Jointly meeting global challenges Annual report 2012


Mapping out Hamburg’s water use

10 August 2012Research

KWR maps out water use in the German city of Hamburg. Using the KWR-developed SIMDEUM simulation model, measurements of water use are compared to models so that the patterns of water use become visible. This provides the basis for predicting future use and therefore for making water distribution networks and water production more future-proof.

Hamburg is facing declining water consumption. Ekkehard von Hoyningen-Huene and Thomas Werner, Senior Technology Developers at the water company Hamburg Wasser, read about SIMDEUM in a scientific article and their interest is sparked. “We had long been looking for alternative approaches to end-use studies and consumption patterns in hydraulic models,” Werner says. Thanks to their participation in the international TRUST network, KWR and Hamburg Wasser already have contact with each other. A research projects thus gets underway on the city’s water use. Over a period of six months, KWR applies the SIMDEUM simulation model to study how much water is used, when, and by whom, and what the future demand will be.

Big step forward

The initial results are very promising. “The strong correspondence between the measured and simulated patterns demonstrate the model’s potential,” says Von Hoyningen. “Now we want to find out more about SIMDEUM’s application range in terms of predicting future water demand. More experience with the model is needed to implement it in daily hydraulic modelling work.” Werner is also pleased with the collaboration with KWR. “The researchers are reliable and professional experts in the field of water-use simulation, and they’re also very pleasant.” Both scientists from Hamburg advise other water companies to explore the possibilities offered by the model. “SIMDEUM can be a big step forward when it comes to the accurate dimensioning of water distribution networks. It offers many more opportunities than does the conventional method, and represents a development from a static to a dynamic approach.”

© 2018 KWR Watercycle Research Institute

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