Mathematical modeling and combustion characteristic evaluation of a flue gas recirculation iron ore sintering process

被引:50
作者
Wang, Gan [1 ]
Wen, Zhi [1 ,2 ]
Lou, Guofeng [1 ]
Dou, Ruifeng [1 ]
Li, Xianwei [3 ]
Liu, Xunliang [1 ]
Su, Fuyong [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Mech Engn, Beijing 100083, Peoples R China
[2] Univ Sci & Technol Beijing, Beijing Key Lab Energy Saving & Emiss Reduct Met, Beijing 100083, Peoples R China
[3] Res Inst Baoshan Iron & Steel Co Ltd, Shanghai 201900, Peoples R China
基金
中国国家自然科学基金;
关键词
Flue gas recirculation; Iron ore sintering; Mathematical modeling; Sinter pot test; Combustion characteristics; PROCESS SIMULATION; BED; PROPAGATION; PARAMETERS; REDUCTION; IGNITION; BEHAVIOR; OXIDES; FRONT; FLOW;
D O I
10.1016/j.ijheatmasstransfer.2016.02.087
中图分类号
O414.1 [热力学];
学科分类号
摘要
Flue gas recirculation sintering (FGRS) technology has been applied for two decades with the aim of reducing pollutant emissions. Compared with the conventional sintering (CS), the changes of input gas conditions may influence the bed combustion process greatly. Mathematical models have been developed to predict sintering behavior quantitatively, but few of the previous work focused on FGRS process. In this study, a multiphase theory-based mathematical model is established. This model considers nine kinds of major physicochemical reactions, in which six modes of gaseous reactions make it more comprehensive and accurate to model FGRS process. Heat transfer within/between different solid and gas phases are modeled in better manners. Geometric changes caused by reactive-factors are modeled in simple terms. Sub-models are available to simulate the effects of the temperature, gas supply, composition and content of recirculated gas on combustion characteristics in the sintering bed. Good agreements between simulated and measured results have been obtained from contrasting to six sinter pot tests based on FGRS technology. Four combustion parameters are selected to evaluate quantitatively the advantages and potential problems of FGRS technology. Results show that the flatter maximum temperature (MaxT) profile for FGRS compared with that for CS implies a stronger tumble strength of the sintered ore. The broader MaxT and combustion zone thickness (CZT) curve indicate a higher degree of melt fraction, together with a lower FFS and productivity. To better investigation, further parameter simulation and process optimization of FGRS technology is necessary. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:964 / 974
页数:11
相关论文
共 40 条
[31]   ANALYSIS OF SINTERING PROCESS BY THE MATHEMATICAL-MODEL [J].
SHIBATA, J .
MATHEMATICAL AND COMPUTER MODELLING, 1988, 11 :956-961
[32]   The combustion of simulated waste particles in a fixed bed [J].
Shin, D ;
Choi, S .
COMBUSTION AND FLAME, 2000, 121 (1-2) :167-180
[33]   Ignition and propagation of a reaction front in cross-current bed combustion of wet biofuels [J].
Thunman, H ;
Leckner, B .
FUEL, 2001, 80 (04) :473-481
[34]  
Wang G., 2015, HEAT TRANSFER ASIAN
[35]   Development of a 3-d sinter process mathematical simulation model [J].
Yamaoka, H ;
Kawaguchi, T .
ISIJ INTERNATIONAL, 2005, 45 (04) :522-531
[36]   Mathematical model of thermal processes in an iron ore sintering bed [J].
Yang, W ;
Ryu, C ;
Choi, SM ;
Choi, ES ;
Ri, DW ;
Huh, W .
METALS AND MATERIALS INTERNATIONAL, 2004, 10 (05) :493-500
[37]   Modeling of combustion and heat transfer in an iron ore sintering bed with considerations of multiple solid phases [J].
Yang, W ;
Ryu, C ;
Choi, SM ;
Choi, ES ;
Lee, D ;
Huh, W .
ISIJ INTERNATIONAL, 2004, 44 (03) :492-499
[38]   Combustion characteristics in an iron ore sintering bed - evaluation of fuel substitution [J].
Yang, Won ;
Choi, Angmin ;
Choi, Eung Soo ;
Ri, Deog Won ;
Kim, Sungman .
COMBUSTION AND FLAME, 2006, 145 (03) :447-463
[39]   Modelling fuel combustion in iron ore sintering [J].
Zhao, Jia P. ;
Loo, Chin E. ;
Dukino, Rodney D. .
COMBUSTION AND FLAME, 2015, 162 (04) :1019-1034
[40]   Numerical Modeling of the Iron Ore Sintering Process [J].
Zhou, Hao ;
Zhao, Jia Pei ;
Loo, Chin Eng ;
Ellis, Benjamin George ;
Cen, Ke Fa .
ISIJ INTERNATIONAL, 2012, 52 (09) :1550-1558