Research projects

Distributed ONline monitoring of the Urban waTer cycle (DONUT)
2018 to 2021 (role: initiator, project lead, and work package leader for Aarhus Water)

The project goal is to develop a cost-efficient water monitoring solution enabling Distributed ONline monitoring of the Urban waTer cycle. The project partners are working towards this goal combining several technologies in exponential growth; smart energy-efficient sensors, IoT, AI, and ICT. Our mission is to provide the technology for obtaining coherent and holistic overviews of the urban water cycle based on observation data. Hence, contribute to the ability to track the water from “drop formation in the atmosphere to runoff into the receiving waters”. The Dryp core technology platform comes from the DONUT-project (Distributed ONline monitoring of the Urban waTer cycle). The project is supportet by the Innovation Fund Denmark.


Cost-effective monitoring of overflows and SUDS with smart sensors (OrEO)
2018 to 2020 (role: initiator and work package leader for Aarhus Water)

The project vision is to develop a comprehensive solution, which is easy to use, for monitoring overflows and SUDS. By using simple hydraulic measurement principles in combination with smart energy efficient measurement units, it is possible to create cost-efficient monitoring of overflow structures and SUDS. Observation is transmitted wirelessly to a cloud environment where data is combined and translated to information in real time enabling continuously performance monitoring and learning about the real response for a given load of the overflow and SUDS structures. The project is supported by the Danish Eco-innovation Program (MUDP).

Water Smart Cities (WSC)WSC-logo
2016 to 2020 (role: project participant for Aarhus Water)

The Water Smart Cities project will develop novel Information and Communications Technology (ICT) solutions that ensure robust optimization across temporal and spatial scales. We will focus on 1) ICT solutions that integrate numerical models of the urban water system with sensor networks, weather forecasts, coastal/ocean forecasts and optimization techniques, and 2) Planning models integrating and dynamically linking water system models, risk assessment methods, valuation techniques and decision making tools. The project is supportet by the Innovation Fund Denmark.



Animation of CFD results (click to view).

Advanced measurement of overflow quality (AMOK)
2013 to 2014 (role: project participant for Aalborg University)

When the weather goes AMOK, and the capacity of a combined sewer system is exceeded, overflow takes places to the recipient. Combined Sewer Overflow (CSO) structures have often been designed one a combination of hydraulic, operation and maintenance, aesthetic and economic criteria’s. Common to most CSO structures are, that it is unknown when and how much overflow occurs. The major outputs of this project are methods to quantify overflow from hydraulic complex CSO structures using different types of software sensors. The project was supportet by the Danish Water Sector’s Development and Demonstration Program (VUDP).


Storm- and Wastewater Informatics (SWI)
2008 to 2011 (role: project participant for Aalborg University)SWI-logo

Storm- and Wastewater Informatics “SWI” was a strategic Danish Research Project with an overall aim to close the knowledge gaps within prediction and control of current and future conditions in integrated urban wastewater systems. Major outputs were components of an intelligent real-time decision support system, following a drop of water from the cloud, throughout the sewer–wastewater treatment system and into the receiving waters. The project was supportet by the Danish Council for Strategic Research.