مسعود مفرحی

In this research, the performance of CO2 absorption by using a new 1DMA2P solution and its activator was evaluated for the post-combustion process in two sections: thermodynamics and mass transfer. In the thermodynamic section, measurements of the new experimental data were done on the CO2 solubility in 1DMA2P solution, CO2 solubility in 1DMA2P solution with its activator (MEA), as well as its density and viscosity data at different conditions of temperature, amine concentration and CO2 partial pressure. Also, to investigate the absorption capacity of 1DMA2P solution, the effects of various activators such as MEA and DEA as well as AMP in combination with 1DMA2P solution were experimentally investigated. In order to predict the experimental data of solubility, the thermodynamic models based on the activity coefficient models of electrolyte solutions such as Kent-Eisenberg, modified Kent-Eisenberg, Deshmukh-Mather and e-UNIQUAC have been used by using physical and chemical equilibrium. To investigate the simultaneous effect of solubility parameters on the absorption capacity of 1DMA2P solution, a modeling-optimization framework was used based on orthogonal array design and thermodynamic models. In the mass transfer section, an algorithm was developed to investigate the effects of key operating parameters of absorption columns packed with both random and structured packing materials on the performance of mass transfer considering the volumetric overall mass transfer coefficient. Finally, the rate-based modeling, sensitivity analysis, and optimization were performed for CO2 absorption with the 1DMA2P solution in a column packed with random packing. The experimental results of the CO2 solubility by the 1DMA2P showed that the absorption capacity of 1DMA2P increases by increasing the CO2 partial pressure and decreasing the equilibrium temperature at a certain concentration of 1DMA2P. The experimental results of the effect of amine activators on the absorption capacity per