用于处理挥发性有机物的生物反应器模型研究进展

高曈; 李琳; 韩云平

doi:10.13205/j.hjgc.202505010

用于处理挥发性有机物的生物反应器模型研究进展

doi: 10.13205/j.hjgc.202505010

高曈^1,2,
李琳^1,2, ,,
韩云平^1,2

1. 中国科学院生态环境研究中心, 北京 100085;
2. 中国科学院大学, 北京 100049

基金项目:

国家重点研发计划项目（023YFC3707500）

详细信息

作者简介:
高曈（1997—），男，博士研究生，主要研究方向为恶臭与VOCs气体高效净化系统与新技术。tonggao_st@rcees.ac.cn

通讯作者:
李琳（1966—），女，研究员，主要研究方向为挥发性有机废气及恶臭物质生物转化机制与处理技术研究。leel@rcees.ac.cn。

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出版历程
- 收稿日期: 2024-02-26
- 录用日期: 2024-05-18
- 修回日期: 2024-04-12
- 网络出版日期: 2025-09-11

Research progress on bioreactor models for treatment of volatile organic compounds

GAO Tong^1,2,
LI Lin^{1,2
, ,},
HAN Yunping^1,2

1. Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

摘要

摘要: 挥发性有机物（VOCs）是大气中一类重要的污染物。生物净化技术处理大流量、低浓度的VOC，具有反应条件温和、运行费用低、二次污染小的优点，因而被广泛应用。建立适当的反应器模型可以有效地模拟反应器的运行、化学反应以及物质传递过程。早期建立的模型主要用于模拟气体流动、相转移、生物膜内降解和生物生长的生物膜动力学，并且模型的建立方法相对标准，被业内普遍接受和使用。近年来，随着流体力学、数学和计算机等高新技术的发展，新的模型能够模拟更加复杂的工艺条件，同时确保模型的可重复性和稳定性。综述了用于处理VOCs的生物反应器模型的研究进展，重点介绍了经典的生物膜动力学模型、生物反应器计算流体动力学模型，以及人工神经网络模型。阐述了各类模型的基本原理、重要参数、应用条件及研究现状。分析了生物反应器模型研究的不足和未来发展的趋势，以期深入揭示VOC生物转化过程、改进生物处理系统的设计和指导实践提供科学依据。
- 生物反应器 /
- 挥发性有机物 /
- 数值模型 /
- 反应机理
Abstract: Volatile organic compounds （VOCs） are a significant class of pollutants in the atmosphere. Biological technology is widely used in treating VOCs with large air flow rates and low concentrations， because of the advantages of mild reaction conditions， low economic cost， and minimal secondary pollution. Proper reactor modeling can effectively simulate reactor operation， chemical reactions， and substance transport processes. The early models were mainly used to simulate the biofilm dynamics of gas flow， phase transfer， biodegradation， and biological growth. The methods used to establish the models were relatively standard， generally accepted， and widely used in industry. In recent years， with the development of fluid mechanics， mathematics， and computer science， new models can simulate more complex processes while ensuring the repeatability and stability. In this paper， the research progress of bioreactor models for VOCs was reviewed， focusing on the classical biofilm dynamics model， the computational fluid dynamics（CFD） model for bioreactors， and the artificial neural network（ANN） model. The basic principles， important parameters， application conditions and research status of various models were expounded. The shortcomings and future development trends of bioreactor models were also analyzed， providing a scientific basis for revealing the VOC biodegradation process and improving the design and practical application of biological treatment systems. In the future， more attention should be paid to improving the combination of artificial neural network model and the CFD model to improve its operability and universality.
- bioreactors /
- volatile organic compounds /
- numerical models /
- reaction mechanisms

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