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Quantification of economic uncertainty for synthetic natural gas production in a H2O permeable membrane reactor as simultaneous power-to-gas and CO2 utilization technologies

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dc.contributor.authorLee, Boreum-
dc.contributor.authorLee, Hyunjun-
dc.contributor.authorKim, Sehwa-
dc.contributor.authorCho, Hyun-Seok-
dc.contributor.authorCho, Won-Chul-
dc.contributor.authorJeon, Byong Hun-
dc.contributor.authorKim, Chang-Hee-
dc.contributor.authorLim, Hankwon-
dc.date.accessioned2022-07-09T07:33:28Z-
dc.date.available2022-07-09T07:33:28Z-
dc.date.created2021-05-12-
dc.date.issued2019-09-
dc.identifier.issn0360-5442-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/147182-
dc.description.abstractEconomic uncertainty analysis of employing a membrane reactor (MR) equipped with H2O separation membranes for a synthetic natural gas (SNG) production as simultaneous power-to-gas and CO2 utilization technologies was carried out. Based on previously reported reaction kinetics, process simulation models were created for a conventional packed-bed reactor (PBR) and an MR. Deterministic economic analysis showed the unit SNG production cost of 1.67 $ kgSNG(-1) in an MR compared to 1.82 $ kgSNG(-1) in a PBR for a SNG production capacity of 1000 kg d(-1), showing about 8% cost reductions in the MR. From sensitivity analysis, raw material and labor were identified as the key economic factors to affect a unit SNG production cost for all cases studied. Stochastic economic analysis using a Monte-Carlo simulation method provided better insights for economic-uncertainty associated with premature technology like a SNG production in an MR using H2O separation membranes by presenting a wide range of SNG production costs and their probability.-
dc.language영어-
dc.language.isoen-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleQuantification of economic uncertainty for synthetic natural gas production in a H2O permeable membrane reactor as simultaneous power-to-gas and CO2 utilization technologies-
dc.typeArticle-
dc.contributor.affiliatedAuthorJeon, Byong Hun-
dc.identifier.doi10.1016/j.energy.2019.06.073-
dc.identifier.scopusid2-s2.0-85067610604-
dc.identifier.wosid000479021700081-
dc.identifier.bibliographicCitationENERGY, v.182, pp.1058 - 1068-
dc.relation.isPartOfENERGY-
dc.citation.titleENERGY-
dc.citation.volume182-
dc.citation.startPage1058-
dc.citation.endPage1068-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaThermodynamics-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryThermodynamics-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.subject.keywordPlusPEM WATER ELECTROLYSIS-
dc.subject.keywordPlusHYDROGEN-PRODUCTION-
dc.subject.keywordPlusTECHNOECONOMIC ANALYSIS-
dc.subject.keywordPlusMETHANOL PRODUCTION-
dc.subject.keywordPlusCOMPOSITE MEMBRANE-
dc.subject.keywordPlusSTEAM-
dc.subject.keywordPlusPRESSURE-
dc.subject.keywordPlusMETHANATION-
dc.subject.keywordPlusCAPTURE-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordAuthorEconomic analysis-
dc.subject.keywordAuthorPower-to-gas-
dc.subject.keywordAuthorSynthetic natural gas-
dc.subject.keywordAuthorMembrane reactor-
dc.subject.keywordAuthorCO2 utilization-
dc.subject.keywordAuthorUncertainty analysis-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0360544219312046?via%3Dihub-
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