Research

Model Predictive Control: A case study of Trøjborg

Abstract

Occurrence of larger rain events in recent years has increased the focus on how to prevent overflows from sewer systems, especially on methods for improving utilization of current infrastructures. One method is improving the control of the system. In this study, we consider the control method Model Predictive Control (MPC) applied in a case study of a real sewer system. The strength of MPC is the ability to pre-emptive act on future weather prognosis, while handling constraints. The case study is the Trøjborg catchment in the city of Aarhus, Denmark. It is utilized to compare the MPC method and the current control method, with focus on reducing overflow volume. The current control method is rulebased control, which works retroactively on the system. With efficiency reliant on the quality and quantity of the rules. The comparison is based on simulations with the high-fidelity software MIKE URBAN. In conclusion, the utilization of the MPC method in sewer systems shows a significant improvement.

Info

Conference Paper, 2019

UN SDG Classification
DK Main Research Area

    Science/Technology

To navigate
Press Enter to select