Coal variability in terms of ash-forming mineral content is one factor that coal fired power stations need to monitor closely in order to avoid unplanned shutdowns caused by slagging, fouling, and boiler erosion. Mineral groups such as silicates, carbonates, oxides, and sulphides are particularly problematic.

The phase classification methodologies employed by Automated Mineralogy Solutions such as QEMSCAN­® and MLA, which is BSE- and EDS-based, make them particularly suitable for the characterization of minerals in coal as well as the resulting ash. For example, it is possible to analyze a coal sample to quantitatively determine mineralogy and texture. This analysis is then used by engineers to model and predict a coal's slagging propensity prior to combustion, which is valuable to producers, exporters, and consumers in the energy sector.

Other applications for Automated Mineralogy include: the optimization of coal cleaning & feedstock blending; improving electrostatic precipitation of fly ash; analysis & management of coal and ash dust; and fly ash production, utilization and disposal.