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Title: Experiment and computational fluid dynamics investigation of biochar elutriation in fluidized bed

Abstract

Here, in fluidized bed biomass fast pyrolysis, the biomass is converted to biochar and elutriated. The elutriation rate is a key parameter in reactor designs and operations. This research presents a video-based continuous measurement of biochar elutriation rate in a fluidized bed with sands and biomass as bed materials. The fluidized bed is simulated with the Computational Fluid Dynamics - Coarse-Grained Discrete Element Method (CFD-CGDEM) in MFiX. The fluidization behavior of non-spherical sands can be more accurately captured when a rolling friction model is used. The predicted elutriation rate is close to the experimental measurement when the particle size distributions are considered and the filtered drag with a shape correction is used. These results validated the accuracy of the MFiX based CFD framework for the prediction of biochar elutriations in the fluidized bed biomass fast pyrolysis reactor.

Authors:
ORCiD logo [1]; ORCiD logo [2];  [1];  [1]; ORCiD logo [1];  [3];  [3]
  1. National Energy Technology Lab. (NETL), Morgantown, WV (United States). Support contractor
  2. National Energy Technology Lab. (NETL), Morgantown, WV (United States); Israel Institute of Technology Shantou (China)
  3. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Publication Date:
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1869703
Grant/Contract Number:  
89243318CFE000003
Resource Type:
Accepted Manuscript
Journal Name:
AIChE Journal
Additional Journal Information:
Journal Volume: 68; Journal Issue: 2; Journal ID: ISSN 0001-1541
Publisher:
American Institute of Chemical Engineers
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; biochar; biomass pyrolysis; computational fluid dynamics; discrete element modeling; elutriation

Citation Formats

Lu, Liqiang, Li, Cheng, Rowan, Steven, Hughes, Bryan, Gao, Xi, Shahnam, Mehrdad, and Rogers, William A. Experiment and computational fluid dynamics investigation of biochar elutriation in fluidized bed. United States: N. p., 2021. Web. doi:10.1002/aic.17506.
Lu, Liqiang, Li, Cheng, Rowan, Steven, Hughes, Bryan, Gao, Xi, Shahnam, Mehrdad, & Rogers, William A. Experiment and computational fluid dynamics investigation of biochar elutriation in fluidized bed. United States. https://doi.org/10.1002/aic.17506
Lu, Liqiang, Li, Cheng, Rowan, Steven, Hughes, Bryan, Gao, Xi, Shahnam, Mehrdad, and Rogers, William A. Tue . "Experiment and computational fluid dynamics investigation of biochar elutriation in fluidized bed". United States. https://doi.org/10.1002/aic.17506. https://www.osti.gov/servlets/purl/1869703.
@article{osti_1869703,
title = {Experiment and computational fluid dynamics investigation of biochar elutriation in fluidized bed},
author = {Lu, Liqiang and Li, Cheng and Rowan, Steven and Hughes, Bryan and Gao, Xi and Shahnam, Mehrdad and Rogers, William A.},
abstractNote = {Here, in fluidized bed biomass fast pyrolysis, the biomass is converted to biochar and elutriated. The elutriation rate is a key parameter in reactor designs and operations. This research presents a video-based continuous measurement of biochar elutriation rate in a fluidized bed with sands and biomass as bed materials. The fluidized bed is simulated with the Computational Fluid Dynamics - Coarse-Grained Discrete Element Method (CFD-CGDEM) in MFiX. The fluidization behavior of non-spherical sands can be more accurately captured when a rolling friction model is used. The predicted elutriation rate is close to the experimental measurement when the particle size distributions are considered and the filtered drag with a shape correction is used. These results validated the accuracy of the MFiX based CFD framework for the prediction of biochar elutriations in the fluidized bed biomass fast pyrolysis reactor.},
doi = {10.1002/aic.17506},
journal = {AIChE Journal},
number = 2,
volume = 68,
place = {United States},
year = {Tue Oct 26 00:00:00 EDT 2021},
month = {Tue Oct 26 00:00:00 EDT 2021}
}

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