Performance enhancement of adsorption desulfurization process via different new nano-catalysts using digital baffle batch reactor and mathematical modeling
dc.contributor.author | Nawaf, A.T. | |
dc.contributor.author | Hamed, H.H. | |
dc.contributor.author | Hameed, S.A. | |
dc.contributor.author | Jarullah, A.T. | |
dc.contributor.author | Abdulateef, L.T. | |
dc.contributor.author | Mujtaba, Iqbal | |
dc.date.accessioned | 2022-03-17T13:15:59Z | |
dc.date.accessioned | 2022-03-18T10:00:26Z | |
dc.date.available | 2022-03-17T13:15:59Z | |
dc.date.available | 2022-03-18T10:00:26Z | |
dc.date.issued | 2021-03 | |
dc.identifier.citation | Nawaf AT, Hamed HH, Hameed SA et al (2021) Performance enhancement of adsorption desulfurization process via different new nano-catalysts using digital baffle batch reactor and mathematical modelling. Chemical Engineering Sciences, 232: 116384. | en_US |
dc.identifier.uri | http://hdl.handle.net/10454/18791 | |
dc.description | Yes | en_US |
dc.description.abstract | Several new homemade nano-catalysts are prepared here to reduce sulfur compound found in light gas oil (LGO) utilizing the adsorption desulfurization technique. The effect of different support materials (Fe2O3, Cr2O3 and CdO) having the same particle size (20 nm) on the adsorptive desulfurization performance for loading 5% nickel sulfate (5 wt%NiO) as an active component for each catalyst, is studied. Oxidative desulfurization process (ODS) in a novel digital baffle batch reactor (DBBR) is used to evaluate the performance of the catalysts prepared. Moderate operating conditions are employed for the ODS process. The efficient new nano-catalysts with for the removal of sulfur are found to be 93.4%, 85.6% and 62.1% for NiO/Fe2O3, NiO/Cr2O3 and NiO/CdO, respectively at 175 deg C, 75 min and 2 ml of H2O2. The best kinetic model and the half-live period for the nano-catalysts related to the relevant reactions have also been investigated here. | en_US |
dc.language.iso | en | en_US |
dc.rights | © 2021 Elsevier. 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. | |
dc.subject | Adsorption desulfurization | en_US |
dc.subject | DBBR | en_US |
dc.subject | H2O2 | en_US |
dc.subject | Nano catalyst | en_US |
dc.subject | Mathematical model | en_US |
dc.title | Performance enhancement of adsorption desulfurization process via different new nano-catalysts using digital baffle batch reactor and mathematical modeling | en_US |
dc.status.refereed | Yes | en_US |
dc.date.application | 2020-12-17 | |
dc.type | Article | en_US |
dc.type.version | Accepted manuscript | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.ces.2020.116384 | |
dc.rights.license | Unspecified | en_US |
dc.date.updated | 2022-03-17T13:16:00Z | |
refterms.dateFOA | 2022-03-18T10:01:08Z | |
dc.openaccess.status | openAccess | en_US |
dc.date.accepted | 2020-12-12 |