Taking water efficiency to the next level: digital tools to reduce non-revenue water
Author(s) -
Joana Cassidy,
B. Barbosa,
M. Damião,
P. Ramalho,
A. Ganhão,
A. Santos,
J. Feliciano
Publication year - 2020
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2020.072
Subject(s) - metering mode , reliability (semiconductor) , computer science , revenue , water quality , non revenue water , reduction (mathematics) , warning system , reliability engineering , water conservation , water resources , engineering , telecommunications , business , mechanical engineering , ecology , power (physics) , physics , geometry , mathematics , accounting , quantum mechanics , biology
Efficiency optimization of urban water systems is a growing concern for water utilities worldwide. This case study aimed at evaluating the impact of using cloud-based tools on the reduction of both real (real-time network monitoring) and apparent water losses (integrated customer meters management) in two water utilities. The incorporation of smart water solutions with a methodology for the management and operation of the systems allowed us to diagnose, prioritize areas and define actions to improve efficiency. Using a real-time monitoring tool allowed us to categorize bursts and to evaluate their impact on water loss volumes and to identify operational inefficiencies regarding detection and repair times, particularly in small and medium bursts. Additionally, the implementation of an integrated customer meters management tool allowed for an optimized meter management reducing apparent losses by estimating metering errors more accurately, enabling the water utilities to replace meters based on specific lifespan. Digitalization, through the implementation of optimized algorithms and early warning systems, allowed the analysis of data in a methodical and prompt manner resulting in non-revenue water reduction up to 8% in 3 years while improving the digital organization of data and its quality (reliability and accuracy), interdepartmental organization and communication, capacity building and utilities’ image among stakeholders.
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