Frontiers in Energy
>> 2015,
Volume 9,
Issue 1
doi:
10.1007/s11708-014-0341-7
RESEARCH ARTICLE
Multi-objective optimization of molten carbonate fuel cell system for reducing CO
Department of Energy Engineering, Sharif University of Technology, Tehran 14565114, Iran
Accepted: 2015-02-02
Available online: 2015-03-02
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Abstract
The aim of this paper is to investigate the implementation of a molten carbonate fuel cell (MCFC) as a CO separator. By applying multi-objective optimization (MOO) using the genetic algorithm, the optimal values of operating load and the corresponding values of objective functions are obtained. Objective functions are minimization of the cost of electricity (COE) and minimization of CO emission rate. CO tax that is accounted as the pollution-related cost, transforming the environmental objective to the cost function. The results show that the MCFC stack which is fed by the syngas and gas turbine exhaust, not only reduces CO emission rate, but also produces electricity and reduces environmental cost of the system.
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