Computational Fluid Dynamics Analysis of a Hollow Fiber Membrane Module for Binary Gas Mixture

Author:

Qadir Salman12,Ahsan Muhammad1ORCID,Hussain Arshad3

Affiliation:

1. School of Chemical and Materials Engineering (SCME), National University of Sciences and Technology, NUST, Sector H-12, Islamabad 44000, Pakistan

2. National Energy Laboratory Dalian, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China

3. Department of Chemical, Mechanical, Materials, and Mining Engineering, Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology, Haripur 22620, Pakistan

Abstract

The membrane gas separation process has gained significant attention using the computational fluid dynamics (CFD) technique. This study considered the CFD method to find gas concentration profiles in a hollow fiber membrane (HFM) module to separate the binary gas mixture. The membrane was considered with a fiber thickness where each component’s mass fluxes could be obtained based on the local partial pressures, solubility, diffusion, and the membrane’s selectivity. COMSOL Multiphysics was used to solve the numerical solution at corresponding operating conditions and results were compared to experimental data. The two different mixtures, CO2/CH4 and N2/O2, were investigated to obtain concentration gradient and mass flux profiles of CO2 and O2 species in an axial direction. This study allows assessing the feed pressure’s impact on the HFM system’s overall performance. These results demonstrate that the increment in feed pressures decreased the membrane system’s separation performance. The impact of hollow fiber length indicates that increasing the active fiber length has a higher effective mass transfer region but dilutes the permeate-side purities of O2 (46% to 28%) and CO2 (93% to 73%). The results show that increasing inlet pressure and a higher concentration gradient resulted in higher flux through the membrane.

Publisher

MDPI AG

Subject

General Medicine

Reference40 articles.

1. Membrane Gas Separation: A Review/State of the Art;Bernardo;Ind. Eng. Chem. Res.,2009

2. Sanaeepur, H., Amooghin, A.E., and Moghadassi, A. (2020). Modeling in Membranes and Membrane-Based Processes, Scrivener Publishing LLC.

3. CFD modeling of two-stage H2 recovery process from ammonia purge stream by industrial hollow fiber membrane modules;Ardaneh;Int. J. Hydrogen Energy,2019

4. Modeling and simulation absorption of CO2 using hollow fiber membranes (HFM) with mono-ethanol amine with computational fluid dynamics;Mousavian;J. Environ. Chem. Eng.,2020

5. Mathematical modeling of CO2 separation using different diameter hollow fiber membranes;Ghobadi;Int. J. Greenh. Gas Control.,2020

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3