半封闭煤火演化过程的动力学特征

赵婧昱; 张廷豪; 宋佳佳; 郭涛; 张宇轩; 邓军

doi:10.3969/j.issn.0258-2724.20210878

半封闭煤火演化过程的动力学特征

doi: 10.3969/j.issn.0258-2724.20210878

赵婧昱^{1, 2,},
张廷豪^1,,
宋佳佳¹,
郭涛³,
张宇轩⁴,
邓军^{1, 2}

1.
西安科技大学安全科学与工程学院，陕西西安710054
2.
西安科技大学陕西省煤火灾害防治重点实验室，陕西西安710054
3.
陕西省西安高新区应急管理局，陕西西安710065
4.
陕西煤业化工技术研究院有限责任公司，陕西西安 710065

基金项目: 国家自然科学基金（52174202）

详细信息

作者简介:
赵婧昱（1990—），女，副教授，博士，研究方向为煤火自燃、古建筑消防，E-mail：zhaojingyu90@xust.edu.cn

中图分类号: TD752.2
计量
- 文章访问数: 327
- HTML全文浏览量: 161
- PDF下载量: 11
- 被引次数: 38
出版历程
- 收稿日期: 2021-11-10
- 修回日期: 2022-08-20
- 网络出版日期: 2022-09-26
- 刊出日期: 2022-09-22

Dynamic Characteristics for Evolution Process of Semi-closed Coal Fire

ZHAO Jingyu^{1, 2
,},
ZHANG Tinghao^1
,,
SONG Jiajia¹,
GUO Tao³,
ZHANG Yuxuan⁴,
DENG Jun^{1, 2}

1.
School of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
2.
Shaanxi Key Laboratory of Prevention and Control of Coal Fire, Xi’an University of Science and Technology, Xi’an 710054, China
3.
Shaanxi Engineering Research Center for Industrial Process Safety & Emergency Rescue, Xi’an 710065, China
4.
Shaanxi Coal Chemical Industry Technology Research Institute Co., Ltd., Xi’an 710065, China

摘要

摘要:
为研究松散煤体自然发火过程中氧气及温度阶段性的演化规律，搭建了半封闭煤火演化实验系统，探究煤体从常温到燃点过程中氧气浓度及温度变化情况，建立松散煤体自燃蔓延过程自然吸氧强度模型，分析自燃过程中氧气分布特征和温度场水平与纵向阶段性移动特征. 结果表明：半封闭煤火演化实验系统能够较好地再现煤自燃“自然吸氧”过程，验证了自然吸氧效应为煤体自燃蔓延提供动力；煤体自然发火过程中，温度变化时间滞后于氧气浓度变化时间，其滞后时间差随煤层纵深变化的增加而增加；在水平方向上高温区域迁移趋势主要受煤体内部裂隙与孔隙分布的影响；自然吸氧强度与测点峰值温度随煤体纵深增加而降低，未发生自燃区域的下方氧气浓度大于其上层氧气浓度. 研究成果对开采、运输、储存状态下的松散煤体自然发火的防治提供理论基础.
- 松散煤体 /
- 自然吸氧效应 /
- 高温区域 /
- 温度特征 /
- 氧气浓度
Abstract:
In order to study the evolution law of oxygen and temperature in the process of spontaneous combustion of loose coal, an experimental system for semi-closed coal fire evolution was built to explore the changes of oxygen concentration and temperature in the process of coal from normal temperature to ignition point, and to establish the natural oxygen absorption intensity model for the spontaneous combustion process of loose coal. The model analyzes the characteristics of oxygen distribution and the horizontal and longitudinal phase movement characteristics of the temperature field during the spontaneous combustion. The results show that the semi-closed coal fire evolution experimental system can better reproduce the natural oxygen absorption process in coal spontaneous combustion, which proves that the natural oxygen absorption effect contributes to the spontaneous combustion of coal mass. During the spontaneous combustion of coal mass, the temperature change time lags behind oxygen concentration change time, and the lag time difference increases with the coal seam depth. The migration trend in the high-temperature area in the horizontal direction is mainly affected by the distribution of cracks and pores at coal body. The natural oxygen absorption intensity and the peak temperature at measuring points decrease with the coal body depth growing, and the oxygen concentration in the lower area without spontaneous combustion is greater than that in the upper layer. The research results provide a theoretical basis for the prevention and control of spontaneous combustion of loose coal under mining, transportation and storage conditions.
- loose coal /
- natural oxygen absorption effect /
- high-temperature area /
- temperature characteristics /
- oxygen concentration

HTML全文

图 1 实验系统

Figure 1. Experimental system

下载: 全尺寸图片幻灯片

图 2 半封闭煤火发展演化模拟实验装置

Figure 2. Device for simulating semi-closed coal fire evolution

下载: 全尺寸图片幻灯片

图 3 氧气浓度变化与时间关系曲线

Figure 3. Curves of oxygen concentration versus time

下载: 全尺寸图片幻灯片

图 4 自然吸氧强度变化与时间关系曲线

Figure 4. Curves of natural absorption oxygen intensity versus time

下载: 全尺寸图片幻灯片

图 5 在空气气氛下的TG及DTG曲线

Figure 5. TG and DTG curves in air atmosphere

下载: 全尺寸图片幻灯片

图 6 纵向温度变化与时间关系

Figure 6. Relationship between longitudinal temperature change and time

下载: 全尺寸图片幻灯片

图 7 温度变化与距离关系

Figure 7. Relationship between temperature change and distance

下载: 全尺寸图片幻灯片

图 8 温升速率随时间变化曲线

Figure 8. Curves of temperature rising rate over time

下载: 全尺寸图片幻灯片

图 9 温度变化与时间关系

Figure 9. Relationship between temperature change and time

下载: 全尺寸图片幻灯片

表 1 实验条件

Table 1. Experimental conditions

项目	煤样	粒径/mm	室温/℃	湿度/%	煤高/mm	装煤量/kg
参数	孟村	10	6	68	480	57.7

下载: 导出CSV

表 2 煤质分析

Table 2. Coal quality analysis %

工业分析				元素成分分析
M_ad	A_ad	V_ad	FC_ad	C	H	O	N	S
4.4	14.0	33.5	48.0	78.8	4.7	14.2	1.3	0.8

下载: 导出CSV

表 3 不同氧化自燃阶段温度划分

Table 3. Temperature levels in oxidized spontaneous combustion

阶段	氧化自燃阶段	平均温度范围/℃
第一阶段	缓慢氧化阶段	0～111.0
第二阶段	快速升温阶段	112.0～303.0
第三阶段	高温自燃阶段	304.0～604.0

下载: 导出CSV

表 4 纵向测点到达各阶段的时间与温度

Table 4. Time and temperature of longitudinal measuring points at each phase

阶段	P_TC1		P_TC2		P_TC3		P_TC4		P_TC5
阶段	时段/h	温度/℃	时段/h	温度/℃	时段/h	温度/℃	时段/h	温度/℃	时段/h	温度/℃
第一阶段	0～4.5	121.0	0～12.0	132.0	0～14.0	120.0	0～19.5	115.0	0～32.5	121.0
第二阶段	4.5～6.5	316.0	12.0～13.5	314.0	14.0～16.0	308.0	19.5～21.0	301.0	23.5～48.0	302.0
第三阶段	6.5～23.0	602.0	13.5～24.0	598.0	16.0～48.0	577.0	21.0～43.0	492.0	48.0～73.0	476.0

下载: 导出CSV

参考文献(29)

[1]	XU J P, GAO W, XIE H P, et al. Integrated tech-paradigm based innovative approach towards ecological coal mining[J]. Energy, 2018, 151: 297-308. doi: 10.1016/j.energy.2018.02.090
[2]	邓军,赵婧昱,张嬿妮,等. 不同变质程度煤二次氧化自燃的微观特性试验[J]. 煤炭学报,2016,41(5): 1164-1172. DENG Jun, ZHAO Jingyu, ZHANG Yanni, et al. Micro-characteristics of spontaneous combustion of second oxidation with different rank coals[J]. Journal of China Coal Society, 2016, 41(5): 1164-1172.
[3]	王佟,张博,王庆伟,等. 中国绿色煤炭资源概念和内涵及评价[J]. 煤田地质与勘探,2017,45(1): 1-8,13. doi: 10.3969/j.issn.1001-1986.2017.01.001 WANG Tong, ZHANG Bo, WANG Qingwei, et al. Green coal resources in China: concept, characteristics and assessment[J]. Coal Geology & Exploration, 2017, 45(1): 1-8,13. doi: 10.3969/j.issn.1001-1986.2017.01.001
[4]	邓军,李贝,王凯,等. 我国煤火灾害防治技术研究现状及展望[J]. 煤炭科学技术,2016,44(10): 1-7,101. doi: 10.13199/j.cnki.cst.2016.10.001 DENG Jun, LI Bei, WANG Kai, et al. Research status and outlook on prevention and control technology of coal fire disaster in China[J]. Coal Science and Technology, 2016, 44(10): 1-7,101. doi: 10.13199/j.cnki.cst.2016.10.001
[5]	曾强,聂静,蒲燕. 地下煤火土壤典型重金属分布特征[J]. 煤炭学报,2016,41(8): 1989-1996. ZENG Qiang, NIE Jing, PU Yan. Characteristics of the distribution of typical heavy metals in the soils of underground coal fire[J]. Journal of China Coal Society, 2016, 41(8): 1989-1996.
[6]	聂静,曾强,蒲燕,等. 地下煤火土壤典型重金属砷迁移规律[J]. 煤炭学报,2017,42(2): 527-537. NIE Jing, ZENG Qiang, PU Yan, et al. Migration of typical heavy metal as in the soil of underground coal fire[J]. Journal of China Coal Society, 2017, 42(2): 527-537.
[7]	文虎,程小蛟,许延辉,等. 松散煤体自然发火过程氡析出及运移规律[J]. 煤炭学报,2019,44(9): 2816-2823. WEN Hu, CHENG Xiaojiao, XU Yanhui, et al. Law of radon precipitation and migration in loose coal during spontaneous combustion process[J]. Journal of China Coal Society, 2019, 44(9): 2816-2823.
[8]	SONG Z Y, ZHU H Q, TAN B, et al. Numerical study on effects of air leakages from abandoned galleries on hill-side coal fires[J]. Fire Safety Journal, 2014, 69: 99-110. doi: 10.1016/j.firesaf.2014.08.011
[9]	QIN B T, WANG H T, YANG J Z, et al. Large-area goaf fires: a numerical method for locating high-temperature zones and assessing the effect of liquid nitrogen fire control[J]. Environmental Earth Sciences, 2016, 75(21): 1396.1-1396.14.
[10]	邓军,徐精彩,张辛亥. 综放面采空区温度场动态数学模化及应用[J]. 中国矿业大学学报,1999,28(2): 179-181. doi: 10.3321/j.issn:1000-1964.1999.02.023 DENG Jun, XU Jingcai, ZHANG Xinhai. Dynamic computer simulation of temperature field in goaf areas of fully mechanized roof coal caving face[J]. Journal of China University of Mining and Technology, 1999, 28(2): 179-181. doi: 10.3321/j.issn:1000-1964.1999.02.023
[11]	褚廷湘,李品,余明高. 水分相变下松散煤体导热系数的数值模拟研究[J]. 煤炭学报,2017,42(7): 1782-1789. CHU Tingxiang, LI Pin, YU Minggao. Simulation study of water phase transition effects on thermal conductivity of loose coal[J]. Journal of China Coal Society, 2017, 42(7): 1782-1789.
[12]	蔡灿凡. 煤田火灾温度场及应力场演化过程相似模拟实验研究[D]. 西安: 西安科技大学, 2017.
[13]	赵晓虎,孙鹏帅,杨眷,等. 应用于煤自燃指标气体体积分数在线监测系统[J]. 煤炭学报,2021,46(增1): 319-327. doi: 10.13225/j.cnki.jccs.2020.1368 ZHAO Xiaohu, SUN Pengshuai, YANG Juan, et al. Online monitoring system of index gases concentration applied to coal sponta-neous combustion[J]. Journal of China Coal Society, 2021, 46(S1): 319-327. doi: 10.13225/j.cnki.jccs.2020.1368
[14]	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, et al. Key functional groups affecting the release of gaseous products during spontaneous combustion of coal[J]. Chinese Journal of Engineering, 2020, 42(9): 1139-1148.
[15]	赵婧昱,宋佳佳,郭涛,等. 基于煤火发展演化的松散煤体自燃温度纵深蔓延特征[J]. 煤炭学报,2021,46(6): 1759-1767. ZHAO Jingyu, SONG Jiajia, GUO Tao, et al. Temperature field migration characteristics of loose coal based on experimental scale[J]. Journal of China Coal Society, 2021, 46(6): 1759-1767.
[16]	李林,陈军朝,姜德义,等. 煤自燃全过程高温区域及指标气体时空变化实验研究[J]. 煤炭学报,2016,41(2): 444-450. LI Lin, CHEN Junchao, JIANG Deyi, et al. Experimental study on temporal variation of high temperature region and index gas of coal spontaneous combustion[J]. Journal of China Coal Society, 2016, 41(2): 444-450.
[17]	张九零,朱定,朱壮. 煤变质程度对煤自燃特性的影响[J]. 矿业安全与环保,2020,47(3): 42-44. ZHANG Jiuling, ZHU Ding, ZHU Zhuang. The influence of metamorphism degree on spontaneous combustion characteristics of coal[J]. Mining Safety & Environmental Protection, 2020, 47(3): 42-44.
[18]	王海燕,周心权,张红军,等. 煤田露头自燃的渗流-热动力耦合模型及应用[J]. 北京科技大学学报,2010,32(2): 152-157. WANG Haiyan, ZHOU Xinquan, ZHANG Hongjun, et al. Seepage-thermal dynamical coupling model for spontaneous combustion of coalfield outcrop and its application[J]. Journal of University of Science and Technology Beijing, 2010, 32(2): 152-157.
[19]	陈晓坤,李海涛,王秋红,等. 高温松散煤体自吸氧试验装置研制及应用[J]. 中国安全科学学报,2015,25(10): 29-34. CHEN Xiaokun, LI Haitao, WANG Qiuhong, et al. Development and application of experimental device for studying oxygen absorption by high temperature loose coal[J]. China Safety Science Journal, 2015, 25(10): 29-34.
[20]	吴国光,张永建,王光友,等. 松散煤体中空气渗流规律的试验研究[J]. 煤炭科学技术,2009,37(8): 42-45. WU Guoguang, ZHANG Yongjian, WANG Guangyou, et al. Test and study on air transfusion law in loose coal mass[J]. Coal Science and Technology, 2009, 37(8): 42-45.
[21]	ONIFADE M, GENC B. A review of research on spontaneous combustion of coal[J]. International Journal of Mining Science and Technology, 2020, 30(3): 303-311. doi: 10.1016/j.ijmst.2020.03.001
[22]	郭兴明,徐精彩,惠世恩. 松散煤体中氧气输运过程的理论分析[J]. 煤炭学报,2001,26(6): 643-648. doi: 10.3321/j.issn:0253-9993.2001.06.016 GUO Xingming, XU Jingcai, HUI Shien. Theoretical analysis on law of transporting oxygen in the loose coal[J]. Journal of China Coal Society, 2001, 26(6): 643-648. doi: 10.3321/j.issn:0253-9993.2001.06.016
[23]	张英华,周佩玲,黄志安,等. 联络巷对采空区氧化升温带影响的多场耦合模拟研究[J]. 工程科学学报,2016,38(8): 1050-1058. ZHANG Yinghua, ZHOU Peiling, HUANG Zhian, et al. Multi-field coupling numerical simulation of the crossheading effect on oxidization and heat accumulation zones in gob areas[J]. Chinese Journal of Engineering, 2016, 38(8): 1050-1058.
[24]	周佩玲,张英华,黄志安,等. 非均质孔隙率采空区氧化升温规律四维动态模拟[J]. 工程科学学报,2016,38(10): 1350-1358. ZHOU Peiling, ZHANG Yinghua, HUANG Zhian, et al. 4D dynamic simulation of coal oxidation heating law in gobs with heterogeneous porosity[J]. Chinese Journal of Engineering, 2016, 38(10): 1350-1358.
[25]	邓军,徐精彩,李莉,等. 不同氧气浓度煤样耗氧特性实验研究[J]. 湘潭矿业学院学报,2001,16(2): 12-14,18. doi: 10.3969/j.issn.1672-9102.2001.02.004 DENG Jun, XU Jingcai, LI Li, et al. Experimental investigation on the relationship of oxygen consumption rate of coal and the concentration of oxygen[J]. Journal of Xiangtan Mining Institute, 2001, 16(2): 12-14,18. doi: 10.3969/j.issn.1672-9102.2001.02.004
[26]	朱红青,王海燕,沈静,等. 氧浓度对松散煤耗氧速率影响的实验研究[J]. 煤炭工程,2013,45(8): 110-112,115. ZHU Hongqing, WANG Haiyan, SHEN Jing, et al. Experiment study on oxygen concentration affected to oxygen consumption rate of loose coal[J]. Coal Engineering, 2013, 45(8): 110-112,115.
[27]	谭波,牛会永,和超楠,等. 回采情况下采空区煤自燃温度场理论与数值分析[J]. 中南大学学报(自然科学版),2013,44(1): 381-387. TAN Bo, NIU Huiyong, HE Chaonan, et al. Goaf coal spontaneous combustion temperature field theory and numerical analysis under mining conditions[J]. Journal of Central South University (Science and Technology), 2013, 44(1): 381-387.
[28]	曹代勇,樊新杰,吴查查,等. 内蒙古乌达煤田火区相关裂隙研究[J]. 煤炭学报,2009,34(8): 1009-1014. doi: 10.3321/j.issn:0253-9993.2009.08.001 CAO Daiyong, FAN Xinjie, WU Chacha, et al. Study on the fractures related with coalfield fire area in Wuda coalfield, Inner Mongolia[J]. Journal of China Coal Society, 2009, 34(8): 1009-1014. doi: 10.3321/j.issn:0253-9993.2009.08.001
[29]	KRISHNASWAMY S, BHAT S, GUNN R D, et al. Low-temperature oxidation of coal: a single-particle reaction-diffusion model[J]. Fuel, 1996, 75(3): 333-343. doi: 10.1016/0016-2361(95)00180-8

施引文献

期刊类型引用(19)

1.	唐兆祥，许万涛，邓昊，卢文杰. 基于机会约束规划的含电动汽车市域铁路牵引供电系统优化运行. 储能科学与技术. 2024(02): 526-535 . 百度学术
2.	刘明亮，田忠北，董鸿志，郑俊锋，朱东坡. 考虑节能降耗的轨道牵引供电系统优化仿真模型. 自动化与仪器仪表. 2024(02): 82-86 . 百度学术
3.	李光耀，袁佳歆，甘栋良，杨爱民. 高铁新能源混合储能系统低碳经济优化运行研究. 电气工程学报. 2024(01): 67-78 . 百度学术
4.	赵丽颖，张灵芝，郑焕坤，龚事引. 考虑光伏和能量调度装置的电气化铁路储能运行调度. 东北电力大学学报. 2024(02): 51-57 . 百度学术
5.	李俊豪，涂春鸣，王鑫，郭祺，肖凡. 基于“规则+优化”的电气化铁路站点实时能量管控策略. 电工技术学报. 2024(11): 3339-3352 . 百度学术
6.	高锋阳，宋志翔，高建宁，高翾宇，杨凯文. 计及光伏和储能接入的牵引供电系统日前调度. 上海交通大学学报. 2024(05): 760-775 . 百度学术
7.	周萌，于龙，王子龙. “双碳”目标下电气化铁路源网车储关键技术研究. 电力电子技术. 2024(07): 80-85 . 百度学术
8.	王飞阳，陈玉新. 多维度融合发展策略下城市轨道交通碳排放测算模型. 市政技术. 2024(08): 130-135+161 . 百度学术
9.	康德建，胡亮，乔美林，杨步荣. 基于运行图优化的重载牵引负荷削峰策略研究. 电气化铁道. 2024(04): 82-85 . 百度学术
10.	秦浩庭，钟帆. 光伏接入铁路牵引供电系统谐振特性分析. 铁道标准设计. 2024(12): 169-175 . 百度学术
11.	陈冲，贾利民，赵天宇，邵晨虎，王扬慧. 光伏和储能植入铁路牵引供电系统的拓扑架构与控制策略研究综述. 电工技术学报. 2024(24): 7874-7901 . 百度学术
12.	刘继宗，张祖涛，王浩，孔苓吉，伊敏熠，朱忠尹. 城轨交通制动能量利用技术研究现状与展望. 西南交通大学学报. 2024(06): 1322-1345 . 本站查看
13.	陈民武，陈垠宇，徐烈，崔明建. 基于机会约束的贯通式同相牵引供电系统分布式优化运行策略. 中国电机工程学报. 2024(24): 9583-9594 . 百度学术
14.	董文哲，杨斯泐，梁宗佑，陈垠宇. 集成混合储能及RPC的牵引供电系统优化运行. 储能科学与技术. 2023(04): 1185-1193 . 百度学术
15.	周桔红，刘建委，殷杰，陈朝晖，贾沛，周海琦，冯玎，林圣. 地铁交流供电系统无功平衡策略研究——以广州地铁18号线为例. 都市快轨交通. 2023(03): 160-167 . 百度学术
16.	赵宏程，李再华，赖俊宏，陈垠宇，张波琦，龚康华，曾毅. 基于RPC的混合储能接入双流制牵引供电系统协调运行方法. 储能科学与技术. 2023(09): 2862-2870 . 百度学术
17.	陈垠宇，陈民武，李东阳，范家彬，梁宗佑，李波. 计及牵引负荷不确定性的同相供电系统随机优化运行策略. 中国铁道科学. 2023(05): 191-200 . 百度学术
18.	刘骆川，黄大锐. 牵引供电系统光储接入方案及其控制策略. 电工技术. 2023(18): 44-48 . 百度学术
19.	龚志恒，张翼扬，朱楚扬，赵鼎威，刘湘. 计及新能源接入的柔性牵引供电系统区间最优潮流研究. 电工技术. 2022(24): 48-52+57 . 百度学术