Coarse grained computational fluid dynamic simulation of sands and biomass fluidization with a hybrid drag

Lu, Liqiang; Gao, Xi; Shahnam, Mehrdad; Rogers, William A.

doi:10.1002/aic.16867

Title: Coarse grained computational fluid dynamic simulation of sands and biomass fluidization with a hybrid drag

Journal Article · 19 November 2019 · AIChE Journal

DOI: https://doi.org/10.1002/aic.16867 · OSTI ID:1607761

^[1];

^[2]; Shahnam, Mehrdad ^[2]; Rogers, William A. ^[2]

National Energy Technology Lab. (NETL), Morgantown, WV (United States); West Virginia University Research Corporation, Morgantown, WV (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States)

We report the bubbling fluidized bed reactor is widely used in fast pyrolysis of biomass. Discrete simulation of this reactor is challenging due to many sand particles and lack of accurate drag corrections accounting for the interaction of two different solid particles with different properties. In this research, the computational cost is reduced by using the coarse-grained computational fluid dynamic-discrete element method, where many sand particles are lumped into a larger numerical parcel. The Syamlal–O'Brien drag model is used for sand, while Ganser correction coupled with Gidaspow model is used for the nonspherical biomass particles. This hybrid approach shows superior behavior over other drag models using pressure drops as a benchmark. The predicted bed height and pressure fluctuating frequencies compare well with experiment. Finally, the mixing of biomass is close to perfect if the superficial velocity is larger than four times the minimum fluidization velocity.

View Accepted Manuscript (DOE)

View Accepted Manuscript (Publisher)

Cite

Export

Save

Research Organization:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation and Fuels. Bioenergy Technologies Office (BETO)

OSTI ID:: 1607761

Alternate ID(s):: OSTI ID: 1576650

Journal Information:: AIChE Journal, Vol. 66, Issue 4; ISSN 0001-1541

Publisher:: American Institute of Chemical EngineersCopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 23 works

Citation information provided by
Web of Science

References (39)

Open-source MFIX-DEM software for gas–solids flows: Part I—Verification studies Garg, Rahul; Galvin, Janine; Li, Tingwen Powder Technology, Vol. 220 https://doi.org/10.1016/j.powtec.2011.09.019	journal	April 2012
Validation Studies on Filtered Model Equations for Gas-Particle Flows in Risers Igci, Yesim; Pannala, Sreekanth; Benyahia, Sofiane Industrial & Engineering Chemistry Research, Vol. 51, Issue 4 https://doi.org/10.1021/ie2007278	journal	July 2011
Development and validation of an enhanced filtered drag model for simulating gas-solid fluidization of Geldart A particles in all flow regimes Gao, Xi; Li, Tingwen; Sarkar, Avik Chemical Engineering Science, Vol. 184 https://doi.org/10.1016/j.ces.2018.03.038	journal	July 2018
Variation of Geldart classification in MFM simulation of biomass fast pyrolysis considering the decrease of particle density and diameter Zhong, Hanbin; Xu, Fei; Zhang, Juntao Renewable Energy, Vol. 135 https://doi.org/10.1016/j.renene.2018.11.097	journal	May 2019
Distribution of large biomass particles in a sand-biomass fluidized bed: Experiments and modeling Fotovat, Farzam; Chaouki, Jamal; Bergthorson, Jeffrey AIChE Journal, Vol. 60, Issue 3 https://doi.org/10.1002/aic.14337	journal	January 2014
A CFD model for biomass fast pyrolysis in fluidized-bed reactors Xue, Q.; Heindel, T. J.; Fox, R. O. Chemical Engineering Science, Vol. 66, Issue 11 https://doi.org/10.1016/j.ces.2011.03.010	journal	June 2011
Numerical simulation of the gas-solid flow in a fluidized bed by combining discrete particle method with computational fluid dynamics Xu, B. H.; Yu, A. B. Chemical Engineering Science, Vol. 52, Issue 16 https://doi.org/10.1016/S0009-2509(97)00081-X	journal	August 1997
An overview of Eulerian CFD modeling and simulation of non-spherical biomass particles Ullah, Atta; Hong, Kun; Gao, Yanan Renewable Energy, Vol. 141 https://doi.org/10.1016/j.renene.2019.04.074	journal	October 2019
Integrated Particle- and Reactor-Scale Simulation of Pine Pyrolysis in a Fluidized Bed Pecha, M. Brennan; Ramirez, Emilio; Wiggins, Gavin M. Energy & Fuels, Vol. 32, Issue 10 https://doi.org/10.1021/acs.energyfuels.8b02309	journal	September 2018
Extension of a coarse grained particle method to simulate heat transfer in fluidized beds Lu, Liqiang; Morris, Aaron; Li, Tingwen International Journal of Heat and Mass Transfer, Vol. 111 https://doi.org/10.1016/j.ijheatmasstransfer.2017.04.040	journal	August 2017
Discrete particle simulation of two-dimensional fluidized bed Tsuji, Y.; Kawaguchi, T.; Tanaka, T. Powder Technology, Vol. 77, Issue 1 https://doi.org/10.1016/0032-5910(93)85010-7	journal	October 1993
CFD studies on biomass gasification in a pilot-scale dual fluidized-bed system Liu, Hui; Cattolica, Robert J.; Seiser, Reinhard International Journal of Hydrogen Energy, Vol. 41, Issue 28 https://doi.org/10.1016/j.ijhydene.2016.04.205	journal	July 2016
Biomass steam gasification in bubbling fluidized bed for higher-H2 syngas: CFD simulation with coarse grain model Qi, Tian; Lei, Tingzhou; Yan, Beibei International Journal of Hydrogen Energy, Vol. 44, Issue 13 https://doi.org/10.1016/j.ijhydene.2019.01.146	journal	March 2019
Open-source MFIX-DEM software for gas-solids flows: Part II — Validation studies Li, Tingwen; Garg, Rahul; Galvin, Janine Powder Technology, Vol. 220 https://doi.org/10.1016/j.powtec.2011.09.020	journal	April 2012
A grid-independent EMMS/bubbling drag model for bubbling and turbulent fluidization Luo, Hao; Lu, Bona; Zhang, Jingyuan Chemical Engineering Journal, Vol. 326 https://doi.org/10.1016/j.cej.2017.04.145	journal	October 2017
EMMS-based discrete particle method (EMMS–DPM) for simulation of gas–solid flows Lu, Liqiang; Xu, Ji; Ge, Wei Chemical Engineering Science, Vol. 120 https://doi.org/10.1016/j.ces.2014.08.004	journal	December 2014
Predictive single-step kinetic model of biomass devolatilization for CFD applications: A comparison study of empirical correlations (EC), artificial neural networks (ANN) and random forest (RF) Xing, Jiangkuan; Wang, Haiou; Luo, Kun Renewable Energy, Vol. 136 https://doi.org/10.1016/j.renene.2018.12.088	journal	June 2019
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
An EMMS-based multi-fluid model (EFM) for heterogeneous gas–solid riser flows: Part I. Formulation of structure-dependent conservation equations Hong, Kun; Wang, Wei; Zhou, Quan Chemical Engineering Science, Vol. 75 https://doi.org/10.1016/j.ces.2012.03.022	journal	June 2012
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
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
Numerical investigation and comparison of coarse grain CFD – DEM and TFM in the case of a 1 MW th fluidized bed carbonator simulation Nikolopoulos, A.; Stroh, A.; Zeneli, M. Chemical Engineering Science, Vol. 163 https://doi.org/10.1016/j.ces.2017.01.052	journal	May 2017
Major trends and roadblocks in CFD-aided process intensification of biomass pyrolysis Xiong, Qingang; Xu, Fei; Pan, Yaoyu Chemical Engineering and Processing - Process Intensification, Vol. 127 https://doi.org/10.1016/j.cep.2018.04.005	journal	May 2018
Analyzing the fluidization of a gas-sand-biomass mixture using CFD techniques Sant'Anna, Mikele Cândida Sousa; Cruz, Wenna Raissa dos Santos; Silva, Gabriel Francisco da Powder Technology, Vol. 316 https://doi.org/10.1016/j.powtec.2016.12.023	journal	July 2017
Coarse-Grained-Particle Method for Simulation of Liquid–Solids Reacting Flows Lu, Liqiang; Yoo, Kisoo; Benyahia, Sofiane Industrial & Engineering Chemistry Research, Vol. 55, Issue 39 https://doi.org/10.1021/acs.iecr.6b02688	journal	September 2016
Sand-assisted fluidization of large cylindrical and spherical biomass particles: Experiments and simulation Fotovat, Farzam; Ansart, Renaud; Hemati, Mehrdji Chemical Engineering Science, Vol. 126 https://doi.org/10.1016/j.ces.2014.12.022	journal	April 2015
Verification and validation of a coarse grain model of the DEM in a bubbling fluidized bed Sakai, Mikio; Abe, Minami; Shigeto, Yusuke Chemical Engineering Journal, Vol. 244 https://doi.org/10.1016/j.cej.2014.01.029	journal	May 2014
Modeling the Multiphase Flow in Hydrocyclones Using the Coarse-Grained Volume of Fluid—Discrete Element Method and Mixture-Discrete Element Method Approaches Ji, Li; Chu, Kaiwei; Kuang, Shibo Industrial & Engineering Chemistry Research, Vol. 57, Issue 29 https://doi.org/10.1021/acs.iecr.8b01699	journal	June 2018
Simulation of Heterogeneous Structure in a Circulating Fluidized-Bed Riser by Combining the Two-Fluid Model with the EMMS Approach Yang, Ning; Wang, Wei; Ge, Wei Industrial & Engineering Chemistry Research, Vol. 43, Issue 18 https://doi.org/10.1021/ie049773c	journal	September 2004
An effective three-marker drag model via sub-grid modeling for turbulent fluidization Zhu, Li-Tao; Liu, Yuan-Xing; Luo, Zheng-Hong Chemical Engineering Science, Vol. 192 https://doi.org/10.1016/j.ces.2018.08.026	journal	December 2018
Detailed CFD modelling of fast pyrolysis of different biomass types in fluidized bed reactors Eri, Qitai; Wang, Baolu; Peng, Jing The Canadian Journal of Chemical Engineering, Vol. 96, Issue 9 https://doi.org/10.1002/cjce.23180	journal	April 2018
Computational Fluid Dynamics/Discrete Element Method Investigation on the Biomass Fast Pyrolysis: The Influences of Shrinkage Patterns and Operating Parameters Hu, Chenshu; Luo, Kun; Wang, Shuai Industrial & Engineering Chemistry Research, Vol. 58, Issue 3 https://doi.org/10.1021/acs.iecr.8b05279	journal	December 2018
CFD and experimental studies on a circulating fluidised bed reactor for biomass gasification Yu, Xi; Blanco, Paula H.; Makkawi, Yassir Chemical Engineering and Processing - Process Intensification, Vol. 130 https://doi.org/10.1016/j.cep.2018.06.018	journal	August 2018
A rational approach to drag prediction of spherical and nonspherical particles Ganser, Gary H. Powder Technology, Vol. 77, Issue 2 https://doi.org/10.1016/0032-5910(93)80051-B	journal	November 1993
Influences of operating parameters on the fluidized bed coal gasification process: A coarse-grained CFD-DEM study Hu, Chenshu; Luo, Kun; Wang, Shuai Chemical Engineering Science, Vol. 195 https://doi.org/10.1016/j.ces.2018.10.015	journal	February 2019
Fluidization of biomass particles: A review of experimental multiphase flow aspects Cui, Heping; Grace, John R. Chemical Engineering Science, Vol. 62, Issue 1-2 https://doi.org/10.1016/j.ces.2006.08.006	journal	January 2007
CFD–DEM simulation of biomass gasification with steam in a fluidized bed reactor Ku, Xiaoke; Li, Tian; Løvås, Terese Chemical Engineering Science, Vol. 122 https://doi.org/10.1016/j.ces.2014.08.045	journal	January 2015
Using stereo XPTV to determine cylindrical particle distribution and velocity in a binary fluidized bed Chen, Xi; Zhong, Wenqi; Heindel, Theodore J. AIChE Journal https://doi.org/10.1002/aic.16485	journal	December 2018
Computational Models For Polydisperse Particulate And Multiphase Systems Fox, R. O. Zenodo https://doi.org/10.5281/zenodo.1323612	interactiveresource	January 2017

Similar Records

Experimental and numerical investigation of sands and Geldart A biomass co-fluidization

Journal Article · 2020 · AIChE Journal · OSTI ID:1635630

Lu, Liqiang; Yu, Jia; Gao, Xi; +3 more

Assessment of different coarse graining strategies to simulate polydisperse gas-solids flow

Journal Article · 2018 · Chemical Engineering Science · OSTI ID:1461078

Lu, Liqiang; Xu, Yupeng; Li, Tingwen; +1 more

Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation

Journal Article · 2018 · AIChE Journal · OSTI ID:1419580

Lu, Liqiang; Benyahia, Sofiane

Related Subjects

09 BIOMASS FUELS

Title: Coarse grained computational fluid dynamic simulation of sands and biomass fluidization with a hybrid drag

Citation Formats

References (39)

Similar Records

Related Subjects