Issue |
Metall. Res. Technol.
Volume 114, Number 3, 2017
|
|
---|---|---|
Article Number | 301 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/metal/2017016 | |
Published online | 23 May 2017 |
Regular Article
A coupled thermal decomposition model for coal particle pyrolysis
State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing,
Beijing
100083, China
⁎ e-mail: xudaan@126.com
Received:
26
August
2016
Received in final form:
11
January
2017
Accepted:
28
February
2017
Based on the porous structure of coal, a coupled thermal decomposition model is developed to describe the coal pyrolysis process more fully and truly. It not only incorporates specific surface change in reaction rate during conversion, but also couples chemical reaction rate happened on pore surfaces with internal diffusion rate of the gaseous product. To validate the applicability of the model, three kinds of coal pyrolysis experiments were carried out. The results show that the model is suitable for all the three stages of coal pyrolysis, which realizes the unification of mechanisms in low-, middle- and high-temperature stages. One set of activation energy and pre-exponential factor is calculated for each stage of coal pyrolysis according to the slope and intercept of the corresponding fitting line. With these kinetic parameters, the numerical solution of this model is obtained. Compared the numerical solution with experimental values, the good agreement between them is observed, which validates the reliability of the model.
Key words: kinetic model / coal pyrolysis / porous structure / chemical reaction / internal diffusion
© EDP Sciences, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.