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Title: A rigorous process modeling methodology for biomass fast pyrolysis with an entrained‐flow reactor

Abstract

A biomass fast pyrolysis model was developed for implementation in equation-oriented modeling software. Based on a previous framework of coupled 1-dimensional mass, momentum, and heat balance equations, this model includes updated reaction kinetics to provide a more detailed representation of biomass components, intermediates, and products. A recently published derivation of thermodynamic properties for the species in this model has allowed the energy balance around the pyrolysis reactor to be rigorously redefined. With these improvements, the optimum pyrolysis temperature for bio-oil production predicted by the model is increased by up to 50°C, bringing it in line with experimental data and increasing the overall agreement. More importantly, the reactor energy balance is strictly enforced. The resulting model can be used for the design and optimization of biomass fast pyrolysis processes, and comparisons with other options for biomass utilization.

Authors:
 [1]; ORCiD logo [2]; ORCiD logo [3]
  1. Texas Tech Univ., Lubbock, TX (United States); Savannah River Consulting, LLC, Aiken, SC (United States)
  2. Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL)
  3. Texas Tech Univ., Lubbock, TX (United States)
Publication Date:
Research Org.:
Savannah River Site (SRS), Aiken, SC (United States); Savannah River National Lab (SRNL), Aiken, SC (United States)
Sponsoring Org.:
USDOE Office of Environmental Management (EM)
OSTI Identifier:
1604905
Alternate Identifier(s):
OSTI ID: 1559345
Report Number(s):
[SRNL-STI-2019-00461]
[Journal ID: ISSN 2637-403X]
Grant/Contract Number:  
[AC09-08SR22470; EE0007888‐02‐7]
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Advanced Manufacturing and Processing
Additional Journal Information:
[ Journal Volume: 2; Journal Issue: 1]; Journal ID: ISSN 2637-403X
Publisher:
American Institute of Chemical Engineers (AIChE), Wiley
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS

Citation Formats

Caudle, Benjamin H., Gorensek, Maximilian B., and Chen, Chau‐Chyun. A rigorous process modeling methodology for biomass fast pyrolysis with an entrained‐flow reactor. United States: N. p., 2019. Web. doi:10.1002/amp2.10031.
Caudle, Benjamin H., Gorensek, Maximilian B., & Chen, Chau‐Chyun. A rigorous process modeling methodology for biomass fast pyrolysis with an entrained‐flow reactor. United States. doi:10.1002/amp2.10031.
Caudle, Benjamin H., Gorensek, Maximilian B., and Chen, Chau‐Chyun. Fri . "A rigorous process modeling methodology for biomass fast pyrolysis with an entrained‐flow reactor". United States. doi:10.1002/amp2.10031.
@article{osti_1604905,
title = {A rigorous process modeling methodology for biomass fast pyrolysis with an entrained‐flow reactor},
author = {Caudle, Benjamin H. and Gorensek, Maximilian B. and Chen, Chau‐Chyun},
abstractNote = {A biomass fast pyrolysis model was developed for implementation in equation-oriented modeling software. Based on a previous framework of coupled 1-dimensional mass, momentum, and heat balance equations, this model includes updated reaction kinetics to provide a more detailed representation of biomass components, intermediates, and products. A recently published derivation of thermodynamic properties for the species in this model has allowed the energy balance around the pyrolysis reactor to be rigorously redefined. With these improvements, the optimum pyrolysis temperature for bio-oil production predicted by the model is increased by up to 50°C, bringing it in line with experimental data and increasing the overall agreement. More importantly, the reactor energy balance is strictly enforced. The resulting model can be used for the design and optimization of biomass fast pyrolysis processes, and comparisons with other options for biomass utilization.},
doi = {10.1002/amp2.10031},
journal = {Journal of Advanced Manufacturing and Processing},
number = [1],
volume = [2],
place = {United States},
year = {2019},
month = {8}
}

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