Projects per year
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.
Original language | English |
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Article number | 7324 |
Number of pages | 26 |
Journal | Energies |
Volume | 16 |
Issue number | 21 |
DOIs | |
Publication status | Published - 29 Oct 2023 |
Funding
The authors would like to thank all the members of the LiftWEC consortium for the fruitful discussion and input that has made this work possible. We would also like to thank the European Union’s Horizon 2020 Research and Innovation Programme, which funded this project under Grant Agreement No. 851885.
Keywords
- wave energy coverter
- wave energy
- lift based wave energy converter
- WEC
- hydrofoil
- material selection
- multicriteria decision making
- failure mode analysis
- fuzzy TOPSIS
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Dive into the research topics of 'Material selection framework for lift-based wave energy converters using fuzzy TOPSIS'. Together they form a unique fingerprint.Projects
- 1 Finished
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Development of a novel wave energy converter based on hydrodynamic lift forces (LiftWEC) H2020-LC-SC3-2018-2019-2020
Brennan, F. (Principal Investigator) & Payne, G. (Co-investigator)
European Commission - Horizon Europe + H2020
1/12/19 → 31/03/23
Project: Research