Parameter optimization of a floating two-buoy wave energy converter
dc.contributor.author | Li, D | |
dc.contributor.author | Borthwick, AGL | |
dc.contributor.author | Jiang, C | |
dc.contributor.author | Sharma, S | |
dc.contributor.author | Dong, X | |
dc.contributor.author | Li, Y | |
dc.contributor.author | Shi, H | |
dc.date.accessioned | 2024-05-01T16:14:40Z | |
dc.date.available | 2024-05-01T16:14:40Z | |
dc.date.issued | 2024-03-15 | |
dc.identifier.issn | 0029-8018 | |
dc.identifier.other | 117043 | |
dc.identifier.uri | https://pearl.plymouth.ac.uk/handle/10026.1/22427 | |
dc.description.abstract |
A geometric optimization methodology of a floating two-buoy wave energy converter is proposed based on a combination of the design of experiment method for sensitivity analysis of geometric parameters and hydrodynamic calculation of optimal performance in the time-domain. Viscosity-corrected fitting curves obtained from physical test data are incorporated in the time-domain simulation to improve model accuracy. Constant, linear, and quadratic power take-off models are applied to the two-buoy system, and the optimal power take-off model identified and applied to the optimization process. The configuration of geometric parameters is selected by means of the central composite design method within a prescribed parameter space. AQWA-WEC-Sim co-simulations in the time domain are used to determine the optimal capture width ratio for different geometric parameters. A response surface methodology is employed in conjunction with central composite design to establish empirical equations that predict the maximum capture width ratio (as an objective function) based on three geometric parameters, without need for multiple boundary element simulations. Parameter sensitivity and interaction effects on energy absorption are examined, and optimal dimensions determined according to maximum absorbed energy. The proposed optimization method is computationally efficient and could facilitate parametric optimization of devices of arbitrary geometry. | |
dc.format.extent | 117043-117043 | |
dc.language | en | |
dc.publisher | Elsevier BV | |
dc.subject | 4015 Maritime Engineering | |
dc.subject | 40 Engineering | |
dc.subject | 7 Affordable and Clean Energy | |
dc.title | Parameter optimization of a floating two-buoy wave energy converter | |
dc.type | journal-article | |
dc.type | Journal Article | |
plymouth.volume | 296 | |
plymouth.publisher-url | http://dx.doi.org/10.1016/j.oceaneng.2024.117043 | |
plymouth.publication-status | Published | |
plymouth.journal | Ocean Engineering | |
dc.identifier.doi | 10.1016/j.oceaneng.2024.117043 | |
plymouth.organisational-group | |Plymouth | |
plymouth.organisational-group | |Plymouth|Research Groups | |
plymouth.organisational-group | |Plymouth|Faculty of Science and Engineering | |
plymouth.organisational-group | |Plymouth|Faculty of Science and Engineering|School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | |Plymouth|Research Groups|Marine Institute | |
plymouth.organisational-group | |Plymouth|REF 2021 Researchers by UoA | |
plymouth.organisational-group | |Plymouth|Users by role | |
plymouth.organisational-group | |Plymouth|Users by role|Current Academic staff | |
plymouth.organisational-group | |Plymouth|REF 2021 Researchers by UoA|UoA12 Engineering | |
plymouth.organisational-group | |Plymouth|REF 2029 Researchers by UoA | |
plymouth.organisational-group | |Plymouth|REF 2029 Researchers by UoA|UoA12 Engineering | |
dcterms.dateAccepted | 2024-02-04 | |
dc.date.updated | 2024-05-01T16:14:39Z | |
dc.rights.embargodate | 2026-2-9 | |
rioxxterms.versionofrecord | 10.1016/j.oceaneng.2024.117043 |