A Model for Agglomeration in Bio-fuel Fired Fluidized Bed

来源 :Journal of Thermal Science | 被引量 : 0次 | 上传用户:xiandaoisme
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A mathematical model has been developed to describe the agglomeration process in bio-fuel fired fluidized bed combustor.Based on the balance mechanism of the adhesive force caused by liquid bonding between two particles and the breaking force induced by bubbles in the fluidized bed,the model considers modified Urbain model and chemical equilibrium calculations using FactSage modeling.This model prediction accounts for the evolvement of the adhesive and breaking forces,and clearly demonstrates that the different composition of ash,the increasing liquid phase matter and the fluidization velocity cause defluidization in fluidized bed.In this model,it is the first time to hypothesize that the bonding stress between two particles is proportional to mass fraction of liquid phase and inversely proportional to the diameter of particles and viscosity of liquid phase.The defluidization time calculated by this model shows good agreement with that from the experimental data. A mathematical model has been developed to describe the agglomeration process in bio-fuel fired fluidized bed combustor. Based on the balance mechanism of the adhesive force caused by liquid bonding between two particles and the breaking force induced by bubbles in the fluidized bed, the model considers modified Urbain model and chemical equilibrium calculations using FactSage modeling. This model prediction accounts for the evolvement of the adhesive and breaking forces, and clearly demonstrates that the different composition of ash, the increasing liquid phase matter and the fluidization velocity cause defluidization in fluidized bed .In this model, it is the first time to hypothesize that the bonding stress between two particles is proportional to mass fraction of liquid phase and inversely proportional to the diameter of particles and viscosity of liquid phase. Defluidization time calculated by this model shows good agreement with that from the experimental data.
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