A multi-index-classified early warning method for spontaneous combustion of coal under air leakage blocking

被引:11
作者
Wen, Hu [1 ,2 ]
Liu, Yin [1 ,2 ]
Guo, Jun [1 ,2 ]
Jin, Yongfei [1 ,2 ]
Zheng, Xuezhao [1 ,2 ]
机构
[1] Xian Univ Sci & Technol, Coll Safety Sci & Engn, Xian 710054, Shaanxi, Peoples R China
[2] Key Lab Western Mine & Hazard Prevent, 58 Yanta Mid Rd, Xian 710054, Shaanxi, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
coal spontaneous combustion; CSC; air volume reduction; fire trend determination; classification warning; spontaneous combustion index; TEMPERATURE OXIDATION CHARACTERISTICS; EXPLOSION CHARACTERISTICS; HEAT-TRANSFER; OIL-SHALE; GASES; PREDICTION; MINE; LAW;
D O I
10.1504/IJOGCT.2021.115547
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Judging development trends in coal spontaneous combustion (CSC) accurately has long been a global problem. Once a CSC phenomenon is found, the coal temperature tends to reach or exceed the critical temperature. To address this problem, the CSC characteristic parameter testing device is used to simulate the air reduction environment after the coal low temperature oxidation reaches the critical temperature, and long-flame coal was tested. The results show that the gas index can be used to judge the development trend and the characteristic temperature point for the initial stage of CSC. The development of oxidation at low temperature can be effectively predicted by using the composite indexes-Graham (G), CO/CO2 and 100x (C2H4/CO). Based on this information, a multi-index early warning method for comprehensive classification was proposed. The results have guiding significance for determining the development trend of CSC fires and fire prevention and extinguishing work. [Received: August 10, 2019; Accepted: May 26, 2020]
引用
收藏
页码:208 / 226
页数:19
相关论文
共 42 条
[1]  
Deng J., 2016, COAL SCI TECHNOL, V44, P70
[2]   Study on coal spontaneous combustion characteristic temperature of growth rate analysis [J].
Deng Jun ;
Zhao Jingyu ;
Zhang Yanni ;
Geng Ruilin .
2014 INTERNATIONAL SYMPOSIUM ON SAFETY SCIENCE AND TECHNOLOGY, 2015, 84 :796-805
[3]   Study on Low Temperature Oxidation Characteristics of Oil Shale Based on Temperature Programmed System [J].
Du, Wenzhou ;
Wang, Yue ;
Liu, Xuelin ;
Sun, Lulu .
ENERGIES, 2018, 11 (10)
[4]  
Duan C., 2015, Coal Sci. Technol, V43, P62, DOI [10.13199/j.cnki.cst.2015.01.015, DOI 10.13199/J.CNKI.CST.2015.01.015]
[5]   Changes on the low-temperature oxidation characteristics of coal after CO2 adsorption: A case study [J].
Feng, Guorui ;
Wu, Yuguo ;
Zhang, Chao ;
Hu, Shengyong ;
Shao, He ;
Xu, Guang ;
Ren, Xiangyan ;
Wang, Zhuo .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2017, 49 :536-544
[6]  
Guo J., 2014, THESIS XIAN U SCI TE
[7]   A method for evaluating the spontaneous combustion of coal by monitoring various gases [J].
Guo, Jun ;
Wen, Hu ;
Zheng, Xuezhao ;
Liu, Yin ;
Cheng, Xiaojiao .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2019, 126 :223-231
[8]   Formation law of hydrocarbon index gases during coal spontaneous combustion in an oxygen-poor environment [J].
Guo, Xiaoyang ;
Deng, Cunbao ;
Zhang, Xun ;
Wang, Yansheng .
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2019, 41 (05) :626-635
[9]  
Hitchcock W., 2008, 12th U.S./North American Mine Ventilation Symposium, P159
[10]   Coal spontaneous combustion prediction in gob using chaos analysis on gas indicators from upper tunnel [J].
Hu, Xincheng ;
Yang, Shengqiang ;
Zhou, Xiuhong ;
Yu, Zhaoyang ;
Hu, Chunya .
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2015, 26 :461-469