Optimization of carbon dioxide absorption in a continuous bubble column reactor using response surface methodology

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dc.authoridDerakhshandeh, Masoud/0000-0002-7924-8396
dc.contributor.authorGul, Ayse
dc.contributor.authorDerakhshandeh, Masoud
dc.contributor.authorUn, Umran Tezcan
dc.date.accessioned2024-09-11T19:50:08Z
dc.date.available2024-09-11T19:50:08Z
dc.date.issued2023
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractCarbon dioxide absorption using amine based solvents is a well-known approach for carbon dioxide removal. Especially with the increasing concerns about greenhouse gas emissions, there is a need for an optimization approach capable of multifactor calibration and prediction of interactions. Since conventional methods based on empirical relations are not efficiently applicable, this study investigates use of Response Surface Methodology as a strong optimization tool. A bubble column reactor was used and the effect of solvent concentration (10.0, 20.0 and 30.0 vol%), flow rate (4.0, 5.0 and 6.0 L min-1), diffuser pore size (0.5, 1.0 and 1.5 mm) and temperature (20.0, 25.0 and 30.0 degrees C) on the absorption capacity and also overall mass transfer coefficient was evaluated. The optimization results for maintaining maximum capacity and overall mass transfer coefficient revealed that different optimization targets led to different tuned operational factors. Overall mass transfer coefficient decreased to 34.7 min-1 when the maximum capacity was the desired target. High reaction rate along with the highest absorption capacity was set as desirable two factor target in this application. As a result, a third scenario was designed to maximize both mass transfer coefficient and absorption capacity simultaneously. The optimized condition was achieved when a gas flow rate of 5.9 L min-1, MEA solution of 29.6 vol%, diffuser pore size of 0.5 mm and temperature of 20.6 degrees C was adjusted. At this condition, mass transfer coefficient reached a maximum of 38.4 min-1, with a forecasted achievable absorption capacity of 120.5 g CO2 per kg MEA.en_US
dc.description.sponsorshipAnadolu University [1706F386]en_US
dc.description.sponsorshipAnadolu University, Grant/Award Number: 1706F386en_US
dc.identifier.doi10.1002/tqem.22020
dc.identifier.endpage93en_US
dc.identifier.issn1088-1913
dc.identifier.issn1520-6483
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85160864541en_US
dc.identifier.startpage79en_US
dc.identifier.urihttps://doi.org/10.1002/tqem.22020
dc.identifier.urihttps://hdl.handle.net/11363/7568
dc.identifier.volume33en_US
dc.identifier.wosWOS:001190276800013en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofEnvironmental Quality Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectbubble column reactoren_US
dc.subjectcarbon dioxide absorptionen_US
dc.subjectmass transfer coefficienten_US
dc.subjectprocess optimizationen_US
dc.subjectresponse surface methodologyen_US
dc.titleOptimization of carbon dioxide absorption in a continuous bubble column reactor using response surface methodologyen_US
dc.typeArticleen_US

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