Environmental Science and Pollution Research

, Volume 26, Issue 8, pp 8257–8265 | Cite as

Partitioning characteristic of chlorine ion in gas and solid phases in process of desulfurization wastewater evaporation: model development and calculation

  • Shuangchen MaEmail author
  • Jin Chai
  • Gongda Chen
  • Kai Wu
  • Yajun Xiang
  • Zhongcheng Wan
  • Jingrui Zhang
  • Hongtao Zhu
Research Article


Since the promulgation of “Water Pollution Control Action Plan “ in China, zero liquid discharge of desulfurization wastewater has become a new trend of power plant water pollution control. Aiming at the application of desulfurization wastewater evaporation technology using high-temperature flue gas, simulation and experimental research on quantifying and predicting gas-solid partitioning of chlorine ion under different operation conditions are carried out in this paper. The gas-liquid equilibrium theory is applied to the complex mixed salt system; based on state equation, the semi-empirical model of gas-solid phase partitioning coefficient of chlorine ion is calculated, with high degree of fitting range from 180 to 380 °C. The essential effects of pH, Cl concentration, and total dissolved solids (TDS) on the gas-solid phase partitioning coefficient of chlorine ion are investigated. The study provides key data for the application of evaporation technology using high-temperature flue gas, obtaining the quantification and prediction of chlorine ion volatilization during desulfurization wastewater evaporation.


Desulfurization wastewater High-temperature flue gas evaporation Chlorine ion Gas-solid phase partitioning model 



Gas-liquid partitioning coefficient


Cl concentration


Activity coefficient


Temperature (K)


Density (kg/m3)




Fugacity coefficient


Total pressure (P)


Mole fraction of gas phase


Total molar volume


Compression factor


Mole amount


Mole fraction of liquid phase


Intermolecular gravitational correction


Volume correction

Greek letters




Gas phase


Liquid phase






Gas (liquid) phase mixture







Support was provided by the National Key R&D Program of China (2018YFB0604305) and Central University Foundation of North China Electric Power University (2017XS124).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Shuangchen Ma
    • 1
    • 2
    Email author
  • Jin Chai
    • 1
    • 2
  • Gongda Chen
    • 1
    • 2
  • Kai Wu
    • 1
    • 2
  • Yajun Xiang
    • 1
  • Zhongcheng Wan
    • 3
  • Jingrui Zhang
    • 3
  • Hongtao Zhu
    • 1
    • 2
  1. 1.MOE Key Laboratory of Resources and Environmental Systems OptimizationBeijingChina
  2. 2.School of Environmental Science and EngineeringNorth China Electric Power UniversityBaodingChina
  3. 3.Shengfa Environmental Protection Co.XiaMenChina

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