Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis
Abstract
The impact of bubbling bed hydrodynamics on temporal variations in the exit tar yield for biomass fast pyrolysis was investigated using computational simulations of an experimental laboratory-scale reactor. A multi-fluid computational fluid dynamics model was employed to simulate the differential conservation equations in the reactor, and this was combined with a multi-component, multi-step pyrolysis kinetics scheme for biomass to account for chemical reactions. The predicted mean tar yields at the reactor exit appear to match corresponding experimental observations. Parametric studies predicted that increasing the fluidization velocity should improve the mean tar yield but increase its temporal variations. Increases in the mean tar yield coincide with reducing the diameter of sand particles or increasing the initial sand bed height. However, trends in tar yield variability are more complex than the trends in mean yield. The standard deviation in tar yield reaches a maximum with changes in sand particle size. As a result, the standard deviation in tar yield increases with the increases in initial bed height in freely bubbling state, while reaches a maximum in slugging state.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Saudi Arabia Basic Industries Corp. Americas, Sugar Land, TX (United States)
- Iowa State Univ., Ames, IA (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1238738
- Alternate Identifier(s):
- OSTI ID: 1396690
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Fuel
- Additional Journal Information:
- Journal Volume: 164; Journal Issue: C; Journal ID: ISSN 0016-2361
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 09 BIOMASS FUELS; biomass fast pyrolysis; bubbling bed hydrodynamics; multi-fluid model; tar yield fluctuation; slugging
Citation Formats
Xiong, Qingang, Ramirez, Emilio, Pannala, Sreekanth, Daw, C. Stuart, and Xu, Fei. Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis. United States: N. p., 2015.
Web. doi:10.1016/j.fuel.2015.09.074.
Xiong, Qingang, Ramirez, Emilio, Pannala, Sreekanth, Daw, C. Stuart, & Xu, Fei. Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis. United States. https://doi.org/10.1016/j.fuel.2015.09.074
Xiong, Qingang, Ramirez, Emilio, Pannala, Sreekanth, Daw, C. Stuart, and Xu, Fei. Fri .
"Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis". United States. https://doi.org/10.1016/j.fuel.2015.09.074. https://www.osti.gov/servlets/purl/1238738.
@article{osti_1238738,
title = {Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis},
author = {Xiong, Qingang and Ramirez, Emilio and Pannala, Sreekanth and Daw, C. Stuart and Xu, Fei},
abstractNote = {The impact of bubbling bed hydrodynamics on temporal variations in the exit tar yield for biomass fast pyrolysis was investigated using computational simulations of an experimental laboratory-scale reactor. A multi-fluid computational fluid dynamics model was employed to simulate the differential conservation equations in the reactor, and this was combined with a multi-component, multi-step pyrolysis kinetics scheme for biomass to account for chemical reactions. The predicted mean tar yields at the reactor exit appear to match corresponding experimental observations. Parametric studies predicted that increasing the fluidization velocity should improve the mean tar yield but increase its temporal variations. Increases in the mean tar yield coincide with reducing the diameter of sand particles or increasing the initial sand bed height. However, trends in tar yield variability are more complex than the trends in mean yield. The standard deviation in tar yield reaches a maximum with changes in sand particle size. As a result, the standard deviation in tar yield increases with the increases in initial bed height in freely bubbling state, while reaches a maximum in slugging state.},
doi = {10.1016/j.fuel.2015.09.074},
journal = {Fuel},
number = C,
volume = 164,
place = {United States},
year = {Fri Oct 09 00:00:00 EDT 2015},
month = {Fri Oct 09 00:00:00 EDT 2015}
}
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