Optimization of a liquefaction plant using genetic algorithms

This paper presents an optimization methodology for liquefaction/refrigeration systems in the cryogenic field. The Figure of Merit has been chosen as the evaluation index, and genetic algorithms as evaluation criteria. This methodology has been applied to an existing helium liquefaction system that works according to a Collins cycle. The results show the possibility of adjusting some of the thermal-pressure variables for the system in order to improve the Figure of Merit.