Abstract

In recent years, recovering energy while managing excessive pressure in water distribution networks (WDNs) has gradually taken hold through the use of Pumps as Turbines (PATs). Therefore, algorithms commonly used for the optimizations of WDNs require modifications to incorporate these devices. Within this study, an intermediate step toward a new Hybrid Genetic Algorithm (HGA) for the optimal placement and setting of PATs within WDNs is proposed. The described methodology is based on a non-linear optimization algorithm, the Powell Direction Set (PDS) method. For each WDN configuration with PATs, a non-linear univariate function, namely the energy production subjected to pressure and technical constraints, is maximized by the PDS method. The promising capabilities of the algorithm are demonstrated with a case study.

Highlights

  • Water Distribution Networks (WDNs) are commonly considered low efficiency systems due to the high energy required to deliver water to users

  • Several works have been devoted to leakage reduction through Pressure Management (PM) techniques based on the optimal location of pressure reducing devices [3,4], such as Pressure Reducing Valves (PRV)

  • Installing the Pumps as Turbines (PATs) on the same branch but in the opposite direction, the algorithm returned a null setting for each hour of the day

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Summary

Introduction

Water Distribution Networks (WDNs) are commonly considered low efficiency systems due to the high energy required to deliver water to users. In many countries, they represent one of the main cause of energy consumption. WDNs. Leakages may cause inefficient energy distribution through the network, wasting energy otherwise available for pumping water, and they may affect water quality by allowing the introduction of pathogens during low pressure conditions. Leakages reduction techniques have attracted the interest of many researchers and practitioners. Several works have been devoted to leakage reduction through Pressure Management (PM) techniques based on the optimal location of pressure reducing devices [3,4], such as Pressure Reducing Valves (PRV)

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