Author(s): Julia Kasper; Georg Pranner; Franz Simons; Michael Denhard; Carsten Thorenz
Linked Author(s): Carsten Thorenz
Keywords: Utomated water level control; Discharge prediction; Model predictive feed forward control; Nowcasting; Stormwater overflow; Urban catchment are
Abstract: Heavy rainfall can cause large variations in the water level of navigable waterways when a lot of urban runoff is generated on sealed surfaces and discharged into the river. Due to climate change, extreme weather events will increase in intensity and frequency demanding a better automated water level control at impounded waterways. High-resolution forecasts of catchment rainfall are intended to serve as input to a rainfall-runoff model. Based on the resulting discharge forecasts, a model predictive feed forward controller calculates the ideal water level and discharge across the barrage. The control system is completed by a PI control loop. In this way water level deviations and discharge peaks resulting from stormwater overflow events can be reduced, which enhances the safety of shipping. Regarding the uncertainties of weather predictions, the consequences of an underestimated or overestimated overflow discharge are investigated.
Year: 2018