An experimental analysis on accuracy of customer water meters under various flow rates and water pressures

Karadirek, I. Ethem

doi:10.2166/aqua.2019.031

Cited by 19 publications

(6 citation statements)

References 11 publications

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“…The results revealed that the proposed method requires less computational time compared to the soccer league competition (SLC) algorithm. Karadirek [12] analyzed customer water meter accuracy under various water pressures and flow rates that might exist in the water distribution networks. The results revealed that water pressure has no effect on higher flow rates and causes customer water meter inaccuracies in lower flow rates.…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Network Reconstruction Algorithm to Compute Maximum Flow for Water Supply Network: A Case Study of the City of Bulawayo, Zimbabwe

Tawanda,

Kumar,

Munapo

et al. 2024

Contemp. Math.

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Determining the maximum flow value in Water Supply Networks (WSN) is a common problem that is being faced by many cities during and after designing of WSN. In this article, the network reconstruction (NR) algorithm is applied to compute the maximum flow value for the city’s WSN based on the actual data. The city of Bulawayo has been selected for the following reasons, availability of research data, the city is facing severe water shedding and several studies have focused only on other issues such as alternative water sources, leakage detection and demand forecasting. The goal of this study is to determine the maximum flow value from the sources to the reservoirs. The results have revealed that the computed maximum flow value is within the estimated range of 110,000 cubic meters to 190,000 cubic meters. Dam sensitivity analysis were considered to determine the sources to give maintenance priority before the rain season. Several recommendations were suggested to improve the water supply situation.

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Section: Literature Reviewmentioning

confidence: 99%

Application of Network Reconstruction Algorithm to Compute Maximum Flow for Water Supply Network: A Case Study of the City of Bulawayo, Zimbabwe

Tawanda,

Kumar,

Munapo

et al. 2024

Contemp. Math.

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“…The main challenge for using mechanical meters is to accurately measure individual water withdrawals. The accuracy is affected by many factors, including meter wear and tear, blockage of the meter inlet or strainer, depositions on the meter components, incorrect sizing, incorrect mounting position, the filling process of an empty pipe [4], generation of cavitation [5], and incorrect flow profile [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

“…The main factor affecting the intake spectrum is the water consumption habits of the customers and it is the main unknown of all [18]. The flow rate that passes through a meter is the governing factor of the meter accuracy [7]. For a specific meter, its metering error would be different with different intake behaviors (Fig.…”

Section: Introductionmentioning

confidence: 99%

Estimate measurement errors of household water meters using a large amount of on-site data feedback

Chen

Kuo

et al. 2023

Sustain Environ Res

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Water meter measurement error is considered as one important component of non-revenue water by International Water Association. Its magnitude depends combinedly on users’ consumption behaviors (intake spectrum) and metrological characteristics of water meters (meter error curve). Most published researches have only analyzed the meter error curves without taking the users’ consumption behaviors into consideration. This study developed a practical approach by using the relative difference chart of master-meters and sub-meters groupings (i.e., RM-μz chart) to identify average metering errors for a major water utility company in Taiwan. About 120,000 sets of “master-meter and sub-meter grouping” data of Taipei Water Department were analyzed. The approach successfully estimated average metering errors of its 99.6% domestic meters (around 1.6 million water meters), the results are 9.9, 6.1, and 10.0% less than the actual water consumption recorded by the sub-meters, master-meters, and direct-meters, respectively.

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“…Previous studies on muddy water pipeline irrigation mainly included the non-depositing critical velocity [10,11], solid-water mixture flow head losses [12] and anti-clogging technology [13]. The research on pipeline metering devices mainly includes the influence of water pressure [14], temperature [15,16], velocity distribution [16] and other factors on the metering device. Some researchers have also carried out theoretical analysis on one of the metering devices of muddy water pipelines [17,18].…”

Section: Introductionmentioning

confidence: 99%

Accuracy and Reliability Analysis of Pipe Irrigation Metering Device for Sandy Water Source

Jiao

Jiang

et al. 2021

Water

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Sandy water sources are widely distributed and are important for agricultural development. However, no explicit result has been achieved in the research of the accuracy and reliability of pipeline metering devices as well as flow rate measurement objects (water or water–sand) of different metering devices in the process of pipelines conveying muddy water. In this study, seven kinds of sediment concentration gradients, C0–C6 (0.2–7.19%), and three different flow velocities (1.0 m/s, 1.25 m/s, 1.5 m/s) were set up, and a comparison measuring method was used to compare the flow values of three kinds of metering device (electromagnetic flowmeter, ultrasonic flowmeter and water meter) with a right triangle weir. The accuracy and reliability of the metering device were obtained by analyzing the change law of the relative error between each metering device and the right triangle weir under different flow velocities and different sediment concentrations, and the flow rate measurement objects of each metering device were finally clarified. The relative error between the electromagnetic flowmeter and right triangle weir decreased gradually with the increase in the flow velocity when the sediment concentration was constant. The maximum difference of the relative error between the electromagnetic flowmeter and the right triangle weir was 2.53% when the flow velocity was constant. Additionally, the minimum differences of the relative errors of the ultrasonic flowmeter and water meter were 2.67% and 6.90%, respectively. The measured flow law of the electromagnetic flowmeter was more in line with the measured flow law of the water–sand mixture measured by the right triangle weir. However, the relative errors of water and water–sand measured by the ultrasonic flowmeter and water meter fluctuate greatly, which does not accord with the law of muddy water measured by the right triangle weir. The results showed that the electromagnetic flowmeter has the best reliability among the three metering devices, and the accuracy can be improved by calibration before use or increasing the flow velocity of the pipe network. Under the sand grading used in this study, the electromagnetic flowmeter was recommended to measure the flow rate of pipe irrigation for sandy water sources in this paper.

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An experimental analysis on accuracy of customer water meters under various flow rates and water pressures

Cited by 19 publications

References 11 publications

Application of Network Reconstruction Algorithm to Compute Maximum Flow for Water Supply Network: A Case Study of the City of Bulawayo, Zimbabwe

Application of Network Reconstruction Algorithm to Compute Maximum Flow for Water Supply Network: A Case Study of the City of Bulawayo, Zimbabwe

Estimate measurement errors of household water meters using a large amount of on-site data feedback

Accuracy and Reliability Analysis of Pipe Irrigation Metering Device for Sandy Water Source

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