Higher order approximations to coal pyrolysis distribution

Authors

Sione Paea, School of Computing, Information & Mathematical Sciences, The University of the South Pacific, Suva, Fiji
Mark McGuiness, School of Mathematics and Statistics, Victoria University of Wellington, New Zealand

Author ORCID Identifier

Sione Paea 0000-0003-3038-4984

Abstract

Coal pyrolysis is a complex process involving a large number of chemical reactions. Pyrolysis is a key step in all coal conversion processes. The Distributed Activation Energy Model (DAEM) is a state-of-the art approach to the problem of predicting the amount of volatile released versus activation energy or time. The distribution of mass released is usually assumed to be Gaussian. We present an inverse iterative approach together with a smoothing function to estimate the underlying distribution directly from volatilisation data.

Recommended Citation

Paea, Sione and McGuiness, Mark (2018) "Higher order approximations to coal pyrolysis distribution," Journal of Sustainable Mining: Vol. 17 : Iss. 2 , Article 5.
Available at: https://doi.org/10.46873/2300-3960.1124

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.