A growing number of water utilities are implementing advanced metering infrastructure (AMI) to capture detailed, high-volume information from customer meters. With this expanded water usage information, utilities can better respond to customer billing questions, enforce policies for water usage and conservation, and better quantify and ultimately reduce the level of non-revenue water in their distribution systems. To realize these potential benefits, utilities need to clearly understand the improvement opportunities enabled by the AMI data, and also understand the need for new data processing and analysis tools.
This project will investigate how AMI data can be used for maximum utility benefit. The research team will identify the strategies for AMI data analyses and provide case studies of utilities to demonstrate the value of using AMI data. The research will result in a meter performance index, which will allow utilities with AMI data to define their meter maintenance and replacement strategies based on actual meter performance.
Tailored Collaboration Partners: Toronto Water, DC Water, Albuquerque Bernalillo County Water Authority, City of Baltimore, Great Lakes Water Authority, and Suez Water.
An article focused on this research was published in the June 2018 issue of Journal AWWA and is posted below under Project Papers.