Abstract
A detailed biomass pyrolysis kinetic scheme was assessed in the multiscale simulations of a single-particle pyrolyzer with slow pyrolysis and a pilot-scale entrained flow pyrolyzer with fast pyrolysis. The detailed kinetic scheme of biomass pyrolysis developed by the CRECK group consists of 32 reactions and 58 species. A multiscale simulation model was developed, where the CRECK kinetics was employed to simulate biomass pyrolysis reactions, a one-dimensional particle model was utilized to simulate the intraparticle transport phenomena, and the particle-in-cell (PIC) model was employed to simulate the hydrodynamics. The multiscale model was first applied to simulate a single-particle pyrolysis experiment. The simulation with nonisothermal particles matched the experimental data better than the simulation with isothermal particles. Then the multiscale model was applied to simulate the pilot-scale entrained flow pyrolyzer. In this case, the simulation with isothermal particles matched the experimental data better than the simulation with nonisothermal particles. The reason for this difference might be that the kinetics itself already partially included the intraparticle transport effect as it was fitted using both TGA data (slow pyrolysis of small size biomass) and fluidized bed data (fast pyrolysis of relatively large size biomass). This study provides some insights into biomass pyrolysis kinetics development and pyrolyzer multiscale simulation for a future study.
| Original language | English |
|---|---|
| Article number | 129347 |
| Journal | Chemical Engineering Journal |
| Volume | 418 |
| DOIs | |
| State | Published - Aug 15 2021 |
Funding
This work was performed in support of the US Department of Energy’s EERE Bioenergy Technologies Office (BETO) as part of the BETO Consortium for Computational Physics and Chemistry (CCPC). The research was executed through the NETL Research and Innovation Center’s BETO CCPC. Research performed by Leidos Research Support Team staff was conducted under the RSS contract 89243318CFE000003. Research performed in part by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. This work was partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Projekt Nummer 215035359 – TRR 129. The authors would like to thank Huda Ashfaq and Bryan Hughes for their help in the biomass characterization. This work was authored in part by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Solar Energy Technologies Office. The views expressed in the article do not necessarily represent the views of the DOE or the U.S. Government. The U.S. Government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this work, or allow others to do so, for U.S. Government purposes.
| Funders | Funder number |
|---|---|
| National Renewable Energy Laboratory | |
| U.S. Department of Energy | |
| Deutsche Forschungsgemeinschaft | |
| Deutsche Forschungsgemeinschaft | 215035359 – TRR 129 |
| U.S. Department of Energy | DE-AC36-08GO28308 |
| National Renewable Energy Laboratory | |
| U.S. Department of Energy | |
| U.S. Department of Energy | DE-AC36-08GO28308 |
Keywords
- Biomass
- CFD
- Kinetics
- MFiX
- Multiscale
- Pyrolysis
