蒙特卡罗方法
电解质
质子交换膜燃料电池
扩散
润湿
阴极
电流(流体)
液态水
动能
水运
机械
材料科学
化学
气体扩散
化学物理
热力学
膜
电极
环境科学
复合材料
环境工程
物理
水流
物理化学
量子力学
生物化学
统计
数学
作者
Anahid Pournemat,Florian Wilhelm,Joachim Scholta
摘要
The liquid water produced in the cathode reaction layer of a polymer electrolyte membrane fuel cell (PEMFC) can obstruct the transport paths of the reactant gases within the gas diffusion layers (GDL), especially at high current densities. This may lead to fuel starvation, reduced overall cell performance and lifetime. In this study, using a newly developed multi-timescale kinetic Monte Carlo model, the evolution of the liquid water distribution over time within a real GDL structure for different current densities is simulated. The processes included in this model comprise water transport and water generation, which occur on two different timescales. The multi-timescale model allows for sampling both process types by implementing the much slower water production reaction with a defined interval among the faster and more frequent water movement steps. The simulation results reveal how the real cell operating conditions and GDL surface wetting properties can affect the amount and distribution of liquid water clusters within the structure.
科研通智能强力驱动
Strongly Powered by AbleSci AI