The Minimum Night Flow Method Revisited

García, Vicente J. Serradell; Cabrera, Enrique

doi:10.1061/40941(247)35

Cited by 17 publications

(24 citation statements)

References 3 publications

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“…Numerous studies have used it for this purpose (Oliver, 2005;Cheung et al, 2010;Peters and Ben-Ephraim, 2012;Candelieri et al, 2013;Loureiro et al, 2016;García et al, 2008;Alkasseh et al, 2013), we cite only a few examples here. Although the period for MNF was defined differently for some of those studies, all were in the range of 00:00 to 05:00 daily.…”

Section: Metricsmentioning

confidence: 99%

Results from a water-saving maintenance campaign at Cape Town schools in the run-up to Day Zero

Booysen

Ripunda

Visser

2019

Sustainable Cities and Society

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Many South African schools struggle to maintain their water systems, particularly in the water-constrained Western Cape province, where the so-called "Day Zero" drought had intensified the urgency of saving water and increased the cost of supply. The problem is compounded by insufficient governmental funding, the lack of well-structured government policies, and a shortage of skilled maintenance staff at the schools. We evaluate the impact of a plumbing maintenance drive at 196 schools at the apex of the drought. Hypothesising that even the most basic maintenance could be a huge financial help to these schools, we gave plumbers a list of typical easy-gain repairs and restricted the budget to R5,000 per school, with some ad hoc exceptions. We then analysed the cost and benefit of these repairs, using data on the minimum night flow as recorded by smart water meters. We found an average of 28% reduction in MNF within five days of the reported maintenance date. The once-off R1,22 million spent on the 196 schools resulted in a monthly saving of R1,90 million-a saving that the schools could put to academic purposes.

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Section: Metricsmentioning

confidence: 99%

Results from a water-saving maintenance campaign at Cape Town schools in the run-up to Day Zero

Booysen

Ripunda

Visser

2019

Sustainable Cities and Society

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“…The event of leakage detection is transmitted to the network manager using various networking technologies; M2M commercial devices such as the Primayer Phocus.SMS 1 deliver an SMS over the cellular network. The alarm can 1 Online resources available at: http://www.primayer.co.uk/…”

Section: Leakage Detection In Pipelinesmentioning

confidence: 99%

“…The current practice to detect the leakages is to measure the Minimum Night flow (MNF) [1]. Since the demand is typically negligible at that time, the water consumed during night hours provides an upper bound to the leakages in a certain district.…”

Section: Introductionmentioning

confidence: 99%

Leakage detection in waterpipes networks using acoustic sensors and identifying codes

Pellegrini

Riggio

2013

2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

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In future smart cities a grand challenge will be to sensorize large urban infrastructures at a feasible cost. In this paper we tackle the case of efficient leakage detection in water distribution systems. Deploying leakage detectors can cut operational costs for water utility providers. But, the cost for deploying them with sufficient granularity poses an high entrance barrier due to the scale of such infrastructures. We propose an algorithmic framework to efficiently deploy sensors in order to perform leakage/fault localization over large scale lattice-shaped networks. The novelty of our solution, combining covering sets and identifying codes is that it initially covers the network with low resolution, and thus fewer sensors. The set of sensors can then be extended in a way to progressively improve the resolution by which leakages are located. The proposed solution is validated through extensive numerical experiments.

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“…Furthermore, effectiveness of MNF analysis in detecting leakages (Covas et al [9], Garcia et al [10]) resulted substantially higher for sectorized water distribution networks (Behzadian et al [11], Izquierdo et al [12]). Sectorization consists of defining sections of the network, usually known as District Metering Areas (DMA), easier to be monitored and controlled.…”

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confidence: 99%

Improving leakage management in urban water distribution networks through data analytics and hydraulic simulation

Candelieri

Archetti

Messina

2013

Water Resources Management VII

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Worldwide, water utilities are finding it increasingly difficult to meet the growing water demand. The problem, already acute in view of the urbanization trends, is compounded by the age of the infrastructure: one third of water utilities have 20% or more of their pipelines nearing the end of their useful life. This paper outlines an innovative approach for improving leakage management processes through the adoption of data analytics techniques and hydraulic simulation. More in detail, the aim is to provide analytical leaks localization and correspondent severity estimation in order to reduce time and costs for interventions and rehabilitation while improving asset management. The technical solution has been developed as a set of web services able to interoperate with other technological systems usually adopted by urban water distribution utilities, such as Supervisory Control And Data Acquisition (SCADA) system, Customer Information System (CIS), Geographical Information System (GIS) and Hydraulic Simulation tools. This paper presents some results obtained by the application of the approach to a real case study and also proves how its effectiveness may be improved in a sectorized water distribution network.

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The Minimum Night Flow Method Revisited

Cited by 17 publications

References 3 publications

Results from a water-saving maintenance campaign at Cape Town schools in the run-up to Day Zero

Results from a water-saving maintenance campaign at Cape Town schools in the run-up to Day Zero

Leakage detection in waterpipes networks using acoustic sensors and identifying codes

Improving leakage management in urban water distribution networks through data analytics and hydraulic simulation

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