Thermodynamics of CO2-MDEA using eNRTL with Differential Evolution Algorithm

Carbon dioxide (CO2) capture by absorption with aqueous alkanolamines is considered as an important technology to reduce CO2 emissions and to help alleviate global climate change. To understand more the thermodynamics of some of the CO2-Amines, the NRTL electrolyte model has been used to simulate the behaviour of carbon dioxide absorption by some amines. To determine NRTL interaction parameters of the model, VLE, heat capacity and excess enthalpy data have been used. In this study, carbon dioxide, water and Methyl DiEthanolAmine (MDEA) ternary system are used to calculate eNRTL (electrolyte Non-Ramdom Two Liquid) interaction parameters, and the system was modelled using VLE data available in the literature. Differential evolution algorithm (DE), an evolutionary computational technique, has been used to estimate NRTL parameters model to predict the VLE of CO2 with MDEA. Differential Evolution algorithm (DE) have been used to compare it with annealing (SA) and deterministic technique like Levenberg–Marquardt (LM) using one set of experimental data for MDEA-H2O system. Its standard deviation is lower than those of SA and LM algorithms when used to regress the eNRTL binary interactions parameters for MDEA-H2O.