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个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 精细化工全国重点实验室主任,教育部智能材料化工前沿科学中心执行主任,大连理工大学膜科学与技术研究开发中心主任
性别:女
毕业院校:中国科学院大连化物所
学位:博士
所在单位:化工学院
学科:化学工程. 膜科学与技术. 生物医学工程
联系方式:hgaohong@dlut.edu.cn
电子邮箱:hgaohong@dlut.edu.cn
Integration of molecular dynamic simulation and free volume theory for modeling membrane VOC/gas separation
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论文类型:期刊论文
发表时间:2018-06-01
发表刊物:FRONTIERS OF CHEMICAL SCIENCE AND ENGINEERING
收录刊物:SCIE
卷号:12
期号:2
页面范围:296-305
ISSN号:2095-0179
关键字:membrane vapor separation; membrane process modeling; process engineering; free volume theory; volatile organic compound
摘要:Gas membrane separation process is highly unpredictable due to interacting non-ideal factors, such as composition/pressure-dependent permeabilities and real gas behavior. Although molecular dynamic (MD) simulation can mimic those complex effects, it cannot precisely predict bulk properties due to scale limitations of calculation algorithm. This work proposes a method for modeling a membrane separation process for volatile organic compounds by combining the MD simulation with the free volume theory. This method can avoid the scale-up problems of the MD method and accurately simulate the performance of membranes. Small scale MD simulation and pure gas permeation data are employed to correlate pressure-irrelevant parameters for the free volume theory; by this approach, the microscopic effects can be directly linked to bulk properties (non-ideal permeability), instead of being fitted by a statistical approach. A lab-scale hollow fiber membrane module was prepared for the model validation and evaluation. The comparison of model predictions with experimental results shows that the deviations of product purity are reduced from 10% to less than 1%, and the deviations of the permeate and residue flow rates are significantly reduced from 40% to 4%, indicating the reliability of the model. The proposed method provides an efficient tool for process engineering to simulate the membrane recovery process.