Oxidative desulfurization of model fuel using a NiO-MoO3 catalyst supported by activated carbon: Optimization study
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 concen...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | South African Journal of Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S102691852200097X |
| _version_ | 1828066624309035008 |
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| author | Sura Ahmed Abdulhadi Hameed Hussein Alwan |
| author_facet | Sura Ahmed Abdulhadi Hameed Hussein Alwan |
| author_sort | Sura Ahmed Abdulhadi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T23:34:15Z |
| format | Article |
| id | doaj.art-b4c93010daac4ec3974d32ea280509ff |
| institution | Directory Open Access Journal |
| issn | 1026-9185 |
| language | English |
| last_indexed | 2024-04-10T23:34:15Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | South African Journal of Chemical Engineering |
| spelling | doaj.art-b4c93010daac4ec3974d32ea280509ff2023-01-12T04:18:26ZengElsevierSouth African Journal of Chemical Engineering1026-91852023-01-0143190196Oxidative desulfurization of model fuel using a NiO-MoO3 catalyst supported by activated carbon: Optimization studySura Ahmed Abdulhadi0Hameed Hussein Alwan1Chemical Engineering department, College of Engineering, University of Babylon, IraqCorresponding author.; Chemical Engineering department, College of Engineering, University of Babylon, IraqIn 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.http://www.sciencedirect.com/science/article/pii/S102691852200097XActivated carbonModel fuelAnalysis of varianceBox-Behnken designOxidative desulfurizationDibenzothiophene |
| spellingShingle | Sura Ahmed Abdulhadi Hameed Hussein Alwan Oxidative desulfurization of model fuel using a NiO-MoO3 catalyst supported by activated carbon: Optimization study South African Journal of Chemical Engineering Activated carbon Model fuel Analysis of variance Box-Behnken design Oxidative desulfurization Dibenzothiophene |
| title | Oxidative desulfurization of model fuel using a NiO-MoO3 catalyst supported by activated carbon: Optimization study |
| title_full | Oxidative desulfurization of model fuel using a NiO-MoO3 catalyst supported by activated carbon: Optimization study |
| title_fullStr | Oxidative desulfurization of model fuel using a NiO-MoO3 catalyst supported by activated carbon: Optimization study |
| title_full_unstemmed | Oxidative desulfurization of model fuel using a NiO-MoO3 catalyst supported by activated carbon: Optimization study |
| title_short | Oxidative desulfurization of model fuel using a NiO-MoO3 catalyst supported by activated carbon: Optimization study |
| title_sort | oxidative desulfurization of model fuel using a nio moo3 catalyst supported by activated carbon optimization study |
| topic | Activated carbon Model fuel Analysis of variance Box-Behnken design Oxidative desulfurization Dibenzothiophene |
| url | http://www.sciencedirect.com/science/article/pii/S102691852200097X |
| work_keys_str_mv | AT suraahmedabdulhadi oxidativedesulfurizationofmodelfuelusinganiomoo3catalystsupportedbyactivatedcarbonoptimizationstudy AT hameedhusseinalwan oxidativedesulfurizationofmodelfuelusinganiomoo3catalystsupportedbyactivatedcarbonoptimizationstudy |