Thermal decomposition mechanism of some hydrocarbons by ReaxFF-based molecular dynamics and density functional theory study

被引:71
|
作者
Xin, Liyong [1 ]
Liu, Chao [1 ]
Liu, Yang [2 ]
Huo, Erguang [1 ]
Li, Qibin [1 ]
Wang, Xurong [1 ]
Cheng, Qinglin [2 ]
机构
[1] Chongqing Univ, Sch Energy & Power Engn, Key Lab Low Grade Energy Utilizat Technol & Syst, Minist Educ, Chongqing 400030, Peoples R China
[2] Northeast Petr Univ, Key Lab, Minist Educ Enhancing Oil & Gas Recovery Ratio, Daqing 163318, Peoples R China
基金
中国国家自然科学基金;
关键词
Hydrocarbons; ReaxFF; Density functional theory (DFT); Thermal decomposition; ORGANIC RANKINE-CYCLE; REACTIVE FORCE-FIELD; PYROLYSIS MECHANISM; WORKING FLUIDS; HFO-1336MZZ(Z); SIMULATIONS; HFO-1234YF; STABILITY; OXIDATION; TEMPERATURE;
D O I
10.1016/j.fuel.2020.117885
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
In order to investigate the decomposition mechanism of hydrocarbons, pyrolysis processes of 11 typical hydrocarbons (isobutane, isopentane, isohexane, n-butane, n-pentane, n-hexane, cyclobutane, cyclopentane, cyclohexane, benzene and toluene) are performed by using ReaxFF MD and DFT method. The results show that the initial pyrolysis reactions of these hydrocarbons can be divided into two types: homolytic cleavage of C-H bond and C-C bond. The bond dissociation energies of C-H bonds are higher than that of C-C bonds in these hydrocarbons except for toluene. The thermal decomposition rates of branched-chain hydrocarbons are faster than that of straight-chain hydrocarbons. The thermal decomposition rates of chain hydrocarbons gradually increase with the increases of C atom number. The main product molecules of hydrocarbon pyrolysis are H-2, CH4, C2H2 and C2H4. The apparent activation energies of 4 hydrocarbons (n-pentane, isohexane, neopentane and cyclopentane) pyrolysis are calculated by the kinetic analysis. In further reactions, CH3, C2H5 and H radicals are collided with hydrocarbons to undergo H-abstraction reactions. The energy barriers of H-abstraction reactions are calculated by DFT.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Density Functional Theory Ab Initio Molecular Dynamics and Combined Density Functional Theory and Molecular Dynamics Simulations
    Ctr. de Rech. en Calcul Appl., Bureau 400, 5160 Boulevard Décarie, Montréal, Que. H3X 2H9, Canada
    不详
    ACS Symp Ser, (159-169):
  • [42] Thermal stability of twin graphene: A Reaxff molecular dynamics study
    Li, Jianxin
    Zhang, Hongwei
    Jiang, Jin-Wu
    Chang, Tienchong
    APPLIED SURFACE SCIENCE, 2023, 623
  • [43] Density functional theory based molecular-dynamics study of aqueous iodide solvation
    Heuft, JM
    Meijer, EJ
    JOURNAL OF CHEMICAL PHYSICS, 2005, 123 (09):
  • [44] Clustering behaviour in bimetallic clusters: a density functional theory based molecular dynamics study
    Majumder, C
    Kulshreshtha, SK
    Das, GP
    Kanhere, DG
    CHEMICAL PHYSICS LETTERS, 1999, 311 (1-2) : 62 - 68
  • [45] Density functional theory based molecular-dynamics study of aqueous fluoride solvation
    Heuft, JM
    Meijer, EJ
    JOURNAL OF CHEMICAL PHYSICS, 2005, 122 (09):
  • [46] Density functional theory based molecular-dynamics study of aqueous chloride solvation
    Heuft, JM
    Meijer, EJ
    JOURNAL OF CHEMICAL PHYSICS, 2003, 119 (22): : 11788 - 11791
  • [47] Development and application of a ReaxFF reactive force field for molecular dynamics of perfluorinatedketones thermal decomposition
    Liu, Yue
    Hu, Jiayi
    Hou, Hua
    Wang, Baoshan
    CHEMICAL PHYSICS, 2020, 538
  • [48] Thermal decomposition of HFO-1234yf through ReaxFF molecular dynamics simulation
    Cao, Yu
    Liu, Chao
    Zhang, Hao
    Xu, Xiaoxiao
    Li, Qibin
    APPLIED THERMAL ENGINEERING, 2017, 126 : 330 - 338
  • [49] Investigation of kerogen thermal decomposition mechanisms and kinetics via ReaxFF molecular dynamics simulations
    Hu, Shide
    JOURNAL OF MOLECULAR MODELING, 2021, 27 (07)
  • [50] Investigation of kerogen thermal decomposition mechanisms and kinetics via ReaxFF molecular dynamics simulations
    Shide Hu
    Journal of Molecular Modeling, 2021, 27