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Membrane separation process for CO2 capture from mixed gases using TR and XTR hollow fiber membranes: Process modeling and experiments

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dc.contributor.authorLee, Sunghoon-
dc.contributor.authorBinns, Michael-
dc.contributor.authorLee, Jung Hyun-
dc.contributor.authorMoon, Jong-Ho-
dc.contributor.authorYeo, Jeong-Gu-
dc.contributor.authorYeo, Yeong-Koo-
dc.contributor.authorLee, Young Moo-
dc.contributor.authorKim, Jin-Kuk-
dc.date.accessioned2024-08-08T07:31:29Z-
dc.date.available2024-08-08T07:31:29Z-
dc.date.issued2017-11-
dc.identifier.issn0376-7388-
dc.identifier.issn1873-3123-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/19806-
dc.description.abstractNumerous membrane models have been developed and tested for the simulation of membrane processes. However, these models are often either simplified or only validated with a narrow range of experimental data. For the model-based process design of membrane systems it is necessary to have a validated and accurate model which is accurate for the range of possible operating conditions under consideration. Hence, in this study a modeling framework is developed for hollow fiber membranes which can be adjusted systematically to accurately predict the performance of a given membrane. Mixed-gas (CO2/O-2/N-2 and CO2/N-2) separation experiments are carried out over a range of different feed conditions to evaluate membrane performance and to provide reliable measurements of gas permeance. In particular the feed pressure (1-4 bar), permeate pressure (0.1-0.5 bar) and feed flow rates (0.096-0.4 N m(3)/h) are varied in these experiments (the ranges specified in brackets). Interpolation of these measured permeance allows for the accurate prediction of membrane performance at any conditions inside the measured range. A tanks-in-series modeling approach is employed here where the number of tanks (used to represent the membrane behavior in a numerical formulation) can be adjusted to calibrate and fit the membrane model to experimental results. For the membranes tested in this study it is found that using a relatively small number of tanks both minimizes the difference between model and experimental results and reduces the numerical complexity in the membrane model.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER SCIENCE BV-
dc.titleMembrane separation process for CO2 capture from mixed gases using TR and XTR hollow fiber membranes: Process modeling and experiments-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.memsci.2017.07.003-
dc.identifier.scopusid2-s2.0-85022021343-
dc.identifier.wosid000408371400023-
dc.identifier.bibliographicCitationJOURNAL OF MEMBRANE SCIENCE, v.541, pp 224 - 234-
dc.citation.titleJOURNAL OF MEMBRANE SCIENCE-
dc.citation.volume541-
dc.citation.startPage224-
dc.citation.endPage234-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaPolymer Science-
dc.relation.journalWebOfScienceCategoryEngineering, Chemical-
dc.relation.journalWebOfScienceCategoryPolymer Science-
dc.subject.keywordPlusPOSTCOMBUSTION CARBON CAPTURE-
dc.subject.keywordPlusDIOXIDE CAPTURE-
dc.subject.keywordPlusCROSS-FLOW-
dc.subject.keywordPlusPERMEATION-
dc.subject.keywordPlusSIMULATION-
dc.subject.keywordPlusCOUNTERCURRENT-
dc.subject.keywordPlusMIXTURES-
dc.subject.keywordPlusPLASTICIZATION-
dc.subject.keywordPlusTRANSPORT-
dc.subject.keywordPlusCOCURRENT-
dc.subject.keywordAuthorMembrane process-
dc.subject.keywordAuthorCO2 capture-
dc.subject.keywordAuthorPermeance regression-
dc.subject.keywordAuthorTanks-in-series model-
dc.subject.keywordAuthorNewton-Raphson method-
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