Journal de thermodynamique et de catalyse
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Thermodynamics of CO2-MDEA using eNRTL with Differential Evolution Algorithm

Jacques Vivier, Saeid Kamalpour and Amine Mehablia

Carbon dioxide capture by absorption with aqueous alkanolamines is considered 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 behavior of carbon dioxide absorption by MDEA. VLE, heat capacity and excess enthalpy data have been used to regress the interactions parameters of the model by minimizing the objective function using differential evolution algorithm (DE), an evolutionary computational technique. Differential Evolution algorithm (DE) is compared with other techniques such as annealing (SA) and Levenberg– Marquardt (LM) using one set of experimental data for MDEA-H2O system. The results show that its standard deviations are lower than those of SA and LM algorithms.