1 Department of Environmental Engineering, Technical University of Denmark2 Department of Applied Mathematics and Computer Science, Technical University of Denmark3 Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark4 Aalborg University5 Danish Meteorological Institute6 Krüger A/S7 DHI Denmark8 Lynettefællesskabet I/S9 Aarhus Water10 HOFOR A/S11 Avedøre Wastewater Services12 Copenhagen Wastewater Innovation
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.
Integrated urban wastewater system; Probabilistic forecasting; Real time control
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11th IWA conference on instrumentation control and automation, 2013