Suppr超能文献

在珠状活性炭固定床中对挥发性有机化合物混合物的竞争吸附进行建模。

Modeling competitive adsorption of mixtures of volatile organic compounds in a fixed-bed of beaded activated carbon.

机构信息

University of Alberta , Department of Civil and Environmental Engineering, Edmonton, AB T6G 2W2, Canada.

出版信息

Environ Sci Technol. 2014 May 6;48(9):5108-17. doi: 10.1021/es404667f. Epub 2014 Apr 8.

Abstract

A two-dimensional mathematical model was developed to study competitive adsorption of n-component mixtures in a fixed-bed adsorber. The model consists of an isotherm equation to predict adsorption equilibria of n-component volatile organic compounds (VOCs) mixture from single component isotherm data, and a dynamic adsorption model, the macroscopic mass, energy and momentum conservation equations, to simulate the competitive adsorption of the n-components onto a fixed-bed of adsorbent. The model was validated with experimentally measured data of competitive adsorption of binary and eight-component VOCs mixtures onto beaded activated carbon (BAC). The mean relative absolute error (MRAE) was used to compare the modeled and measured breakthrough profiles as well as the amounts of adsorbates adsorbed. For the binary and eight-component mixtures, the MRAE of the breakthrough profiles was 13 and 12%, respectively, whereas, the MRAE of the adsorbed amounts was 1 and 2%, respectively. These data show that the model provides accurate prediction of competitive adsorption of multicomponent VOCs mixtures and the competitive adsorption isotherm equation is able to accurately predict equilibrium adsorption of VOCs mixtures.

摘要

建立了二维数学模型来研究固定床吸附器中 n 组分混合物的竞争吸附。该模型由一个等温方程组成,该等温方程可根据单组分等温线数据预测 n 种挥发性有机化合物 (VOC) 混合物的吸附平衡,以及一个动态吸附模型,即宏观质量、能量和动量守恒方程,用于模拟 n 种组分在吸附剂固定床上的竞争吸附。该模型通过实验测量的二元和八元 VOC 混合物在珠状活性炭 (BAC) 上的竞争吸附数据进行了验证。平均相对绝对误差 (MRAE) 用于比较模型预测和测量的穿透曲线以及吸附剂吸附的吸附质的量。对于二元和八元混合物,穿透曲线的 MRAE 分别为 13%和 12%,而吸附质的量的 MRAE 分别为 1%和 2%。这些数据表明,该模型能够准确预测多组分 VOC 混合物的竞争吸附,并且竞争吸附等温方程能够准确预测 VOC 混合物的平衡吸附。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验