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  1. 1. IBM Italia S.p.A.Come fondare la citta’ del futuro su solideinfrastruttureFranco PrampoliniIBM Italia – Industry Solutions DirectorGiugno 2012 © 2012 IBM Corporation
  2. 2. IBM Italia S.p.A.Drivers of changeExploding populations, urbanization, globalization and technology aredriving change.This creates unique challenges and opportunities for transportationproviders.2 billion / 7 billion 476 cities over 1 millionIt took all of history for human In 2011 there are 476 urban areas with atpopulation to reach 2 billion, and only least 1 million people. That’s an increase ofone generation to more than triple to 573% from 1950 when there were 83. Overnearly 7 billion. half the world’s population now lives in urban areas.2 © 2012 IBM Corporation
  3. 3. IBM Italia S.p.A.Aging infrastructure requires city action Water Transport EnergyMunicipalities 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. © 2012 IBM Corporation
  4. 4. IBM Italia S.p.A. Increased revenue gaps inhibit actionSource: Research Brief on America’s Cities, National League of Cities, Sept, 2009 © 2012 IBM Corporation
  5. 5. IBM Italia S.p.A.A mandate for change is a mandate for smart. © 2012 IBM Corporation
  6. 6. IBM Italia S.p.A. 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. © 2012 IBM Corporation
  7. 7. IBM Italia S.p.A. 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. © 2012 IBM Corporation
  8. 8. IBM Italia S.p.A. 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 © 2012 IBM Corporation
  9. 9. IBM Italia S.p.A. + + = An opportunity to think and act in new ways— economically, socially and technically. “Less is more” (L. Mies van der Roher) © 2012 IBM Corporation
  10. 10. IBM Italia S.p.A. Every natural system and man-made system is becoming interconnected, instrumented and intelligent. © 2012 IBM Corporation
  11. 11. IBM Italia S.p.A. Intelligent Water Management © 2012 IBM Corporation
  12. 12. IBM Italia S.p.A. 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 © 2012 IBM Corporation
  13. 13. IBM Italia S.p.A.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 its 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
  14. 14. IBM Italia S.p.A. 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 citiesEnd 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
  15. 15. IBM Italia S.p.A. 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 cityEnd User Value:  review consumption and understand trends  get alerted about animalies and potential leaks  compare consumptions with similar householdsUtility 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 optimizatimizationResults  Well informed users can reduce consumption by 10-20% with minimal impact on their comfort level © 2012 IBM Corporation
  16. 16. IBM Italia S.p.A.Italia: Progetto WaterGrid © 2012 IBM Corporation
  17. 17. IBM Italia S.p.A. Distribution of energy from renewable sources © 2012 IBM Corporation
  18. 18. IBM Italia S.p.A.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 © 2012 IBM Corporation
  19. 19. IBM Italia S.p.A.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) © 2012 IBM Corporation
  20. 20. IBM Italia S.p.A.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 20 © 2012 IBM Corporation
  21. 21. IBM Italia S.p.A.Urban Command Center: IBM Intelligent Operations Center for SmarterCities 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 © 2012 IBM Corporation
  22. 22. IBM Italia S.p.A.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 © 2012 IBM Corporation
  23. 23. IBM Italia S.p.A. Grazie per l’attenzione! © 2012 IBM Corporation