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dc.contributor.authorAstariz, S
dc.contributor.authorIglesias, Gregorio
dc.date.accessioned2017-03-28T12:31:25Z
dc.date.issued2016-08-15
dc.identifier.issn0196-8904
dc.identifier.issn1879-2227
dc.identifier.otherC
dc.identifier.urihttp://hdl.handle.net/10026.1/8707
dc.descriptionpublisher: Elsevier articletitle: Selecting optimum locations for co-located wave and wind energy farms. Part I: The Co-Location Feasibility index journaltitle: Energy Conversion and Management articlelink: http://dx.doi.org/10.1016/j.enconman.2016.05.079 content_type: article copyright: © 2016 Elsevier Ltd. All rights reserved.
dc.description.abstract

Marine energy is poised to play a fundamental role in meeting renewable energy and carbon emission targets thanks to the abundant, and still largely untapped, wave and tidal resources. However, it is often considered difficult and uneconomical – as is usually the case of nascent technologies. Combining various renewables, such as wave and offshore wind energy, has emerged as a solution to improve their competitiveness and in the process overcome other challenges that hinder their development. The objective of this paper is to develop a new approach to identifying suitable sites for co-located wave and wind farms based on the assessment of the available resources and technical constraints, and to illustrate its application by means of a case study off the Danish coast – an area of interest for combining wave and wind energy. The method is based on an ad hoc tool, the Co-Location Feasibility (CLF) index, and is based on a joint characterisation of the wave and wind resources, which takes into account not only the available power but also the correlation between both resources and the power variability. The analysis is carried out based on hindcast data and observations from 2005 to 2015, and using third-generation models of winds and waves – WAsP and SWAN, respectively. Upon selection and ranking, it is found that a number of sites in the study region are indeed suited to realising the synergies between wave and offshore wind energy. The approach developed in this work can be applied elsewhere.

dc.format.extent589-598
dc.languageen
dc.language.isoen
dc.publisherElsevier BV
dc.subjectWave energy
dc.subjectWind energy
dc.subjectCo-located wind-wave farm
dc.subjectNorth Sea
dc.subjectPower variability
dc.subjectCross-correlation factor
dc.titleSelecting optimum locations for co-located wave and wind energy farms. Part I: The Co-Location Feasibility index
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000379632600054&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.volume122
plymouth.publication-statusPublished
plymouth.journalEnergy Conversion and Management
dc.identifier.doi10.1016/j.enconman.2016.05.079
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
dcterms.dateAccepted2016-05-27
dc.rights.embargodate2017-6-4
dc.identifier.eissn1879-2227
dc.rights.embargoperiod12 months
rioxxterms.versionofrecord10.1016/j.enconman.2016.05.079
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved
rioxxterms.licenseref.startdate2016-08-15
rioxxterms.typeJournal Article/Review


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