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dc.contributor.authorTian, Yuqin
dc.contributor.authorAbed, Azher M.
dc.contributor.authorAljeboree, Aseel M.
dc.contributor.authorMohammed, Halah T.
dc.contributor.authorIzzat, Samar Emad
dc.contributor.authorZare, Masoud Habibi
dc.contributor.authorKotb, Hossam
dc.contributor.authorSarkar, Shaheen M.
dc.date.accessioned2023-09-04T14:40:06Z
dc.date.available2023-09-04T14:40:06Z
dc.date.copyright2022
dc.date.issued2022-09-23
dc.identifier.citationTian, Y., Abed, A. M., Aljeboree, A. M., Mohammed, H. T., Izzat, S. E., Zare, M. H., Kotb, H. and Sarkar, S. M. (2022) Green process of fuel production under porous γ-Al2O3 catalyst: Study of activation and deactivation kinetic for MTD process. Arabian Journal of Chemistry, 15(12), 104287. https://doi.org/10.1016/j.arabjc.2022.104287.en_US
dc.identifier.issn1878-5352
dc.identifier.urihttps://research.thea.ie/handle/20.500.12065/4582
dc.description.abstractOne of the methods of industrial dimethyl ether production is the catalytic dehydration of methanol. In this research work, methanol dehydration reactor has been modeled using continuous model and its results have been compared with experimental works and Voronoi pore network model. A 1D heterogeneous dispersed plug flow model was utilized to model an adiabatic fixed-bed reactor for the catalytic dehydration of methanol to dimethyl ether. The mass and heat transfer equations are numerically solved for the reactor. The concentration of the reactant and products and also the temperature varies along the reactor, therefore the effectiveness factor would also change in the reactor. We used the the effectiveness factor that was simulated according to the diffusion and reaction in the catalyst pellet as a Voronoi pore network model. Sensitivity analysis was performed to determine the influence of T, P and weight hourly space velocity on performance of the chemical reactor. Acceptable agreement was reached between the measured and the model data. The results showed that the maximum reaction conversion was obtained about 90 % at WHSV = 10 h−1 and T = 560 K, while the inlet temperature (Tinlet) had a greater effect on methanol conversion. In addition, the effect of water in the feed on methanol conversion was quantitatively studied. Also, the deactivation kinetics of γ-Al2O3 heterogeneous-acidic catalyst in methanol to dimethyl ether dehydration process was studied using integral analysis method. Based on independent deactivation kinetics, a second order was found that accurately fitted the experimental conversion time data. The main reaction activation energies and catalyst deactivation energies were 143.1 and −102.1 kJ/mol, respectively.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofArabian Journal of Chemistryen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectModelingen_US
dc.subjectFixed bed reactoren_US
dc.subjectMethanol dehydrationen_US
dc.subjectDimethyl etheren_US
dc.subjectContinuous modelen_US
dc.subjectMathematical and kinetic of modelingen_US
dc.subjecty-Al2O3 catalysten_US
dc.titleGreen process of fuel production under porous y-Al2O3 catalyst: Study of activation and deactivation kinetic for MTD processen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.contributor.affiliationTechnological University of the Shannon: Midlands Midwesten_US
dc.description.peerreviewyesen_US
dc.identifier.doi10.1016/j.arabjc.2022.104287en_US
dc.identifier.issue12en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-7741-678Xen_US
dc.identifier.startpage104287en_US
dc.identifier.volume15en_US
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.departmentDepartment of Applied Scienceen_US
dc.type.versioninfo:eu-repo/semantics/publishedVersionen_US


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Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International