- Title
- Heat transfer in directly-irradiated high-temperature solid–gas flows laden with polydisperse particles
- Creator
- Chen, Jingling; Kumar, Apurv; Coventry, Joe; Lipiński, Wojciech
- Date
- 2022
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/189550
- Identifier
- vital:17437
- Identifier
-
https://doi.org/10.1016/j.apm.2022.05.034
- Identifier
- ISSN:0307-904X (ISSN)
- Abstract
- Heat transfer in directly-irradiated high-temperature solid–gas flows laden with polydisperse particles is investigated using a novel transient three-dimensional computational fluid dynamics model. The model couples particle–gas hydrodynamics of solid–gas flows laden with polydisperse particles, radiative heat transfer in non-grey absorbing, emitting and anisotropically-scattering multi-component participating media, conduction heat transfer in the gas phase, and interfacial convection heat transfer. The multiphase particle-in-cell method is used to predict high-fidelity solid–gas flow characteristics, such as the local discrete particle size distribution, with increased computational efficiency by combining the advantages of both Eulerian and Lagrangian methods. The multi-component radiative transfer model is implemented using an advanced collision-based Monte Carlo ray-tracing method. The number of the prescribed discrete particle components is found to be the key parameter affecting the computational accuracy and efficiency, which primarily depends on the size distribution of the particles. For the model particle–gas flow featuring free-falling Gamma-distributed ceramic particles exposed to concentrated solar irradiation, the particle volume fraction, radiative, fluid flow and thermal characteristics appear to converge with the increasing number of the discrete particle components. Five particle components are sufficient to obtain physically meaningful results. A further increase in the number of the particle components only slightly increases the accuracy of the numerical predictions at the expense of a rapidly increasing computational time. For five particle components, the particle vertical velocity at the receiver exit for particles with the diameter of 43.4
- Publisher
- Elsevier Inc.
- Relation
- Applied Mathematical Modelling Vol. 110, no. (2022), p. 698-722
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ 2022 Elsevier Inc
- Subject
- 40 Engineering; 46 Information and computing sciences; 49 Mathematical sciences; Monte Carlo method; Particle-in-cell method; Particle–gas flow; Polydispersion; Radiative heat transfer
- Reviewed
- Funder
- This research was financially supported by the Australian Solar Thermal Research Institute, a project supported by the Australian Government, through the Australian Renewable Energy Agency ( 1-SRI002 ), and the US Department of Energy and Sandia National Laboratories (DE-FOA-0001697-1503 ). This work was undertaken with the assistance of resources and services from the National Computational Infrastructure, which is supported by the Australian Government. We thank Mr Siddharth Iyer for discussing Gnuplot.
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