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Comparison of solid phase closure models in Eulerian-Eulerian simulations of a circulating fluidized bed riser
- Publication Year :
- 2019
- Publisher :
- Elsevier, 2019.
-
Abstract
- In this work, computational fluid dynamics with Eulerian-Eulerian modeling approach is used in the investigation of the effect of the solid phase closure models on the hydrodynamics of a circulating fluidized bed riser. The studied models are the kinetic theory of granular flow and the powder modulus model. Computational performance and model prediction accuracy are investigated by performing transient simulations for three different cases and for different mesh sizes. The modeling results are compared with measured vertical pressure profile, external circulation mass flow rates, and particle velocity and concentration profiles obtained from a laboratory scale circulating fluidized bed unit. Additionally the computational times are compared to estimate the computational performance and to investigate if a simpler set of closures is computationally more affordable. The results indicate that both closure models can give good predictions for some quantities, while lacking in other quantities. The results indicate that the closure models for the solid phase have a noticeable effect on the model predictions, such as the vertical pressure profile and external circulation rate of the particles. Post-print / Final draft
- Subjects :
- Materials science
business.industry
Applied Mathematics
General Chemical Engineering
Mass flow
Flow (psychology)
Eulerian path
02 engineering and technology
General Chemistry
Mechanics
Computational fluid dynamics
021001 nanoscience & nanotechnology
Industrial and Manufacturing Engineering
symbols.namesake
Circulation (fluid dynamics)
020401 chemical engineering
Closure (computer programming)
symbols
Particle velocity
Fluidized bed combustion
0204 chemical engineering
0210 nano-technology
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....6826c244a7965700d5df7a7b2720bccc