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dc.contributor.authorHumadi, J.I.
dc.contributor.authorNawaf, A.T.
dc.contributor.authorJarullah, A.T.
dc.contributor.authorAhmed, M.A.
dc.contributor.authorHameed, S.A.
dc.contributor.authorMujtaba, Iqbal M.
dc.date.accessioned2022-12-31T13:38:37Z
dc.date.accessioned2023-01-25T11:48:42Z
dc.date.available2022-12-31T13:38:37Z
dc.date.available2023-01-25T11:48:42Z
dc.date.issued2023-02
dc.identifier.citationHumadi JI, Nawaf AT, Jarullah AT et al (2022) Design of new nano-catalysts and digital basket reactor for oxidative desulfurization of fuel: experiments and modelling. Chemical Engineering Research and Design. 190: 634-350.en_US
dc.identifier.urihttp://hdl.handle.net/10454/19302
dc.descriptionYesen_US
dc.description.abstractThis study was focused on developing a new catalyst using metal oxide (10 %Mn) over Nano- activated Carbon (Nano-AC) particles and designing a new reactor (digital basket reactor, DBR) for the sulfur removal from kerosene oil via oxidative desulfurization (ODS). The new homemade Nano-catalyst was prepared by utilizing impregnation process and was characterized by SEM, EDX, BET, and FTIR techniques. The performance of ODS process under moderate operating conditions was significantly enhanced by the application of the new catalyst and the new reactor. The results showed that 94 % of the sulfur could be achieved at oxidation temperature of 80 ºC, oxidation time of 35 min and agitation rate of 750 rpm. The reactivity of catalyst was examined after four consecutive ODS cycles under the optimal experimental parameters and the used catalyst showed excellent stability based on oxidation efficiency. The spent catalyst was treated by methanol, ethanol and iso-octane solvents for regenerated it, and the result proved that iso-octane carried out the maximum regeneration performance. An optimization method depending on minimizing the sum of the squared error among the experimental and model predicted data of ODS technology was employed to evaluate the optimal kinetic model parameters of the reaction system. The ODS process model was able to predict the results obtained experimentally for a wide range of conditions very well by absolute average errors<5 %.en_US
dc.language.isoenen_US
dc.rights© 2022 Published by Elsevier Ltd on behalf of Institution of Chemical Engineers. All rights reserved. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.en_US
dc.subjectDesulfurization technologyen_US
dc.subjectDBRen_US
dc.subjectMnO2en_US
dc.subjectNani-AC-supporten_US
dc.subjectOxidant (H2O2)en_US
dc.titleDesign of new nano-catalysts and digital basket reactor for oxidative desulfurization of fuel: experiments and modellingen_US
dc.status.refereedYesen_US
dc.date.Accepted2022-12-28
dc.date.application2022-12-31
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1016/j.cherd.2022.12.043
dc.rights.licenseCC-BY-NC-NDen_US
dc.date.updated2022-12-31T13:38:39Z
refterms.dateFOA2023-01-25T11:49:17Z
dc.openaccess.statusopenAccessen_US


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