Particle-Resolved Computational Fluid Dynamics as the Basis for Thermal Process Intensification of Fixed-Bed Reactors on Multiple Scales
Process intensification of catalytic fixed-bed reactors is of vital interest and can be conducted on different length scales, ranging from the molecular scale to the pellet scale to the plant scale. Particle-resolved computational fluid dynamics (CFD) is used to characterize different reactor design...
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MDPI AG
2021-05-01
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Online Access: | https://www.mdpi.com/1996-1073/14/10/2913 |
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author | Nico Jurtz Urvashi Srivastava Alireza Attari Moghaddam Matthias Kraume |
author_facet | Nico Jurtz Urvashi Srivastava Alireza Attari Moghaddam Matthias Kraume |
author_sort | Nico Jurtz |
collection | DOAJ |
description | Process intensification of catalytic fixed-bed reactors is of vital interest and can be conducted on different length scales, ranging from the molecular scale to the pellet scale to the plant scale. Particle-resolved computational fluid dynamics (CFD) is used to characterize different reactor designs regarding optimized heat transport characteristics on the pellet scale. Packings of cylinders, Raschig rings, four-hole cylinders, and spheres were investigated regarding their impact on bed morphology, fluid dynamics, and heat transport, whereby for the latter particle shape, the influence of macroscopic wall structures on the radial heat transport was also studied. Key performance indicators such as the global heat transfer coefficient and the specific pressure drop were evaluated to compare the thermal performance of the different designs. For plant-scale intensification, effective transport parameters that are needed for simplified pseudo-homogeneous two-dimensional plug flow models were determined from the CFD results, and the accuracy of the simplified modeling approach was judged. |
first_indexed | 2024-03-10T11:19:26Z |
format | Article |
id | doaj.art-c64bc937baf1450883358e516cce0568 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T11:19:26Z |
publishDate | 2021-05-01 |
publisher | MDPI AG |
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series | Energies |
spelling | doaj.art-c64bc937baf1450883358e516cce05682023-11-21T20:13:23ZengMDPI AGEnergies1996-10732021-05-011410291310.3390/en14102913Particle-Resolved Computational Fluid Dynamics as the Basis for Thermal Process Intensification of Fixed-Bed Reactors on Multiple ScalesNico Jurtz0Urvashi Srivastava1Alireza Attari Moghaddam2Matthias Kraume3Chemical & Process Engineering, Technische Universität Berlin, Ackerstr. 76, 13355 Berlin, GermanyClariant Corporation, BU Catalysts, 1600 West Hill Street, Louisville, KY 40210, USAClariant Produkte (Deutschland) GmbH, Arabellastr. 4a, 81925 Munich, GermanyChemical & Process Engineering, Technische Universität Berlin, Ackerstr. 76, 13355 Berlin, GermanyProcess intensification of catalytic fixed-bed reactors is of vital interest and can be conducted on different length scales, ranging from the molecular scale to the pellet scale to the plant scale. Particle-resolved computational fluid dynamics (CFD) is used to characterize different reactor designs regarding optimized heat transport characteristics on the pellet scale. Packings of cylinders, Raschig rings, four-hole cylinders, and spheres were investigated regarding their impact on bed morphology, fluid dynamics, and heat transport, whereby for the latter particle shape, the influence of macroscopic wall structures on the radial heat transport was also studied. Key performance indicators such as the global heat transfer coefficient and the specific pressure drop were evaluated to compare the thermal performance of the different designs. For plant-scale intensification, effective transport parameters that are needed for simplified pseudo-homogeneous two-dimensional plug flow models were determined from the CFD results, and the accuracy of the simplified modeling approach was judged.https://www.mdpi.com/1996-1073/14/10/2913fixed-bed reactorwall structurescomplex particle shapesprocess intensificationheat transfer |
spellingShingle | Nico Jurtz Urvashi Srivastava Alireza Attari Moghaddam Matthias Kraume Particle-Resolved Computational Fluid Dynamics as the Basis for Thermal Process Intensification of Fixed-Bed Reactors on Multiple Scales Energies fixed-bed reactor wall structures complex particle shapes process intensification heat transfer |
title | Particle-Resolved Computational Fluid Dynamics as the Basis for Thermal Process Intensification of Fixed-Bed Reactors on Multiple Scales |
title_full | Particle-Resolved Computational Fluid Dynamics as the Basis for Thermal Process Intensification of Fixed-Bed Reactors on Multiple Scales |
title_fullStr | Particle-Resolved Computational Fluid Dynamics as the Basis for Thermal Process Intensification of Fixed-Bed Reactors on Multiple Scales |
title_full_unstemmed | Particle-Resolved Computational Fluid Dynamics as the Basis for Thermal Process Intensification of Fixed-Bed Reactors on Multiple Scales |
title_short | Particle-Resolved Computational Fluid Dynamics as the Basis for Thermal Process Intensification of Fixed-Bed Reactors on Multiple Scales |
title_sort | particle resolved computational fluid dynamics as the basis for thermal process intensification of fixed bed reactors on multiple scales |
topic | fixed-bed reactor wall structures complex particle shapes process intensification heat transfer |
url | https://www.mdpi.com/1996-1073/14/10/2913 |
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