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dc.contributor.authorDing, H
dc.contributor.authorDong, Y
dc.contributor.authorZhang, Y
dc.contributor.authorYang, Y
dc.contributor.authorWen, C
dc.date.accessioned2022-10-03T10:40:30Z
dc.date.issued2022-09-21
dc.date.updated2022-10-03T09:16:40Z
dc.description.abstractCarbon capture and storage (CCS) is one of the most promising technologies to tackle climate challenges. The separation of carbon dioxide (CO2) is the key step to achieve the economic and technical objectives of CCS. The present study proposes a potential strategy to separate CO2 using the phase change behavior in supersonic flows, which is not only a clean process of CO2 processing but also provides an efficient way to maximum utilize the thermal energy. To this end, a condensation flow model based on the real gas thermodynamics is developed to obtain an accurate evaluation of the heat and mass transfer due to the homogeneous condensation process of CO2 in supersonic flows. The prediction accuracy of the ideal gas model and real gas model is compared, and the result shows that the real gas condensation model presents a more accurate prediction of CO2 supersonic condensation with the root mean square error (RMSE) of 0.0147. The sensitivity of the two models to inlet pressure is analyzed, which shows that the ideal gas model under-estimated the liquid fractions of CO2 condensation by 2.8% of the total mass as well as over-estimated the latent heat by 20.1% at Wilson point during the heat transfer process. The condensation performances and Wilson point characteristics of CO2 are analyzed by using the real gas model. The prediction model of the relationship between the degree of supercooling, pressure, and expansion rate at the Wilson point was established with the mean relative error of 0.176% and the relative RMSE of 2.275% respectively, which is of great help for further forecasting to obtain the regularity of known data for CO2 separation in supersonic flows.en_GB
dc.description.sponsorshipNational Natural Science Foundation of Chinaen_GB
dc.format.extent122153-
dc.identifier.citationVol. 303, article 122153en_GB
dc.identifier.doihttps://doi.org/10.1016/j.seppur.2022.122153
dc.identifier.grantnumber52276159en_GB
dc.identifier.grantnumber51876143en_GB
dc.identifier.grantnumber62073135en_GB
dc.identifier.urihttp://hdl.handle.net/10871/131067
dc.identifierORCID: 0000-0002-4445-1589 (Wen, Chuang)
dc.identifierScopusID: 36454182800 (Wen, Chuang)
dc.identifierResearcherID: I-5663-2016 (Wen, Chuang)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectCarbon captureen_GB
dc.subjectCO2 separationen_GB
dc.subjectSupersonic flowen_GB
dc.subjectEnergy conversionen_GB
dc.subjectCarbon emissionen_GB
dc.titleA potential strategy of carbon dioxide separation using supersonic flowsen_GB
dc.typeArticleen_GB
dc.date.available2022-10-03T10:40:30Z
dc.identifier.issn1383-5866
exeter.article-number122153
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.identifier.journalSeparation and Purification Technologyen_GB
dc.relation.ispartofSeparation and Purification Technology, 303
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-09-15
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-09-21
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-10-03T10:38:16Z
refterms.versionFCDVoR
refterms.dateFOA2022-10-03T10:40:35Z
refterms.panelBen_GB


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© 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).