Effect of scale on the modeling of radiation heat transfer in packed pebble beds

Hao, W.; Gui, Nan; Yang, Xingtuan; Tu, Jiyuan; Jiang, Shengyao

doi:10.1016/j.ijheatmasstransfer.2016.05.090

Cited by 79 publications

(13 citation statements)

References 26 publications

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“… Fundamentals of radiation modeling in the pebble beds. Our group has also proposed a series of numerical radiative models, including the short range model, long range model, microscopic model, the sub-cell model, semi-empirical model, and smoothed void fraction method, coupled with CFD-DEM simulation framework to study the effective thermal conductivity coefficient of the packed pebble bed (Wu et al, 2016(Wu et al, , 2017(Wu et al, , 2018a(Wu et al, , 2018b(Wu et al, , 2018c.…”

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confidence: 99%

A review of pebble flow study for pebble bed high temperature gas-cooled reactor

Jiang

Yang

et al. 2019

Exp. Comput. Multiph. Flow

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The pebble bed high temperature gas-cooled reactor is a promising generation-IV reactor, which uses large fuel pebbles and helium gas as coolant. The pebble bed flow is a fundamental issue for both academic investigation and engineering application, e.g., reactor core design and safety analysis. This work performed a review of recent progress on pebble flow study, focusing on the important issues like pebble flow, gas phase hydrodynamics, and inter-phase heat transfer (thermal hydraulics). Our group's researches on pebble flow have also been reviewed through the aspects of phenomenological observation and measurement, voidage distribution, geometric and parameter optimization, pebble flow mechanisms, flow regime categorization, and fundamentals of modelings of pebble flow and radiation. Finally, the major problems or possible directions of research are concluded which would be some of our focuses on the pebble bed flow study.

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confidence: 99%

A review of pebble flow study for pebble bed high temperature gas-cooled reactor

Jiang

Yang

et al. 2019

Exp. Comput. Multiph. Flow

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“…In short-range radiation model (SRM) developed in Wu et al (2016b), the radiative flux between two Voronoi neighboring spheres is formulated as…”

Section: Cfd-dem Modelmentioning

confidence: 99%

“…The statistical multiphase approach is reported in Gusarov (2019) to evaluate radiative properties of opaque materials. A particle scale approach called short-range radiation model (SRM) is developed in our previous work (Wu et al, 2016b), in which adjacent Voronoi pairs are considered for flux. In Wu et al (2017), SRM is coupled in the CFD-DEM simulation for the flow and heat transfer of nuclear pebble bed.…”

Section: Introductionmentioning

confidence: 99%

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

Hao

Gui

Yang

et al. 2020

Exp. Comput. Multiph. Flow

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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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“…Radiative heat transfer widely exists in the large packed beds, including circulating fluidized beds (Borodulya and Kovensky 1983;Hou et al 2015), high temperature solid particle solar receiver (Johnson, Baker, and Tari 2019) and pebble-bed power plant (Wu et al 2016;2020a;Zhang et al 2016). From the aspect of design and engineering applications, it is very meaningful and necessary to simulate the flow and heat transfer processes in packed beds.…”

Section: Introductionmentioning

confidence: 99%

A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed

Hao

2020

AAAI

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Prediction of particle radiative heat transfer flux is an important task in the large discrete granular systems, such as pebble bed in power plants and industrial fluidized beds. For particle motion and packing, discrete element method (DEM) now is widely accepted as the excellent Lagrangian approach. For thermal radiation, traditional methods focus on calculating the obstructed view factor directly by numerical algorithms. The major challenge for the simulation is that the method is proven to be time-consuming and not feasible to be applied in the practical cases. In this work, we propose an analytical model to calculate macroscopic effective conductivity from particle packing structures Then, we develop a deep neural network (DNN) model used as a predictor of the complex view factor function. The DNN model is trained by a large dataset and the computational speed is greatly improved with good accuracy. It is feasible to perform real-time simulation with DNN model for radiative heat transfer in large pebble bed. The trained model also can be coupled with DEM and used to analyze efficiently the directional radiative conductivity, anisotropic factor and wall effect of the particle thermal radiation.

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Effect of scale on the modeling of radiation heat transfer in packed pebble beds

Cited by 79 publications

References 26 publications

A review of pebble flow study for pebble bed high temperature gas-cooled reactor

A review of pebble flow study for pebble bed high temperature gas-cooled reactor

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

A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed

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