The model-based design has considerably reduced the design cycle time and minimized development risks and resulted in a stack design with a 20% higher output and reduced temperature differential, leading to lower power system cost. Mathematical models have been used successfully in understanding fundamental processes at the electrodes and also to design cell and stack components. Evolution of MCFC models from electrode, cell, and stack has proceeded in parallel with cell and stack technology development. Because the fuel cell process involves transport processes and electrochemical reactions, which are interrelated and affect the fuel cell performance, mathematical models provide the insight and understanding in guiding the design and development. Mathematical models are effective tools for MCFC cell and stack design and optimization. Farooque, in Encyclopedia of Electrochemical Power Sources, 2009 Conclusions FUEL CELLS – MOLTEN CARBONATE FUEL CELLS | Modeling
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