Abstract
Gas liquefaction is one of the main applications of cryogenics science. Due to the unique properties of Helium, it can be used for several important applications. Therefore, appropriate and applicable analysis should be used to investigate and optimize the Helium liquefaction cycles. In the current study, the focus will be identifying the optimal point of the Collins’ cycle by performing energy and exergy analysis based on economic criterion. In order to simulate the cycle, a computer code is developed. Firstly, sensitivity analysis of different parameters affecting exergy efficiency and liquid fraction of the cycle has been done. Secondly, Artificial Neural Network and Genetic Algorithm is used to reach the optimal point of the cycle. The results indicate that a Collins’ cycle with 4 stages of pre-cooling in the cold-box section has the maximum exergy efficiency of 40.32%, maximum liquid fraction of 9.98%, and maximum economic profitability of 36 million dollars. These values are 60%, 50% and 40% greater compared to a Collins’ cycle with 2 stages of pre-cooling.
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