摘要：AbstractKnowing where wastewater is flowing in drainage networks is essential to utilize system storage, predict overflows and to optimize system operation. Unfortunately, flow in gravity-driven sewers is subject to transport delays, and typically influenced by significant disturbances entering the sewer pipes in the form of domestic, ground and rain inflows. Model-based optimal control of urban drainage requires knowledge about these inflows, even though it is often not feasible in operational setups. To this end, we propose a lumped-parameter hydrodynamic model with a bi-linear structure for identifying the transport delays, decouple periodic disturbances and to predict the discharged flow. Pumped inlet and discharged dry-weather flow is used to find the model parameters. Under mild assumptions on the domestic and groundwater inflows, i.e. disturbances, the decoupling capabilities of the identified model are presented. A numerical case study on an EPA Storm Water Management Model (EPA SWMM) and experimental results on a real network demonstrate the proposed method.
