Show simple item record

dc.contributor.authorSandberg, Nina Holck
dc.contributor.authorSartori, Igor
dc.contributor.authorHeidrich, Oliver
dc.contributor.authorDawson, Richard
dc.contributor.authorDascalaki, Elena
dc.contributor.authorDimitriou, Stella
dc.contributor.authorTomáš Vimm-r
dc.contributor.authorFilippidou, Faidra
dc.contributor.authorGašper Stegnar
dc.contributor.authorSijanec Zavrl, Marjana
dc.contributor.authorBrattebø, Helge
dc.date.accessioned2017-08-15T11:41:26Z
dc.date.available2017-08-15T11:41:26Z
dc.date.created2016-08-08T13:32:38Z
dc.date.issued2016
dc.identifier.citationEnergy and Buildings. 2016, 132 26-38.nb_NO
dc.identifier.issn0378-7788
dc.identifier.urihttp://hdl.handle.net/11250/2450773
dc.description.abstractA dynamic building stock model is applied to simulate the development of dwelling stocks in 11 European countries, over half of all European dwellings, between 1900 and 2050. The model uses time series of population and number of persons per dwelling, as well as demolition and renovation probability functions that have been derived for each country. The model performs well at simulating the long-term changes in dwelling stock composition and expected annual renovation activities. Despite differences in data collection and reporting, the modelled future trends for construction, demolition and renovation activities lead to similar patterns emerging in all countries. The model estimates future renovation activity due to the stock's need for maintenance as a result of ageing. The simulations show only minor future increases in the renovation rates across all 11 countries to between 0.6–1.6%, falling short of the 2.5–3.0% renovation rates that are assumed in many decarbonisation scenarios. Despite this, 78% of all dwellings could benefit from energy efficiency measures by 2050, either as they are constructed (31%) or undergo deep renovation (47%). However, as no more than one deep renovation cycle is likely on this timeframe, it is crucial to install the most energy efficient measures available at these opportunities.nb_NO
dc.language.isoengnb_NO
dc.publisherElsevier B.V.nb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectDynamic modellingnb_NO
dc.subjectComparative analysisnb_NO
dc.subjectDwelling stocknb_NO
dc.subjectHousingnb_NO
dc.subjectRenovationnb_NO
dc.subjectEnergy efficiencynb_NO
dc.subjectEuropenb_NO
dc.subjectEfficiency measurenb_NO
dc.subjectEuropean Countriesnb_NO
dc.subjectProbability functionsnb_NO
dc.subjectRenovationnb_NO
dc.subjectStock composistionnb_NO
dc.subjectBuildingsnb_NO
dc.subjectDemolitionnb_NO
dc.subjectDynamic modelsnb_NO
dc.titleDynamic building stock modelling: Application to 11 European countries to support the energy efficiency and retrofit ambitions of the EUnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holder© 2016 The Authors.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).nb_NO
dc.subject.nsiVDP::Technology: 500nb_NO
dc.source.pagenumber26-38nb_NO
dc.source.volume132nb_NO
dc.source.journalEnergy and Buildingsnb_NO
dc.identifier.doi10.1016/j.enbuild.2016.05.100
dc.identifier.cristin1371153
cristin.unitcode7401,30,20,0
cristin.unitnameBygninger og installasjoner
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal