Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X
The goal of this study is to develop a dynamic model for a Carbon Capture (CC) process that can be integrated with a water electrolysis facility. The possibility of operating the post-combustion CC plant dynamically is investigated. The final model successfully tracks the parallel hydrogen productio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/20/9574 |
| _version_ | 1797515336933703680 |
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| author | Mahmoud Mostafa Christopher Varela Meik B. Franke Edwin Zondervan |
| author_facet | Mahmoud Mostafa Christopher Varela Meik B. Franke Edwin Zondervan |
| author_sort | Mahmoud Mostafa |
| collection | DOAJ |
| description | The goal of this study is to develop a dynamic model for a Carbon Capture (CC) process that can be integrated with a water electrolysis facility. The possibility of operating the post-combustion CC plant dynamically is investigated. The final model successfully tracks the parallel hydrogen production, providing the stoichiometric required CO<sub>2</sub> stream for the subsequent methanol reactor. A dynamic model is used to configure controllers and to test the unit performance and stream conditions for various set points. Through the transient operation, the required feed gas is provided while optimizing the solvent and energy requirements. It is found that the slowest acting stage is the reboiler with a time constant of 3.8 h. Other process variables stabilize much quicker, requiring only a few minutes to reach steady-state conditions. The hydrogen-tracking scenario shows that the carbon capture plant can successfully operate under varying conditions with a maximum CO<sub>2</sub> output increase of 7% of the minimum flowrate in the representative 24 h simulation time. The output CO<sub>2</sub> stream is maintained at the desired >98% purity, 25 °C temperature, and 1.85 bar pressure, which allows to successfully perform hydrogen tracking operations. |
| first_indexed | 2024-03-10T06:44:04Z |
| format | Article |
| id | doaj.art-1bc980e0668344dfae25d73c20dbeaa3 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T06:44:04Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1bc980e0668344dfae25d73c20dbeaa32023-11-22T17:20:49ZengMDPI AGApplied Sciences2076-34172021-10-011120957410.3390/app11209574Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-XMahmoud Mostafa0Christopher Varela1Meik B. Franke2Edwin Zondervan3Laboratory of Process Systems Engineering, University of Bremen, Leobener Str. 6, 28359 Bremen, GermanyLaboratory of Process Systems Engineering, University of Bremen, Leobener Str. 6, 28359 Bremen, GermanyDepartment of Chemical Engineering, Twente University, 7522 NB Enschede, The NetherlandsDepartment of Chemical Engineering, Twente University, 7522 NB Enschede, The NetherlandsThe goal of this study is to develop a dynamic model for a Carbon Capture (CC) process that can be integrated with a water electrolysis facility. The possibility of operating the post-combustion CC plant dynamically is investigated. The final model successfully tracks the parallel hydrogen production, providing the stoichiometric required CO<sub>2</sub> stream for the subsequent methanol reactor. A dynamic model is used to configure controllers and to test the unit performance and stream conditions for various set points. Through the transient operation, the required feed gas is provided while optimizing the solvent and energy requirements. It is found that the slowest acting stage is the reboiler with a time constant of 3.8 h. Other process variables stabilize much quicker, requiring only a few minutes to reach steady-state conditions. The hydrogen-tracking scenario shows that the carbon capture plant can successfully operate under varying conditions with a maximum CO<sub>2</sub> output increase of 7% of the minimum flowrate in the representative 24 h simulation time. The output CO<sub>2</sub> stream is maintained at the desired >98% purity, 25 °C temperature, and 1.85 bar pressure, which allows to successfully perform hydrogen tracking operations.https://www.mdpi.com/2076-3417/11/20/9574Carbon-Captureaminedynamic modelrenewablessimulationAspen Plus<sup>®</sup> |
| spellingShingle | Mahmoud Mostafa Christopher Varela Meik B. Franke Edwin Zondervan Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X Applied Sciences Carbon-Capture amine dynamic model renewables simulation Aspen Plus<sup>®</sup> |
| title | Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X |
| title_full | Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X |
| title_fullStr | Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X |
| title_full_unstemmed | Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X |
| title_short | Dynamic Modeling and Control of a Simulated Carbon Capture Process for Sustainable Power-to-X |
| title_sort | dynamic modeling and control of a simulated carbon capture process for sustainable power to x |
| topic | Carbon-Capture amine dynamic model renewables simulation Aspen Plus<sup>®</sup> |
| url | https://www.mdpi.com/2076-3417/11/20/9574 |
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