This study present the first full scale application of an integrated Model Predictive Control (MPC) strategy for optimization of urban drainage networks. The strategy was implemented in a 76 km2 urban catchment in the centre of Copenhagen (Denmark). This generalized strategy combines runoff forecast generated by radar-based models with real-time water level measurement across the drainage system. A dynamic overflow risk assessment is performed by taking into account the estimated level of uncertainty of runoff predictions. The cost associated to the expected overflow events is minimized by a genetic algorithm. The MPC system is implemented in a commercially available platform, enabling the future connection between the dynamic strategies controlling urban drainage systems and wastewater treatment plants. Full-scale implementation is almost completed and the preliminary results from off-line test show the potential for application of this methodology in a wide range of different urban areas.
|Number of pages||8|
|Publication status||Published - 2012|
|Event||10th International Conference on Hydroinformatics: Understanding Changing Climate and Environment and Finding Solutions - Hamburg University of Technology, Hamburg, Germany|
Duration: 14 Jul 2012 → 18 Jul 2012
Conference number: 10
|Conference||10th International Conference on Hydroinformatics|
|Location||Hamburg University of Technology|
|Period||14/07/2012 → 18/07/2012|
Vezzaro, L., Kunnerup, T., Lund Christensen, M., & Grum, M. (2012). A new risk based approach to Real Time Control of urban drainage networks. Paper presented at 10th International Conference on Hydroinformatics, Hamburg, Germany.