From technology pathways to policy roadmaps to enabling measures – A multi-model approach

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dc.contributor.author Mulholland, Eamonn
dc.contributor.author Rogan, Fionn
dc.contributor.author Ó Gallachóir, Brian P.
dc.date.accessioned 2017-09-12T11:44:04Z
dc.date.available 2017-09-12T11:44:04Z
dc.date.issued 2017-07-21
dc.identifier.citation Mulholland, E., Rogan, F. and Ó Gallachóir, B. P. (2017) 'From technology pathways to policy roadmaps to enabling measures – A multi-model approach', Energy, 138, pp. 1030-1041. doi: 10.1016/j.energy.2017.07.116 en
dc.identifier.volume 138 en
dc.identifier.startpage 1030 en
dc.identifier.endpage 1041 en
dc.identifier.issn 0360-5442
dc.identifier.uri http://hdl.handle.net/10468/4688
dc.identifier.doi 10.1016/j.energy.2017.07.116
dc.description.abstract Integrating a range of complementary energy models is becoming an increasingly common method for informing low carbon energy pathways at both national and global levels. Multi-modelling approaches facilitate improved understanding of the detailed technology pathways required to meet decarbonisation targets; however, to-date there has been limited attention on the policy roadmaps and enabling measures that might achieve these decarbonisation targets. This paper addresses this gap by developing a multi-model approach using an energy systems optimisation model, a sectoral simulation model together with scrutiny of individual policy measures to explore decarbonisation of the private car sector in the Irish transport system commensurate with an 80% reduction in national carbon emissions by 2050. The results comprise a cost optimal technology pathway for private cars in a future energy system constrained by a maximum level of carbon emissions, a policy roadmap identifying annual changes in energy efficiency, renewable energy and electrification, and a suite of enabling measures including changes to vehicle registration tax, a biofuel obligation on suppliers and a suite of measures to increase the share of electric vehicles in the fleet. The level of confidence in the different enabling measures to achieve the policy goals is compared and discussed. en
dc.description.sponsorship Environmental Protection Agency (EPA 2014-CCRP-MS.24); Innovationsfonden, Denmark (COMETS 4106-00033A); Science Foundation Ireland (MaREI Centre (12/RC/2302)) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier en
dc.relation.uri http://www.sciencedirect.com/science/article/pii/S0360544217312276
dc.rights © 2017 Published by Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.subject Technology pathways en
dc.subject Policy roadmaps en
dc.subject Enabling measures en
dc.subject Optimisation modelling en
dc.subject Sectoral simulation modelling en
dc.subject Ex-post and ex-ante analysis en
dc.title From technology pathways to policy roadmaps to enabling measures – A multi-model approach en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Brian O Gallachoir, School Of Enginering Office, University College Cork, Cork, Ireland. +353-21-490-3000 Email: b.ogallachoir@ucc.ie en
dc.internal.availability Full text available en
dc.check.info Access to this article is restricted until 24 months after publication by request of the publisher. en
dc.check.date 2019-07-21
dc.date.updated 2017-09-12T11:32:47Z
dc.description.version Accepted Version en
dc.internal.rssid 410774582
dc.contributor.funder Environmental Protection Agency en
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder Innovationsfonden, Denmark
dc.description.status Peer reviewed en
dc.identifier.journaltitle Energy en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress b.ogallachoir@ucc.ie en


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© 2017 Published by Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license. Except where otherwise noted, this item's license is described as © 2017 Published by Elsevier Ltd. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
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