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확률론적 분석기법을 이용한 공동주택 생산단계 베이스라인 제안에 관한 연구

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dc.contributor.author임효진-
dc.contributor.author태성호-
dc.contributor.author김현숙-
dc.date.accessioned2023-09-04T05:39:27Z-
dc.date.available2023-09-04T05:39:27Z-
dc.date.issued2022-10-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114762-
dc.description.abstractIn order to predict and reduce carbon emissions from buildings, it is necessary to establish an objectively comparable baseline model by using information on existing buildings that can be collected. In particular, there is a need for objective standards for carbon reduction in the production stage, which emits about 30% or more of carbon in the life cycle of a building. Therefore, in this study, a baseline for the production stage of residential buildings was proposed as part of the standard setting for greenhouse gas reduction in the building sector. For this purpose, 74 cases of residential buildings were evaluated based on the life cycle evaluation technique, and a baseline of building greenhouse gas emissions in the production stage was proposed through probabilistic analysis.-
dc.format.extent2-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한건축학회-
dc.title확률론적 분석기법을 이용한 공동주택 생산단계 베이스라인 제안에 관한 연구-
dc.title.alternativeA study on the proposal of an apartment house production stage baseline using a probabilistic analysis technique-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation2022년 대한건축학회 추계학술발표대회논문집, v.42, no.2, pp 610 - 611-
dc.citation.title2022년 대한건축학회 추계학술발표대회논문집-
dc.citation.volume42-
dc.citation.number2-
dc.citation.startPage610-
dc.citation.endPage611-
dc.type.docTypeProceeding-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthor건축물 전과정평가-
dc.subject.keywordAuthor베이스라인-
dc.subject.keywordAuthor확률론적 분석-
dc.subject.keywordAuthorLife Cycle Assessment-
dc.subject.keywordAuthorBaseline-
dc.subject.keywordAuthorProbabilistic Analysis-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11162857-
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