Multiobjective optimization of a hydrogen production system with low CO ₂ emissions

Since the steam methane reforming usually increases the temperature of stream and concentration of CO ₂, this work introduces a CO ₂ reformer that can produce syngas by consuming CH ₄ and CO ₂. In the proposed configuration, a CO ₂ reformer is directly added between the steam methane reforming (SMR) process and a high-temperature shift (HTS) converter. To pursue the process optimization with respect to maximizing hydrogen production and minimizing carbon dioxide emission, a nondominated sorting genetic algorithm-II (NSGA-II) is employed to solve a constrained multiobjective optimization (MOO) problem. Finally, the proposed system configuration with heat recovery manner is validated by an Aspen HYSYS simulator.