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dc.contributor.authorAmini, Erfan
dc.contributor.authorGolbaz, Danial
dc.contributor.authorAsadi, Rojin
dc.contributor.authorNasiri, Mandieh
dc.contributor.authorCeylan, Oğuzhan
dc.contributor.authorNezhad, Meysam Majidi
dc.contributor.authorNeshat, Mehdi
dc.date.accessioned2021-07-12T21:00:47Z
dc.date.available2021-07-12T21:00:47Z
dc.date.issued2021
dc.identifier.other2077-1312
dc.identifier.urihttps://hdl.handle.net/20.500.12469/4052
dc.description.abstractOne of the most encouraging sorts of renewable energy is ocean wave energy. In spite of a large number of investigations in this field during the last decade, wave energy technologies are recognised as neither mature nor broadly commercialised compared to other renewable energy technologies. In this paper, we develop and optimise Power Take-off (PTO) configurations of a well-known wave energy converter (WEC) called a point absorber. This WEC is a fully submerged buoy with three tethers, which was proposed and developed by Carnegie Clean Energy Company in Australia. Optimising the WEC's PTO parameters is a challenging engineering problem due to the high dimensionality and complexity of the search space. This research compares the performance of five state-of-the-art metaheuristics (including Covariance Matrix Adaptation Evolution Strategy, Gray Wolf optimiser, Harris Hawks optimisation, and Grasshopper Optimisation Algorithm) based on the real wave scenario in Sydney sea state. The experimental achievements show that the Multiverse optimisation (MVO) algorithm performs better than the other metaheuristics applied in this work.en_US
dc.language.isoEnglishen_US
dc.publisherMDPIen_US
dc.subjectwave energy converteren_US
dc.subjectpower take-off systemen_US
dc.subjectoptimisationen_US
dc.subjectevolutionary algorithmsen_US
dc.subjectmetaheuristicen_US
dc.titleA Comparative Study of Metaheuristic Algorithms for Wave Energy Converter Power Take-Off Optimisation: A Case Study for Eastern Australiaen_US
dc.typeArticleen_US
dc.relation.journalJOURNAL OF MARINE SCIENCE AND ENGINEERINGen_US
dc.identifier.issue5en_US
dc.identifier.volume9en_US
dc.identifier.wos000662384500001en_US
dc.identifier.doi10.3390/jmse9050490en_US
dc.contributor.khasauthorCeylan, Oğuzhanen_US


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