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Prediction and optimization of decoupled combustion parameters in fluidizedbed air distribution based on multi-process model integration method

2023 No. 08
297
136
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Authors:
DI Zichen
CHANG Chenggong
YANG Fengling
WU Haibin
CHENG Fangqin
Unit:
Institute of Resources and Environment Engineering, Shanxi University
School of Environment,Tsinghua University
Abstract:

Circulating fluidized bed (CFB) has been widely used for the conversion of low-grade fuels such as gangue and sludge. In re⁃cent years, with the changes in the applications and requirements, extensive adaptive modifications have been made to the CFB. Accuratesimulation and prediction of the combustion performance inside the fluidized bed can provide fundamental support for these modifications.A fluidized bed model based on thermodynamics and kinetics was constructed to address the complexity of current fluidized bed models andthe difficulty of accurately predicting multiple parameters. The influence of fuel variation on the oxygen demand, as well as the variation ofvoid fraction and temperature with bed height were calculated. By constructing the thermodynamic model, the theoretical oxygen demandsfor four types of coal gangue with carbon contents of 74.05%, 17.71%, 24.27% and 34.01% were predicted, with theoretical oxygen de⁃mand of 15.17, 4.00, 4.47 and 6.20 kg/ h, respectively. The calculated results were related to fuel type and theoretical oxygen demand,which can assist in the design of parameters such as fan power and air volume. Furthermore, by embedding 10 RCSTR dynamic modules inseries into the kinetic model, the key parameters, including void fraction, temperature, and gas distribution, for different bed layerswere calculated,with the single-point parameter error of less than 15%. The classification and prediction of different types of static indica⁃tors can be achieved by the establishment of a multi process model fusion method, providing theoretical basis and design references for reg⁃ulating parameters such as fluidized bed air flow rate and primary-secondary air inlet positions during fuel transformation.

Keywords:
Aspen Plus
circulating fluidized bed
parameter prediction
thermodynamics
kinetics
Citation format:
狄子琛(1992—),男,山西临汾人,讲师,博士。E-mail:dizichen@sxu.edu.cn
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Citation format:
DI Zichen,CHANG Chenggong,YANG Fengling,et al.Prediction and optimization of decoupled combustion parameters influidized bed air distribution based on multi-process model integration method[J].Clean Coal Technology,2023,29(8):95-101.

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  • Executive director

    China Coal Science and Industry Group Co., Ltd

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  • Editor in Chief

    XIE Qiang

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    YU Chang
    SHI Yixiang
    ZHAO Yongchun
    DUAN Linbo
    CAO Jingpei
    ZENG Jie

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