2014
DOI: 10.1016/j.proeng.2014.11.160
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A Simulation-Optimization Approach for Reducing Background Leakage in Water Systems

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Cited by 13 publications
(6 citation statements)
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“…Step 1: Place PRVs The PRV placement process was carried out by DMA as described previously (Eck et al 2014). The analysis placed valves based on conditions at 166 hours as this was the time of maximum demand (Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…Step 1: Place PRVs The PRV placement process was carried out by DMA as described previously (Eck et al 2014). The analysis placed valves based on conditions at 166 hours as this was the time of maximum demand (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Comparing to heuristic methods, the chief advantage of MINLP is obtaining solutions with local optimality. Locations for new pressure reducing valves were found by solving the following optimization model (Eck et al 2014).…”
Section: Simulating Leakage At Pipe Levelmentioning
confidence: 99%
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“…Considering such simplified topology, the most cost effective PRV placement strategy and pipe upgrading options for each branch cluster were identified. Eck et al (2014) proposed a methodology that decomposes the problem according to the type of intervention, considering and assessing each type in sequence. Initially, a diagnosis of the network is performed through simulating its hydraulic behavior with no infrastructure or operational modifications.…”
Section: Brief Presentation Of Methodologies Proposed By the Participmentioning
confidence: 99%
“…Due to computational tractability issues, only skeletonized versions of the system are implemented in these studies. Works by Eck et al (2014), Naoum-Sawaya et al (2015, and Wang & Chen (2016) present metaheuristic and simulation-driven optimization approaches as an alternative in which every single asset in a distribution system can be accounted for. The methods presented by these authors allow for a systemwide analysis and prioritization of assets.…”
Section: Background and Literature Reviewmentioning
confidence: 99%