College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China.
Shaanxi Key Laboratory of Prevention and Control of Coal Fire, Xi'an, 710054, China.
Environ Sci Pollut Res Int. 2023 Jan;30(2):3970-3979. doi: 10.1007/s11356-022-22529-4. Epub 2022 Aug 12.
Focused on the prediction and forecast index of coal spontaneous combustion, the temperature-programmed experiments were carried out to identify the releasing rule of the gaseous compounds with the consideration of coal particle sizes. Based on the method of growth rate analysis, critical and dry cracking temperatures were determined, dividing the coal low-temperature oxidation process into three stages. The critical temperature for the spontaneous combustion of the coal is in the range of 60 ~ 70 °C, with the dry cracking temperature ranging from 100 to 110 °C. It was found that the particle sizes had obvious effects on the release of gaseous compounds during the coal heating test. To reduce the influence of coal particle size on the forecasting of coal spontaneous combustion, the combination methods of coefficient of variation and the weighted grey relational analysis were proposed for the selection and evaluation of coal spontaneous combustion indexes. For the tested coal sample, CO/CO was selected as the primary index and O/(CO + CO) and CO/O as the alternative indexes. CH and CH were selected as the index gases to confirm that the coal oxidation reached the dry cracking temperature. This research could provide a reference for the determination of the grading forecasting index of coal spontaneous combustion.
针对煤自燃预测预报指标，开展了考虑煤粒径的升温实验，以识别气体化合物的释放规律。基于增长率分析方法，确定了临界温度和干裂温度，将煤低温氧化过程分为三个阶段。煤自燃的临界温度在 6070°C 范围内，干裂温度在 100110°C 范围内。结果表明，粒径对煤加热试验中气体化合物的释放有明显影响。为了降低煤粒径对煤自燃预测的影响，提出了变异系数与加权灰色关联分析相结合的方法，用于选择和评价煤自燃指标。对于所测试的煤样，选择 CO/CO 作为主要指标，O/(CO+CO)和 CO/O 作为替代指标。选择 CH 和 CH 作为指标气体，以确认煤氧化达到干裂温度。本研究可为确定煤自燃分级预测指标提供参考。
