IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i13p2519-d244482.html
   My bibliography  Save this article

Effect of Platform Motion on Aerodynamic Performance and Aeroelastic Behavior of Floating Offshore Wind Turbine Blades

Author

Listed:
  • Youngjin Kim

    (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea)

  • Oh Joon Kwon

    (Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea)

Abstract

In the present study, a numerical framework for predicting the aerodynamic performance and the aeroelastic behavior of floating offshore wind turbine rotor blades involving platform motion was developed. For this purpose, the aerodynamic and structural analyses were conducted simultaneously in a tightly coupled manner by exchanging the information about the aerodynamic loads and the elastic blade deformations at every time step. The elastic behavior of the turbine rotor blades was described by adopting a structural model based on the Euler-Bernoulli beam. The aerodynamic loads by the rotor blades were evaluated by adopting a blade element momentum theory. The numerical simulations were conducted when the platform of the wind turbine independently moves in each of the six degrees-of-freedom directions consisting of heave, sway, surge, roll, pitch, and yaw. It was observed that flexible blades exhibit complicated vibratory behaviors when they are excited by the aerodynamic, inertia, and gravitational forces simultaneously. It was found that the load variation caused by the platform surge or pitch motion has a significant influence on the flapwise and torsional deformations of the rotor blades. The torsional deformation mainly occurs in the nose-down direction, and results in a reduction of the aerodynamic loads. It was also found that the flapwise root bending moment is mainly influenced by the platform surge and pitch motions. On the other hand, the edgewise bending moment is mostly dictated by the gravitational force, but is not affected much by the platform motion.

Suggested Citation

  • Youngjin Kim & Oh Joon Kwon, 2019. "Effect of Platform Motion on Aerodynamic Performance and Aeroelastic Behavior of Floating Offshore Wind Turbine Blades," Energies, MDPI, vol. 12(13), pages 1-24, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2519-:d:244482
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/13/2519/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/13/2519/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tran, Thanh Toan & Kim, Dong-Hyun, 2016. "Fully coupled aero-hydrodynamic analysis of a semi-submersible FOWT using a dynamic fluid body interaction approach," Renewable Energy, Elsevier, vol. 92(C), pages 244-261.
    2. Yu, Dong Ok & Kwon, Oh Joon, 2014. "Predicting wind turbine blade loads and aeroelastic response using a coupled CFD–CSD method," Renewable Energy, Elsevier, vol. 70(C), pages 184-196.
    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. Zhang, Buen & Jin, Yaqing & Cheng, Shyuan & Zheng, Yuan & Chamorro, Leonardo P., 2022. "On the dynamics of a model wind turbine under passive tower oscillations," Applied Energy, Elsevier, vol. 311(C).
    2. Jianhua Zhang & Won-Hee Kang & Ke Sun & Fushun Liu, 2019. "Reliability-Based Serviceability Limit State Design of a Jacket Substructure for an Offshore Wind Turbine," Energies, MDPI, vol. 12(14), pages 1-16, July.
    3. Huanqiang, Zhang & Xiaoxia, Gao & Hongkun, Lu & Qiansheng, Zhao & Xiaoxun, Zhu & Yu, Wang & Fei, Zhao, 2024. "Investigation of a new 3D wake model of offshore floating wind turbines subjected to the coupling effects of wind and wave," Applied Energy, Elsevier, vol. 365(C).
    4. Jiaping Cui & Zhigang Cao & Pin Lyu & Huaiwu Peng & Quankun Li & Ruixian Ma & Yingming Liu, 2024. "Research on the Blades and Performance of Semi-Submersible Wind Turbines with Different Capacities," Energies, MDPI, vol. 17(13), pages 1-19, July.

    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. Choe, Do-Eun & Ramezani, Mahyar, 2025. "Fragility estimation for performance-based structural design of floating offshore wind turbine components," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    2. Zhou, Yang & Xiao, Qing & Liu, Yuanchuan & Incecik, Atilla & Peyrard, Christophe & Wan, Decheng & Pan, Guang & Li, Sunwei, 2022. "Exploring inflow wind condition on floating offshore wind turbine aerodynamic characterisation and platform motion prediction using blade resolved CFD simulation," Renewable Energy, Elsevier, vol. 182(C), pages 1060-1079.
    3. Guo, Yize & Wang, Xiaodong & Mei, Yuanhang & Ye, Zhaoliang & Guo, Xiaojiang, 2022. "Effect of coupled platform pitch-surge motions on the aerodynamic characters of a horizontal floating offshore wind turbine," Renewable Energy, Elsevier, vol. 196(C), pages 278-297.
    4. Lu Wang & Amy Robertson & Jason Jonkman & Yi-Hsiang Yu, 2020. "Uncertainty Assessment of CFD Investigation of the Nonlinear Difference-Frequency Wave Loads on a Semisubmersible FOWT Platform," Sustainability, MDPI, vol. 13(1), pages 1-25, December.
    5. Huang, Haoda & Liu, Qingsong & Yue, Minnan & Miao, Weipao & Wang, Peilin & Li, Chun, 2023. "Fully coupled aero-hydrodynamic analysis of a biomimetic fractal semi-submersible floating offshore wind turbine under wind-wave excitation conditions," Renewable Energy, Elsevier, vol. 203(C), pages 280-300.
    6. 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).
    7. 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.
    8. Yang Zhou & Qing Xiao & Yuanchuan Liu & Atilla Incecik & Christophe Peyrard & Sunwei Li & Guang Pan, 2019. "Numerical Modelling of Dynamic Responses of a Floating Offshore Wind Turbine Subject to Focused Waves," Energies, MDPI, vol. 12(18), pages 1-31, September.
    9. Deng, Sijia & Liu, Yingyi & Ning, Dezhi, 2023. "Fully coupled aero-hydrodynamic modelling of floating offshore wind turbines in nonlinear waves using a direct time-domain approach," Renewable Energy, Elsevier, vol. 216(C).
    10. Liu, Yuanchuan & Xiao, Qing & Incecik, Atilla & Peyrard, Christophe & Wan, Decheng, 2017. "Establishing a fully coupled CFD analysis tool for floating offshore wind turbines," Renewable Energy, Elsevier, vol. 112(C), pages 280-301.
    11. Rizwan Haider & Xin Li & Wei Shi & Zaibin Lin & Qing Xiao & Haisheng Zhao, 2024. "Review of Computational Fluid Dynamics in the Design of Floating Offshore Wind Turbines," Energies, MDPI, vol. 17(17), pages 1-37, August.
    12. Haider, Rizwan & Shi, Wei & Cai, Yefeng & Lin, Zaibin & Li, Xin & Hu, Zhiqiang, 2024. "A comprehensive numerical model for aero-hydro-mooring analysis of a floating offshore wind turbine," Renewable Energy, Elsevier, vol. 237(PC).
    13. Gilberto Santo & Mathijs Peeters & Wim Van Paepegem & Joris Degroote, 2019. "Numerical Investigation of the Effect of Tower Dam and Rotor Misalignment on Performance and Loads of a Large Wind Turbine in the Atmospheric Boundary Layer," Energies, MDPI, vol. 12(7), pages 1-19, March.
    14. Shen, Xin & Chen, Jinge & Hu, Ping & Zhu, Xiaocheng & Du, Zhaohui, 2018. "Study of the unsteady aerodynamics of floating wind turbines," Energy, Elsevier, vol. 145(C), pages 793-809.
    15. Xiaoling Liang & Zheng Li & Xingxing Han & Shifeng Fu & Weijun Zhu & Tianmei Pu & Zhenye Sun & Hua Yang & Wenzhong Shen, 2024. "Study on Aerodynamic Performance and Wake Characteristics of a Floating Offshore Wind Turbine in Wind–Wave Coupling Field," Sustainability, MDPI, vol. 16(13), pages 1-20, June.
    16. Santo, G. & Peeters, M. & Van Paepegem, W. & Degroote, J., 2019. "Dynamic load and stress analysis of a large horizontal axis wind turbine using full scale fluid-structure interaction simulation," Renewable Energy, Elsevier, vol. 140(C), pages 212-226.
    17. Mustafa Kaya, 2019. "A CFD Based Application of Support Vector Regression to Determine the Optimum Smooth Twist for Wind Turbine Blades," Sustainability, MDPI, vol. 11(16), pages 1-25, August.
    18. Jiaying Wu & Zhenye Sun & Weijun Zhu & Shifeng Fu & Chang Xu & Wenzhong Shen, 2025. "A New Modified Blade Element Momentum Method for Calculating the Aerodynamic Performance of a Wind Turbine in Yaw," Energies, MDPI, vol. 18(5), pages 1-21, February.
    19. Zhang, Dongqin & Liu, Zhenqing & Li, Weipeng & Hu, Gang, 2023. "LES simulation study of wind turbine aerodynamic characteristics with fluid-structure interaction analysis considering blade and tower flexibility," Energy, Elsevier, vol. 282(C).
    20. Dell’Edera, Oronzo & Niosi, Francesco & Casalone, Pietro & Bonfanti, Mauro & Paduano, Bruno & Mattiazzo, Giuliana, 2024. "Understanding wave energy converters dynamics: High-fidelity modeling and validation of a moored floating body," Applied Energy, Elsevier, vol. 376(PA).

    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:12:y:2019:i:13:p:2519-:d:244482. 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.