Estimation of Coal Ash Fusion Temperature Using Machine Learning Model

Abstract

Stable operation of coal gasifier is the key subject for practical use of Integrated coal Gasification Combined Cycle (IGCC). It is necessary to maintain the gasifier temperature above the slag fusion temperature in order to ensure stable slag discharge. This temperature has been determined by the standardized coal ash fusion temperature measurement, which requires a lot of work and time. Therefore, in order to improve the operability of IGCC, coal ash fusion temperatures were predicted using chemical composition of ash and machine learning technique in this study. As a result, it was confirmed that it would be difficult to predict ash fusion temperatures for Biomass by Coal data with small amount of biomass data.