CO2 capture over amine-functionalized MCM-41 and SBA-15: Exploratory analysis and decision tree classification of past data

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dc.authoridGünay, M. Erdem/0000-0003-1282-718X|Davran-Candan, Tugba/0000-0002-3736-3134
dc.authorwosidGünay, M. Erdem/I-1564-2019
dc.authorwosidYILDIRIM, RAMAZAN/AAQ-4867-2020
dc.contributor.authorYildiz, Merve G.
dc.contributor.authorDavran-Candan, Tugba
dc.contributor.authorGunay, M. Erdem
dc.contributor.authorYildirim, Ramazan
dc.date.accessioned2024-07-18T20:42:46Z
dc.date.available2024-07-18T20:42:46Z
dc.date.issued2019
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractThis study aims to extract knowledge for CO2 capture by amine-functionalized mesoporous silica (MCM-41 and SBA-15) through exploratory analysis and decision tree classification of the data reported in over 100 papers published between the years 2002 and 2017. A database containing 1039 data points showing the effects of 15 input variables (grouped in four as support properties, preparation method, amine properties and operational variables) over two performance variables as CO2 adsorption capacity and amine efficiency (CO2 captured/amino groups involved) was constructed. Box and whisker plots were applied (as a part of exploratory data analysis) to determine how various input variables influence the performance variables. Moreover, decision tree classification was used to determine the relative significance of the input variables and the possible combinations of these variables leading to high performance (to deduce heuristics for high CO2 uptake). It was found from the exploratory data analysis that amine density was the most significant variable affecting the adsorption capacity whereas remaining pore volume and adsorption temperature were the most influential variables in case of amine efficiency. Furthermore, various combinations of input variables leading to high CO2 capture performance were revealed through the decision tree analysis, all of which may be used as guidelines for future studies in this area.en_US
dc.identifier.doi10.1016/j.jcou.2019.02.010
dc.identifier.endpage42en_US
dc.identifier.issn2212-9820
dc.identifier.issn2212-9839
dc.identifier.scopus2-s2.0-85062732374en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage27en_US
dc.identifier.urihttps://doi.org/10.1016/j.jcou.2019.02.010
dc.identifier.urihttps://hdl.handle.net/11411/7415
dc.identifier.volume31en_US
dc.identifier.wosWOS:000464979200004en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofJournal of Co2 Utilizationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCo2 Adsorptionen_US
dc.subjectAmine-Functionalized Sorbentsen_US
dc.subjectMesoporous Silicaen_US
dc.subjectData Miningen_US
dc.subjectDecision Treesen_US
dc.subjectBox And Whisker Ploten_US
dc.subjectPore-Expanded Mcm-41en_US
dc.subjectOrdered Mesoporous Silicaen_US
dc.subjectCarbon-Dioxideen_US
dc.subjectAdsorption Performanceen_US
dc.subjectPromising Adsorbenten_US
dc.subjectMolecular-Sieveen_US
dc.subjectHigh-Capacityen_US
dc.subjectSorbentsen_US
dc.subjectRemovalen_US
dc.subjectEquilibriumen_US
dc.titleCO2 capture over amine-functionalized MCM-41 and SBA-15: Exploratory analysis and decision tree classification of past dataen_US
dc.typeArticleen_US

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