Modeling and Optimization of Carbon Dioxide Absorption in Deep Eutectic Solvent
DOI:
https://doi.org/10.24237/djes.2024.18214Keywords:
Absorption, CO2 capture, Deep eutectic solvents, Choline chloride, Response surface methodologyAbstract
Reducing carbon dioxide (CO2) emissions into the atmosphere is the most crucial objective since this results in higher temperatures, pollution, health problems and acid rain. This research focuses on the modeling and optimization of CO2 capture from flue gas by deep eutectic solvent (DES) synthesized from choline chloride/monoethanolamine (ChCl/MEA) using statistical design of experiments (DoE). The synthesized DES and the raw materials were characterized for the presence of functional groups using Fourier transform infrared (FTIR) spectrometry. The impact of three process parameters, operating temperature (25–45°C), molar ratio of ChCl to MEA (0.1–0.5) and inlet CO2 concentration (5–20%) on the CO2 absorption loading performance were investigated. A model to correlate the impact of process parameters on CO2 absorption loading was constructed using the response surface methodology (RSM) in conjunction with central composite design (CCD). The analysis of variance (ANOVA) validated the quadratic model's high significance at a 95% confidence interval to identify the optimal process parameters for the absorption performance. Furthermore, CO2 absorption loading was computed according to the experimental data; the optimal process parameters to achieve the maximum CO2 absorption loading at 8.647 mole CO2/kg solvent at a molar ratio of ChCl to MEA 0.1, an inlet CO2 concentration of 20% and an operating temperature of 32°C
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