화학공학소재연구정보센터
Industrial & Engineering Chemistry Research, Vol.51, No.6, 2644-2651, 2012
Multiobjective Optimization of a Hydrogen Production System with Low CO2 Emissions
Since the steam methane reforming usually increases the temperature of stream and concentration of CO2, this work introduces a CO2 reformer that can produce syngas by consuming CH4 and CO2. In the proposed configuration, a CO2 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.