Dynamic Modeling Assessment of CO 2 Capture Process Using Aqueous Ammonia

Simion Dragan, Hannelore Lisei, Flavia-Maria Ilea, Alexandru-Constantin Bozonc and Ana-Maria Cormos ()
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Simion Dragan: Faculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, Arany Janos 11, RO-400028 Cluj-Napoca, Romania
Hannelore Lisei: Faculty of Mathematics and Computer Science, Babeş-Bolyai University, Kogalniceanu 1, RO-400084 Cluj-Napoca, Romania
Flavia-Maria Ilea: Faculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, Arany Janos 11, RO-400028 Cluj-Napoca, Romania
Alexandru-Constantin Bozonc: Faculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, Arany Janos 11, RO-400028 Cluj-Napoca, Romania
Ana-Maria Cormos: Faculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, Arany Janos 11, RO-400028 Cluj-Napoca, Romania

Energies, 2023, vol. 16, issue 11, 1-22

Abstract: In the pursuit of addressing climate change and achieving sustainable development, this study presents a comprehensive and intricate mathematical model that provides valuable insights into the process of carbon dioxide capture using ammonia aqueous solutions as solvents. The ability of the model to accurately describe the process under consideration is supported by the validation results. Specifically, the validation process involves the examination of four parameters over the height of the absorption column. The results demonstrate a strong correlation as the model predicted profiles are in close agreement with experimental values, with an error coefficient exceeding R = 0.91. When subjecting the system to a 25% variation in flue gas inflow, the carbon capture rate exhibits a significant fluctuation (7–10%) for both increasing and decreasing cases. In addition, the validated model is scaled-up to simulate the industrial-scale ammonia-based absorption process of carbon dioxide. The simulation incorporates a column with intercooling after each layer of packing. The results indicate that by minimizing the temperature within the column, the concentration of ammonia in the clean gases obtained at the top remains below 10 ppm, while the capture rate increases up to 94%. Furthermore, the analysis of a predetermined scenario reveals that the model can effectively replicate the behavior of the system under various conditions. This finding highlights its potential utility for future applications, including process optimization and the implementation of control techniques aimed at mitigating the above-mentioned drawbacks, such as solvent loss due to vaporization.

Keywords: absorption; ammonia; carbon capture; dynamic modeling; gas-liquid process (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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