DETERMINATION OF GTE AND DTE OF COAL USING THE SPIKE METHOD

Abstract

One of the preconditions for the realization of coal homogenization at the RB Kolubara mines is the supply of coal of appropriate quality to thermal power plants. The aim of this work is to determine the DTE mix-coal (coal, sand, clay, wood) by the spike method using benzoic acid. With the fact that we want to first point out the problem of coal granulation during its preparation for the determination of analytical samples in the process of physical chemical analysis - technical analysis of coal. We determine three parameters namely: total moisture, ash and DTE value of coal in accordance with international coal quality standards (SRPS and ASTM). Namely, in recent years, there has been a sudden deterioration in the quality of Kolubara lignite coal with a significant mixture of mass fractions of clay, sand, wood, which represent the main problem of obtaining a representative homogeneous sample in the preparation of coal for further analysis and the homogenization process. Our task refers to the determination of GTE and DTE according to the SRPS ISO 1928:2022 standard. This standard points us to the fact that if we do not have complete combustion of the coal samples in the calorimeter, and the ash concentration increases significantly, then that identical sample can be soldered: moisture (%), ash (%) and DTE(KJ/kg) concentrations were measured on representative analytical coal samples in duplicate. Representative samples from the daily work of regular decades were used. That's why we used the apparatus adiabatic calorimeter IKA C 6000 and IKA C 5000. The results of testing the physical and chemical parameters of moisture (%), ash (%) and DTE (KJ/kg) from all three (3) accredited laboratories are presented: Hagips-TENT B, Centar-Vreoci and Tamnava laboratory. The method is fast, simple and precise. Statistical data processing showed the results using correlation diagrams: DTE-ash (%), for all three accredited laboratories. Statistical processing of the results using DATA-DATA ANALYSIS and the linear correlation coefficient of the Pearson coefficient (r) was used as a measure of accuracy.