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固定床柱中气相苯和甲苯在活性炭织物上的吸附研究

Adsorption studies of benzene and toluene in gas phase onto activated carbon fabrics in fixed bed column.

作者信息

Salehi Razieh, Dadashian Fatemeh, Abedi Mohammad, Eliassi Ali

机构信息

Department of Textile Engineering, Amirkabir University of Technology, Tehran, Iran.

Department of Textile Engineering, Amirkabir University of Technology, Environmental Research Center of Amirkabir University of Technology, Tehran, Iran.

出版信息

Heliyon. 2025 Jan 17;11(2):e42071. doi: 10.1016/j.heliyon.2025.e42071. eCollection 2025 Jan 30.

Abstract

The application of Activated Carbon Fabrics for adsorption of gas contaminants, including Benzene and Toluene, was performed in a fixed bed column at room temperature. The effect of process parameters such as initial inlet concentration, flow rate, and adsorbent mass on the efficiency of the column was evaluated. Results indicated that increasing adsorbent mass and decreasing initial toluene concentration increase adsorption capacity and breakthrough time. Doubling the adsorbent mass led to an increase in breakthrough time from 48 min to 132 min and from 147 min to 340 min. Reducing the flow rate causes the adsorption capacity and the breakthrough time to increase. The adsorption capacity of toluene is always higher than that of benzene, which can be explained by the higher relative pressure of toluene compared to benzene, which has increased the adsorption capacity. Experimental data were analyzed using the Adams-Bohart, Thomas, and Yoon-Nelson models. The Thomas and Yoon-Nelson models, with correlation coefficients above 0.9, effectively predicted gas adsorption performance in a fixed bed column. However, the Yoon-Nelson model cannot correctly predict the data's behavior in the early moments. It can be seen, in general, that the Thomas model is well able to describe the behavior of the data.

摘要

在室温下,在固定床柱中进行了活性炭织物对包括苯和甲苯在内的气体污染物的吸附应用。评估了初始入口浓度、流速和吸附剂质量等工艺参数对柱效率的影响。结果表明,增加吸附剂质量和降低初始甲苯浓度可提高吸附容量和穿透时间。将吸附剂质量加倍导致穿透时间从48分钟增加到132分钟,从147分钟增加到340分钟。降低流速会使吸附容量和穿透时间增加。甲苯的吸附容量总是高于苯,这可以用甲苯相对于苯更高的相对压力来解释,这增加了吸附容量。使用亚当斯-博哈特、托马斯和尹-尼尔森模型对实验数据进行了分析。相关系数高于0.9的托马斯和尹-尼尔森模型有效地预测了固定床柱中的气体吸附性能。然而,尹-尼尔森模型不能正确预测数据在早期阶段的行为。总体而言,可以看出托马斯模型能够很好地描述数据的行为。

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