Sequential optimization of the geometrical parameters of an OWC device based on the specific wave characteristics
Mohammad Hayati,
Amir H. Nikseresht and
Ali Taherian Haghighi
Renewable Energy, 2020, vol. 161, issue C, 386-394
Abstract:
Conventional Wave Energy Converters (WECs) are designed to extract the wave energy from the oceans with the wave power of 20–50 kW-per-meter. If these WECs are used where the wave energy is less than the mentioned values they cannot work in their maximum performance. Therefore it is proposed to optimize the WECs for the average wave power in each place. In this research, an Oscillating Water Column (OWC) is investigated to extract the maximum output power based on the characteristics of the Faroor island waves in the Persian Gulf. The average power of the Persian Gulf Waves is less than 10 kW-per-meter and using a conventional wave energy converter is not efficient. Numerical simulation is performed using ANSYS-Fluent software. In this study, waves are generated using nonlinear second order stokes theory. Also, the k-ω turbulence model and volume of fluid scheme are used for turbulence modeling and interface tracking respectively. Finally, with optimizing each parameter an optimum geometry with an efficiency of 41.5% is obtained to extract the Faroor Island waves’ energy. This study emphasizes on this fact that one should design a new geometry to reach the best performance of the OWC in new wave characteristics.
Keywords: OWC; Wave energy; Geometrical optimization; Faroor island (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148120311496
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:161:y:2020:i:c:p:386-394
DOI: 10.1016/j.renene.2020.07.073
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 ().