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Conference paper

Following a drop of water from the cloud, throughout the sewer system, into the receiving water - Model predictive control of integrated sewer-wastewater treatment systems

From

Department of Environmental Engineering, Technical University of Denmark1

HOFOR A/S2

Avedøre Wastewater Services3

Copenhagen Wastewater Innovation4

Aalborg University5

Danish Meteorological Institute6

Department of Applied Mathematics and Computer Science, Technical University of Denmark7

Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark8

Krüger Veolia Water Technologies9

DHI Water - Environment - Health10

BIOFOS Renseanlæg Lynetten11

Aarhus Water12

...and 2 more

This article presents selected examples of model-based prediction and control of integrated sewer-wastewater treatment systems, developed within the framework of the Storm- and Wastewater Informatics project (SWI). By exploiting all the available on-line information (e.g. radar based rainfall measurements, flow and water levels, operational parameters at treatment plants) it is possible to dynamically optimize the integrated storm- and wastewater systems according to different criteria (e.g. utilizing the system fully at all times and reducing volumes of combined sewer overflows, loads of pollutants discharged from treatment plants, etc.).

The tools developed in the SWI project include (but are not limited to (i) rainfall nowcasting based on radar measurements, (ii) probabilistic flow forecasting based on data assimilation and stochastic models, (iii) prediction and optimization of wet-weather performance of wastewater treatment plants, and (iv) integrated control of the different elements of the integrated wastewater systems.

Full-scale testing of these tools in different catchment located in Denmark ensure that the developed tools can represent an important step forwards for on-line operation of combined sewer networks and wastewater treatment plants.

Language: English
Year: 2013
Proceedings: 11th IWA conference on instrumentation control and automation
Types: Conference paper
ORCIDs: Mikkelsen, Peter Steen , Vezzaro, Luca , Löwe, Roland and Madsen, Henrik

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