Journal
JOURNAL OF CLEANER PRODUCTION
Volume 257, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2020.120436
Keywords
Oxidative desulfurization; Zinc oxide; Air oxidant; Batch reactor; Kinetic parameters estimation
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Due to the environmental legislations related to sulfur content and proceeding with the challenges to find an appropriate catalyst of such contamination producing clean fuel, a main thrust for improving of more efficient technologies on new oxidative catalyst is viewed a vital issue in fuel quality development. So, in this study, the sulfur compound (ethyl mercaptan) presents in light naphtha feedstock is removed by oxidative desulfurization (ODS) in a batch reactor using a new homemade nano-catalyst and air as oxidant under different reaction conditions (reaction temperatures, reaction time and the initial sulfur concentrations) that has not been studied in such field. The catalyst is zinc oxide supported on zeolite nanoparticles which is locally prepared by Incipient Wetness Impregnation (IWI) method. Mathematical model of the relevant reactions is also developed in this study to match the experimental results via obtaining the optimal kinetic parameters utilizing optimization techniques within gPROMS program. Such optimization is conducted using two approaches (linear and nonlinear regression) and the results showed that the nonlinear approach is more accurate than linear approach. The optimal kinetic parameters are then used to achieve a clean fuel via getting the optimal operation conditions based on the maximum conversion. Where, higher than 99% of the process conversion has obtained at temperature of 327.4 K, reaction time at163.6 min and initial concentration of 335.3 ppm. (C) 2020 Elsevier Ltd. All rights reserved.
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