Performance estimation of resonance-enhanced dual-buoy wave energy converter using coupled time-domain simulation

Jin, Chungkuk; Kang, HeonYong; Kim, MooHyun; Cho, Ilhyoung

doi:10.1016/j.renene.2020.07.075

Title: Performance estimation of resonance-enhanced dual-buoy wave energy converter using coupled time-domain simulation

Journal Article · Wed Jul 22 00:00:00 EDT 2020 · Renewable Energy

DOI:https://doi.org/10.1016/j.renene.2020.07.075· OSTI ID:1848849

Jin, Chungkuk ^[1]; Kang, HeonYong ^[1]; Kim, MooHyun ^[1]; Cho, Ilhyoung ^[2]

Texas A & M Univ., College Station, TX (United States). Dept. of Ocean Engineering
Jeju National Univ., Jeju (Korea, Republic of). Dept. of Ocean System Engineering

This article presents the modeling methodology and performance evaluation of the resonance-enhanced dual-buoy WEC (Wave Energy Converter) by HEM (hydrodynamic & electro-magnetic) fully-coupled-dynamics time-domain-simulation program. The numerical results are systematically compared with the authors’ 1/6-scale experiment. With a direct-drive linear generator, the WEC consists of dual floating cylinders and a moon-pool between the cylinders, which can utilize three resonance phenomena from moon-pool dynamics as well as heave motions of inner and outer buoys. The contact and friction between the two buoys observed in the experiment are also properly modeled in the time-domain simulation by the Coulomb-friction model. Moon-pool resonance peaks significantly exaggerated in linear potential theory are empirically adjusted through comparisons with measured values. A systematic comparative study between the simulations and experiments with and without PTO (power-take-off) is conducted, and the relative heave displacements/velocities and power outputs are well matched. Then, parametric studies are carried out with the simulation program to determine optimum generator parameters. The performance with various wave conditions is also assessed.

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Research Organization:: Texas A & M Univ., College Station, TX (United States). Texas A & M Engineering Experiment Station

Sponsoring Organization:: National Research Foundation of Korea (NRF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office

Grant/Contract Number:: EE0008630; 2017R1A5A1014883

OSTI ID:: 1848849

Alternate ID(s):: OSTI ID: 1809693

Journal Information:: Renewable Energy, Vol. 160, Issue C; ISSN 0960-1481

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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