Dynamic modeling and absorption capacity assessment of CO2 capture process

Abstract One of the most promising carbon dioxide capture technology is based on chemical gas–liquid absorption using alkanolamine solutions. In order to optimize the operating conditions of absorption–desorption cycle, the development of a detailed mathematical model is necessary. Several mass transfer and hydraulic correlation models are published in the literature, but study of predictive capacity for absorption process is required. The aims of this work are to check the mass transfer and hydraulic correlation models predictive capacity and to investigate the dynamic behavior and absorption performance of four different type alkanolamine. The study shows that the implemented mathematical model reveals a good quality prediction of the absorption process for all alkanolamines. The analysis of simulation results highlight that the mass transfer correlation model proposed by Wang et al. predicts well the effective mass transfer area and the mass transfer coefficient correlation. Model proposed by Billet and Schultes predicts well in case of MEA and DEA. And correlation model proposed by Rocha et al., predicts well in case of AMP and MDEA. The comparison of three hold up models show that the model proposed by Bravo et al. is capable to predict well this parameter in a wide column loading range.

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