Liquid mean residence time (MRT) in rotating packed bed (RPB) by empirical correlation and residence time distribution (RTD) method using computational fluid dynamics (CFD) simulation
Rotating packed bed (RPB) belongs to a HIGee technology, a process intensification device that can provide better mass transfer rate due to the generation of hyper-gravity under the influence of centrifugal force. While determining the efficiency of the RPB, the MRT of the liquid plays a vital role....
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2023/04/matecconf_cgchdrc2022_01018.pdf |
| _version_ | 1797843669966913536 |
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| author | Zahir Abdul Kumar Perumal Saptoro Agus Tiong Angnes Ngieng Tze Hameed Samreen Shah Milinkumar |
| author_facet | Zahir Abdul Kumar Perumal Saptoro Agus Tiong Angnes Ngieng Tze Hameed Samreen Shah Milinkumar |
| author_sort | Zahir Abdul |
| collection | DOAJ |
| description | Rotating packed bed (RPB) belongs to a HIGee technology, a process intensification device that can provide better mass transfer rate due to the generation of hyper-gravity under the influence of centrifugal force. While determining the efficiency of the RPB, the MRT of the liquid plays a vital role. The MRT of the RPB is very small and can be tuned in accordance with the mass transfer rate of the solvent to achieve the required outlet concentration of the absorbed gas. There exist two methods, i.e., empirical correlation and the residence time distribution (RTD) method. The applicability of both methods still needs to be investigated for better prediction of MRT in RPB. The current study compares the MRT of the two of the most widely employed techniques, i.e., MRT by empirical correlation and the RTD approach using the Computational Fluid Dynamics (CFD). The difference between the MRT by both methods lies between 30-38%. The results show that the RTD better predicts the MRT in the RPB as compared to the Burns empirical correlation. |
| first_indexed | 2024-04-09T17:09:07Z |
| format | Article |
| id | doaj.art-d47fadca108d464d88184cb1427943c3 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-04-09T17:09:07Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-d47fadca108d464d88184cb1427943c32023-04-20T08:28:09ZengEDP SciencesMATEC Web of Conferences2261-236X2023-01-013770101810.1051/matecconf/202337701018matecconf_cgchdrc2022_01018Liquid mean residence time (MRT) in rotating packed bed (RPB) by empirical correlation and residence time distribution (RTD) method using computational fluid dynamics (CFD) simulationZahir Abdul0Kumar Perumal1Saptoro Agus2Tiong Angnes Ngieng Tze3Hameed Samreen4Shah Milinkumar5Department of Chemical and Energy Engineering, Curtin University MalaysiaDepartment of Chemical and Energy Engineering, Curtin University MalaysiaDepartment of Chemical and Energy Engineering, Curtin University MalaysiaDepartment of Chemical and Energy Engineering, Curtin University MalaysiaDepartment of Chemical, Polymer & Composite Material Engineering, University of Engineering and Technology, New CampusWestern Australia School of Mines: Mineral, Energy and Chemical Engineering, Curtin UniversityRotating packed bed (RPB) belongs to a HIGee technology, a process intensification device that can provide better mass transfer rate due to the generation of hyper-gravity under the influence of centrifugal force. While determining the efficiency of the RPB, the MRT of the liquid plays a vital role. The MRT of the RPB is very small and can be tuned in accordance with the mass transfer rate of the solvent to achieve the required outlet concentration of the absorbed gas. There exist two methods, i.e., empirical correlation and the residence time distribution (RTD) method. The applicability of both methods still needs to be investigated for better prediction of MRT in RPB. The current study compares the MRT of the two of the most widely employed techniques, i.e., MRT by empirical correlation and the RTD approach using the Computational Fluid Dynamics (CFD). The difference between the MRT by both methods lies between 30-38%. The results show that the RTD better predicts the MRT in the RPB as compared to the Burns empirical correlation.https://www.matec-conferences.org/articles/matecconf/pdf/2023/04/matecconf_cgchdrc2022_01018.pdf |
| spellingShingle | Zahir Abdul Kumar Perumal Saptoro Agus Tiong Angnes Ngieng Tze Hameed Samreen Shah Milinkumar Liquid mean residence time (MRT) in rotating packed bed (RPB) by empirical correlation and residence time distribution (RTD) method using computational fluid dynamics (CFD) simulation MATEC Web of Conferences |
| title | Liquid mean residence time (MRT) in rotating packed bed (RPB) by empirical correlation and residence time distribution (RTD) method using computational fluid dynamics (CFD) simulation |
| title_full | Liquid mean residence time (MRT) in rotating packed bed (RPB) by empirical correlation and residence time distribution (RTD) method using computational fluid dynamics (CFD) simulation |
| title_fullStr | Liquid mean residence time (MRT) in rotating packed bed (RPB) by empirical correlation and residence time distribution (RTD) method using computational fluid dynamics (CFD) simulation |
| title_full_unstemmed | Liquid mean residence time (MRT) in rotating packed bed (RPB) by empirical correlation and residence time distribution (RTD) method using computational fluid dynamics (CFD) simulation |
| title_short | Liquid mean residence time (MRT) in rotating packed bed (RPB) by empirical correlation and residence time distribution (RTD) method using computational fluid dynamics (CFD) simulation |
| title_sort | liquid mean residence time mrt in rotating packed bed rpb by empirical correlation and residence time distribution rtd method using computational fluid dynamics cfd simulation |
| url | https://www.matec-conferences.org/articles/matecconf/pdf/2023/04/matecconf_cgchdrc2022_01018.pdf |
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