IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v240y2025ics0960148124021992.html
   My bibliography  Save this article

Quantification of air compressibility on large wind turbine blades using Computational Fluid Dynamics

Author

Listed:
  • Yin, Jiamin
  • Shen, Wen Zhong
  • Cao, Jiufa
  • Zhu, Wei Jun
  • Sun, Zhenye

Abstract

Current simulations of wind turbines routinely use an incompressible flow solver which assume a constant air density, while the development of large wind turbines increases the blade tip speed, which breaks the incompressible flow assumption. The present paper aims to investigate the effect of air compressibility on large wind turbine blades and examine the Prandtl-Glauert correction on air compressibility. Based on the IEA 15 MW wind turbine, Computational Fluid Dynamics is used to study the effect of air compressibility on the aerodynamic performance under various operating conditions, including different pitch angles and rotor speeds. Results show that the air compressibility can increase both normal and tangential forces at 70%–95 % radii with 2.3 % and 1 % at the rated wind speed, respectively. In addition, the effect of compressibility on tangential force and power becomes significant at high wind speeds when the blades are pitched. The Prandtl-Glauert correction can predict the blade normal force with a good accuracy but can't accurately predict the blade tangential force, which indicates the necessity of a better correction for wind turbine blade forces in designing and controlling large wind turbines.

Suggested Citation

  • Yin, Jiamin & Shen, Wen Zhong & Cao, Jiufa & Zhu, Wei Jun & Sun, Zhenye, 2025. "Quantification of air compressibility on large wind turbine blades using Computational Fluid Dynamics," Renewable Energy, Elsevier, vol. 240(C).
  • Handle: RePEc:eee:renene:v:240:y:2025:i:c:s0960148124021992
    DOI: 10.1016/j.renene.2024.122131
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124021992
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2024.122131?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. Liao, Ding & Zhu, Shun-Peng & Correia, José A.F.O. & De Jesus, Abílio M.P. & Veljkovic, Milan & Berto, Filippo, 2022. "Fatigue reliability of wind turbines: historical perspectives, recent developments and future prospects," Renewable Energy, Elsevier, vol. 200(C), pages 724-742.
    2. Yuqiao Zheng & Yongyong Cao & Chengcheng Zhang & Zhe He, 2017. "Structural Optimization Design of Large Wind Turbine Blade considering Aeroelastic Effect," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-7, October.
    3. Zhu, Wei Jun & Shen, Wen Zhong & Sørensen, Jens Nørkær, 2014. "Integrated airfoil and blade design method for large wind turbines," Renewable Energy, Elsevier, vol. 70(C), pages 172-183.
    4. Yan, Chi & Archer, Cristina L., 2018. "Assessing compressibility effects on the performance of large horizontal-axis wind turbines," Applied Energy, Elsevier, vol. 212(C), pages 33-45.
    5. Liu, Yichao & Li, Sunwei & Yi, Qian & Chen, Daoyi, 2016. "Developments in semi-submersible floating foundations supporting wind turbines: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 433-449.
    6. Dai, Juchuan & Li, Mimi & Chen, Huanguo & He, Tao & Zhang, Fan, 2022. "Progress and challenges on blade load research of large-scale wind turbines," Renewable Energy, Elsevier, vol. 196(C), pages 482-496.
    7. Wood, D.H., 1997. "Some effects of compressibility on small horizontal-axis wind turbines," Renewable Energy, Elsevier, vol. 10(1), pages 11-17.
    8. Micallef, Daniel & Rezaeiha, Abdolrahim, 2021. "Floating offshore wind turbine aerodynamics: Trends and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    9. Wang, Lin & Liu, Xiongwei & Kolios, Athanasios, 2016. "State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 195-210.
    10. Li, Zhiguo & Gao, Zhiying & Dai, Yuanjun & Wen, Caifeng & Zhang, Liru & Wang, Jianwen, 2023. "Unsteady aeroelastic performance analysis for large-scale megawatt wind turbines based on a novel aeroelastic coupling model," Renewable Energy, Elsevier, vol. 218(C).
    11. Roth-Johnson, Perry & Wirz, Richard E. & Lin, Edward, 2014. "Structural design of spars for 100-m biplane wind turbine blades," Renewable Energy, Elsevier, vol. 71(C), pages 133-155.
    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. Shafiqur Rehman & Md. Mahbub Alam & Luai M. Alhems & M. Mujahid Rafique, 2018. "Horizontal Axis Wind Turbine Blade Design Methodologies for Efficiency Enhancement—A Review," Energies, MDPI, vol. 11(3), pages 1-34, February.
    2. Truong, Hoai Vu Anh & Dang, Tri Dung & Vo, Cong Phat & Ahn, Kyoung Kwan, 2022. "Active control strategies for system enhancement and load mitigation of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    3. Shine Win Naung & Mohammad Rahmati & Htet Shine, 2025. "High-Fidelity Aeroelastic Analysis of a Wind Turbine Using a Nonlinear Frequency-Domain Solution Method," Energies, MDPI, vol. 18(5), pages 1-20, February.
    4. Huang, Wei & Tang, Rongjiang & Ma, Huihuan, 2024. "The review of Vortex lattice method for offshore wind turbines," Renewable Energy, Elsevier, vol. 236(C).
    5. Ye, Shitong & Wang, Qiang & Mu, Yanfei & Luo, Kun & Fan, Jianren, 2024. "Loads and fatigue characteristics assessment of wind farm based on dynamic wake meandering model," Renewable Energy, Elsevier, vol. 236(C).
    6. Pustina, L. & Lugni, C. & Bernardini, G. & Serafini, J. & Gennaretti, M., 2020. "Control of power generated by a floating offshore wind turbine perturbed by sea waves," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    7. Meng, Hang & Lien, Fue-Sang & Yee, Eugene & Shen, Jingfang, 2020. "Modelling of anisotropic beam for rotating composite wind turbine blade by using finite-difference time-domain (FDTD) method," Renewable Energy, Elsevier, vol. 162(C), pages 2361-2379.
    8. Zhang, Zhihao & Yang, Haoran & Wang, Runzhong & Zhang, Kai & Zhou, Dai & Zhu, Hongbo & Zhang, Puyang & Han, Zhaolong & Cao, Yong & Tu, Jiahuang, 2025. "Effects of combined platform rotation and pitch motions on aerodynamic loading and wake recovery of a single-point moored twin-rotor floating wind turbine," Energy, Elsevier, vol. 320(C).
    9. Li, Shoutu & Chen, Qin & Li, Ye & Pröbsting, Stefan & Yang, Congxin & Zheng, Xiaobo & Yang, Yannian & Zhu, Weijun & Shen, Wenzhong & Wu, Faming & Li, Deshun & Wang, Tongguang & Ke, Shitang, 2022. "Experimental investigation on noise characteristics of small scale vertical axis wind turbines in urban environments," Renewable Energy, Elsevier, vol. 200(C), pages 970-982.
    10. Xu, Zongyuan & Gao, Xiaoxia & Zhang, Huanqiang & Lv, Tao & Han, Zhonghe & Zhu, Xiaoxun & Wang, Yu, 2023. "Analysis of the anisotropy aerodynamic characteristics of downstream wind turbine considering the 3D wake expansion based on coupling method," Energy, Elsevier, vol. 263(PD).
    11. Lapa, Gabriel Vicentin Pereira & Gay Neto, Alfredo & Franzini, Guilherme Rosa, 2023. "Effects of blade torsion on IEA 15MW turbine rotor operation," Renewable Energy, Elsevier, vol. 219(P2).
    12. Yan, Chi & Archer, Cristina L., 2018. "Assessing compressibility effects on the performance of large horizontal-axis wind turbines," Applied Energy, Elsevier, vol. 212(C), pages 33-45.
    13. Zhu, Wei Jun & Shen, Wen Zhong & Sørensen, Jens Nørkær & Yang, Hua, 2017. "Verification of a novel innovative blade root design for wind turbines using a hybrid numerical method," Energy, Elsevier, vol. 141(C), pages 1661-1670.
    14. Baniassadi, Amir & Shirinbakhsh, Mehrdad & Torabi, Farschad, 2017. "Multivariate optimization of off-grid wind turbines with variable demand - Case study of a remote commercial building," Renewable Energy, Elsevier, vol. 101(C), pages 1021-1029.
    15. Wang, Xinbao & Cai, Chang & Cai, Shang-Gui & Wang, Tengyuan & Wang, Zekun & Song, Juanjuan & Rong, Xiaomin & Li, Qing'an, 2023. "A review of aerodynamic and wake characteristics of floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    16. Zhang, Lijun & Li, Ye & Xu, Wenhao & Gao, Zhiteng & Fang, Long & Li, Rongfu & Ding, Boyin & Zhao, Bin & Leng, Jun & He, Fenglan, 2022. "Systematic analysis of performance and cost of two floating offshore wind turbines with significant interactions," Applied Energy, Elsevier, vol. 321(C).
    17. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    18. Kaminski, Meghan & Simpson, Juliet & Loth, Eric & Fingersh, Lee Jay & Scholbrock, Andy & Johnson, Nick & Johnson, Kathryn & Pao, Lucy & Griffith, Todd, 2023. "Gravo-aeroelastically-scaled demonstrator field tests to represent blade response of a flexible extreme-scale downwind turbine," Renewable Energy, Elsevier, vol. 218(C).
    19. Win Naung, Shine & Nakhchi, Mahdi Erfanian & Rahmati, Mohammad, 2021. "High-fidelity CFD simulations of two wind turbines in arrays using nonlinear frequency domain solution method," Renewable Energy, Elsevier, vol. 174(C), pages 984-1005.
    20. Haojie Kang & Bofeng Xu & Xiang Shen & Zhen Li & Xin Cai & Zhiqiang Hu, 2023. "Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition," Energies, MDPI, vol. 16(6), pages 1-13, March.

    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:240:y:2025:i:c:s0960148124021992. 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.