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The nonisothermal two‐phase model based on mixed convection in passive μDMFC
Asia-Pacific Journal of Chemical Engineering ( IF 1.4 ) Pub Date : 2020-11-25 , DOI: 10.1002/apj.2596
Luwen Wang 1 , Zhenyu Yuan 2
Affiliation  

During the working process of passive microdirect methanol fuel cell (μDMFC), the characteristics of inverse movement between two‐phase substances are quite distinct from macro gas–liquid inverse movement, including electrochemical reactions, electrical drag, multicomponent diffusion, evaporation, and condensation. Due to the complexity of internal operation system of μDMFC, it is difficult to monitor and analyze dynamic property currently only by experiment. Therefore, in this paper, an integrated and accurate prediction model to explore two‐phase transmission is build up, to investigate different effects by varying parameters, and to maximize cell performance. First, the accuracy of the simulation is proved by experimental tests. Then, a comprehensive, two‐phase mass transfer model of passive DMFC is established. The methanol concentration, oxygen concentration, cathode and anode flow velocity and pressure distribution, potential distribution, and anode saturation distribution are studied. Moreover, a nonisothermal model considering the natural convection in the anode is established, the velocity field in the tank, the temperature distribution of the cell, the methanol distribution, and the temperature distribution on the anode catalyst layer is optimized. The research results can provide accurate theoretical support for fuel cell internal component preparation and μDMFC portable applications.

中文翻译:

无源μDMFC中基于混合对流的非等温两相模型

在被动式微直接甲醇燃料电池(μDMFC)的工作过程中,两相物质之间的逆向运动与宏观的气液逆向运动非常不同,包括电化学反应,电阻力,多组分扩散,蒸发和冷凝。由于μDMFC内部操作系统的复杂性,目前仅通过实验就难以监视和分析动态特性。因此,在本文中,我们建立了一个综合,准确的预测模型来探索两相传输,以通过改变参数来研究不同的影响,并最大限度地提高电池性能。首先,通过实验测试证明了仿真的准确性。然后,建立了无源DMFC的全面的两阶段传质模型。甲醇浓度 研究了氧浓度,阴极和阳极的流速和压力分布,电势分布以及阳极饱和度分布。此外,建立了考虑阳极自然对流的非等温模型,优化了槽中的速度场,电池的温度分布,甲醇分布以及阳极催化剂层上的温度分布。研究结果可为燃料电池内部组件的制备和μDMFC便携式应用提供准确的理论支持。优化电池的温度分布,甲醇分布以及阳极催化剂层上的温度分布。研究结果可为燃料电池内部组件的制备和μDMFC便携式应用提供准确的理论支持。优化电池的温度分布,甲醇分布以及阳极催化剂层上的温度分布。研究结果可为燃料电池内部组件的制备和μDMFC便携式应用提供准确的理论支持。
更新日期:2020-11-25
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