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dc.contributor.authorTopper, M.B.R.
dc.contributor.authorNava, V. 
dc.contributor.authorCollin, A.J.
dc.contributor.authorBould, D.
dc.contributor.authorFerri, F.
dc.contributor.authorOlson, S.S.
dc.contributor.authorDallmann, A.R.
dc.contributor.authorRoberts, J.D.
dc.contributor.authorRuiz Minguela, P.
dc.contributor.authorJeffrey, H.F.
dc.date.accessioned2019-06-03T13:44:29Z
dc.date.available2019-06-03T13:44:29Z
dc.date.issued2019-09
dc.identifier.issn1364-0321
dc.identifier.urihttp://hdl.handle.net/20.500.11824/980
dc.description.abstractVariability in the predicted cost of energy of an ocean energy converter array is more substantial than for other forms of energy generation, due to the combined stochastic action of weather conditions and failures. If the variability is great enough, then this may influence future financial decisions. This paper provides the unique contribution of quantifying variability in the predicted cost of energy and introduces a framework for investigating reduction of variability through investment in components. Following review of existing methodologies for parametric analysis of ocean energy array design, the development of the DTOcean software tool is presented. DTOcean can quantify variability by simulating the design, deployment and operation of arrays with higher complexity than previous models, designing sub-systems at component level. A case study of a theoretical floating wave energy converter array is used to demonstrate that the variability in levelised cost of energy (LCOE) can be greatest for the smallest arrays and that investment in improved component reliability can reduce both the variability and most likely value of LCOE. A hypothetical study of improved electrical cables and connectors shows reductions in LCOE up to 2.51% and reductions in the variability of LCOE of over 50%; these minima occur for different combinations of components.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectFinancialen_US
dc.subjectVariabilityen_US
dc.subjectEnergyen_US
dc.subjectOceanen_US
dc.subjectWaveen_US
dc.subjectTidalen_US
dc.subjectArraysen_US
dc.titleReducing variability in the cost of energy of ocean energy arraysen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1016/j.rser.2019.05.032
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1364032119303454en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titleRenewable and Sustainable Energy Reviewsen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España