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Assessment of different bio-inspired flow fields for direct methanol fuel cells through 3D modeling and experimental studies

机译:通过3D建模和实验研究评估直接甲醇燃料电池的不同生物启发流场

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The performance impact of using bio-inspired interdigitated and non-interdigitated flow fields (I-FF and NI-FF, respectively) within a DMFC is investigated. These two flow fields, as well as a conventional serpentine flow field (S-FF, used as a reference), were examined as possible anode and cathode flow field candidates. To examine the performance of each of these candidates, each flow field was manufactured and experimentally tested under different anode and cathode flow rate combinations (1.3 mL/min [methanol] and 400 mL/min [oxygen], as well as 2 and 3 times these flow rates), and different methanol concentrations (0.50 M, 0.75 M, and 1.00 M). To help understand the experimental results and the underlying physics, a three dimensional numerical model was developed. Of the examined flow fields, the S-FF and the I-FF yielded the best performance on the anode and cathode, respectively. This finding was mainly due to the enhanced under-rib convection of both of these flow fields. Although the I-FF provided a higher mean methanol concentration on the anode catalyst layer surface, its distribution was less uniform than that of the S-FF. This caused the rate of methanol permeation to the cathode to increase (for the anode I-FF configuration), along with the anode and cathode activation polarizations, deteriorating the fuel cell performance. The NI-FF provided the lowest pressure drops of the examined configurations. However, the hydrodynamics within the flow field made the reactants susceptible to traveling directly from inlet to outlet, leading to several low concentration pockets. This significantly decreased the reactant uniformity across its respective catalyst layer, and caused this FFs performance to be the lowest of the examined configurations. Crown Copyright (C) 2017 Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC. All rights reserved.
机译:研究了在DMFC中使用生物启发的叉指和非叉指流场(分别为I-FF和NI-FF)对性能的影响。检查了这两个流场以及常规的蛇形流场(用作参考的S-FF)作为可能的阳极和阴极流场候选对象。为了检查每种候选物的性能,制造了每个流场,并在不同的阳极和阴极流速组合(1.3 mL / min [甲醇]和400 mL / min [氧气]以及2和3倍)下进行了实验测试。这些流速)和不同的甲醇浓度(0.50 M,0.75 M和1.00 M)。为了帮助理解实验结果和基础物理,开发了三维数值模型。在检查的流场中,S-FF和I-FF分别在阳极和阴极上产生了最佳性能。这一发现主要归因于这两个流场的肋下对流增强。尽管I-FF在阳极催化剂层表面上提供了较高的平均甲醇浓度,但其分布不如S-FF均匀。这导致甲醇渗透到阴极的速率增加(对于阳极I-FF配置),以及阳极和阴极的激活极化,从而使燃料电池的性能下降。 NI-FF提供了所检查配置中最低的压降。但是,流场内的流体动力学使反应物易于直接从入口移动到出口,从而导致几个低浓度的囊袋。这显着降低了其各自催化剂层上的反应物均匀性,并使FFs性能成为所检查构型中最低的。官方版权(C)2017,由Elsevier Ltd代表Hydrogen Energy Publications LLC发布。版权所有。

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