化工进展 ›› 2023, Vol. 42 ›› Issue (10): 5047-5058.DOI: 10.16085/j.issn.1000-6613.2022-2138

• 化工过程与装备 • 上一篇    下一篇

气固流化床化学反应数值模拟中颗粒尺度模型研究进展

邱沫凡(), 蒋琳, 刘荣正, 刘兵, 唐亚平, 刘马林()   

  1. 清华大学核能与新能源技术研究院,北京 100084
  • 收稿日期:2022-11-18 修回日期:2023-01-30 出版日期:2023-10-15 发布日期:2023-11-11
  • 通讯作者: 刘马林
  • 作者简介:邱沫凡(1997—),男,硕士研究生,研究方向为颗粒系统流态化反应过程数值模拟。E-mail:qmf20@mails.tsinghua.edu.cn
  • 基金资助:
    国家重大科技专项(ZX06901);国家万人计划青年拔尖人才项目(20224723061)

Research progress of particle-scale model in chemical reaction numerical simulation of gas-solid fluidized bed

QIU Mofan(), JIANG Lin, LIU Rongzheng, LIU Bing, TANG Yaping, LIU Malin()   

  1. Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
  • Received:2022-11-18 Revised:2023-01-30 Online:2023-10-15 Published:2023-11-11
  • Contact: LIU Malin

摘要:

气固流化床由于其优良的气固接触效率和传热传质效率,已经被广泛应用于能源、矿冶、化工、制药等工业领域。本文针对颗粒流态化-反应系统数值模拟研究进行了综述,阐述了数值模拟的三个尺度:化学反应工程模型、双流体模型以及颗粒尺度模型。然后聚焦于基于CFD-DEM方法的变粒径颗粒流态化-化学反应过程模拟,梳理分析了6种颗粒反应模型,即均匀转化模型、缩粒反应模型、缩核反应模型、联合收缩模型、细颗粒反应模型和随机孔隙模型,并从颗粒性质变化、化学反应模型、不同尺度耦合三个角度探讨了不同的颗粒反应模型的优点和应用中的局限性,分析了跨尺度颗粒系统模拟方法的发展近况,最后讨论了CFD-DEM方法在气固流化床化学反应过程模拟的应用上未来可能的发展方向,包括颗粒尺度大规模高效计算算法、颗粒反应模型的精确化以及颗粒-气体信息传递的精细化描述方面。有助于气固流化床化学反应模拟领域的梳理和发展,尤其是可供颗粒尺度模拟领域的研究人员参考和借鉴。

关键词: 气固流化床化学反应, 多尺度模拟方法, 计算流体力学-离散单元法, 颗粒尺度反应模型

Abstract:

Gas-solid fluidized bed has been widely used in energy, mining, chemical, pharmaceutical, and other industrial fields because of its excellent gas-solid contact and heat and mass transfer efficiency. In this paper, the research on the numerical simulation of particle fluidization reaction system is reviewed, and three scales of numerical simulation: chemical reaction engineering model, two-fluid model, and CFD-DEM model in particle scale are compared. This review focuses on the fluidization chemical reaction process with variable particle sizes based on the CFD-DEM method. Six particle reaction models were analyzed: uniform reaction model, shrinking particle model, shrinking core model, hybrid shrinking core & particle model, grain reaction model, and random pore model. The advantages and limitations of different particle reaction models were discussed. The recent development of simulation methods for cross-scale particle systems was analyzed. Finally, the CFD-DEM method's future development in chemical reaction processes simulation was discussed, including large-scale and efficient simulation algorithms, the precision of the particle reaction model, and the accurate description of gas-particle information transfer. This review can provide some guidance for researchers in the field of gas-solid fluidization reaction progress simulation, especially at the particle scale.

Key words: gas-solid fluidized bed chemical reaction, multiscale simulation, computational fluid dynamics-discrete element method (CFD-DEM), particle-scale reaction model

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