Prioritized Rehabilitation of Water Distribution Networks Using Dissipated Power Concept to Reduce Non-Revenue Water

Saldarriaga, Juan; Moreno, Mario; Romero, Natalia; Cortés, Óscar

doi:10.1061/40976(316)488

Cited by 6 publications

(9 citation statements)

References 9 publications

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“…NRW corresponds to water loss due to leaks, commercial problems, and nonbilled consumption such as a lack of water meter precision or mistakes in client databases. In (1), A p is the volume of water produced per unit time and A b is the volume of billed water per unit time [1]:…”

Section: Definition Of Nrw In Water Distribution Systemsmentioning

confidence: 99%

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A Parameter Classification System for Nonrevenue Water Management in Water Distribution Networks

Jang

2018

Advances in Civil Engineering

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Nonrevenue water (NRW) in a water distribution network is the water lost from unbilled authorized consumption, apparent losses, and real losses compared to the total system input volume. Nonrevenue water is an important parameter for prioritizing water distribution network improvement intervention planning, and it is necessary to identify the affecting parameters. A factor classification system has been developed based on the factors suggested by major institutions and researchers to propose an effective NRW classification system in a water distribution network. e factor classifications used include physical, operational, and socioeconomic factors that could affect NRW. Appropriate standards are required when classifying water main parameters. In this study, three criteria were proposed to create independent factors. e first relates to the properties of the parameter. One determines whether the parameters related to the water network are more suitable for physical, operational, or socioeconomic factors and classifies them into one of these three parameters. Second, one considers data availability and data characteristics taking into account the scope of the coverage area. ird, it must be possible to quantify selected parameter data. Whether the collected data are numerically valid and whether it can be used as a standard for assessment or comparison between regions must be examined. e quantification portion of the qualitative data in managing NRW is important and needs to be used in accordance with reasonable standards. In this study, more factors can be used depending on those selected, and it was found that NRW prediction that reflects regional characteristics is possible.

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Section: Definition Of Nrw In Water Distribution Systemsmentioning

confidence: 99%

“…Additionally, the continuing increase in consumer water demand presents additional problems such as low pressure in a pipe network. Migration to urban areas and rapidly growing populations in developing countries has resulted in a vital need for the construction of adequate water systems to distribute water to residents [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

A Parameter Classification System for Nonrevenue Water Management in Water Distribution Networks

Jang

2018

Advances in Civil Engineering

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“…In Equation (1), A p is the volume of water produced per time unit and A b is the volume of billed water per time unit [2].…”

Section: Non-revenue Water Of a Water Distribution Networkmentioning

confidence: 99%

“…NRW is the difference between the volume of water put into a water distribution system and that billed to customers. The NRW ratio comprises three components [2].…”

Section: Non-revenue Water Of a Water Distribution Networkmentioning

confidence: 99%

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Estimation of Non-Revenue Water Ratio Using MRA and ANN in Water Distribution Networks

Jang

Choi

2017

Water

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Abstract:The non-revenue water (NRW) ratio in water distribution networks is the ratio of losses from unbilled authorized consumption and apparent and real losses to the total water supply. NRW is an important parameter for prioritizing the improvement of a water distribution system and identifying the influencing parameters. Though the method using multiple regression analysis (MRA) is a statistical analysis method for estimating the NRW ratio using the main parameters of a water distribution system, it has disadvantages in that the accuracy is low compared to the measured NRW ratio. In this study, an artificial neural network (ANN) was applied to estimate the NRW ratio to improve assessment accuracy and suggest an efficient methodology to identify related parameters of the NRW ratio. When using an ANN with the optimal number of neurons, the accuracy of estimation was higher than that of conventional statistical methods, as with MRA.

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Determination of Optimal Location and Settings of Pressure Reducing Valves in Water Distribution Networks for Minimizing Water Losses

Saldarriaga¹,

Salcedo²

2015

Procedia Engineering

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The determination of the optimal location and settings of PRV is an operational problem that water utilities must deal with in order to reduce the real losses that are inherent to their water distribution system. In this research, a multi-objective optimization approach was developed to provide an optimal solution for the addressed problem, using the well-known metaheuristic algorithm NSGA-II and including the usage of hydraulic criteria to reduce the solution space, in order to enhance the performance of the procedure. The proposed methodology was tested using two different networks, which differ in their leakage configuration and the hydraulic parameters used for this modeling.

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Prioritized Rehabilitation of Water Distribution Networks Using Dissipated Power Concept to Reduce Non-Revenue Water

Cited by 6 publications

References 9 publications

A Parameter Classification System for Nonrevenue Water Management in Water Distribution Networks

A Parameter Classification System for Nonrevenue Water Management in Water Distribution Networks

Estimation of Non-Revenue Water Ratio Using MRA and ANN in Water Distribution Networks

Determination of Optimal Location and Settings of Pressure Reducing Valves in Water Distribution Networks for Minimizing Water Losses

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