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Title: One-dimensional biomass fast pyrolysis model with reaction kinetics integrated in an Aspen Plus Biorefinery Process Model

A biomass fast pyrolysis reactor model with detailed reaction kinetics and one-dimensional fluid dynamics was implemented in an equation-oriented modeling environment (Aspen Custom Modeler). Portions of this work were detailed in previous publications; further modifications have been made here to improve stability and reduce execution time of the model to make it compatible for use in large process flowsheets. The detailed reactor model was integrated into a larger process simulation in Aspen Plus and was stable for different feedstocks over a range of reactor temperatures. Sample results are presented that indicate general agreement with experimental results, but with higher gas losses caused by stripping of the bio-oil by the fluidizing gas in the simulated absorber/condenser. Lastly, this integrated modeling approach can be extended to other well-defined, predictive reactor models for fast pyrolysis, catalytic fast pyrolysis, as well as other processes.
Authors:
 [1] ;  [2] ;  [2] ; ORCiD logo [3]
  1. DWH Process Consulting, Centennial, CO (United States)
  2. Colorado School of Mines, Golden, CO (United States)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Report Number(s):
NREL/JA-5100-67468
Journal ID: ISSN 2168-0485
Grant/Contract Number:
AC36-08GO28308
Type:
Accepted Manuscript
Journal Name:
ACS Sustainable Chemistry & Engineering
Additional Journal Information:
Journal Volume: 5; Journal Issue: 3; Journal ID: ISSN 2168-0485
Publisher:
American Chemical Society (ACS)
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; biomass fast pyrolysis; catalytic fast pyrolysis; biomass feedstock; Aspen Custom Modeler; Aspen Plus; entrained flow; fast pyrolysis; predictive model; reactor model
OSTI Identifier:
1346539

Humbird, David, Trendewicz, Anna, Braun, Robert, and Dutta, Abhijit. One-dimensional biomass fast pyrolysis model with reaction kinetics integrated in an Aspen Plus Biorefinery Process Model. United States: N. p., Web. doi:10.1021/acssuschemeng.6b02809.
Humbird, David, Trendewicz, Anna, Braun, Robert, & Dutta, Abhijit. One-dimensional biomass fast pyrolysis model with reaction kinetics integrated in an Aspen Plus Biorefinery Process Model. United States. doi:10.1021/acssuschemeng.6b02809.
Humbird, David, Trendewicz, Anna, Braun, Robert, and Dutta, Abhijit. 2017. "One-dimensional biomass fast pyrolysis model with reaction kinetics integrated in an Aspen Plus Biorefinery Process Model". United States. doi:10.1021/acssuschemeng.6b02809. https://www.osti.gov/servlets/purl/1346539.
@article{osti_1346539,
title = {One-dimensional biomass fast pyrolysis model with reaction kinetics integrated in an Aspen Plus Biorefinery Process Model},
author = {Humbird, David and Trendewicz, Anna and Braun, Robert and Dutta, Abhijit},
abstractNote = {A biomass fast pyrolysis reactor model with detailed reaction kinetics and one-dimensional fluid dynamics was implemented in an equation-oriented modeling environment (Aspen Custom Modeler). Portions of this work were detailed in previous publications; further modifications have been made here to improve stability and reduce execution time of the model to make it compatible for use in large process flowsheets. The detailed reactor model was integrated into a larger process simulation in Aspen Plus and was stable for different feedstocks over a range of reactor temperatures. Sample results are presented that indicate general agreement with experimental results, but with higher gas losses caused by stripping of the bio-oil by the fluidizing gas in the simulated absorber/condenser. Lastly, this integrated modeling approach can be extended to other well-defined, predictive reactor models for fast pyrolysis, catalytic fast pyrolysis, as well as other processes.},
doi = {10.1021/acssuschemeng.6b02809},
journal = {ACS Sustainable Chemistry & Engineering},
number = 3,
volume = 5,
place = {United States},
year = {2017},
month = {1}
}