Coupling DAEM and CFD for simulating biomass fast pyrolysis in fluidized beds

Xiong, Qingang; Zhang, Jingchao; Wiggins, Gavin; Daw, C. Stuart; Xu, Fei

doi:10.1016/j.jaap.2015.11.015

Coupling DAEM and CFD for simulating biomass fast pyrolysis in fluidized beds

Journal Article · Thu Dec 03 00:00:00 EST 2015 · Journal of Analytical and Applied Pyrolysis

DOI:https://doi.org/10.1016/j.jaap.2015.11.015· OSTI ID:1238742

Xiong, Qingang ^[1]; Zhang, Jingchao ^[2]; Wiggins, Gavin ^[1]; Daw, C. Stuart ^[1]; Xu, Fei ^[3]

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)

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.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1238742

Alternate ID(s):: OSTI ID: 1246545

Journal Information:: Journal of Analytical and Applied Pyrolysis, Journal Name: Journal of Analytical and Applied Pyrolysis Journal Issue: C Vol. 117; ISSN 0165-2370

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (48)

Modeling the thermochemical degradation of biomass inside a fast pyrolysis fluidized bed reactor Bruchmüller, J.; van Wachem, B. G. M.; Gu, S. AIChE Journal, Vol. 58, Issue 10 https://doi.org/10.1002/aic.13705	journal	December 2011
Numerical study of fast pyrolysis of woody biomass in a gravity-driven reactor Choi, Hang Seok; Choi, Yeon Seok; Kim, Seock Joon Environmental Progress & Sustainable Energy, Vol. 28, Issue 3 https://doi.org/10.1002/ep.10389	journal	October 2009
Assessment of devolatilization schemes in predicting product yields of biomass fast pyrolysis Xiong, Qingang; Aramideh, Soroush; Kong, Song-Charng Environmental Progress & Sustainable Energy, Vol. 33, Issue 3 https://doi.org/10.1002/ep.11922	journal	January 2014
Fast pyrolysis of an ensemble of biomass particles in a fluidized bed Rabinovich, O. S.; Borodulya, V. A.; Vinogradov, L. M. Journal of Engineering Physics and Thermophysics, Vol. 83, Issue 4 https://doi.org/10.1007/s10891-010-0393-4	journal	September 2010
Prediction of thermal behavior of pyrolyzed wet biomass by means of model with inner wood structure Polesek-Karczewska, Sylwia; Kardaś, Dariusz Journal of Thermal Science, Vol. 24, Issue 1 https://doi.org/10.1007/s11630-015-0759-1	journal	January 2015
Development of a semi-empirical model for pyrolysis of an annular sawdust bed Ravi, M. R.; Jhalani, Anurag; Sinha, Sanjiv Journal of Analytical and Applied Pyrolysis, Vol. 71, Issue 1 https://doi.org/10.1016/S0165-2370(03)00102-5	journal	March 2004
Analysis of an annular finned pyrolyser-II Batra, Dheerendra; Rao, T. Rajeswara Energy Conversion and Management, Vol. 41, Issue 6 https://doi.org/10.1016/S0196-8904(99)00126-0	journal	April 2000
Modeling of dense gas–solid reactive mixtures applied to biomass pyrolysis in a fluidized bed Lathouwers, D.; Bellan, J. International Journal of Multiphase Flow, Vol. 27, Issue 12 https://doi.org/10.1016/S0301-9322(01)00059-3	journal	December 2001
CFD modeling of space-time evolution of fast pyrolysis products in a bench-scale fluidized-bed reactor Boateng, A. A.; Mtui, P. L. Applied Thermal Engineering, Vol. 33-34 https://doi.org/10.1016/j.applthermaleng.2011.09.034	journal	February 2012
An Euler–Euler approach to modeling biomass fast pyrolysis in fluidized-bed reactors – Focusing on the gas phase Mellin, Pelle; Zhang, Qinglin; Kantarelis, Efthymios Applied Thermal Engineering, Vol. 58, Issue 1-2 https://doi.org/10.1016/j.applthermaleng.2013.04.054	journal	September 2013
A CFD approach on the effect of particle size on char entrainment in bubbling fluidised bed reactors Papadikis, K.; Gu, S.; Bridgwater, A. V. Biomass and Bioenergy, Vol. 34, Issue 1 https://doi.org/10.1016/j.biombioe.2009.09.007	journal	January 2010
Experimental and numerical study of biomass flash pyrolysis in an entrained flow reactor Sun, Shaozeng; Tian, Hongming; Zhao, Yijun Bioresource Technology, Vol. 101, Issue 10 https://doi.org/10.1016/j.biortech.2009.12.092	journal	May 2010
Logistic distributed activation energy model – Part 1: Derivation and numerical parametric study Cai, Junmeng; Jin, Chuan; Yang, Songyuan Bioresource Technology, Vol. 102, Issue 2 https://doi.org/10.1016/j.biortech.2010.08.079	journal	January 2011
Pyrolysis mechanism study of minimally damaged hemicellulose polymers isolated from agricultural waste straw samples Wang, Shurong; Ru, Bin; Dai, Gongxin Bioresource Technology, Vol. 190 https://doi.org/10.1016/j.biortech.2015.04.098	journal	August 2015
Validation of kinetic parameter values for prediction of pyrolysis behaviour of corn stalks in a horizontal entrained-flow reactor Xiu, Shuangning; Wang, Nana; Yi, Weiming Biosystems Engineering, Vol. 100, Issue 1 https://doi.org/10.1016/j.biosystemseng.2008.01.006	journal	May 2008
CFD modelling of the fast pyrolysis of biomass in fluidised bed reactors: Modelling the impact of biomass shrinkage Papadikis, K.; Gu, S.; Bridgwater, A. V. Chemical Engineering Journal, Vol. 149, Issue 1-3 https://doi.org/10.1016/j.cej.2009.01.036	journal	July 2009
Development of a generalized numerical framework for simulating biomass fast pyrolysis in fluidized-bed reactors Xiong, Qingang; Kong, Song-Charng; Passalacqua, Alberto Chemical Engineering Science, Vol. 99 https://doi.org/10.1016/j.ces.2013.06.017	journal	August 2013
A numerical study on biomass fast pyrolysis process: A comparison between full lumped modeling and hybrid modeling combined with CFD Lee, Yu Ri; Choi, Hang Seok; Park, Hoon Chae Computers & Chemical Engineering, Vol. 82 https://doi.org/10.1016/j.compchemeng.2015.07.007	journal	November 2015
BIOTC: An open-source CFD code for simulating biomass fast pyrolysis Xiong, Qingang; Aramideh, Soroush; Passalacqua, Alberto Computer Physics Communications, Vol. 185, Issue 6 https://doi.org/10.1016/j.cpc.2014.02.012	journal	June 2014
Pyrolysis in porous media: Part 1. Numerical model and parametric study Romagnosi, L.; Gascoin, N.; El-Tabach, E. Energy Conversion and Management, Vol. 68 https://doi.org/10.1016/j.enconman.2012.12.023	journal	April 2013
Evaluation of global biomass devolatilization kinetics in a drop tube reactor with CFD aided experiments Simone, Marco; Biagini, Enrico; Galletti, Chiara Fuel, Vol. 88, Issue 10 https://doi.org/10.1016/j.fuel.2009.04.032	journal	October 2009
Experimental validation and CFD modeling study of biomass fast pyrolysis in fluidized-bed reactors Xue, Q.; Dalluge, D.; Heindel, T. J. Fuel, Vol. 97 https://doi.org/10.1016/j.fuel.2012.02.065	journal	July 2012
Computational fluid dynamics modeling of biomass fast pyrolysis in a fluidized bed reactor, using a comprehensive chemistry scheme Mellin, Pelle; Kantarelis, Efthymios; Yang, Weihong Fuel, Vol. 117 https://doi.org/10.1016/j.fuel.2013.09.009	journal	January 2014
One dimensional steady-state circulating fluidized-bed reactor model for biomass fast pyrolysis Trendewicz, Anna; Braun, Robert; Dutta, Abhijit Fuel, Vol. 133 https://doi.org/10.1016/j.fuel.2014.05.009	journal	October 2014
Characterization of an entrained flow reactor for pyrolysis of coal and biomass at higher temperatures Tchapda, Aime H.; Pisupati, Sarma V. Fuel, Vol. 156 https://doi.org/10.1016/j.fuel.2015.04.015	journal	September 2015
Numerical simulation of biomass fast pyrolysis in an auger reactor Aramideh, Soroush; Xiong, Qingang; Kong, Song-Charng Fuel, Vol. 156 https://doi.org/10.1016/j.fuel.2015.04.038	journal	September 2015
Computational modelling of the impact of particle size to the heat transfer coefficient between biomass particles and a fluidised bed Papadikis, K.; Gu, S.; Bridgwater, A. V. Fuel Processing Technology, Vol. 91, Issue 1 https://doi.org/10.1016/j.fuproc.2009.08.016	journal	January 2010
3D simulation of the effects of sphericity on char entrainment in fluidised beds Papadikis, K.; Gu, S.; Bridgwater, A. V. Fuel Processing Technology, Vol. 91, Issue 7 https://doi.org/10.1016/j.fuproc.2010.02.008	journal	July 2010
A CFD study of biomass pyrolysis in a downer reactor equipped with a novel gas–solid separator-II thermochemical performance and products Yu, Xi; Hassan, Mohamed; Ocone, Raffaella Fuel Processing Technology, Vol. 133 https://doi.org/10.1016/j.fuproc.2015.01.002	journal	May 2015
Mechanism study of wood lignin pyrolysis by using TG–FTIR analysis Liu, Qian; Wang, Shurong; Zheng, Yun Journal of Analytical and Applied Pyrolysis, Vol. 82, Issue 1 https://doi.org/10.1016/j.jaap.2008.03.007	journal	May 2008
Biomass pyrolysis: Kinetic modelling and experimental validation under high temperature and flash heating rate conditions Dupont, Capucine; Chen, Li; Cances, Julien Journal of Analytical and Applied Pyrolysis, Vol. 85, Issue 1-2 https://doi.org/10.1016/j.jaap.2008.11.034	journal	May 2009
Quantitative and kinetic TG-FTIR investigation on three kinds of biomass pyrolysis Meng, Aihong; Zhou, Hui; Qin, Lin Journal of Analytical and Applied Pyrolysis, Vol. 104 https://doi.org/10.1016/j.jaap.2013.09.013	journal	November 2013
Comparison of the pyrolysis behavior of pyrolytic lignin and milled wood lignin by using TG–FTIR analysis Wang, Shurong; Lin, Haizhou; Ru, Bin Journal of Analytical and Applied Pyrolysis, Vol. 108 https://doi.org/10.1016/j.jaap.2014.05.014	journal	July 2014
Delay of biomass pyrolysis by gas–particle interaction Russo, E.; Kuerten, J. G. M.; Geurts, B. J. Journal of Analytical and Applied Pyrolysis, Vol. 110 https://doi.org/10.1016/j.jaap.2014.08.011	journal	November 2014
Modeling effects of interphase transport coefficients on biomass pyrolysis in fluidized beds Xiong, Qingang; Kong, Song-Charng Powder Technology, Vol. 262 https://doi.org/10.1016/j.powtec.2014.04.062	journal	August 2014
A model of wood flash pyrolysis in fluidized bed reactor Luo, Zhongyang; Wang, Shurong; Cen, Kefa Renewable Energy, Vol. 30, Issue 3 https://doi.org/10.1016/j.renene.2004.03.019	journal	March 2005
An overview of distributed activation energy model and its application in the pyrolysis of lignocellulosic biomass Cai, Junmeng; Wu, Weixuan; Liu, Ronghou Renewable and Sustainable Energy Reviews, Vol. 36 https://doi.org/10.1016/j.rser.2014.04.052	journal	August 2014
Effect of Torrefaction on Biomass Physicochemical Characteristics and the Resulting Pyrolysis Behavior Ru, Bin; Wang, Shurong; Dai, Gongxin Energy & Fuels, Vol. 29, Issue 9 https://doi.org/10.1021/acs.energyfuels.5b01263	journal	August 2015
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 Mellin, Pelle; Yu, Xi; Yang, Weihong Industrial & Engineering Chemistry Research, Vol. 54, Issue 33 https://doi.org/10.1021/acs.iecr.5b02164	journal	August 2015
Kinetics of volatile product evolution in coal pyrolysis: experiment and theory Serio, Michael A.; Hamblen, David G.; Markham, James R. Energy & Fuels, Vol. 1, Issue 2 https://doi.org/10.1021/ef00002a002	journal	March 1987
Design and Characterization of an Entrained Flow Reactor for the Study of Biomass Pyrolysis Chemistry at High Heating Rates Brown, Alexander L.; Dayton, David C.; Nimlos, Mark R. Energy & Fuels, Vol. 15, Issue 5 https://doi.org/10.1021/ef010083k	journal	September 2001
Thermogravimetric Study of Biomass Pyrolysis Kinetics. A Distributed Activation Energy Model with Prediction Tests Várhegyi, Gábor; Bobály, Balázs; Jakab, Emma Energy & Fuels, Vol. 25, Issue 1 https://doi.org/10.1021/ef101079r	journal	January 2011
Modeling Effects of Operating Conditions on Biomass Fast Pyrolysis in Bubbling Fluidized Bed Reactors Xiong, Qingang; Aramideh, Soroush; Kong, Song-Charng Energy & Fuels, Vol. 27, Issue 10 https://doi.org/10.1021/ef4012966	journal	September 2013
Numerical Comparison of the Drag Models of Granular Flows Applied to the Fast Pyrolysis of Biomass Papadikis, K.; Gu, S.; Fivga, A. Energy & Fuels, Vol. 24, Issue 3 https://doi.org/10.1021/ef901497b	journal	February 2010
Computational Modeling of Biomass Thermochemical Conversion in Fluidized Beds: Particle Density Variation and Size Distribution Xue, Qingluan; Fox, Rodney O. Industrial & Engineering Chemistry Research, Vol. 54, Issue 16 https://doi.org/10.1021/ie503806p	journal	November 2014
Determination of Distributed Activation Energy Model Kinetic Parameters Using Simulated Annealing Optimization Method for Nonisothermal Pyrolysis of Lignin Mani, Thilakavathi; Murugan, Pulikesi; Mahinpey, Nader Industrial & Engineering Chemistry Research, Vol. 48, Issue 3 https://doi.org/10.1021/ie8013605	journal	December 2008
A Generalized Biomass Pyrolysis Model Based on Superimposed Cellulose, Hemicelluloseand Liqnin Kinetics Miller, R. S.; Bellan, J. Combustion Science and Technology, Vol. 126, Issue 1-6 https://doi.org/10.1080/00102209708935670	journal	July 1997
Simulations of multiphase reactive flows in fluidized beds using in situ adaptive tabulation Xie, Nan; Battaglia, Francine; Fox, Rodney O. Combustion Theory and Modelling, Vol. 8, Issue 2 https://doi.org/10.1088/1364-7830/8/2/001	journal	June 2004

Cited By (3)

Quick estimation of f(E) in the distributed activation energy model (DAEM): an inverse problem approach Wang, Hongxia; Xia, Qingyuan; Liu, Hui Journal of Mathematical Chemistry, Vol. 57, Issue 8 https://doi.org/10.1007/s10910-019-01044-x	journal	July 2019
Progress in understanding the four dominant intra-particle phenomena of lignocellulose pyrolysis: chemical reactions, heat transfer, mass transfer, and phase change Pecha, M. Brennan; Arbelaez, Jorge Ivan Montoya; Garcia-Perez, Manuel Green Chemistry, Vol. 21, Issue 11 https://doi.org/10.1039/c9gc00585d	journal	January 2019
Performance analysis of a heat transfer and sub-grid chemical reaction distributed activation energy model for fire simulations Bhargava, Abhishek; Van Hees, Patrick; Husted, Bjarne Journal of Fire Sciences, Vol. 37, Issue 1 https://doi.org/10.1177/0734904118808009	journal	November 2018

Similar Records

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

Journal Article · Thu Oct 08 20:00:00 EDT 2015 · Fuel · OSTI ID:1238738

CFD Simulation of Biomass Pyrolysis Vapor Upgrading over a Pt/TiO₂ Catalyst in Fixed and Moving Beds

Technical Report · Fri Sep 09 00:00:00 EDT 2022 · OSTI ID:1886683

Related Subjects

09 BIOMASS FUELS
97 MATHEMATICS AND COMPUTING

Coupling DAEM and CFD for simulating biomass fast pyrolysis in fluidized beds

Citation Formats

References (48)

Cited By (3)

Similar Records

Related Subjects