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

Metadata Updated: January 20, 2025

This paper 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.

Highlights: 1. Dual-cylinder wave energy converter with moon-pool is designed to use three resonances. 2. Interaction between the dual cylinder and the linear generator is solved in time domain. 3. The proposed simulation model correlated to the experiments provides coincided results with experiments. 4. Moon-pool and guiding mechanisms between the cylinders influence dynamic response and power notably. 5. Optimum parameters of the linear generator are found using the correlated model.

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Public: This dataset is intended for public access and use. License: Creative Commons Attribution

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Dates

Metadata Created Date January 11, 2025
Metadata Updated Date January 20, 2025

Metadata Source

Harvested from OpenEI data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date January 11, 2025
Metadata Updated Date January 20, 2025
Publisher Texas A&M University
Maintainer
Identifier https://data.openei.org/submissions/7982
Data First Published 2020-08-31T06:00:00Z
Data Last Modified 2024-05-16T21:16:07Z
Public Access Level public
Bureau Code 019:20
Metadata Context https://openei.org/data.json
Metadata Catalog ID https://openei.org/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Quality True
Datagov Dedupe Retained 20250120171954
Harvest Object Id f6e74378-9e04-4aca-baad-39c8d8a0c265
Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
Harvest Source Title OpenEI data.json
Homepage URL https://mhkdr.openei.org/submissions/331
License https://creativecommons.org/licenses/by/4.0/
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Program Code 019:009
Projectlead Carrie Noonan
Projectnumber EE0008630
Projecttitle An Innovative SR-WEC for a Market-Disruptive LCOE
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