Optimal Design of Water Distribution Systems with Pressure Driven Demands

Páez, D.; Saldarriaga, Juan; López, Laura; Salcedo, Camilo

doi:10.1016/j.proeng.2014.11.515

Cited by 11 publications

(5 citation statements)

References 12 publications

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“…Rasekh and Brumbelow (2014) used evolutionary algorithms to optimize the hydrant discharges and used PDA for simulation during execution of response action as the network become pressuredeficient due to large withdrawal at hydrant points. Paez et al (2014) considered nodal demands comprising of bulk and pressuredependent demand. The pressure-dependent demand modelled using emitter changes with the available pressure.…”

Section: Flushing Of Contaminated Watermentioning

confidence: 99%

History of Pressure-Dependent Analysis of Water Distribution Networks and Its Applications

Gupta¹

2015

World Environmental and Water Resources Congress 2015

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An analysis that considers a relationship between nodal demand and available nodal pressure to determine the outflow at that node is carried out and mostly referred as pressure-dependent analysis (PDA). Further, not only the outflow but some demand itself such as leakage losses and water demand at sprinklers, faucets etc., are also considered dependent on pressure. Several node head-flow relationships (NHFRs) have been suggested along with the methodologies for their solution in the last three decades. Further, efforts have been also made to carry out PDA by using an efficient DDA based hydraulic network solver, EPANET. The PDA has been used in tackling a variety of problems on water distribution systems such as: assessing reliability, reliability-based design, parameter calibration, vulnerability analysis, placement of isolation valves, water quality analysis, flushing of contaminated water, leakage modelling, and multi-objective evolutionary optimization. This paper provides a complete development in PDA along with future research need.

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Section: Flushing Of Contaminated Watermentioning

confidence: 99%

History of Pressure-Dependent Analysis of Water Distribution Networks and Its Applications

Gupta¹

2015

World Environmental and Water Resources Congress 2015

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“…Based on their fitness, the best individuals are selected to yield an improved offspring in terms of the objective function (Sivanandam and Deepa 2008). Note that the technique is applicable for demanddriven models, i.e., networks in which the nodal demands are known and independent of the hydraulic behavior of the system, or pressure-driven models, i.e., networks in which the nodal flow rates show a dependency on the available pressure (Farmani et al 2007;Páez et al 2014). Simulated annealing (Cunha and Sousa 1999;Reca et al 2008;Cunha et al 2019), harmony search (Geem 2008), and Tabu search (Sung et al 2007;Cunha and Ribeiro 2004) are additional examples of metaheuristic approaches.…”

Section: Introductionmentioning

confidence: 99%

“…In pressure-driven models, the flow demands are unknown prior to the optimization of the WDN, thereby impeding the applicability of OPUS without supplemental adjustments (Saldarriaga 2016). In this regard, integer linear programming has been combined with some main features of OPUS, showing successful results (Páez et al 2013(Páez et al , 2014. Furthermore, hydraulic-based methodologies may also be used for preconditioning purposes or as feedback to improve the performance of metaheuristic algorithms as shown by Páez et al (2020) and Liu et al (2020).…”

Section: Introductionmentioning

confidence: 99%

Fractal Analysis of the Optimal Hydraulic Gradient Surface in Water Distribution Networks

Jaramillo

Saldarriaga

2023

J. Water Resour. Plann. Manage.

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This study aimed to examine the fractal properties of the optimal hydraulic gradient surface (OHGS), a geometrical body that describes the way in which the available energy should be spent within a water distribution network to ensure the calculation of a minimum capital cost design. For this purpose, multiple benchmark and Colombian systems were optimized and then analyzed to compute the fractal dimension of the OHGS and of the underlying structure of each network, which included the examination of randomly generated nonoptimal designs to recognize the differences in the fractal behavior of a least-cost and a more expensive solution. The results showed a dependency between the fractal properties of the OHGS and those of the topological structure, flow, and energy distribution inside the corresponding optimized network. Moreover, it was found that the degree of irregularity of the OHGS tended to be higher compared to a nonoptimal energy dissipation pattern. This suggests the applicability of the fractal analysis in optimization and operational improvement procedures.

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“…OPUS methodology, described in this paper, has become the basis for several applications to demand-driven models considering different topologies [24], and in pressure-driven models [25].…”

Section: Introductionmentioning

confidence: 99%

A Direct Approach for the Near-Optimal Design of Water Distribution Networks Based on Power Use

Saldarriaga

Páez

Salcedo

et al. 2020

Water

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In recent years, iterative computational techniques have been considered as the most effective methods to tackle the problem of Water Distribution System (WDS) minimum-cost design. Given their stochastic nature, these approaches involve a large number of hydraulic simulations in order to obtain suitable results. Herein, a WDS design methodology based entirely on hydraulic principles is presented. This methodology, named Optimal Power Use Surface (OPUS), focuses on both reaching low-cost designs and diminishing the number of hydraulic executions (iterations), by establishing efficient ways in which energy is dissipated and flow is distributed throughout the system. The algorithm was tested in four well known benchmark networks, previously reported in the literature. OPUS proved that following hydraulic principles is a fair choice to design WDS, showing plenty of potential in other water distribution mathematical modeling applications and offering an alternative for the extensive search process undertaken by metaheuristics.

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Optimal Design of Water Distribution Systems with Pressure Driven Demands

Cited by 11 publications

References 12 publications

History of Pressure-Dependent Analysis of Water Distribution Networks and Its Applications

History of Pressure-Dependent Analysis of Water Distribution Networks and Its Applications

Fractal Analysis of the Optimal Hydraulic Gradient Surface in Water Distribution Networks

A Direct Approach for the Near-Optimal Design of Water Distribution Networks Based on Power Use

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