Abstract

Water infrastructure plays a crucial role in delivering freshwater for survival and economic prosperity of communities. Regrettably, drinking water pipeline infrastructures in the US and many other developed and developing countries are in a deteriorated state becoming increasingly prone to leakages, which are estimated to be 20%. Although several sensor-based leakage-monitoring systems already have been developed to address this pressing challenge, the sustainability of such monitoring systems was never cross-checked, especially in the context of monitoring large-scale water-distribution systems. This paper thoroughly studies the life-cycle aspects of a vibration-based leak-detection technique, namely leak-detection index (LDI), accounting for its cost and energy consumption. The capabilities of this new technique have been demonstrated previously through an experimental campaign. In this paper, a follow-up sustainability evaluation is conducted after conceptual prototypes are developed for the real-world deployment of this new leakage-monitoring system. Batteries and solar panels are considered options for power supply. A representative water distribution network is used for estimating the life-cycle cost and energy consumption of leakage monitoring using the proposed prototypes. The sensitivity of cost and energy consumption to data sampling rate, data transmission rate, and sensor spacing are also evaluated in this study. The results presented in this paper will be of interest to researchers working on sensor-based monitoring systems for water infrastructures and to water utility managers.

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Acknowledgments

This research was supported by the National Science Foundation (NSF) under Grant No. 1539536. The views and conclusions contained in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the United States Government. The support of the NSF is greatly appreciated.

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Journal of Pipeline Systems Engineering and Practice
Volume 11Issue 1February 2020

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Received: Jul 19, 2018
Accepted: Apr 30, 2019
Published online: Nov 23, 2019
Published in print: Feb 1, 2020
Discussion open until: Apr 23, 2020

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Sepideh Yazdekhasti, Ph.D. [email protected]
Research Analyst, Xylem, 8920 MD-108, Columbia, MD 21045. Email: [email protected]
Kalyan R. Piratla, Ph.D., A.M.ASCE [email protected]
S. E. Liles, Jr. Distinguished Associate Professor, Glenn Dept. of Civil Engineering, Clemson Univ., Clemson, SC 29634 (corresponding author). Email: [email protected]
Jacob Sorber, Ph.D. [email protected]
Associate Professor, School of Computing, Clemson Univ., Clemson, SC 29634. Email: [email protected]
Sez Atamturktur, Ph.D., M.ASCE [email protected]
Harry and Arlene Schell Professor, Head of the Dept. of Architectural Engineering, Pennsylvania State Univ., State College, PA 16801. Email: [email protected]
Professor, Glenn Dept. of Civil Engineering, Clemson Univ., Clemson, SC 29634. ORCID: https://orcid.org/0000-0002-8406-6132. Email: [email protected]
Harshit Shukla, S.M.ASCE [email protected]
Doctoral Student, Glenn Dept. of Civil Engineering, Clemson Univ., Clemson, SC 29634. Email: [email protected]

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