Computational fluid dynamics simulations of membrane gas separation: Overview, challenges and future perspectives

被引:19
|
作者
Foo, K. [1 ]
Liang, Y. Y. [1 ,2 ]
Goh, P. S. [3 ]
Fletcher, D. F. [4 ]
机构
[1] Univ Malaysia Pahang, Fac Chem & Proc Engn Technol, Kuantan 26300, Pahang, Malaysia
[2] Univ Malaysia Pahang, Ctr Res Adv Fluid & Proc, Kuantan 26300, Pahang, Malaysia
[3] Univ Teknol Malaysia, Fac Chem & Energy Engn, Adv Membrane Technol Res Ctr AMTEC, Skudai 81310, Johor, Malaysia
[4] Univ Sydney, Sch Chem & Biomol Engn, Sydney, NSW 2006, Australia
来源
关键词
Computational fluid dynamics; Membrane gas separation; Dense and porous membranes; Gas permeation mechanism; Concentration polarization; HOLLOW-FIBER MEMBRANE; SYNGAS OXY-COMBUSTION; OF-THE-ART; HYDROGEN SEPARATION; CONCENTRATION POLARIZATION; ION-TRANSPORT; MASS-TRANSFER; PALLADIUM MEMBRANES; COMPOSITE MEMBRANES; REACTOR PERFORMANCE;
D O I
10.1016/j.cherd.2023.01.024
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Membrane-based gas separation (GS) has emerged as a competitive separation technology for industrial gas separation applications due to its simpler operation and cost-effective approach. This paper reviews the computational parameters and boundary conditions involved in model simulations, including the general assumptions made for the gas separation process. The transport mechanisms used for dense and porous gas separation membranes are discussed, followed by verification studies of CFD models. The impacts of different operation parameters, such as the temperature, pressure ratio, variation in hydrodynamics, and membrane se-lectivity, on membrane performance are evaluated in terms of gas permeation flux and con-centration polarisation (CP). This review also describes the effect of obstacles (feed spacers) and various unsteady flow approaches for improving performance. Finally, challenges and future perspectives in CFD simulation involving membrane gas separation are provided. (c) 2023 Institution of Chemical Engineers. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:127 / 140
页数:14
相关论文
共 50 条
  • [41] Toward establishing credibility in computational fluid dynamics simulations
    Rizzi, A
    Vos, J
    AIAA JOURNAL, 1998, 36 (05) : 668 - 675
  • [42] Simulations of a LDPE reactor using computational fluid dynamics
    Read, NK
    Zhang, SX
    Ray, WH
    AICHE JOURNAL, 1997, 43 (01) : 104 - 117
  • [43] Computational Fluid Dynamics Simulations of Hemodynamics in Plaque Erosion
    Campbell I.C.
    Timmins L.H.
    Giddens D.P.
    Virmani R.
    Veneziani A.
    Rab S.T.
    Samady H.
    McDaniel M.C.
    Finn A.V.
    Taylor W.R.
    Oshinski J.N.
    Campbell, I. C. (iancampbell@gatech.edu), 1600, Springer Science and Business Media, LLC (04): : 464 - 473
  • [44] Computational Fluid Dynamics (CFD) simulations for thermal separation processes. Description of the hydrodynamics at column plates
    Klanatsky, P.
    Heschl, C.
    Gronald, Günter
    Weiß, C.
    CIT Plus, 2010, 13 (12) : 26 - 28
  • [45] Future directions of membrane gas separation technology
    Baker, RW
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2002, 41 (06) : 1393 - 1411
  • [46] Computational simulation of molecular separation in liquid phase using membrane systems: Combination of computational fluid dynamics and machine learning
    Zhou, Tao
    Tian, Yong
    Liao, Huan
    Zhuo, Zhi
    CASE STUDIES IN THERMAL ENGINEERING, 2023, 44
  • [47] Optimization in castings - An overview of relevant computational technologies and future challenges
    Ransing, R. S.
    Sood, M. P.
    METALLURGICAL AND MATERIALS TRANSACTIONS B-PROCESS METALLURGY AND MATERIALS PROCESSING SCIENCE, 2006, 37 (06): : 905 - 911
  • [48] Optimization in castings—An overview of relevant computational technologies and future challenges
    R. S. Ransing
    M. P. Sood
    Metallurgical and Materials Transactions B, 2006, 37 : 905 - 911
  • [49] Molecular dynamics pre-simulations for nanoscale computational fluid dynamics
    Holland, David M.
    Lockerby, Duncan A.
    Borg, Matthew K.
    Nicholls, William D.
    Reese, Jason M.
    MICROFLUIDICS AND NANOFLUIDICS, 2015, 18 (03) : 461 - 474
  • [50] Molecular dynamics pre-simulations for nanoscale computational fluid dynamics
    David M. Holland
    Duncan A. Lockerby
    Matthew K. Borg
    William D. Nicholls
    Jason M. Reese
    Microfluidics and Nanofluidics, 2015, 18 : 461 - 474