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실험계획법 기반 고분자 전해질 연료전지(PEMFC)의 성능 예측 모델 개발

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dc.contributor.author동혜원-
dc.contributor.author조수영-
dc.contributor.author이성준-
dc.contributor.author정재원-
dc.date.accessioned2022-07-15T23:12:25Z-
dc.date.available2022-07-15T23:12:25Z-
dc.date.created2021-05-14-
dc.date.issued2015-04-
dc.identifier.issn2287-5786-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157381-
dc.description.abstractA fuel cell is rising as an upcoming future energy in recent times. The fuel cell is the system generating electricity and heat simultaneously by converting chemical energy. This study suggests the performance prediction model for Polymer Electrolyte Membrane Fuel Cell (PEMFC) using Design of Experiments (DoE) methods. The data was collected from PEMFC experiment based on "Liquid Desiccant Indirect and Direct Evaporative Cooling Assisted 100% Outdoor Air System(LD-IDECOAS)." From this data, three models were derived : power production, heat production, and gas consumption. By analysing these models, we can find critical factors affecting fuel cell performance and optimize operating conditions.-
dc.language한국어-
dc.language.isoko-
dc.publisher대한건축학회-
dc.title실험계획법 기반 고분자 전해질 연료전지(PEMFC)의 성능 예측 모델 개발-
dc.title.alternativeDevelopment of Performance Prediction Model for Polymer Electrolyte Membrane Fuel Cell by Design of Experiments-
dc.typeArticle-
dc.contributor.affiliatedAuthor정재원-
dc.identifier.bibliographicCitation대한건축학회 춘계학술발표대회논문집, v.35, no.1, pp.217 - 218-
dc.relation.isPartOf대한건축학회 춘계학술발표대회논문집-
dc.citation.title대한건축학회 춘계학술발표대회논문집-
dc.citation.volume35-
dc.citation.number1-
dc.citation.startPage217-
dc.citation.endPage218-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass2-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthor연료전지-
dc.subject.keywordAuthor고분자 전해질 연료전지-
dc.subject.keywordAuthor신재생 에너지-
dc.subject.keywordAuthor모델링-
dc.subject.keywordAuthor실험계획법-
dc.subject.keywordAuthorFuel cell-
dc.subject.keywordAuthorPEMFC-
dc.subject.keywordAuthorNew Renewable Energy-
dc.subject.keywordAuthorModeling-
dc.subject.keywordAuthorDesign of Experiments-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE06267369-
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