Analysis of a conservative approach for simulating water distribution networks in different conditions

Syed Rizvi, Rabee Rustum, Grant Wright, Malini Deepak, Lynne Barbara Jack

Research output: Contribution to journalArticlepeer-review

Abstract

With the development of technology, it has become easier for engineers to design and test models that allow them to simulate real time water distribution networks with greater accuracy. However, with so many nodes and links in a network, building a model still requires some simplification. One such simplification is known as ‘conservative approach’, which applies the principle of ‘lumped demand’, taking the demand only from nodes at the end of pipes. This paper thus analyses the full effect of lumped demand on key water parameters, on a large-scale network based on the as-built networks of Al Furjan and Dubai Silicon Oasis, Dubai, UAE for different conditions. EPANET and WDNetXL software were used for the analysis, and results showed the impact of different levels of skeletonization on the head and velocity values for the two models. It indicated that the head changes are high for branched network under extreme condition of firefight. It included the effect of skeletonizing local tanks, with changes being higher when all tanks are empty. These findings critically evaluated the performance of this method for the Middle East region and concluded that considerable velocity changes observed in the models could lead to overdesigning.
Original languageEnglish
Pages (from-to)1-31
JournalProceedings of the ICE - Water Management
Early online date29 Mar 2021
DOIs
Publication statusE-pub ahead of print - 29 Mar 2021

Keywords

  • Infrastructure Planning
  • Water supply
  • water distribution networks

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Environmental Engineering
  • Water Science and Technology

Fingerprint

Dive into the research topics of 'Analysis of a conservative approach for simulating water distribution networks in different conditions'. Together they form a unique fingerprint.

Cite this