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Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow

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  • Elias Farah

    (Université de Lille)

  • Isam Shahrour

    (Université de Lille)

Abstract

This paper presents a methodology for the application of the Smart Water technology to detect water leakage. This methodology consists in the use of the traditional water balance method together with the minimum night flow approach. This procedure has been applied to a large-scale pilot project conducted at the Scientific Campus of the University of Lille, which is the size of a small town. The water network of the campus is monitored by a set of sensors that record and transmit, in real-time, the hydraulic parameters of the water system. Analysis of real-time data has allowed the verification of water balance and the estimation of water losses level in the network. The paper presents an improvement of the application of the minimum night flow method, which is based on the determination of flow thresholds. A leak alarm is generated if the night flow exceeds the thresholds. This data analysis methodology provides the capability to detect the pipe bursts quickly, thereby reducing the runtime of leakage. The application of the improved method allowed the detection of 25 unreported leaks and decreased the Non-Revenue Water (NRW) level by 36%.

Suggested Citation

  • Elias Farah & Isam Shahrour, 2017. "Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4821-4833, December.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:15:d:10.1007_s11269-017-1780-9
    DOI: 10.1007/s11269-017-1780-9
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    References listed on IDEAS

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    1. Jaber Alkasseh & Mohd Adlan & Ismail Abustan & Hamidi Aziz & Abu Hanif, 2013. "Applying Minimum Night Flow to Estimate Water Loss Using Statistical Modeling: A Case Study in Kinta Valley, Malaysia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1439-1455, March.
    2. Cláudia Santos & Augusto Pereira Filho, 2014. "Water Demand Forecasting Model for the Metropolitan Area of São Paulo, Brazil," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(13), pages 4401-4414, October.
    3. M. Tabesh & A. Yekta & R. Burrows, 2009. "An Integrated Model to Evaluate Losses in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(3), pages 477-492, February.
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    Cited by:

    1. Carlo Giudicianni & Manuel Herrera & Armando Nardo & Kemi Adeyeye, 2020. "Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 835-848, January.
    2. Allison Lassiter & Nicole Leonard, 2022. "A systematic review of municipal smart water for climate adaptation and mitigation," Environment and Planning B, , vol. 49(5), pages 1406-1430, June.
    3. Tariq Judeh & Isam Shahrour & Fadi Comair, 2022. "Smart Rainwater Harvesting for Sustainable Potable Water Supply in Arid and Semi-Arid Areas," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    4. Aditya Gupta & K. D. Kulat, 2018. "A Selective Literature Review on Leak Management Techniques for Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3247-3269, August.
    5. Ayse Muhammetoglu & Yalçın Albayrak & Mustafa Bolbol & Simge Enderoglu & Habib Muhammetoglu, 2020. "Detection and Assessment of Post Meter Leakages in Public Places Using Smart Water Metering," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2989-3002, July.
    6. Wang Pengfei & Jiang Zhiqiang & Duan Jiefeng, 2023. "Burst Analysis of Water Supply Pipe Based on Hydrodynamic Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2161-2179, March.
    7. Koo, A Mi & Kim, Ju-Hee & Yoo, Seung-Hoon, 2022. "Household willingness to pay for a smart water metering and monitoring system: The case of South Korea," Utilities Policy, Elsevier, vol. 79(C).

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