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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/96800
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dc.contributor.authorHong, S.-
dc.contributor.authorBradshaw, C.-
dc.contributor.authorBrook, B.-
dc.date.issued2014-
dc.identifier.citationApplied Energy, 2014; 136(C):712-725-
dc.identifier.issn0306-2619-
dc.identifier.issn1872-9118-
dc.identifier.urihttp://hdl.handle.net/2440/96800-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilitySanghyun Hong, Corey J.A. Bradshaw, Barry W. Brook-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2014 Elsevier Ltd. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.apenergy.2014.09.062-
dc.subjectFuture electricity mix; Genetic algorithm; Nuclear power; Renewable energy; Decarbonization-
dc.titleNuclear power can reduce emissions and maintain a strong economy: Rating Australia's optimal future electricity-generation mix by technologies and policies-
dc.typeJournal article-
dc.identifier.doi10.1016/j.apenergy.2014.09.062-
pubs.publication-statusPublished-
dc.identifier.orcidBradshaw, C. [0000-0002-5328-7741]-
Appears in Collections:Aurora harvest 7
Molecular and Biomedical Science publications

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