Modeling of CO₂ absorbtion by amino acid salts blended with amine solutions

ABSTRACT

In this work, the goal is modeling of carbon dioxide loading capacities by exploiting artificial neural network model in two applicable amino acid salt solutions blended with amine solutions as an additive in wide ranges of temperature and pressure. In this regard a group of 740 experimental data points for CO₂ loading capacity has been collected from recent literature work. Results of a developed network show the good capability to predict CO₂ loading capacity in solutions with Average Relative Deviation equal to 3.8608, Mean Square Error value of 0.0045 and correlation coefficient equal to 0.9976.

KEYWORDS:

• amine solution
• amino acid
• artificial neural network
• carbon dioxide
• solubility prediction