 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.
    15. 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.
    16. Shen, Wen Zhong & Yunakov, Nikolay & Cao, Jiu Fa & Zhu, Wei Jun, 2022. "Development of a general sound source model for wind farm application," Renewable Energy, Elsevier, vol. 198(C), pages 380-388.
    17. Merino-Martínez, Roberto & Pieren, Reto & Schäffer, Beat, 2021. "Holistic approach to wind turbine noise: From blade trailing-edge modifications to annoyance estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    18. 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.
    19. 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.
    20. Lüth, Alexandra & Werner, Yannick & Egging-Bratseth, Ruud & Kazempour, Jalal, 2024. "Electrolysis as a flexibility resource on energy islands: The case of the North Sea," Energy Policy, Elsevier, vol. 185(C).

    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:eee:renene:v:227:y:2024:i:c:s096014812400541x. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.