Reducing CO2 emission from exhaust gases using molten carbonate fuel cells: a new approach |
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Authors: | Farzin Golzar Majid Astaneh Atefeh Behzadi Forough |
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Affiliation: | Department of Energy Engineering, Sharif University of Technology, Tehran, Iran |
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Abstract: | The aim of this study is to couple molten carbonate fuel cell (MCFC) stack with integrated gasification combined cycle fed by refinery residues, to remove CO2 from gas turbine exhaust gases that have CO2 emission rate of 14,200 ton/year. By applying multi-objective optimisation (MOO) using genetic algorithm, the optimal values of operating load and the corresponding values of objective functions are obtained. The MOO of the MCFC system regarding two scenarios is performed. The first scenario is minimisation of cost of electricity (COE) and CO2 emission rate. Objective functions of the second scenario are the same as in the first scenario while CO2 tax is taken into account. Results show that the second scenario has 29.5% lower average optimal COE and 2.5% lower average emission rate in comparison with the first scenario. A sensitivity analysis is also performed to study the effect of fuel price and CO2 tax variations on optimal solutions. |
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Keywords: | molten carbonate fuel cell multi-objective optimisation Pareto curve genetic algorithm CO2 separation |
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