Multistate Reliability of Water-Distribution Systems: Comparison of Surrogate Measures

Gheisi, A.; Naser, Gholamreza

doi:10.1061/(asce)wr.1943-5452.0000529

Cited by 45 publications

(24 citation statements)

References 48 publications

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“…It has been shown previously that on average reliability and redundancy increase as flow entropy increases in water distribution networks (Gheisi and Naser 2015). However, flow entropy is a relative measure for which there is no absolute scale.…”

Section: Maximum Entropy Flows In Networkmentioning

confidence: 99%

“…The results to date seem to indicate that flow entropy (Tanyimboh and Templeman 1993a) yields the most consistent results (Gheisi and Naser 2015;Liu et al 2016). Recent reviews and comparisons include Liu et al (2014Liu et al ( , 2016, , Gheisi and Naser (2015), Atkinson et al (2014) and Greco et al (2012). In particular, Gheisi and Naser (2015) emphasized the importance of failure tolerance while highlighted the need for more consistency in future comparisons.…”

Section: Introductionmentioning

confidence: 99%

“…Recent reviews and comparisons include Liu et al (2014Liu et al ( , 2016, , Gheisi and Naser (2015), Atkinson et al (2014) and Greco et al (2012). In particular, Gheisi and Naser (2015) emphasized the importance of failure tolerance while highlighted the need for more consistency in future comparisons.…”

Section: Introductionmentioning

confidence: 99%

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Informational Entropy: a Failure Tolerance and Reliability Surrogate for Water Distribution Networks

Tanyimboh

2017

Water Resour Manage

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Evolutionary algorithms are used widely in optimization studies on water distribution networks. The optimization algorithms use simulation models that analyse the networks under various operating conditions. The solution process typically involves cost minimization along with reliability constraints that ensure reasonably satisfactory performance under abnormal operating conditions also. Flow entropy has been employed previously as a surrogate reliability measure. While a body of work exists for a single operating condition under steady state conditions, the effectiveness of flow entropy for systems with multiple operating conditions has received very little attention. This paper describes a multi-objective genetic algorithm that maximizes the flow entropy under multiple operating conditions for any given network. The new methodology proposed is consistent with the maximum entropy formalism that requires active consideration of all the relevant information. Furthermore, an alternative but equivalent flow entropy model that emphasizes the relative uniformity of the nodal demands is described. The flow entropy of water distribution networks under multiple operating conditions is discussed with reference to the joint entropy of multiple probability spaces, which provides the theoretical foundation for the optimization methodology proposed. Besides the rationale, results are included that show that the most robust or failure-tolerant solutions are achieved by maximizing the sum of the entropies.

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Section: Maximum Entropy Flows In Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Informational Entropy: a Failure Tolerance and Reliability Surrogate for Water Distribution Networks

Tanyimboh

2017

Water Resour Manage

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“…The available evidence suggests that higher entropy values increase the uniformity of the pipe diameters along with the reliability (Tanyimboh and Templeman 1993b;Tanyimboh and Setiadi 2008). Strong positive correlation between flow entropy and both hydraulic reliability and failure tolerance has been reported (Tanyimboh and Templeman 2000;Tanyimboh et al 2011;Gheisi and Naser 2015). Atkinson et al (2014) observed that an increase in entropy promotes an increase in capacity that is more globally distributed throughout the distribution network.…”

mentioning

confidence: 97%

“…Comparisons of surrogate reliability measures include Prasad and Park (2004), Raad et al (2010), Baños et al (2011)), Tanyimboh et al (2011), Wu et al (2011), Greco et al (2012, Atkinson et al (2014), Liu et al (2014) and Gheisi and Naser (2015). While some of the studies simulated operating conditions with insufficient pressure realistically with pressuredependent modelling (Liu et al 2014;Gheisi and Naser 2015), others did not (e.g.…”

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confidence: 99%

Comparison of Surrogate Measures for the Reliability and Redundancy of Water Distribution Systems

Tanyimboh

Siew

Saleh

et al. 2016

Water Resour Manage

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An investigation into the effectiveness of surrogate measures for the hydraulic reliability and/or redundancy of water distribution systems is presented. The measures considered are statistical flow entropy, resilience index, network resilience and surplus power factor. Looped network designs that are maximally noncommittal to the surrogate reliability measures were considered. In other words, the networks were designed by multi-objective evolutionary optimization free of any influence from the surrogate measures. The designs were then assessed using each surrogate measure and two accurate but computationally intensive measures namely hydraulic reliability and pipe-failure tolerance. The results indicate that by utilising statistical flow entropy, the reliability of the network can be reasonably approximated, with substantial savings in computational effort. The results for the other surrogate measures were often inconsistent. Two networks in the literature were considered. One example involved a range of alternative network topologies. In the other example, based on wholelife cost accounting, alternative design and upgrading schemes for a 20-year design horizon were considered. Pressure-dependent hydraulic modelling was used to simulate pipe failures for the reliability calculations.

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Hydraulic Reliability Assessment of Water Distribution Networks Using Minimum Cut Set Method

Elshaboury

Attia

Marzouk

2021

Design and Construction of Smart Cities

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Multistate Reliability of Water-Distribution Systems: Comparison of Surrogate Measures

Cited by 45 publications

References 48 publications

Informational Entropy: a Failure Tolerance and Reliability Surrogate for Water Distribution Networks

Informational Entropy: a Failure Tolerance and Reliability Surrogate for Water Distribution Networks

Comparison of Surrogate Measures for the Reliability and Redundancy of Water Distribution Systems

Hydraulic Reliability Assessment of Water Distribution Networks Using Minimum Cut Set Method

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