Simulation-based process optimization of full-scale advanced wastewater treatment systems using powdered activated carbon
This study extends a previously developed competitive modeling approach for predicting the adsorption of organic micropollutants (OMPs) on powdered activated carbon (PAC) in full-scale advanced wastewater treatment. The approach incorporates adsorption analysis for organic matter fractionation, assumes pseudo-first order kinetics and differentiates between fresh and partially loaded PAC through fraction segregation. Validation through full-scale measurement campaigns reveals successful model predictions of OMP removal, underestimating, however, diclofenac removals by 15-20%. Based on model testing, the impact of excess PAC return to the biological stage enhanced OMP removal, reaching up to 15% improvement for benzotriazole, carbamazepine and metoprolol, but no evident improvement of diclofenac removal. Intermittent PAC dosing revealed rapid process response, where organic matter concentration increased within 2 h after PAC cut-off. The simulation-based study demonstrated that during rain events, the overall OMP removal efficiency in the entire wastewater treatment plant was reduced by approximately 50% due to a shift of OMP concentration and a shortened hydraulic retention time in the biological and adsorption stages. Testing of various PAC dosing strategies revealed potential PAC savings of 10-15% compared to inflow-proportional dosing by using predefined OMP removal grades or maximum allowable effluent OMP concentrations as criteria for PAC dosing.
Authors
- Tobias Morck (ORCID: https://orcid.org/0000-0002-9780-0703)
- Janna Parniske
- Hana Atallah Al-asad
- Jens Alex
Institutions
- University of Kassel (DE)
- Institut für Automation und Kommunikation (DE)
Publication Details
- Journal
- Water Science & Technology
- Published
- 2024-11-21
- DOI
- https://doi.org/10.2166/wst.2024.382
- Citations
- 3
- Primary Topic
- Pharmaceutical and Antibiotic Environmental Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Bundesministerium für Bildung und Forschung
- Universität Kassel