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Taking water efficiency to the next level: digital tools to reduce non-revenue water
Journal of Hydroinformatics ( IF 2.7 ) Pub Date : 2021-05-01 , DOI: 10.2166/hydro.2020.072
J. Cassidy 1 , B. Barbosa 1 , M. Damião 1 , P. Ramalho 1 , A. Ganhão 1 , A. Santos 1 , J. Feliciano 1
Affiliation  

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.



中文翻译:

将用水效率提升到新水平:减少非收入水的数字工具

城市供水系统的效率优化已成为全球水务公司日益关注的问题。本案例研究旨在评估使用基于云的工具对减少两个自来水公司的实时(实时网络监控)和表观水损失(集成的用户水表管理)的影响。将智能水解决方案与用于系统管理和运行的方法相结合,使我们能够诊断,确定区域优先次序并确定提高效率的措施。使用实时监控工具,我们可以对爆裂进行分类并评估其对失水量的影响,并确定有关检测和维修时间的操作效率低下,特别是在中小爆破中。此外,集成的客户水表管理工具的实施实现了优化的水表管理,可通过更准确地估计水表计量误差来减少表观损失,从而使水务公司能够根据特定的使用寿命来更换水表。通过实施优化算法和预警系统进行数字化,能够有条不紊,及时地进行数据分析,从而在3年内将非收入用水量减少了8%,同时改善了数据的数字化组织及其质量(可靠性)。和准确性),部门间的组织和沟通,能力建设和公用事业在利益相关者之间的形象。

更新日期:2021-05-26
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