Water Supply Network Partitioning Based on Simultaneous Cost and Energy Optimization

Water Network Partitioning (WNP) improves water network management, simplifying the computation of water budgets and, consequently, allowing the identification and reduction of water loss. It is achieved by inserting flow meters and gate valves in the network, previously clustered in subsystems. The...

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Bibliographic Details
Published in:Procedia engineering Vol. 162; pp. 238 - 245
Main Authors: Di Nardo, Armando, Di Natale, Michele, Giudicianni, Carlo, Santonastaso, Giovanni Francesco, Tzatchkov, Velitchko, Varela, José Manuel Rodriguez, Yamanaka, Victor Hugo Alcocer
Format: Journal Article
Language:English
Published: Elsevier Ltd 2016
Subjects:
graph partitioning
multi-objective optimization
resilience
SWANP
Water network partitioning
Water network partitioning
multi-objective optimization
graph partitioning
SWANP
resilience
ISSN:1877-7058, 1877-7058
Online Access:Get full text
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Summary:Water Network Partitioning (WNP) improves water network management, simplifying the computation of water budgets and, consequently, allowing the identification and reduction of water loss. It is achieved by inserting flow meters and gate valves in the network, previously clustered in subsystems. The clustering and partitioning phases are carried out with different procedures. The first one requires clustering algorithms that assign network nodes to each district (or cluster). The second one chooses the boundary pipes where flow meters or gate valves are to be inserted. In this paper, SWANP software is employed to achieve a network clustering through two different algorithms based on a multilevel-recursive bisection and community-structure procedures. After that, a novel multi-objective function is introduced and applied to a large Mexican network integrating both cost and energy performance, thus providing a smart Decision Support System (DSS) based on qualitative and quantitative measures, and diagrams for evaluating the optimal layout in terms of the number of districts, cost, and hydraulic performance.
ISSN:1877-7058
1877-7058
DOI:10.1016/j.proeng.2016.11.048