Managing Background Leakage
Amount awarded:£2,363,132
Led by: Dŵr Cymru Welsh Water
Partners: Affinity Water, Anglian Water, Severn Trent Water, Portsmouth Water, University of Sheffield, HWM, Invenio Systems
Water companies in England and Wales have Ofwat targets to reduce leakage by 15% in the current planning period to March 2025. Customers and regulators seek a downward trend in leakage which is seen as wasted water; but more importantly wasted power and chemicals for treatment and distribution, adding C02 emissions, impacting the challenge of achieving net-zero carbon, and adding to environmental water abstractions impacting ecology. The problem is c.50% of leakage is due to Background Leakage; defined as the sum of small leaks below a detectable threshold; generally accepted that it can’t be reduced. However, we believe some Background Leakage comes from old long-running leaks, not detected by current methods. This project aims to redefine the detectable limit of leakage to help pinpoint and repair hidden leaks and other factors contributing to background leakage. This benefits customers by creating more sustainable ways of reducing leakage, avoiding increased environmental water abstractions if future leakage targets can’t be met by current means.
“In this strategically important project for the water industry, we will challenge accepted wisdom regarding the nature of leakage in distribution systems. If we are successful in finding long-running leaks that have avoided detection, we potentially create new sustainable ways of meeting long-term aspirations to halve leakage at lower cost.”
Stuart Trow, Director, Invenio Systems, working in partnership with Dŵr Cymru Welsh Water.
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Update from the project (October 2024)
Field survey work in the 10 Phase B DMAs is now complete. Consumption and customer side leakage data has been analysed. Modeling to localize any probable network leaks is well advanced, and a meeting is planned for 30th October to agree follow up survey work. Field survey work has commenced in the first of the 15 Phase C DMAs. Work has also commenced on the Phase D uncertainty analysis