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Performance and fatigue analysis of an integrated floating wind-current energy system considering the aero-hydro-servo-elastic coupling effects

Author

Listed:
  • Yang, Yang
  • Fu, Jianbin
  • Shi, Zhaobin
  • Ma, Lu
  • Yu, Jie
  • Fang, Fang
  • Chen, Shunhua
  • Lin, Zaibin
  • Li, Chun

Abstract

Integration of multiple offshore renewable energy converters holds immense promise for achieving cost-effective utilization of marine energy. Integrated Floating Wind-Current Energy Systems (IFESs) have garnered considerable attention as a means to harness the abundant wind and marine resources in deep-sea areas using a single device. However, the dynamic responses of IFESs are significantly influenced by the coupling of aerodynamic and hydrodynamic loads. To assess the performance of a 10 MW + Spar-type IFES under wind-wave-current loadings, this study develops an aero-servo-elastic model within the hydrodynamic analysis tool AQWA. By utilizing the fully coupled model, this study investigates the platform motions, tower loads, and power production of the IFES under various environmental conditions. A comparative analysis is conducted by comparing the results with those obtained for a floating offshore wind turbine (FOWT). Furthermore, fatigue damage at the tower base of both the IFES and FOWT is evaluated. It is found that the presence of current turbines leads to improved platform stability, significant increases in total power production, and reduced fatigue damage at the tower base. These novel findings corroborate the potential and advantages of IFES concepts in enhancing the stability and energy harvest efficiency of floating marine energy converters.

Suggested Citation

  • Yang, Yang & Fu, Jianbin & Shi, Zhaobin & Ma, Lu & Yu, Jie & Fang, Fang & Chen, Shunhua & Lin, Zaibin & Li, Chun, 2023. "Performance and fatigue analysis of an integrated floating wind-current energy system considering the aero-hydro-servo-elastic coupling effects," Renewable Energy, Elsevier, vol. 216(C).
    • Handle: RePEc:eee:renene:v:216:y:2023:i:c:s096014812301025x
    DOI: 10.1016/j.renene.2023.119111
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    as
    1. Nicholls-Lee, R.F. & Turnock, S.R. & Boyd, S.W., 2013. "Application of bend-twist coupled blades for horizontal axis tidal turbines," Renewable Energy, Elsevier, vol. 50(C), pages 541-550.
    2. Hyeonjeong Ahn & Hyunkyoung Shin, 2020. "Experimental and Numerical Analysis of a 10 MW Floating Offshore Wind Turbine in Regular Waves," Energies, MDPI, vol. 13(10), pages 1-17, May.
    3. Topper, Mathew B.R. & Olson, Sterling S. & Roberts, Jesse D., 2021. "On the benefits of negative hydrodynamic interactions in small tidal energy arrays," Applied Energy, Elsevier, vol. 297(C).
    4. Yang, Yang & Bashir, Musa & Michailides, Constantine & Li, Chun & Wang, Jin, 2020. "Development and application of an aero-hydro-servo-elastic coupling framework for analysis of floating offshore wind turbines," Renewable Energy, Elsevier, vol. 161(C), pages 606-625.
    5. Kong, Xiaobing & Ma, Lele & Wang, Ce & Guo, Shifan & Abdelbaky, Mohamed Abdelkarim & Liu, Xiangjie & Lee, Kwang Y., 2022. "Large-scale wind farm control using distributed economic model predictive scheme," Renewable Energy, Elsevier, vol. 181(C), pages 581-591.
    6. Haidar Diab & Yacine Amara & Sami Hlioui & Johannes J. H. Paulides, 2021. "Design and Realization of a Hybrid Excited Flux Switching Vernier Machine for Renewable Energy Conversion," Energies, MDPI, vol. 14(19), pages 1-23, September.
    7. Peter Osman & Jennifer A. Hayward & Irene Penesis & Philip Marsh & Mark A. Hemer & David Griffin & Saad Sayeef & Jean-Roch Nader & Remo Cossu & Alistair Grinham & Uwe Rosebrock & Mike Herzfeld, 2021. "Dispatchability, Energy Security, and Reduced Capital Cost in Tidal-Wind and Tidal-Solar Energy Farms," Energies, MDPI, vol. 14(24), pages 1-28, December.
    8. Chen, Ziwen & Wang, Xiaodong & Guo, Yize & Kang, Shun, 2021. "Numerical analysis of unsteady aerodynamic performance of floating offshore wind turbine under platform surge and pitch motions," Renewable Energy, Elsevier, vol. 163(C), pages 1849-1870.
    9. Li, Liang & Cheng, Zhengshun & Yuan, Zhiming & Gao, Yan, 2018. "Short-term extreme response and fatigue damage of an integrated offshore renewable energy system," Renewable Energy, Elsevier, vol. 126(C), pages 617-629.
    10. Li, Liang & Gao, Yan & Yuan, Zhiming & Day, Sandy & Hu, Zhiqiang, 2018. "Dynamic response and power production of a floating integrated wind, wave and tidal energy system," Renewable Energy, Elsevier, vol. 116(PA), pages 412-422.
    11. Bahaj, A.S. & Molland, A.F. & Chaplin, J.R. & Batten, W.M.J., 2007. "Power and thrust measurements of marine current turbines under various hydrodynamic flow conditions in a cavitation tunnel and a towing tank," Renewable Energy, Elsevier, vol. 32(3), pages 407-426.
    12. Carlos Perez-Collazo & Deborah Greaves & Gregorio Iglesias, 2018. "A Novel Hybrid Wind-Wave Energy Converter for Jacket-Frame Substructures," Energies, MDPI, vol. 11(3), pages 1-20, March.
    13. Abdelbaky, Mohamed Abdelkarim & Liu, Xiangjie & Jiang, Di, 2020. "Design and implementation of partial offline fuzzy model-predictive pitch controller for large-scale wind-turbines," Renewable Energy, Elsevier, vol. 145(C), pages 981-996.
    14. Badoe, Charles E. & Edmunds, Matt & Williams, Alison J. & Nambiar, Anup & Sellar, Brian & Kiprakis, Aristides & Masters, Ian, 2022. "Robust validation of a generalised actuator disk CFD model for tidal turbine analysis using the FloWave ocean energy research facility," Renewable Energy, Elsevier, vol. 190(C), pages 232-250.
    15. Li, Liang & Yuan, Zhi-Ming & Gao, Yan & Zhang, Xinshu & Tezdogan, Tahsin, 2019. "Investigation on long-term extreme response of an integrated offshore renewable energy device with a modified environmental contour method," Renewable Energy, Elsevier, vol. 132(C), pages 33-42.
    16. Fang, Yuan & Duan, Lei & Han, Zhaolong & Zhao, Yongsheng & Yang, He, 2020. "Numerical analysis of aerodynamic performance of a floating offshore wind turbine under pitch motion," Energy, Elsevier, vol. 192(C).
    17. Hyebin Lee & Sunny Kumar Poguluri & Yoon Hyeok Bae, 2018. "Performance Analysis of Multiple Wave Energy Converters Placed on a Floating Platform in the Frequency Domain," Energies, MDPI, vol. 11(2), pages 1-14, February.
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