Removal efficiency and reaction kinetics of phenolic compounds in refinery wastewater by nano catalytic wet oxidation

Yousif S. Issa, K. Hamad, R. J. Algawi, Jasim I. Humadi, Sara Al-Salihi, Mustafa A. Ahmed, Ahmed A. Hassan, Abdul-Kareem Abd Jasim
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引用次数: 1

Abstract

A novel nano-catalyst based on iron oxide (MnO2/Fe2O3) was developed to promote wet oxidation of phenol. MnO2 was doped in Fe2O3 matrix to prepare composite nano-catalyst with different doping percentage (0, 2 and 5%). The catalytic phenol oxidation was conducted under different reaction temperatures and residence times. To evaluate the optimal kinetic parameters aiming to maximize phenol removal under the optimal conditions for the catalytic wet phenol oxidation process, modeling was applied on the batch reactor using the novel synthesis nano-catalyst (MnO2/Fe2O3) and the model developed was fed with the experimental data. gPROMS package was used to model the process of phenol oxidation and to optimize the experimental data. The error predicted between the simulated and experimental data was less than 5%. The optimal operating conditions were 294 min residence time, 70oC reaction temperature, and 764 ppm initial concentration of phenol over the prepared 5% MnO2/Fe2O3. Running of wet oxidation of phenol under the optimal operating conditions resulted in 98% removal of phenol from refinery wastewater.
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纳米催化湿式氧化法去除炼油废水中酚类化合物的效果及反应动力学
研制了一种新型纳米氧化铁催化剂(MnO2/Fe2O3)促进苯酚湿式氧化。在Fe2O3基体中掺杂MnO2,制备不同掺杂比例(0、2、5%)的复合纳米催化剂。在不同的反应温度和停留时间下对苯酚进行了催化氧化。为评价湿式苯酚催化氧化工艺在最佳条件下最大限度去除苯酚的最佳动力学参数,对采用新型合成纳米催化剂(MnO2/Fe2O3)的间歇反应器进行了建模,并将模型与实验数据进行了比较。采用gPROMS软件对苯酚氧化过程进行了模拟,并对实验数据进行了优化。模拟结果与实验结果的误差小于5%。最佳操作条件为:反应时间294 min,反应温度70℃,苯酚初始浓度764 ppm,制备的MnO2/Fe2O3为5%。在最佳操作条件下对苯酚进行湿式氧化处理,苯酚去除率达98%。
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CiteScore
4.50
自引率
16.00%
发文量
83
审稿时长
8 weeks
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