Functional group evolution and gas correlation analysis of low temperature oxidation of coal gangue

LI Xuping; LI Zhi; REN Xiaopeng; ZHANG Jing; LIU Yanqing; ZHOU Chenhong

doi:10.13347/j.cnki.mkaq.20230966

Safety in Coal Mines > 2024 > 55(6): 91-99. > DOI: 10.13347/j.cnki.mkaq.20230966

LI Xuping, LI Zhi, REN Xiaopeng, et al. Functional group evolution and gas correlation analysis of low temperature oxidation of coal gangue[J]. Safety in Coal Mines, 2024, 55（6）: 91−99. DOI: 10.13347/j.cnki.mkaq.20230966

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Functional group evolution and gas correlation analysis of low temperature oxidation of coal gangue

1.
College of Mining and Coal, Inner Mongolia University of Science and Technology, Baotou 014010, China
2.
Surveying and Mapping Research Institute of Baotou Iron & Steel (Group) Co., Ltd., Baotou 014010, China

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Received Date: November 12, 2023
Revised Date: December 07, 2023

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Abstract

Abstract

In order to study the transformation law of active functional groups in the low-temperature oxidation process of coal gangue spontaneous combustion and its relationship with gas release, the experimental system composed of Fourier transform infrared spectrometer and programmed temperature control device was used to analyze the spectral experimental data of coal gangue samples at 30-350 °C in air atmosphere. The Spearman method was used to study the correlation between gas release and functional groups. The results showed that the content of hydroxyl groups in the spontaneous combustion process showed an overall upward trend, the content of aliphatic hydrocarbons in the oxidation reaction was high and the reaction was active, and the oxygen-containing functional groups were affected by aliphatic hydrocarbons in the oxidation. The amount of CH₄ gas released increases with the increase of aliphatic hydrocarbon −CH₂−, substituted aromatic hydrocarbon C−H and hydroxyl content. CO gas increases with the increase of carbonyl and aromatic hydrocarbon C−H content, and decreases with the increase of oxygen-containing functional group content. The release of CO₂ gas during oxidation mainly increases with the increase of hydroxyl and carbonyl content, showing a very high correlation.
- coal gangue spontaneous combustion,
- low-temperature oxidation,
- active functional group,
- gas precipitation,
- correlation analysis

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References

[1]	谷庆宝. 煤矸石的组成及综合利用[J]. 中国矿业,1997(5):14−16. GU Qingbao. Comopsition and utilization of gangue in China[J]. China Mining Magazine, 1997(5): 14−16.
[2]	张长森. 煤矸石资源再生利用技术[M]. 北京:化学工业出版社,2018.
[3]	薛可沁. 矸石山治理方案的探索与实践[J]. 煤炭技术,2020,39(11):147−150. XUE Keqin. Exploration and practice on treatment schemes of gangue dump[J]. Coal Technology, 2020, 39(11): 147−150.
[4]	徐晶晶,张继伟,莫凡,等. 针对煤矸石山自燃的复合抑制实验研究[J]. 矿业安全与环保,2023,50(2):28−32. XU Jingjing, ZHANG Jiwei, MO Fan, et al. Experimental research on compound inhibition of spontaneous combustion of coal gangue hill[J]. Mining Safety and Environmental Protection, 2023, 50(2): 28−32.
[5]	邓军,李亚清,张玉涛,等. 羟基(-OH)对煤自燃侧链活性基团氧化反应特性的影响[J]. 煤炭学报,2020,45(1):232−240. DENG Jun, LI Yaqing, ZHANG Yutao, et al. Effects of hydroxyl on oxidation characteristics of side chain active groups in coal[J]. Journal of China Coal Society, 2020, 45(1): 232−240.
[6]	郝长胜,袁迎春,贾廷贵,等. 不同变质程度煤的化学结构红外光谱研究[J]. 煤矿安全,2022,53(11):15−22. HAO Changsheng, YUAN Yingchun, JIA Tinggui, et al. Infrared spectral research on chemical structure of coal with different levels of metamorphism[J]. Safety in Coal Mines, 2022, 53(11): 15−22.
[7]	肖旸,叶星星,刘昆华,等. 二次氧化煤自燃过程关键官能团的转变规律[J]. 煤炭学报,2021,46(S2):989-1000. XIAO Yang, YE Xingxing , LIU Kunhua, et al. Transformation law of key functional groups in the process of coal secondary oxidation[J]. Journal of China Coal Society, 2021, 46(S2): 989-1000.
[8]	赵婧昱,张永利,邓军,等. 影响煤自燃气体产物释放的主要活性官能团[J]. 工程科学学报,2020,42(9):1139−1148. ZHAO Jingyu, ZHANG Yongli, DENG Jun. Key functional groups affecting the release of gaseous products during spontaneous combustion of coal[J]. Chinese Journal of Engineering, 2020, 42(9): 1139−1148.
[9]	ZHAO Jingyu, DENG Jun, SONG Jiajia, et al. Effectiveness of a high-temperature-programmed experimental system in simulating particle size effects on hazardous gas emissions in bituminous coal[J]. Safety Science, 2019, 115: 353−361.
[10]	王思栋,刘英忠,徐超. 煤矸石自燃氧化过程中自由基变化规律研究[J]. 工矿自动化,2020,46(4):34−37. WANG Sidong, LIU Yingzhong, XU Chao. Research on free radical variation law in spontaneous combustion and oxidation process of coal gangue[J]. Industry and Mine Automation, 2020, 46(4): 34−37.
[11]	刘向群,王福生,张朝阳,等. 煤低温氧化CO与CO₂的同位素指标研究[J]. 煤矿安全,2023,54(4):91−96. LIU Xiangqun, WANG Fusheng, ZHANG Chaoyang, et al. Study on isotopic indexes of CO and CO₂ in low temperature oxidation of coal[J]. Safety in Coal Mines, 2023, 54(4): 91−96.
[12]	何骞,肖旸,杨蒙,等. 矸石山自燃防治技术及综合治理模式发展趋势[J]. 煤矿安全,2020,51(8):220−226. HE Qian, XIAO Yang, YANG Meng, et al. Development trend of prevention and control technology and comprehensive control mode of gangue hill spontaneous combustion[J]. Safety in Coal Mines, 2020, 51(8): 220−226.
[13]	周楠,姚依南,宋卫剑,等. 煤矿矸石处理技术现状与展望[J]. 采矿与安全工程学报,2020,37(1):136−146. ZHOU Nan, YAO Yinan, SONG Weijian, et al. Present situation and prospect of coal gangue treatment technology[J]. Journal of Mining and Safety Engineering, 2020, 37(1): 136−146.
[14]	王兴华,刘峰,倪萌,等. 矸石山自燃治理及生态修复研究与应用[J]. 煤炭科学技术,2020,48(S2):128−131. WANG Xinghua, LIU Feng, NI Meng, et al. Research and application of spontaneous combustion control and ecological restoration of waste dump[J]. Coal Science and Technology, 2020, 48(S2): 128−131.
[15]	李绪萍,刘艳青,张靖,等. 中高硫煤矸石自燃阶段划分与气体析出规律相关性分析[J]. 煤炭科学技术,2023,51(S1):141−149. LI Xuping, LIU Yanqing, ZHANG Jing, et al. Correlation analysis of stage division and gas precipitation rule of middle and high sulfur gangue spontaneous combustion[J]. Coal Science and Technology, 2023, 51(S1): 141−149.
[16]	王晓雷. 混煤热解燃烧特性的试验研究[D]. 保定:华北电力大学,(保定)2003.
[17]	牛成成. 潘西煤矿高硫煤矸石自燃氧化宏微观特征演变规律研究[D]. 徐州:中国矿业大学,2022.
[18]	闫旭斌. 煤矸石反应过程官能团的演化规律研究[D]. 西安:西安科技大学,2018.
[19]	HUANG Zhian, LIU Xiaohan, GAO Yukun, et al. Experimental study on the compound system of proanthocyanidin and polyethylene glycol to prevent coal spontaneous combustion[J]. Fuel, 2019, 254: 115610.
[20]	卢纹岱. SPSS统计分析[M]. 北京:电子工业出版社,2015.
[21]	李丽清,管仕平. 统计学原理及应用[M]. 武汉:华中科技大学出版社,2020.
[22]	张现强,葛丽艳,黄化人. 应用数学实务与数据分析[M]. 成都:西南财经大学出版社,2018.
[23]	ZHANG Yulong, WANG Junfeng, WU Jianming, et al. Modes and kinetics of CO₂ and CO production from low-temperature oxidation of coal[J]. International Journal of Coal Geology, 2015, 140: 1−8.

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Functional group evolution and gas correlation analysis of low temperature oxidation of coal gangue