Optimization of a liquefaction plant using genetic algorithms
作者： G. Cammarata , A. Fichera , D. Guglielmino
DOI: 10.1016/S0306-2619(00)00041-6
关键词: Field (computer science) 、 Genetic algorithm 、 Figure of merit 、 Reliability engineering 、 Cryogenics 、 Operations research 、 Refrigeration 、 Engineering 、 Liquefaction
摘要: This paper presents an optimization methodology for liquefaction/refrigeration systems in the cryogenic field. The Figure of Merit has been chosen as evaluation index, and genetic algorithms criteria. applied to existing helium liquefaction system that works according a Collins cycle. results show possibility adjusting some thermal-pressure variables order improve Merit.
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