Pressure Management Model for Urban Water Distribution Networks

Nazif, Sara; Karamouz, ‪Mohammad; Tabesh, Massoud; Moridi, Ali

doi:10.1007/s11269-009-9454-x

Cited by 115 publications

(39 citation statements)

References 23 publications

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“…Some of them are structural solutions such as using pressure reducing valves or pump stations in appropriate locations. There are also non-structural solutions, which are tackled through management schemes, are very effective, and require no capital investment (Nazif et al, 2010).…”

Section: Leakage Assessment Methodsmentioning

confidence: 99%

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Decision model to control water losses in distribution networks

Fontana

Morais

2016

Prod.

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The losses in the urban water supply networks have become a growing concern. There are several alternatives for the quantification, detection and monitoring of water losses. However, in general, water companies have budgetary and other constraints that hinder implementation. Therefore, this paper presents a model to aid the selection of a subset of preventive maintenance actions to control water losses while accounting for the water companies' restrictions. The model combines an additive multi-attribute value analysis by applying the SMARTER method to evaluate alternatives with Integer Linear Programming (ILP). The model shows to be efficient in order to achieve a portfolio of preventive maintenance actions, particularly when the decision maker considers that, there is a compensation for attribute evaluations. KeywordsWater distribution network. Water loss control. Multi-attribute. SMARTER method. Integer linear programming.

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Section: Leakage Assessment Methodsmentioning

confidence: 99%

“…One technique for leakage reduction is pressure management, which considers the direct relationship between leakage and pressure (Nazif et al, 2010;Nicolini & Zovatto, 2009). This is because pipe pressure affects leakage in a number of ways, and pressure management can realize a substantial reduction in leakage.…”

Section: Introductionmentioning

confidence: 99%

Decision model to control water losses in distribution networks

Fontana

Morais

2016

Prod.

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“…Nazif et al [24] address pressure management by regulating the storage level, minimizing leakage at the same time. For that purpose, a genetic algorithm was used.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for the Optimization of Flow Rate Injection to Looped Water Distribution Networks through Multiple Pumping Stations

Celi

Iglesias-Rey

Martínez-Solano

et al. 2016

Water

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Abstract:The optimal function of a water distribution network is reached when the consumer demands are satisfied using the lowest quantity of energy, maintaining the minimal pressure required at the same time. One way to achieve this is through optimization of flow rate injection based on the use of the setpoint curve concept. In order to obtain that, a methodology is proposed. It allows for the assessment of the flow rate and pressure head that each pumping station has to provide for the proper functioning of the network while the minimum power consumption is kept. The methodology can be addressed in two ways: the discrete method and the continuous method. In the first method, a finite set of combinations is evaluated between pumping stations. In the continuous method, the search for the optimal solution is performed using optimization algorithms. In this paper, Hooke-Jeeves and Nelder-Mead algorithms are used. Both the hydraulics and the objective function used by the optimization are solved through EPANET and its Toolkit. Two case studies are evaluated, and the results of the application of the different methods are discussed.

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“…In this sense, some researchers have successfully applied these techniques for watershed management [7,8], optimal reservoir operations [9], leak detection [10,11], reliability maximization [12], solving complex supply systems [4,13], controlling hydraulic pressure in a water distribution network [14,15], drainage networks sizing [16,17], etc.…”

Section: Introductionmentioning

confidence: 99%

The Efficiency of Setting Parameters in a Modified Shuffled Frog Leaping Algorithm Applied to Optimizing Water Distribution Networks

Mora-Meliá

Iglesias-Rey

Martínez-Solano

et al. 2016

Water

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This paper presents a modified Shuffled Frog Leaping Algorithm (SFLA) applied to the design of water distribution networks. Generally, one of the major disadvantages of the traditional SFLA is the high number of parameters that need to be calibrated for proper operation of the algorithm. A method for calibrating these parameters is presented and applied to the design of three benchmark medium-sized networks widely known in the literature (Hanoi, New York Tunnel, and GoYang). For each of the problems, over 35,000 simulations were conducted. Then, a statistical analysis was performed, and the relative importance of each of the parameters was analyzed to achieve the best possible configuration of the modified SFLA. The main conclusion from this study is that not all of the original SFL algorithm parameters are important. Thus, the fraction of frogs in the memeplex q can be eliminated, while the other parameters (number of evolutionary steps N s , number of memeplexes m, and number of frogs n) may be set to constant values that run optimally for all medium-sized networks. Furthermore, the modified acceleration parameter C becomes the key parameter in the calibration process, vastly improving the results provided by the original SFLA.

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Pressure Management Model for Urban Water Distribution Networks

Cited by 115 publications

References 23 publications

Decision model to control water losses in distribution networks

Decision model to control water losses in distribution networks

A Methodology for the Optimization of Flow Rate Injection to Looped Water Distribution Networks through Multiple Pumping Stations

The Efficiency of Setting Parameters in a Modified Shuffled Frog Leaping Algorithm Applied to Optimizing Water Distribution Networks

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