Mechanical Response of a Large Fuel Cell Stack to Impact: A Numerical Analysis

Fuel Cells ◽  
2015 ◽  
Vol 15 (2) ◽  
pp. 344-351 ◽  
Author(s):  
C.-W. Wu ◽  
B. Liu ◽  
M.-Y. Wei ◽  
W. Zhang
Keyword(s):  
Fuel Cell ◽  
Numerical Analysis ◽  
Mechanical Response ◽  
Fuel Cell Stack

Numerical Analysis of a Molten Carbonate Fuel Cell Stack in Emergency Scenarios

2020 ◽  
Vol 142 (9) ◽  
Author(s):  
Arkadiusz Szczęśniak ◽  
Jarosław Milewski ◽  
Łukasz Szabłowski ◽  
Olaf Dybiński ◽  
Kamil Futyma
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Numerical Analysis ◽  
High Accuracy ◽  
Molten Carbonate Fuel Cell ◽  
Molten Carbonate ◽  
Fuel Cell Stack ◽  
Power Load ◽  
Emergency Scenarios ◽  
Carbonate Fuel Cell

Abstract Molten carbonate fuel cells (MCFCs) offer several advantages that are attracting an increasingly intense research and development effort. Recent advances include improved materials and fabrication techniques as well as new designs, flow configurations, and applications. Several factors are holding back large-scale implementation of fuel cells, though, especially in distributed energy generation, a major one being their long response time to changing parameters. Alternative mathematical models of the molten carbonate fuel cell stack have been developed over the last decade. This study investigates a generic molten carbonate fuel cell stack with a nominal power output of 1 kWel. As daily, weekly, and monthly variations in the electrical power load are expected, there is a need to develop numerical tools to predict the unit’s performance with high accuracy. Hence, a fully physical dynamic model of an MCFC stack was developed and implemented in aspen hysys 10 modeling software to enable a predictive analysis of the dynamic response. The presented model exhibits high accuracy and accounts for thermal and electrochemical processes and parameters. The authors present a numerical analysis of an MCFC stack in emergency scenarios. Further functionality of the model, which was validated using real operational data, is discussed.

Numerical analysis of relative humidity distribution in polymer electrolyte fuel cell stack including cooling water

2006 ◽  
Vol 162 (1) ◽  
pp. 81-93 ◽  
Author(s):  
Gen Inoue ◽  
Takashi Yoshimoto ◽  
Yosuke Matsukuma ◽  
Masaki Minemoto ◽  
Hideki Itoh ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Numerical Analysis ◽  
Relative Humidity ◽  
Polymer Electrolyte ◽  
Cooling Water ◽  
Polymer Electrolyte Fuel Cell ◽  
Fuel Cell Stack
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