Computational fluid dynamics simulation of forward osmosis (FO) membrane systems: Methodology, state of art, challenges and opportunities

被引:20
|
作者
Liang, Y. Y. [1 ,2 ]
Fletcher, D. F. [3 ]
机构
[1] Univ Malaysia Pahang, Fac Chem & Proc Engn Technol, Lebuhraya Tun Razak, Kuantan 26300, Pahang, Malaysia
[2] Univ Malaysia Pahang, Ctr Excellence Adv Res Fluid Flow CARIFF, Lebuhraya Tun Razak, Kuantan 26300, Pahang, Malaysia
[3] Univ Sydney, Sch Chem & Biomol Engn, Darlington, NSW 2006, Australia
关键词
Computational fluid dynamics (CFD); Forward osmosis; Concentration polarisation; Methodology; Verification and validation; INTERNAL CONCENTRATION POLARIZATION; REVERSE-OSMOSIS; MASS-TRANSFER; WORKING TEMPERATURE; CFD SIMULATION; SPACER; FLOW; FILTRATION; IMPACT; MODEL;
D O I
10.1016/j.desal.2022.116359
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Forward osmosis (FO) has attracted wide research attention owing to its potential application in seawater desalination. In the past decade, the research advancements in FO experimental studies have been accompanied by an increase in computational fluid dynamics (CFD) studies. With advanced CFD techniques, the complex flow patterns related to FO design and different operating conditions are now being studied and some solutions to existing problems are being suggested. Therefore, it is timely to review the CFD methodology, the detailed as-sumptions made and the mathematical models used for the FO processes. In addition, the problem of verification and validation is discussed in detail, together with the present state of art based on work over the last decade. Many FO CFD works have focused on varying membrane properties and operating conditions, while some have attempted to shed insight into the mechanisms that lead to flux enhancement. Finally, challenges and research opportunities related to FO CFD studies are provided.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Computational fluid dynamics simulations of flow and concentration polarization in forward osmosis membrane systems
    Gruber, M. F.
    Johnson, C. J.
    Tang, C. Y.
    Jensen, M. H.
    Yde, L.
    Helix-Nielsen, C.
    JOURNAL OF MEMBRANE SCIENCE, 2011, 379 (1-2) : 488 - 495
  • [2] Synthesis of polybenzimidazole (PBI) forward osmosis (FO) membrane and computational fluid dynamics (CFD) modeling of concentration gradient across membrane surface
    Akther, Nawshad
    Daer, Sahar
    Wei, Qiang
    Janajreh, Isam
    Hasan, Shadi W.
    DESALINATION, 2019, 452 : 17 - 28
  • [3] THE EFFECT OF MIXING PROMOTERS ON THE PERFORMANCE OF FORWARD OSMOSIS MEMBRANE SYSTEMS: COMPUTATIONAL FLUID DYNAMICS SIMULATIONS
    Alshwairekh, Ahmed M.
    Alghafis, Abdullah A.
    Alwatban, Anas M.
    Alqsair, Umar F.
    Oztekin, Alparslan
    PROCEEDINGS OF THE ASME/JSME/KSME JOINT FLUIDS ENGINEERING CONFERENCE, 2019, VOL 2, 2019,
  • [4] Computational fluid dynamics applied to membranes: State of the art and opportunities
    Ghidossi, R
    Veyret, D
    Moulin, P
    CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2006, 45 (06) : 437 - 454
  • [5] The Effect of Porous Support Layer in Forward Osmosis Membranes A Computational Fluid Dynamics Simulation
    Alshwairekh, Ahmed M.
    Alghafis, Abdullah A.
    Usta, Mustafa
    Alwatban, Anas M.
    Krysko, Robert
    Oztekin, Alparslan
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2018, VOL 7, 2019,
  • [6] A computational fluid dynamics model to predict performance of hollow fiber membrane modules in forward osmosis
    Ren J.
    Chowdhury M.R.
    Xia L.
    Ma C.
    Bollas G.M.
    McCutcheon J.R.
    Journal of Membrane Science, 2021, 603
  • [7] A computational fluid dynamics model to predict performance of hollow fiber membrane modules in forward osmosis
    Ren, Jian
    Chowdhury, Maqsud R.
    Xia, Lingling
    Ma, Cong
    Bollas, George M.
    McCutcheon, Jeffrey R.
    JOURNAL OF MEMBRANE SCIENCE, 2020, 603
  • [8] State-of-the-Art and Opportunities for Forward Osmosis in Sewage Concentration and Wastewater Treatment
    Wu, Xing
    Lau, Cher Hon
    Pramanik, Biplob Kumar
    Zhang, Jianhua
    Xie, Zongli
    MEMBRANES, 2021, 11 (05) : 1 - 24
  • [9] Computational Fluid Dynamics in Turbomachinery: A Review of State of the Art
    Pinto, Runa Nivea
    Afzal, Asif
    D'Souza, Loyan Vinson
    Ansari, Zahid
    Samee, A. D. Mohammed
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2017, 24 (03) : 467 - 479
  • [10] Computational Fluid Dynamics in Turbomachinery: A Review of State of the Art
    Runa Nivea Pinto
    Asif Afzal
    Loyan Vinson D’Souza
    Zahid Ansari
    A. D. Mohammed Samee
    Archives of Computational Methods in Engineering, 2017, 24 : 467 - 479