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dc.contributor.authorPerez-Valdes, Gerardo Alfredo
dc.contributor.authorFufa, Selamawit Mamo
dc.contributor.authorFjellheim, Kristin
dc.date.accessioned2022-09-14T05:33:16Z
dc.date.available2022-09-14T05:33:16Z
dc.date.created2022-01-25T14:29:03Z
dc.date.issued2022
dc.identifier.citationE3S Web of Conferences. 2022, 349 .en_US
dc.identifier.issn2267-1242
dc.identifier.urihttps://hdl.handle.net/11250/3017640
dc.description.abstractGiven that most of the world’s building stock for the next 30 years already exists today, renovation of existing buildings and infrastructure represent an important pathway towards a more sustainable future. The aim of this paper was twofold: 1) to evaluate potentials for waste reduction, efficient resource utilization, economic advantages and GHG emission reduction in rehabilitation in comparison with building new, 2) demonstrate the usefulness of input-output analysis in evaluation of value creation and employment potential, and environmental effects of changes in the building stock. A macroeconomic, input-output model developed by SINTEF is used in a methodology to make comparative assessments on future scenarios on building and renovation strategies. Preliminary results show how the strategies analysed provide pros and cons when different macroeconomic indicators (value added, GHG emissions, energy efficiency) are considered. Future works will improve technical data and macroeconomic assumptions, as integrate policy analysis into the methodology.en_US
dc.language.isoengen_US
dc.publisherEDP Sciencesen_US
dc.rightsCC BY 4.0*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titlePotentials for emission reduction and value creation in the rehabilitation of existing building stock using input-output analysisen_US
dc.title.alternativePotentials for emission reduction and value creation in the rehabilitation of existing building stock using input-output analysisen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The authorsen_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.pagenumber7en_US
dc.source.volume349en_US
dc.source.journalE3S Web of Conferencesen_US
dc.identifier.doi10.1051/e3sconf/202234904010
dc.identifier.cristin1989612
dc.source.articlenumber04010en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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