TY - JOUR
T1 - Energy optimization of a non-aqueous solvent CO2 absorption system with pressure swing regeneration
AU - , Chairunnisa
AU - Zhou, Yingxin
AU - Wu, Yitong
AU - You, Cheng
AU - Thu, Kyaw
AU - Miyazaki, Takahiko
AU - Uehara, Yusuke
AU - Machida, Hiroshi
AU - Norinaga, Koyo
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/6
Y1 - 2024/6
N2 - This study focuses on optimizing the energy requirement in the post-combustion CO2 capture system using pressure swing regeneration through a model-based design (MBD). The simulation results highlight the significant impact of CO2 recovery, inlet gas and liquid flow rate, and CO2 concentration in the flue gas on the overall energy demand of the system. Moreover, an investigation into the de-sublimation chamber was undertaken, revealing a relationship between dry ice formation and the heat transfer between the LNG stream and CO2 in the heat exchanger. The parametric analysis study reveals that the sensible heat of the lean solvent is significantly influenced by the CO2 concentration in the liquid, consequently affecting the overall system energy. According to the results, the utilization of cold energy from LNG could save 80 % of the total energy requirement. The optimization results found the best working condition, which consumes energy of 0.190 GJ/ton CO2, 31 % lower than the basic scenario.
AB - This study focuses on optimizing the energy requirement in the post-combustion CO2 capture system using pressure swing regeneration through a model-based design (MBD). The simulation results highlight the significant impact of CO2 recovery, inlet gas and liquid flow rate, and CO2 concentration in the flue gas on the overall energy demand of the system. Moreover, an investigation into the de-sublimation chamber was undertaken, revealing a relationship between dry ice formation and the heat transfer between the LNG stream and CO2 in the heat exchanger. The parametric analysis study reveals that the sensible heat of the lean solvent is significantly influenced by the CO2 concentration in the liquid, consequently affecting the overall system energy. According to the results, the utilization of cold energy from LNG could save 80 % of the total energy requirement. The optimization results found the best working condition, which consumes energy of 0.190 GJ/ton CO2, 31 % lower than the basic scenario.
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U2 - 10.1016/j.ijggc.2024.104154
DO - 10.1016/j.ijggc.2024.104154
M3 - Article
AN - SCOPUS:85192673004
SN - 1750-5836
VL - 135
JO - International Journal of Greenhouse Gas Control
JF - International Journal of Greenhouse Gas Control
M1 - 104154
ER -