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Complex Mechanism of Phenol Extraction of Coal Gasification Wastewater

机译:煤气化废水中苯酚萃取的复杂机理

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摘要

In this study, tri-butyl-phosphate (TBP)-kerosene is used as the extraction solvent to remove phenols from coal gasification wastewater, and the complex mechanism of the extraction is investigated. An effect experiment is conducted to determine the complex structures, the enthalpy change of reaction, and the effect of extraction solvent concentration and temperature on the distribution coefficient. To predict the extraction effect before the experiment, the distribution coefficient mathematical model of phenol extraction is established, which is based on a liquid-liquid extraction model and verified for accuracy by the experiment. The effect experiment result shows that with an increase in concentration of TBP and decrease in temperature, the extraction distribution coefficient increases and further determines the complex structures and the enthalpy change of the reaction. Meanwhile, a comparison of experimental and calculated values in the model experiment result shows that the average relative error of extraction distribution coefficient is 5.56% in different concentrations of TBP and 2.72% in different temperatures. Considering the error of the experiment, this work concludes that the distribution coefficient mathematical model of phenol extraction has a high predictive effect on the distribution coefficient and extraction rate of volatile phenol in actual wastewater.
机译:本研究以磷酸三丁酯(TBP)-煤油为萃取溶剂,从煤气化废水中去除酚类,研究了萃取的复杂机理。进行了一个效果实验,以确定其复杂的结构,反应的焓变以及萃取溶剂浓度和温度对分配系数的影响。为了预测实验前的萃取效果,建立了基于液-液萃取模型的酚萃取分布系数数学模型,并通过实验验证了其准确性。效果实验结果表明,随着TBP浓度的升高和温度的降低,萃取分布系数增加,进一步决定了反应的复杂结构和焓变。同时,对模型实验结果与实验值的比较表明,不同TBP浓度下提取分布系数的平均相对误差为5.56%,不同温度下为2.72%。考虑到实验的误差,得出结论:苯酚萃取的分配系数数学模型对实际废水中挥发性酚的分配系数和萃取率具有较高的预测作用。

著录项

  • 来源
    《Polish Journal of Environmental Studies》 |2019年第3期|1105-1113|共9页
  • 作者单位

    Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen Engn Lab Microalgal Bioenergy, Shenzhen, Peoples R China|China Coal Res Inst, Beijing Res Inst Coal Chem, Beijing, Peoples R China;

    China Coal Res Inst, Beijing Res Inst Coal Chem, Beijing, Peoples R China;

    Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen Engn Lab Microalgal Bioenergy, Shenzhen, Peoples R China;

    Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    complex mechanism; phenol; TBP; distribution coefficient; mathematical model;

    机译:复杂机理苯酚TBP分布系数数学模型;

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