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Experimental and Computational Multiphase Flow 2021, 3(4): 250-257 https://doi.org/10.1007/s42757-020-0058-2
Research Article | Issue | Published: 07 March 2020

Parameter analysis and wall effect of radiative heat transfer for CFD-DEM simulation in nuclear packed pebble bed

Show Author's Information Hao Wu1( ),  Nan Gui1,  Xingtuan Yang1,  Jiyuan Tu1,2,  Shengyao Jiang1
Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Tsinghua University, Beijing 100084, China
School of Engineering, RMIT University, Melbourne, VIC 3083, Australia
Keywords:
thermal radiation, pebble bed, discrete element method, parameter analysis, wall effect
Cite this article:
Wu H, Gui N, Yang X, et al. Parameter analysis and wall effect of radiative heat transfer for CFD-DEM simulation in nuclear packed pebble bed. Experimental and Computational Multiphase Flow, 2021, 3(4): 250-257. https://doi.org/10.1007/s42757-020-0058-2
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Abstract Full text About this article

In the heat transportation of core of high temperature gas-cooled nuclear reactor (HTGR), radiative heat transfer plays a significant role in the CFD-DEM simulations. The numerical investigation is conducted for parameter analysis and wall effect of the thermal radiation. A cell model is presented to discuss the effects of temperature and pebble size. The radiation effective conductivity is directly proportional to pebble diameter and cube of the temperature. For engineering cases, the emissivity on radiation is linear approximately. In the bulk region without wall effect, the radiative thermal conductivity is inversely proportional to the packing density. The effect of solid conductivity and gas absorption can be neglected for common gases with forced convection. With uniform continuum model and discrete particle simulation, the radiative conductivity is inversely proportional to the pebble sphericity and directly proportional to the integral of the radial distribution and radiation interaction function. And radiation characteristics in wall and near-wall region are different from that of bulk region.


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About this article

Parameter analysis and wall effect of radiative heat transfer for CFD-DEM simulation in nuclear packed pebble bed

Show Author's information Hao Wu1( ), Nan Gui1, Xingtuan Yang1, Jiyuan Tu1,2, Shengyao Jiang1
Institute of Nuclear and New Energy Technology, Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Tsinghua University, Beijing 100084, China
School of Engineering, RMIT University, Melbourne, VIC 3083, Australia

Abstract

In the heat transportation of core of high temperature gas-cooled nuclear reactor (HTGR), radiative heat transfer plays a significant role in the CFD-DEM simulations. The numerical investigation is conducted for parameter analysis and wall effect of the thermal radiation. A cell model is presented to discuss the effects of temperature and pebble size. The radiation effective conductivity is directly proportional to pebble diameter and cube of the temperature. For engineering cases, the emissivity on radiation is linear approximately. In the bulk region without wall effect, the radiative thermal conductivity is inversely proportional to the packing density. The effect of solid conductivity and gas absorption can be neglected for common gases with forced convection. With uniform continuum model and discrete particle simulation, the radiative conductivity is inversely proportional to the pebble sphericity and directly proportional to the integral of the radial distribution and radiation interaction function. And radiation characteristics in wall and near-wall region are different from that of bulk region.

Keywords: thermal radiation, pebble bed, discrete element method, parameter analysis, wall effect

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Publication history
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Acknowledgements

Publication history

Received: 11 October 2019
Accepted: 13 January 2020
Published: 07 March 2020
Issue date: December 2021

Copyright

© Tsinghua University Press 2020

Acknowledgements

The authors are grateful for the support of this research by the China Postdoctoral Science Foundation (Grant No. 2018M640141) and the National Natural Science Foundations of China (Grant Nos. 51406100 and 51576211), the Science Fund for Creative Research Groups of National Natural Science Foundation of China (Grant No. 51321002), the National High-tech R&D Program of China (863 Program, Grant No. 2014AA052701).

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