A numerical-experimental study on the hydrodynamic performance of a U-OWC wave energy converter

Lilia Carlo, Claudio Iuppa and Carla Faraci

Renewable Energy, 2023, vol. 203, issue C, 89-101

Abstract: The present work is aimed to the formulation of empirical relationships useful for the design of a U-OWC type marine energy conversion device, with particular reference to the calculation of the resonance index and hydrodynamic efficiency. The study was conducted using physical and numerical modelling. The experimental campaign was carried out within the flume at the Hydraulics Laboratory of the University of Messina. Tests were performed by forcing the model on a scale of 1:30 with the action of several regular waves and varying the geometry of the device. Furthermore, to extend the experimental dataset with more energetic waves and new geometrical characteristics, the physical model was also reproduced numerically using the CFD software OpenFOAM. The validation process of the numerical model showed that the turbulent LES model reproduced the behaviour of the device more effectively than the turbulent κ-ω SST model, particularly for the more energetic waves.

Keywords: energy Efficiency; Reflection coefficient; Damping coefficient; Wave energy; CFD model (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148122018420
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:203:y:2023:i:c:p:89-101

DOI: 10.1016/j.renene.2022.12.057

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().