Rodyti trumpą aprašą

dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorRutė, Jevgenija
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorDaniūnas, Alfonsas
dc.contributor.authorPruskus, Valdas
dc.contributor.authorBivainis, Juozas
dc.contributor.authorGudauskas, Renaldas
dc.contributor.authorPlakys, Vytautas
dc.date.accessioned2023-09-18T19:00:44Z
dc.date.available2023-09-18T19:00:44Z
dc.date.issued2012
dc.identifier.issn0378-7788
dc.identifier.other(BIS)VGT02-000024455
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/134535
dc.description.abstractThe Passive House, along with models of its composite parts, has been developed globally. Simulation tools analyze its energy use, comfort, micro-climate, quality of life and esthetics as well as its technical, economic, legal/regulatory, educational and innovative aspects. Meanwhile the social, cultural, ethical, psychological, emotional, religious and ethnic aspects operating over the course of the existence of a Passive House are given minimal attention or are ignored entirely. However, all the aspects mentioned must be analyzed in an integrated manner during the time a Passive House is in existence. The authors of this article implemented this goal while they participated in two Intelligent Energy Europe programs, the NorthPass and the IDES-EDU projects. The Passive House model for quantitative and qualitative analyses and its intelligent system was developed during the time of these projects. The model and intelligent system are briefly described in this article, which ends with a case study.eng
dc.formatPDF
dc.format.extentp. 7-18
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbyScienceDirect
dc.relation.isreferencedbyAcademic Search Complete
dc.source.urihttp://www.sciencedirect.com/science/article/pii/S0378778812001569
dc.titlePassive house model for quantitative and qualitative analyses and its intelligent system
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references51
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas Klaipėdos valstybinė kolegija
dc.contributor.institutionLietuvos nacionalinė Martyno Mažvydo biblioteka
dc.contributor.facultyVilniaus Gedimino technikos universitetas / Vilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.facultyKūrybinių industrijų fakultetas / Faculty of Creative Industries
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.enPassive house
dc.subject.enModel
dc.subject.enIntelligent system
dc.subject.enMultiple criteria analysis
dcterms.sourcetitleEnergy and buildings
dc.description.volumeVol. 50
dc.publisher.nameElsevier
dc.publisher.cityLausanne
dc.identifier.doiKOL02-000002048
dc.identifier.doi000306040100002
dc.identifier.doi10.1016/j.enbuild.2012.03.008
dc.identifier.elaba3979215


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Rodyti trumpą aprašą