Dynamic Modeling Assessment of CO<sub>2</sub> Capture Process Using Aqueous Ammonia
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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/11/4337 |
| _version_ | 1797597664368394240 |
|---|---|
| author | Simion Dragan Hannelore Lisei Flavia-Maria Ilea Alexandru-Constantin Bozonc Ana-Maria Cormos |
| author_facet | Simion Dragan Hannelore Lisei Flavia-Maria Ilea Alexandru-Constantin Bozonc Ana-Maria Cormos |
| author_sort | Simion Dragan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T03:08:45Z |
| format | Article |
| id | doaj.art-953011ad4ca747879efe4cc59079bbd3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T03:08:45Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-953011ad4ca747879efe4cc59079bbd32023-11-18T07:47:29ZengMDPI AGEnergies1996-10732023-05-011611433710.3390/en16114337Dynamic Modeling Assessment of CO<sub>2</sub> Capture Process Using Aqueous AmmoniaSimion Dragan0Hannelore Lisei1Flavia-Maria Ilea2Alexandru-Constantin Bozonc3Ana-Maria Cormos4Faculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, Arany Janos 11, RO-400028 Cluj-Napoca, RomaniaFaculty of Mathematics and Computer Science, Babeş-Bolyai University, Kogalniceanu 1, RO-400084 Cluj-Napoca, RomaniaFaculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, Arany Janos 11, RO-400028 Cluj-Napoca, RomaniaFaculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, Arany Janos 11, RO-400028 Cluj-Napoca, RomaniaFaculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, Arany Janos 11, RO-400028 Cluj-Napoca, RomaniaIn 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.https://www.mdpi.com/1996-1073/16/11/4337absorptionammoniacarbon capturedynamic modelinggas-liquid process |
| spellingShingle | Simion Dragan Hannelore Lisei Flavia-Maria Ilea Alexandru-Constantin Bozonc Ana-Maria Cormos Dynamic Modeling Assessment of CO<sub>2</sub> Capture Process Using Aqueous Ammonia Energies absorption ammonia carbon capture dynamic modeling gas-liquid process |
| title | Dynamic Modeling Assessment of CO<sub>2</sub> Capture Process Using Aqueous Ammonia |
| title_full | Dynamic Modeling Assessment of CO<sub>2</sub> Capture Process Using Aqueous Ammonia |
| title_fullStr | Dynamic Modeling Assessment of CO<sub>2</sub> Capture Process Using Aqueous Ammonia |
| title_full_unstemmed | Dynamic Modeling Assessment of CO<sub>2</sub> Capture Process Using Aqueous Ammonia |
| title_short | Dynamic Modeling Assessment of CO<sub>2</sub> Capture Process Using Aqueous Ammonia |
| title_sort | dynamic modeling assessment of co sub 2 sub capture process using aqueous ammonia |
| topic | absorption ammonia carbon capture dynamic modeling gas-liquid process |
| url | https://www.mdpi.com/1996-1073/16/11/4337 |
| work_keys_str_mv | AT simiondragan dynamicmodelingassessmentofcosub2subcaptureprocessusingaqueousammonia AT hannelorelisei dynamicmodelingassessmentofcosub2subcaptureprocessusingaqueousammonia AT flaviamariailea dynamicmodelingassessmentofcosub2subcaptureprocessusingaqueousammonia AT alexandruconstantinbozonc dynamicmodelingassessmentofcosub2subcaptureprocessusingaqueousammonia AT anamariacormos dynamicmodelingassessmentofcosub2subcaptureprocessusingaqueousammonia |