ORIGINAL RESEARCH
Complex Mechanism of Phenol Extraction
of Coal Gasification Wastewater
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1
Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen Engineering Laboratory
of Microalgal Bioenergy, Shenzhen, China
2
Beijing Research Institute of Coal Chemical, China Coal Research Institute, Beijing, China
3
Department of Civil amd Environmental Engineering, Stanford University, Stanford, California, USA
Submission date: 2018-01-05
Final revision date: 2018-03-06
Acceptance date: 2018-03-20
Online publication date: 2018-11-16
Publication date: 2019-01-28
Corresponding author
Wenbiao Jin
Harbin Institute of Technology Shenzhen Graduate School, Shenzhen Engineering Laboratory of Microalgal Bioenergy, Shenzhen 518055, China, China
Pol. J. Environ. Stud. 2019;28(3):1105-1113
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ABSTRACT
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.