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Wave-induced real-fluid effects in marine energy converters: Review and application to OWC devices

Author

Listed:
  • Zabala, I.
  • Henriques, J.C.C.
  • Blanco, J.M.
  • Gomez, A.
  • Gato, L.M.C.
  • Bidaguren, I.
  • Falcão, A.F.O.
  • Amezaga, A.
  • Gomes, R.P.F.

Abstract

The performance assessment of industrial marine energy converters involves the integrated treatment of their hydrodynamic design and the optimization of their device hulls. Nowadays, such tasks require extensive experimental work and simulation plans, consuming considerable resources and time. In this comprehensive review of integrated approaches to numerical and experimental testing, the advantages and disadvantages of existing tools, from full-scale prototype and wave tank models to Computational Fluid Dynamics (CFD) and potential flow simulations, are all analysed. Likewise, current challenges such as experimental scale effects, numerical viscosity, and turbulence treatment are all studied. The novelty of this research is an integrated approach that employs experimental wave tank tests to validate a numerical wave tank model based on CFD that serves to calibrate a fast potential flow solver with Morison's correction terms. The model allows running, on tight resources, the necessary simulation for the design and optimisation of marine energy converters under multiple sea state conditions. Given the operating regimes of conventional marine energy converters, the results show that the influence of turbulence may be small, due to the unsteady nature of the oscillatory boundary layer flows.

Suggested Citation

  • Zabala, I. & Henriques, J.C.C. & Blanco, J.M. & Gomez, A. & Gato, L.M.C. & Bidaguren, I. & Falcão, A.F.O. & Amezaga, A. & Gomes, R.P.F., 2019. "Wave-induced real-fluid effects in marine energy converters: Review and application to OWC devices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 535-549.
  • Handle: RePEc:eee:rensus:v:111:y:2019:i:c:p:535-549
    DOI: 10.1016/j.rser.2019.05.025
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    Cited by:

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    4. Oikonomou, Charikleia L.G. & Gomes, Rui P.F. & Gato, Luís M.C., 2021. "Unveiling the potential of using a spar-buoy oscillating-water-column wave energy converter for low-power stand-alone applications," Applied Energy, Elsevier, vol. 292(C).
    5. Portillo, J.C.C. & Collins, K.M. & Gomes, R.P.F. & Henriques, J.C.C. & Gato, L.M.C. & Howey, B.D. & Hann, M.R. & Greaves, D.M. & Falcão, A.F.O., 2020. "Wave energy converter physical model design and testing: The case of floating oscillating-water-columns," Applied Energy, Elsevier, vol. 278(C).
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    7. Moussavi, S. & Barutha, P. & Dvorak, B., 2023. "Environmental life cycle assessment of a novel offshore wind energy design project: A United States based case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    8. Zhao, Xuanlie & Zhang, Lidong & Li, Mingwei & Johanning, Lars, 2021. "Experimental investigation on the hydrodynamic performance of a multi-chamber OWC-breakwater," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    9. Chen, Weixing & Zhou, Boen & Huang, Hao & Lu, Yunfei & Li, Shaoxun & Gao, Feng, 2022. "Design, modeling and performance analysis of a deployable WEC for ocean robots," Applied Energy, Elsevier, vol. 327(C).
    10. Zhou, Yu & Ning, Dezhi & Liang, Dongfang & Cai, Shuqun, 2021. "Nonlinear hydrodynamic analysis of an offshore oscillating water column wave energy converter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    11. Gradowski, M. & Gomes, R.P.F. & Alves, M., 2020. "Hydrodynamic optimisation of an axisymmetric floating Oscillating Water Column type wave energy converter with an enlarged inner tube," Renewable Energy, Elsevier, vol. 162(C), pages 1519-1532.
    12. Zhongliang Meng & Yun Chen & Shizhen Li, 2022. "The Shape Optimization and Experimental Research of Heave Plate Applied to the New Wave Energy Converter," Energies, MDPI, vol. 15(4), pages 1-12, February.
    13. Li, L. & Gao, Y. & Ning, D.Z. & Yuan, Z.M., 2021. "Development of a constraint non-causal wave energy control algorithm based on artificial intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
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