scholarly journals An investigation of smart water meter adoption factors at universities

2022 ◽  
Vol 196 ◽  
pp. 324-331
Author(s):  
Mogamad Nieyaaz Adams ◽  
Osden Jokonya
Keyword(s):  
Adoption Factors ◽  
Smart Water ◽  
Water Meter

Design of hydro electromagnetic and piezoelectric energy harvesters for a smart water meter system

2017 ◽  
Vol 261 ◽  
pp. 261-267 ◽  
Author(s):  
Jae Yong Cho ◽  
Jae Youn Choi ◽  
Sin Woo Jeong ◽  
Jung Hwan Ahn ◽  
Won Seop Hwang ◽  
...  
Keyword(s):  
Energy Harvesters ◽  
Smart Water ◽  
Piezoelectric Energy ◽  
Water Meter

scholarly journals Smart water meter for automatic meter reading

2022 ◽  
Vol 1212 (1) ◽  
pp. 012042
Author(s):  
A Amir ◽  
R Fauzi ◽  
Y Arifin
Keyword(s):  
Water Consumption ◽  
Smart City ◽  
Clean Water ◽  
Smart Meter ◽  
Maximum Difference ◽  
Smart Water ◽  
Consumption Data ◽  
Water Meters ◽  
Water Metering ◽  
Water Meter

Abstract Clean water is one of the main sectors in smart city that need well management. One of the clean water management is utilization of water meters. The smart meter is more suitable applied for smart city. Recent Smart Water Meter allows water authorities to obtain water consumption data remotely. It also provides ability to collect and record the data in real time that can be utilised for multipurpose. However, in Indonesia, the water meters are used only to measure the total volume of clean water consumption for billing purpose only using mechanical water meter and requires labour intensive manual. Currently, many researches on smart meter design have been developed. However, the smart meter only measure and record the water consumption, without ability in which customer can determine the amount of water as needed. This paper describes design and development of smart water metering with Internet of Things. Flow meter is used as a sensor of water flowing through the pipe. The ability of the proposed smart meter is not only to measure and to record the volume water consumed, but also the customer can determine the water desired and required. The volume of water measured by the smart meter is compared with the manual measurement. The result shows that the water measured manually differs slightly from smart meter measurement using water flow sensor. The maximum difference, error, is 0.03 litres. The proposed smart meter has ability to close the main valve once the determined amount of water is reached.

scholarly journals An Efficient IoT-based Smart Water Meter System of Smart City Environment

2021 ◽  
Vol 12 (8) ◽  
Author(s):  
Raad AL-Madhrahi ◽  
Nayef.A.M. Alduais ◽  
Jiwa Abdullah ◽  
Hairulnizam B. Mahdin ◽  
Abdul-Malik H. Y. Saad ◽  
...  
Keyword(s):  
Smart City ◽  
City Environment ◽  
Smart Water ◽  
Water Meter

scholarly journals Dynamic Time Warping Clustering to Discover Socioeconomic Characteristics in Smart Water Meter Data

2021 ◽  
Vol 147 (6) ◽  
Author(s):  
D. B. Steffelbauer ◽  
E. J. M. Blokker ◽  
S. G. Buchberger ◽  
A. Knobbe ◽  
E. Abraham
Keyword(s):  
Dynamic Time Warping ◽  
Time Warping ◽  
Socioeconomic Characteristics ◽  
Smart Water ◽  
Dynamic Time ◽  
Water Meter

Quantifying the Mismatch in Smart Water Meter Readings in Muscat Water Distribution Network (DIAM) – Case of Oman

2021 ◽  
Vol 8 (4) ◽  
pp. 230-260
Author(s):  
Maria Teresa Matriano
Keyword(s):  
Middle East ◽  
Focus Group ◽  
Water Consumption ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Smart Meters ◽  
Graduate Studies ◽  
Smart Water ◽  
Water Meter

Quantifying the Mismatch in Smart Water Meter Readings in Muscat Water Distribution Network (DIAM) – Case of Oman   Ibrahim Nasser Khalifa Al-Mamari* *MBA, Middle East College Email: [email protected] Dr. Maria Teresa Matriano  Faculty/Assistant Professor, Department of Post-Graduate Studies, Middle East College, Oman Email: [email protected]   Abstract Purpose:- The study is intended to focus on quantifying the mismatch between the consumption data collected on the project site to the estimated reading generated by the system. The mismatch quantification process involves formulating a theoretical mathematical modelling using Bernoulli’s equation that will help in reducing the conflicts in mismatch of data between the actual and estimated water consumption readings.    Design / methodology / approach:- The study revolves around basic survey of different journals and articles which relates closely to the topic.There’s application of qualitative method in which the results depend on the opinion of the focus group participants. Findings:- Based on survey results and flow calculations,  the flow was compared with the actual discharge measured from the smart meters; mismatch was ensured in the actual discharge at transmission and the discharge at the distribution line at each consumer location.  The opinion of the focus group suggests to upgrade the existing system in Diam. Research limitation / Implications:- A recognizable mismatch was made that influences Diam to create estimated charging. A viable computerized water spillage checking system was consolidated to recognize and annihilate the mismatch.The are recommendations to minimize the estimation system in billing at the water supplier end; and the inclusion of a new technology to quantify the mismatch in the existing system. A SCADA based system to localize the flaw point; and the inclusion of big data analysis in the bill generation software should be implemented. Originality / value:-  There are no previous studies on mismatch quantification process in Oman, and this study would propose a system that would be helpful in finding the causes of mismatch and eradicating them. Keywords:     Diam, Distribution Network, Smart Meters, Estimated Reading, Water Consumption                    Mismatch, Numerical Modeling

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