IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i14p2751-d249450.html
   My bibliography  Save this article

Reliability-Based Serviceability Limit State Design of a Jacket Substructure for an Offshore Wind Turbine

Author

Listed:
  • Jianhua Zhang

    (College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, China)

  • Won-Hee Kang

    (Centre for Infrastructure Engineering, Western Sydney University, Sydney, NSW 2751, Australia)

  • Ke Sun

    (College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China)

  • Fushun Liu

    (College of Engineering, Ocean University of China, Qingdao 266100, China)

Abstract

The development of a structurally optimized foundation design has become one of the main research objectives for offshore wind turbines (OWTs). The design process should be carried out in a probabilistic way due to the uncertainties involved, such as using parametric uncertainties regarding material and geometric properties, and model uncertainties in resistance prediction models and regarding environmental loads. Traditional simple deterministic checking procedures do not guarantee an optimized design because the associated uncertainties are not fully considered. In this paper, a reliability analysis framework is proposed to support the optimized design of jacket foundations for OWTs. The reliability analysis mainly considers the serviceability limit state of the structure according to the requirements of the code. The framework consists of two parts: (i) an important parameter identification procedure based on statistical correlation analysis and (ii) a finite element-simulation-based reliability estimation procedure. The procedure is demonstrated through a jacket structure design of a 3 MW OWT. The analysis results show that the statistical correlation analysis can help to identify the parameters necessary for the overall structural performance. The Latin hypercube sampling and the Monte Carlo simulation using FE models effectively and efficiently evaluate the reliability of the structure while not relying on a surrogate limit state function. A comparison between the proposed framework and the deterministic design shows that the framework can help to achieve a better result closer to the target reliability level.

Suggested Citation

  • Jianhua Zhang & Won-Hee Kang & Ke Sun & Fushun Liu, 2019. "Reliability-Based Serviceability Limit State Design of a Jacket Substructure for an Offshore Wind Turbine," Energies, MDPI, vol. 12(14), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2751-:d:249450
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/14/2751/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/14/2751/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Youngjin Kim & Oh Joon Kwon, 2019. "Effect of Platform Motion on Aerodynamic Performance and Aeroelastic Behavior of Floating Offshore Wind Turbine Blades," Energies, MDPI, vol. 12(13), pages 1-24, June.
    2. Fushun Liu & Xingguo Li & Zhe Tian & Jianhua Zhang & Bin Wang, 2019. "Transient Response Estimation of an Offshore Wind Turbine Support System," Energies, MDPI, vol. 12(5), pages 1-17, March.
    3. Heptonstall, Philip & Gross, Robert & Greenacre, Philip & Cockerill, Tim, 2012. "The cost of offshore wind: Understanding the past and projecting the future," Energy Policy, Elsevier, vol. 41(C), pages 815-821.
    4. Yang, Hezhen & Zhu, Yun & Lu, Qijin & Zhang, Jun, 2015. "Dynamic reliability based design optimization of the tripod sub-structure of offshore wind turbines," Renewable Energy, Elsevier, vol. 78(C), pages 16-25.
    5. Ziegler, Lisa & Voormeeren, Sven & Schafhirt, Sebastian & Muskulus, Michael, 2016. "Design clustering of offshore wind turbines using probabilistic fatigue load estimation," Renewable Energy, Elsevier, vol. 91(C), pages 425-433.
    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. Thanh-Tuan Tran & Sangkyun Kang & Jang-Ho Lee & Daeyong Lee, 2021. "Directional Bending Performance of 4-Leg Jacket Substructure Supporting a 3MW Offshore Wind Turbine," Energies, MDPI, vol. 14(9), pages 1-17, May.

    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. Levi, Peter G. & Pollitt, Michael G., 2015. "Cost trajectories of low carbon electricity generation technologies in the UK: A study of cost uncertainty," Energy Policy, Elsevier, vol. 87(C), pages 48-59.
    2. Geels, Frank W. & Kern, Florian & Fuchs, Gerhard & Hinderer, Nele & Kungl, Gregor & Mylan, Josephine & Neukirch, Mario & Wassermann, Sandra, 2016. "The enactment of socio-technical transition pathways: A reformulated typology and a comparative multi-level analysis of the German and UK low-carbon electricity transitions (1990–2014)," Research Policy, Elsevier, vol. 45(4), pages 896-913.
    3. Geels, Frank W. & Ayoub, Martina, 2023. "A socio-technical transition perspective on positive tipping points in climate change mitigation: Analysing seven interacting feedback loops in offshore wind and electric vehicles acceleration," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    4. 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.
    5. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    6. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    7. Jacobsson, Staffan & Karltorp, Kersti, 2013. "Mechanisms blocking the dynamics of the European offshore wind energy innovation system – Challenges for policy intervention," Energy Policy, Elsevier, vol. 63(C), pages 1182-1195.
    8. Lande-Sudall, D. & Stallard, T. & Stansby, P., 2018. "Co-located offshore wind and tidal stream turbines: Assessment of energy yield and loading," Renewable Energy, Elsevier, vol. 118(C), pages 627-643.
    9. 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.
    10. Rongyong Zhao & Daheng Dong & Cuiling Li & Steven Liu & Hao Zhang & Miyuan Li & Wenzhong Shen, 2020. "An Improved Power Control Approach for Wind Turbine Fatigue Balancing in an Offshore Wind Farm," Energies, MDPI, vol. 13(7), pages 1-20, March.
    11. Dylan F. Jones & Graham Wall, 2016. "An extended goal programming model for site selection in the offshore wind farm sector," Annals of Operations Research, Springer, vol. 245(1), pages 121-135, October.
    12. Schmid, Eva & Knopf, Brigitte, 2015. "Quantifying the long-term economic benefits of European electricity system integration," Energy Policy, Elsevier, vol. 87(C), pages 260-269.
    13. Salo, Olli & Syri, Sanna, 2014. "What economic support is needed for Arctic offshore wind power?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 343-352.
    14. Lande-Sudall, D. & Stallard, T. & Stansby, P., 2019. "Co-located deployment of offshore wind turbines with tidal stream turbine arrays for improved cost of electricity generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 492-503.
    15. Wang, L. & Kolios, A. & Liu, X. & Venetsanos, D. & Rui, C., 2022. "Reliability of offshore wind turbine support structures: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    16. Lei You & Jian Wang & Gang Liu & Hui Ma & Ming Zheng, 2018. "Thermal Rating of Offshore Wind Farm Cables Installed in Ventilated J-Tubes," Energies, MDPI, vol. 11(3), pages 1-14, March.
    17. Parkison, Sara B. & Kempton, Willett, 2022. "Marshaling ports required to meet US policy targets for offshore wind power," Energy Policy, Elsevier, vol. 163(C).
    18. Hdidouan, Daniel & Staffell, Iain, 2017. "The impact of climate change on the levelised cost of wind energy," Renewable Energy, Elsevier, vol. 101(C), pages 575-592.
    19. Zhiyu Jiang & Weifei Hu & Wenbin Dong & Zhen Gao & Zhengru Ren, 2017. "Structural Reliability Analysis of Wind Turbines: A Review," Energies, MDPI, vol. 10(12), pages 1-25, December.
    20. Oh, Ki-Yong & Nam, Woochul & Ryu, Moo Sung & Kim, Ji-Young & Epureanu, Bogdan I., 2018. "A review of foundations of offshore wind energy convertors: Current status and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 16-36.

    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:12:y:2019:i:14:p:2751-:d:249450. 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.