Numerical Study on Heat Transfer Performance in Packed Bed
Packed beds are widely used in industries and it is of great significance to enhance the heat transfer between gas and solid states inside the bed. In this paper, numerical simulation method is adopted to investigate the heat transfer principle in the bed at particle scale, and to develop the direct...
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doaj-e76b7d7ecd9f4732a95faa07ae59d6f72020-11-24T20:45:17ZengMDPI AGEnergies1996-10732019-01-0112341410.3390/en12030414en12030414Numerical Study on Heat Transfer Performance in Packed BedShicheng Wang0Chenyi Xu1Wei Liu2Zhichun Liu3School of Energy and Power engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Energy and Power engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Energy and Power engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Energy and Power engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaPacked beds are widely used in industries and it is of great significance to enhance the heat transfer between gas and solid states inside the bed. In this paper, numerical simulation method is adopted to investigate the heat transfer principle in the bed at particle scale, and to develop the direct enhanced heat transfer methods in packed beds. The gas is treated as continuous phase and solved by Computational Fluid Dynamics (CFD), while the particles are treated as discrete phase and solved by the Discrete Element Method (DEM); taking entransy dissipation to evaluate the heat transfer process. Considering the overall performance and entransy dissipation, the results show that, compared with the uniform particle size distribution, radial distribution of multiparticle size can effectively improve the heat transfer performance because it optimizes the velocity and temperature field, reduces the equivalent thermal resistance of convection heat transfer process, and the temperature of outlet gas increases significantly, which indicates the heat quality of the gas has been greatly improved. The increase in distribution thickness obviously enhances heat transfer performance without reducing the equivalent thermal resistance in the bed. The result is of great importance for guiding practical engineering applications.https://www.mdpi.com/1996-1073/12/3/414Discrete Element Modelgas–solid flowheat transfer enhancemententransy dissipationnumerical simulationoptimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shicheng Wang Chenyi Xu Wei Liu Zhichun Liu |
spellingShingle |
Shicheng Wang Chenyi Xu Wei Liu Zhichun Liu Numerical Study on Heat Transfer Performance in Packed Bed Energies Discrete Element Model gas–solid flow heat transfer enhancement entransy dissipation numerical simulation optimization |
author_facet |
Shicheng Wang Chenyi Xu Wei Liu Zhichun Liu |
author_sort |
Shicheng Wang |
title |
Numerical Study on Heat Transfer Performance in Packed Bed |
title_short |
Numerical Study on Heat Transfer Performance in Packed Bed |
title_full |
Numerical Study on Heat Transfer Performance in Packed Bed |
title_fullStr |
Numerical Study on Heat Transfer Performance in Packed Bed |
title_full_unstemmed |
Numerical Study on Heat Transfer Performance in Packed Bed |
title_sort |
numerical study on heat transfer performance in packed bed |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2019-01-01 |
description |
Packed beds are widely used in industries and it is of great significance to enhance the heat transfer between gas and solid states inside the bed. In this paper, numerical simulation method is adopted to investigate the heat transfer principle in the bed at particle scale, and to develop the direct enhanced heat transfer methods in packed beds. The gas is treated as continuous phase and solved by Computational Fluid Dynamics (CFD), while the particles are treated as discrete phase and solved by the Discrete Element Method (DEM); taking entransy dissipation to evaluate the heat transfer process. Considering the overall performance and entransy dissipation, the results show that, compared with the uniform particle size distribution, radial distribution of multiparticle size can effectively improve the heat transfer performance because it optimizes the velocity and temperature field, reduces the equivalent thermal resistance of convection heat transfer process, and the temperature of outlet gas increases significantly, which indicates the heat quality of the gas has been greatly improved. The increase in distribution thickness obviously enhances heat transfer performance without reducing the equivalent thermal resistance in the bed. The result is of great importance for guiding practical engineering applications. |
topic |
Discrete Element Model gas–solid flow heat transfer enhancement entransy dissipation numerical simulation optimization |
url |
https://www.mdpi.com/1996-1073/12/3/414 |
work_keys_str_mv |
AT shichengwang numericalstudyonheattransferperformanceinpackedbed AT chenyixu numericalstudyonheattransferperformanceinpackedbed AT weiliu numericalstudyonheattransferperformanceinpackedbed AT zhichunliu numericalstudyonheattransferperformanceinpackedbed |
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1716814778925580288 |