Chemical structure effects on coal pyrolyzates and reactions by using large-scale reactive molecular dynamics

雷亚克夫 化学 热解 热重分析 分子动力学 热力学 有机化学 计算化学 化学工程 无机化学 物理 工程类 原子间势
作者
Mo Zheng,Xiaoxia Li,Jin Bai,Guo Li
出处
期刊:Fuel [Elsevier BV]
卷期号:327: 125089-125089 被引量:33
标识
DOI:10.1016/j.fuel.2022.125089
摘要

The relationship between the coal chemical structure and its thermal reactivity is vital to understand coal pyrolysis behaviors. In order to explore chemical structure effects on pyrolysis process, five large-scale coal models of different ranks were constructed and simulated with ReaxFF MD simulations by a combined approach of high performance computing and cheminformatics based reaction analysis in this work. The qualitative temperature mapping results between ReaxFF MD simulations and thermogravimetry experiments were obtained for the first time through the detected covalent bond breaking, which suggests a promising scheme to map the simulation results to the real world. Importantly, the typical structures in coal can be used as the indicators to predict pyrolysis stages, weight loss profiles and major pyrolyzate distributions from the atomistic level. The starting temperature of coal thermal decomposition is anchored by the parameters of falO in 13C NMR representing alkyl ether amounts; and the largest phenol tar generation links closely to the faP NMR parameter; meanwhile methoxy groups determine the initial generation of CH3 radicals and CH4 at relatively low temperature. Additionally, the dynamic profiles of Car-Car bonds and the second increasing trend for CH3 radicals have strong relationship with recombination reactions. With the reasonable coal structures, the large-scale ReaxFF MD simulation alone can complement experimental observation comprehensively to understand the complex coal thermal chemistry and used as a preliminary screening approach to select the coal type or rank for industrial utilization.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
杜晓雯发布了新的文献求助10
1秒前
三三椋椋发布了新的文献求助10
2秒前
科研通AI5应助niu采纳,获得10
2秒前
2秒前
3秒前
科研通AI2S应助毛先生采纳,获得10
3秒前
坦率尔蓝完成签到,获得积分20
4秒前
4秒前
畅快的觅风完成签到,获得积分10
4秒前
爆米花应助郑郑采纳,获得10
5秒前
6秒前
干饭虫应助T102892采纳,获得10
6秒前
量子星尘发布了新的文献求助30
7秒前
Orange应助麻瓜采纳,获得10
7秒前
Joyce发布了新的文献求助10
8秒前
guoguo1119发布了新的文献求助10
8秒前
喵呜完成签到,获得积分10
9秒前
北北完成签到,获得积分10
9秒前
gk完成签到,获得积分20
10秒前
10秒前
11秒前
核桃应助slowfloat采纳,获得20
11秒前
JamesPei应助B站萧亚轩采纳,获得10
12秒前
搞怪雁风完成签到,获得积分10
12秒前
刘茗元发布了新的文献求助20
12秒前
12秒前
12秒前
12秒前
13秒前
上官若男应助wzc采纳,获得10
14秒前
arzw完成签到,获得积分10
14秒前
传统的妖妖完成签到,获得积分20
16秒前
脑洞疼应助why采纳,获得10
16秒前
搞怪雁风发布了新的文献求助10
17秒前
江湖护卫舰应助zzyluckyzoe采纳,获得10
17秒前
一叶知秋应助杜晓雯采纳,获得10
17秒前
科研通AI5应助凌兰采纳,获得30
18秒前
18秒前
18秒前
Akim应助潘小蓝采纳,获得10
18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
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
By R. Scott Kretchmar - Practical Philosophy of Sport and Physical Activity - 2nd (second) Edition: 2nd (second) Edition 666
Energy-Size Reduction Relationships In Comminution 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4940989
求助须知:如何正确求助?哪些是违规求助? 4207022
关于积分的说明 13076328
捐赠科研通 3985793
什么是DOI,文献DOI怎么找? 2182277
邀请新用户注册赠送积分活动 1197870
关于科研通互助平台的介绍 1110197