化工进展 ›› 2024, Vol. 43 ›› Issue (12): 6583-6588.DOI: 10.16085/j.issn.1000-6613.2024-1269

• 观点 •    

光催化流化聚团动态尺度评估方法

耿启金1(), 崔文文2, 刘莹1, 杨金美1, 王元芳1, 杨华蕾2, 丁加中2, 臧家兴2, 孙厚伟2   

  1. 1.潍坊学院化学化工与环境工程学院,山东 潍坊 261061
    2.潍坊鑫洋化工有限公司,山东 潍坊 261108
  • 收稿日期:2024-08-02 修回日期:2024-09-07 出版日期:2024-12-15 发布日期:2025-01-11
  • 通讯作者: 耿启金
  • 作者简介:耿启金(1969—),男,教授,博士,研究方向为颗粒流动耦合光催化治理环境污染。E-mail:13465686019@163.com
  • 基金资助:
    山东省科技型中小企业创新能力提升工程项目(2022TSGC1227);国家重点研发计划(2021YFB3801400)

Evaluation method for dynamic scale of photocatalytic fluidized agglomerates

GENG Qijin1(), CUI Wenwen2, LIU Ying1, YANG Jinmei1, WANG Yuanfang1, YANG Hualei2, DING Jiazhong2, ZANG Jiaxing2, SUN Houwei2   

  1. 1.Department of Chemistry-Chemical & Environmental Engineering, Weifang University, Weifang 261061, Shandong, China
    2.Weifang Xinyang Chemical Co. , Ltd. , Weifang 261108, Shandong, China
  • Received:2024-08-02 Revised:2024-09-07 Online:2024-12-15 Published:2025-01-11
  • Contact: GENG Qijin

摘要:

在多相流耦合光催化体系中,聚团是动态、多尺度分布的,尺度也是瞬时变化,仅靠宏观或微观方法难以解决光催化流化聚团动态尺度评估难题。本文首先从现代仪器实验检测、数值模拟、数学模型、床层空隙率估算与测量等多方面总结了流化聚团尺度的评估方法,评述了各种方法在实践中的优势特点和局限性。最后针对光催化耦合多相流体系流化聚团动态尺度提出了新的评估思路和理论方法——将多相流耦合光催化体系中的微观信息和宏观参数结合起来,以关键参数反应分子数为关联索引,把构建的碰撞概率函数和空隙率分布函数引入到含有流化聚团活性特征参数的光催化反应动力学方程中,通过代入、迭代和拟合等方法构建关联宏观与微观多尺度信息的流化聚团动态尺度与光催化活性评估模型。

关键词: 聚团, 动态尺度, 评估方法, 多相流, 光催化

Abstract:

For the multi-phase fluidization coupling photocatalysis multi-scaled system, it is a hard nut to crack the evaluation of fluidized agglomerates dynamic scale only by the macro/micro-methods, since the fluidized agglomerates are dynamic, multi-scaled distributed, and changed instantaneously. In this case, the evaluation methods for dynamic scale of photocatalytic fluidized agglomerates in multi-phase fluidization were summarized from modern installment detection, mathematic model, and numerical simulation, evaluation and detection methods of bed voidage, etc. The superiority and limitations of these methods in practice were further analyzed. Finally, the creative thought and method of evaluation of fluidized agglomerates dynamic scale in photocatalysis coupling multi-phase fluidization system were put forward as follows. Combining microscopic information and macroscopic parameters in the multi-phase fluidization coupling photocatalysis multi-scaled system, using the key parameters, such as the number of molecules as the correlation index, by introducing the constructed collision probability function and bed voidage distribution function into the photocatalytic reaction kinetics equation containing fluidized agglomerate reactivity characteristic parameters, the novel agglomerate dynamic scale and photocatalytic reactivity integrated model concerning macro- and micro- information could be achieved by substitution method, iterative method, and fitting technology.

Key words: agglomerate, dynamic scale, evaluation method, multi-phase fluidization, photocatalysis

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