Automation of large-scale water distribution networks

The project involves the application of modelling, control and optimization to devise methods for improving the operation of water distribution networks through automation. The project has enjoyed strong support from the industry partner and the team has received a number of awards (e.g. the IEEE CSS Control Systems Technology Award in 2014) for outcomes of the work. Installations of technology arising from the project is operational in Australia, New Zealand, US, China. Challenges range from data-driven modelling of hydraulic networks for control, decentralized and distributed feedback control of networked systems, hierarchical control, constrained and receding horizon control, scalable computation for optimal control and scheduling (demand management)

Researchers involved: Michael Cantoni, Erik Weyer, Peter Dower, Iman Shames, Farhad Farokhi, Iven Mareels

Partners: Rubicon Water, Australian Research Council