Distributed activation energy modelling for pyrolysis of forest waste using Gaussian distribution

Alok Dhaundiyal; Suraj B. Singh

doi:10.1515/prolas-2016-0011

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Distributed activation energy modelling for pyrolysis of forest waste using Gaussian distribution

Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.

Volume 70 (2016): Issue 2 (April 2016)

By: Alok Dhaundiyal and Suraj B. Singh

Open Access

|Jun 2016

Abstract

The paper focuses on the influences of some factors significant to pyrolysis of forestry biomass on the asymptotic solution of the non-isothermal n^th-order distribution energy model (DAEM) using Gaussian distribution. Investigated parameters are the integral upper limit, the frequency factor, and the heating rate parameters of the Gaussian distribution. The influence of these factors has been used for evaluating the kinetic parameters of the non-isothermal n^th-order Gaussian distribution from thermogravimetric analysis of forest waste.

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Articles in this issue

DOI: https://doi.org/10.1515/prolas-2016-0011 | Journal eISSN: 2255-890X | Journal ISSN: 1407-009X

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Language: English

Page range: 64 - 70

Submitted on: Sep 28, 2015

Published on: Jun 15, 2016

Published by: Latvian Academy of Sciences

In partnership with: Paradigm Publishing Services

Publication frequency: 6 issues per year

Keywords:

distributed activation energy model (DAEM),

non-isothermal kinetics,

asymptotic solution,

Gaussian distribution

Related subjects:

General interest,

Mathematics,

General mathematics

© 2016 Alok Dhaundiyal, Suraj B. Singh, published by Latvian Academy of Sciences
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 70 (2016): Issue 2 (April 2016)