A novel method for evaluating and establishing benchmarks for non-revenue water through performance indicators (NRWPI)

Abstract In the realm of water resource management, the complex relationship between Non-Revenue Water (NRW) and Key Performance Indicators (KPIs) is a vital task for water resources management experts. KPIs serve as vital metrics for evaluating water utility efficiency, while NRW presents a substantial challenge, especially in water-scarce regions. This study emphasises the need to move beyond simplistic percentage-based NRW indicators, advocating for a more comprehensive approach that includes various performance indicators. The study aims to build a model to evaluate and quantify NRW based on selected performance indicators, supporting utilities in their pursuit of improved water loss management. The article explains how to collect, assess, classify, and select NRWPIs using the IWA framework. It then standardised these selected NRWPIs to cubic meters per year to enable fair comparisons. A comprehensive classification system based on value ranges aids in assessing performance. It provided an implementation plan, along with a monitoring and evaluation plan. The methodology includes collecting, assessing, classifying, and selecting data for a strong NRWPI model necessary for creating strategies to reduce water loss. The article highlights critical areas such as failures in water distribution pipelines, issues related to governmental and municipal services, utility premises, water mains pipelines, customer meter readings, and meter errors. These insights are used to construct a detailed action plan targeting these areas, with specific activities, timelines, and responsible bodies identified. In conclusion, this innovative approach NRWPIs, coupled with the strategic action plan and monitoring and evaluation framework, to drive substantial improvements in NRW reduction. Collaborative efforts among various departments and vigilant tracking of progress aim to optimize water distribution systems, reduce water losses, and enhance operational efficiency for sustainable water management.