Abstract
This research aims to study the performance of MDEA–PZ–TMS blends solution in CO 2 reactive absorption via a stirrer reactor. Two modeling approaches of the response surface methodology (RSM) and equilibrium modeling using the modified Pitzer model were employed to predict process behavior at the equilibrium state. Five independent variables of temperature, pressure, MDEA, PZ, and TMS concentrations were considered in the ranges of 20–75 °C, 2–8 bar, and 1–5wt%, respectively. Based on the RSM modeling, both CO 2 loading and absorption percentage were simultaneously maximized with the degree of importance of 1 and 5, respectively, at operating conditions of 3.5 bar, 32.5 °C, 2wt% TMS, 4wt% MDEA, and 4wt% PZ concentrations. In the equilibrium modeling, the equilibrium CO 2 loading was predicted with an average relative error of 4.85% for all empirical data. The present modeling can be applied to various CO 2 absorption processes using different electrolyte solutions. • The CO 2 reactive absorption process is examined by MDEA-PZ-TMS blends solution. • The process is modeled by response surface methodology and equilibrium modeling. • Pressure, temperature, MDEA, PZ, and TMS concentrations are optimized by RSM. • Equilibrium modeling error is less than 5% makes suitable for different solvents. • The concentrations of all existing species in the electrolyte system are predicted.
Published Version
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