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Feasibility study of offshore wind turbines with hybrid monopile foundation based on centrifuge modeling

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  • Wang, Xuefei
  • Zeng, Xiangwu
  • Yang, Xu
  • Li, Jiale

Abstract

The support structure of an offshore wind turbine (OWT) accounts for up to 25% of the capital cost; therefore, investigations into reliable and efficient foundations are critical for the offshore wind turbine industry. This paper describes an innovative hybrid monopile foundation for OWTs, which is an optimization of the original monopile foundation with broader applications. The behavior of OWTs with the hybrid monopile foundation in service conditions are investigated under lateral cyclic loadings, by considering the effects of wind, waves, and ice. A series of centrifuge tests are conducted in order to analyze these behaviors in detail, and OWT models with the original single-pile as well as wheel-only foundations are tested for comparison. Based on these tests, the accumulated lateral displacement and stiffness during cyclic loadings are presented, and the results indicate that the hybrid foundation exhibits a larger cyclic capacity than the other foundations. The influence of the cycle numbers, cyclic loading characteristics, and soil properties is examined during the tests; furthermore, the effects of these factors on the model deformation responses are illustrated. This study proposes the first analytical method for quantitatively estimating the cyclic lateral displacement of the new hybrid foundation in service conditions, and a degradation coefficient is recommended based on the test results. This method aims to provide a simple approach to predicting responses of OWTs with hybrid monopile foundations in service conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:209:y:2018:i:c:p:127-139
    DOI: 10.1016/j.apenergy.2017.10.107
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    5. 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.
    6. Ju-Hyung Lee & Tae-Young Kwak & Youn-Ju Jeong & Joonsang Park & Jae-Hyun Kim, 2023. "A Study on the Lateral Load Capacity of a Novel Hybrid Monopile via a Centrifuge Model Test," Energies, MDPI, vol. 16(21), pages 1-21, October.
    7. Wang, Xuefei & Zeng, Xiangwu & Li, Xinyao & Li, Jiale, 2019. "Investigation on offshore wind turbine with an innovative hybrid monopile foundation: An experimental based study," Renewable Energy, Elsevier, vol. 132(C), pages 129-141.
    8. Piotr E. Srokosz & Ireneusz Dyka & Marcin Bujko & Marta Bocheńska, 2021. "A Modified Resonant Column Device for In-Depth Analysis of Vibration in Cohesive and Cohesionless Soils," Energies, MDPI, vol. 14(20), pages 1-25, October.
    9. Ju, Shen-Haw & Huang, Yu-Cheng & Huang, Yin-Yu, 2020. "Study of optimal large-scale offshore wind turbines," Renewable Energy, Elsevier, vol. 154(C), pages 161-174.
    10. Li, Jiale & Wang, Xuefei & Yu, Xiong (Bill), 2018. "Use of spatio-temporal calibrated wind shear model to improve accuracy of wind resource assessment," Applied Energy, Elsevier, vol. 213(C), pages 469-485.
    11. Li, Jiale & Wang, Xuefei & Guo, Yuan & Yu, Xiong Bill, 2020. "The loading behavior of innovative monopile foundations for offshore wind turbine based on centrifuge experiments," Renewable Energy, Elsevier, vol. 152(C), pages 1109-1120.
    12. Su, Jie & Li, Yu & Chen, Yaoran & Han, Zhaolong & Zhou, Dai & Zhao, Yongsheng & Bao, Yan, 2021. "Aerodynamic performance assessment of φ-type vertical axis wind turbine under pitch motion," Energy, Elsevier, vol. 225(C).
    13. 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.
    14. Jeongsoo Kim & Yeon-Ju Jeong & Joonsang Park & Ju-Hyung Lee & Taeyoung Kwak & Jae-Hyun Kim, 2022. "Experimental and Finite Element-Based Investigation on Lateral Behaviors of a Novel Hybrid Monopile," Energies, MDPI, vol. 15(23), pages 1-21, November.
    15. Lin, Zi & Liu, Xiaolei, 2020. "Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network," Energy, Elsevier, vol. 201(C).
    16. He, Kunpeng & Ye, Jianhong, 2023. "Dynamics of offshore wind turbine-seabed foundation under hydrodynamic and aerodynamic loads: A coupled numerical way," Renewable Energy, Elsevier, vol. 202(C), pages 453-469.

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