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Influence of Product Yield, Density, Heating Conditions and Conversion on Pyrolysis of Biomass

Biomass is an attractive option as a fuel for power generation. The pyrolysis process consists of the thermal degradation of biomass feedstock in the absence of oxygen/air. In the present study, the simultaneous chemical kinetics and heat transfer model is used to predict the effects of heating conditions, density of biomass, product yields and conversion on pyrolysis of biomass fuels. Finite difference pure implicit scheme utilizing Tri-Diagonal Matrix Algorithm is employed for solving heat transfer model equation. Runge-Kutta 4 order method is used for solving chemical kinetics model equations. Simulations are carried out for different geometries (slab, cylinder and sphere) considering equivalent radius ranging from 0.0000125 m to 0.011 m, and temperature ranging from 303 K to 2100 K.