具有非理想气体工质的往复式Brayton循环多目标优化

Multi-Objective Optimization of Reciprocating Brayton Cycles with Non-Ideal Gas Working Fluid

基于前人建立的不可逆往复式Brayton循环模型,在考虑多种不可逆损失项和非理想气体比热模型的情况下,以压缩比为优化变量,对无因次功率、效率、无因次生态学函数和无因次功率密度进行性能分析与多目标优化,并通过比较3种决策方式得到的的偏差指数,获得优化方案。结果表明:在进行单目标分析时,四个目标函数性能指数会随着不可逆损失项系数的增大而减小;多目标优化结果相比单目标优化更优,其设计方案更理想。

Based on the previously established irreversible reciprocating Brayton cycle model,and considering a variety of irreversible loss terms and non-ideal gas specific heat model,the performance analysis and multiobjective optimization were conducted for the dimensionless power,efficiency,dimensionless ecological function and dimensionless power density taking the compression ratio as the optimization variable.The optimal scheme was obtained by comparing the deviation index of the three decision methods.The results show that the performance index of the four objective functions decreases with the increase of the irreversible loss coefficient in the single objective analysis.Compared with the single objective optimization,the multi-objective optimization results are better and the design scheme is more ideal.