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dc.contributor.authorLausselet, Carine
dc.contributor.authorRokseth, Lillian Sve
dc.contributor.authorLien, Synne Krekling
dc.contributor.authorBergsdal, Håvard
dc.contributor.authorTønnesen, J.
dc.contributor.authorBrattebø, Helge
dc.contributor.authorSandberg, Nina Holck
dc.date.accessioned2022-12-05T09:28:04Z
dc.date.available2022-12-05T09:28:04Z
dc.date.created2022-10-03T09:18:11Z
dc.date.issued2022
dc.identifier.issn0378-7788
dc.identifier.urihttps://hdl.handle.net/11250/3035796
dc.description.abstractA geo-referenced building stock model was used to analyse the energy and climate performance of the Knowledge Axis in Trondheim, Norway, by 2050. Strategies for energy upgrades, construction of more energy-efficient new constructions, changes in heating technologies, and their implications in terms of energy savings and greenhouse gas (GHG) emissions associated with energy and materials are assessed through various scenarios. Thematic maps were used to display the development of the total floor area and energy use. Compared to the baseline scenario for the same year, the energy savings range from 2 to 9%, 2–14%, and 2–19% in 2030, 2040, and 2050, respectively. New passive house constructions combined with energy upgrades in renovation projects and the maximum use of heat pumps have the greatest energy-saving potential. Our results displayed a large variation in the total net GHG emissions as a result of the alternative emission factors. The total net GHG emissions are primarily affected by the energy savings (amplified by assuming fossil fuel as the marginal mix), electricity mix (Norwegian or European), and allocation chosen for the incinerated waste to feed the district heating system.en_US
dc.language.isoengen_US
dc.publisherElsevier Scienceen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleGeo-referenced building stock analysis as a basis for local-level energy and climate mitigation strategiesen_US
dc.title.alternativeGeo-referenced building stock analysis as a basis for local-level energy and climate mitigation strategiesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume276en_US
dc.source.journalEnergy and Buildingsen_US
dc.identifier.doi10.1016/j.enbuild.2022.112504
dc.identifier.cristin2057644
dc.relation.projectNorges forskningsråd: 257660en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextoriginal
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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal