Bionic Raft Design and Performance Investigation of a Two-Raft Wave Energy Converter

This paper proposes a two-raft wave energy conversion technology with bionic rafts, aiming to enhance the wave energy capture performance of existing devices with regularly shaped rafts. The cross-sectional shape of the bionic raft is designed as a nested pattern of the long and short axes of two semi-ellipses, which is inspired by the cross-sectional shape of the flat shark. Based on the computational fluid dynamics (CFD) model of the wave energy converter (WEC) with the bionic raft in waves, it is verified that the designed bionic raft positively enhances the wave excitation force acting on the raft and the wave power capture factor of the power take-off (PTO) system. Taking the maximum wave energy capture factor as the optimization objective, the optimal geometric parameters of the bionic raft are calculated and determined by numerical simulation. Subsequently, the effects of wave period, raft draught, and the linear viscous damping coefficient of the PTO system on the wave excitation force, raft motion, and wave energy capture factor are investigated in the frequency domain. Furthermore, the dimensionless optimal values of the aforementioned influencing factors are presented and discussed as the wave energy capture factors of the WECs reach their maximum values. This work provides a new design idea for the development and optimization of multi-raft WECs.

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2024-11-21
DOI
https://doi.org/10.3390/jmse12122114
Citations
7
Primary Topic
Wave and Wind Energy Systems
Type
article
Field-Weighted Citation Impact
2.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bionic Raft Design and Performance Investigation of a Two-Raft Wave Energy Converter

T. Liu, Xianku Zhang, Biao Li, Hamse Saed Adan
7 citations
Journal of Marine Science and Engineering
Wave and Wind Energy Systems
2.35
article

Bionic Raft Design and Performance Investigation of a Two-Raft Wave Energy Converter

T. Liu, Xianku Zhang, Biao Li, Hamse Saed Adan
article en
7 citations

Abstract

This paper proposes a two-raft wave energy conversion technology with bionic rafts, aiming to enhance the wave energy capture performance of existing devices with regularly shaped rafts. The cross-sectional shape of the bionic raft is designed as a nested pattern of the long and short axes of two semi-ellipses, which is inspired by the cross-sectional shape of the flat shark. Based on the computational fluid dynamics (CFD) model of the wave energy converter (WEC) with the bionic raft in waves, it is verified that the designed bionic raft positively enhances the wave excitation force acting on the raft and the wave power capture factor of the power take-off (PTO) system. Taking the maximum wave energy capture factor as the optimization objective, the optimal geometric parameters of the bionic raft are calculated and determined by numerical simulation. Subsequently, the effects of wave period, raft draught, and the linear viscous damping coefficient of the PTO system on the wave excitation force, raft motion, and wave energy capture factor are investigated in the frequency domain. Furthermore, the dimensionless optimal values of the aforementioned influencing factors are presented and discussed as the wave energy capture factors of the WECs reach their maximum values. This work provides a new design idea for the development and optimization of multi-raft WECs.

Journal of Marine Science and EngineeringVol. 12(12)
Quanzhou Normal University (CN), Jiangsu University of Science and Technology (CN), Dalian Maritime University (CN)
Natural Science Foundation of Fujian Province, Quanzhou Normal University
Affordable and clean energy
Openalex Percentile: Top 12%
Wave and Wind Energy Systems
2.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.