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Fatigue Life Assessment for Power Cables in Floating Offshore Wind Turbines

Author

Listed:
  • Mohsen Sobhaniasl

    (Department of Structural an Geotechnical Engineering, Sapienza University of Rome, 00184 Rome, Italy)

  • Francesco Petrini

    (Department of Structural an Geotechnical Engineering, Sapienza University of Rome, 00184 Rome, Italy)

  • Madjid Karimirad

    (Civil Engineering, School of Natural and Built Environment, Queen’s University Belfast (QUB), Belfast BT7 1NN, UK)

  • Franco Bontempi

    (Department of Structural an Geotechnical Engineering, Sapienza University of Rome, 00184 Rome, Italy)

Abstract

In this paper, a procedure is proposed to determine the fatigue life of the electrical cable connected to a 5 MW floating offshore wind turbine, supported by a spar-buoy at a water depth of 320 m, by using a numerical approach that takes into account site-specific wave and wind characteristics. The effect of the intensity and the simultaneous actions of waves and wind are investigated and the outcomes for specific cable configurations are shown. Finally, the fatigue life of the cable is evaluated. All analyses have been carried out using the Ansys AQWA computational code, which is a commercial code for the numerical investigation of the dynamic response of floating and fixed marine structures under the combined action of wind, waves and current. Furthermore, this paper applies the FAST NREL numerical code for comparison with the ANSYS AQWA results.

Suggested Citation

  • Mohsen Sobhaniasl & Francesco Petrini & Madjid Karimirad & Franco Bontempi, 2020. "Fatigue Life Assessment for Power Cables in Floating Offshore Wind Turbines," Energies, MDPI, vol. 13(12), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3096-:d:371911
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    References listed on IDEAS

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    1. Rentschler, Manuel U.T. & Adam, Frank & Chainho, Paulo, 2019. "Design optimization of dynamic inter-array cable systems for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 622-635.
    2. Karimirad, Madjid, 2013. "Modeling aspects of a floating wind turbine for coupled wave–wind-induced dynamic analyses," Renewable Energy, Elsevier, vol. 53(C), pages 299-305.
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    Cited by:

    1. Majidi Nezhad, M. & Heydari, A. & Pirshayan, E. & Groppi, D. & Astiaso Garcia, D., 2021. "A novel forecasting model for wind speed assessment using sentinel family satellites images and machine learning method," Renewable Energy, Elsevier, vol. 179(C), pages 2198-2211.
    2. Nezhad, M. Majidi & Neshat, M. & Heydari, A. & Razmjoo, A. & Piras, G. & Garcia, D. Astiaso, 2021. "A new methodology for offshore wind speed assessment integrating Sentinel-1, ERA-Interim and in-situ measurement," Renewable Energy, Elsevier, vol. 172(C), pages 1301-1313.

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