Digital innovation to cut cost and carbon in wastewater treatment
We’ve developed a ground-breaking digital twin that will make wastewater treatment plants more resilient and efficient while reducing their carbon footprints – and may unlock new strategies for the sector.
Rosedale wastewater treatment plant
Auckland, New Zealand
Wastewater treatment, data science, digital twinning, soft sensors, biological, machine learning and statistical modelling
Insights into plant performance
Cities need sustainable wastewater solutions
As city populations grow, wastewater plants must increase their treatment capacity – and the need is rising rapidly. Asset owners and operators are under pressure to extend the life of existing infrastructure efficiently, safely and without service interruption. On top of that, they must build in climate resilience and meet carbon emissions reduction targets.
These challenges call for smarter, better ways to manage infrastructure, and that’s where data-based solutions like digital twins come in. A digital twin is an accurate virtual model of an asset that can be updated with performance data from the physical asset via live sensor input, as well as using external sources such as weather radar.