Sectorization and Management of Nighttime Pressures for Leak Reduction in Water Distribution Networks

Authors

  • Melina Denardi Universidad Tecnológica Nacional, Facultad Regional Rafaela, Laboratorio de Métodos y Simulaciones Computacionales. Rafaela, Argentina.
  • Jezabel D. Bianchotti Universidad Tecnológica Nacional, Facultad Regional Rafaela, Laboratorio de Métodos y Simulaciones Computacionales. Rafaela, Argentina.
  • Carlos A. Bonetti Universidad Tecnológica Nacional, Facultad Regional Rafaela, Laboratorio de Métodos y Simulaciones Computacionales. Rafaela, Argentina.
  • Sergio E. Bertone Universidad Tecnológica Nacional, Facultad Regional Rafaela, Laboratorio de Métodos y Simulaciones Computacionales. Rafaela, Argentina.
  • Gabriel D. Puccini Universidad Tecnológica Nacional, Facultad Regional Rafaela, Laboratorio de Métodos y Simulaciones Computacionales. Rafaela, Argentina.

DOI:

https://doi.org/10.70567/mc.v41i16.83

Keywords:

Resilience, District Metered Areas, Pressure Control Zones

Abstract

Sectorization and pressure management are fundamental techniques aimed at simplifying the detection, control, and reduction of background leaks in water distribution networks. This study proposes a three-stage methodology that integrates both techniques. The first stage focuses on identifying conceptual cuts to achieve optimal network division into communities, maximizing the modularity index through a Louvain-type algorithm. In the second stage, the methodology optimally designs District Metering Areas (DMAs) by reconnecting conceptual cuts. Utilizing simulated annealing, it aims to optimize two conflicting objectives: minimizing resilience loss during peak demand and maximizing the number of closed pipes between DMAs. The third stage aims to establish pressure control zones by installing and optimally activating potential pressure reducing valves in the open pipes connecting DMAs. Simulated annealing is applied to minimize resilience during low-demand nighttime hours. Applied to a real medium-sized network, this methodology has demonstrated effective sectorization into DMAs and a significant reduction in daily leak volumes.

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Published

2024-11-08

Issue

Section

Conference Papers in MECOM 2024

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