Experimental and theoretical study on kinetic behaviour of coal gangue and raw coal using model reconstruction

• Published in: Journal of thermal analysis and calorimetry Vol. 144; no. 2; pp. 463 - 477
• Main Authors: Li, Bei, Liu, Gang, Sun, Weili, Ye, Lili, Bi, Mingshu, Gao, Wei
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.04.2021; Springer; Springer Nature B.V
• Subjects: Activation energy; Aliphatic hydrocarbons; Analytical Chemistry; Chemistry; Chemistry and Materials Science; Coal; Combustion; Evolutionary algorithms; Evolutionary computation; Flammability; Fourier transforms; Functional groups; Gangue; Heating; Infrared spectroscopy; Inorganic Chemistry; Measurement Science and Instrumentation; Oxidation; Physical Chemistry; Polymer Sciences; Reconstruction; Spontaneous combustion; Stability analysis; Thermal stability; Spontaneous combustion; Coal gangue; Combustion characteristic; Reconstruction model; Apparent activation energy
• ISSN: 1388-6150; 1588-2926
• DOI: 10.1007/s10973-020-10349-y

Coal gangue (CG) and raw coal (RC) can catch fire due to spontaneous combustion. The combustion characteristics, functional groups, and kinetic behaviour of CG and RC were investigated to assess their thermal stability characteristics using thermogravimetric/Fourier transform infrared techniques (TG/FTIR) at heating rates of 10, 20, and 30 °C min −1 . More types of aliphatic hydrocarbons and naphthenic bands found in CG than RC from FTIR analysis results contributed to more gaseous products including CO, CO 2 , and CH 4 after 400 °C. A decomposition mechanism consisting of three stages for both samples was identified based on the characteristic temperatures obtained from TG data. The kinetic data of each sample were determined using different methods. The apparent activation energy varied in values for CG and RC due to the difference in combustible component content, but owned similar variation trend according to results of Vyazovkin method. The value of E α calculated from Starink and Kissinger–Akahira–Sunose methods exhibited good coincidence compared to Vyazovkin method. Reconstruction models without consideration the value of the heating rates were developed using the differential evolution algorithm to simulate the oxidation processes of each of the CG and RC samples, which was experimentally validated.