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

Humbird, David; Trendewicz, Anna; Braun, Robert; Dutta, Abhijit

doi:10.1021/acssuschemeng.6b02809

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

Abstract

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:

Humbird, David ^[1]; Trendewicz, Anna ^[2]; Braun, Robert ^[2];

^[3]

DWH Process Consulting, Centennial, CO (United States)
Colorado School of Mines, Golden, CO (United States)
National Renewable Energy Lab. (NREL), Golden, CO (United States)

Publication Date:: Thu Jan 12 00:00:00 EST 2017

Research Org.:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

OSTI Identifier:: 1346539

Report Number(s):: NREL/JA-5100-67468
Journal ID: ISSN 2168-0485

Grant/Contract Number:: AC36-08GO28308

Resource 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)

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

Citation Formats


                    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., 2017. 
Web.  doi:10.1021/acssuschemeng.6b02809.

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                    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.  https://doi.org/10.1021/acssuschemeng.6b02809

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                    Humbird, David, Trendewicz, Anna, Braun, Robert, and Dutta, Abhijit. Thu .  
"One-dimensional biomass fast pyrolysis model with reaction kinetics integrated in an Aspen Plus Biorefinery Process Model".  United States.  https://doi.org/10.1021/acssuschemeng.6b02809.  https://www.osti.gov/servlets/purl/1346539.

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@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         = {Thu Jan 12 00:00:00 EST 2017},

  month        = {Thu Jan 12 00:00:00 EST 2017}

}

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Works referenced in this record:

One dimensional steady-state circulating fluidized-bed reactor model for biomass fast pyrolysis
journal, October 2014

Trendewicz, Anna; Braun, Robert; Dutta, Abhijit
Fuel, Vol. 133
DOI: 10.1016/j.fuel.2014.05.009

Process Design and Economics for the Conversion of Lignocellulosic Biomass to Hydrocarbon Fuels. Thermochemical Research Pathways with In Situ and Ex Situ Upgrading of Fast Pyrolysis Vapors
report, March 2015

Dutta, Abhijit; Sahir, Asad; Tan, Eric
DOI: 10.2172/1215007

Process Design and Economics for the Conversion of Lignocellulosic Biomass to Hydrocarbon Fuels: Fast Pyrolysis and Hydrotreating Bio-oil Pathway
report, November 2013

Jones, Susanne; Meyer, Pimphan; Snowden-Swan, Lesley
PNNL--23053
DOI: 10.2172/1126275

Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis
journal, January 2016

Xiong, Qingang; Xu, Fei; Ramirez, Emilio
Fuel, Vol. 164
DOI: 10.1016/j.fuel.2015.09.074

A Generalized Biomass Pyrolysis Model Based on Superimposed Cellulose, Hemicelluloseand Liqnin Kinetics
journal, July 1997

Miller, R. S.; Bellan, J.
Combustion Science and Technology, Vol. 126, Issue 1-6
DOI: 10.1080/00102209708935670

Chemical Kinetics of Biomass Pyrolysis
journal, November 2008

Ranzi, Eliseo; Cuoci, Alberto; Faravelli, Tiziano
Energy & Fuels, Vol. 22, Issue 6
DOI: 10.1021/ef800551t

Comprehensive Kinetic Modeling Study of Bio-oil Formation from Fast Pyrolysis of Biomass
journal, October 2010

Calonaci, Matteo; Grana, Roberto; Barker Hemings, Emma
Energy & Fuels, Vol. 24, Issue 10
DOI: 10.1021/ef1008902

Corrigendum to “One dimensional steady-state circulating fluidized-bed reactor model for biomass fast pyrolysis” [Fuel 133 (2014) 253–262]
journal, March 2015

Trendewicz, Anna; Braun, Robert; Dutta, Abhijit
Fuel, Vol. 144
DOI: 10.1016/j.fuel.2014.12.053

Kinetic modeling of the thermal degradation and combustion of biomass
journal, May 2014

Ranzi, Eliseo; Corbetta, Michele; Manenti, Flavio
Chemical Engineering Science, Vol. 110
DOI: 10.1016/j.ces.2013.08.014

Evaluating the effect of potassium on cellulose pyrolysis reaction kinetics
journal, March 2015

Trendewicz, Anna; Evans, Robert; Dutta, Abhijit
Biomass and Bioenergy, Vol. 74
DOI: 10.1016/j.biombioe.2015.01.001

Works referencing / citing this record:

Advancing catalytic fast pyrolysis through integrated multiscale modeling and experimentation: Challenges, progress, and perspectives
journal, April 2018

Ciesielski, Peter N.; Pecha, M. Brennan; Bharadwaj, Vivek S.
Wiley Interdisciplinary Reviews: Energy and Environment, Vol. 7, Issue 4
DOI: 10.1002/wene.297

A rigorous process modeling methodology for biomass fast pyrolysis with an entrained‐flow reactor
journal, August 2019

Caudle, Benjamin H.; Gorensek, Maximilian B.; Chen, Chau‐Chyun
Journal of Advanced Manufacturing and Processing, Vol. 2, Issue 1
DOI: 10.1002/amp2.10031

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

Abstract

Citation Formats

One dimensional steady-state circulating fluidized-bed reactor model for biomass fast pyrolysis journal, October 2014

Process Design and Economics for the Conversion of Lignocellulosic Biomass to Hydrocarbon Fuels. Thermochemical Research Pathways with In Situ and Ex Situ Upgrading of Fast Pyrolysis Vapors report, March 2015

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Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis journal, January 2016

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Chemical Kinetics of Biomass Pyrolysis journal, November 2008

Comprehensive Kinetic Modeling Study of Bio-oil Formation from Fast Pyrolysis of Biomass journal, October 2010

Corrigendum to “One dimensional steady-state circulating fluidized-bed reactor model for biomass fast pyrolysis” [Fuel 133 (2014) 253–262] journal, March 2015

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Advancing catalytic fast pyrolysis through integrated multiscale modeling and experimentation: Challenges, progress, and perspectives journal, April 2018

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One dimensional steady-state circulating fluidized-bed reactor model for biomass fast pyrolysis
journal, October 2014

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report, March 2015

Process Design and Economics for the Conversion of Lignocellulosic Biomass to Hydrocarbon Fuels: Fast Pyrolysis and Hydrotreating Bio-oil Pathway
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Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis
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Evaluating the effect of potassium on cellulose pyrolysis reaction kinetics
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