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:
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.
Measurement of Resistance in Fuel Bed and Non-decoupled Modeling of Grate-firing Boiler
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.