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Nanoclay montmorillonite as an adsorbent for CO 2 capture: Experimental and modeling
Author(s) -
Khajeh Mojtaba,
Ghaemi Ahad
Publication year - 2020
Publication title -
journal of the chinese chemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 45
eISSN - 2192-6549
pISSN - 0009-4536
DOI - 10.1002/jccs.201900150
Subject(s) - adsorption , chemistry , flue gas , freundlich equation , response surface methodology , central composite design , montmorillonite , thermodynamics , langmuir adsorption model , process optimization , absorption (acoustics) , chemical engineering , chromatography , organic chemistry , materials science , composite material , physics , engineering
Today, the tendency to use mineral adsorbents has increased due to its low cost for removal of the flue gas of fossil‐fuel power plants. In this research, the optimization of the CO 2 adsorption process using the sodium‐montmorillonite adsorbent was investigated. The response surface methodology (RSM), combined with central composite design, was used to assess the effects of process variables and their interaction on the response (CO 2 adsorption capacity) to achieve the optimal conditions. According to the analysis of variance, temperature and pressure parameters are the variables that affect the CO 2 adsorption capacity. Moreover, one semi‐empirical correlation was established to calculate the optimum operating conditions of the CO 2 adsorption process. The optimal variables of the process obtained from numerical optimization are 25°C and 9 bar for temperature and pressure, respectively. Based on the optimal conditions, the adsorption capacity of 100.67 mg/g was achieved. Furthermore, additional experiments were performed to examine the isotherm, kinetic, and thermodynamic models of absorption. Kinetic studies showed that adsorption was in accordance with the second‐order reaction. Equilibrium data were analyzed using Langmuir, Freundlich, Hill, and D‐R isotherm models at different temperatures. The D‐R isotherm provides the best description for the adsorption experimental data.