Recent progress toward molecular-level kinetic model for complex hydrocarbon conversion processes

被引:2
作者
Chen, Zhengyu [1 ]
Zhao, Xiangyu [1 ]
Wu, Jian [1 ]
Xu, Chunming [1 ]
Zhang, Linzhou [1 ]
机构
[1] China Univ Petr, Petr Mol Engn Ctr PMEC, State Key Lab Heavy Oil Proc, Beijing 102249, Peoples R China
基金
中国国家自然科学基金;
关键词
Complex conversion system; Hydrocarbon mixtures; Petroleum refining; Molecular-level kinetic model; Reactor model; REACTION NETWORK GENERATION; POLYNUCLEAR AROMATIC-HYDROCARBONS; CATALYTIC CRACKING PROCESS; STEAM CRACKING; REACTION PATHWAYS; THERMAL-CRACKING; THERMAL/CATALYTIC CRACKING; PARAFFIN HYDROCRACKING; COMPUTER-GENERATION; MICROKINETIC MODEL;
D O I
10.1016/j.cej.2024.150462
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The simulation and optimization of complex molecular conversion systems are one of the primary challenges in the chemical reaction engineering field. Petroleum refining is a typically complex hydrocarbon conversion system. Building a molecular-level kinetic model for petroleum refining is a crucial basic technology for precisely utilizing petroleum resources. This work briefly describes the typical approach for developing the molecularlevel kinetic model. 5 representative frameworks for modeling the molecular-level kinetic model were summarized, containing the single-event approach, bond-electron matrix, structure-oriented lumping, structural unit and bond-electron matrix framework, and molecular type homologous series matrix. The application cases of these frameworks to typical hydrocarbon conversion processes were reviewed. On this basis, this work analyzed the issues and challenges of molecular-level kinetic models for industrial practice. The future direction for the model was also discussed. Moreover, this work believes that building a data-driven model will be the upcoming trend for simulating and optimizing the complex molecular reaction system.
引用
收藏
页数:23
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共 179 条
  • [1] Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling
    Abelairas, Maria Lopez
    de Oliveira, Luis P.
    Verstraete, Jan J.
    [J]. CATALYSIS TODAY, 2016, 271 : 188 - 198
  • [2] Molecular-Level Kinetic Modeling of a Real Vacuum Gas Oil Hydroprocessing Refinery System
    Agarwal, Pratyush
    Sahasrabudhe, Mayuresh
    Khandalkar, Sumit
    Sarayanan, Chandra
    Klein, Michael T.
    [J]. ENERGY & FUELS, 2019, 33 (10) : 10143 - 10158
  • [3] Molecular-Level Kinetic Modeling of Triglyceride Hydroprocessing
    Agarwal, Pratyush
    Al-Khattaf, Sulaiman S.
    Klein, Michael T.
    [J]. ENERGY & FUELS, 2019, 33 (08) : 7377 - 7384
  • [4] Modeling Coil and Soaker Reactors for Visbreaking
    Aguilar, Rodolfo A.
    Ancheyta, Jorge
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2016, 55 (04) : 912 - 924
  • [5] One-step conversion of crude oil to light olefins using a multi-zone reactor
    Alabdullah, Mohammed
    Rodriguez-Gomez, Alberto
    Shoinkhorova, Tuiana
    Dikhtiarenko, Alla
    Chowdhury, Abhishek Dutta
    Hita, Idoia
    Kulkarni, Shekhar R.
    Vittenet, Jullian
    Sarathy, S. Mani
    Castano, Pedro
    Bendjeriou-Sedjerari, Anissa
    Abou-Hamad, Edy
    Zhang, Wen
    Ali, Ola S.
    Morales-Osorio, Isidoro
    Xu, Wei
    Gascon, Jorge
    [J]. NATURE CATALYSIS, 2021, 4 (03) : 233 - 241
  • [6] Molecular Kinetic Modeling of Catalytic Naphtha Reforming: A Review of Complexities and Solutions
    Ali, Syed A.
    Alshareef, Ali H.
    Theravalappil, Rajesh
    Alasiri, Hassan S.
    Hossain, Mohammad M.
    [J]. CATALYSIS REVIEWS-SCIENCE AND ENGINEERING, 2023, 65 (04): : 1358 - 1411
  • [7] Exploring the Conversion Limits of Bitumen Visbreaking through a Molecular Reaction Model
    Alvarez-Majmutov, Anton
    [J]. ENERGY & FUELS, 2023, 37 (17) : 12685 - 12695
  • [8] Enhanced Representation of Thermal Cracking Chemistry in the Context of Bitumen Partial Upgrading
    Alvarez-Majmutov, Anton
    Gieleciak, Rafal
    Chen, Jinwen
    [J]. ENERGY & FUELS, 2021, 35 (15) : 12005 - 12018
  • [9] Stochastic Modeling and Simulation Approach for Industrial Fixed Bed Hydrocrackers
    Alvarez-Majmutov, Anton
    Chen, Jinwen
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2017, 56 (24) : 6926 - 6938
  • [10] Alvarez-Majmutov A, 2016, ENERG FUEL, V30, P138, DOI [10.1021/acs.energyfuels.5b02084, 10.1021/acs.energyfuels.5b02082]