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首页> 外文期刊>Journal of power sources >Fuel cell cathode air filters: Methodologies for design and optimization
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Fuel cell cathode air filters: Methodologies for design and optimization

机译:燃料电池阴极空气滤清器:设计和优化方法

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摘要

Proton exchange membrane (PEM) fuel cells experience performance degradation, such as reduction in efficiency and life, as a result of poisoning of platinum catalysts by airborne contaminants. Research on these contaminant effects suggests that the best possible solution to allowing fuel cells to operate in contaminated environments is by filtration of the harmful contaminants from the cathode air. A cathode air filter design methodology was created that connects properties of cathode air stream, filter design options, and filter footprint, to a set of adsorptive filter parameters that must be optimized to efficiently operate the fuel cell. Filter optimization requires a study of the trade off between two causal factors of power loss: first, a reduction in power production due to poisoning of the platinum catalyst by chemical contaminants and second, an increase in power requirements to operate the air compressor with a larger pressure drop from additional contaminant filtration. The design methodology was successfully applied to a 1.2 kW fuel cell using a programmable algorithm and predictions were made about the relationships between inlet concentration, breakthrough time, filter design, pressure drop, and compressor power requirements.
机译:质子交换膜(PEM)燃料电池由于空气污染物污染铂催化剂而导致性能下降,例如效率和寿命降低。对这些污染物影响的研究表明,允许燃料电池在受污染的环境中运行的最佳解决方案是过滤掉阴极空气中的有害污染物。创建了阴极空气过滤器设计方法,该方法将阴极空气流的特性,过滤器设计选项和过滤器足迹连接到必须优化以有效运行燃料电池的一组吸附式过滤器参数上。过滤器的优化需要研究功率损耗的两个因果之间的折衷:首先,由于铂污染物被化学污染物中毒而导致的发电量减少;其次,以更大的功率运行空气压缩机的功率需求增加额外的污染物过滤产生的压降。该设计方法已使用可编程算法成功应用于1.2 kW燃料电池,并对进气口浓度,穿透时间,过滤器设计,压降和压缩机功率需求之间的关系进行了预测。

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