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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.

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  • 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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    1. Serrano González, Javier & Trigo García, Ángel Luis & Burgos Payán, Manuel & Riquelme Santos, Jesús & González Rodríguez, Ángel Gaspar, 2017. "Optimal wind-turbine micro-siting of offshore wind farms: A grid-like layout approach," Applied Energy, Elsevier, vol. 200(C), pages 28-38.
    2. Lenzen, Manfred & Wachsmann, Ulrike, 2004. "Wind turbines in Brazil and Germany: an example of geographical variability in life-cycle assessment," Applied Energy, Elsevier, vol. 77(2), pages 119-130, February.
    3. 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.
    4. 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.
    5. Hou, Peng & Hu, Weihao & Soltani, Mohsen & Chen, Cong & Chen, Zhe, 2017. "Combined optimization for offshore wind turbine micro siting," Applied Energy, Elsevier, vol. 189(C), pages 271-282.
    6. Savino, Matteo M. & Manzini, Riccardo & Della Selva, Vincenzo & Accorsi, Riccardo, 2017. "A new model for environmental and economic evaluation of renewable energy systems: The case of wind turbines," Applied Energy, Elsevier, vol. 189(C), pages 739-752.
    7. Gentils, Theo & Wang, Lin & Kolios, Athanasios, 2017. "Integrated structural optimisation of offshore wind turbine support structures based on finite element analysis and genetic algorithm," Applied Energy, Elsevier, vol. 199(C), pages 187-204.
    8. Wang, Xuefei & Yang, Xu & Zeng, Xiangwu, 2017. "Seismic centrifuge modelling of suction bucket foundation for offshore wind turbine," Renewable Energy, Elsevier, vol. 114(PB), pages 1013-1022.
    9. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    10. Bonou, Alexandra & Laurent, Alexis & Olsen, Stig I., 2016. "Life cycle assessment of onshore and offshore wind energy-from theory to application," Applied Energy, Elsevier, vol. 180(C), pages 327-337.
    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. Maslov, Nicolas & Claramunt, Christophe & Wang, Tianzhen & Tang, Tianhao, 2017. "Method to estimate the visual impact of an offshore wind farm," Applied Energy, Elsevier, vol. 204(C), pages 1422-1430.
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    2. 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.
    3. Wang, Xuefei & Zeng, Xiangwu & Yang, Xu & Li, Jiale, 2019. "Seismic response of offshore wind turbine with hybrid monopile foundation based on centrifuge modelling," Applied Energy, Elsevier, vol. 235(C), pages 1335-1350.
    4. 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.
    5. 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.
    6. 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.
    7. Li, Jiale & Yu, Xiong (Bill), 2018. "Onshore and offshore wind energy potential assessment near Lake Erie shoreline: A spatial and temporal analysis," Energy, Elsevier, vol. 147(C), pages 1092-1107.
    8. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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).
    15. 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.
    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.
    17. Ren, Yajun & Shi, Wei & Venugopal, Vengatesan & Zhang, Lixian & Li, Xin, 2024. "Experimental study of tendon failure analysis for a TLP floating offshore wind turbine," Applied Energy, Elsevier, vol. 358(C).

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