Thermodynamic analysis and optimisation of an irreversible radiative-type heat engine by using non-dominated sorting genetic algorithm

摘要: Finite-time thermodynamics with an ecological principle is used for a heat engine irreversible radiative along losses owing to internal irreversibilities and the transfer through finite-temperature differences. In this study, function optimised regarding cycle temperature ratio effects of extreme are investigated on optimum performance. Paper presented here non-dominated sorting genetic algorithm called NSGA-II optimise thermal efficiency, dimensionless power simultaneously. Rather than sole ultimate outcome resulting in conventional single-objective optimisation, set solutions were obtained Pareto optimal frontier. Hence, order select final answer, progression decision making was utilised. Two decision-making procedures employed objectives’ space obtain optimu...