IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v178y2021icp1421-1434.html
   My bibliography  Save this article

Numerically efficient fatigue life prediction of offshore wind turbines using aerodynamic decoupling

Author

Listed:
  • Chen, Chao
  • Duffour, Philippe
  • Fromme, Paul
  • Hua, Xugang

Abstract

The fatigue life prediction for offshore wind turbine support structures is computationally demanding, requiring the consideration of a large number of combinations of environmental conditions and load cases. In this study, a computationally efficient methodology combining aerodynamic decoupling and modal reduction techniques is developed for fatigue life prediction. Aerodynamic decoupling is implemented to separate the support structure and rotor-nacelle assembly. The rotor dynamics were modelled using an aerodynamic damping matrix that accurately captures the aerodynamic damping coupling between the fore-aft and side-side motions. Soil-structure interaction is modelled using p-y curves, and wave loading calculated based on linear irregular waves and Morison's equation at a European (North Sea) site. A modal reduction technique is applied to significantly reduce the required number of degrees of freedom, allowing the efficient and accurate calculation of hotspot stresses and fatigue damage accumulation. The modal model was verified against a fully coupled model for a case-study, monopile supported offshore wind turbine in terms of response prediction and fatigue life evaluation. The modal model accurately predicts fatigue life (within 2%) for a range of parameters at a fraction of computational cost (0.5%) compared to the fully coupled model.

Suggested Citation

  • Chen, Chao & Duffour, Philippe & Fromme, Paul & Hua, Xugang, 2021. "Numerically efficient fatigue life prediction of offshore wind turbines using aerodynamic decoupling," Renewable Energy, Elsevier, vol. 178(C), pages 1421-1434.
    • Handle: RePEc:eee:renene:v:178:y:2021:i:c:p:1421-1434
    DOI: 10.1016/j.renene.2021.06.115
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148121009812
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2021.06.115?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. Rezaei, Ramtin & Fromme, Paul & Duffour, Philippe, 2018. "Fatigue life sensitivity of monopile-supported offshore wind turbines to damping," Renewable Energy, Elsevier, vol. 123(C), pages 450-459.
    2. Dong, Wenbin & Moan, Torgeir & Gao, Zhen, 2012. "Fatigue reliability analysis of the jacket support structure for offshore wind turbine considering the effect of corrosion and inspection," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 11-27.
    3. Marino, Enzo & Giusti, Alessandro & Manuel, Lance, 2017. "Offshore wind turbine fatigue loads: The influence of alternative wave modeling for different turbulent and mean winds," Renewable Energy, Elsevier, vol. 102(PA), pages 157-169.
    4. Häfele, Jan & Hübler, Clemens & Gebhardt, Cristian Guillermo & Rolfes, Raimund, 2018. "A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures," Renewable Energy, Elsevier, vol. 118(C), pages 99-112.
    5. 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.
    6. Velarde, Joey & Kramhøft, Claus & Sørensen, John Dalsgaard, 2019. "Global sensitivity analysis of offshore wind turbine foundation fatigue loads," Renewable Energy, Elsevier, vol. 140(C), pages 177-189.
    7. Koukoura, Christina & Natarajan, Anand & Vesth, Allan, 2015. "Identification of support structure damping of a full scale offshore wind turbine in normal operation," Renewable Energy, Elsevier, vol. 81(C), pages 882-895.
    8. Horn, Jan-Tore & Leira, Bernt J., 2019. "Fatigue reliability assessment of offshore wind turbines with stochastic availability," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    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. Pan, Lin & Xiong, Yong & Zhu, Ze & Wang, Leichong, 2022. "Research on variable pitch control strategy of direct-driven offshore wind turbine using KELM wind speed soft sensor," Renewable Energy, Elsevier, vol. 184(C), pages 1002-1017.
    2. Ren, Chao & Xing, Yihan, 2023. "AK-MDAmax: Maximum fatigue damage assessment of wind turbine towers considering multi-location with an active learning approach," Renewable Energy, Elsevier, vol. 215(C).

    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. Cong, Shuai & James Hu, Sau-Lon & Li, Hua-Jun, 2022. "Using incomplete complex modes for model updating of monopiled offshore wind turbines," Renewable Energy, Elsevier, vol. 181(C), pages 522-534.
    2. 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.
    3. Chen, Yisu & Wu, Di & Yu, Yuguo & Gao, Wei, 2021. "Do cyclone impacts really matter for the long-term performance of an offshore wind turbine?," Renewable Energy, Elsevier, vol. 178(C), pages 184-201.
    4. Ju, Shen-Haw & Su, Feng-Chien & Ke, Yi-Pei & Xie, Min-Hsuan, 2019. "Fatigue design of offshore wind turbine jacket-type structures using a parallel scheme," Renewable Energy, Elsevier, vol. 136(C), pages 69-78.
    5. Shittu, Abdulhakim Adeoye & Mehmanparast, Ali & Hart, Phil & Kolios, Athanasios, 2021. "Comparative study between S-N and fracture mechanics approach on reliability assessment of offshore wind turbine jacket foundations," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    6. Renjie Mo & Haigui Kang & Miao Li & Xuanlie Zhao, 2017. "Seismic Fragility Analysis of Monopile Offshore Wind Turbines under Different Operational Conditions," Energies, MDPI, vol. 10(7), pages 1-22, July.
    7. Robert Fontecha & Frank Kemper & Markus Feldmann & Stefan Witter & Ralf Schelenz, 2022. "Along-Wind Aerodynamic Damping of Wind Turbine Towers: Determination by Wind Tunnel Tests and Impact on Tower Lifetime," Energies, MDPI, vol. 15(6), pages 1-19, March.
    8. Jijian Lian & Ou Cai & Xiaofeng Dong & Qi Jiang & Yue Zhao, 2019. "Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
    9. Yeter, B. & Garbatov, Y. & Guedes Soares, C., 2020. "Risk-based maintenance planning of offshore wind turbine farms," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    10. Hegseth, John Marius & Bachynski, Erin E. & Leira, Bernt J., 2021. "Effect of environmental modelling and inspection strategy on the optimal design of floating wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    11. Wang, L. & Kolios, A. & Liu, X. & Venetsanos, D. & Rui, C., 2022. "Reliability of offshore wind turbine support structures: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    12. Ramezani, Mahyar & Choe, Do-Eun & Heydarpour, Khashayar & Koo, Bonjun, 2023. "Uncertainty models for the structural design of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    13. Mo, Renjie & Cao, Renjing & Liu, Minghou & Li, Miao, 2021. "Effect of ground motion directionality on seismic dynamic responses of monopile offshore wind turbines," Renewable Energy, Elsevier, vol. 175(C), pages 179-199.
    14. Liu, Zhenqing & Wang, Yize & Nyangi, Patrice & Zhu, Zhiwen & Hua, Xugang, 2021. "Proposal of a novel GPU-accelerated lifetime optimization method for onshore wind turbine dampers under real wind distribution," Renewable Energy, Elsevier, vol. 168(C), pages 516-543.
    15. Rezaei, Ramtin & Fromme, Paul & Duffour, Philippe, 2018. "Fatigue life sensitivity of monopile-supported offshore wind turbines to damping," Renewable Energy, Elsevier, vol. 123(C), pages 450-459.
    16. Ju, Shen-Haw, 2022. "Increasing the fatigue life of offshore wind turbine jacket structures using yaw stiffness and damping," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    17. Li, Liang & Cheng, Zhengshun & Yuan, Zhiming & Gao, Yan, 2018. "Short-term extreme response and fatigue damage of an integrated offshore renewable energy system," Renewable Energy, Elsevier, vol. 126(C), pages 617-629.
    18. 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.
    19. Pim van der Male & Marco Vergassola & Karel N. van Dalen, 2020. "Decoupled Modelling Approaches for Environmental Interactions with Monopile-Based Offshore Wind Support Structures," Energies, MDPI, vol. 13(19), pages 1-35, October.
    20. Meng, Jiayao & Dai, Kaoshan & Zhao, Zhi & Mao, Zhenxi & Camara, Alfredo & Zhang, Songhan & Mei, Zhu, 2020. "Study on the aerodynamic damping for the seismic analysis of wind turbines in operation," Renewable Energy, Elsevier, vol. 159(C), pages 1224-1242.

    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:178:y:2021:i:c:p:1421-1434. 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.