Vapour-Liquid Equilibrium Prediction of Carbon Dioxide in an Aqueous Alkanolamine Solution Using Deterministic and Stochastic Algorithms
Djaballah, M.L.
Kabouche, A.
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How to Cite

Djaballah M., Kabouche A., 2015, Vapour-Liquid Equilibrium Prediction of Carbon Dioxide in an Aqueous Alkanolamine Solution Using Deterministic and Stochastic Algorithms, Chemical Engineering Transactions, 43, 1837-1842.
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Abstract

Carbon dioxide capture by reactive absorption with aqueous alkanolamines has a great importance in reducing CO2 emissions. The development or the choice of thermodynamic models for (CO2 + H2O + alkanolamine) systems presents some specific difficulties. In this work PITZER model have used to correlate and predict the vapour-liquid equilibrium of CO2 in aqueous monoethanolamine (MEA) solutions, interaction parameters were calculated by using simplex (deterministic algorithm) and genetic algorithms (stochastic algorithm). The solubility of CO2 in aqueous solutions of 15, 30, 45 and 60 mass % of MEA has been considered over several temperatures and CO2 partial pressures. The predicted results of vapour-liquid phase equilibrium have been found to be in good agreement with the experimental measurements.
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