IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v123y2018icp450-459.html
   My bibliography  Save this article

Fatigue life sensitivity of monopile-supported offshore wind turbines to damping

Author

Listed:
  • Rezaei, Ramtin
  • Fromme, Paul
  • Duffour, Philippe

Abstract

Offshore wind energy is an important renewable electricity source in the UK and Europe. Monopiles are currently the most commonly used substructures to support offshore wind turbines. The fatigue life of offshore wind turbines is directly linked to the oscillatory bending stresses caused by wind and wave loading. The dynamic response of the structure is highly dependent on the combined aerodynamic, hydrodynamic, structural, and soil damping present. The fatigue life sensitivity of a reference 5 MW wind turbine under operational and non-operational conditions has been investigated using time-domain finite element simulations. The model uses beam elements for the monopile and tower and includes nonlinear p-y curves for soil-structure interaction. The effects of the wind turbine operation, environmental loads, and variable damping levels on the fatigue life were investigated systematically. The fatigue life increases significantly as a result of reductions in the bending stress caused by increased damping. From a practical point of view, significant cost-savings could be achieved in the design of a wind turbine by fitting supplemental damping devices. An efficient approximate method is proposed to assess the influence of damping, by scaling the vibration amplitudes around the first natural frequency of the system.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:123:y:2018:i:c:p:450-459
    DOI: 10.1016/j.renene.2018.02.086
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118302301
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.02.086?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. Carswell, W. & Johansson, J. & Løvholt, F. & Arwade, S.R. & Madshus, C. & DeGroot, D.J. & Myers, A.T., 2015. "Foundation damping and the dynamics of offshore wind turbine monopiles," Renewable Energy, Elsevier, vol. 80(C), pages 724-736.
    2. Kaldellis, John K. & Zafirakis, D., 2011. "The wind energy (r)evolution: A short review of a long history," Renewable Energy, Elsevier, vol. 36(7), pages 1887-1901.
    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. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    5. 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.
    6. Lago, Lucas I. & Ponta, Fernando L. & Otero, Alejandro D., 2013. "Analysis of alternative adaptive geometrical configurations for the NREL-5 MW wind turbine blade," Renewable Energy, Elsevier, vol. 59(C), pages 13-22.
    7. Ziegler, Lisa & Voormeeren, Sven & Schafhirt, Sebastian & Muskulus, Michael, 2016. "Design clustering of offshore wind turbines using probabilistic fatigue load estimation," Renewable Energy, Elsevier, vol. 91(C), pages 425-433.
    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. Chen, Chuan & Zhou, Jing-wei & Li, Fengming & Zhai, Endi, 2022. "Stall-induced vibrations analysis and mitigation of a wind turbine rotor at idling state: Theory and experiment," Renewable Energy, Elsevier, vol. 187(C), pages 710-727.
    2. 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.
    3. Xiao, Shaohui & Lin, Kun & Liu, Hongjun & Zhou, Annan, 2021. "Performance analysis of monopile-supported wind turbines subjected to wind and operation loads," Renewable Energy, Elsevier, vol. 179(C), pages 842-858.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Guo, Yaohua & Zhang, Puyang & Ding, Hongyan & Le, Conghuan, 2021. "Design and verification of the loading system and boundary conditions for wind turbine foundation model experiment," Renewable Energy, Elsevier, vol. 172(C), pages 16-33.

    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. 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.
    2. 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.
    3. Satir, Mert & Murphy, Fionnuala & McDonnell, Kevin, 2018. "Feasibility study of an offshore wind farm in the Aegean Sea, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2552-2562.
    4. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    5. Rongyong Zhao & Daheng Dong & Cuiling Li & Steven Liu & Hao Zhang & Miyuan Li & Wenzhong Shen, 2020. "An Improved Power Control Approach for Wind Turbine Fatigue Balancing in an Offshore Wind Farm," Energies, MDPI, vol. 13(7), pages 1-20, March.
    6. 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.
    7. 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.
    8. Sant’Anna de Sousa Gomes, Mateus & Faulstich de Paiva, Jane Maria & Aparecida da Silva Moris, Virgínia & Nunes, Andréa Oliveira, 2019. "Proposal of a methodology to use offshore wind energy on the southeast coast of Brazil," Energy, Elsevier, vol. 185(C), pages 327-336.
    9. 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.
    10. 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.
    11. 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.
    12. McKenna, R. & Ostman v.d. Leye, P. & Fichtner, W., 2016. "Key challenges and prospects for large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1212-1221.
    13. 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.
    14. Salcedo-Sanz, S. & Gallo-Marazuela, D. & Pastor-Sánchez, A. & Carro-Calvo, L. & Portilla-Figueras, A. & Prieto, L., 2014. "Offshore wind farm design with the Coral Reefs Optimization algorithm," Renewable Energy, Elsevier, vol. 63(C), pages 109-115.
    15. 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.
    16. Islam, M.R. & Mekhilef, S. & Saidur, R., 2013. "Progress and recent trends of wind energy technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 456-468.
    17. Liang Lu & Minyan Zhu & Haijun Wu & Jianzhong Wu, 2022. "A Review and Case Analysis on Biaxial Synchronous Loading Technology and Fast Moment-Matching Methods for Fatigue Tests of Wind Turbine Blades," Energies, MDPI, vol. 15(13), pages 1-34, July.
    18. Arvesen, Ø. & Medbø, V. & Fleten, S.-E. & Tomasgard, A. & Westgaard, S., 2013. "Linepack storage valuation under price uncertainty," Energy, Elsevier, vol. 52(C), pages 155-164.
    19. Hötte, Kerstin & Pichler, Anton & Lafond, François, 2021. "The rise of science in low-carbon energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    20. Gao, Xiaoxia & Yang, Hongxing & Lu, Lin, 2014. "Study on offshore wind power potential and wind farm optimization in Hong Kong," Applied Energy, Elsevier, vol. 130(C), pages 519-531.

    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:123:y:2018:i:c:p:450-459. 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.