The Optimization of Energy Recovery Device Sizes and Locations in Municipal Water Distribution Systems during Extended-Period Simulation

Excess pressure within water distribution systems not only increases the risk for water losses through leakages but provides the potential for harnessing excess energy through the installation of energy recovery devices, such as turbines or pump-as-turbines. The effect of pressure management on leak...

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Main Authors: Gideon Johannes Bonthuys, Marco van Dijk, Giovanna Cavazzini
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/9/2447
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author Gideon Johannes Bonthuys
Marco van Dijk
Giovanna Cavazzini
author_facet Gideon Johannes Bonthuys
Marco van Dijk
Giovanna Cavazzini
author_sort Gideon Johannes Bonthuys
collection DOAJ
description Excess pressure within water distribution systems not only increases the risk for water losses through leakages but provides the potential for harnessing excess energy through the installation of energy recovery devices, such as turbines or pump-as-turbines. The effect of pressure management on leakage reduction in a system has been well documented, and the potential for pressure management through energy recovery devices has seen a growth in popularity over the past decade. Over the past 2 years, the effect of energy recovery on leakage reduction has started to enter the conversation. With the theoretical potential known, researchers have started to focus on the location of energy recovery devices within water supply and distribution systems and the optimization thereof in terms of specific installation objectives. Due to the instrumental role that both the operating pressure and flow rate plays on both leakage and potential energy, daily variation and fluctuations of these parameters have great influence on the potential energy recovery and subsequent leakage reduction within a water distribution system. This paper presents an enhanced optimization procedure, which incorporates user-defined weighted importance of specific objectives and extended-period simulations into a genetic algorithm, to identify the optimum size and location of potential installations for energy recovery and leakage reduction. The proposed procedure proved to be effective in identifying more cost-effective and realistic solutions when compared to the procedure proposed in the literature.
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spelling doaj.art-a7b8c0f9d46146549d70c4b43066041d2023-11-20T12:04:04ZengMDPI AGWater2073-44412020-08-01129244710.3390/w12092447The Optimization of Energy Recovery Device Sizes and Locations in Municipal Water Distribution Systems during Extended-Period SimulationGideon Johannes Bonthuys0Marco van Dijk1Giovanna Cavazzini2Surface Water Department, Golder Associates Africa (Pty) Ltd., Golder House, Magwa Crescent West, Waterfall City, Midrand 1685, South AfricaDepartment of Civil Engineering, University of Pretoria, Lynnwood Road, Hatfield, Pretoria 0002, South AfricaDepartment of Industrial Engineering, University of Padova, Via Venezia, 1-35131 Padova, ItalyExcess pressure within water distribution systems not only increases the risk for water losses through leakages but provides the potential for harnessing excess energy through the installation of energy recovery devices, such as turbines or pump-as-turbines. The effect of pressure management on leakage reduction in a system has been well documented, and the potential for pressure management through energy recovery devices has seen a growth in popularity over the past decade. Over the past 2 years, the effect of energy recovery on leakage reduction has started to enter the conversation. With the theoretical potential known, researchers have started to focus on the location of energy recovery devices within water supply and distribution systems and the optimization thereof in terms of specific installation objectives. Due to the instrumental role that both the operating pressure and flow rate plays on both leakage and potential energy, daily variation and fluctuations of these parameters have great influence on the potential energy recovery and subsequent leakage reduction within a water distribution system. This paper presents an enhanced optimization procedure, which incorporates user-defined weighted importance of specific objectives and extended-period simulations into a genetic algorithm, to identify the optimum size and location of potential installations for energy recovery and leakage reduction. The proposed procedure proved to be effective in identifying more cost-effective and realistic solutions when compared to the procedure proposed in the literature.https://www.mdpi.com/2073-4441/12/9/2447extended-period simulationgenetic algorithmenergy recoveryleakage reductionwater distribution
spellingShingle Gideon Johannes Bonthuys
Marco van Dijk
Giovanna Cavazzini
The Optimization of Energy Recovery Device Sizes and Locations in Municipal Water Distribution Systems during Extended-Period Simulation
Water
extended-period simulation
genetic algorithm
energy recovery
leakage reduction
water distribution
title The Optimization of Energy Recovery Device Sizes and Locations in Municipal Water Distribution Systems during Extended-Period Simulation
title_full The Optimization of Energy Recovery Device Sizes and Locations in Municipal Water Distribution Systems during Extended-Period Simulation
title_fullStr The Optimization of Energy Recovery Device Sizes and Locations in Municipal Water Distribution Systems during Extended-Period Simulation
title_full_unstemmed The Optimization of Energy Recovery Device Sizes and Locations in Municipal Water Distribution Systems during Extended-Period Simulation
title_short The Optimization of Energy Recovery Device Sizes and Locations in Municipal Water Distribution Systems during Extended-Period Simulation
title_sort optimization of energy recovery device sizes and locations in municipal water distribution systems during extended period simulation
topic extended-period simulation
genetic algorithm
energy recovery
leakage reduction
water distribution
url https://www.mdpi.com/2073-4441/12/9/2447
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