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dc.contributor.authorZhi Yung Tay
dc.contributor.authorVengatesan Venugopal
dc.date.accessioned2017-12-30T13:02:37Z
dc.date.available2017-12-30T13:02:37Z
dc.date.issued2017
dc.identifier.other%28ASCE%29WW.1943-5460.0000368.pdf
dc.identifier.urihttp://138.201.223.254:8080/yetl1/handle/yetl/4244933
dc.description.abstractThe oscillating wave surge converter (OWSC) is a type of ocean wave power device typically consisting of a flap, or arm, hinged at the bottom to allow forward and backward movement by surging waves, and is efficient in generating electricity from waves due to its capability in operating at a wide range of wave spectra. The power generated from the OWSC could be further maximized by arranging the devices in an array at their optimal spacing. This paper addresses the optimization of device configuration within an array by using the genetic algorithm (GA) scheme, for which the spacings between devices are taken as the optimization variables, and the maximum q-factor is chosen as the objective function. The q-factor is a performance assessment parameter that quantifies the average total power produced by an array compared to an individual device. Three array layouts—namely, the single-, double-, and triple-array, each comprising 12 OWSCs—were considered. The pitch response amplitude operator (RAO) of each device in the array was evaluated, from which the power generated and q-factor were determined. The influence of different wave periods and their propagation directions on the array optimal spacing and q-factor was investigated. This study shows that the optimal spacing is highly correlated to the scattering parameter. The results presented here will aid engineers in selecting appropriate spacing that would maximize the power production. The results also provide an enhanced understanding of the performance of the OWSC array when arranged in different configurations.
dc.publisherAmerican Society of Civil Engineers
dc.titleOptimization of Spacing for Oscillating Wave Surge Converter Arrays Using Genetic Algorithm
dc.typeJournal Paper
dc.journal.volume143
dc.journal.issue2
dc.journal.titleJournal of Waterway, Port, Coastal, and Ocean Engineering
dc.identifier.doi10.1061/(ASCE)WW.1943-5460.0000368
dc.page04016019
dc.treeJournal of Waterway, Port, Coastal, and Ocean Engineering:;2017:;Volume ( 143 ):;issue: 002
dc.contenttypeFulltext


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