Thermodynamic evaluation and multi-objective optimization of molten carbonate fuel cell-supercritical CO2 Brayton cycle hybrid system

摘要: Abstract Fuel cell-heat engine hybrid system is a relatively new discipline which proposes to utilize the excess high-temperature heat of fuel cell as source for engine. This paper concerned with thermodynamic analysis molten carbonate cell-SCO2 Brayton optimize its performance based on list criteria. Four objective functions are considered, including energy efficiency, power density, exergy destruction rate density and ecological function study influence four main parameters, compressor inlet temperature turbine cycle, interconnect plate area current cell, cycle. The strong conflict between necessitates multi-objective optimization procedure and, therefore, three scenarios proposed, each takes into account combination these functions. evolutionary method integrated non-dominated sorting genetic algorithm used obtain Pareto optimal frontiers. Finally, efficient decision-making tools TOPSIS, LINMAP Fuzzy employed by means best answers in case scenario selected. Examining results example, first scenario, doesn’t consider meet their optimum values, 1.314 0.3864 kW/m2, respectively. However, efficiency falls 10% compared maximum, occurs third (0.6676), where isn’t included, drops 25% own second (2.2783 kW/m2), not. indicates confliction also necessity this kind analysis. would roughly provide condition if one wanted all be together.