Oxidative desulfurization of model fuel using a NiO-MoO3 catalyst supported by activated carbon: Optimization study

•The presence of sulfur with fuel should be removed or minimized to control the environment pollution, equipment corrosion and catalyst poisoning.•Oxidative desulfurization process has attractive importance for sulfur removal.•Activated carbon support (NiO-MoO3) for catalyst which used from sulfur f...

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Bibliographic Details
Published in:	South African journal of chemical engineering Vol. 43; pp. 190 - 196
Main Authors:	Abdulhadi, Sura Ahmed, Alwan, Hameed Hussein
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01-01-2023 Elsevier
Subjects:	Activated carbon Analysis of variance Box-Behnken design Dibenzothiophene Model fuel Oxidative desulfurization Model fuel Oxidative desulfurization Box-Behnken design Activated carbon Analysis of variance Dibenzothiophene
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Summary:	•The presence of sulfur with fuel should be removed or minimized to control the environment pollution, equipment corrosion and catalyst poisoning.•Oxidative desulfurization process has attractive importance for sulfur removal.•Activated carbon support (NiO-MoO3) for catalyst which used from sulfur from simulated fuel (DBT dissolved in n-heptane).•Molybdenum oxide based catalyst is deactivated with rapid rate, the effect of adding nickel oxide was examined on DBT oxidation. In this study, oxidative desulfurization of dibenzothiophene (DBT) with an H2O2-acetic acid system whereas the catalyst used is molybdenum oxide supported on activated carbon (AC). The effect of loading nickel oxide as a promoter as well as the impact of catalyst dosage and the initial sulfur concentration were investigated. The ranges for these parameters are catalyst dosage (0.5–1.5) g, nickel loading (2–6) wt.% and initial sulfur concentration (400–800) ppm. A Response Surface Methodology (RSM) combined with Box-Behnken design (BBD) was utilized to evaluate the impacts of studied variables; the evaluation consists of the level of order significance of each factor, the interaction effects of parameters was analyzed with Analysis of variance (ANOVA) and determine the optimum conditions for oxidative desulfurization (ODS). Results showed that sulfur removal efficiency from model fuel ranged between 23 and 71%, and these results were fitted with a second-order polynomial model with a high correlation coefficient R2 (0.9719). The optimal condition for DBT oxidation is 0.5 g. Ni wt. 6% and 700 ppm for catalyst dosage, nickel loading, and initial sulfur concentration respectively.
ISSN:	1026-9185
DOI:	10.1016/j.sajce.2022.10.010