作者: Mohammad Mahdi Naserian , Said Farahat , Faramarz Sarhaddi
DOI: 10.1016/J.ENCONMAN.2015.07.020
关键词:
摘要: Abstract In this study, the optimal performance of a regenerative Brayton cycle is sought through power and then ecological function maximization using finite-time thermodynamic concept finite-size components. Multi-objective optimization used for maximizing function. Optimizations are performed genetic algorithm. order to take into account concepts in current problem, dimensionless mass-flow parameter introduced deploying time variations. The variations output power, total exergy destruction system, decision variables optimum state (maximum state) compared maximum parameter. modified obtained plotted relating One can see that study results better than with state. Finally, appropriate zone heat engine will be obtained.