Projects per year
Abstract
Intensive heat and mass transfer between continuum fluids and discrete particulate materials plays a critical role in many chemical reactors. The residence and chemical reactions of particulate materials could span over hours. To understand and improve the operation of these reactors, discrete particle models are very helpful and computationally demanding. Different to the previous coarse grain model in reducing computational cost by reducing total particle number with large representative particles, a scaling approach by changing process parameters and thus the time scale is established to significantly reduce computational cost for the combined computational fluid dynamics (CFD) and discrete element method (DEM) modelling of moving bed reactors. The scaled model is first derived based on the governing equations of mass, momentum and energy for two-phase flow and then applied to a moving bed reactor. The results in terms of flow, heat and mass transfer and chemical reactions with different time scaling factors demonstrate that two-order acceleration in terms of computational time can be achieved while reliably representing the same physical process. The possible use of the scaling approach to other systems is discussed. The scaling approach represents a critical step forward towards establishing virtual real-time thermochemical reactors with discrete particle models.
Original language | English |
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Article number | 106369 |
Number of pages | 11 |
Journal | Fuel Processing Technology |
Volume | 202 |
DOIs | |
Publication status | Published - 1 Jun 2020 |
Keywords
- CFD-DEM
- Chemical reaction
- Heat and mass transfer
- Moving bed reactor
- Scaling
Projects
- 1 Finished
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ARC Research Hub for Computational Particle Technology
Yu, A., Zhao, D., Rudman, M., Jiang, X., Selomulya, C., Zou, R., Yan, W., Zhou, Z., Guo, B., Shen, Y., Kuang, S., Chu, K., Yang, R., Zhu, H., Zeng, Q., Dong, K., Strezov, V., Wang, G., Zhao, B., Song, S., Evans, T., Mao, X., Zhu, J., Hu, D., Pan, R., Li, J., Williams, R., Luding, S., Liu, Q., Zhang, J., Huang, H., Jiang, Y., Qiu, T., Hapgood, K. & Chen, W.
Australian Research Council (ARC), Jiangxi University of Science and Technology, Jiangsu Industrial Technology Research Institute, Fujian Longking Co Ltd, Baosteel Group Corporation, Hamersley Iron Pty Limited, Monash University, University of New South Wales, University of Queensland , Western Sydney University, Macquarie University
31/12/16 → 30/12/21
Project: Research