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dc.contributor.authorWang, D
dc.contributor.authorJin, S
dc.contributor.authorHann, M
dc.contributor.authorConley, D
dc.contributor.authorCollins, K
dc.contributor.authorGreaves, D
dc.date.accessioned2023-05-16T16:46:58Z
dc.date.available2023-05-16T16:46:58Z
dc.date.issued2023-01
dc.identifier.issn0960-1481
dc.identifier.issn1879-0682
dc.identifier.urihttps://pearl.plymouth.ac.uk/handle/10026.1/20894
dc.description.abstract

For the physical model testing of wave energy converters (WECs) in the wave basin, it is necessary to test the models in a small number of sea states. Previously, the H – T binning method was widely used to determine the sea states that are representative of an ocean area. However, it omitted much useful information such as the wave directionality. In this paper, a novel method, the K-means clustering technique is used in combination with High Frequency (HF) radar measured data from Wave Hub, UK. The results show that K-means clustering method better preserves the characteristics of the ocean area than the binning method. Furthermore, the impact of different regrouping methods on assessing the annual energy output of the model is investigated, by applying the K-means clustering method to a 1:25 two-body hinged raft WEC. It is found that although non-linear performance can be clearly observed in the model both physically and numerically. Due to the fact that most sea states from Wave Hub are out of the non-linearity range of the model, the non-linear effect on the overall performance of the WEC model in this ocean area is limited. It allows the annual energy output to be accurately predicted by using only a small number of representative sea states (defined as K) ≤15, based on K-means clustering method.

dc.format.extent103-115
dc.languageen
dc.publisherElsevier BV
dc.subjectK -means clustering
dc.subjectBinning method
dc.subjectHF radar
dc.subjectHinged raft WEC
dc.subjectPhysical modelling
dc.subjectWEC-Sim numerical modelling
dc.titlePower output estimation of a two-body hinged raft wave energy converter using HF radar measured representative sea states at Wave Hub in the UK
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000901597300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume202
plymouth.publisher-urlhttp://dx.doi.org/10.1016/j.renene.2022.11.048
plymouth.publication-statusPublished
plymouth.journalRenewable Energy
dc.identifier.doi10.1016/j.renene.2022.11.048
plymouth.organisational-group|Plymouth
plymouth.organisational-group|Plymouth|Research Groups
plymouth.organisational-group|Plymouth|PRIMaRE Publications
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|Faculty of Science and Engineering|School of Biological and Marine Sciences
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|Academics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA|UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA|UoA12 Engineering
plymouth.organisational-group|Plymouth|Users by role|Researchers in ResearchFish submission
plymouth.organisational-group|Plymouth|Research Groups|COAST Engineering Research Group
dcterms.dateAccepted2022-11-12
dc.date.updated2023-05-16T16:46:44Z
dc.rights.embargodate2023-11-18
dc.identifier.eissn1879-0682
dc.rights.embargoperiodforever
rioxxterms.versionofrecord10.1016/j.renene.2022.11.048


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