The University of Sheffield
Browse
F19.pdf (2.88 MB)

CCWI2017: F19 'Multi-object approach for WSN Partitioning in the framework of Pressure Driven Analysis'

Download (2.88 MB)
journal contribution
posted on 2017-09-01, 15:19 authored by Creaco E., Di Nardo A., Di Natale M., Giudicianni C., Santonastaso G.F.
This paper proposes a novel methodology for WSN (water supply network) partitioning, made up of two serial steps and aimed at investigating leakage reduction benefits as a dual-use value of water network partitioning (WNP). Step 1 makes use of a spectral clustering algorithm to define the optimal layout of the districts, exploiting the properties of the connectivity matrix and giving a mathematical elegance to the arduous problem of optimal cluster definition. Taking the partitioning results of step 1 as granted, Step 2 deals with closure of isolation valves and installation of flow meters in the boundary pipes between either district. In the context of Step 2, a bi-objective optimization, aimed at maximizing the daily water volume supplied to the WSN users and at minimizing the leakage, is performed, in which network behavior is tested in PDA (pressure driven analysis). The applicability of the methodology is shown in a real case study.

History

Usage metrics

    Department of Civil and Structural Engineering

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC