Drivers like population growth, urbanization, and technology are changing cities and challenging transportation systems. Cities are aging with leaky water infrastructure losing up to 20% of supply, and energy blackouts affecting millions. Increased costs inhibit infrastructure upgrades. The document argues that instrumenting, interconnecting, and analyzing city systems through smart technologies can help optimize resources and infrastructure to build more sustainable cities. It provides examples of smart water management reducing leaks and energy usage, and an Olympic Peninsula project lowering customer bills and peak loads through renewable energy optimization.

1. IBM Italia S.p.A.
Come fondare la citta’ del futuro su solide
infrastrutture
Franco Prampolini
IBM Italia – Industry Solutions Director
Giugno 2012
© 2012 IBM Corporation

2. IBM Italia S.p.A.
Drivers of change
Exploding populations, urbanization, globalization and technology are
driving change.
This creates unique challenges and opportunities for transportation
providers.
2 billion / 7 billion 476 cities over 1 million
It took all of history for human In 2011 there are 476 urban areas with at
population to reach 2 billion, and only least 1 million people. That’s an increase of
one generation to more than triple to 573% from 1950 when there were 83. Over
nearly 7 billion. half the world’s population now lives in
urban areas.
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Aging infrastructure requires city action
Water Transport Energy
Municipalities lose as much A major traffic jam in China A blackout in the Northeast of
as 20% of their caused gridlock for 60 miles the US affected over 55
water through leaks. and lasted ten days million people.
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Increased revenue gaps inhibit action
Source: Research Brief on America’s Cities, National League of Cities, Sept, 2009 © 2012 IBM Corporation

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A mandate for change is a mandate for smart.
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INSTRUMENTED
We now have the ability to measure, sense
and see the exact condition of everything.
 Today, there are 1 billion transistors for each
person on the planet.
 In 2011, 30 billion RFID tags have been
embedded into our world and across entire
ecosystems.
Everything will become instrumented:
supply chains, healthcare networks,
cities and even natural systems like rivers.
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INTERCONNECTED
People, systems and objects can
communicate and interact with each
other in entirely new ways.
 The internet of people is 1 billion strong.
Almost one third of the world’s population will
be on the web by 2011.
 4% of Telco clients generates 70% of traffic
The Internet of Things — cars, appliances,
cameras, roadways, pipeline, pharmaceuticals
and even livestock—is headed to 1 trillion.
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INTELLIGENT
New computing models manage the
massive amounts of data generated by the
proliferation of end-user devices, sensors, and
actuators.
 Every day, 15 petabytes of new information are being
generated. This is 8x more than the information in all U.S.
libraries.
We can respond to changes quickly and accurately,
and get better results by predicting and optimizing
for future events.
 Using advanced analytics, we can generate new info by the
correlation of structured (i.e. data bases) and unstructured (i.e.
social networks) data
 Predictive Information can address dynamic process modelling
and adaptation
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+ + =
An opportunity to think and act in new ways—
economically, socially and technically.
“Less is more” (L. Mies van der Roher)
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Every natural system and man-made system
is becoming interconnected, instrumented and intelligent.
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Intelligent Water
Management
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What does it mean to become Smarter for a utility grid?
Measuring, Monitoring, Modeling and Managing
Sensing Metering
 Data collection
Incentives and actions to change behavior
Incentives and actions to change behavior
Feedback to user and data source;
Feedback to user and data source;
Real Time
Data Integration
 Data Integration
Real Time  Comparison of historical
+ Historical Data data, with newly collected
data
Data Modeling  Data modeling and analytics
to create insights from data
+ Analytics
to feed decision support and
actions
Visualization Source: IBM Corporate Strategy
+ Decisions
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Better information flow is critical for better water flow
The nature of water management must rapidly evolve
From Reactive To Predictive
Manual Data Collection Automated Sensing
Managing in Isolation Managing Collaboratively
Intermittent Measurement Real-Time Measurement
Multiple Data Sets Data Integration
“Guesstimation” Tools Modeled Decision Support
Commodity Pricing Value Pricing
Tactical Problem Solving Strategic Risk Management
“One barrier to better management of water resources is simply lack of data — where the water is, where it's going, how much is being
used and for what purposes, how much might be saved by doing things differently. In this way, the water problem is largely an
information problem. The information we can assemble has a huge bearing on how we cope with a world at peak water.”
Source: Wired Magazine, “Peak Water: Aquifers and Rivers Are Running Dry. How Three Regions Are Coping”, Matthew Power, April 21st, 2008
© 2012 IBM Corporation

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Statistical pipe burst/leakage prediction modeling
Countries invest 5-20% of the total energy to produce quality
water (from pumping to desalination) and water leakage due to
pipe bursting is a waste of water and energy. 15%-30% of water
is lost due to leakage and there is an average of 900 leakage
bursts per year in large cities
End User Value:
 Prediction of Pipe Burst/Leakage will help save
water and energy.
Utility value:
 Improved Maintenance
 Improves Customer Satisfaction
 Reduces Overall Maintenance Costs
 Reduces Operational Costs
 Can be used for all Pipe Solutions (Water, Oil, Gas,
etc.)
Results:
 Reduced leakage and energy demands results in a
lower cost solution for the supplier and customer.
14 IBM Confidential © 2012 IBM Corporation

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Smarter City Analytics – Smart Water: Influence consumption through insights,
incentives & engagement
Solution template that integrates: Data from Smart
water meter, Smart electric meter and Smart phone for
a comprehensive and holistic approach to water and
energy consumption in a city
End User Value:
 review consumption and understand trends
 get alerted about animalies and potential leaks
 compare consumptions with similar households
Utility and City value
 monitoring of aggregate consumptions
monitoring spatial and temporal anomalies/changes and locate
wastage
 demand forecasts and evaluate usage for pricing policies
 cross-silo services for better decision support and resource
optimizatimization
Results
 Well informed users can reduce consumption by 10-20% with
minimal impact on their comfort level
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Italia: Progetto WaterGrid
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Distribution of
energy from
renewable sources
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GridWise Olympic Peninsula Project
 Participants used web portal to record their temperature preferences. The utility used this
info to control the thermostats in the participants’ homes linking them to an optimize
exploitation of renewable energy availability
 Over 1 year 10% reduction in customer’s electric bills and 15% reduction in peak grid
loads
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Who is Involved in the Project?
 Utilities (15 sub-project locations, 8 sites in Washington):
– Avista Utilities (3 sites at Pullman, WA)
– Benton PUD (Kennewick, WA)
– City of Ellensburg (Ellensburg Renewable Energy Park, WA)
– Flathead Electric Coop., Inc. (Kalispell and Libby areas)
– Idaho Falls Power (2 sites in Idaho Falls, ID)
– Inland Power & Light (Airway Heights, WA)
– Lower Valley Energy (western WY)
– Milton-Freewater City Light & Power (Milton-Freewater, OR)
– NorthWestern Energy (Helena and Philipsburg area, MT)
– Peninsula Light & Power (Fox Island, WA)
– Portland General Electric (Salem, OR)
– Seattle City Light (University of Washington, Seattle campus)
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Italia: SmartGrid per la distribuzione di energia da fonti rinnovabili
“Urban Command Center”
per fornire alla PA le informazioni necessarie
ICT “Service Hub” per la pianificazione energetica
per raccolta ed elaborazione Energy Box e BEMs
informazioni energetiche per abilitazione Active Demand
Soluzioni ICT e sensoristiche per
gestione ottimizzata
Smart Grids distretto energetico
per ottimizzazione con Solar Cooling
flussi energetici
e RES
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Urban Command Center: IBM Intelligent Operations Center for Smarter
Cities
The Smart City model needs an integrated
view of all that City realities (energy, traffic,
health, security, etc.)
 Leverage information across all IBM Intelligent
Intelligent
Operations
Operations
city agencies and departments Center
Center
 Anticipate problems and minimize for Smarter Cities
the impact of disruptions
 Coordinate resources to respond
to issues rapidly and effectively
Sample Partner Ecosystem
Enables leaders to incorporate
third-party solutions
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Innovative leadership in Rio de Janeiro transformed city operations
 Initial focus - prevent deaths from
annual flooding
 Expanded to manage all emergency response
situations
 Analyzes weather, energy, building,
transportation, & water data in real-time
 Nationwide adoption in advance of Olympics
and World Cup
Increasing efficiency in resource deployment, expanding early warnings
to 48 hours, and coordinating all agencies in response
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Grazie per l’attenzione!
© 2012 IBM Corporation