Prioritised rehabilitation of water distribution networks using dissipated power concept to reduce non-revenue water

Saldarriaga, Juan; Ochoa, Susana; Moreno, Mario; Romero, Natalia; Cortés, Óscar

doi:10.1080/15730620903447621

Cited by 38 publications

(15 citation statements)

References 25 publications

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“…Cimellaro et al (2010) presented concepts of disaster resilience and procedure for its quantitative evaluation and the same is illustrated using two examples through hospital network subjected to earthquakes. Saldarriaga et al (2010) presented a new prioritization approach based on the resilience index and dissipated hydraulic power in the pipe to arrive hydraulically and economically near optimal solution to the rehabilitation problems. Pandit and Crittenden (2012) proposed an index to address the resilience using six network attributes.…”

Section: Resilience Indicesmentioning

confidence: 99%

Resilience-based optimal design of water distribution network

Suribabu

2017

Appl Water Sci

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Optimal design of water distribution network is generally aimed to minimize the capital cost of the investments on tanks, pipes, pumps, and other appurtenances. Minimizing the cost of pipes is usually considered as a prime objective as its proportion in capital cost of the water distribution system project is very high. However, minimizing the capital cost of the pipeline alone may result in economical network configuration, but it may not be a promising solution in terms of resilience point of view. Resilience of the water distribution network has been considered as one of the popular surrogate measures to address ability of network to withstand failure scenarios. To improve the resiliency of the network, the pipe network optimization can be performed with two objectives, namely minimizing the capital cost as first objective and maximizing resilience measure of the configuration as secondary objective. In the present work, these two objectives are combined as single objective and optimization problem is solved by differential evolution technique. The paper illustrates the procedure for normalizing the objective functions having distinct metrics. Two of the existing resilience indices and power efficiency are considered for optimal design of water distribution network. The proposed normalized objective function is found to be efficient under weighted method of handling multi-objective water distribution design problem. The numerical results of the design indicate the importance of sizing pipe telescopically along shortest path of flow to have enhanced resiliency indices.

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Section: Resilience Indicesmentioning

confidence: 99%

Resilience-based optimal design of water distribution network

Suribabu

2017

Appl Water Sci

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“…Data mismanagement can also affect the availability of data on unbilled authorized consumption, unauthorized consumption and metering errors (Kanakoudis et al , 2013, 2015a). A lack of data can lead to misassumptions when managing the WDN (González-Gómez et al , 2011; Rajasekhar et al , 2018; Saadr and Anuar, 2019; Saldarriaga et al , 2010). Furthermore, missing data also complicates water balance analysis, leads to network connection misassumptions and creates challenges in implementing NRW reduction strategies; for example, replacing and upgrading water pipes (Kanakoudis et al , 2013, 2015a; Liemberger et al , 2012).…”

Section: Resultsmentioning

confidence: 99%

Non-revenue water reduction strategies: a systematic review

Farouk

Rahman

Romali

2021

SASBE

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PurposeSustainability involves ensuring that sufficient resources are available for current and future generations. Non-revenue water (NRW) creates a barrier to sustainability through energy and water loss. However, a comprehensive overview of NRW reduction strategies is lacking. This study reviews the existing literature to identify available strategies for reducing NRW and its components and discusses their merits.Design/methodology/approachA systematic literature review was conducted to identify and analyze different strategies for reducing NRW. The initial search identified 158 articles, with 41 of these deemed suitably relevant following further examination. Finally, 14 NRW reduction strategies were identified from the selected articles.FindingsThe identified NRW reduction strategies were grouped into strategies for reducing (1) apparent losses (AL), (2) real losses (RL) and (3) water losses, with the latter involving the combination of AL and RL. The strategies adopted most frequently are “prevent water leakage” and “control water pressure.” In addition, water distribution network (WDN) rehabilitation has additional benefits over other RL reduction strategies, including saving water and energy, increasing hydraulic performance and enhancing reliability. Finally, utilizing decision support systems is the only strategy capable of reducing multiple NRW categories.Originality/valueThis review provides insights into the overall NRW problem and the strategies best equipped to address it. Authorities can use these findings to develop case-specific NRW reduction action plans that save water and energy, while providing other economic benefits. In addition, NRW reduction can improve WDN reliability.

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“…Water distribution systems are subject to deterioration over time, it is usually leads to problems like decreased capacity of water supply facilities, water loss, service disruption and lower water quality (Saldarriaga et al, 2010). To overcome pressure management problems and ensure continuous, efficient and economic operation of water distribution systems, an effective rehabilitation strategy is required.…”

Section: Introductionmentioning

confidence: 99%

Adaptation of multiple regression analysis to identify effective factors of water losses in water distribution systems

2019

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It is important to manage leaks in water distribution systems by smart water technologies. In order to reduce the water loss, researches on the main factors of water pipe network affecting non-revenue water (NRW) are being actively carried out. In recent years, research has been conducted to estimate NRW using statistical analysis techniques such as Artificial Neural Network (ANN) and Principle Component Analysis (PCA). Research on identifying factors that affect NRW in the target area is actively underway. In this study, Principle components selected through Multiple Regression Analysis are reclassified and applied to NRW estimation using PCA-ANN. The results show that the principal components estimated through PCA are connected to the NRW estimation using ANN. The detailed NRW estimation methodology presented through the study, as a result of simulating PCA-ANN after selecting statistically significant factors by MRA, forward method showed higher NRW estimation accuracy than other MRA methods.

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Prioritised rehabilitation of water distribution networks using dissipated power concept to reduce non-revenue water

Cited by 38 publications

References 25 publications

Resilience-based optimal design of water distribution network

Resilience-based optimal design of water distribution network

Non-revenue water reduction strategies: a systematic review

Adaptation of multiple regression analysis to identify effective factors of water losses in water distribution systems

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