Multi-objective thermo-economic optimization of solar parabolic dish Stirling heat engine with regenerative losses using NSGA-II and decision making
作者： Rajesh Arora , S.C. Kaushik , Raj Kumar , Ranjana Arora
DOI: 10.1016/J.IJEPES.2015.07.010
关键词: Mathematical optimization 、 Heat engine 、 Solar energy 、 TOPSIS 、 Thermal bridge 、 Thermal efficiency 、 Engineering 、 Stirling engine 、 Evolutionary algorithm 、 Convective heat transfer
摘要: Abstract The proposed work investigates optimal values of various decision variables that simultaneously optimize power output, overall thermal efficiency and thermo-economic function solar driven Stirling heat engine with regenerative losses, conducting bridging losses using evolutionary algorithm based on second version non-dominated sorting genetic (NSGA-II) in matrix laboratory (MATLAB) simulink environment. Effects design parameters as absorber temperature, concentrating ratio, radiative convective transfers are considered for the investigation. Pareto frontier is obtained triple dual objectives best value selected through four different making techniques viz. Fuzzy Bellman-Zadeh, Shannon’s entropy, LINMAP TOPSIS. optimum average temperature ratio found to be 1168 K 1300, respectively. Triple objective approach applied model gives (38.96 kW, 0.2392, 0.3124) which 17.09%, 35.09% 10.74%, respectively lower comparison reversible system. With error investigation, maximum results reckoned at last.
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