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Modelling competitive adsorption of organic micropollutants onto powdered activated carbon in continuous stirred tank reactors for advanced wastewater treatment

This work investigates the validation and application of a competitive model approach for full-scale wastewater treatment plants (WWTP) with external recirculation of partially loaded powdered activated carbon (PAC) for removal of organic micropollutants (OMP). It is based on the ideal adsorbed solution theory (IAST) for multisolute mixtures combined with calibration of fictive organic components and correction of single-solute model parameters for OMP by use of the tracer model (TRM). Adsorption kinetics are represented by a pseudo first order reaction (PFO) and compared to mass transfer calculated with the homogenous surface diffusion model (HSDM). Model validation with operational data from two different WWTPs showed a strong dependency of model results on the batch sample quality used for model calibration. In contrast, the kinetic approach is of less importance for predicting full-scale OMP removal with long PAC sludge retention times. Further model application demonstrated that external PAC recirculation significantly improves the OMP removal with regard to both adsorption capacity and compensation of competitive effects of Dissolved Organic Carbon (DOC).

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Gefördert im Rahmen des Projekts DEAL
Citation
In: Water Research Volume 258 / (2024-05-21) , S. ; eissn:1879-2448
Collections
@article{doi:10.17170/kobra-2024060610288,
  author    ={Parniske, Janna and Atallah Al-asad, Hana and Qian, Jueying and Morck, Tobias},
  title    ={Modelling competitive adsorption of organic micropollutants onto powdered activated carbon in continuous stirred tank reactors for advanced wastewater treatment},
  keywords ={500 and Organischer Schadstoff and Aktivkohle and Abwasseraufbereitung and Gelöster organischer Stoff and Adsorption and Oberflächendiffusion and DOC},
  copyright  ={http://creativecommons.org/licenses/by/4.0/},
  language ={en},
  journal  ={Water Research},
  year   ={2024-05-21}
}