<abstract xmlns="http://www.w3.org/1999/xhtml">This paper investigates the effect of non-linear thermal profile on the numerical solution of the multi-reaction model. According to the practical perspective, the temperature distribution at a different section of pyrolysis reactor is not necessarily following the ideal thermal history; therefore, it is necessary to predict the behaviour of the system for the higher degree of freedom. TG thermogram is obtained by the thermal degradation of pine needles sample in the thermogravimetric analyser (TGA). The activation energy, frequency factor, reaction order and the scale, shape and location parameters of a stochastic function are estimated for the non-linear parabolic thermal profile. The conventional Laplace integral is used to approximate the multi-reaction model. Activation energy obtained for the non-thermal profile lies in the range of 57.5–60 kJ·mol−1, whereas the frequency factor varies from 103–105 min-1. The obtained value of reaction order (<italic>n</italic>) lies in the domain of (0.9, 1.6).</abstract>

This paper investigates the effect of non-linear thermal profile on the numerical solution of the multi-reaction model. According to the practical perspective, the temperature distribution at a different section of pyrolysis reactor is not necessarily following the ideal thermal history; therefore, it is necessary to predict the behaviour of the system for the higher degree of freedom. TG thermogram is obtained by the thermal degradation of pine needles sample in the thermogravimetric analyser (TGA). The activation energy, frequency factor, reaction order and the scale, shape and location parameters of a stochastic function are estimated for the non-linear parabolic thermal profile. The conventional Laplace integral is used to approximate the multi-reaction model. Activation energy obtained for the non-thermal profile lies in the range of 57.5–60 kJ·mol−1, whereas the frequency factor varies from 103–105 min-1. The obtained value of reaction order (n) lies in the domain of (0.9, 1.6).

Stochastic Analysis of Multi-Reaction Model for Non-Linear Thermal History

Govind Ballabh Pant University of Agriculture and Technology

Acta Technologica Agriculturae

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Stochastic Analysis of Multi-Reaction Model for Non-Linear Thermal History"}

This paper investigates the effect of non-linear thermal profile on the numerical solution of the multi-reaction model. According to the practical perspective,...

Stochastic Analysis of Multi-Reaction Model for Non-Linear Thermal History

Published Online: Aug 08, 2019

Page range: 92 - 98

DOI: https://doi.org/10.2478/ata-2019-0017

Keywords
biomass pyrolysis, kinetic parameters, the Laplace method, the multi-reaction model

© 2019 Alok Dhaundiyal et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Stochastic Analysis of Multi-Reaction Model for Non-Linear Thermal History

Published Online: Aug 08, 2019

Page range: 92 - 98

DOI: https://doi.org/10.2478/ata-2019-0017

Keywordsbiomass pyrolysis, kinetic parameters, the Laplace method, the multi-reaction model

© 2019 Alok Dhaundiyal et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
biomass pyrolysis, kinetic parameters, the Laplace method, the multi-reaction model