wastewater treatment plants (WWTP) rely on activated sludge systems to remove
organic carbon, nitrogen and phosphorus via assimilation or oxidation by
different bacteria. After the aeration basins, the biomass is separated from
the treated water before is discharged to the receiving water bodies. In most
of the existing WWTP, secondary settling tanks (SSTs) are used for solid liquid
separation via gravity sedimentation. WWTP are facing new challenges, including climate change and resource recovery. SST are the most sensitive unit processes to wet weather conditions (e.g., heavy rain events, which are increasing due to climate change), limiting the overall treatment capacity. Resource recovery strategies heavily affect settling properties. Thus, the lack of proper monitoring tools and control strategies for SSTs prevent the implementation of circular bioeconomy solutions in existing WWTP.
To demonstrate the applicability of a novel sensor for online monitoring of the settling properties under varying settling conditions in a full scale WWTP.
The student will combine experimental work with modeling tools. A prototype sensor already evaluated at several WWTP will be demonstrated for a period of 3 to 4 months in a full scale WWTP. The gathered experimental data will be used to calibrate some modeling tools that provide parameters describing settling dynamics, potential controlled variables for future control strategies. The work will be performed with Bioras (www.bioras.com/), a SME specialized on image analysis, who has previously developed the sensor together with DTU. The student will potentially collaborate with the local utility running the WWTP and Ålborg university.
In collaboration withBioras