ID:
publications-3925
Type:
article
Year:
2022
Authors:
DiCarlo, Morgan and DiCarlo, Morgan Faye and Berglund, Emily Zechman and Berglund, Emily Zechman
Title:
Using Advanced Metering Infrastructure Data to Evaluate Consumer Compliance with Water Advisories during a Water Service Interruption
Venue/Journal:
Water Research
DOI:
10.1016/j.watres.2022.118802
Research type:
Water System:
Technical Focus:
Abstract:
- A large smart water meter dataset with more than 16,000 meters is analyzed. - Explores compliance to utility advisories during a water service interruption. - Methods determine the percent compliance and volume of water saved by consumers. - Less than a third of meters compiled to advisories to reduce water use. Water main breaks disrupt services provided by utilities and result in Water Service Interruptions (WSIs). Water utilities can manage WSIs through water advisories, which request that consumers limit their water use. The performance of water advisories depends on consumer compliance and decisions to conserve water. This research explores customer compliance with water advisories using water consumption data collected through Advanced Metering Infrastructure (AMI). AMI provides high temporal and spatial resolution of water consumption data, which is analyzed to identify changes in water use behaviors. This research explores water use changes during a major water main break in Orange County, North Carolina, that caused a significant WSI, limiting water supply for more than 80,000 people. Customers were asked to reduce water use to essential purposes only and to boil water over the course of two days in November 2018. This research analyzes hourly consumption data to evaluate water consumption trends during the WSI and in response to water advisories. Statistical analysis is used to estimate the number of consumers who complied with utility notifications and to evaluate the volume of water saved. Regression analysis is applied to explore compliance across different user segments. Results provide insight about the level and variation of water conservation that can be expected during a WSI.
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