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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Main Authors: Shicheng Wang, Chenyi Xu, Wei Liu, Zhichun Liu
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/3/414
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spelling 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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