JOURNAL ARTICLE
Performance of an oscillating water column wave energy converter device under random ocean waves and ocean currents.
Published In: Physics of Fluids, 2024, v. 36, n. 10. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Dash, Santanu Kumar; Koley, Santanu; Zheng, Siming 3 of 3
Abstract
This article investigates the hydrodynamic performance of an onshore oscillating water column (OWC) wave energy converter (WEC) device placed over an undulated seabed, focusing on the effects of combined irregular wave and ocean current interactions. Using classical linear water wave theory and a constant boundary element method (BEM), the study models wave–current interactions incorporating Doppler shift phenomena and employs the Det Norske Veritas (DNV) spectrum to represent realistic sea states. Results demonstrate that ocean currents notably influence the device’s resonant efficiency and horizontal wave forces, with following currents enhancing efficiency via frequency shifts, while opposing currents induce wave breaking and reduce performance. The study further shows that structural parameters such as chamber width and submergence depth significantly affect air pressure fluctuations and mean efficiency, and that undulated seabed topography can improve device efficiency by up to 10% compared to flat bottoms. These findings highlight the importance of accounting for wave–current interactions and seabed variations in the design and optimization of OWC devices for renewable wave energy extraction in nearshore environments.
Additional Information
- Source:Physics of Fluids. 2024/10, Vol. 36, Issue 10, p1
- Document Type:Article
- Subject Area:Power and Energy
- Publication Date:2024
- ISSN:1070-6631
- DOI:10.1063/5.0232117
- Accession Number:180632663
- Copyright Statement:Copyright of Physics of Fluids is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.