Modeling and Comparison of Optimized Isotherm Models for H2, N2, CO, CH4 and CO2 Adsorption Using Cuckoo Search Optimization Algorithm

Document Type : Original Article


1 Faculty of Engineering Technologies, Amol University of Special Modern Technologies, Amol, Iran

2 Department of Electrical Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran

3 Department of Aerospace Engineering, Amirkabir University of Technology, Tehran, Iran


In this study, modeling of hydrogen, nitrogen, carbon monoxide, methane and carbon dioxide sorption on UTSA-16 framework extrudates in the pressure swing adsorption process was carried out. The pure gas adsorption of these gases at the pressure range (0 to 80) bars at (298, 313, and 338) K have also been measured in a fixed bed. Langmuir, Toth, Sips, UNILAN, Virial and Dubinin-Astakhov adsorption models were tested on adsorption data to estimate the sorption capacity, intensity and energy. Cuckoo search optimization algorithm was used for solving the problem to estimate the parameters of adsorption models. The results show that Langmuir isotherm provided the best fit to the equilibrium data with a square of residuals (Fobj) of 0.022, 0.2670, 0.4840, 0.1813 and 1.9619 for hydrogen, nitrogen, carbon monoxide, methane and carbon dioxide respectively. There was a good agreement between the predicted theoretical breakthrough curves and the experimental results with Langmuir, Dubinin-Astakhov, Sips, Toth and UNILAN, respectively.  


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