4.6 Article

Performance enhancement of adsorption desulfurization process via different new nano-catalysts using digital baffle batch reactor and mathematical modeling

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CHEMICAL ENGINEERING SCIENCE
卷 232, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2020.116384

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Adsorption desulfurization; DBBR; H2O2; Nano catalyst; Mathematical model

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Several new homemade nano-catalysts were prepared to reduce sulfur compounds in light gas oil using adsorption desulfurization technique. The performance of these catalysts was evaluated through oxidative desulfurization process, showing removal efficiencies of 93.4%, 85.6%, and 62.1% for different catalysts under specific conditions. The study also investigated the best kinetic model and half-life period for the nano-catalysts involved in the relevant reactions.
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 degrees 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. (C) 2020 Elsevier Ltd. All rights reserved.

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