Abstract
We report results from a computational study of the transition from bubbling to slugging in a laboratory-scale fluidized-bed reactor with Geldart Group B glass particles. For simulating the three-dimensional fluidized-bed hydrodynamics, we employ MFiX, a widely studied multi-phase flow simulation tool, that uses a two-fluid Eulerian-Eulerian approximation of the particle and gas dynamics over a range of gas flows. We also utilize a previously published algorithm to generate bubble statistics that can be correlated with pressure fluctuations to reveal previously unreported details about the stages through which the hydrodynamics progress during the bubbling-to-slugging transition. We expect this new information will lead to improved approaches for on-line reactor diagnostics, as well as new approaches for validating the results of computational fluidized-bed simulations with experimental measurements.
| Original language | English |
|---|---|
| Pages (from-to) | 544-556 |
| Number of pages | 13 |
| Journal | Chemical Engineering Journal |
| Volume | 308 |
| DOIs | |
| State | Published - Jan 15 2017 |
Funding
This work was supported by the Bioenergy Technology Office , US Department of Energy through the Computational Pyrolysis Consortium (CPC) project . The authors would like to thank program sponsors Jeremy Leong, Cynthia Tyler, and Kevin Craig for their support and guidance. More information about the CPC project can be found at http://cpcbiomass.org/ . The authors acknowledge Akhilesh Bakshi for making MS3DATA available and See Hoon Lee for discussions through email about their work related to slugging fluidization.
| Funders | Funder number |
|---|---|
| U.S. Department of Energy | |
| Bioenergy Technologies Office |
Keywords
- Bubble regime transition
- Higher order statistics
- MS3DATA
- Multiphase flow
- Pressure fluctuations
- Skewness and kurtosis