4.7 Article

Simulation of binary gas separation in nanometric tubular ceramic membranes by a new combinational approach

期刊

JOURNAL OF MEMBRANE SCIENCE
卷 282, 期 1-2, 页码 178-188

出版社

ELSEVIER
DOI: 10.1016/j.memsci.2006.05.021

关键词

nanometric membrane; binary mixture; gas separation; asymptotic methods; approximate methods; combinational approach

向作者/读者索取更多资源

Analytical gas-permeation models for predicting the separation process across the membranes constitutes an important and necessary step in understanding the overall performance of the membrane modules. Therefore, solution of the nonlinear ordinary differential equations that govern the performance of the membrane modules for gas separations is necessary. Approximate and asymptotic methods are useful, simple and rapid methods in the design and comparison of gas separation processes, but these methods have certain application limits. In this work, a new combinational approach (combination of asymptotic and approximate methods: CAAM) was applied for predicting the performance of the nanometric tubular ceramic membranes in the separation of binary gas mixtures with cocurrent and countercurrent flow patterns. Also, the exact (numerical) solutions of the governing equations using the fourth-order Runge-Kutta technique were proposed. The comparison of the results showed a good agreement between the exact solution and the CAAM method over the whole range of selectivities (1 <= alpha <= infinity). The accuracy of this method was verified by comparison the predicted results with different literature experimental data and mathematical models. Also, more detailed parametric studies were done and a generalized method was proposed for determining the application limits of the simplified methods in our combinational approach. It can be concluded from this work that the CAAM method can provide excellent short-cut, preliminary design information. (c) 2006 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据