Appraisal of Source Head Methods for Calculating Reliability of Water Distribution Networks

Tanyimboh, Tiku T.; Tabesh, Massoud; Burrows, Roger

doi:10.1061/(asce)0733-9496(2001)127:4(206)

Cited by 123 publications

(86 citation statements)

References 17 publications

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“…Hydraulic reliability represents the probabilistic expectation of the ratio of the flow delivered to the flow required Templeman 1995, 1998;Gargano and Pianese 2000;Tanyimboh et al 2001). The failure tolerance, similarly, represents the probabilistic expectation of the ratio of the flow delivered to the flow required when one or more components of the distribution system are unavailable Templeman 1995, 1998;Tanyimboh et al 2001).…”

Section: Hydraulic Reliability Measuresmentioning

confidence: 99%

“…The failure tolerance, similarly, represents the probabilistic expectation of the ratio of the flow delivered to the flow required when one or more components of the distribution system are unavailable Templeman 1995, 1998;Tanyimboh et al 2001). The evaluation of the hydraulic reliability requires multiple analyses of the distribution system under both normal and subnormal operating conditions.…”

Section: Hydraulic Reliability Measuresmentioning

confidence: 99%

“…The failure tolerance represents the probabilistic expectation of the fraction of the required flow that the distribution system satisfies at adequate pressure when one or more components are not in service Templeman 1995, 1998;Tanyimboh et al 2001).…”

Section: Failure Tolerancementioning

confidence: 99%

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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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Section: Hydraulic Reliability Measuresmentioning

confidence: 99%

Section: Hydraulic Reliability Measuresmentioning

confidence: 99%

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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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“…기존의 연구에서 상수관망시스템의 설계, 펌프운용, 밸브설치, 저수지 및 탱크 수위계산 등의 '수리학적 평가'를 위해 사용된 기법 은 대부분 DDA였지만 화재발생으로 인한 용수수요 급증, 관거 파손 등과 같이 상수관망시스템이 비정상상태인 경 우 DDA는 수요절점에서 부압이 계산되는 것과 같은 비 현실적인 결과를 제공할 수 있다 (Gupta and Bhave, 1996;Tanyimboh and Tabesh, 1997;Mays, 2003 (Goulter and Coal, 1986;Su et al, 1987;Wagner et al, 1988;Fujiwara and Ganesharajah, 1993;Tanyimboh et al, 2000;Tabesh et al, 2001;Tabesh et al, 2004;Ozger, 2003;Mays, 2003;Ang andJowitt, 2006, 백천우 등, 2010) Brans and Vincke, 1985), DEA(Data Envelopment Analysis; Charnes et al, 1978 또한 HOR 획득과 관련된 문제를 해결하기 위해 실질 적인 HOR을 정의하기 위한 많은 연구가 수행되었으며 (Bhave, 1981;Goulter and Coal, 1986;Su et al, 1987;Germanopoulos, 1985;Elango, 1989, 1991;Wagner et al, 1988;Chandapillai, 1991;Fujiwara and Ganesharajah, 1993), 계산시간을 단축하기 위해 최적화 기법을 사용한 모형 (Baek et al, 2010)과 modified Global Gradient Algorithm을 이용하여 모의시간을 획기적으로 단축시킨 모형 (1) Partial-flow: …”

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Estimating the Reliability of Water Distribution Systems Using HSPDA Model and Distance Measure Method

Baek¹,

Jun²,

Kim³

2010

Journal of Korea Water Resources Association

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Topological and hydraulic assessments to examine whether required demand and pressure are satisfied and using these assessed results as a criteria have been general methodology for reliability assessment of water distribution systems. However, many of existing studies that used nodal pressure calculated by hydraulic assessment for reliability assessment have two major issues to be solved. The one is that demand-driven analysis was used for hydraulic assessment and the other is that serviceability was not considered for reliability assessment. In addition, all of the studies used pressure-demand analysis which is suitable to hydraulic analysis for water distribution systems under abnormal operating condition considered only available nodal demand for reliability assessment. This means that advantages which can be obtained by pressure-driven analysis are not used properly and efficiently. In this study, new methodology for reliability assessment of water distribution systems using HSPDA model and distance measure method is suggested. This methodology considers both nodal pressure and nodal available demand for reliability assessment. Suggested methodology is applied to two water distribution systems to show its applicability and application results are compared with existing study.

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“…Una red puede presentar un valor de fiabilidad relativamente alto y sin embargo ofrecer un comportamiento muy deficiente ante posibles situaciones de fallo. Es aconsejable para evaluar el comportamiento de la red ante posibles fallos, usar el concepto de tolerancia al fallo (Tanyimboh et al, 2001;Kalungi y Tanyimboh, 2003) evaluado según:…”

Section: Redundancia Fiabilidad Y Tolerancia Al Fallounclassified

Diseño óptimo de sistemas de distribución de agua mediante Agent Swarm Optimization

Arango¹

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Appraisal of Source Head Methods for Calculating Reliability of Water Distribution Networks

Cited by 123 publications

References 17 publications

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

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

Estimating the Reliability of Water Distribution Systems Using HSPDA Model and Distance Measure Method

Diseño óptimo de sistemas de distribución de agua mediante Agent Swarm Optimization

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