Investigation of model scale effects on coal pyrolysis using ReaxFF MD simulation

被引:71
作者
Zheng, Mo [1 ]
Li, Xiaoxia [1 ,2 ]
Nie, Fengguang [1 ]
Guo, Li [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Sch Chem & Chem Engn, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
ReaxFF MD; model scale effect; coal pyrolysis; large-scale coal model; reaction mechanism; REACTIVE FORCE-FIELD; MOLECULAR-MODEL; COMBUSTION; MECHANISMS; BEHAVIOR;
D O I
10.1080/08927022.2017.1356456
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070305 [高分子化学与物理];
摘要
ReaxFF MD is a promising method for exploring complex chemical reactions, allowing large coal molecular systems simulated at high temperature. Due to the amorphous and diverse nature of coal chemical structure, model scale effect on the simulation of coal pyrolysis can be a big issue, which was investigated by comparing heat-up ReaxFF MD simulations of three Liulin coal models with 2338, 13,498 and 98,900 atoms. ReaxFF MD simulation results show its consistency in the observed trends of weight loss profiles and product generations lumped by C number for different model scales. The small-scale coal model facilitates observation of reaction sites, but can hardly access reasonable evolving trends of products and reactions. ReaxFF MD simulations of the coal model in middle scale can obtain much better evolving trends of pyrolyzates and reproduce some reaction pathways. But certain fluctuations or randomness of reactions still exist in the evolution trends of representative products. The diversity of chemical reactions in coal pyrolysis can be much more accessible by employing the large-scale coal model, thus permitting distinguishable evolving trends in pyrolyzates.
引用
收藏
页码:1081 / 1088
页数:8
相关论文
共 35 条
[1]
ReaxFF Study of the Oxidation of Lignin Model Compounds for the Most Common Linkages in Softwood in View of Carbon Fiber Production [J].
Beste, Anana .
JOURNAL OF PHYSICAL CHEMISTRY A, 2014, 118 (05) :803-814
[2]
Insights on the combustion and pyrolysis behavior of three different ranks of coals using reactive molecular dynamics simulation [J].
Bhoi, Sanjukta ;
Banerjee, Tamal ;
Mohanty, Kaustubha .
RSC ADVANCES, 2016, 6 (04) :2559-2570
[3]
OXYGEN GROUPS AND OIL SUPPRESSION DURING COAL PYROLYSIS [J].
BOUDOU, JP ;
ESPITALIE, J ;
BIMER, J ;
SALBUT, PD .
ENERGY & FUELS, 1994, 8 (04) :972-977
[4]
Pyrolysis of a large-scale molecular model for Illinois no. 6 coal using the ReaxFF reactive force field [J].
Castro-Marcano, Fidel ;
Russo, Michael F., Jr. ;
van Duin, Adri C. T. ;
Mathews, Jonathan P. .
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS, 2014, 109 :79-89
[5]
A molecular model for Illinois No. 6 Argonne Premium coal: Moving toward capturing the continuum structure [J].
Castro-Marcano, Fidel ;
Lobodin, Vladislav V. ;
Rodgers, Ryan P. ;
McKenna, Amy M. ;
Marshall, Alan G. ;
Mathews, Jonathan P. .
FUEL, 2012, 95 (01) :35-49
[6]
Combustion of an Illinois No. 6 coal char simulated using an atomistic char representation and the ReaxFF reactive force field [J].
Castro-Marcano, Fidel ;
Kamat, Amar M. ;
Russo, Michael F., Jr. ;
van Duin, Adri C. T. ;
Mathews, Jonathan P. .
COMBUSTION AND FLAME, 2012, 159 (03) :1272-1285
[7]
THE PATHWAYS FOR THERMAL-DECOMPOSITION OF ARYL ALKYL ETHERS DURING COAL PYROLYSIS [J].
CHATTERJEE, K ;
STOCK, LM ;
ZABRANSKY, RF .
FUEL, 1989, 68 (10) :1349-1353
[8]
A ReaxFF molecular dynamics (MD) simulation for the hydrogenation reaction with coal related model compounds [J].
Chen, Bo ;
Diao, Zhi-Jun ;
Zhao, Yu-Lan ;
Ma, Xiao-Xun .
FUEL, 2015, 154 :114-122
[9]
Using the ReaxFF reactive force field for molecular dynamics simulations of the spontaneous combustion of lignite with the Hatcher lignite model [J].
Chen, Bo ;
Diao, Zhi-jun ;
Lu, Hai-yun .
FUEL, 2014, 116 :7-13
[10]
Coal Pyrolysis in a Laboratory-Scale Two-Stage Reactor: Catalytic Upgrading of Pyrolytic Vapors [J].
Gong, Xiaomin ;
Wang, Ze ;
Li, Songgeng ;
Song, Wenli ;
Lin, Weigang .
CHEMICAL ENGINEERING & TECHNOLOGY, 2014, 37 (12) :2135-2142