MOISTURE AND CHAR REACTIVITY MODELING IN PULVERIZED COAL COMBUSTORS

Abstract

This paper discusses the development of specialized subroutines used in a Computational Fluid Dynamics code (FLUENT™) to accurately predict temperature, velocity, and species profiles in a down-fired, pilot-scaie, pulverized coal combustor and in the t-fired industrial boiler. A Lagrangian particle tracking algorithm, along with an advanced char burnout kinetic (CBK) model, was used to accurately predict the representative particle trajectories, as well as the loss of carbon from coal particles. The devolatilization and burnout parameters for the full-scale industrial combustion model were generated using the first principles and the combination of drop-tube/pilot-scale experiments. Additionally, the moisture that evolved from coal/biomass char heating is included via surface reactions, which accounts for char

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Notes on contributors

D. GERA

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