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

Kazeem B. Adedeji (), Yskandar Hamam, Bolanle T. Abe and Adnan M. Abu-Mahfouz
Additional contact information
Kazeem B. Adedeji: Tshwane University of Technology, Department of Electrical Engineering
Yskandar Hamam: Tshwane University of Technology, Department of Electrical Engineering
Bolanle T. Abe: Tshwane University of Technology, Department of Electrical Engineering
Adnan M. Abu-Mahfouz: Tshwane University of Technology, Department of Electrical Engineering

Chapter Chapter 18 in Transactions on Engineering Technologies, 2019, pp 245-254 from Springer

Abstract: 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.

Keywords: Background leakage; Hydraulic model; Leak hydraulics; Pipe materials; Water loss; Water supply networks (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-32-9531-5_18

Ordering information: This item can be ordered from
http://www.springer.com/9789813295315

DOI: 10.1007/978-981-32-9531-5_18

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().