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액체식 제습 냉방시스템의 설계 수용액 농도 예측 모델 개발

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dc.contributor.author이재희-
dc.contributor.author정재원-
dc.date.accessioned2023-08-01T06:40:59Z-
dc.date.available2023-08-01T06:40:59Z-
dc.date.created2023-07-21-
dc.date.issued2022-05-
dc.identifier.issn1975-3616-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/188444-
dc.description.abstractIn this study, the converged desiccant-solution concentrations which significantly affect the dehumidification and regenerationperformances were estimated based on mass balance equations, and simplified polynomial regression models were develop topredict the converged concentrations, thereby utilizing them as design solution concentration. The prediction models of solutionconverged concentrations in the absorber and regenerator have R-squares of 0.9719 and 0.9804, respectively, indicating highstatistical accuracy. Therefore, the prediction models developed in this study can be used to establish combinations of solutiondesign concentrations under various operating parameters.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국생태환경건축학회-
dc.title액체식 제습 냉방시스템의 설계 수용액 농도 예측 모델 개발-
dc.title.alternativeSimplified Model for Predicting Design Desiccant Solution Concentration for Liquid-Desiccant Based Air Conditioning System-
dc.typeArticle-
dc.contributor.affiliatedAuthor정재원-
dc.identifier.bibliographicCitation한국생태환경건축학회 춘계학술발표대회 논문집, v.22, no.1, pp.94 - 95-
dc.relation.isPartOf한국생태환경건축학회 춘계학술발표대회 논문집-
dc.citation.title한국생태환경건축학회 춘계학술발표대회 논문집-
dc.citation.volume22-
dc.citation.number1-
dc.citation.startPage94-
dc.citation.endPage95-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthor액체식 제습시스템-
dc.subject.keywordAuthor설계 수용액 농도-
dc.subject.keywordAuthor예측 모델-
dc.subject.keywordAuthorLiquid-desiccant system-
dc.subject.keywordAuthorDesign concentration-
dc.subject.keywordAuthorPrediction mode-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11060589-
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