Smart Water Symposium

Oral

396214 - Modeling demand variation among consumers using smart metered data

Monday, June 4
4:00 PM - 5:30 PM
Location: Lakeshore A

The advent of smart metering, or Advanced Metering Infrastructure (AMI) for water systems will generate large datasets about water demands that can provide new insight about consumer behaviors for managing water resources and infrastructure. More accurate estimates of consumption patterns and expectations of variations can be used for planning water supply and expanding infrastructure for new development. In this research, we explore water demand data collected at hourly intervals for a set of residential customers in Cary, North Carolina. We merge this data with cadastral data from parcel records and satellite images to derive parcel characteristics such as lot size, pervious surface, and pools. Regression models are developed to explore the influence of house size, lot size, and land use characteristics on variation in water demands. A second set of regression models are developed to explore the influence of these independent variables on seasonal changes in water demands. Demand models are applied to project demand for all consumers served by the water distribution network for alternative urban development scenarios. Results demonstrate the utility of applying analytic approaches and predictive models using large data sets available through smart meters.

Send Email for Jorge Pesantez

Send Email for Emily Berglund

Nikhil Kaza

University of North Carolina

Presentation(s):

Send Email for Nikhil Kaza


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