Smart Real-time Control of Water Systems
Henrik Madsen(1), Peter Steen Mikkelsen(2), Lasse Engbo Christiansen(3), Anne Katrine Falk(1), Morten Borup(2), Rune Juhl(3), Nadia Schou Vorndran Lund(2), Rasmus Halvgaard(1), Nina Donna Sto. Domingo(1), Lisbeth Birch Pedersen(1), Stephen J. Flood(1) & Lene Bassøe(4)
(1)DHI, Agern Alle 5, 2970 Hørsholm, DK
(2)DTU Environment, Bygning 115, , 2800 Kongens Lyngby, DK
(3)DTU Compute, Bygning 324, 2800 Kongens Lyngby, DK
(4)Aarhus Water, Bautavej 1, 8210 Aarhus V, DK
Delivered at: Urban Drainage Group Autumn Conference and Exhibition 2016, Blackpool, UK, November 9th–11th 2016
Presenter: Dr. Lisbeth Birch Pedersen (Product Owner, MIKE Powered by DHI)
Keywords: smart water, smart cities, urban drainage, climate change, surrogate modelling, weather radar, frameworks
Cities across the world are facing significant water system challenges related to urbanisation and climate change. To advance the concept of integrated real-time control of water systems, an innovative generalised technology framework has been developed as part of a collaborative research effort. The framework facilitates the global acceptance and improved implementation of smart real-time control of water systems which offers a proven, cost effective alternative to the conventional approach of increasing system capacity.
The core of the framework is a generalised data platform which can be used within all water domains. This platform integrates time series data and spatial data with numerical models, and offers a broad suite of generalised tools for data processing and reporting. Data tools can be executed as automated workflows that replace tedious and error prone manual tasks. A key element of the work is the development of fast and accurate surrogate models of complex physical systems, complementing standard deterministic high-fidelity models adapted to observations in real time in order to ensure efficiency and performance of the automated model predictive control algorithms. A second element is the utilisation of local area weather radar data, since distributed rainfall observations and accurate forecasts are essential for optimising the use of the system capacity.
This work focuses on the impacts of using the new smart real-time control of water systems framework on a full scale, real world example using the urban drainage system of the city of Aarhus, Denmark as a testbed.