Automation of large-scale water distribution networks

Project description

The project involves the application of modelling, control and optimisation 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 (eg: 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, and China. Challenges range from data-driven modelling of hydraulic networks for control, decentralised and distributed feedback control of networked systems, hierarchical control, constrained and receding horizon control, scalable computation for optimal control and scheduling (demand management).

Partners

Rubicon Water, Australian Research Council

Researchers

• 
  Michael Cantoni, Professor, Electrical and Electronic Engineering
• 
  Peter Dower, Associate Professor, Electrical and Electronic Engineering
• 
  Farhad Farokhi, Research Fellow, Electrical and Electronic Engineering
• 
  Iven Mareels, Professor, Electrical and Electronic Engineering
• 
  Iman Shames, Senior Lecturer (Assistant Professor) & MIDAS Deputy Director, Electrical and Electronic Engineering
• 
  Erik Weyer, Professor, Electrical and Electronic Engineering