A molten carbonate fuel cell system (MCFCS) often has high level integration of various components. A simulation tool is highly desirable for the investigation of such a complex system operating in load-following modes; thus, the theoretical modelling of a complete MCFCS has been presented in this p
Analysis of temperature and pressure fields in molten carbonate fuel cell stacks
β Scribed by Joon-Ho Koh; Byoung Sam Kang; Hee Chun Lim
- Publisher
- American Institute of Chemical Engineers
- Year
- 2001
- Tongue
- English
- Weight
- 383 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0001-1541
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β¦ Synopsis
Abstract
A mathematical model based on fluid dynamics and heatβtransfer theories was applied to predict gas dynamic pressure and temperature distribution in a coflow molten carbonate fuel cell (MCFC) stack. The mass balance was simplified to obtain exact solutions with an assumption of uniform current density in the cell. The simulations were compared with data from a pilotβscale MCFC stack. The effect of internal geometry of gas channels was simulated to accurately predict the gasβpressure drop. A close prediction of pressure drop was possible from a partially blocked gas channel model that approximates the significant flow resistance. The effect of external boundary conditions on stack temperature profile was also analyzed. Temperatures were accurately predicted from a boundary heat conduction model with a reasonable assumption of wet seal temperatures. The 2βD boundary conditions could be extended to 3βD simulations to predict temperature distribution with the same accuracy. The model was applied to see the effect of scaleβup on the maximum temperature rise and average cell potential. The result verified a significant effect of cell size on the maximum stack temperature.
π SIMILAR VOLUMES
A molten carbonate fuel-cell stack is a new, non-standard component in power-generation systems. Its power-generation capability and the safety operation with regard to load-following conditions must be identi"ed. A three-dimensional dynamic stack model using computational #uid dynamics technique is