TY - JOUR
T1 - Energy-efficiency analysis of industrial CO2 removal system using nanoabsorbents
AU - Kim, Seonggon
AU - Xu, Ronghuan
AU - Lee, Wonhyeok
AU - Lim, Hwan Suk
AU - Kang, Yong Tae
N1 - Funding Information:
This work was partially supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (Grant number:NRF-2019R1A2B5B03069991 and NRF-2020R1A5A1018153).
PY - 2020
Y1 - 2020
N2 - CO2 physical absorption process is typically operated at a low temperature as low as −40 °C and high pressure. In this study, nanoabsorbents are applied to increase the operating temperature by improving the absorption performance. Herein, CO2 absorption performance is analyzed in a column absorber based on the Eulerian-Eulerian and population balance models. The computational results are verified experimentally under the same conditions and flow regimes can be classified into two regions in terms of the Reynolds numbers of the CO2 gas and absorbent. Dimensionless correlations are developed to predict the CO2 mass transfer coefficient for each region, which can be scaled up for industrial applications of the nanoabsorbents. The input power of the CO2 absorption system is calculated by considering each component. Finally, an operational map of the CO2 absorption and regeneration system, including both CO2 mass transfer coefficient and the input power, is presented. The operational map will be a guideline to optimize operating conditions. Specifically, when the CO2 absorption/regeneration industrial system is optimally designed, energy consumption can be reduced by approximately 40.5% with the CO2 mass transfer coefficient of 0.475 m/s. When SiO2/MeOH nanoabsorbents are used as a working fluid of CO2 absorption system, the operational energy can be additionally saved by 23.2%. In addition, CO2 mass transfer coefficient can be improved by 11.9% using nanoabsorbents for same Reynolds number. It is expected that the energy consumption in the industrial MeOH-based CO2 absorption system will be greatly reduced by using the nanoabsorbents and the present optimization methods.
AB - CO2 physical absorption process is typically operated at a low temperature as low as −40 °C and high pressure. In this study, nanoabsorbents are applied to increase the operating temperature by improving the absorption performance. Herein, CO2 absorption performance is analyzed in a column absorber based on the Eulerian-Eulerian and population balance models. The computational results are verified experimentally under the same conditions and flow regimes can be classified into two regions in terms of the Reynolds numbers of the CO2 gas and absorbent. Dimensionless correlations are developed to predict the CO2 mass transfer coefficient for each region, which can be scaled up for industrial applications of the nanoabsorbents. The input power of the CO2 absorption system is calculated by considering each component. Finally, an operational map of the CO2 absorption and regeneration system, including both CO2 mass transfer coefficient and the input power, is presented. The operational map will be a guideline to optimize operating conditions. Specifically, when the CO2 absorption/regeneration industrial system is optimally designed, energy consumption can be reduced by approximately 40.5% with the CO2 mass transfer coefficient of 0.475 m/s. When SiO2/MeOH nanoabsorbents are used as a working fluid of CO2 absorption system, the operational energy can be additionally saved by 23.2%. In addition, CO2 mass transfer coefficient can be improved by 11.9% using nanoabsorbents for same Reynolds number. It is expected that the energy consumption in the industrial MeOH-based CO2 absorption system will be greatly reduced by using the nanoabsorbents and the present optimization methods.
KW - CO absorption patterns
KW - Energy efficiency
KW - Nanoabsorbents
KW - Operational map
KW - System optimization
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U2 - 10.1016/j.jclepro.2020.125153
DO - 10.1016/j.jclepro.2020.125153
M3 - Article
AN - SCOPUS:85097393570
VL - 289
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
SN - 0959-6526
M1 - 125153
ER -