Sakib, A.N.; Shabab, A.T.; Ahmed, F.; Rahman, A. Optimization of Carbon Capture in Hydrogen Production via Steam Reforming: A Simulation-Based Case Study. Al-Bahir Journal for Engineering and Pure Sciences 2023, 4, doi:10.55810/2313-0083.1051.
Sakib, A.N.; Shabab, A.T.; Ahmed, F.; Rahman, A. Optimization of Carbon Capture in Hydrogen Production via Steam Reforming: A Simulation-Based Case Study. Al-Bahir Journal for Engineering and Pure Sciences 2023, 4, doi:10.55810/2313-0083.1051.
Sakib, A.N.; Shabab, A.T.; Ahmed, F.; Rahman, A. Optimization of Carbon Capture in Hydrogen Production via Steam Reforming: A Simulation-Based Case Study. Al-Bahir Journal for Engineering and Pure Sciences 2023, 4, doi:10.55810/2313-0083.1051.
Sakib, A.N.; Shabab, A.T.; Ahmed, F.; Rahman, A. Optimization of Carbon Capture in Hydrogen Production via Steam Reforming: A Simulation-Based Case Study. Al-Bahir Journal for Engineering and Pure Sciences 2023, 4, doi:10.55810/2313-0083.1051.
Abstract
Hydrogen has been considered a future energy carrier for decades and the demand for hydrogen in refineries is always upward due to the revival of new technologies. The steam methane reforming method is frequently employed because of its high hydrogen generation efficiency at a cheap cost and minimal negative impact on the environment. But depending on the type of feedstock, one unit of hydrogen generate 9-10 units of CO2 that is needed to be treated for environmental sustainability. Therefore, the optimization of hydrogen production and CO2 capture is very important to address. The simulation research was conducted to anticipate and optimize steam reforming using Aspen HYSYS. A conversion-type reactor was used to develop this simulation-based model. The primary goal of this work is to investigate and optimize the production efficiency of hydrogen and the mitigation of CO2 that is generated from the steam reforming process by varying process parameters. CO2 capture efficiency was investigated at the different yields for hydrogen production and was found that a maximum of 98.8% of the CO2 can be absorbed using the proposed carbon capture system. Later, the Aspen Energy Analyzer tool revealed potential improvements for energy and cost optimization.
Copyright:
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