Planning the future

Stormwater management in urban and residential areas is becoming increasingly important. The consequences of climate change, such as heavy rainfall or drought, must be taken into account in future urban development. InflowGo, a research and innovation project carried out by the Technical University of Denmark and the Danish company WaterZerv together with the city of Bochum on behalf of the Klima.Werk, offers a solution to this problem by encouraging water sensitive urban design. The project is funded by the Danish Environmental Protection Agency.

Forecasting for sewer systems 

InflowGo is a stormwater management service. It uses artificial intelligence to make predictions about the use of mixed sewer systems in relation to urban stormwater. The service's algorithm uses machine learning to predict the hydrodynamic behaviour of surface runoff and urban drainage systems. Among other things, the system can predict burdens within seconds. Compared to network simulations, the AI reduces the simulation time by a factor of 100 to 10,000.

InflowGo supports the urban planning process with its predictions and facilitates collaboration within municipalities or associations, with consultants and other external stakeholders. InflowGo makes it easy to test ideas. The impact of these ideas on the sewer system is calculated by the AI within minutes or even seconds. In short, it delivers the stormwater management numbers that matter. Whether green roofs, rain gardens or larger pipes, InflowGo provides both average and extreme statistics from long-term simulations of water levels in manholes, flow rates in pipes, discharges into the surrounding soil, flooding and even direct CO2 emissions. By using the programme construction projects can contribute to the vision of sustainable, blue-green cities.