Mass transfer investigation and operational sensitivity analysis of aminebased industrial CO2 capture plant

doi:10.1016/j.cjche.2018.07.014

摘要/Abstract

摘要： In this article, the industrial process of CO₂ capture using monoethanolamine as an aqueous solvent was probed carefully from the mass transfer viewpoint. The simulation of this process was done using Rate-Base model, based on two-film theory. The results were validated against real plant data. Compared to the operational unit, the error of calculating absorption percentage and CO₂ loading was estimated around 2%. The liquid temperature profiles calculated by the model agree well with the real temperature along the absorption tower, emphasizing the accuracy of this model. Operational sensitivity analysis of absorption tower was also done with the aim of determining sensitive parameters for the optimized design of absorption tower and optimized operational conditions. Hence, the sensitivity analysis was done for the flow rate of gas, the flow rate of solvent, flue gas temperature, inlet solvent temperature, CO₂ concentration in the flue gas, loading of inlet solvent, and MEA concentration in the solvent. CO₂ absorption percentage, the profile of loading, liquid temperature profile and finally profile of CO₂ mole fraction in gas phase along the absorption tower were studied. To elaborate mass transfer phenomena, enhancement factor, interfacial area, molar flux and liquid hold up were probed. The results show that regarding the CO₂ absorption, the most important parameter was the gas flow rate. Comparing liquid temperature profiles showed that the most important parameter affecting the temperature of the rich solvent was MEA concentration.

关键词: Carbon dioxide, Monoethanolamine, Rate-base model, Enhancement factor, Sensitivity analysis

Abstract: In this article, the industrial process of CO₂ capture using monoethanolamine as an aqueous solvent was probed carefully from the mass transfer viewpoint. The simulation of this process was done using Rate-Base model, based on two-film theory. The results were validated against real plant data. Compared to the operational unit, the error of calculating absorption percentage and CO₂ loading was estimated around 2%. The liquid temperature profiles calculated by the model agree well with the real temperature along the absorption tower, emphasizing the accuracy of this model. Operational sensitivity analysis of absorption tower was also done with the aim of determining sensitive parameters for the optimized design of absorption tower and optimized operational conditions. Hence, the sensitivity analysis was done for the flow rate of gas, the flow rate of solvent, flue gas temperature, inlet solvent temperature, CO₂ concentration in the flue gas, loading of inlet solvent, and MEA concentration in the solvent. CO₂ absorption percentage, the profile of loading, liquid temperature profile and finally profile of CO₂ mole fraction in gas phase along the absorption tower were studied. To elaborate mass transfer phenomena, enhancement factor, interfacial area, molar flux and liquid hold up were probed. The results show that regarding the CO₂ absorption, the most important parameter was the gas flow rate. Comparing liquid temperature profiles showed that the most important parameter affecting the temperature of the rich solvent was MEA concentration.

Key words: Carbon dioxide, Monoethanolamine, Rate-base model, Enhancement factor, Sensitivity analysis

Abbas Hemmati, Hamed Rashidi. Mass transfer investigation and operational sensitivity analysis of aminebased industrial CO₂ capture plant[J]. Chinese Journal of Chemical Engineering, 2019, 27(3): 534-543.

Abbas Hemmati, Hamed Rashidi. Mass transfer investigation and operational sensitivity analysis of aminebased industrial CO₂ capture plant[J]. Chin.J.Chem.Eng., 2019, 27(3): 534-543.

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Mass transfer investigation and operational sensitivity analysis of aminebased industrial CO₂ capture plant

Mass transfer investigation and operational sensitivity analysis of aminebased industrial CO₂ capture plant

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