内可逆闭式回热燃气轮机循环的五目标优化OA

Based on the endoreversible closed regenerated gas turbine cycle model established in previous literature,the multi-objective optimization of the cycle was carried out using the finite time thermodynamic theory and Nondominated Sorting Genetic Algorithm(NSGA-Ⅱ).With fixed total thermal conductance of three heat exchangers and given thermal conductance distribution of regenerator,the dimensionless power((P)),efficiency(η),dimensionless ecological function((E)),dimensionless power density(Pd)and dimensionless efficient power((E)r)were taken as optimization objectives.Taking the thermal conductance distribution of high temperature heat exchanger and compressor pressure ratio as optimization variables,the optimization of arbitrary combinations of single-,two-,three-,four-and five-objective was carried out.The deviation indexes of the optimization results were obtained using three decision modes,namely LINMAP,TOPSIS and Shannon Entropy.The results were as follows:the design schemes of the optimal combination obtained by multi-objective optimization were all superior to the single-objective optimization scheme;in five-objective optimization,the optimum thermal conductance distribution of high temperature heat exchanger in the optimization scheme was in range of 0.39 to 0.405,and the optimum compressor pressure ratio was in range of 7 to 22.5.