Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/9242
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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.authorVimm-r, Tomáš-
dc.contributor.authorFilippidou, Faidra-
dc.contributor.authorStegnar, Gašper-
dc.contributor.authorŠijanec Zavrl, Marjana-
dc.contributor.authorBrattebø, Helge-
dc.contributor.otherΔημητρίου, Στέλλα-
dc.date.accessioned2017-01-25T14:34:38Z-
dc.date.available2017-01-25T14:34:38Z-
dc.date.issued2016-11-15-
dc.identifier.citationEnergy and Buildings, 2016, Volume 132, Pages 26-38en_US
dc.identifier.issn03787788-
dc.identifier.urihttp://ktisis.cut.ac.cy/handle/10488/9242-
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.en_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2016 The Authorsen_US
dc.subjectComparative analysisen_US
dc.subjectDwelling stocken_US
dc.subjectDynamic modellingen_US
dc.subjectEnergy efficiencyen_US
dc.subjectEuropeen_US
dc.subjectHousingen_US
dc.subjectRenovationen_US
dc.titleDynamic building stock modelling: Application to 11 European countries to support the energy efficiency and retrofit ambitions of the EUen_US
dc.typeArticleen_US
dc.doihttp://dx.doi.org/10.1016/j.enbuild.2016.05.100en_US
dc.collaborationNorwegian University of Science and Technologyen_US
dc.collaborationSINTEFen_US
dc.collaborationNewcastle Universityen_US
dc.collaborationNational Observatory of Athensen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationSTÚ-Ken_US
dc.collaborationDelft University of Technologyen_US
dc.collaborationBuilding and Civil Engineering Institute ZRMKen_US
dc.subject.categoryCivil Engineeringen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsSubscription Journalen_US
dc.countryNorwayen_US
dc.countryUnited Kingdomen_US
dc.countryGreeceen_US
dc.countryCyprusen_US
dc.countryNetherlandsen_US
dc.countrySloveniaen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1other-
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