A recent case study from our partner Purecontrol, deployed with Veolia in Romorantin, shows how AI can quickly improve drinking water operations.
Instead of running pumps on fixed rules, Purecontrol uses real-time data and predictive models to adapt operations:
- Anticipate demand
- Prioritize the most efficient pumps
- Shift pumping to off-peak tariffs
Results:
- Up to –23% operating costs
- Off-peak usage increased from 17% to 42%
- Savings delivered without infrastructure changes
This is a practical example of how AI improves performance while reducing energy use.
Looking to optimize your pumping strategy and reduce energy costs?
Get in touch with ZERED to discuss how this approach can be applied to your network.