Use of AMI for Water to Enable Water Efficiency Initiatives Increasing the Knowledge Efficiency of Utilities Jason Bethke
For a species that prides itself on scientific discovery, we know startlingly little about the resource that is most crucial to our survival: water.
Source: Water – A Global Innovation Outlook Report, IBM, 24 March 2009
The Need for Data
“A key to improving efficiency is understanding where, when, and why we use water.” Source: P. Gleick, Roadmap for sustainable water resources in southwestern North America, PNAS, 14 Dec 2010
Knowledge Drivers • Increased awareness of water scarcity, requiring real‐time knowledge of the source, distribution and use of all water. • Increased pressure on municipal finances, requiring maximum efficiencies to be developed. • Increased awareness of price signals and consumer impact requiring the provision of information in order that consumers understand the reasoning and impact of price increases. • The understanding that data can dramatically improve maintenance of systems, emergency response and public health.
Utility Data Systems [Utilities] no longer look at AMI as just faster meter reading; they want a network that provides the ability to tie in all these CIS components. From water coming into the utility, to customer delivery, distribution lines, measurements at customer sites, and then allowing access to that data so the consumer becomes more intelligent on their consumption.
CMMS Analytics
SCADA
GIS Source: Ed Ritchie,” A New Paradigm ‐ Demand forecasting and the art of resource management”, Water Efficiency, November – December 2010
Smart Grid for Water Utility Information
CIS
CMMS Analytics
Data
Consumers SCADA GIS
Using Knowledge [A]s we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns – the ones we don't know we don't know.
Source: Donald Rumsfeld, former US Secretary of Defense, 12 February 2002
The Smart Grid for Water is about Analysis • Generating knowledge from data – to capture every drop of revenue, – to maximize the efficiency of utility operations, – to provide the basis for real‐time conservation, and – to improve the utility experience for our consumers.
Stop Revenue Leaks
Operational Efficiency • Decreased labor expenses for meter reading and management • Finding water loss/water theft • Development of power optimization for water distribution • Understanding real time Peak and Average demand for capacity analyses
Operational Efficiency (cont.) • Efficient regulatory bylaw enforcement (e.g. water restrictions) • Allowing for the integration of ancillary devices for increased efficiency: – Pressure sensors for outage monitoring – Pressure sensors for power efficiency (e.g. reducing pressure to reduce power) – Acoustic leak detectors for leak control – Smart irrigation controllers to better utilize outdoor water use. – Real‐time hydraulic flow modeling validation
Real Time Conservation Real conservation requires: • Data • Information • Education
Information = Conservation • How do I fare compared to my street, my neighborhood, my city. • How much water do I use? • How much water should I use? • Based on weather data and evapotranspiration calculations – how much should I have used outside? Source: AquaSpy
Improving the Consumer Experience
“Consumers want highly personalized information and they want it at any time on any device – Web, TV, print, smart phone.” Source: Jesse Berst, “The six things utilities still don't get about consumers (but better learn fast!)”, Smart Grid News, Apr 5, 2011
“Truly sustainable water management and use requires efficiency, smart economics, advanced technology and better governance and water management.”
Source: Dr. Peter Gleick, “The Real Cost of Water We Use”, presented at the Stanford Graduate School of Business, 9 Feb 2010