Optimization of a 5 t/d hydrogen liquefaction process
LIN Yujun, ZHANG Shurui, XUE Mingzhe, ZHU Shaowei (同済大)
Abstract:Large-scale hydrogen liquefaction is crucial for storage and transport of clean hydrogen. This work numerically optimizes an existing 5 t/d liquefaction system to reduce energy consumption. Specific energy consumption (SEC) is the objective function; decision variables include refrigerant flow rate, compressor outlet pressure, and heat exchanger outlet temperature. An optimization framework coupling MATLAB and Aspen HYSYS with genetic algorithm (GA) is established. Thermodynamic analysis of the optimized process evaluates SEC, exergy loss, and composite curves. SEC decreases from 10.5 to 7.96 kWh/kg LH2.