Optimal operation of water distribution systems using a graph theory-based configuration of district metered areas

Rahmani, Farshid, Muhammed, Karwan, Behzadian, Kourosh ORCID: 0000-0002-1459-8408 and Farmani, Raziyeh (2018) Optimal operation of water distribution systems using a graph theory-based configuration of district metered areas. Journal of Water Resources Planning and Management. ISSN 0733-9496 (In Press)

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Abstract

Optimal operation of large water distribution systems (WDS) has always been a tedious task especially when combined with determination of district metered areas (DMAs). This paper presents a novel framework based on graph theory and optimisation models to design DMA configuration and identify optimal operation of large WDS for both dry and rainy seasons. The methodology comprise three main phases of preliminary analysis, DMA configuration and optimal operation. The preliminary analysis assists in identifying key features and potential bottlenecks in the WDS and hence narrow down the large number of decision variables. The second phase employs a graph theory approach to specify DMAs and adjust their configuration based on similarity of total water demands and pressure uniformity in DMAs. Third phase uses several consecutive single-objective and multi-objective optimisation models. The decision variables are pipe rehabilitation, tank upgrade, location of valves and pipes closure, and valve settings for each DMA. The objective functions are to minimise total annual cost of rehabilitation, water age and pressure uniformity. The proposed methodology is demonstrated through its application to large real-world WDS of E-Town. The results show that the proposed methodology can determine a desirable DMA configuration mainly supplied directly by trunk mains.

Item Type: Article
Uncontrolled Keywords: District metered area; graph theory; optimal rehabilitation; water distribution systems
Subjects: Construction and engineering > Civil and environmental engineering
Depositing User: Kourosh Behzadian Moghadam
Date Deposited: 04 Jan 2018 09:19
Last Modified: 19 Feb 2018 12:35
URI: http://repository.uwl.ac.uk/id/eprint/4263

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