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Multi-objective performance optimization of irreversible molten carbonate fuel cell–Braysson heat engine and thermodynamic analysis with ecological objective approach

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  • Ahmadi, Mohammad H.
  • Jokar, Mohammad Ali
  • Ming, Tingzhen
  • Feidt, Michel
  • Pourfayaz, Fathollah
  • Astaraei, Fatemeh Razi

Abstract

High technology energy systems have generated a lot of interest due to their significant contribution to efficient and environmentally friendly energy production. Among them there are hybrid cycles which usually have higher energy efficiencies and can provide different forms of energy at the same time. The present research poses a question concerning thermodynamic performance of a molten carbonate fuel cell (MCFC)-Braysson heat engine, conducting a multi-objective optimization study, to give a general description of this hybrid cycle. For this purpose, energy efficiency, power density and exergy destruction rate density are considered as the objective functions in conjunction with ecological function density. First, a parametric evaluation is conducted in order to study the effect of the decision variables on the targets separately. These variables include current density of the fuel cell, turbine inlet temperature, effectiveness of the hot side of the heat exchanger which recovers the waste heat of the fuel cell to run the Braysson cycle, and ratio of heat capacity to heat conductance of the cold side of the heat exchanger which rejects the extra low-temperature heat of the Braysson cycle to the environment. Afterwards, due to the great conflict between the objective functions, three case scenarios of triple multi-objective optimization are defined, considering different combinations of the objective functions; and a Pareto front is obtained for each. Multi-objective evolutionary algorithm joined with non-dominated sorting genetic algorithm approach is employed to this aim. In order to ascertain final solutions between Pareto fronts, three fast and robust decision making methods are employed including LINMAP, TOPSIS and Fuzzy. Finally, the relationship between the objective functions is studied.

Suggested Citation

  • Ahmadi, Mohammad H. & Jokar, Mohammad Ali & Ming, Tingzhen & Feidt, Michel & Pourfayaz, Fathollah & Astaraei, Fatemeh Razi, 2018. "Multi-objective performance optimization of irreversible molten carbonate fuel cell–Braysson heat engine and thermodynamic analysis with ecological objective approach," Energy, Elsevier, vol. 144(C), pages 707-722.
    • Handle: RePEc:eee:energy:v:144:y:2018:i:c:p:707-722
    DOI: 10.1016/j.energy.2017.12.028
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    9. Chen, Lingen & Liu, Xiaowei & Wu, Feng & Xia, Shaojun & Feng, Huijun, 2020. "Exergy-based ecological optimization of an irreversible quantum Carnot heat pump with harmonic oscillators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
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    11. Chen, Lingen & Shi, Shuangshuang & Ge, Yanlin & Feng, Huijun, 2023. "Power density performances and multi-objective optimizations for an irreversible Otto cycle with five specific heat models of working fluid," Energy, Elsevier, vol. 282(C).
    12. Badur, Janusz & Lemański, Marcin & Kowalczyk, Tomasz & Ziółkowski, Paweł & Kornet, Sebastian, 2018. "Zero-dimensional robust model of an SOFC with internal reforming for hybrid energy cycles," Energy, Elsevier, vol. 158(C), pages 128-138.
    13. Abdollahipour, Armin & Sayyaadi, Hoseyn, 2021. "Thermal energy recovery of molten carbonate fuel cells by thermally regenerative electrochemical cycles," Energy, Elsevier, vol. 227(C).
    14. Frangopoulos, Christos A., 2018. "Recent developments and trends in optimization of energy systems," Energy, Elsevier, vol. 164(C), pages 1011-1020.
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    16. Akrami, Ehsan & Ameri, Mohammad & Rocco, Matteo V., 2021. "Conceptual design, exergoeconomic analysis and multi-objective optimization for a novel integration of biomass-fueled power plant with MCFC-cryogenic CO2 separation unit for low-carbon power productio," Energy, Elsevier, vol. 227(C).

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