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Numerical simulation of flow hydrodynamics of struvite pellets in a liquid-solid fluidized bed
Xin Ye1, Dongyuan Chu2, Yaoyin Lou1
1Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
Journal of Environmental Sciences (China)
|June 26, 2017
Summary
This study simulates struvite pellet flow in a fluidized bed reactor (FBR) using a two-fluid model. The findings guide phosphorus recovery operations and optimize struvite crystallization processes.
Area of Science:
- Environmental Engineering
- Chemical Engineering
- Fluid Dynamics
Background:
- Phosphorus recovery as struvite offers dual benefits for eutrophication control and resource conservation.
- Struvite product usability is primarily determined by particle size, which is heavily influenced by hydrodynamics.
- Understanding fluidization behavior is crucial for optimizing struvite recovery processes.
Purpose of the Study:
- To simulate the flow behavior of struvite pellets in a liquid-solid fluidized bed reactor (FBR).
- To evaluate the impact of various operational conditions, particle characteristics, and reactor shapes on fluidization.
- To validate a computational model for predicting struvite fluidization dynamics.
Main Methods:
- Utilized an Eulerian-Eulerian two-fluid model coupled with the kinetic theory of granular flow.
- Conducted a parametric study on mesh size, time step, discretization, turbulence, and drag models.
- Evaluated operational parameters like liquid velocity, particle size, and reactor dimensions.
Main Results:
- A mesh resolution of 16x240, 0.001s time step, and first-order scheme accurately simulated fluidization.
- The Syamlal-O'Brien drag model best matched experimental data for struvite holdup.
- Liquid velocity and particle size significantly affected solid holdups and velocities; reactor diameter influenced solid velocity.
Conclusions:
- The developed model accurately predicts struvite fluidization, aiding in process control and operation.
- Model parameters provide a foundation for future struvite crystallization simulations.
- Optimized fluidization enhances the efficiency and usability of recovered struvite.
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