Article detail · 2025
Prediction of spontaneous combustion liability for imported steam coals
Journal
Energy Sources, Part A: Recovery, Utilization, and Environmental EffectsISSN 1556-7036
The ISSN points to another catalog journal; the name is from the YÖKSİS record.
- Year
- 2025
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
- Catalog match (ISSN) Energy Sources, Part A: Recovery, Utilization and Environmental Effects
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
In this study, the phenomenon of coal spontaneous combustion and its influencing factors were revisited with a focus on imported steam coals. A total of 34 steam coal samples were investigated for their spontaneous combustion liabilities through comprehensive experimental analyses. These included proximate analysis, ultimate analysis (C, H, S), grindability analysis (HGI), ash fusibility testing (AFT), ash chemical composition, free swelling index, and petrographic examination (for selected samples). Statistical correlation analyses revealed that moisture and volatile matter contents were the most influential parameters affecting spontaneous combustion, with their product showing a strong relationship with spontaneous combustion indicators. Specifically, predictive models for CPT (Crossing Point Temperature), ATI (Average Temperature Increase), and FCC (FCC Index Value) were developed using moisture and volatile matter, yielding high correlation coefficients (R2 = 0.89 for CPT, 0.83 for ATI, and 0.89 for FCC). CPT values ranged from 147°C to 175°C, while ATI and FCC values ranged between 0.63–1.18 and 3.62–8.03, respectively. Although particle size distribution (PSD) analysis was also conducted, no significant correlation was found between PSD parameters and combustion liability, indicating that low-temperature oxidation may depend more on pore structure and oxygen adsorption capacity than on particle size. This study proposes a practical, data-driven approach for assessing the combustion liability of imported coals, addressing a notable gap in the literature and offering predictive equations applicable in industrial contexts.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
5 citations
OpenAlex cited_by_count (cache / database)
6 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Experimental and machine learning associated study into the spontaneous combustion susceptibility of the steam coals 2026
- An Integrated Color Space–Thermochemical Framework for Predicting Coal Spontaneous Combustion Liability 2026
- An Integrated Color Space–Thermochemical Framework for Predicting Coal Spontaneous Combustion Liability 2026
- An Integrated Color Space–Thermochemical Framework for Predicting Coal Spontaneous Combustion Liability 2026
- Evaluation of Coal Spontaneous Combustion (CSC) Liability Based on Particle Size Distribution (PSD) and Specific Surface Area (SSA) 2026
- Experimental and machine learning associated study into the spontaneous combustion susceptibility of the steam coals 2026