Planning & Management

Oral

394246 - Use of High Resolution Water Demand Data in Assessing Conservation Strategies

Monday, June 4
4:00 PM - 5:30 PM
Location: Greenway GH

Despite domestic water demands small proportion of total fresh water consumption (less than 15% of national freshwater withdrawals), meeting future demands will become increasingly difficult in some urban areas, especially in times of drought, as urban populations rapidly grow and competing sectors vie for limited water resources. Metropolitan areas continue to expand and attract larger populations, a phenomenon described as a movement toward urbanity (Nelson 2009).
A tool that could provide demand side management strategies is near real-time metering. Over the last decade, many utilities have implemented smart metering, systems that can read household water consumption down to tenths of gallons in hourly increments. Through understanding existing water patterns and tying the patterns to demographics and fixture types present within a household, a utility could make accurate estimates how many inefficient fixtures are in their customer base, whether a customer is experiencing high usage due to a leak, or even the flow rate of an individual fixture. There has been little application of what we will term ‘water patterning’, the idea of examining high resolution data of individual households and either targeting those households for structural changes (conservation rebates or complete fixture replacements), or influencing behavioral changes.
This research uses hourly water demand data from over 1000 residences in Platteville WI to investigate whether there are opportunities for demand side management through targeted conservation efforts and development of water pattern types.

Austin Stanley Polebitski


University of Wisconsin Platteville

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