A Quantified Assessment of the Relationship Between the Reliability and Entropy of Water Distribution Systems

Mboh, Tiku T. Tany; Templeman, Andrew B.

doi:10.1080/03052150008940916

Cited by 100 publications

(61 citation statements)

References 15 publications

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“…Farmani et al (2005Farmani et al ( , 2006 considered the resilience index (Todini 2000) and water age (Rossman 2002). Prasad and Tanyimboh (2008) investigated the statistical flow entropy (Tanyimboh and Templeman 2000;Tanyimboh et al 2011) and resilience index. More recently Atkinson et al (2014) maximized flow entropy and resilience index at once in an attempt to generate hybrid solutions with properties derived from the two measures.…”

Section: Introductionmentioning

confidence: 99%

Penalty-Free Multi-Objective Evolutionary Approach to Optimization of Anytown Water Distribution Network

Siew

Tanyimboh

Seyoum

2016

Water Resour Manage

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This paper describes the development and application of a new multiobjective evolutionary optimization approach for the design and upgrading of water distribution systems with multiple pumps and service reservoirs. The optimization model employs a pressure-driven analysis simulator that accounts for the minimum node pressure constraints and conservation of mass and energy. Pump scheduling, tank siting and tank design are integrated seamlessly in the optimization without introducing additional heuristic procedures. The computational solution of the optimization problem is entirely penalty-free, thanks to pressure-driven analysis and the inclusion of explicit criteria for tank depletion and replenishment. The model was applied to the Anytown network that is a benchmark optimization problem. Many new solutions were achieved that are cheaper and offer superior performance compared to previous solutions in the literature. Detailed and extensive simulations of the solutions achieved were carried out. Spatial and temporal variations in water quality were investigated by simulating the chlorine residual and disinfection by-products in addition to water age. The hydraulic requirements were satisfied; efficiency of pumps was consistently high; effective operation of the new and existing tanks was achieved; water quality was improved; and overall computational efficiency was high. The formulation is entirely generic.Keywords Demand-driven analysis . Pressure-driven analysis . Penalty-free constrained multiobjective evolutionary optimization . Water distribution system . Optimal pump scheduling . Service reservoir design and operation Water Resour Manage (2016) 30:3671-3688

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Section: Introductionmentioning

confidence: 99%

Penalty-Free Multi-Objective Evolutionary Approach to Optimization of Anytown Water Distribution Network

Siew

Tanyimboh

Seyoum

2016

Water Resour Manage

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“…Tanyimboh and Tabesh (1997a) have shown that quite accurate estimates of the reliability of water distribution systems can be obtained by averaging the upper and lower bound estimates of the reliability, which can be done in a relatively straightforward way (Tanyimboh and Templeman, 2000). Therefore, it might be possible in the above manner to address the concern raised by the authors that such a reliability measure may be inappropriate because it may be incomplete if it does not include all possible failure events.…”

Section: Reliability-based Optimal Design Of Water Distribution Netwomentioning

confidence: 99%

Reliability-Based Optimal Design of Water Distribution Networks

Tanyimboh¹,

Kalungi²,

et al. 2001

J. Water Resour. Plann. Manage.

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“…It can be observed that apart from the solution with a Phase I duration of 14 years, the EA solutions are cheaper than the corresponding LP solutions. The main reason is that the LP solutions are maximum-entropy designs that are inherently more expensive (Tanyimboh and Templeman 2000).…”

Section: Examplementioning

confidence: 99%

“…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: 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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A Quantified Assessment of the Relationship Between the Reliability and Entropy of Water Distribution Systems

Cited by 100 publications

References 15 publications

Penalty-Free Multi-Objective Evolutionary Approach to Optimization of Anytown Water Distribution Network

Penalty-Free Multi-Objective Evolutionary Approach to Optimization of Anytown Water Distribution Network

Reliability-Based Optimal Design of Water Distribution Networks

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

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