Modelling spontaneous combustion liability of carbonaceous materials
Date
2018-06
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Open
Abstract
This paper presents predictive models to determine spontaneous combustion liability of carbonaceous materials
(coals and coal-shales) using statistical analysis. The intrinsic properties and spontaneous combustion liability index were
determined by testing 14 coals and 14 coal-shales from Witbank coalfields, South Africa. The relationship between these
intrinsic properties (obtained from proximate, ultimate and petrographic analysis) and spontaneous combustion liability
indices (the Wits-Ehac Index and Wits-CT Index) were established. The influence of the intrinsic properties of coal-shales
in relation to coal properties affecting spontaneous combustion has been established using a statistical method. The linear
regression analysis indicates better linear relationships between some of the selected intrinsic properties and spontaneous
combustion liability index and thus, identifies the major intrinsic factors affecting their liability toward spontaneous
combustion. It was found that a definite positive or negative correlation coefficient exists between the intrinsic factors and
spontaneous combustion liability. A set of models to predict the spontaneous combustion liability was derived. The best
significant correlation along with the most appropriate model as indicated by R-squared values, the coefficient of correlations and standard error was used to predict the incident of spontaneous combustion.
Description
Keywords
Spontaneous combustion, Coals, Coal-shales, Statistical analysis, Wits-Ehac Index, Wits-CT Index
Citation
Onifade, M., Genc, B. Modelling spontaneous combustion liability of carbonaceous materials. Int J Coal Sci Technol 5, 191–212 (2018). https://doi.org/10.1007/s40789-018-0209-2