Hydraulic and Water Quality Reliability of Water Distribution System under Uncertain Conditions

Wang, Yumin; Zhu, Guangcan

doi:10.1061/(asce)ps.1949-1204.0000676

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…Pankaj et al (2022) used a cuckoo search optimization algorithm to solve a WDN design problem with water quality uncertainties with Monte Carlo simulations. In the same sense, Wang and Zhu (2022) developed work that considers, in addition to uncertainty in water quality, the hydraulic reliability of the network. Cunha et al (2023) proposed a statistical methodology for generating uncertain scenarios in WDN.…”

Section: Literature Reviewmentioning

confidence: 99%

Water Distribution Networks Optimization Considering Uncertainties in the Demand Nodes

Cassiolato,

Ruiz-Femenia,

Salcedo-Diaz

et al. 2024

Water Resour Manage

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The fluctuation in the consumption of treated water is a situation that distribution networks gradually face. In times of greater demand, this consumption tends to suffer unnecessary impacts due to the lack of water. The uncertainty that occurs in water consumption can be mathematically modeled by a finite set of scenarios generated by a normal distribution and attributed to the network design. This study presents an optimization model to minimize network installation and operation costs under uncertainties in water demands. A Mixed Integer Nonlinear Programming model is proposed, considering the water flow directions in the pipes as unknown. A deterministic approach is used to solve the problem in three steps: First, the problem is solved with a nominal value for each uncertain parameter. In the second stage, the problem is solved for all scenarios, with the independent variables of the scenario being fixed and obtained from the solution reached in the first stage, known as the deterministic solution. Finally, all scenarios are solved without fixing any variable values, in a stochastic approach. Two case studies were used to test the applicability of the model and global optimization techniques were used to solve the problem. The results show that the stochastic solution can lead to optimal solutions for robust and flexible water distribution networks, capable of working under different conditions, considering the uncertainties of node demand and variable pipe directions.

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Section: Literature Reviewmentioning

confidence: 99%

Water Distribution Networks Optimization Considering Uncertainties in the Demand Nodes

Cassiolato,

Ruiz-Femenia,

Salcedo-Diaz

et al. 2024

Water Resour Manage

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“…Conducting computer simulations of the operation of the water supply network is intended to help in finding a method and a way to improve the quality of water supplied by the water supply network (Wang & Zhu, 2022). Using special software, it is possible to model, e.g.…”

Section: Introductionmentioning

confidence: 99%

Water age modeling as a tool to improve the quality and reduce the costs of water treatment in Polanica-Zdrój

Kruszynski,

Andraka,

Kaźmierczak

et al. 2023

EiS

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The article contains part of the results of the project Protection of Natural Water Resources in Polanica-Zdrój through Intelligent Water and sewage management. The article presents the research results into the water supply network (WDN). The aim of the research was to improve the quality of water and reduce the cost of its treatment by reducing the age of the water. For this purpose, a model was built that takes into account the time in which water stays in a given section from the moment it flows out of the intake and mixes with the water already present in the network. The research was preceded by the construction of a model based on GIS geodetic data and a digital terrain model. On the basis of the simulations and analyses carried out, a solution was proposed to reduce the average age of water in the investigated WDN.

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Integrated Sustainability Index for Assessing the Performance of Water Distribution Network

Pandey,

Srinivas

2024

Water Resour Manage

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Hydraulic and Water Quality Reliability of Water Distribution System under Uncertain Conditions

Cited by 3 publications

References 38 publications

Water Distribution Networks Optimization Considering Uncertainties in the Demand Nodes

Water Distribution Networks Optimization Considering Uncertainties in the Demand Nodes

Water age modeling as a tool to improve the quality and reduce the costs of water treatment in Polanica-Zdrój

Integrated Sustainability Index for Assessing the Performance of Water Distribution Network

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