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dc.contributor.authorArvesen, Anders
dc.contributor.authorLuderer, Gunnar
dc.contributor.authorPehl, Michaja
dc.contributor.authorBodirsky, Benjamin Leon
dc.contributor.authorHertwich, Edgar G.
dc.date.accessioned2019-02-14T09:05:00Z
dc.date.available2019-02-14T09:05:00Z
dc.date.created2018-10-12T15:48:07Z
dc.date.issued2018
dc.identifier.citationEnvironmental Modelling & Software. 2018, 99 111-125.nb_NO
dc.identifier.issn1364-8152
dc.identifier.urihttp://hdl.handle.net/11250/2585375
dc.description.abstractThe fields of life cycle assessment (LCA) and integrated assessment (IA) modelling today have similar interests in assessing macro-level transformation pathways with a broad view of environmental concerns. Prevailing IA models lack a life cycle perspective, while LCA has traditionally been static- and micro-oriented. We develop a general method for deriving coefficients from detailed, bottom-up LCA suitable for application in IA models, thus allowing IA analysts to explore the life cycle impacts of technology and scenario alternatives. The method decomposes LCA coefficients into life cycle phases and energy carrier use by industries, thus facilitating attribution of life cycle effects to appropriate years, and consistent and comprehensive use of IA model-specific scenario data when the LCA coefficients are applied in IA scenario modelling. We demonstrate the application of the method for global electricity supply to 2050 and provide numerical results (as supplementary material) for future use by IA analysts.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleDeriving life cycle assessment coefficients for application in integrated assessment modellingnb_NO
dc.title.alternativeDeriving life cycle assessment coefficients for application in integrated assessment modellingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber111-125nb_NO
dc.source.volume99nb_NO
dc.source.journalEnvironmental Modelling & Softwarenb_NO
dc.identifier.doi10.1016/j.envsoft.2017.09.010
dc.identifier.cristin1620089
dc.relation.projectNorges forskningsråd: 209697nb_NO
dc.description.localcode© 2017. This is the authors’ accepted and refereed manuscript to the article. Locked until 31.10.2019 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,64,25,0
cristin.unitnameInstitutt for energi- og prosessteknikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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