IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v209y2018icp127-139.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917315520
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.10.107?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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    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.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    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.
    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).

    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. Feng, Ju & Shen, Wen Zhong, 2017. "Design optimization of offshore wind farms with multiple types of wind turbines," Applied Energy, Elsevier, vol. 205(C), pages 1283-1297.
    2. Hou, Peng & Enevoldsen, Peter & Hu, Weihao & Chen, Cong & Chen, Zhe, 2017. "Offshore wind farm repowering optimization," Applied Energy, Elsevier, vol. 208(C), pages 834-844.
    3. 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.
    4. Castro-Santos, Laura & Martins, Elson & Guedes Soares, C., 2017. "Economic comparison of technological alternatives to harness offshore wind and wave energies," Energy, Elsevier, vol. 140(P1), pages 1121-1130.
    5. Zhang, Lijun & Li, Ye & Xu, Wenhao & Gao, Zhiteng & Fang, Long & Li, Rongfu & Ding, Boyin & Zhao, Bin & Leng, Jun & He, Fenglan, 2022. "Systematic analysis of performance and cost of two floating offshore wind turbines with significant interactions," Applied Energy, Elsevier, vol. 321(C).
    6. 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.
    7. Wu, Xiawei & Hu, Weihao & Huang, Qi & Chen, Cong & Jacobson, Mark Z. & Chen, Zhe, 2020. "Optimizing the layout of onshore wind farms to minimize noise," Applied Energy, Elsevier, vol. 267(C).
    8. Nurullah Yildiz & Hassan Hemida & Charalampos Baniotopoulos, 2021. "Life Cycle Assessment of a Barge-Type Floating Wind Turbine and Comparison with Other Types of Wind Turbines," Energies, MDPI, vol. 14(18), pages 1-19, September.
    9. Shu, Z.R. & Li, Q.S. & Chan, P.W., 2015. "Investigation of offshore wind energy potential in Hong Kong based on Weibull distribution function," Applied Energy, Elsevier, vol. 156(C), pages 362-373.
    10. Mohamed R. Gomaa & Hegazy Rezk & Ramadan J. Mustafa & Mujahed Al-Dhaifallah, 2019. "Evaluating the Environmental Impacts and Energy Performance of a Wind Farm System Utilizing the Life-Cycle Assessment Method: A Practical Case Study," Energies, MDPI, vol. 12(17), pages 1-25, August.
    11. Artigao, Estefania & Martín-Martínez, Sergio & Honrubia-Escribano, Andrés & Gómez-Lázaro, Emilio, 2018. "Wind turbine reliability: A comprehensive review towards effective condition monitoring development," Applied Energy, Elsevier, vol. 228(C), pages 1569-1583.
    12. Magnus Daniel Kallinger & José Ignacio Rapha & Pau Trubat Casal & José Luis Domínguez-García, 2023. "Offshore Electrical Grid Layout Optimization for Floating Wind—A Review," Clean Technol., MDPI, vol. 5(3), pages 1-37, June.
    13. 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.
    14. Wu, Yan & Xia, Tianqi & Wang, Yufei & Zhang, Haoran & Feng, Xiao & Song, Xuan & Shibasaki, Ryosuke, 2022. "A synchronization methodology for 3D offshore wind farm layout optimization with multi-type wind turbines and obstacle-avoiding cable network," Renewable Energy, Elsevier, vol. 185(C), pages 302-320.
    15. Kitzing, Lena & Juul, Nina & Drud, Michael & Boomsma, Trine Krogh, 2017. "A real options approach to analyse wind energy investments under different support schemes," Applied Energy, Elsevier, vol. 188(C), pages 83-96.
    16. 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.
    17. Wang, Like & Wang, Yuan & Du, Huibin & Zuo, Jian & Yi Man Li, Rita & Zhou, Zhihua & Bi, Fenfen & Garvlehn, McSimon P., 2019. "A comparative life-cycle assessment of hydro-, nuclear and wind power: A China study," Applied Energy, Elsevier, vol. 249(C), pages 37-45.
    18. Sklenicka, Petr & Zouhar, Jan, 2018. "Predicting the visual impact of onshore wind farms via landscape indices: A method for objectivizing planning and decision processes," Applied Energy, Elsevier, vol. 209(C), pages 445-454.
    19. Lo Brutto, Ottavio A. & Guillou, Sylvain S. & Thiébot, Jérôme & Gualous, Hamid, 2017. "Assessing the effectiveness of a global optimum strategy within a tidal farm for power maximization," Applied Energy, Elsevier, vol. 204(C), pages 653-666.
    20. Khalid, Muhammad & Aguilera, Ricardo P. & Savkin, Andrey V. & Agelidis, Vassilios G., 2018. "On maximizing profit of wind-battery supported power station based on wind power and energy price forecasting," Applied Energy, Elsevier, vol. 211(C), pages 764-773.

    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:appene:v:209:y:2018:i:c:p:127-139. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.