IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i11p3173-d183180.html
   My bibliography  Save this article

Experimental Study on the Performance of a Crashworthy Device for the Monopile Offshore Wind Turbine against Ship Impact

Author

Listed:
  • Nianxin Ren

    (Deepwater Engineering Research Center, Dalian University of Technology, Dalian 116024, China
    State Key Laboratory of Coast and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)

  • Wei Li

    (Offshore Wind Power R&D Center, Powerchina Huadong Engineering Corporation, Hangzhou 310014, China)

  • Zhe Ma

    (Deepwater Engineering Research Center, Dalian University of Technology, Dalian 116024, China
    State Key Laboratory of Coast and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)

  • Jinping Ou

    (State Key Laboratory of Coast and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)

  • Dezhi Ning

    (State Key Laboratory of Coast and Offshore Engineering, Dalian University of Technology, Dalian 116024, China)

Abstract

In the present work, a crashworthy device for a monopile offshore wind turbine has been proposed, which consists of the inner two-layer rubber torus and the outer thin steel shell. The performance of the crashworthy device against ship impact has been investigated experimentally. Based on the prototype of a 4 MW monopile wind turbine in the East China Sea, the scale ratio of the test model has been designed to be 1/50. The test ship model has been simplified as a “rigid car” equipped with a high-frequency force sensor in the front, which is available for changing the ship mass with different weights. The ship-impact velocity can be accurately controlled by a motion platform driven by a direct current machine. The effect of the key design parameters of the crashworthy device on its anti-impact performance has been tested and compared under typical ship impact cases. The results indicate that the crashworthy device can effectively reduce both the ship impact force and the top nacelle acceleration, and the physical mechanism that has been clarified. The outer thin steel shell can significantly use its structural deformation to absorb the ship impact energy, which is beneficial for reducing the structural damage of the offshore wind turbine (OWT)’s tower. The inner rubber torus can effectively prolong the ship impact duration, which is available for smoothing the impact force. Finally, the porous design for the outer steel shell of the crashworthy device has been proposed and tested.

Suggested Citation

  • Nianxin Ren & Wei Li & Zhe Ma & Jinping Ou & Dezhi Ning, 2018. "Experimental Study on the Performance of a Crashworthy Device for the Monopile Offshore Wind Turbine against Ship Impact," Energies, MDPI, vol. 11(11), pages 1-12, November.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3173-:d:183180
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/11/3173/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/11/11/3173/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dai, Lijuan & Ehlers, Sören & Rausand, Marvin & Utne, Ingrid Bouwer, 2013. "Risk of collision between service vessels and offshore wind turbines," Reliability Engineering and System Safety, Elsevier, vol. 109(C), pages 18-31.
    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. Jin, Xin & Zhang, Zhaolong & Shi, Xiaoqiang & Ju, Wenbin, 2014. "A review on wind power industry and corresponding insurance market in China: Current status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1069-1082.
    2. Kishore, Katchalla Bala & Gangolu, Jaswanth & Ramancha, Mukesh K. & Bhuyan, Kasturi & Sharma, Hrishikesh, 2022. "Performance-based probabilistic deflection capacity models and fragility estimation for reinforced concrete column and beam subjected to blast loading," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    3. Leimeister, Mareike & Kolios, Athanasios, 2018. "A review of reliability-based methods for risk analysis and their application in the offshore wind industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1065-1076.
    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. Jin, Xin & Ju, Wenbin & Zhang, Zhaolong & Guo, Lianxin & Yang, Xiangang, 2016. "System safety analysis of large wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1293-1307.
    6. Shafiee, Mahmood, 2015. "Maintenance logistics organization for offshore wind energy: Current progress and future perspectives," Renewable Energy, Elsevier, vol. 77(C), pages 182-193.
    7. Bhuyan, Kasturi & Sharma, Hrishikesh, 2024. "Probabilistic capacity models and fragility estimate for NRC and UHSC panels subjected to contact blast," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    8. Silveira, P. & Teixeira, A.P. & Figueira, J.R. & Guedes Soares, C., 2021. "A multicriteria outranking approach for ship collision risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    9. Yu, Qing & Liu, Kezhong & Chang, Chia-Hsun & Yang, Zaili, 2020. "Realising advanced risk assessment of vessel traffic flows near offshore wind farms," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    10. Yu, Qing & Liu, Kezhong & Yang, Zhisen & Wang, Hongbo & Yang, Zaili, 2021. "Geometrical risk evaluation of the collisions between ships and offshore installations using rule-based Bayesian reasoning," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    11. Song, Ming & Jiang, Zhiyu & Yuan, Wei, 2021. "Numerical and analytical analysis of a monopile-supported offshore wind turbine under ship impacts," Renewable Energy, Elsevier, vol. 167(C), pages 457-472.
    12. Borunda, Mónica & Jaramillo, O.A. & Reyes, Alberto & Ibargüengoytia, Pablo H., 2016. "Bayesian networks in renewable energy systems: A bibliographical survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 32-45.
    13. Nguyen, Thi-Anh-Tuyet & Chou, Shuo-Yan & Yu, Tiffany Hui-Kuang, 2022. "Developing an exhaustive optimal maintenance schedule for offshore wind turbines based on risk-assessment, technical factors and cost-effective evaluation," Energy, Elsevier, vol. 249(C).
    14. Hughes, Larry & de Jong, Moniek & Wang, Xiao Qin, 2016. "A generic method for analyzing the risks to energy systems," Applied Energy, Elsevier, vol. 180(C), pages 895-908.
    15. Ren, Zhengru & Verma, Amrit Shankar & Li, Ye & Teuwen, Julie J.E. & Jiang, Zhiyu, 2021. "Offshore wind turbine operations and maintenance: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    16. Antonio Casimiro Caputo & Alessandro Federici & Pacifico Marcello Pelagagge & Paolo Salini, 2023. "Scenario Analysis of Offshore Wind-Power Systems under Uncertainty," Sustainability, MDPI, vol. 15(24), pages 1-21, December.
    17. Verma, Amrit Shankar & Yan, Jiquan & Hu, Weifei & Jiang, Zhiyu & Shi, Wei & Teuwen, Julie J.E., 2023. "A review of impact loads on composite wind turbine blades: Impact threats and classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    18. Qinghua Mao & Mengxin Guo & Jian Lv & Jinjin Chen & Pengzhen Xie & Meng Li, 2022. "A Risk Assessment Framework of Hybrid Offshore Wind–Solar PV Power Plants under a Probabilistic Linguistic Environment," Sustainability, MDPI, vol. 14(7), pages 1-29, April.
    19. Wu, Yunna & Zhang, Ting, 2021. "Risk assessment of offshore wave-wind-solar-compressed air energy storage power plant through fuzzy comprehensive evaluation model," Energy, Elsevier, vol. 223(C).

    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:gam:jeners:v:11:y:2018:i:11:p:3173-:d:183180. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.