A random resistor network analysis on anodic performance enhancement of solid oxide fuel cells by penetrating electrolyte structures

2005 ◽  
Vol 139 (1-2) ◽  
pp. 21-29 ◽  
Author(s):  
Dong Hyup Jeon ◽  
Jin Hyun Nam ◽  
Charn-Jung Kim
2015 ◽  
Vol 280 ◽  
pp. 406-409 ◽  
Author(s):  
Hailu Dai ◽  
Shoucheng He ◽  
Han Chen ◽  
Shancheng Yu ◽  
Lucun Guo

2019 ◽  
Vol 14 ◽  
pp. 100362 ◽  
Author(s):  
Matthew Y. Lu ◽  
Roberto Scipioni ◽  
Beom-Kyeong Park ◽  
Tianrang Yang ◽  
Yvonne A. Chart ◽  
...  

ACS Omega ◽  
2017 ◽  
Vol 2 (3) ◽  
pp. 806-813 ◽  
Author(s):  
Alireza Karimaghaloo ◽  
Angela Macedo Andrade ◽  
Simranjit Grewal ◽  
Joon Hyung Shim ◽  
Min Hwan Lee

Author(s):  
Junxiang Shi ◽  
Xingjian Xue

Suitable porous electrode design may play a significant role in the performance enhancement of solid oxide fuel cells (SOFCs). In this paper a genetic algorithm optimization method is employed to design electrodes based on a 2D planar SOFC model development. The objective is to find suitable porosities and particle sizes distributions for both anode and cathode electrodes so that the cell performance can be maximized. The results indicate that the optimized heterogeneous morphology may better improve SOFC performance than the homogeneous counterpart, particularly under relatively high current density conditions. The optimization results are dependent on the operating conditions. The effects of inlet mass flow rates and fuel compositions are investigated. The proposed approach provides a systematical method for electrode microstructure designs of high performance SOFCs.


2013 ◽  
Vol 51 (2) ◽  
pp. 125-130 ◽  
Author(s):  
Sun-Min Park ◽  
Hae-Ran Cho ◽  
Byung-Hyun Choi ◽  
Yong-Tae An ◽  
Ja-Bin Koo ◽  
...  

2015 ◽  
Vol 30 (10) ◽  
pp. 1043
Author(s):  
CHANG Xi-Wang ◽  
CHEN Ning ◽  
WANG Li-Jun ◽  
BIAN Liu-Zhen ◽  
LI Fu-Shen ◽  
...  

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