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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

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.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
plymouth.journalRenewable Energy
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

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