1. 1 煤燃烧与低碳利用全国重点实验室(华中科技大学),湖北省,武汉市,430074
2. 2 武汉理工大学安全科学与应急管理学院,湖北省,武汉市,430070
纸质出版:2026
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苏现强, 陈鑫科, 方庆艳, 等. 炉排炉燃料床阻力测量及气固两相非解耦建模研究[J]. 中国电机工程学报, 2026,46(11):4618-4630.
SU Xianqiang, CHEN Xinke, FANG Qingyan, et al. Measurement of Resistance in Fuel Bed and Non-decoupled Modeling of Grate-firing Boiler[J]. 2026, 46(11): 4618-4630.
苏现强, 陈鑫科, 方庆艳, 等. 炉排炉燃料床阻力测量及气固两相非解耦建模研究[J]. 中国电机工程学报, 2026,46(11):4618-4630. DOI: 10.13334/j.0258-8013.pcsee.242858.
SU Xianqiang, CHEN Xinke, FANG Qingyan, et al. Measurement of Resistance in Fuel Bed and Non-decoupled Modeling of Grate-firing Boiler[J]. 2026, 46(11): 4618-4630. DOI: 10.13334/j.0258-8013.pcsee.242858.
为准确表征气体流经不同材质及不同堆积厚度(210、420和635 mm)的燃料床时的流动阻力特性,该文搭建多孔介质流动特性测量实验平台,并对数据进行非线性拟合计算粘性和惯性阻力系数。基于此,结合多孔介质和离散相(discrete phase model,DPM)模型,并充分考虑燃用生物质形状和尺寸的非均匀性,建立生物质炉排炉燃烧的三维非解耦模型。根据现场实测数据,定量研究流动阻力对模型预测精度的影响。结果表明:1)随着气体流速增大、床层高度升高或堆积孔隙率减小,流动阻力均会愈发显著。以气体流速0.7 m/s为例,不同高度堆层产生的压降分别为1 289、2 614和3 658 Pa;2)燃料床产生的流动阻力会影响气体的逸出速度和停留时间,进而显著影响模型的预测精度。充分考虑该阻力可将出口O2浓度的计算误差由21.4%降至4.2%;3)非解耦模型实现了气固两相动量交换的双向耦合及传热传质数据的实时交互,能完整地预测炉内气固两相的高温火焰及炉渣和飞灰颗粒的运动规律。该研究结果可为高精度预测炉排炉气固耦合燃烧过程提供一定方法支撑。
To accurately characterize the flow resistance of gas passing through fuel beds with different materials and varying bed depths (i.e.
210
420
and 635 mm)
this paper establishes an experimental bench to describe the flow characteristics within porous media. Nonlinear fitting is performed on the experimental data to determine the viscous and inertial resistance coefficients. On this basis
a novel three-dimensional non-decoupled model is developed using the porous media model and discrete phase model (DPM)
for the simultaneous combustion of fuel bed and freeboard in a biomass-fired grate furnace. The non-uniformity of biomass shape and size are sufficiently considered. Subsequently
comprehensive combustion modeling is conducted
and the impact of the flow resistance on the prediction accuracy is quantitatively investigated. Results show that: 1) As the gas flow rate increases
the bed height rises
and the packing porosity decreases
the flow resistance generated by the fuel bed to the passing gas becomes increasingly significant. For instance
when gas flows through bed of the three heights at 0.7 m/s
the pressure drops are 1289
2614 and 3 658 Pa
respectively; 2) The flow resistance caused by the packed bed should be sufficiently considered when developing the model
as it affects the gas escape velocity and residence time
thereby significantly influencing the prediction accuracy. When this resistance is fully taken into account
the prediction error of the outlet O2 concentration decreases from 21.4% to 4.2%; 3) The non-decoupled model achieving bidirectional coupling of momentum exchange between the gas and solid phases
which can comprehensively predict the high-temperature flame of both the gas and solid phases
as well as the transport behavior of slag and fly ash particles inside the furnace. This study provides a reliable modeling approach for high-accuracy prediction of gas-solid coupled combustion processes in grate-firing furnaces.
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