Abstract
An unsteady, one-dimensional mathematical model has been developed to describe the pyrolysis of sawdust in a packed bed. The sawdust bed was pyrolyzed using the hot gas and an electric heater outside the bed as the source of energy. The developed model includes mass, momentum and energy conservations of gas and solid within the bed. The gas flow in the bed is modeled using Darcy’s law for fluid through a porous medium. The heat transfer model includes heat conduction inside the bed and convection between the bed and the hot gas. The kinetic model consists of primary pyrolysis reaction. A finite volume fully implicit scheme is employed for solving the heat and mass transfer model equations. A Runge–Kutta fourth order method is used for the chemical kinetics model equations. The model predictions of mass loss history and temperature were validated with published experimental results, showing a good agreement. The effects of inlet temperature on the pyrolysis process have been analyzed with model simulation. A sensitivity analysis using the model suggests that the predictions could be improved by considering the second reaction which could generate volatile flowing in the void.
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Abbreviations
- g:
-
gas
- c:
-
char
- s:
-
sawdust
- g:
-
total gas
- s:
-
solid
- 0:
-
initial value
- in:
-
inlet
- k:
-
reaction rate (s-1)
- h sg :
-
heat transfer coefficient (w m−2.K)
- D :
-
Diffusivity(m2 K−1)
- Y i :
-
mass fractions (−)
- B :
-
permeability (m2)
- ε :
-
void fraction (−)
- μ :
-
viscosity (kg/ms)
- λ :
-
thermal conductivity (w m−1 K−1)
- c p :
-
specific heat capacity (J kg−1 K−1)
- ρ :
-
density (kg m−3)
- T :
-
Temperature (K)
- S :
-
resource
- x :
-
axial
- t :
-
time (s)
- Rg:
-
gas constant (−)
- Pr:
-
Prandtl number (−)
- Re:
-
Reynolds number (−)
- p:
-
pressure (N/m2)
- Mg:
-
gaseous mole fraction (g mol−1)
- u:
-
velocity (m s−1)
- ν :
-
reaction progress variable
- d p :
-
particle diameter (m)
- h:
-
bed height (m)
References
Li L, et al. Low-temperature gasification of a woody biomass under a nickel-loaded brown coal char. Fuel Process Technol. 2010;91(8):889–94.
Zhang L, Xu C, Champagne P. Overview of recent advances in thermo-chemical conversion of biomass. Energy Convers Manag. 2010;51(5):969–82.
Diblasi C. Modeling chemical and physical processes of wood and biomass pyrolysis. Prog Energy Combust Sci. 2008;34(1):47–90.
Mohan Dinesh, Pittman Jr CU, Steele Philip H. Pyrolysis of wood-biomass for bio-oil: a critical review. Energy Fuels. 2006;20:848–89.
Yung MM, Jablonski WSJ, Magrini-Bair KA. Review of catalytic conditioning of biomass-derived syngas. Energy Fuels. 2009;23:1874–87.
Lv Pengmei, Chang J, Wang T, Wu C. A kinetic study on biomass fast catalytic pyrolysis. Energy Fuels. 2004;18:1865–9.
Yang Y. Effects of fuel devolatilisation on the combustion of wood chips and incineration of simulated municipal solid wastes in a packed bed*. Fuel. 2003;82(18):2205–21.
Al-Haddad M, et al. Biomass fast pyrolysis: experimental analysis and modeling approach†. Energy Fuels. 2010;24(9):4689–92.
Ranzi E, Cuoci A, Faravelli T, Frassoldati A, Migliavacca G, Pierucci S, Sommariva S. Chemical kinetics of biomass pyrolysis. Energy Fuels. 2008;22:4292–300.
Hu Guoxin, Huang H, Li Yanhong. Hydrogen-rich Gas production from pyrolysis of biomass in an autogenerated steam atmosphere. Energy Fuels. 2009;23:1748–53.
Shin D, Choi S. The combustion of simulated waste particles in a fixed bed. Combust Flame. 2000;121:167–80.
Zhou H, et al. Numerical modeling of straw combustion in a fixed bed. Fuel. 2005;84(4):389–403.
Yang Y, et al. Fuel size effect on pinewood combustion in a packed bed. Fuel. 2005;84(16):2026–38.
Yang Y, et al. Mathematical modelling of slow pyrolysis of segregated solid wastes in a packed-bed pyrolyser. Fuel. 2007;86(1–2):169–80.
Yang Y, et al. Simulation of channel growth in a burning Bed of solids. Chem Eng Res Des. 2003;81(2):221–32.
Yang YB, Sharifi VN, Swithenbank J. Numerical simulation of the burning characteristics of thermally-thick biomass fuels in packed-beds. Process Saf Environ Protect. 2005;83(6):549–58.
Yang Y. Effect of air flow rate and fuel moisture on the burning behaviours of biomass and simulated municipal solid wastes in packed beds. Fuel. 2004;83(11–12):1553–62.
Yang Y, et al. Effect of fuel properties on biomass combustion. Part II. Modelling approach—identification of the controlling factors. Fuel. 2005;84(16):2116–30.
van der Lans RP, Pedersen LT, Jensen A, Glarborg P, Dam-Johansen K. Modeling and experiments of straw combustion in a grate furnace. Biomass Bioenergy. 2000;19:199–208.
Bandyopadhyay SC, Chowdhury R, Biswas GK. Transient behavior of a coconut shell pyrolyzer: a mathematical analysis. Indust Eng Chem Res. 1996;35(10):3347–55.
Peters B. Measurements and particle resolved modelling of the thermo- and fluid dynamics of a packed bed. J Anal Appl Pyrolysis. 2003;70(2):211–31.
Jenkins BM, Baxter LL, Miles TR. Combustion properties of biomass. Fuel Process Technol. 1998;54(1–3):17–46.
Porteiro J, et al. Mathematical modelling of the combustion of a single wood particle. Fuel Process Technol. 2006;87(2):169–75.
Green PA. Chemical engineers’ handbook (6th edn.). 1984.
Babu B. Modeling for pyrolysis of solid particle: kinetics and heat transfer effects. Energy Convers Manag. 2003;44(14):2251–75.
Di Blasi C. Development of a novel reactor for the oxidative degradation of straw. Bioresource Technol. 2004;91(3):263–71.
Jenkins BM, Baxter LL, Miles Jr TR, Miles TR. Combustion properties of biomass. Fuel Process Technol. 1998;84:17–46.
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© 2013 Springer-Verlag Berlin Heidelberg & Tsinghua University Press
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Meng, Q., Chen, X. (2013). Numerical Modeling of Pyrolysis of Sawdust in a Packed Bed. In: Qi, H., Zhao, B. (eds) Cleaner Combustion and Sustainable World. ISCC 2011. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30445-3_32
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DOI: https://doi.org/10.1007/978-3-642-30445-3_32
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