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Cited 13 time in webofscience Cited 14 time in scopus
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Dynamic modeling of building heat network system using Simulink

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dc.contributor.authorLim, Sehwa-
dc.contributor.authorPark, Sungjin-
dc.contributor.authorChung, Haseung-
dc.contributor.authorKim, Minsung-
dc.contributor.authorBaik, Young-Jin-
dc.contributor.authorShin, Seungwon-
dc.date.available2020-07-10T07:05:25Z-
dc.date.created2020-07-06-
dc.date.issued2015-06-05-
dc.identifier.issn1359-4311-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/9791-
dc.description.abstractDue to the sudden increase of energy consumption from modernization and civilization, energy efficiency has become an important issue in engineering devices. Much research effort has been made to enhance the performance of individual thermal devices. However, enhanced thermal devices are usually components in a larger thermal system such as an energy network connected by pipe networks to circulate an energy-carrying medium. Even when each component operates at maximum efficiency, the general system may not work in harmony to a full extent. Thus optimizing the full thermal system would increase the energy utilization efficiency even further and ultimately decrease the amount of CO2 emission. In this paper, we developed a numerical model for estimating heat flow and temperature variation in a complex energy network system using Simulink in Matlab. Emphasis has been made on heat pump's intermittent operation, where the system can be shut down for specific periods of time. A special thermal routine for the pipe was devised where the conduction becomes major heat transfer mode during the night. The code we developed was validated by comparing experimental data, and detailed analysis on system components' temperature variations and energy flow characteristic are provided. (C) 2015 Elsevier Ltd. All rights reserved.-
dc.language영어-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.subjectENERGY-
dc.subjectOPTIMIZATION-
dc.titleDynamic modeling of building heat network system using Simulink-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Sungjin-
dc.contributor.affiliatedAuthorChung, Haseung-
dc.contributor.affiliatedAuthorShin, Seungwon-
dc.identifier.doi10.1016/j.applthermaleng.2015.03.068-
dc.identifier.scopusid2-s2.0-84927914854-
dc.identifier.wosid000355495700038-
dc.identifier.bibliographicCitationAPPLIED THERMAL ENGINEERING, v.84, pp.375 - 389-
dc.relation.isPartOfAPPLIED THERMAL ENGINEERING-
dc.citation.titleAPPLIED THERMAL ENGINEERING-
dc.citation.volume84-
dc.citation.startPage375-
dc.citation.endPage389-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaThermodynamics-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMechanics-
dc.relation.journalWebOfScienceCategoryThermodynamics-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryEngineering, Mechanical-
dc.relation.journalWebOfScienceCategoryMechanics-
dc.subject.keywordPlusENERGY-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordAuthorDynamic analysis-
dc.subject.keywordAuthorEnergy network-
dc.subject.keywordAuthorSimulink-
dc.subject.keywordAuthorThermal model-
dc.subject.keywordAuthorDistrict heating-
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