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Reducing CO2 emission from exhaust gases using molten carbonate fuel cells: a new approach

Golzar, F ; Sharif University of Technology | 2016

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  1. Type of Document: Article
  2. DOI: 10.1080/01430750.2014.963206
  3. Publisher: Taylor and Francis Ltd , 2016
  4. Abstract:
  5. 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. © 2014 Informa UK Limited, trading as Taylor & Francis Group
  6. Keywords:
  7. CO2 separation ; Genetic algorithm ; Molten carbonate fuel cell ; Multi-objective optimisation ; Pareto curve ; Carbon dioxide ; Carbonation ; Combustion ; Exhaust gases ; Gas turbines ; Genetic algorithms ; Multiobjective optimization ; Optimal systems ; Sensitivity analysis ; Cost of electricity ; Gas turbine exhausts ; Integrated gasification combined cycle ; Objective functions ; Operating loads ; Optimal solutions ; Refinery residues ; Molten carbonate fuel cells (MCFC)
  8. Source: International Journal of Ambient Energy ; Volume 37, Issue 4 , 2016 , Pages 331-340 ; 01430750 (ISSN)
  9. URL: http://www.tandfonline.com/doi/full/10.1080/01430750.2014.963206