Predictive Model for Particle Residence Time Distributions in Riser Reactors. Part 1 [electronic resource] : Model Development and Validation
- Washington, D.C. : United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
- Additional Creators:
- National Renewable Energy Laboratory (U.S.)
United States. Department of Energy. Office of Energy Efficiency and Renewable Energy
United States. Department of Energy. Office of Scientific and Technical Information
- Here in this computational study, we model the mixing of biomass pyrolysis vapor with solid catalyst in circulating riser reactors with a focus on the determination of solid catalyst residence time distributions (RTDs). A comprehensive set of 2D and 3D simulations were conducted for a pilot-scale riser using the Eulerian-Eulerian two-fluid modeling framework with and without sub-grid-scale models for the gas-solids interaction. A validation test case was also simulated and compared to experiments, showing agreement in the pressure gradient and RTD mean and spread. For simulation cases, it was found that for accurate RTD prediction, the Johnson and Jackson partial slip solids boundary condition was required for all models and a sub-grid model is useful so that ultra high resolutions grids that are very computationally intensive are not required. Finally, we discovered a 2/3 scaling relation for the RTD mean and spread when comparing resolved 2D simulations to validated unresolved 3D sub-grid-scale model simulations.
- Published through SciTech Connect.
ACS Sustainable Chemistry & Engineering 5 4 ISSN 2168-0485 AM
Thomas D. Foust; Jack L. Ziegler; Sreekanth Pannala; Peter Ciesielski; Mark R. Nimlos; David J. Robichaud.
- Funding Information:
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