IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v219y2023ip1s0960148123013459.html
   My bibliography  Save this article

System identification and finite element model updating of a 6 MW offshore wind turbine using vibrational response measurements

Author

Listed:
  • Moynihan, Bridget
  • Mehrjoo, Azin
  • Moaveni, Babak
  • McAdam, Ross
  • Rüdinger, Finn
  • Hines, Eric

Abstract

Offshore wind energy is playing an increasingly vital role in the clean energy transition around the world, and improved reliability of wind turbine structures is necessary for the long-term success and efficiency of renewable energy. Increased reliability would reduce costs associated with maintenance due to breakages and in turn reduce the levelized cost of energy for offshore wind energy sources. Structural health monitoring methods can be used to predict breakages and extend lifetimes by continuously monitoring instrumented structures. This paper presents system identification and model updating of a 6 MW offshore wind turbine using vibration measurements under varying operational conditions. The turbine is monopile-supported and instrumented with strain gauges and accelerometers at several elevations along the tower and monopile. Effective stiffness of soil springs in the model are updated to match modal-predicted natural frequencies and mode shapes of the first two modes with those identified from measurements at different operating conditions. A deterministic and probabilistic (Bayesian) approach to model updating are compared. The sensitivity of identified modal parameters and the updated model parameters are investigated with respect to operational and environmental conditions such as wind speed. Results show that deterministic model updating can match modal parameters with high accuracy across datasets and environmental conditions. Bayesian model updating results successfully estimate the posterior distribution of updating model parameters with an increasing degree of certainty as more data is used.

Suggested Citation

  • Moynihan, Bridget & Mehrjoo, Azin & Moaveni, Babak & McAdam, Ross & Rüdinger, Finn & Hines, Eric, 2023. "System identification and finite element model updating of a 6 MW offshore wind turbine using vibrational response measurements," Renewable Energy, Elsevier, vol. 219(P1).
    • Handle: RePEc:eee:renene:v:219:y:2023:i:p1:s0960148123013459
    DOI: 10.1016/j.renene.2023.119430
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123013459
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2023.119430?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. 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. 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. Eleonora M. Tronci & Maurizio Angelis & Raimondo Betti & Vittorio Altomare, 2020. "Semi-Automated Operational Modal Analysis Methodology to Optimize Modal Parameter Estimation," Journal of Optimization Theory and Applications, Springer, vol. 187(3), pages 842-854, December.
    4. Hines, Eric M. & Baxter, Christopher D.P. & Ciochetto, David & Song, Mingming & Sparrevik, Per & Meland, Henrik J. & Strout, James M. & Bradshaw, Aaron & Hu, Sau-Lon & Basurto, Jorge R. & Moaveni, Bab, 2023. "Structural instrumentation and monitoring of the Block Island Offshore Wind Farm," Renewable Energy, Elsevier, vol. 202(C), pages 1032-1045.
    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. Nguyen, Thi Anh Tuyet & Chou, Shuo-Yan, 2018. "Impact of government subsidies on economic feasibility of offshore wind system: Implications for Taiwan energy policies," Applied Energy, Elsevier, vol. 217(C), pages 336-345.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Wei Li & Shinai Xu & Baiyun Qian & Xiaoxia Gao & Xiaoxun Zhu & Zeqi Shi & Wei Liu & Qiaoliang Hu, 2022. "Large-Scale Wind Turbine’s Load Characteristics Excited by the Wind and Grid in Complex Terrain: A Review," Sustainability, MDPI, vol. 14(24), pages 1-29, December.
    9. Wang, Xuefei & Zeng, Xiangwu & Yang, Xu & Li, Jiale, 2018. "Feasibility study of offshore wind turbines with hybrid monopile foundation based on centrifuge modeling," Applied Energy, Elsevier, vol. 209(C), pages 127-139.
    10. 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.
    11. 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.
    12. Hernandez-Estrada, Edwin & Lastres-Danguillecourt, Orlando & Robles-Ocampo, Jose B. & Lopez-Lopez, Andres & Sevilla-Camacho, Perla Y. & Perez-Sariñana, Bianca Y. & Dorrego-Portela, Jose R., 2021. "Considerations for the structural analysis and design of wind turbine towers: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    13. Renqiang Xi & Piguang Wang & Xiuli Du & Chengshun Xu & Junbo Jia, 2020. "Evaluation of an Uncoupled Method for Analyzing the Seismic Response of Wind Turbines Excited by Wind and Earthquake Loads," Energies, MDPI, vol. 13(15), pages 1-27, July.
    14. Mario Vieira & Brian Snyder & Elsa Henriques & Craig White & Luis Reis, 2023. "Economic Viability of Implementing Structural Health Monitoring Systems on the Support Structures of Bottom-Fixed Offshore Wind," Energies, MDPI, vol. 16(13), pages 1-20, June.
    15. Srikanth Bashetty & Selahattin Ozcelik, 2021. "Review on Dynamics of Offshore Floating Wind Turbine Platforms," Energies, MDPI, vol. 14(19), pages 1-30, September.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.

    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:219:y:2023:i:p1:s0960148123013459. 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.