Leakage control in water distribution networks by using optimal pressure management: A case study

Behzadian, Kourosh ORCID: https://orcid.org/0000-0002-1459-8408, Ardeshir, Abdollah and Jalilsani, Fatemeh (2010) Leakage control in water distribution networks by using optimal pressure management: A case study. In: 12th Annual Conference on Water Distribution Systems Analysis (WDSA), 12-15 Sep 2010, Tucson, Arizona, United States.

[thumbnail of PDF/A]
A.Mahdavi et al. 2010.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (693kB) | Preview


More than thirty percent of drinking water loss through water distribution systems (WDS) in Iran has
made a major concern for Iranian water utilities, which has been located in a semi-arid area. In many
cases, invisible leakage in the pipelines of WDS, particularly old WDSs, causes a high proportion of total
annual losses. Pressure management is a well known and useful tool for reducing invisible leakage since
leak is a pressure dependent function. This paper presents an optimization model for pressure
management by optimizing pressure reducing valves (PRV) locations and settings. The PRVs location and
setting is formulated here as an optimization problem with: (1) the objective function of maximizing the
coverage of end-node users’ pressures in an appropriate range; (2) the objective function of minimizing
total leakage in the network. Genetic algorithm is used here as the optimization model, in which EPANET
toolkit is used as the simulation engine. The model is applied to a case study in Iran known as Mahalat
WDS which has assigned a high value of water loss in the networks. The results show that the system is
able to considerably moderate the high pressure values and total value of drinking water which is
annually lost.

Item Type: Conference or Workshop Item (Paper)
ISBN: 978-078441203-9
Identifier: doi10.1061/41203(425)101
Page Range: pp. 1110-1123
Identifier: doi10.1061/41203(425)101
Keywords: leakage control, valve location optimization model, genetic algorithm
Subjects: Computing
Depositing User: Kourosh Behzadian
Date Deposited: 25 Sep 2023 10:41
Last Modified: 25 Sep 2023 10:41
URI: https://repository.uwl.ac.uk/id/eprint/10184


Downloads per month over past year

Actions (login required)

View Item View Item