IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v334y2025ics0360544225032475.html

Novel conceptual design and performance analysis of a semi-submersible platform for 22 MW floating offshore wind turbine

Author

Listed:
  • Shi, Wei
  • Wang, Jiazhi
  • Ren, Yajun
  • Wang, Shuaishuai
  • Venugopal, Vengatesan
  • Han, Xu

Abstract

This research presents the conceptual design and performance analysis of a large-scale semi-submersible floating offshore wind turbine platform, named DUT-Semi, which features a simple and compact structural layout. It is specifically designed to address the enhanced demands for stability and hydrodynamic performance arising from the enlarged hub height and rotor diameter of the IEA 22 MW wind turbine. The DUT-Semi incorporates several innovations on structural layout, including cylindrical pontoons arranged in a T-shape for adequate displacement, Co-pontoons that ensure smooth transitions between side columns and pontoons, and Base plate structure for simplifying main column installation. These innovations aim to ensure motion performance while reducing construction costs and enhancing structural safety. To prevent excessive redundancy in DUT-semi design, this study compares and examines its stability and hydrodynamic response against another floating platform. The results demonstrate the reliability of DUT-semi across all six degrees of freedoms, even under coupled extreme loading conditions, including a 50-year wind event. Mooring line tension analysis also highlights the advantages of the proposed cost-effective mooring system in distributing tension and enhancing mooring safety. These design innovations offer reference for the future commercial design of floating platforms and mooring systems in the realm of offshore wind energy.

Suggested Citation

  • Shi, Wei & Wang, Jiazhi & Ren, Yajun & Wang, Shuaishuai & Venugopal, Vengatesan & Han, Xu, 2025. "Novel conceptual design and performance analysis of a semi-submersible platform for 22 MW floating offshore wind turbine," Energy, Elsevier, vol. 334(C).
  • Handle: RePEc:eee:energy:v:334:y:2025:i:c:s0360544225032475
    DOI: 10.1016/j.energy.2025.137605
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225032475
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.137605?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Li, Wei & Wang, Shuaishuai & Moan, Torgeir & Gao, Zhen & Gao, Shan, 2024. "Global design methodology for semi-submersible hulls of floating wind turbines," Renewable Energy, Elsevier, vol. 225(C).
    2. Wang, Xinbao & Cai, Chang & Cai, Shang-Gui & Wang, Tengyuan & Wang, Zekun & Song, Juanjuan & Rong, Xiaomin & Li, Qing'an, 2023. "A review of aerodynamic and wake characteristics of floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    3. López-Queija, Javier & Sotomayor, Eneko & Jugo, Josu & Aristondo, Ander & Robles, Eider, 2024. "A novel python-based floating offshore wind turbine simulation framework," Renewable Energy, Elsevier, vol. 222(C).
    4. Zeng, Xinmeng & Shao, Yanlin & Feng, Xingya & Xu, Kun & Jin, Ruijia & Li, Huajun, 2024. "Nonlinear hydrodynamics of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    5. Xie, Lu & Li, Chun & Yue, Minnan & He, Hongsheng & Jia, Wenzhe & Liu, Qingsong & Xu, Zifei & Fan, Li & Bashir, Musa & Yan, Yangtian, 2024. "Dynamic analysis of an improved shared moorings for floating offshore wind farm," Renewable Energy, Elsevier, vol. 232(C).
    6. Edwards, Emma C. & Holcombe, Anna & Brown, Scott & Ransley, Edward & Hann, Martyn & Greaves, Deborah, 2024. "Trends in floating offshore wind platforms: A review of early-stage devices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 193(C).
    7. Myhr, Anders & Bjerkseter, Catho & Ågotnes, Anders & Nygaard, Tor A., 2014. "Levelised cost of energy for offshore floating wind turbines in a life cycle perspective," Renewable Energy, Elsevier, vol. 66(C), pages 714-728.
    8. Ferri, Giulio & Marino, Enzo & Bruschi, Niccolò & Borri, Claudio, 2022. "Platform and mooring system optimization of a 10 MW semisubmersible offshore wind turbine," Renewable Energy, Elsevier, vol. 182(C), pages 1152-1170.
    9. Tian, Zhongmei & Shi, Wei & Li, Xin & Park, Yonghui & Jiang, Zhiyu & Wu, Ji, 2025. "Numerical simulations of floating offshore wind turbines with shared mooring under current-only conditions," Renewable Energy, Elsevier, vol. 238(C).
    10. Papi, F. & Bianchini, A., 2022. "Technical challenges in floating offshore wind turbine upscaling: A critical analysis based on the NREL 5 MW and IEA 15 MW Reference Turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    11. Barter, Garrett E. & Sethuraman, Latha & Bortolotti, Pietro & Keller, Jonathan & Torrey, David A., 2023. "Beyond 15 MW: A cost of energy perspective on the next generation of drivetrain technologies for offshore wind turbines," Applied Energy, Elsevier, vol. 344(C).
    12. Wang, Jiazhi & Ren, Yajun & Shi, Wei & Collu, Maurizio & Venugopal, Vengatesan & Li, Xin, 2025. "Multi-objective optimization design for a 15 MW semisubmersible floating offshore wind turbine using evolutionary algorithm," Applied Energy, Elsevier, vol. 377(PB).
    13. Karimirad, Madjid & Michailides, Constantine, 2015. "V-shaped semisubmersible offshore wind turbine: An alternative concept for offshore wind technology," Renewable Energy, Elsevier, vol. 83(C), pages 126-143.
    14. Wan, Ling & Moan, Torgeir & Gao, Zhen & Shi, Wei, 2024. "A review on the technical development of combined wind and wave energy conversion systems," Energy, Elsevier, vol. 294(C).
    15. Hu, Lehan & Shi, Wei & Hu, Weifei & Chai, Wei & Hu, Zhiqiang & Wu, Jun & Li, Xin, 2025. "Short-term prediction of mooring tension for floating offshore wind turbines under typhoon conditions based on the VMD-MI-LSTM method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 216(C).
    16. Liu, Ding Peng & Ferri, Giulio & Heo, Taemin & Marino, Enzo & Manuel, Lance, 2024. "On long-term fatigue damage estimation for a floating offshore wind turbine using a surrogate model," Renewable Energy, Elsevier, vol. 225(C).
    17. Li, Liang, 2022. "Full-coupled analysis of offshore floating wind turbine supported by very large floating structure with consideration of hydroelasticity," Renewable Energy, Elsevier, vol. 189(C), pages 790-799.
    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, Jiazhi & Shi, Wei & Ren, Yajun & Ran, Xiaoming & Collu, Maurizio & Venugopal, Vengatesan & Zhao, Haisheng, 2026. "An integrated multi-objective optimization framework for large-scale floating offshore wind turbine," Renewable Energy, Elsevier, vol. 258(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. Wang, Jiazhi & Shi, Wei & Ren, Yajun & Ran, Xiaoming & Collu, Maurizio & Venugopal, Vengatesan & Zhao, Haisheng, 2026. "An integrated multi-objective optimization framework for large-scale floating offshore wind turbine," Renewable Energy, Elsevier, vol. 258(C).
    2. Paduano, Bruno, 2026. "Current status and perspectives on shared moorings for offshore floating renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PC).
    3. Wang, Jiazhi & Ren, Yajun & Shi, Wei & Collu, Maurizio & Venugopal, Vengatesan & Li, Xin, 2025. "Multi-objective optimization design for a 15 MW semisubmersible floating offshore wind turbine using evolutionary algorithm," Applied Energy, Elsevier, vol. 377(PB).
    4. Zeng, Xinmeng & Shao, Yanlin & Feng, Xingya & Xu, Kun & Jin, Ruijia & Li, Huajun, 2024. "Nonlinear hydrodynamics of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    5. Wang, Jiazhi & Song, Zhaobo & Shi, Wei & Wang, Shuaishuai & Wang, Wenhua & Haider, Rizwan & Li, Xin, 2025. "Design and coupled analysis of a novel floating offshore wind turbine combined with a fish cage for deep water," Renewable Energy, Elsevier, vol. 247(C).
    6. Li, Changen & Chen, Peng & Shui, Yidi & Cheng, Zhengshun & Wang, Shuaishuai & Erfort, Gareth, 2025. "An efficient integrated optimization framework for conceptual design of floater for floating wind turbines: A case study," Renewable Energy, Elsevier, vol. 245(C).
    7. Bai, Hong & Zhang, Jianhua & Ma, Gang & Sun, Ke & Kang, Won-Hee & Lai, Yueqi & Chen, Yian & Zhu, Ronghua, 2025. "Structural modeling and optimization design of 15MW semi-submersible floating wind turbine platform based on intelligent algorithms," Energy, Elsevier, vol. 335(C).
    8. Huang, Haoda & Liu, Qingsong & Bashir, Musa & Malkeson, Sean & Li, Chun & Yue, Minnan & Miao, Weipao & Wang, Jin, 2025. "Dynamic performance optimization of a floating offshore wind turbine based on fractal-inspired design principles," Energy, Elsevier, vol. 324(C).
    9. Wang, Tianyuan & Li, Demin & Zhu, Kai & Cao, Feifei & Greaves, Deborah & Hann, Martyn & Shi, Hongda, 2025. "Application of dynamic mode decomposition in floating offshore renewable energy systems: Nonlinear prediction, denoise and control separation," Energy, Elsevier, vol. 341(C).
    10. Liu, Yingzhou & Li, Xin & Shi, Wei & Wang, Wenhua & Jiang, Zhiyu, 2024. "Vibration control of a monopile offshore wind turbines under recorded seismic waves," Renewable Energy, Elsevier, vol. 226(C).
    11. Mian, H.H. & Machot, F.A. & Ullah, H. & Keprate, A. & Siddiqui, M.S., 2025. "Advances in computational intelligence for floating offshore wind turbines aerodynamics: Current state review and future potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
    12. Zhongbo Hu & Liangxian Li & Xiang Gao & Jianfeng Xu & Xinyi Liu & Sen Gong & Wenhua Wang & Wei Shi & Xin Li, 2025. "A Fully Coupled Sensitivity Analysis Framework for Offshore Wind Turbines Based on an XGBoost Surrogate Model and the Interpretation of SHAP," Sustainability, MDPI, vol. 17(20), pages 1-20, October.
    13. Yi, Yang & Sun, Ke & Liu, Yongqian & Zhang, Jianhua & Zhang, Hui & Zhu, Ronghua & Yao, Hua-Dong, 2026. "Coupled numerical framework for wind-wave-to-wire energy conversion in floating hybrid wind-wave systems," Applied Energy, Elsevier, vol. 403(PB).
    14. Celesti, Maria Luisa & Mattiazzo, Giuliana & Faedo, Nicolás, 2025. "Towards modelling and control strategies for hybrid wind-wave energy converters: Challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
    15. Yi Yang & Chenyu Liang & Shi Liu & Jiale Jiang & Zheng Huang & Chonggan Liang & Wenjun Ou & Tao Tao & Mingsheng Chen, 2025. "Frequency and Time Domain Simulations of a 15 MW Floating Wind Turbine Integrating with Multiple Flap-Type WECs," Sustainability, MDPI, vol. 17(6), pages 1-28, March.
    16. Wang, Zedong & Hu, Jianjian & Wang, Yu & Yang, Mindong & Zhou, Binzhen & Yuan, Yuming & Jin, Peng & Chen, Yan, 2026. "Nonlinear aeroelastic performance in 5 MW and 15 MW wind turbine blades using intrinsic geometrically exact method," Renewable Energy, Elsevier, vol. 256(PI).
    17. Qiao, Yanhui & Fang, Jianju, 2025. "Full system universal upscaling method for semi-submersible floating offshore wind turbines," Renewable Energy, Elsevier, vol. 250(C).
    18. He, Zixiao & Yang, Xudong & Sun, Haiying, 2026. "A review on modeling, simulation and experiment of dynamic wake effect of floating offshore wind turbines," Applied Energy, Elsevier, vol. 406(C).
    19. Travaglini, Riccardo & Papi, Francesco & Bianchini, Alessandro, 2025. "Floating wind farms in sea basins with moderate wind speeds: a critical assessment of the potential of low-specific-power turbines in reducing the LCoE," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
    20. Peláez-Zapata, Daniel & Pakrashi, Vikram & Dias, Frédéric, 2025. "Ocean wave measurements for marine renewable energy applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 219(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:energy:v:334:y:2025:i:c:s0360544225032475. 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.journals.elsevier.com/energy .

    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.