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dc.contributor.authorGuo, B
dc.contributor.authorZheng, S
dc.contributor.authorRingwood, J
dc.contributor.authorHenriques, J
dc.contributor.authorZhang, D
dc.date.accessioned2022-01-18T14:26:51Z
dc.date.available2022-01-18T14:26:51Z
dc.date.issued2021-10-26
dc.identifier.issn1752-1416
dc.identifier.issn1752-1424
dc.identifier.urihttp://hdl.handle.net/10026.1/18581
dc.description.abstract

Ocean waves are a largely untapped energy resource, and the global wave energy potential is estimated at about 32,000 TWh/year. Due to its great potential to provide renewable and sustainable electricity without carbon dioxide emission, wave energy conversion technology has attracted extensive attention from multi-disciplinary communities. Compared with wind and solar power, power from ocean waves is characterised by high power density and high spatio-temporal availability. However, the levelised cost of energy (LCoE) from ocean waves is higher than that from wind and solar radiation. The LCoE of wave energy can be reduced by technical innovations, especially in novel concepts, key components, real-time control systems and so forth. In addition, wave energy conversion systems can be integrated into offshore structures to provide cost-effective power and form multifunction platforms.

This Special Issue aims to update recent advances related to wave energy conversion systems all over the world. There are, in total, 32 papers accepted for publication after careful peer review and revisions. The authors are based in 13 different countries/regions, including United Kingdom, Ireland, China, Australia, America, Brazil and so forth, covering five continents, that is, Europe, Asia, Australia, North America and South America. These selected papers are broadly categorised into six topics: (A) wave analysis and prediction, (B) modelling of wave energy converters (WECs) and wave farms, (C) control system design and implementation, (D) model validation and case studies, (E) novel concepts and integrated systems and (F) WEC optimisation and grid connection.

dc.format.extent3039-3044
dc.languageen
dc.language.isoen
dc.publisherInstitution of Engineering and Technology (IET)
dc.subject40 Engineering
dc.subject4008 Electrical Engineering
dc.subject4009 Electronics, Sensors and Digital Hardware
dc.subject4011 Environmental Engineering
dc.titleGuest Editorial: Advances in Wave Energy Conversion Systems
dc.typejournal-article
dc.typeEditorial Material
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000705030900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue14
plymouth.volume15
plymouth.publisher-urlhttp://dx.doi.org/10.1049/rpg2.12303
plymouth.publication-statusPublished
plymouth.journalIET Renewable Power Generation
dc.identifier.doi10.1049/rpg2.12303
plymouth.organisational-group/Plymouth
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/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2021-09-23
dc.rights.embargodate2022-1-19
dc.identifier.eissn1752-1424
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1049/rpg2.12303
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-10-26
rioxxterms.typeJournal Article/Review


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