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Process modeling and kinetic estimation for desulfurization of diesel fuel using nano - ZnO/Al2O3

Jasim I. Humadi, Muayad A. Shihab, Ghazwan S. Ahmed, Mustafa Ahmed, Zeyad M. Abdullah, Shankar Sehgal

2023Chemical Industry and Chemical Engineering Quarterly13 citationsDOIOpen Access PDF

Abstract

In the present paper, a gamma alumina (?-Al2O3) loaded zinc oxide (ZnO) nano-catalyst (ZnO/?-Al2O3) has been synthesized and used to accelerate the removal of sulfur compounds from light gas oil by oxidative desulfurization (ODS) process. The synthesized nano-catalysts have been characterized by atomic force microscopy (AFM) and Brunauer-Emmett-Teller (BET). The ODS process has been conducted in a batch reactor at various reaction temperatures and batch times varying between 30 to 90 ?C and 20 to 80 min, respectively. DBT removal was highest (93.781%) while using synthesized nano-catalyst (9% ZnO/?-Al2O3) at 90?C and 80 min reaction time. Based on the obtained experimental data, a new mathematical modeling technique was performed for the ODS operation under mild experimental conditions to evaluate the most appropriate kinetic variables for the newly synthesized nano-catalysts. Simulation results indicate a good match with experimental observations with less than 5% absolute average error for all runs. The optimization procedure of the process condition displays that > 98% DBT could be eliminated within 200 min, at 87 ?C, in the existence of synthesized nano-catalyst (9% ZnO/?-Al2O3).

Topics & Concepts

Flue-gas desulfurizationNano-Diesel fuelProcess (computing)Process engineeringEstimationMaterials scienceEnvironmental scienceChemical engineeringWaste managementEngineeringComputer scienceSystems engineeringOperating systemCatalysis and Hydrodesulfurization StudiesThermal and Kinetic AnalysisCatalytic Processes in Materials Science
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