Chemical Industry and Engineering Progress ›› 2020, Vol. 39 ›› Issue (1): 402-412.DOI: 10.16085/j.issn.1000-6613.2019-0686

• Resources and environmental engineering • Previous Articles     Next Articles

Process parameters optimization for degradation of benzene by non-thermal plasma

Chunyu WANG1,2(),Ling ZHU2(),Danyun XU2,Qingyue LUO2   

  1. 1. College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China
    2. School of Mechanical Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, China
  • Received:2019-04-26 Online:2020-01-14 Published:2020-01-05
  • Contact: Ling ZHU

低温等离子体降解苯的工艺参数优化

王春雨1,2(),朱玲2(),许丹芸2,罗清月2   

  1. 1. 北京工业大学环境与能源工程学院,北京 100124
    2. 北京石油化工学院机械工程学院,北京 102617
  • 通讯作者: 朱玲
  • 作者简介:王春雨(1992—),女,硕士研究生,研究方向为有机废气净化。E-mail:2542421572@qq.com
  • 基金资助:
    北京市长城学者培养计划(CIT&TCD20190314)

Abstract:

Non-thermal plasma technology was used to purify benzene with benzene removal efficiency as the evaluation indicator. According to the single factor experiments, the range of specific energy density, initial concentration and oxygen content was determined. The influence of interaction and interaction on the removal efficiency of benzene was investigated by Design-Expert response surface method. The composition of by-products was analyzed by Fourier transform-infrared spectroscopy(FTIR), gas chromatography/mass spectrometry (GC-MS) and scanning electron microscopy(SEM). According to the simulation of the quadratic polynomial model, the individual variables, the interaction of the specific energy density and the oxygen content had a significant effects on the removal efficiency of benzene. The results showed that the optimal parameters were determined as the specific energy density of 5.98kJ/L, initial concentration of 452.08mg/m3 and the oxygen volume fraction of 1.66%. The removal efficiency model-predicted was 96.63%, the average value measured was 95.23% and the relative error between the two results was 1.40%, which indicated that the quadratic polynomial model was reliable. The solid phase by-products mainly contained long-chain alkanes, long-chain olefins, phenols, esters, ketones and amides. The overall morphology was cluster-like with obvious spherical morphology. The undegraded benzene, ethylene oxide, benzonitrile, 4-cyanopyridine were detected in the liquid phase product. In addition to the CO2 produced by mineralization and undegraded benzene, the gas phase product also had benzonitrile and ester.

Key words: benzene, pollution, non-thermal plasma, oxidation, removal efficiency, response surface methodology, parameter optimization, by-product

摘要:

采用低温等离子体技术净化苯,以降解后的苯去除效率为评价指标。根据单因素实验,确定能量密度、初始浓度、氧气含量的取值范围;采用Design-Expert响应曲面法,考察单独变量作用及交互作用对苯去除率的影响;通过傅里叶变换红外光谱仪(FIIR)、气相色谱-质谱联用仪(GC-MS)及扫描电子显微镜(SEM)对反应产物组成进行分析。根据二次多项式模型模拟可知,单因素变量、能量密度和氧气含量的交互项均对苯去除率具有显著影响;优化结果显示,低温等离子体降解苯的最佳工艺条件为能量密度5.98kJ/L,初始浓度452.08mg/m3,氧气体积分数1.66%,模型预测苯去除效率为96.63%,实验验证平均值为95.23%,测定值与预测值之间相对误差为1.40%,证明该模型具有可靠性。固相副产物中主要含长链烷烃、长链烯烃、酚类、酯类、酮类、酰胺类,整体形貌属于团簇状,拥有较明显的球形形貌;液相产物中检测到未降解的苯、环氧乙烷、苯腈、4-氰基吡啶;气相产物除了含有矿化生成的CO2和未降解的苯之外,还含有苯腈和酯。

关键词: 苯, 污染, 低温等离子体, 氧化, 去除效率, 响应曲面法, 参数优化, 副产物

CLC Number: 

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