Evaluation and prediction of slow pyrolysis products derived from coals of different rank

Evaluation and prediction of slow pyrolysis products derived from coals of different rank •5 coals of different rank are assessed in terms of pyrolysis performance at low heating rate (<10°C/min).•The FLASHCAIN® pyrolysis model is used to predict the pyrolysis product formation.•We find FLASHCHAIN® able to provide a relatively accurate prediction of the char yield.•We find that Na2O, MgO, CaO, TiO2 and Fe2O3 have strong correlations with tar yield.•Catalytic effects of mineral matter significantly affect tar composition. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Analytical and Applied Pyrolysis Elsevier

Evaluation and prediction of slow pyrolysis products derived from coals of different rank

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0165-2370
eISSN
1873-250X
D.O.I.
10.1016/j.jaap.2017.10.014
Publisher site
See Article on Publisher Site

Abstract

•5 coals of different rank are assessed in terms of pyrolysis performance at low heating rate (<10°C/min).•The FLASHCAIN® pyrolysis model is used to predict the pyrolysis product formation.•We find FLASHCHAIN® able to provide a relatively accurate prediction of the char yield.•We find that Na2O, MgO, CaO, TiO2 and Fe2O3 have strong correlations with tar yield.•Catalytic effects of mineral matter significantly affect tar composition.

Journal

Journal of Analytical and Applied PyrolysisElsevier

Published: Nov 1, 2017

References

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