Numerical analysis of particle dispersion and deposition in coal combustion using large-eddy simulation

被引:9
作者
Zhou, Min-min [1 ]
Thornock, Jeremy [1 ]
Zhan, Zhonghua [1 ]
Dai, Jinze [1 ]
Smith, Sean T. [1 ]
Smith, Philip J. [1 ]
机构
[1] Univ Utah, Dept Chem Engn, Salt Lake City, UT 84112 USA
关键词
Large-eddy simulation; Coal combustion; Particle dispersion; Multiphysics model; Stokes  number analysis; DIRECT QUADRATURE METHOD; ASH DEPOSITION; LADEN FLOWS; MODEL; BEHAVIOR; IMPACT; FLAME; LES; DEVOLATILIZATION; PROBABILITY;
D O I
10.1016/j.fuel.2021.121384
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
High-fidelity modeling provides a useful approach to investigate the particle dispersion and deposition mechanism in pulverized coal combustion. To be able to analyze these detailed mechanisms, this work couples detailed multiphysics models for poly-dispersed turbulent, particle-laden flow, particle and gas phase reaction chemistry, convective, conductive and radiative heat transfer, ash formation and deposition with a Large-Eddy Simulation (LES) approach to numerically simulate coal combustion in a downfired self-sustained oxy-fuel combustor (OFC). It is necessary to explicitly capture all but the highest frequency dynamics of the turbulence and its coupling with each of the other physical phenomena using LES. Effects of subgrid-scale unresolved turbulence on the particle motions are also analyzed by a novel Stokes number analysis. Due to the inherent relation ship between coal combustion and ash deposition, this study integrates the improved ash deposition model into the numerical simulation. Overall simulation results are compared with experimentally measured data from the OFC. The simulation and measured data for the averaged gas temperature and deposition rates agree with 5% and 28%. This study shows that high-fidelity LES coupled with other detailed multiphysics models running on a exascale computing facility can provide a good representation of complex coal combustion and deposition in a laboratoryscale furnace.
引用
收藏
页数:13
相关论文
共 87 条
[1]   A coupled CFD-population balance approach for nanoparticle synthesis in turbulent reacting flows [J].
Akroyd, Jethro ;
Smith, Alastair J. ;
Shirley, Raphael ;
McGlashan, Laurence R. ;
Kraft, Markus .
CHEMICAL ENGINEERING SCIENCE, 2011, 66 (17) :3792-3805
[2]   Large-eddy simulation of swirling particle-laden flows in a coaxial-jet combustor [J].
Apte, SV ;
Mahesh, K ;
Moin, P ;
Oefelein, JC .
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2003, 29 (08) :1311-1331
[3]   Impact, recoil and splashing of molten metal droplets [J].
Aziz, SD ;
Chandra, S .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2000, 43 (16) :2841-2857
[4]   FactSage thermochemical software and databases, 2010-2016 [J].
Bale, C. W. ;
Belisle, E. ;
Chartrand, P. ;
Decterov, S. A. ;
Eriksson, G. ;
Gheribi, A. E. ;
Hack, K. ;
Jung, I. -H. ;
Kang, Y. -B. ;
Melancon, J. ;
Pelton, A. D. ;
Petersen, S. ;
Robelin, C. ;
Sangster, J. ;
Spencer, P. ;
Van Ende, M-A. .
CALPHAD-COMPUTER COUPLING OF PHASE DIAGRAMS AND THERMOCHEMISTRY, 2016, 54 :35-53
[5]  
Baxter L.L., 2000, ASH DEPOSIT FORMATIO
[6]   ASH DEPOSITION DURING BIOMASS AND COAL COMBUSTION - A MECHANISTIC APPROACH [J].
BAXTER, LL .
BIOMASS & BIOENERGY, 1993, 4 (02) :85-102
[7]   Measurements and CFD modeling of a pulverized coal flame with emphasis on ash deposition [J].
Beckmann, A. M. ;
Mancini, M. ;
Weber, R. ;
Seebold, S. ;
Mueller, M. .
FUEL, 2016, 167 :168-179
[8]  
Beek MCv., 2001, M.C. Beek van Gas-side Fouling in Heat-recovery Boilers
[9]   A temperature-history based model for the sticking probability of impacting pulverized coal ash particles [J].
Brink, Anders ;
Lindberg, Daniel ;
Hupa, Mikko ;
de Tejada, Marta Escoto ;
Paneru, Manoj ;
Maier, Joerg ;
Scheffknecht, Guenter ;
Pranzitelli, Alessandro ;
Pourkashanian, Mohamed .
FUEL PROCESSING TECHNOLOGY, 2016, 141 :210-215
[10]   Recent advances in high-fidelity simulations of pulverized coal combustion [J].
Cai, Ruipeng ;
Luo, Kun ;
Watanabe, Hiroaki ;
Kurose, Ryoichi ;
Fan, Jianren .
ADVANCED POWDER TECHNOLOGY, 2020, 31 (07) :3062-3079