期刊论文详细信息
FUEL 卷:288
Modeling and experimental investigation on the fuel particle heat-up and devolatilization behavior in a fluidized bed
Article
Ke, Xiwei1  Engblom, Markus2  Cheng, Lu1  Chen, Lujian1  Cai, Runxia1  Hupa, Leena2  Lyu, Junfu1  Yang, Hairui1  Zhang, Man1 
[1] Tsinghua Univ, Dept Energy & Power Engn, Minist Educ, Key Lab Thermal Sci & Power Engn, Beijing 100089, Peoples R China
[2] Abo Akad Univ, Proc Chem Ctr, Biskopsgatan 8, Turku 20500, Finland
关键词: Devolatilization;    Fluidized bed;    Modeling;    Particle size;    Temperature;   
DOI  :  10.1016/j.fuel.2020.119794
来源: Elsevier
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【 摘 要 】

The proper understanding and description of fuel devolatilization behavior in a fluidized bed (FB) is important to the FB reactor design and modeling. Aiming at this issue, two different mathematical models, isothermal (0D) particle model and one-dimensional (1D) particle model, have been developed. The particle heat transfer is solved simultaneously using an iterative approach with the existing nitrogen containing chemical percolation devolatilization (CPD-NLG) model. Experiments in a special designed FB reactor were conducted to help validate both the temperature solver and modifications to the fast nitrogen release chemical kinetic parameters. The results show that when the bed temperature is higher or coal size become smaller, the final volatiles yield increases and the nitrogen remaining in char decreases. Under all conditions given in the present study, the final nitrogen content of char is always lower than that of parent coal. The yields of some volatile species are also affected by the coal size and bed temperature. In addition, simulation analysis reveals that the deviation between the results of these two models cannot be ignored if the particle size exceeds a specific value (transition size), namely, the large particle is improper to be described as isothermal during heat-up, while this transition size decreases with the increase of bed temperature. A selection principle of these two models is proposed for balancing the calculation precision and computational time. The particle model developed in this work makes it possible to carry out further FB reactor simulations with the devolatilization process more consistent with laboratory data.

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