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Material Selection Framework for Lift-Based Wave Energy Converters Using Fuzzy TOPSIS

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  • Abel Arredondo-Galeana

    (Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK)

  • Baran Yeter

    (Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK)

  • Farhad Abad

    (Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK)

  • Stephanie Ordóñez-Sánchez

    (Department of Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow G1 1XJ, UK)

  • Saeid Lotfian

    (Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK)

  • Feargal Brennan

    (Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK)

Abstract

Material selection is a crucial aspect in the design of reliable, efficient and long-lasting wave energy converters (WECs). However, to date, the development of tailored methodologies applied to the material selection of WECs remains vastly unexplored. In this paper, a material selection framework for the case of lift-based WECs is developed. The application of the methodology is demonstrated with the hydrofoils of the device. Offshore steel, high-strength offshore steel, aluminium alloys, and carbon- and glass-fibre-reinforced composites are considered and evaluated subject to relevant criteria for wave energy converters, namely structural reliability, hydrodynamic efficiency, offshore maintainability, total manufacturing cost and environmental impact. Candidate materials are assessed via fuzzy TOPSIS for three scenarios of the life cycle of the WEC: conceptual, commercial and future projection stages. Results show that the choice of optimal materials could change from present to future and that multi-criteria decision-making tools aided by a fuzzy approach are useful design tools for novel WECs when field data are scarce. Hence, methodologies such as the ones presented in this work can help in reducing the probability of mechanical failures of emerging WEC technology.

Suggested Citation

  • Abel Arredondo-Galeana & Baran Yeter & Farhad Abad & Stephanie Ordóñez-Sánchez & Saeid Lotfian & Feargal Brennan, 2023. "Material Selection Framework for Lift-Based Wave Energy Converters Using Fuzzy TOPSIS," Energies, MDPI, vol. 16(21), pages 1-26, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:21:p:7324-:d:1269714
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    References listed on IDEAS

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    1. Lootsma, F. A. & Meisner, J. & Schellemans, F., 1986. "Multi-criteria decision analysis as an aid to the strategic planning of Energy R&D," European Journal of Operational Research, Elsevier, vol. 25(2), pages 216-234, May.
    2. López, Javier Contreras & Kolios, Athanasios & Wang, Lin & Chiachio, Manuel, 2023. "A wind turbine blade leading edge rain erosion computational framework," Renewable Energy, Elsevier, vol. 203(C), pages 131-141.
    3. Cavallaro, Fausto, 2010. "Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems," Applied Energy, Elsevier, vol. 87(2), pages 496-503, February.
    4. Allmark, Matthew & Ellis, Robert & Lloyd, Catherine & Ordonez-Sanchez, Stephanie & Johannesen, Kate & Byrne, Carl & Johnstone, Cameron & O’Doherty, Tim & Mason-Jones, Allan, 2020. "The development, design and characterisation of a scale model Horizontal Axis Tidal Turbine for dynamic load quantification," Renewable Energy, Elsevier, vol. 156(C), pages 913-930.
    5. Song, Soonseok & Demirel, Yigit Kemal & Atlar, Mehmet & Shi, Weichao, 2020. "Prediction of the fouling penalty on the tidal turbine performance and development of its mitigation measures," Applied Energy, Elsevier, vol. 276(C).
    6. Walker, Jessica M. & Flack, Karen A. & Lust, Ethan E. & Schultz, Michael P. & Luznik, Luksa, 2014. "Experimental and numerical studies of blade roughness and fouling on marine current turbine performance," Renewable Energy, Elsevier, vol. 66(C), pages 257-267.
    7. Jin, Siya & Greaves, Deborah, 2021. "Wave energy in the UK: Status review and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    8. Arredondo-Galeana, Abel & Olbert, Gerrit & Shi, Weichao & Brennan, Feargal, 2023. "Near wake hydrodynamics and structural design of a single foil cycloidal rotor in regular waves," Renewable Energy, Elsevier, vol. 206(C), pages 1020-1035.
    9. Walker, Stuart R.J. & Thies, Philipp R., 2022. "A life cycle assessment comparison of materials for a tidal stream turbine blade," Applied Energy, Elsevier, vol. 309(C).
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