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Design of a new synthetic nanocatalyst resulting high fuel quality based on multiple supports: experimental investigation and modeling

  • Aysar T. Jarullah EMAIL logo , Mustafa A. Ahmed , Ban A. Al-Tabbakh and Iqbal M. Mujtaba
Published/Copyright: April 14, 2022
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Chemical Product and Process Modeling
From the journal Chemical Product and Process Modeling Volume 18 Issue 2

Abstract

In order to meet the environmental legislations related to sulfur content, it is important to find an alternative techniques for deep removal of sulfur components from fuels. So, in this study, a novel nano-catalyst based on iron oxide (Fe2O3) as active component prepared over composite support (γ-Alumina + HY-zeolite) is developed here for efficient removal of sulfur compounds from fuel via oxidation process. The precipitation method is employed first to prepare the composite support and then the impregnation method is utilized to generate a novel synthetic homemade (Fe2O3/composite support) nanocatalysts that has not been developed in the literature (iron oxide over composite support). The characterizations of the prepared catalysts display that the surface area of the catalyst increases with increasing the amount of Y-zeolite in composite support. The effectiveness of the catalysts is tested by utilizing oxidative desulfurization (ODS) operation under several operating conditions. The results of the experimental work show that the activity of oxidative desulfurization enhances with increasing Y-zeolite, temperature, and batch time under moderate operating conditions. The oxidative desulfurization efficiency followed the order: CAT-1 < CAT-2 < CAT-3. The CAT-3 performed the high removal of sulfur compounds (90.73%) at 100 min and 423 K. The best values of the kinetic parameters of the ODS process are then determined based on experimental data and model based techniques within gPROMS package. Finally, the reactor model is used to determine the optimal operating conditions while maximizing the removal of sulfur compounds leading to cleaner fuel. Where, 99.3% of the sulfur removal has achieved at batch time of 190.6 min, temperature of 543.56 K and initial sulfur content at 0.8668 wt% in the presence of CAT-3 based on the optimal kinetic parameters (order of reaction (n) of 1.9865719, activation energy (EA) at 29.942 kJ/mol and pre-exponential factor (k 0) with 622.926 wt−0.9865719 min−1).

Keywords: composite support; gamma alumina; HY-zeolite; iron oxide; nano-catalyst
Corresponding author: Aysar T. Jarullah, Chemical Engineering Department, College of Engineering, Tikrit University, Tikrit, Iraq, Email:

Acknowledgment

The authors thank Petroleum Research and Development Center, Iraqi Ministry of Oil/Baghdad, IRAQ for supporting this work.

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/cppm-2021-0073).

Received: 2021-12-14
Revised: 2022-03-05
Accepted: 2022-03-24
Published Online: 2022-04-14

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

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  2. Research Articles
  3. Experimental and simulation assessment to mitigate the emission of sulfide toxic gases and removing main impurities from Zn + Pb + Cu recovery plants
  4. Dynamic behavior of CO2 adsorption from CH4 mixture in a packed bed of SAPO-34 by CFD-based modeling
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https://doi.org/10.1515/cppm-2021-0073
Keywords for this article
composite support; gamma alumina; HY-zeolite; iron oxide; nano-catalyst

Articles in the same Issue

  1. Frontmatter
  2. Research Articles
  3. Experimental and simulation assessment to mitigate the emission of sulfide toxic gases and removing main impurities from Zn + Pb + Cu recovery plants
  4. Dynamic behavior of CO2 adsorption from CH4 mixture in a packed bed of SAPO-34 by CFD-based modeling
  5. Competitive adsorption of heavy metals in a quaternary solution by sugarcane bagasse – LDPE hybrid biochar: equilibrium isotherm and kinetics modelling
  6. Estimation of 2,4-dichlorophenol photocatalytic removal using different artificial intelligence approaches
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  8. Numerical study on thermal-hydraulic characteristics of flattened microfin tubes
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  10. A mathematical model for the activated sludge process with a sludge disintegration unit
  11. Process design and economic assessment of large-scale production of molybdenum disulfide nanomaterials
  12. Review
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