A 3-D multiphase model of proton exchange membrane electrolyzer based on open-source CFD

被引:60
作者
Xu, Yifan [1 ]
Zhang, Guobin [1 ]
Wu, Lizhen [1 ]
Bao, Zhiming [1 ]
Zu, Bingfeng [2 ]
Jiao, Kui [1 ]
机构
[1] Tianjin Univ, State Key Lab Engines, 135 Yaguan Rd, Tianjin 300350, Peoples R China
[2] Tianjin Univ, Internal Combust Engine Res Inst, 92 Weijin Rd, Tianjin, Peoples R China
来源
DIGITAL CHEMICAL ENGINEERING | 2021年 / 1卷
基金
中国国家自然科学基金;
关键词
Proton exchange membrane electrolyzer; 3-D model; Two-phase flow; Volume of fluid model; Double-layer flow fields;
D O I
10.1016/j.dche.2021.100004
中图分类号
TQ [化学工业];
学科分类号
081705 [工业催化];
摘要
In this study, a 3-D multiphase model of the proton exchange membrane (PEM) electrolyzer is developed on an open-source computational fluid dynamics (CFD) platform, OpenFOAM. A pseudo-coupling method is pre-sented to consider the detailed two-phase distribution conditions at the interface between the flow channel and liquid/gas diffusion layer (L/GDL) in anode flow channel of a 3-D PEM electrolyzer model. The detailed two-phase distribution conditions can be obtained by high-speed optical images or volume of fluid (VOF) simulation results. Through this method, it is possible to predict the effect of two-phase flow existing in the anode flow channel on the transport phenomena in the porous electrode, and thus cell performance. The 3-D model is val-idated with experimental test results at three current density conditions (0-1, 0-2, 0-3 A cm - 2) considering the existence of two-phase flow. It is found that if the two-phase flow in the anode flow channel is neglected, the simulation polarization curves will deviate from the experimental test results, especially at high current density conditions. In contrast, the simulated polarization curves manage to fit the experimental data accurately with the pseudo-coupling method, indicating that it is necessary to consider the effect of two-phase flow. In addition, this pseudo-coupling model can not only take the multi-phase mass transport into consideration but also the distribution of temperature and current density inside a PEM electrolyzer. With the help of this model, a novel double-layer flow field is proposed to enhance the performance of electrolyzer. It is found that the cell perfor-mance of the proposed flow field is 0.171 V better that of the traditional parallel flow field at 3 A cm- 2. Also, the temperature distribution and current density distribution of the new flow field are more uniform, which could benefit the durability and performance of PEM electrolyzer.
引用
收藏
页数:15
相关论文
共 4 条
[1]
A two-step multivariate statistical learning approach for batch process soft sensing [J].
Hicks, Aaron ;
Johnston, Matthew ;
Mowbray, Max ;
Barton, Maxwell ;
Lane, Amanda ;
Mendoza, Cesar ;
Martin, Philip ;
Zhang, Dongda .
DIGITAL CHEMICAL ENGINEERING, 2021, 1
[2]
Physics-Informed deep learning to predict flow fields in cyclone separators [J].
Queiroz, L. H. ;
Santos, F. P. ;
Oliveira, J. P. ;
Souza, M. B. .
DIGITAL CHEMICAL ENGINEERING, 2021, 1
[3]
A three-level hierachical framework for additive manufacturing [J].
Ren, Yi Ming ;
Ding, Yangyao ;
Zhang, Yichi ;
Christofides, Panagiotis D. .
DIGITAL CHEMICAL ENGINEERING, 2021, 1
[4]
A 3-D multiphase model of proton exchange membrane electrolyzer based on open-source CFD [J].
Xu, Yifan ;
Zhang, Guobin ;
Wu, Lizhen ;
Bao, Zhiming ;
Zu, Bingfeng ;
Jiao, Kui .
DIGITAL CHEMICAL ENGINEERING, 2021, 1