ABSTRAC T
To design a large-scale pyrolysis reactor, a complete particle level model was developed using pyrolysis of babul wood. Babul wood, the abundant woody biomass in India, is a highly reactive and promising feedstock for pyrolysis and considered as a case study in the present work. Thermo-balance was used to devolatilize the wood particles at different heating rates from (10 to 20 K min−1), thereby estimate the intrinsic kinetics parameters. Non-condensable gases released from wood pyrolysis were also modeled and derived the kinetic parameters. Large wood single particle dimension of L/D ∼3.5 was chosen to investigate the pyrolysis reaction and de- veloped a particle level model which involves both heat transfer and chemical reactions phenomena. Particle model developed was simulated with intrinsic kinetic parameters generated from kinetic models. Two-step consecutive model with different reaction orders (m=1, n=2) was found to explain the experimental data very well. Additionally, optimum conditions for maximum product yields and detail characterization of bio-oil was carried out using different analytical techniques.
E-mail address: gpkumar@ddn.upes.ac.in (P. Ghodke).
https://doi.org/10.1016/j.fuel.2018.09.084
To design a large-scale pyrolysis reactor, a complete particle level model was developed using pyrolysis of babul wood. Babul wood, the abundant woody biomass in India, is a highly reactive and promising feedstock for pyrolysis and considered as a case study in the present work. Thermo-balance was used to devolatilize the wood particles at different heating rates from (10 to 20 K min−1), thereby estimate the intrinsic kinetics parameters. Non-condensable gases released from wood pyrolysis were also modeled and derived the kinetic parameters. Large wood single particle dimension of L/D ∼3.5 was chosen to investigate the pyrolysis reaction and de- veloped a particle level model which involves both heat transfer and chemical reactions phenomena. Particle model developed was simulated with intrinsic kinetic parameters generated from kinetic models. Two-step consecutive model with different reaction orders (m=1, n=2) was found to explain the experimental data very well. Additionally, optimum conditions for maximum product yields and detail characterization of bio-oil was carried out using different analytical techniques.
E-mail address: gpkumar@ddn.upes.ac.in (P. Ghodke).
https://doi.org/10.1016/j.fuel.2018.09.084
