Multi-objective optimization of molten carbonate fuel cell system for reducing CO sub(2) emission from exhaust gases

The aim of this paper is to investigate the implementation of a molten carbonate fuel cell (MCFC) as a CO sub(2) 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 obtaine...

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Bibliographic Details
Published inFrontiers in Energy Vol. 9; no. 1; pp. 106 - 114
Main Authors Roshandel, Ramin, Astaneh, Majid, Golzar, Farzin
Format Journal Article
LanguageEnglish
Published 01.03.2015
Subjects
Carbon dioxide
Cost engineering
Electricity
Emission
Emissions control
Exhaust
Minimization
Molten carbonate fuel cells
Optimization
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Summary:The aim of this paper is to investigate the implementation of a molten carbonate fuel cell (MCFC) as a CO sub(2) 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 sub(2) emission rate. CO sub(2) 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 sub(2) emission rate, but also produces electricity and reduces environmental cost of the system.
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ISSN:2095-1701
2095-1698
DOI:10.1007/s11708-014-0341-7