“…Moreover, and due to their technical complexity, there is a small probability that a critical component of an in-service meter fails without any apparent cause [33]. Obviously, the causes of failures in water meters are diverse and vary depending on several factors like age, totalized volume, working principle and design of the meter, the occurrence of pressure transients, maximum consumption flow rates, water quality, etc.…”
Section: Worst Case (%) Best Case (%)mentioning
confidence: 99%
“…However, one more element is needed to perform that analysis-the cost of the water loss volumes. Conversely, to what is considered in real losses, the utility cost of one cubic meter of apparent losses is not the cost of producing it, but the amount a customer would have paid for it if it had been measured by the water meter [24,33]. This applies to both apparent losses caused by meter inaccuracies and illegal uses.…”
Section: Calculation Of Economic Level Of Apparent Lossesmentioning
confidence: 99%
“…It measures how far the economic level is from the unavoidable level of losses. ALEPI = ELAL I I AAL (33) Finally, all three indicators defined above can be related as…”
The manuscript describes a simplified methodology with which to assess the economic level of apparent losses (ELAL) in a water utility. This economic point corresponds to the break-even point for which the marginal benefit of increasing the frequency of the apparent losses’ reduction activities equalizes the marginal cost of their implementation. For this calculation, each apparent loss component, as defined by the International Water Association, has been subdivided into two additional categories. These categories have been established depending on how periodic activities conducted by the water utility to reduce apparent losses—namely water meter replacement and customers’ connection inspections—may affect their magnitude. It has been found that the ELAL is influenced by intervention costs, the degradation rate of the accuracy of water meters and water tariffs. In addition, this work defines a set of performance indicators to benchmark the apparent loss’s performance relative to the minimum achievable and optimum levels of the losses. Finally, two case studies on how the proposed calculation should be applied have been added to the appendices.
“…Moreover, and due to their technical complexity, there is a small probability that a critical component of an in-service meter fails without any apparent cause [33]. Obviously, the causes of failures in water meters are diverse and vary depending on several factors like age, totalized volume, working principle and design of the meter, the occurrence of pressure transients, maximum consumption flow rates, water quality, etc.…”
Section: Worst Case (%) Best Case (%)mentioning
confidence: 99%
“…However, one more element is needed to perform that analysis-the cost of the water loss volumes. Conversely, to what is considered in real losses, the utility cost of one cubic meter of apparent losses is not the cost of producing it, but the amount a customer would have paid for it if it had been measured by the water meter [24,33]. This applies to both apparent losses caused by meter inaccuracies and illegal uses.…”
Section: Calculation Of Economic Level Of Apparent Lossesmentioning
confidence: 99%
“…It measures how far the economic level is from the unavoidable level of losses. ALEPI = ELAL I I AAL (33) Finally, all three indicators defined above can be related as…”
The manuscript describes a simplified methodology with which to assess the economic level of apparent losses (ELAL) in a water utility. This economic point corresponds to the break-even point for which the marginal benefit of increasing the frequency of the apparent losses’ reduction activities equalizes the marginal cost of their implementation. For this calculation, each apparent loss component, as defined by the International Water Association, has been subdivided into two additional categories. These categories have been established depending on how periodic activities conducted by the water utility to reduce apparent losses—namely water meter replacement and customers’ connection inspections—may affect their magnitude. It has been found that the ELAL is influenced by intervention costs, the degradation rate of the accuracy of water meters and water tariffs. In addition, this work defines a set of performance indicators to benchmark the apparent loss’s performance relative to the minimum achievable and optimum levels of the losses. Finally, two case studies on how the proposed calculation should be applied have been added to the appendices.
“…While volumetric meters such as the oscillating piston and nutating disc are sensitive to water quality and suspended particles, velocity meters such as single and multiple jet meters are more sensitive to low flows and drag torque on the sensor element. There are ample studies on the field performance of the meter (Arregui et al 2006a;Arregui et al 2018b;Arregui et al 2006b;Couvelis and Van Zyl 2015;Mantilla-Peña et al 2018;Moahloli et al 2019;Mutikanga et al 2011a;Ncube and Taigbenu 2019;Stoker et al 2012;Walter et al 2018;Yazdandoost and Izadi 2018). The inaccuracy level of the used meters depends on the metrological performance of the meter at each flow rate.…”
This research was conducted under the auspices of the Graduate School for Socio-Economic and Natural Sciences of the Environment (SENSE)CRC Press/Balkema is an imprint of the Taylor & Francis Group, an informa business
“…The new devices are most often installed after a certain time or after measuring a given volume of water. Increasingly both these factors are taken into account together, as well as other parameters, e.g., water pressure at which the water meter works, the risk of occurrence of damage or consideration of the life cycle cost (LCC) [10][11][12].…”
The basis for the designing of water supply devices is knowledge of the distribution of water demand. The only practical tool that utility companies can use to measure water consumption is water meters. The literature part of the article compares the guidelines for the devices contained in the following directives: EEC (European Economic Community-withdrawn) and Measuring Instruments Directive-MID (applicable at present). The methodology of selecting water meters in accordance with previous and current regulations was also presented. The main purpose of this work was to determine the structure of water demand for selected building objects. Differences between real and literature values of water flows and water demand were determined. It was found that the average consumption in the analyzed buildings was higher then the consumption in Polish Regulation and in the town of Dabrowa Gornicza. The highest level of demand was in the buildings, which were equipped with automatic watering systems. The maximum momentary volumetric flows are also shown. Based on the obtained data, the accuracy of the water meters selection was checked. The calculated daily and hourly peak factors were compared with the values from the literature. The analysis was performed based on current legal acts, technical literature and data obtained from Dabrowskie Wodociagi Sp. z o.o. in Dabrowa Gornicza, Poland.
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