Non-Destructive Biofilm Thickness Monitoring in Drinking Water Pipes Using Thermal and Flow Dynamics

Conference Paper (2025)
Author(s)

Konstantinos Glynis (TU Delft - Water Systems Engineering, KWR Water Research Institute)

Mirjam Blokker (KWR Water Research Institute, TU Delft - Water Systems Engineering)

Zoran Kapelan (TU Delft - Water Systems Engineering)

Dragan Savic (KWR Water Research Institute, University of Exeter)

Research Group
Water Systems Engineering
DOI related publication
https://doi.org/10.1109/SysTol66549.2025.11267300
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Publication Year
2025
Language
English
Research Group
Water Systems Engineering
Pages (from-to)
343-346
Publisher
IEEE
ISBN (electronic)
9781665457712
Event
6th International Conference on Control and Fault-Tolerant Systems, SysTol 2025 (2025-10-06 - 2025-10-08), Ayia Napa, Cyprus
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Abstract

Biofilms in drinking water distribution systems (DWDS) pose a critical challenge to water quality. If left unchecked, they can compromise the biological stability of delivered water and ultimately public health. Existing biofilm sensing techniques primarily focus on metabolic or genetic indicators of activity, often using local and destructive methods. While rich in information, such data are difficult to apply in developing practical biofilm growth models. Biofilm thickness, however, is a more representative and scalable metric for this purpose. Yet, limited research exists on non-invasive thickness sensing in DWDS. This study introduces two non-destructive methods for measuring biofilm thickness by leveraging changes in heat resistance and residence time. Heat resistance was evaluated using ambient and water temperature measurements, while residence time was assessed with a conservative tracer. Both techniques were tested in the Slimer experimental setup (50 m long, 13.2 mm diameter PVCp pipe) under realistic hydraulic conditions. Results showed a strong correlation between biofilm thickness and residence time drift, indicating flow disturbance as a reliable indicator of biofouling. In contrast, heat resistance sensing exhibited considerable natural variability, limiting its analytic value. The findings highlight residence time analysis as a promising, non-invasive approach for estimating biofilm thickness. This method offers continuous, non-destructive monitoring, enabling early detection of biofilm-related anomalies and providing valuable input for both laboratory and field applications aimed at enhancing DWDS resilience.

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