4.8 Article

Development and application of a predictive model for advanced wastewater treatment by adsorption onto powdered activated carbon

期刊

WATER RESEARCH
卷 217, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2022.118427

关键词

Organic micropollutants removal; Dissolved organic matter; Powdered activated carbon adsorption; Activated biochar; Adsorption modeling; Ideal adsorbed solution theory (IAST)

资金

  1. German Federal State Baden-Wurttem-berg, Ministry of the Environment, Climate Protection and the Energy Sector [457/2019]
  2. German Federal Ministry of Education and Research [02WDG1592A]
  3. German Federal State Baden-Wuerttemberg
  4. Ministry of the Environment, Climate Protection and the Energy Sector [457/2019]
  5. German Federal Ministry of Education and Research [02WDG1592A]

向作者/读者索取更多资源

This study presents a mathematical method to describe the removal of organic micropollutants and dissolved organic carbon from wastewater using powdered activated carbon. The developed model can predict the adsorption behavior of organic pollutants and simulate the process under different operating conditions.
This work presents a mathematical method to describe adsorptive removal of organic micropollutants (OMPs) and dissolved organic carbon (DOC) from wastewater treatment plant effluent using powdered activated carbon (PAC). The developed model is based on the tracer model (TRM) as a modification of the ideal adsorbed solution theory (IAST) and uses the fictive component approach for organic matter fractionation. It enables the simulation of multisolute adsorption of OMPs considering competitive adsorption behavior of organic background compounds (OBC). Adsorption equilibrium data for DOC and seven different OMPs as well as kinetic data for DOC were derived from batch experiments performed with secondary clarifier effluent of two municipal wastewater treatment plants (WWTP 1 and WWTP 2). Two conventional PAC products were investigated as well as one biogenic PAC (BioPAC). Verification and validation of the fitting results based on operational data of WWTP 1 showed promising prediction of DOC and OMP removal efficiency. However, when applied to a static simulation of a full-scale PAC adsorption stage, the model overpredicts the removal efficiency of sulfamethoxazole and candesartan. For benzotriazole, carbamazepine or hydrochlorothiazide, predicted removal falls below operational removal. The model can be used to predict removals of good adsorbable OMPs but fails to accurately predict the removals of OMPs with variable or low PAC affinity. The model was further used for a dynamic simulation of DOC and diclofenac effluent concentrations of a full-scale PAC adsorption stage with varying operating conditions and influent concentrations. Results show that the hydraulic retention time (HRT) in the contact reactor is a decisive operational parameter for OMP removal efficiency besides the PAC dose.

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