• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>11th fuel cell science, engineering, and technology conference 2013 >LATTICE BOLTZMANN MODELING OF ADVECTION-DIFFUSION TRANSPORT WITH ELECTROCHEMICAL REACTIONS IN A POROUS SOFC ANODE STRUCTURE
【24h】

LATTICE BOLTZMANN MODELING OF ADVECTION-DIFFUSION TRANSPORT WITH ELECTROCHEMICAL REACTIONS IN A POROUS SOFC ANODE STRUCTURE

机译：多孔SOFC阳极结构中带有电化学反应的扩散扩散输运的格子Boltzmann模型

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Lattice Boltzmann method (LBM) is a method that can be used to capture the detailed activities of the transport processes at microscale. Here LBM is used to model the porous anode for an anode-supported Solid Oxide Fuel Cell (SOFC). The purpose of this study is to investigate the effects of electrochemical reactions on the transport processes by a 3D model at microscale. A porous 3D modeling domain is created with randomly placed spheres to resemble the part of the anode structure close to the electrolyte. The 3D model is simulated with parallel computing in Python using Palabos and also MATLAB to capture the active microscopic catalytic effects on the heat and mass transport. A multicomponent reaction-advection-diffusion transport for three components (H_2, H_2O and O~(2-)) is analyzed with electrochemical reactions and particle collisions. This combined with the heat, momentum and charge transport in the 3D model. It is here been shown that LBM can be used to evaluate the microscale effect of electrochemical reactions on the transport processes and some potential risk of hot spots to reduce harming interaction sites. The electrochemical potential is gradually increased along the flow direction as the species come in contact with each other. There is a potential risk for a hot spot when the active interacting species reach a catalytic layer and the smooth flow pattern is disturbed. Improving the flow structure by the catalytic interface can increase interaction of the reforming reactions and the electrochemical reactions, which in turn can improve the cell performance.
机译：格子波尔兹曼法（LBM）是一种可用于捕获微观尺度上运输过程详细活动的方法。在这里，LBM用于为阳极支撑的固体氧化物燃料电池（SOFC）建模多孔阳极。这项研究的目的是通过微型3D模型研究电化学反应对运输过程的影响。使用随机放置的球体创建多孔3D建模域，以类似于阳极结构靠近电解质的部分。使用Palabos和MATLAB在Python中使用并行计算对3D模型进行了仿真，以捕获对热量和质量传递的有效微观催化作用。通过电化学反应和粒子碰撞分析了三种组分（H_2，H_2O和O〜（2-））的多组分反应-对流-扩散传输。这与3D模型中的热量，动量和电荷传输结合在一起。此处表明，LBM可用于评估电化学反应对运输过程的微观影响以及热点的某些潜在风险，以减少伤害性相互作用位点。随着物质彼此接触，电化学势沿流动方向逐渐增加。当活性相互作用的物质到达催化层并且扰乱了平滑的流动模式时，存在潜在的热点风险。通过催化界面改善流动结构可以增加重整反应和电化学反应的相互作用，从而可以改善电池性能。

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