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dc.contributor.authorGöçer, Özgür
dc.contributor.authorHua, Y.
dc.contributor.authorGöçer, Kenan
dc.date.accessioned2016-09-18T13:10:05Z
dc.date.available2016-09-18T13:10:05Z
dc.date.issued2016-10
dc.identifier.issn1996-8744
dc.identifier.urihttp://hdl.handle.net/10679/4456
dc.identifier.urihttp://link.springer.com/article/10.1007/s12273-016-0293-4
dc.descriptionDue to copyright restrictions, the access to the full text of this article is only available via subscription.
dc.description.abstractIn response to rising energy costs and the impetus to reduce environmental impacts, upgrading the large building stock that is responsible for 40% of the total energy consumption to maximum energy efficiency is becoming an important task. Despite the many benefits associated with retrofit projects, they are still only slowly being implemented because of the many challenges that exist. One of these challenges is optimizing the decision between renovation scenarios based on economic and environmental goals, which can be made possible with an accurate pre-retrofit model. The intention of this paper is to introduce a pre-retrofit model that efficiently obtains and integrates multiple forms of building data as a critical step to develop a comprehensive understanding of a building to be renovated. Opportunities for utilizing building information modeling (BIM) and geographical information systems (GIS) for retrofitting projects were explored through the study of a historical campus building. With the use of as-is geometric data and as-is data, building data maps were obtained. The next step of this study is to use the model to conduct scenarios comparison and optimize renovation decision based on economic and environmental goals.
dc.description.sponsorshipJoan & Irwin Jacobs Technion-Cornell Innovation Institute (JTCII) ; TÜBİTAK
dc.language.isoengen_US
dc.publisherSpringer Nature
dc.relation.ispartofBuilding Simulation
dc.rightsrestrictedAccess
dc.titleA BIM-GIS integrated pre-retrofit model for building data mappingen_US
dc.typeArticleen_US
dc.peerreviewedyes
dc.publicationstatuspublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID & YÖK ID 107845) Göçer, Kenan
dc.contributor.authorID(ORCID 0000-0002-3978-440X & YÖK ID 107765) Göçer, Özgür
dc.contributor.ozuauthorGöçer, Özgür
dc.contributor.ozuauthorGöçer, Kenan
dc.identifier.volume9
dc.identifier.startpage513
dc.identifier.endpage527
dc.identifier.wosWOS:000383846800002
dc.identifier.doi10.1007/s12273-016-0293-4
dc.subject.keywordsPre-retrofitting
dc.subject.keywordsAs-is built modeling
dc.subject.keywordsPost-occupancy evaluation
dc.subject.keywordsBuilding information modeling (BIM)
dc.subject.keywordsGeographical information systems (GIS)
dc.subject.keywordsData mapping
dc.identifier.scopusSCOPUS:2-s2.0-84978049941
dc.contributor.authorMale1
dc.contributor.authorFemale1


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