Review of hydraulic modelling approaches for intermittent water supply systems

Review (2022)
Author(s)

Dondu Sarisen (University of Exeter)

Vasilis Koukoravas (University of Exeter)

Raziyeh Farmani (University of Exeter)

Z. Kapelan (University of Exeter, TU Delft - Sanitary Engineering)

Fayyaz Ali Memon (University of Exeter)

Research Group
Sanitary Engineering
Copyright
© 2022 Dondu Sarisen, Vasilis Koukoravas, Raziyeh Farmani, Z. Kapelan, Fayyaz Ali Memon
DOI related publication
https://doi.org/10.2166/aqua.2022.028
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Dondu Sarisen, Vasilis Koukoravas, Raziyeh Farmani, Z. Kapelan, Fayyaz Ali Memon
Research Group
Sanitary Engineering
Issue number
12
Volume number
71
Pages (from-to)
1291-1310
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Abstract

Intermittent water supply (IWS) is widely used around the world, and with the increase in population and predicted future water scarcity, IWS applications seem to continue. While most of the existing studies on water supply concentrate on continuous water supply (CWS), the research focused on the IWS is now becoming mainstream. Hydraulic modelling is an effective tool for the process of planning, design, rehabilitation, and operation of water distribution systems. It helps significantly in engineers’ decision-making processes. The necessity of modelling IWS systems arises from the complexity and variety of problems caused by intermittency. This paper offers a review of the state-of-the-art IWS modelling and identifies the key strengths and limitations of the available approaches, and points at potential research directions. Currently, neither computer software nor a practically used approach is available for modelling IWS. For a rigorous simulation of IWS, system characteristics first need to be understood, i.e., the user behaviour under pressure-deficient conditions, water losses, and filling and emptying processes. Each of them requires further attention and improvement. Additionally, the necessity of real data from IWSs is stressed. Accurate modelling will lead to the development of improved measures for the problems caused by intermittency.