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Effect of Pipe Materials on Background Leakage Estimate Using Graph-Based Hydraulic Model: An Extended Study

In: Transactions on Engineering Technologies

Author

Listed:
  • Kazeem B. Adedeji

    (Tshwane University of Technology, Department of Electrical Engineering)

  • Yskandar Hamam

    (Tshwane University of Technology, Department of Electrical Engineering
    ESIEE-Paris Cité Descartes, BP 99)

  • Bolanle T. Abe

    (Tshwane University of Technology, Department of Electrical Engineering)

  • Adnan M. Abu-Mahfouz

    (Tshwane University of Technology, Department of Electrical Engineering
    Modelling and Digital, Council for Scientific and Industrial Research)

Abstract

The goal of reducing water losses in water distribution networks (WDNs) to an acceptable level remains elusive. Thus, the evaluation of background losses in such a complex network requires prior understanding of the hydraulic characteristics of leakage flow in the network. In this chapter, an investigation of the effect of pipe materials with reference to their impact on the background leakage estimate in water supply networks using a graph-based integrated hydraulic model is presented. In the applications, the hydraulic modelling was carried out through steady-state flow modelling. The model was demonstrated on a water supply network. The results obtained evident the influence of pipe materials on the background leakage estimation. The effect is more pronounced on very smooth and new cast iron or welded steel pipe while the least effect on the background leakage estimate is observed when oil cast iron and bricks are considered.

Suggested Citation

  • Kazeem B. Adedeji & Yskandar Hamam & Bolanle T. Abe & Adnan M. Abu-Mahfouz, 2019. "Effect of Pipe Materials on Background Leakage Estimate Using Graph-Based Hydraulic Model: An Extended Study," Springer Books, in: Sio-Iong Ao & Len Gelman & Haeng Kon Kim (ed.), Transactions on Engineering Technologies, chapter 0, pages 245-254, Springer.
    • Handle: RePEc:spr:sprchp:978-981-32-9531-5_18
    DOI: 10.1007/978-981-32-9531-5_18
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