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<p>Production of environmentally friendly fuel and reduction of SOx emissions are essential goals in academic and industrial fields due to the new strict environmental legalization on air pollution. Novel oscillatory baffled reactor (OBR) is fabricated and operated for deep desulfurization of diesel fuel. OBR is manufactured by modifying the traditional central baffles into central baskets that fixed the catalytic material as packed bed for continuous desulfurization. New polyactive oxides (MnO<sub>2</sub> and Fe<sub>2</sub>O<sub>3</sub>) over activated carbon are synthesized for catalytic oxidation of dibenzothiophene (DBT). Besides, alumina coating layer is created to protect the new catalyst for high stable oxidation reactions. Desulfurization process is evaluated under mild process conditions using hydrogen peroxide as oxidant substance. The best desulfurization efficacy is 98.11% and 95.98% using uncoated and coated catalysts under optimal parameters (T = 90&#xa0;<sup>ο</sup>C, LHSV = 0.08&#xa0;min<sup>−1</sup>, frequency = 2&#xa0;Hz, and amplitude = 12&#xa0;mm). During three consecutive oxidation cycles, uncoated catalyst showed more stability with slight decreasing in process efficiency. Moreover, artificial neural network (ANN) is employed for the first time to predict modern artificial intelligence (Al) modeling for continuous DBT oxidation in OBR. ANN data are performed that the created model has attractive ability of excellent predictions at MSE of 0.0086 and R<sup>2</sup> of 0.9958. ANN model observed extreme fitting and accuracy minimal deviation; thereby, it is a successfully simulated desulfurization process with high precise predictions.</p>

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Experiments and Artificial Neural Network Modeling of Dibenzothiophene Oxidation in Oscillatory Baffled Reactor using Poly active Oxides over Activated Carbon Catalyst: Deep Desulfurization of Diesel Fuel

  • 期刊论文

  • 发表日期：

    2026年2月18日

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  • Jasim I. Humadi,
  • Wadood T. Mohammed

摘要

Production of environmentally friendly fuel and reduction of SOx emissions are essential goals in academic and industrial fields due to the new strict environmental legalization on air pollution. Novel oscillatory baffled reactor (OBR) is fabricated and operated for deep desulfurization of diesel fuel. OBR is manufactured by modifying the traditional central baffles into central baskets that fixed the catalytic material as packed bed for continuous desulfurization. New polyactive oxides (MnO2 and Fe2O3) over activated carbon are synthesized for catalytic oxidation of dibenzothiophene (DBT). Besides, alumina coating layer is created to protect the new catalyst for high stable oxidation reactions. Desulfurization process is evaluated under mild process conditions using hydrogen peroxide as oxidant substance. The best desulfurization efficacy is 98.11% and 95.98% using uncoated and coated catalysts under optimal parameters (T = 90 οC, LHSV = 0.08 min−1, frequency = 2 Hz, and amplitude = 12 mm). During three consecutive oxidation cycles, uncoated catalyst showed more stability with slight decreasing in process efficiency. Moreover, artificial neural network (ANN) is employed for the first time to predict modern artificial intelligence (Al) modeling for continuous DBT oxidation in OBR. ANN data are performed that the created model has attractive ability of excellent predictions at MSE of 0.0086 and R2 of 0.9958. ANN model observed extreme fitting and accuracy minimal deviation; thereby, it is a successfully simulated desulfurization process with high precise predictions.