Model prediction of effects of operating parameters on proton exchange membrane fuel cell performance
Model prediction of effects of operating parameters on proton exchange membrane fuel cell performance
复制标题
运行参数对质子交换膜燃料电池性能影响的模型预测
DOI:
10.1016/j.renene.2009.08.017
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发表时间:
2010-03
期刊:
影响因子:
8.7
通讯作者:
Tang, Biao
中科院分区:
文献类型:
--
作者:
Yuan, Wei;Pan, Minqiang;Li, Zongtao;Tang, Yong;Tang, Biao
The performance of a proton exchange membrane (PEM) fuel cell is greatly affected by the operating parameters. Appropriate operating parameters are necessary for PEM fuel cells to maintain stable performance. A three-dimensional multi-phase fuel cell model (FCM) is developed to predict the effects of operating parameters (e.g. operating pressure, fuel cell temperature, relative humidity of reactant gases, and air stoichiometric ratio) on the performance of PEM fuel cells. The model presented in this paper is a typical nine-layer FCM that consists of current collectors, flow channels, gas diffusion layers, catalysts layers at the anode and the cathode as well as the membrane. A commercial Computational Fluid Dynamics (CFD) software package Fluent is used to solve this predictive model through SIMPLE algorithm and the modeling results are illustrated via polarization curves including I–V and I–P curves. The results indicate that the cell performance can be enhanced by increasing operating pressure and operating temperature. The anode humidification has more significant influences on the cell performance than the cathode humidification, and the best performance occurs at moderate air relative humidity while the hydrogen is fully humidified. In addition, the cell performance proves to be improved with the increase of air stoichiometric ratio. Based on these conclusions, several suggestions for engineering practice are also provided.
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影响因子:
9.2
作者:
Dilip Natarajan;T. Nguyen
通讯作者:
Dilip Natarajan;T. Nguyen
影响因子:
9.2
作者:
Klaus Tüber;M. Zobel;H. Schmidt;C. Hebling
通讯作者:
Klaus Tüber;M. Zobel;H. Schmidt;C. Hebling
影响因子:
3.9
作者:
Jenn-Jiang Hwang
通讯作者:
Jenn-Jiang Hwang
影响因子:
7.2
作者:
D. Ramírez;L. F. Beites;F. Blázquez;J. C. Ballesteros
通讯作者:
D. Ramírez;L. F. Beites;F. Blázquez;J. C. Ballesteros
影响因子:
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作者:
P. Sui;N. Djilali
通讯作者:
P. Sui;N. Djilali