Open-source industrial-scale module simulation: Paving the way towards the right configuration choice for membrane distillation

被引:14
|
作者
Dong, Guangxi [1 ]
Cha-Umpong, Withita [1 ]
Hou, Jingwei [1 ]
Ji, Chao [1 ]
Chen, Vicki [1 ]
机构
[1] Univ New South Wales, UNESCO Ctr Membrane Sci & Technol, Sydney, NSW 2052, Australia
关键词
Direct contact membrane distillation; Submerged vacuum membrane distillation; Cross-flow vacuum membrane distillation; Module scale-up simulation; Seawater desalination; HOLLOW-FIBER MEMBRANES; DIRECT-CONTACT; MASS-TRANSFER; AIR-GAP; TRANSPORT RESISTANCES; HEAT-TRANSFER; VACUUM; DESALINATION; WATER; ENERGY;
D O I
10.1016/j.desal.2019.04.018
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Understanding the impact of configuration selection of industrial-scale membrane distillation (MD) is critical for a productive and energy-efficient operation of this emerging process for desalination. However, it is rarely considered even as new high flux membranes and wider applications are developed. In this context, three open source simulators were developed on the Matlab GUI platform for the performance prediction of industrial-size direct contact membrane distillation (DCMD), submerged vacuum membrane distillation (S-VMD), and cross flow vacuum membrane distillation (X-VMD). Using laboratory-scale experimental results as simulation inputs, the developed simulators were able to predict large-scale MD performance. Furthermore, design considerations on appropriate module scale-up for all three configurations were demonstrated. More importantly, the configuration that shows the optimal mass and heat transfer behaviour was revealed through the performance comparisons across different full-size MD configurations. In addition, these simulators are open-source allowing researchers to use these tools for the development of specific scale-up strategies of their own MD membranes - a critical step towards commercialisation.
引用
收藏
页码:48 / 62
页数:15
相关论文
共 2 条
  • [1] KSC2: An Industrial-Scale Open-Source Kazakh Speech Corpus
    Mussakhojayeva, Saida
    Khassanov, Yerbolat
    Varol, Huseyin Atakan
    [J]. INTERSPEECH 2022, 2022, : 1367 - 1371
  • [2] Open-source predictive simulators for scale-up of direct contact membrane distillation modules for seawater desalination
    Dong, Guangxi
    Kim, Jeong F.
    Kim, Ji Hoon
    Drioli, Enrico
    Lee, Young Moo
    [J]. DESALINATION, 2017, 402 : 72 - 87