IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i12p3341-d186714.html
   My bibliography  Save this article

Stochastic Dynamic Response Analysis of a 10 MW Tension Leg Platform Floating Horizontal Axis Wind Turbine

Author

Listed:
  • Tao Luo

    (State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • De Tian

    (State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Ruoyu Wang

    (State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Caicai Liao

    (CAS Key Laboratory of Wind Energy Utilization, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

The dynamic response of floating horizontal axis wind turbines (FHWATs) are affected by the viscous and inertia effects. In free decay motion, viscous drag reduces the amplitude of pitch and roll fluctuation, the quasi-static mooring system overestimates the resonant amplitude values of pitch and roll. In this paper, the quasi-static mooring system is modified by introducing linear damping and quadratic damping. The dynamic response characteristics of the FHAWT modified model of the DTU 10 MW tension leg platform (TLP) were studied. Dynamic response of the blade was mainly caused by wind load, while the wave increased the blade short-term damage equivalent load. The tower base bending moment was affected by inclination of the tower and the misaligned angle β wave between wind and wave. Except the yaw motion, other degrees of freedom motions of the TLP were substantially affected by β wave . Ultimate tension of the mooring system was related to the displacement caused by pitch and roll motions, and standard deviation of the tension was significantly affected by the wave frequency response. Under the action of wave load, the viscous drag would stimulate the mooring system and increase the resonance of the platform motion.

Suggested Citation

  • Tao Luo & De Tian & Ruoyu Wang & Caicai Liao, 2018. "Stochastic Dynamic Response Analysis of a 10 MW Tension Leg Platform Floating Horizontal Axis Wind Turbine," Energies, MDPI, vol. 11(12), pages 1-24, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3341-:d:186714
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/12/3341/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/12/3341/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Xiong & Lu, Cheng & Li, Gangqiang & Godbole, Ajit & Chen, Yan, 2017. "Effects of aerodynamic damping on the tower load of offshore horizontal axis wind turbines," Applied Energy, Elsevier, vol. 204(C), pages 1101-1114.
    2. Danao, Louis Angelo & Edwards, Jonathan & Eboibi, Okeoghene & Howell, Robert, 2014. "A numerical investigation into the influence of unsteady wind on the performance and aerodynamics of a vertical axis wind turbine," Applied Energy, Elsevier, vol. 116(C), pages 111-124.
    3. Farrugia, R. & Sant, T. & Micallef, D., 2016. "A study on the aerodynamics of a floating wind turbine rotor," Renewable Energy, Elsevier, vol. 86(C), pages 770-784.
    4. Shen, Macheng & Hu, Zhiqiang & Liu, Geliang, 2016. "Dynamic response and viscous effect analysis of a TLP-type floating wind turbine using a coupled aero-hydro-mooring dynamic code," Renewable Energy, Elsevier, vol. 99(C), pages 800-812.
    5. Shu, Z.R. & Li, Q.S. & Chan, P.W., 2015. "Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function," Applied Energy, Elsevier, vol. 156(C), pages 362-373.
    6. Salehyar, Sara & Zhu, Qiang, 2015. "Aerodynamic dissipation effects on the rotating blades of floating wind turbines," Renewable Energy, Elsevier, vol. 78(C), pages 119-127.
    7. Liu, Xiong & Lu, Cheng & Liang, Shi & Godbole, Ajit & Chen, Yan, 2017. "Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades," Applied Energy, Elsevier, vol. 185(P2), pages 1109-1119.
    8. Sun, Hao & Luo, Xing & Wang, Jihong, 2015. "Feasibility study of a hybrid wind turbine system – Integration with compressed air energy storage," Applied Energy, Elsevier, vol. 137(C), pages 617-628.
    9. Gharali, Kobra & Johnson, David A., 2012. "Numerical modeling of an S809 airfoil under dynamic stall, erosion and high reduced frequencies," Applied Energy, Elsevier, vol. 93(C), pages 45-52.
    10. Esteban, Miguel & Leary, David, 2012. "Current developments and future prospects of offshore wind and ocean energy," Applied Energy, Elsevier, vol. 90(1), pages 128-136.
    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. Jinghua Lin & You-lin Xu & Yong Xia, 2019. "Structural Analysis of Large-Scale Vertical Axis Wind Turbines Part II: Fatigue and Ultimate Strength Analyses," Energies, MDPI, vol. 12(13), pages 1-18, July.
    2. Zi Lin & Xiaolei Liu, 2020. "Assessment of Wind Turbine Aero-Hydro-Servo-Elastic Modelling on the Effects of Mooring Line Tension via Deep Learning," Energies, MDPI, vol. 13(9), pages 1-21, May.
    3. Lorenzo Alessi & José A. F. O. Correia & Nicholas Fantuzzi, 2019. "Initial Design Phase and Tender Designs of a Jacket Structure Converted into a Retrofitted Offshore Wind Turbine," Energies, MDPI, vol. 12(4), pages 1-28, February.

    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. Liu, Xiong & Lu, Cheng & Li, Gangqiang & Godbole, Ajit & Chen, Yan, 2017. "Effects of aerodynamic damping on the tower load of offshore horizontal axis wind turbines," Applied Energy, Elsevier, vol. 204(C), pages 1101-1114.
    2. Liu, Xiong & Lu, Cheng & Liang, Shi & Godbole, Ajit & Chen, Yan, 2017. "Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades," Applied Energy, Elsevier, vol. 185(P2), pages 1109-1119.
    3. Wekesa, David Wafula & Wang, Cong & Wei, Yingjie & Danao, Louis Angelo M., 2017. "Analytical and numerical investigation of unsteady wind for enhanced energy capture in a fluctuating free-stream," Energy, Elsevier, vol. 121(C), pages 854-864.
    4. Wen, Binrong & Jiang, Zhihao & Li, Zhanwei & Peng, Zhike & Dong, Xingjian & Tian, Xinliang, 2022. "On the aerodynamic loading effect of a model Spar-type floating wind turbine: An experimental study," Renewable Energy, Elsevier, vol. 184(C), pages 306-319.
    5. Rezaeiha, Abdolrahim & Micallef, Daniel, 2021. "Wake interactions of two tandem floating offshore wind turbines: CFD analysis using actuator disc model," Renewable Energy, Elsevier, vol. 179(C), pages 859-876.
    6. Liu, Jian & Zhu, Wenqing & Xiao, Zhixiang & Sun, Haisheng & Huang, Yong & Liu, Zhitao, 2018. "DDES with adaptive coefficient for stalled flows past a wind turbine airfoil," Energy, Elsevier, vol. 161(C), pages 846-858.
    7. Lidong Zhang & Kaiqi Zhu & Junwei Zhong & Ling Zhang & Tieliu Jiang & Shaohua Li & Zhongbin Zhang, 2018. "Numerical Investigations of the Effects of the Rotating Shaft and Optimization of Urban Vertical Axis Wind Turbines," Energies, MDPI, vol. 11(7), pages 1-25, July.
    8. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "A numerical study on the angle of attack to the blade of a horizontal-axis offshore floating wind turbine under static and dynamic yawed conditions," Energy, Elsevier, vol. 168(C), pages 1138-1156.
    9. Alkhalidi, Mohamad A. & Al-Dabbous, Shoug Kh. & Neelamani, S. & Aldashti, Hassan A., 2019. "Wind energy potential at coastal and offshore locations in the state of Kuwait," Renewable Energy, Elsevier, vol. 135(C), pages 529-539.
    10. Dai, Juchuan & Yang, Xin & Hu, Wei & Wen, Li & Tan, Yayi, 2018. "Effect investigation of yaw on wind turbine performance based on SCADA data," Energy, Elsevier, vol. 149(C), pages 684-696.
    11. Schweizer, Joerg & Antonini, Alessandro & Govoni, Laura & Gottardi, Guido & Archetti, Renata & Supino, Enrico & Berretta, Claudia & Casadei, Carlo & Ozzi, Claudia, 2016. "Investigating the potential and feasibility of an offshore wind farm in the Northern Adriatic Sea," Applied Energy, Elsevier, vol. 177(C), pages 449-463.
    12. Shu, Z.R. & Li, Q.S. & He, Y.C. & Chan, P.W., 2016. "Observations of offshore wind characteristics by Doppler-LiDAR for wind energy applications," Applied Energy, Elsevier, vol. 169(C), pages 150-163.
    13. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Peng, Zhike & Zhang, Wenming, 2017. "Influences of surge motion on the power and thrust characteristics of an offshore floating wind turbine," Energy, Elsevier, vol. 141(C), pages 2054-2068.
    14. Wen, Binrong & Dong, Xingjian & Tian, Xinliang & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2018. "The power performance of an offshore floating wind turbine in platform pitching motion," Energy, Elsevier, vol. 154(C), pages 508-521.
    15. Meng, Qingshen & Hua, Xugang & Chen, Chao & Zhou, Shuai & Liu, Feipeng & Chen, Zhengqing, 2022. "Analytical study on the aerodynamic and hydrodynamic damping of the platform in an operating spar-type floating offshore wind turbine," Renewable Energy, Elsevier, vol. 198(C), pages 772-788.
    16. Li, Yan & Zhu, Qiang & Liu, Liqin & Tang, Yougang, 2018. "Transient response of a SPAR-type floating offshore wind turbine with fractured mooring lines," Renewable Energy, Elsevier, vol. 122(C), pages 576-588.
    17. Bakhtiari, Ehsan & Gharali, Kobra & Chini, Farshid & Al-Haq, Armughan & Nathwani, Jatin, 2023. "Slip influence on a blade performance under different pitch-oscillating motion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    18. Liu, Xiong & Liang, Shi & Li, Gangqiang & Godbole, Ajit & Lu, Cheng, 2020. "An improved dynamic stall model and its effect on wind turbine fatigue load prediction," Renewable Energy, Elsevier, vol. 156(C), pages 117-130.
    19. Li, Liang & Gao, Yan & Hu, Zhiqiang & Yuan, Zhiming & Day, Sandy & Li, Haoran, 2018. "Model test research of a semisubmersible floating wind turbine with an improved deficient thrust force correction approach," Renewable Energy, Elsevier, vol. 119(C), pages 95-105.
    20. Li, Qing'an & Kamada, Yasunari & Maeda, Takao & Nishida, Yusuke, 2017. "Experimental investigations of boundary layer impact on the airfoil aerodynamic forces of Horizontal Axis Wind Turbine in turbulent inflows," Energy, Elsevier, vol. 135(C), pages 799-810.

    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:11:y:2018:i:12:p:3341-:d:186714. 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.