Scale-up of oxidative desulfurization for sour diesel fuel: Modeling, simulation, and reactor design using Fe/AC catalyst

Modeling and simulation at the bench scale are crucial for understanding industrial process behavior, particularly in oxidative desulfurization (ODS). Mathematical models are powerful tools in chemical process engineering, enabling the adjustment of process conditions without physical modifications,...

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Main Authors: Awad E. Mohammed, Wadood T. Mohammed, Saba A. Gheni
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Case Studies in Chemical and Environmental Engineering
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666016424004183
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author Awad E. Mohammed
Wadood T. Mohammed
Saba A. Gheni
author_facet Awad E. Mohammed
Wadood T. Mohammed
Saba A. Gheni
author_sort Awad E. Mohammed
collection DOAJ
description Modeling and simulation at the bench scale are crucial for understanding industrial process behavior, particularly in oxidative desulfurization (ODS). Mathematical models are powerful tools in chemical process engineering, enabling the adjustment of process conditions without physical modifications, thereby optimizing process performance. In this study, a comprehensive mathematical model for the ODS of sour diesel fuel, supplied by the NRC refinery, was developed using O₂ as the oxidant and Fe/AC as the catalyst, based on experimental data from the literature. This model addresses key limitations of existing ODS models, including their limited applicability in industrial settings and challenges in scaling up while maintaining high sulfur conversion efficiency. By simulating an industrial batch reactor, the model advances current knowledge by providing a robust framework for scaling ODS processes. Optimal reaction conditions were determined to achieve ≥99 % sulfur conversion, with kinetic parameters of a reaction order of 1.2, an activation energy of 50 kJ/mol, and a pre-exponential factor of 9050 g(−0.2).h(−1). Scale-up results, based on these parameters, suggested optimal reactor dimensions of 1.3 m in diameter and 2 m in length. The batch reactor scale-up was conducted using the gPROMS software, yielding insights that can be applied directly to industrial reactors. Ultimately, this model contributes to the field by offering a scalable, practical approach to ODS reactor design and optimization, aiding the production of cleaner diesel fuels in compliance with stringent environmental standards.
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spelling doaj-art-37e65c2f317c4aab9ec95f3efcb1bf832024-12-11T05:57:34ZengElsevierCase Studies in Chemical and Environmental Engineering2666-01642025-06-0111101024Scale-up of oxidative desulfurization for sour diesel fuel: Modeling, simulation, and reactor design using Fe/AC catalystAwad E. Mohammed0Wadood T. Mohammed1Saba A. Gheni2AL-Hawija Technical College, Northern Technical University, Mosel, IraqChemical Engineering Department, College of Engineering, Baghdad University, Baghdad, IraqChemical Engineering Department, College of Engineering, Tikrit University, Iraq; Corresponding author.Modeling and simulation at the bench scale are crucial for understanding industrial process behavior, particularly in oxidative desulfurization (ODS). Mathematical models are powerful tools in chemical process engineering, enabling the adjustment of process conditions without physical modifications, thereby optimizing process performance. In this study, a comprehensive mathematical model for the ODS of sour diesel fuel, supplied by the NRC refinery, was developed using O₂ as the oxidant and Fe/AC as the catalyst, based on experimental data from the literature. This model addresses key limitations of existing ODS models, including their limited applicability in industrial settings and challenges in scaling up while maintaining high sulfur conversion efficiency. By simulating an industrial batch reactor, the model advances current knowledge by providing a robust framework for scaling ODS processes. Optimal reaction conditions were determined to achieve ≥99 % sulfur conversion, with kinetic parameters of a reaction order of 1.2, an activation energy of 50 kJ/mol, and a pre-exponential factor of 9050 g(−0.2).h(−1). Scale-up results, based on these parameters, suggested optimal reactor dimensions of 1.3 m in diameter and 2 m in length. The batch reactor scale-up was conducted using the gPROMS software, yielding insights that can be applied directly to industrial reactors. Ultimately, this model contributes to the field by offering a scalable, practical approach to ODS reactor design and optimization, aiding the production of cleaner diesel fuels in compliance with stringent environmental standards.http://www.sciencedirect.com/science/article/pii/S2666016424004183Diesel fuelBatch reactorScale upOptimizationgPROMS
spellingShingle Awad E. Mohammed
Wadood T. Mohammed
Saba A. Gheni
Scale-up of oxidative desulfurization for sour diesel fuel: Modeling, simulation, and reactor design using Fe/AC catalyst
Case Studies in Chemical and Environmental Engineering
Diesel fuel
Batch reactor
Scale up
Optimization
gPROMS
title Scale-up of oxidative desulfurization for sour diesel fuel: Modeling, simulation, and reactor design using Fe/AC catalyst
title_full Scale-up of oxidative desulfurization for sour diesel fuel: Modeling, simulation, and reactor design using Fe/AC catalyst
title_fullStr Scale-up of oxidative desulfurization for sour diesel fuel: Modeling, simulation, and reactor design using Fe/AC catalyst
title_full_unstemmed Scale-up of oxidative desulfurization for sour diesel fuel: Modeling, simulation, and reactor design using Fe/AC catalyst
title_short Scale-up of oxidative desulfurization for sour diesel fuel: Modeling, simulation, and reactor design using Fe/AC catalyst
title_sort scale up of oxidative desulfurization for sour diesel fuel modeling simulation and reactor design using fe ac catalyst
topic Diesel fuel
Batch reactor
Scale up
Optimization
gPROMS
url http://www.sciencedirect.com/science/article/pii/S2666016424004183
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AT wadoodtmohammed scaleupofoxidativedesulfurizationforsourdieselfuelmodelingsimulationandreactordesignusingfeaccatalyst
AT sabaagheni scaleupofoxidativedesulfurizationforsourdieselfuelmodelingsimulationandreactordesignusingfeaccatalyst