Coupling DAEM and CFD for simulating biomass fast pyrolysis in fluidized beds
Abstract
We report results from computational simulations of an experimental, lab-scale bubbling bed biomass pyrolysis reactor that include a distributed activation energy model (DAEM) for the kinetics. In this study, we utilized multiphase computational fluid dynamics (CFD) to account for the turbulent hydrodynamics, and this was combined with the DAEM kinetics in a multi-component, multi-step reaction network. Our results indicate that it is possible to numerically integrate the coupled CFD–DAEM system without significantly increasing computational overhead. It is also clear, however, that reactor operating conditions, reaction kinetics, and multiphase flow dynamics all have major impacts on the pyrolysis products exiting the reactor. We find that, with the same pre-exponential factors and mean activation energies, inclusion of distributed activation energies in the kinetics can shift the predicted average value of the exit vapor-phase tar flux and its statistical distribution, compared to single-valued activation-energy kinetics. Perhaps the most interesting observed trend is that increasing the diversity of the DAEM activation energies appears to increase the mean tar yield, all else being equal. As a result, these findings imply that accurate resolution of the reaction activation energy distributions will be important for optimizing biomass pyrolysis processes.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Univ. of Nebraska-Lincoln, Lincoln, NE (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:
- 1238742
- Alternate Identifier(s):
- OSTI ID: 1246545
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Analytical and Applied Pyrolysis
- Additional Journal Information:
- Journal Volume: 117; Journal Issue: C; Journal ID: ISSN 0165-2370
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 09 BIOMASS FUELS
Citation Formats
Xiong, Qingang, Zhang, Jingchao, Wiggins, Gavin, Daw, C. Stuart, and Xu, Fei. Coupling DAEM and CFD for simulating biomass fast pyrolysis in fluidized beds. United States: N. p., 2015.
Web. doi:10.1016/j.jaap.2015.11.015.
Xiong, Qingang, Zhang, Jingchao, Wiggins, Gavin, Daw, C. Stuart, & Xu, Fei. Coupling DAEM and CFD for simulating biomass fast pyrolysis in fluidized beds. United States. https://doi.org/10.1016/j.jaap.2015.11.015
Xiong, Qingang, Zhang, Jingchao, Wiggins, Gavin, Daw, C. Stuart, and Xu, Fei. Thu .
"Coupling DAEM and CFD for simulating biomass fast pyrolysis in fluidized beds". United States. https://doi.org/10.1016/j.jaap.2015.11.015. https://www.osti.gov/servlets/purl/1238742.
@article{osti_1238742,
title = {Coupling DAEM and CFD for simulating biomass fast pyrolysis in fluidized beds},
author = {Xiong, Qingang and Zhang, Jingchao and Wiggins, Gavin and Daw, C. Stuart and Xu, Fei},
abstractNote = {We report results from computational simulations of an experimental, lab-scale bubbling bed biomass pyrolysis reactor that include a distributed activation energy model (DAEM) for the kinetics. In this study, we utilized multiphase computational fluid dynamics (CFD) to account for the turbulent hydrodynamics, and this was combined with the DAEM kinetics in a multi-component, multi-step reaction network. Our results indicate that it is possible to numerically integrate the coupled CFD–DAEM system without significantly increasing computational overhead. It is also clear, however, that reactor operating conditions, reaction kinetics, and multiphase flow dynamics all have major impacts on the pyrolysis products exiting the reactor. We find that, with the same pre-exponential factors and mean activation energies, inclusion of distributed activation energies in the kinetics can shift the predicted average value of the exit vapor-phase tar flux and its statistical distribution, compared to single-valued activation-energy kinetics. Perhaps the most interesting observed trend is that increasing the diversity of the DAEM activation energies appears to increase the mean tar yield, all else being equal. As a result, these findings imply that accurate resolution of the reaction activation energy distributions will be important for optimizing biomass pyrolysis processes.},
doi = {10.1016/j.jaap.2015.11.015},
journal = {Journal of Analytical and Applied Pyrolysis},
number = C,
volume = 117,
place = {United States},
year = {Thu Dec 03 00:00:00 EST 2015},
month = {Thu Dec 03 00:00:00 EST 2015}
}
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Works referenced in this record:
A CFD study of biomass pyrolysis in a downer reactor equipped with a novel gas–solid separator-II thermochemical performance and products
journal, May 2015
- Yu, Xi; Hassan, Mohamed; Ocone, Raffaella
- Fuel Processing Technology, Vol. 133
A model of wood flash pyrolysis in fluidized bed reactor
journal, March 2005
- Luo, Zhongyang; Wang, Shurong; Cen, Kefa
- Renewable Energy, Vol. 30, Issue 3
An Euler–Euler approach to modeling biomass fast pyrolysis in fluidized-bed reactors – Focusing on the gas phase
journal, September 2013
- Mellin, Pelle; Zhang, Qinglin; Kantarelis, Efthymios
- Applied Thermal Engineering, Vol. 58, Issue 1-2
CFD modeling of space-time evolution of fast pyrolysis products in a bench-scale fluidized-bed reactor
journal, February 2012
- Boateng, A. A.; Mtui, P. L.
- Applied Thermal Engineering, Vol. 33-34
Design and Characterization of an Entrained Flow Reactor for the Study of Biomass Pyrolysis Chemistry at High Heating Rates
journal, September 2001
- Brown, Alexander L.; Dayton, David C.; Nimlos, Mark R.
- Energy & Fuels, Vol. 15, Issue 5
A numerical study on biomass fast pyrolysis process: A comparison between full lumped modeling and hybrid modeling combined with CFD
journal, November 2015
- Lee, Yu Ri; Choi, Hang Seok; Park, Hoon Chae
- Computers & Chemical Engineering, Vol. 82
Influence of Reaction Atmosphere (H 2 O, N 2 , H 2 , CO 2 , CO) on Fluidized-Bed Fast Pyrolysis of Biomass Using Detailed Tar Vapor Chemistry in Computational Fluid Dynamics
journal, August 2015
- Mellin, Pelle; Yu, Xi; Yang, Weihong
- Industrial & Engineering Chemistry Research, Vol. 54, Issue 33
Development of a generalized numerical framework for simulating biomass fast pyrolysis in fluidized-bed reactors
journal, August 2013
- Xiong, Qingang; Kong, Song-Charng; Passalacqua, Alberto
- Chemical Engineering Science, Vol. 99
Modeling the thermochemical degradation of biomass inside a fast pyrolysis fluidized bed reactor
journal, December 2011
- Bruchmüller, J.; van Wachem, B. G. M.; Gu, S.
- AIChE Journal, Vol. 58, Issue 10
Numerical simulation of biomass fast pyrolysis in an auger reactor
journal, September 2015
- Aramideh, Soroush; Xiong, Qingang; Kong, Song-Charng
- Fuel, Vol. 156
Numerical study of fast pyrolysis of woody biomass in a gravity-driven reactor
journal, October 2009
- Choi, Hang Seok; Choi, Yeon Seok; Kim, Seock Joon
- Environmental Progress & Sustainable Energy, Vol. 28, Issue 3
Characterization of an entrained flow reactor for pyrolysis of coal and biomass at higher temperatures
journal, September 2015
- Tchapda, Aime H.; Pisupati, Sarma V.
- Fuel, Vol. 156
Numerical Comparison of the Drag Models of Granular Flows Applied to the Fast Pyrolysis of Biomass
journal, February 2010
- Papadikis, K.; Gu, S.; Fivga, A.
- Energy & Fuels, Vol. 24, Issue 3
Modeling of dense gas–solid reactive mixtures applied to biomass pyrolysis in a fluidized bed
journal, December 2001
- Lathouwers, D.; Bellan, J.
- International Journal of Multiphase Flow, Vol. 27, Issue 12
Modeling Effects of Operating Conditions on Biomass Fast Pyrolysis in Bubbling Fluidized Bed Reactors
journal, September 2013
- Xiong, Qingang; Aramideh, Soroush; Kong, Song-Charng
- Energy & Fuels, Vol. 27, Issue 10
Modeling effects of interphase transport coefficients on biomass pyrolysis in fluidized beds
journal, August 2014
- Xiong, Qingang; Kong, Song-Charng
- Powder Technology, Vol. 262
Computational modelling of the impact of particle size to the heat transfer coefficient between biomass particles and a fluidised bed
journal, January 2010
- Papadikis, K.; Gu, S.; Bridgwater, A. V.
- Fuel Processing Technology, Vol. 91, Issue 1
Computational Modeling of Biomass Thermochemical Conversion in Fluidized Beds: Particle Density Variation and Size Distribution
journal, November 2014
- Xue, Qingluan; Fox, Rodney O.
- Industrial & Engineering Chemistry Research, Vol. 54, Issue 16
CFD modelling of the fast pyrolysis of biomass in fluidised bed reactors: Modelling the impact of biomass shrinkage
journal, July 2009
- Papadikis, K.; Gu, S.; Bridgwater, A. V.
- Chemical Engineering Journal, Vol. 149, Issue 1-3
Biomass pyrolysis: Kinetic modelling and experimental validation under high temperature and flash heating rate conditions
journal, May 2009
- Dupont, Capucine; Chen, Li; Cances, Julien
- Journal of Analytical and Applied Pyrolysis, Vol. 85, Issue 1-2
Analysis of an annular finned pyrolyser-II
journal, April 2000
- Batra, Dheerendra; Rao, T. Rajeswara
- Energy Conversion and Management, Vol. 41, Issue 6
A CFD approach on the effect of particle size on char entrainment in bubbling fluidised bed reactors
journal, January 2010
- Papadikis, K.; Gu, S.; Bridgwater, A. V.
- Biomass and Bioenergy, Vol. 34, Issue 1
3D simulation of the effects of sphericity on char entrainment in fluidised beds
journal, July 2010
- Papadikis, K.; Gu, S.; Bridgwater, A. V.
- Fuel Processing Technology, Vol. 91, Issue 7
Delay of biomass pyrolysis by gas–particle interaction
journal, November 2014
- Russo, E.; Kuerten, J. G. M.; Geurts, B. J.
- Journal of Analytical and Applied Pyrolysis, Vol. 110
Development of a semi-empirical model for pyrolysis of an annular sawdust bed
journal, March 2004
- Ravi, M. R.; Jhalani, Anurag; Sinha, Sanjiv
- Journal of Analytical and Applied Pyrolysis, Vol. 71, Issue 1
Experimental and numerical study of biomass flash pyrolysis in an entrained flow reactor
journal, May 2010
- Sun, Shaozeng; Tian, Hongming; Zhao, Yijun
- Bioresource Technology, Vol. 101, Issue 10
Fast pyrolysis of an ensemble of biomass particles in a fluidized bed
journal, September 2010
- Rabinovich, O. S.; Borodulya, V. A.; Vinogradov, L. M.
- Journal of Engineering Physics and Thermophysics, Vol. 83, Issue 4
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
Prediction of thermal behavior of pyrolyzed wet biomass by means of model with inner wood structure
journal, January 2015
- Polesek-Karczewska, Sylwia; Kardaś, Dariusz
- Journal of Thermal Science, Vol. 24, Issue 1
Pyrolysis in porous media: Part 1. Numerical model and parametric study
journal, April 2013
- Romagnosi, L.; Gascoin, N.; El-Tabach, E.
- Energy Conversion and Management, Vol. 68
Assessment of devolatilization schemes in predicting product yields of biomass fast pyrolysis
journal, January 2014
- Xiong, Qingang; Aramideh, Soroush; Kong, Song-Charng
- Environmental Progress & Sustainable Energy, Vol. 33, Issue 3
Validation of kinetic parameter values for prediction of pyrolysis behaviour of corn stalks in a horizontal entrained-flow reactor
journal, May 2008
- Xiu, Shuangning; Wang, Nana; Yi, Weiming
- Biosystems Engineering, Vol. 100, Issue 1
Evaluation of global biomass devolatilization kinetics in a drop tube reactor with CFD aided experiments
journal, October 2009
- Simone, Marco; Biagini, Enrico; Galletti, Chiara
- Fuel, Vol. 88, Issue 10
Computational fluid dynamics modeling of biomass fast pyrolysis in a fluidized bed reactor, using a comprehensive chemistry scheme
journal, January 2014
- Mellin, Pelle; Kantarelis, Efthymios; Yang, Weihong
- Fuel, Vol. 117
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
Kinetics of volatile product evolution in coal pyrolysis: experiment and theory
journal, March 1987
- Serio, Michael A.; Hamblen, David G.; Markham, James R.
- Energy & Fuels, Vol. 1, Issue 2
An overview of distributed activation energy model and its application in the pyrolysis of lignocellulosic biomass
journal, August 2014
- Cai, Junmeng; Wu, Weixuan; Liu, Ronghou
- Renewable and Sustainable Energy Reviews, Vol. 36
Comparison of the pyrolysis behavior of pyrolytic lignin and milled wood lignin by using TG–FTIR analysis
journal, July 2014
- Wang, Shurong; Lin, Haizhou; Ru, Bin
- Journal of Analytical and Applied Pyrolysis, Vol. 108
Mechanism study of wood lignin pyrolysis by using TG–FTIR analysis
journal, May 2008
- Liu, Qian; Wang, Shurong; Zheng, Yun
- Journal of Analytical and Applied Pyrolysis, Vol. 82, Issue 1
Quantitative and kinetic TG-FTIR investigation on three kinds of biomass pyrolysis
journal, November 2013
- Meng, Aihong; Zhou, Hui; Qin, Lin
- Journal of Analytical and Applied Pyrolysis, Vol. 104
Pyrolysis mechanism study of minimally damaged hemicellulose polymers isolated from agricultural waste straw samples
journal, August 2015
- Wang, Shurong; Ru, Bin; Dai, Gongxin
- Bioresource Technology, Vol. 190
Effect of Torrefaction on Biomass Physicochemical Characteristics and the Resulting Pyrolysis Behavior
journal, August 2015
- Ru, Bin; Wang, Shurong; Dai, Gongxin
- Energy & Fuels, Vol. 29, Issue 9
Experimental validation and CFD modeling study of biomass fast pyrolysis in fluidized-bed reactors
journal, July 2012
- Xue, Q.; Dalluge, D.; Heindel, T. J.
- Fuel, Vol. 97
BIOTC: An open-source CFD code for simulating biomass fast pyrolysis
journal, June 2014
- Xiong, Qingang; Aramideh, Soroush; Passalacqua, Alberto
- Computer Physics Communications, Vol. 185, Issue 6
Logistic distributed activation energy model – Part 1: Derivation and numerical parametric study
journal, January 2011
- Cai, Junmeng; Jin, Chuan; Yang, Songyuan
- Bioresource Technology, Vol. 102, Issue 2
Determination of Distributed Activation Energy Model Kinetic Parameters Using Simulated Annealing Optimization Method for Nonisothermal Pyrolysis of Lignin
journal, December 2008
- Mani, Thilakavathi; Murugan, Pulikesi; Mahinpey, Nader
- Industrial & Engineering Chemistry Research, Vol. 48, Issue 3
Thermogravimetric Study of Biomass Pyrolysis Kinetics. A Distributed Activation Energy Model with Prediction Tests
journal, January 2011
- Várhegyi, Gábor; Bobály, Balázs; Jakab, Emma
- Energy & Fuels, Vol. 25, Issue 1
Simulations of multiphase reactive flows in fluidized beds using in situ adaptive tabulation
journal, June 2004
- Xie, Nan; Battaglia, Francine; Fox, Rodney O.
- Combustion Theory and Modelling, Vol. 8, Issue 2
Works referencing / citing this record:
Quick estimation of f(E) in the distributed activation energy model (DAEM): an inverse problem approach
journal, July 2019
- Wang, Hongxia; Xia, Qingyuan; Liu, Hui
- Journal of Mathematical Chemistry, Vol. 57, Issue 8
Progress in understanding the four dominant intra-particle phenomena of lignocellulose pyrolysis: chemical reactions, heat transfer, mass transfer, and phase change
journal, January 2019
- Pecha, M. Brennan; Arbelaez, Jorge Ivan Montoya; Garcia-Perez, Manuel
- Green Chemistry, Vol. 21, Issue 11
Performance analysis of a heat transfer and sub-grid chemical reaction distributed activation energy model for fire simulations
journal, November 2018
- Bhargava, Abhishek; Van Hees, Patrick; Husted, Bjarne
- Journal of Fire Sciences, Vol. 37, Issue 1