Advanced 3D multiscale modeling of forward osmosis-membrane distillation integrated designs

被引:10
作者
Soukane, Sofiane [1 ,4 ]
Nawaz, Muhammad Saqib [1 ]
Obaid, M. [1 ]
Gudideni, Veerabhadraiah [2 ]
Al-Qahtani, Ali [2 ]
Ghaffour, Noreddine [1 ,3 ]
机构
[1] King Abdullah Univ Sci & Technol KAUST, Water Desalinat & Reuse Ctr WDRC, Thuwal 239556900, Saudi Arabia
[2] Saudi Aramco, Proc & Control Syst Dept, Energy Syst Div, Dhahran, Saudi Arabia
[3] King Abdullah Univ Sci & Technol KAUST, Environm Sci & Engn Program, Biol & Environm Sci & Engn BESE Div, Thuwal 239556900, Saudi Arabia
[4] King Abdullah Univ Sci & Technol, Thuwal 23955, Saudi Arabia
关键词
Membrane distillation; Forward osmosis; Hybrid process; Integrated module; CFD; Multiscale modeling; High performance computing; BACKWARD-FACING STEP; SUSTAINABLE WATER RECOVERY; WASTE-WATER; LAMINAR-FLOW; THERMOPHYSICAL PROPERTIES; HYBRID; DESALINATION; SIMULATIONS; PARAMETERS; TRANSPORT;
D O I
10.1016/j.desal.2023.117089
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The development of eco-friendly desalination and water reuse is key to secure water for future generations. The hybridization of emerging membrane technologies such as forward osmosis (FO) and membrane distillation (MD) stand among alternatives that proved sustainable in treating various feeds. As such, in-series integration of MD and FO enabled the simultaneous treatment of challenging streams, with MD producing fresh water while increasing the draw solution concentration before FO treatment. It is within this context that numerical modeling plays a key role by accelerating hybrids process design and scale-up, shedding light on viable directions and shortening development time. This work presents an advanced 3D multiscale modeling approach that integrates FO and MD heat and mass transfer membrane scale calculations to equipment scale computational fluid dy-namics, executed on high performance computers. A methodology based on laboratory scale FO-MD integrated module experiments and runtime optimization is proposed for model calibration and process scale-up. The parallelization of the numerical model is shown to be key to efficient integrated modules development, enabling full 3D analysis on fine meshes and the solution of intricately coupled physical phenomena, which leads to a straightforward process scale-up evaluation.
引用
收藏
页数:13
相关论文
共 47 条
[41]  
2-R
[42]   Toward Resource Recovery from Wastewater: Extraction of Phosphorus from Digested Sludge Using a Hybrid Forward Osmosis-Membrane Distillation Process [J].
Xie, Ming ;
Nghiem, Long D. ;
Price, William E. ;
Elimelech, Menachem .
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, 2014, 1 (02) :191-195
[43]   A Forward Osmosis-Membrane Distillation Hybrid Process for Direct Sewer Mining: System Performance and Limitations [J].
Xie, Ming ;
Nghiem, Long D. ;
Price, William E. ;
Elimelech, Menachem .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2013, 47 (23) :13486-13493
[44]   Water-energy-food nexus: Concepts, questions and methodologies [J].
Zhang, Chi ;
Chen, Xiaoxian ;
Li, Yu ;
Ding, Wei ;
Fu, Guangtao .
JOURNAL OF CLEANER PRODUCTION, 2018, 195 :625-639
[45]   Sustainable water recovery from oily wastewater via forward osmosis-membrane distillation (FO-MD) [J].
Zhang, Sui ;
Wang, Peng ;
Fu, Xiuzhu ;
Chung, Tai-Shung .
WATER RESEARCH, 2014, 52 :112-121
[46]   Review of thermal efficiency and heat recycling in membrane distillation processes [J].
Zhang, Yonggang ;
Peng, Yuelian ;
Ji, Shulan ;
Li, Zhehao ;
Chen, Ping .
DESALINATION, 2015, 367 :223-239
[47]   Tackle reverse solute flux in forward osmosis towards sustainable water recovery: reduction and perspectives [J].
Zou, Shiqiang ;
Qin, Mohan ;
He, Zhen .
WATER RESEARCH, 2019, 149 :362-374