Combustion Kinetics and Mechanism of Pre-Oxidized Coal with Different Oxygen Concentrations

动力学 燃烧 机制(生物学) 氧气 化学 化学工程 环境化学 物理化学 有机化学 工程类 物理 量子力学
作者
Haohao Fan,Kai Wang,Xiaowei Zhai,Lihong Hu
出处
期刊:ACS omega [American Chemical Society]
卷期号:6 (29): 19170-19182 被引量:25
标识
DOI:10.1021/acsomega.1c02520
摘要

The phenomenon of spontaneous combustion of "oxidized coal" is common in mining processes of goafs, thick coal seams, and unsealing of closed fire areas. In order to study the reburning characteristics of coal with different oxidation degrees, the oxygen concentration in the pre-oxidation process was selected as the key influencing factor. Thermogravimetric analysis (TGA) and in situ Fourier-transform infrared (FT-IR) spectroscopy were used to study the macro- and microcharacteristics of raw and oxidized coal during the combustion stage. The results showed that the pre-oxidation treatment exhibited a dual effect on promoting and inhibiting the weight loss characteristics of oxidized coal. The apparent activation energy, Ea, of the combustion reaction for the utilized coal samples was calculated using the Flynn–Wall–Ozawa (FWO) and Kissinger–Akahira–Sunose (KAS) methods, and it was found that the average apparent activation energy (Ea̅) values of the oxidized coal samples were less in magnitude than that of the raw coal and that the coal sample with the pre-oxidized oxygen concentration of 15% was more prone to the combustion reaction. Using the correlation determination method of key active groups in the proposed coal combustion reaction, the key active groups affecting the weight change of the tested coal samples during the combustion stage were determined as −CH3 and C–O. The results can be helpful to prevent and control coal spontaneous combustion during re-mining and unsealing of closed fire areas.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xiaohei完成签到,获得积分20
2秒前
simon完成签到,获得积分20
4秒前
joybee完成签到,获得积分0
4秒前
ichi完成签到,获得积分10
4秒前
xiari868发布了新的文献求助10
5秒前
5秒前
余其钵完成签到,获得积分10
7秒前
善良身影完成签到,获得积分10
7秒前
7秒前
说的好哈哈关注了科研通微信公众号
8秒前
Au_完成签到,获得积分10
9秒前
溜溜蛋完成签到,获得积分10
10秒前
molihuakai应助Loretta采纳,获得10
10秒前
高挑的念柏完成签到,获得积分10
10秒前
qsq发布了新的文献求助10
10秒前
hege完成签到,获得积分10
11秒前
mzm完成签到,获得积分10
13秒前
阳二完成签到,获得积分10
13秒前
14秒前
wyb完成签到,获得积分10
17秒前
xiari868完成签到,获得积分20
17秒前
小二郎应助xiangyiyi采纳,获得10
17秒前
爱不爱看化学完成签到,获得积分10
18秒前
hongxuezhi完成签到,获得积分10
18秒前
褚洙完成签到,获得积分10
19秒前
20秒前
高高高完成签到 ,获得积分10
21秒前
21秒前
yufanhui应助科研通管家采纳,获得10
21秒前
潇湘夜雨应助科研通管家采纳,获得10
21秒前
烟花应助xueqinFan采纳,获得10
21秒前
菠菜应助科研通管家采纳,获得10
21秒前
传奇3应助科研通管家采纳,获得10
21秒前
21秒前
Lucas应助科研通管家采纳,获得10
21秒前
一直成长完成签到,获得积分10
22秒前
Hello应助科研通管家采纳,获得10
22秒前
菠菜应助科研通管家采纳,获得10
22秒前
斯文败类应助科研通管家采纳,获得10
22秒前
菠菜应助科研通管家采纳,获得20
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 500
Matrix Methods in Data Mining and Pattern Recognition 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7025336
求助须知:如何正确求助?哪些是违规求助? 8696114
关于积分的说明 18426020
捐赠科研通 6522694
什么是DOI,文献DOI怎么找? 3110445
关于科研通互助平台的介绍 2186608
邀请新用户注册赠送积分活动 2086187