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Catalytic conversion modeling of methanol in dehydration reactor using Voronoi 3D pore network model

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dc.contributor.author Li, Min
dc.contributor.author Khan, Afrasyab
dc.contributor.author Mahlouji, Mohammad Davar
dc.contributor.author Zare, Masoud Habibi
dc.contributor.author Albadarin, Ahmad B.
dc.date.accessioned 2021-09-07T13:32:01Z
dc.date.available 2021-09-07T13:32:01Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/10344/10545
dc.description peer-reviewed en_US
dc.description.abstract Dimethyl ether as a clean fuel has been attracted in the recent decade. It can be produced in the catalytic reaction of methanol dehydration. Modeling and simulation of the fixed-bed reactor for this process is desired to predict the reactor performance. A Voronoi 3-dimensional pore net work model for the reactor is used to study the effect of pore space on the reactor performance. Considering the morphological structure of the pore space is one of the advantages of this model. In this study, pore network modeling was used to consider mass and heat transfer both in the reac tor and catalyst scales. The effectiveness factor results for the catalyst scale are used for the reactor simulations and the effect of methanol temperature and concentration on reactor performance is studied. The results indicated that the reduction of flow rate increases reactants residence time in the reactor and consequently increases the amount of conversion. The inlet methanol concentration had a significant influence on the conversion and the methanol concentration in the middle of the reactor increased from 22 to 34 mol/m3 when its purity decreased from 99 to 97%. en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Arabian Journal of Chemistry;14, 103284
dc.subject dimethyl ether en_US
dc.subject methanol en_US
dc.subject effectiveness factor en_US
dc.subject fixed bed reactor en_US
dc.subject pore network en_US
dc.title Catalytic conversion modeling of methanol in dehydration reactor using Voronoi 3D pore network model en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1016/j.arabjc.2021.103284
dc.contributor.sponsor Russian Government and Institute of Engineering and Technology en_US
dc.relation.projectid 02. A03.21.0011 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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