Kulkarni, Siddharth Suhas, Wang, Lin, Golsby, Nicholas and Lander, Martin (2021). Fluid-structure interaction based optimisation in tidal turbines:A perspective review. Journal of Ocean Engineering and Science ,
Abstract
Occurrences such as the global climate change have presented critical challenges to humanity and necessitated studies into how greenhouse gas emissions can be minimized. One practical solution is the generation of power from renewable and sustainable sources; hence, tidal current energy which, however, also gives rise to the concept of fluid-structure interaction (FSI). The pressure and fluid flow aspects affect the structural deformations and the structural deformations in turn affect pressure and flow. This paper presents a perspective review of FSI based optimisation in tidal turbines with a focus on low-order aerodynamic, computational fluid dynamics (CFD) and structural modeling. It was acknowledged that, to aid humanity amidst the issue of using renewable or non-renewable sources of energy, practical solutions such as generating renewable energy from sustainable sources are effective. Tidal current energy was found to be one of the most reliable solutions but further studies regarding its practicality was advised.
Publication DOI: | https://doi.org/10.1016/j.joes.2021.09.017 |
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Divisions: | College of Engineering & Physical Sciences > School of Engineering and Technology |
Additional Information: | © 2021 Shanghai Jiaotong University. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
Uncontrolled Keywords: | Oceanography,Environmental Engineering,Ocean Engineering |
Publication ISSN: | 2468-0133 |
Last Modified: | 19 Nov 2024 08:17 |
Date Deposited: | 30 Mar 2022 15:12 |
Full Text Link: | |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Review article |
Published Date: | 2021-09-27 |
Published Online Date: | 2021-09-27 |
Accepted Date: | 2021-09-24 |
Authors: |
Kulkarni, Siddharth Suhas
(
0000-0001-5516-4932)
Wang, Lin Golsby, Nicholas Lander, Martin |
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