Multi-objective optimization of molten carbonate fuel cell system for reducing CO

2015年第9卷第1期

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《能源前沿（英文）》 >> 2015年第9卷第1期 doi: 10.1007/s11708-014-0341-7

Multi-objective optimization of molten carbonate fuel cell system for reducing CO

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Department of Energy Engineering, Sharif University of Technology, Tehran 14565114, Iran

录用日期： 2015-02-02 发布日期：2015-03-02

摘要

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.

关键词

molten carbonate fuel cell (MCFC) ; multi-objective optimization (MOO) ; Pareto curve ; genetic algorithm ; CO₂ separation

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