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dc.contributor.authorTopper, Mathew B.R.
dc.contributor.authorNava, Vincenzo
dc.contributor.authorCollin, Adam J.
dc.contributor.authorBould, David
dc.contributor.authorFerri, Francesco
dc.contributor.authorOlson, Sterling S.
dc.contributor.authorDallman, Ann R.
dc.contributor.authorRoberts, Jesse D.
dc.contributor.authorRuiz-Minguela, Pablo
dc.contributor.authorJeffrey, Henry F.
dc.date.accessioned2019-06-12T10:34:00Z
dc.date.available2019-06-12T10:34:00Z
dc.date.issued2019-09
dc.identifier.citationTopper, Mathew B.R., Vincenzo Nava, Adam J. Collin, David Bould, Francesco Ferri, Sterling S. Olson, Ann R. Dallman, Jesse D. Roberts, Pablo Ruiz-Minguela, and Henry F. Jeffrey. “Reducing Variability in the Cost of Energy of Ocean Energy Arrays.” Renewable and Sustainable Energy Reviews 112 (September 2019): 263–279. doi:10.1016/j.rser.2019.05.032.en
dc.identifier.issn1364-0321en
dc.identifier.urihttp://hdl.handle.net/11556/720
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
dc.description.sponsorshipThe research leading to this publication is part of the DTOceanPlus project which has received funding from the EuropeanUnion's Horizon 2020 research and innovation programme under grant agreement No 785921. Funding was also received from the European Community's Seventh Framework Programme for the DTOcean Project (grant agreement No. 608597). The contribution of Sandia National Laboratories was funded by the U.S. Department of Energy's Water Power Technologies Office. Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. The image of the RM3 device, in Fig. 7, was reproduced with the permission of Sandia National Laboratoriesen
dc.language.isoengen
dc.publisherElsevier Ltden
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleReducing variability in the cost of energy of ocean energy arraysen
dc.typearticleen
dc.identifier.doi10.1016/j.rser.2019.05.032en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/608597/EU/Optimal Design Tools for Ocean Energy Arrays/DTOCEANen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/785921/EU/Advanced Design Tools for Ocean Energy Systems Innovation, Development and Deployment/DTOceanPlusen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsFinancialen
dc.subject.keywordsVariabilityen
dc.subject.keywordsEnergyen
dc.subject.keywordsOceanen
dc.subject.keywordsWaveen
dc.subject.keywordsTidalen
dc.subject.keywordsArraysen
dc.journal.titleRenewable and Sustainable Energy Reviewsen
dc.page.final279en
dc.page.initial263en
dc.volume.number112en


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    Attribution 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution 4.0 International