<abstract xmlns="http://www.w3.org/1999/xhtml">This paper deals with the influence of some parameters relevant to biomass pyrolysis on the numerical solutions of the nonisothermal <italic>n</italic>th order distributed activation energy model using the Rayleigh distribution. Investigated parameters are the integral upper limit, the frequency factor, the heating rate, the reaction order and the scale parameters of the Rayleigh distribution. The influence of these parameters has been considered for the determination of the kinetic parameters of the non-isothermal <italic>n</italic>th order Rayleigh distribution from the experimentally derived thermoanalytical data of biomass pyrolysis.</abstract>

This paper deals with the influence of some parameters relevant to biomass pyrolysis on the numerical solutions of the nonisothermal nth order distributed activation energy model using the Rayleigh distribution. Investigated parameters are the integral upper limit, the frequency factor, the heating rate, the reaction order and the scale parameters of the Rayleigh distribution. The influence of these parameters has been considered for the determination of the kinetic parameters of the non-isothermal nth order Rayleigh distribution from the experimentally derived thermoanalytical data of biomass pyrolysis.

Approximations to the Non-Isothermal Distributed Activation Energy Model for Biomass Pyrolysis Using the Rayleigh Distribution

Govind Ballabh Pant University of Agriculture and Technology

Acta Technologica Agriculturae

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This paper deals with the influence of some parameters relevant to biomass pyrolysis on the numerical solutions of the nonisothermal nth order distributed...

Approximations to the Non-Isothermal Distributed Activation Energy Model for Biomass Pyrolysis Using the Rayleigh Distribution

Published Online: Sep 23, 2017

Page range: 78 - 84

DOI: https://doi.org/10.1515/ata-2017-0016

Keywords
biomass pyrolysis, distributed activation energy model, non-isothermal kinetics, Rayleigh distribution, asymptotic expansion

© 2017 Slovak University of Agriculture in Nitra

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Approximations to the Non-Isothermal Distributed Activation Energy Model for Biomass Pyrolysis Using the Rayleigh Distribution

Published Online: Sep 23, 2017

Page range: 78 - 84

DOI: https://doi.org/10.1515/ata-2017-0016

Keywordsbiomass pyrolysis, distributed activation energy model, non-isothermal kinetics, Rayleigh distribution, asymptotic expansion

© 2017 Slovak University of Agriculture in Nitra

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
biomass pyrolysis, distributed activation energy model, non-isothermal kinetics, Rayleigh distribution, asymptotic expansion