首页> 外文期刊>International journal of hydrogen energy >Characterizing membrane electrode assemblies for high temperature polymer electrolyte membrane fuel cells using design of experiments
【24h】

Characterizing membrane electrode assemblies for high temperature polymer electrolyte membrane fuel cells using design of experiments

机译:使用实验设计表征高温聚合物电解质膜燃料电池的膜电极组件

获取原文
获取原文并翻译 | 示例
           

摘要

A comparative study of four different high temperature polymer electrolyte membrane fuel cell (HT-PEFC) polybenzimidazole (PBI) based membrane electrode assemblies (MEAs) is undertaken utilizing the design of experiments (DOE) method, a very valuable statistical optimization method, much underutilized in fuel cell research. Single cell voltages are examined as a response (target variable) at two levels (high and low) of four factors (controlled variables); anode and cathode stoichiometry, operating temperature and current density. This yields a two-level, four factor (24) full factorial DOE. The data is used to form a linear regression model for each MEA, which is in turn utilized to predict the cell voltage at random values within the selected ranges of the four factors for validation. The main effects and two factor interactions of each factor are compared to determine their effect on the cell voltage and the underlying physics is examined to determine the best performing MEAs. The PBI based MEA has a much higher tolerance to carbon monoxide (CO) in the fuel stream in comparison with Nafion based MEAs due to the different proton conducting mechanism as well as a higher operating temperature, thus enabling reliable operation of HT-PEFC stacks with reformate containing upto 3% CO. (C) 2016 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:利用实验设计(DOE)方法对四种不同的高温聚合物电解质膜燃料电池(HT-PEFC)聚苯并咪唑(PBI)基膜电极组件(MEA)进行了比较研究,这是一种非常有价值的统计优化方法,未得到充分利用在燃料电池研究中。将单电池电压作为四个因素(控制变量)的两个级别(高和低)的响应(目标变量)进行检查;阳极和阴极化学计量比,工作温度和电流密度。这将产生两级四因子(24)全因子DOE。该数据用于形成每个MEA的线性回归模型,进而用于预测在四个因子的选定范围内的随机值下的电池电压,以进行验证。比较每个因素的主要影响和两个因素的相互作用,以确定它们对电池电压的影响,并检查基础物理,以确定性能最佳的MEA。与基于Nafion的MEA相比,基于PBI的MEA对燃料流中的一氧化碳(CO)具有更高的耐受性,这归因于不同的质子传导机制以及更高的工作温度,从而使HT-PEFC电池组能够可靠地运行重整产品,含不超过3%的CO。(C)2016氢能出版物有限公司。由Elsevier Ltd.出版。保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号