Evaluation of the Reliability of Thermogravimetric Indices for Predicting Coal Performance in Utility Systems
A thorough understanding of fuel behaviour is essential for designing and operating thermochemical systems. Thermogravimetric analysis (TGA) is among the most widely used fuel characterization methods, offering parameters like reactivity and ignition temperature, and enabling comprehensive fuel beha...
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| author | Krzysztof M. Czajka |
| author_facet | Krzysztof M. Czajka |
| author_sort | Krzysztof M. Czajka |
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| description | A thorough understanding of fuel behaviour is essential for designing and operating thermochemical systems. Thermogravimetric analysis (TGA) is among the most widely used fuel characterization methods, offering parameters like reactivity and ignition temperature, and enabling comprehensive fuel behaviour assessment through combined indices. This study critically examines the applicability of TGA-based indices for predicting coal performance in industrial processes such as gasification and combustion, where devolatilization, ignition, and burnout stages are key. TGA-derived data are compared with results from established methods, including drop tube furnace (DTF), pulse ignition (PI), and entrained flow reactor (EFR) tests. Findings indicate that the Volatile Matter Release Index (<i>D</i><sub>2</sub>) effectively predicts DTF behaviour (R<sup>2</sup> = 0.938, max residuals: 4.1 pp), proving useful for fast devolatilization analysis. The Flammability Index (<i>C</i><sub>1</sub>) and Ignition Index (<i>C</i><sub>3</sub>) correlate well with PI results (R<sup>2</sup> = 0.927 and 0.931, max residuals: 53.3a °C), making them reliable ignition indicators. While TGA tools showed limited accuracy in burnout prediction, the proposed Modified Burnout Characteristic Index (<i>B</i><sub>1′</sub>) achieved reasonable performance (R<sup>2</sup> = 0.734, max residuals: 0.062%∙°C<sup>−1</sup>). Overall, selected TGA-based indices offer strong predictive potential for key thermochemical conversion stages. |
| format | Article |
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| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-07-01 |
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| series | Energies |
| spelling | doaj-art-8f75f85e3012473ab667c2c99548bce22025-08-20T02:35:54ZengMDPI AGEnergies1996-10732025-07-011813347310.3390/en18133473Evaluation of the Reliability of Thermogravimetric Indices for Predicting Coal Performance in Utility SystemsKrzysztof M. Czajka0Department of Energy Conversion Engineering, Faculty of Mechanical and Power Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, PolandA thorough understanding of fuel behaviour is essential for designing and operating thermochemical systems. Thermogravimetric analysis (TGA) is among the most widely used fuel characterization methods, offering parameters like reactivity and ignition temperature, and enabling comprehensive fuel behaviour assessment through combined indices. This study critically examines the applicability of TGA-based indices for predicting coal performance in industrial processes such as gasification and combustion, where devolatilization, ignition, and burnout stages are key. TGA-derived data are compared with results from established methods, including drop tube furnace (DTF), pulse ignition (PI), and entrained flow reactor (EFR) tests. Findings indicate that the Volatile Matter Release Index (<i>D</i><sub>2</sub>) effectively predicts DTF behaviour (R<sup>2</sup> = 0.938, max residuals: 4.1 pp), proving useful for fast devolatilization analysis. The Flammability Index (<i>C</i><sub>1</sub>) and Ignition Index (<i>C</i><sub>3</sub>) correlate well with PI results (R<sup>2</sup> = 0.927 and 0.931, max residuals: 53.3a °C), making them reliable ignition indicators. While TGA tools showed limited accuracy in burnout prediction, the proposed Modified Burnout Characteristic Index (<i>B</i><sub>1′</sub>) achieved reasonable performance (R<sup>2</sup> = 0.734, max residuals: 0.062%∙°C<sup>−1</sup>). Overall, selected TGA-based indices offer strong predictive potential for key thermochemical conversion stages.https://www.mdpi.com/1996-1073/18/13/3473industrial-scale fuel evaluationpredictive modellingsolid fuels reactivityminimum autoignition temperaturegasificationcombustion |
| spellingShingle | Krzysztof M. Czajka Evaluation of the Reliability of Thermogravimetric Indices for Predicting Coal Performance in Utility Systems Energies industrial-scale fuel evaluation predictive modelling solid fuels reactivity minimum autoignition temperature gasification combustion |
| title | Evaluation of the Reliability of Thermogravimetric Indices for Predicting Coal Performance in Utility Systems |
| title_full | Evaluation of the Reliability of Thermogravimetric Indices for Predicting Coal Performance in Utility Systems |
| title_fullStr | Evaluation of the Reliability of Thermogravimetric Indices for Predicting Coal Performance in Utility Systems |
| title_full_unstemmed | Evaluation of the Reliability of Thermogravimetric Indices for Predicting Coal Performance in Utility Systems |
| title_short | Evaluation of the Reliability of Thermogravimetric Indices for Predicting Coal Performance in Utility Systems |
| title_sort | evaluation of the reliability of thermogravimetric indices for predicting coal performance in utility systems |
| topic | industrial-scale fuel evaluation predictive modelling solid fuels reactivity minimum autoignition temperature gasification combustion |
| url | https://www.mdpi.com/1996-1073/18/13/3473 |
| work_keys_str_mv | AT krzysztofmczajka evaluationofthereliabilityofthermogravimetricindicesforpredictingcoalperformanceinutilitysystems |