Amine degradation is the main significant problems in amine-based post-combustion CO2 capture, causes foaming, increase in viscosity, corrosion, fouling as well as environmental issues. Therefore it is very important to develop the most efficient solvent with high thermal and chemical stability. This study investigated thermal degradation of aqueous 30% 2-aminoethylethanolamine (AEEA) using 316 stainless steel cylinders in the presence and absence of CO2 for 4 weeks. The degradation products were identified by gas chromatography mass spectrometry (GC/MS) and liquid chromatography-time-of-flight-mass spectrometry (LC-QTOF/MS). The results showed AEEA is stable in the absence of CO2, while in the presence of CO2 AEEA showed to be very unstable and numbers of degradation products were identified. 1-(2-Hydroxyethyl)-2-imidazolidinone (HEIA) was the most abundance degradation product. A possible mechanism for the thermal degradation of AEEA has been developed to explain the formation of degradation products. In addition, the reaction energy of formation of the most abundance degradation product HEIA was calculated using quantum mechanical calculation.

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A comprehensive model is developed for simulating the rate of corrosion of carbon steel in carbonated aqueous activated MDEA (Methyl-di-ethanolamine) solutions. The model includes VLE (Vapor Liquid Equilibrium) and the electrochemical behavior of amine systems. The VLE model is used to predict the speciation of aqueous carbonated MDEA-PZ solutions and their concentrations, activity coefficients, and transport properties. The electrochemical model simulates partial oxidation and reduction processes on the surface of carbon steel. The model was capable to predict the effect of PZ (piperazine) concentration on the carbon steel corrosion rate, for carbonated solutions of MDEA/PZ blends. The model is executed in a Matlab program that simulates the effect of process operating conditions such as solution temperature, CO 2 loading, solution pH, total amine concentration, and PZ concentration on carbon steel corrosion rates. Results of speciation and corrosion models are in good agreement with the experimental findings.