ResilVerbund

The effects of climate change pose major challenges for water utilities. Regional utilities and integrated systems are playing an increasingly important role in mitigating future supply shortages. The ResilVerbund collaborative project aims to investigate, using the Lake Constance water supply as a case study, the extent to which drinking water network systems (operating continuously or exclusively in emergency situations) can contribute to supply security.

Project objectives

The ResilVerbund project aims to develop practical digital tools and collaboration models to enhance the resilience of Germany’s drinking water supply. Using the Lake Constance Water Supply (BWV) as a case study, the project is developing strategies with future viability. Key elements include a network-wide knowledge and data portal, AI-supported water demand forecasts on various time scales, an aggregated hydraulic network simulation model, and a novel resilience traffic light system that displays the resilience status of the entire system and enables the early detection of bottlenecks.

Our Contribution

The Fraunhofer IOSB’s primary focus is on time series management and the provision of dashboards for the central knowledge and data portal. This includes methods and tools for automatically importing, processing, and managing the various time series (e.g., meter data, sensor data, forecast data, simulation data) and calculating key performance indicators from them. The aggregated data and resilience metrics are made available via standardized interfaces and visualized in user-friendly web dashboards. In doing so, the IOSB relies exclusively on open-source technologies and contributes its many years of expertise in the field of cloud-based platforms and AI Systems Engineering.