A unique project could revolutionise energy efficiency across the UK’s water infrastructure by using AI to reduce carbon emissions and operational costs.
Researchers from Manchester Metropolitan University partnered with Cheshire-based engineering firm Pumpflow Ltd to develop Q-Sight, an AI-powered vibration monitoring system that provides a non-invasive, data-driven alternative to traditional measurement tools.
The collaboration, supported by Innovate UK through a Knowledge Transfer Partnership (KTP), trialled the technology over four months last year, with the system significantly outperforming the test site’s existing ultrasonic flow meter, which was found to over-report flow by up to 40%.
The trial also revealed that by switching to a smaller pump and integrating solar-powered support, the site could cut energy use and carbon emissions by up to 30%, saving around £1,000 annually and avoiding nearly one tonne of CO2.
A university spokesman said: “The project demonstrates a scalable route towards data-driven, low-carbon modernisation of the UK’s water-management assets.”
The system allows operators to monitor pump performance remotely and ensure systems run at their most efficient levels.
The KTP is led by Luciano Gerber, Senior Lecturer in Computer Science at Manchester Met, with technical analysis authored by Agomon Hossain, Test and Development Engineer at Pumpflow and a former Manchester Met Engineering student.
Luciano said: “This project exemplifies how AI-powered monitoring can deliver measurable sustainability benefits. It’s a great example of how academic-industry partnerships can boost innovation and environmental impact.”
Stephen Egerton, Pumpflow Ltd, added: “We’re thrilled to be working with Manchester Met to bring this technology to life and help drive the UK’s net-zero ambitions.”
Funded by Innovate UK, the project is part of the UK-wide Knowledge Transfer Partnership programme, which connects businesses with academic institutions to drive innovation and growth.
