Optimization of hydrogen liquefaction process based on parallel genetic algorithm

Abstract

The optimization process of hydrogen liquefaction process is complex and time-consuming. In order to solve the above problems and improve the solving efficiency of the optimization process, this paper proposed the method of using parallel genetic algorithm combined with simulation software for optimization. Parallel genetic algorithm effectively overcomes the premature convergence of standard genetic algorithm and has strong global search ability. The parallel processing accelerates the optimization process by 2.01 times, and saves 50.22% of the time compared with the serial calculation. It not only improves the solving speed, but also improves the solving quality and the calculation performance. After optimization, the specific energy consumption of the system is reduced by 52.26%, the exergy loss is reduced by 49.81%, the heat exchange efficiency is improved, and the process performance of the system is improved. This work has reference significance for hydrogen liquefaction process optimization using parallel genetic algorithm.