2011 Energy Matters Summit

Transcription

1 2011 Energy Matters Summit Smart Grid: Instrumented-Interconnected-Intelligent How does a baby compare to a wind farm? 2010 IBM Corporation

2 The World Is Changing 2

3 The Reality of Living in a Globally Integrated World Increase in global water usage since the 1900s, twice the rate of human population growth The losses of electrical energy due to inefficiency - around the world Idle computer capacity Worth of produce is wasted in India because of outdated postharvest infrastructure Lost annually in the US due to healthcare fraud Spent on IT maintenance of total port volume in North America is empty containers Annual consumer product and retail sales lost in United States due to supply chain inefficiencies Annual impact of congested roadways 3

4 There is an explosion in information and real world events 1.3B RFID tags in B RFID tags by 2010 WW Information volume doubling every two years Capital market data volumes grew 1,750% Billion internet users by B mobile phone users in 2007 Government and Military activities increasing 4

5 The question is How to unlock value from information? How do I... Deal with extreme volumes of information? Analyze and respond to information events as they happen? Uncover the information most relevant to my business? Respond to events in real time? Leverage a greater variety of information? Unlock the value of information better than my competition? 5

6 Our world is becoming INSTRUMENTED We now have the ability to measure, sense and see the exact condition of everything. Our world is becoming INTERCONNECTED People, systems, and objects can communicate and interact with each other in entirely new ways. Sensors Event Processing & Integration New Data New Insights 6 Virtually all things becoming INTELLIGENT We can respond to changes quickly and accurately, and get better results by predicting & optimizing for future events. Visualization & Tuning New & Optimized Business Processes Process Innovation

7 Analytics 2010 IBM Corporation

8 Traditional Analytics and Stream Analytics open up new opportunities and provide greater value Non-Traditional / Non- Relational Data Sources In-Motion Analytics Ultra Low Latency Results Traditional / Relational Data Sources Database At-Rest Data Analytics Results 8

9 E-Baby 2010 IBM Corporation

10 E-BABY 11

11 Neonatal Care 1 in 14 babies are born premature in Canada Approx 17% of babies born in NSW, Australia require some form of special care and 15% of NICU admissions are transferred after birth from a remote hospital Premature babies can be up to 17 weeks early and weigh only 450gms They can spend 3-4 months in NICU Similar conditions apply elsewhere around the world 12

12 Neonatal Care Multiple devices are attached to the baby or humidicrib Medical devices output via serial port in a range of formats Indicative readings are recorded on paper every 30 or 60 minutes Cost of care per baby is approx $ K not including morbidity related care 13

13 Artemis Architecture Overview SpO2 BP ECG HR MP50 Babylog8000 CapsuleTech Server Clinical Information System Medical Data Hub Configuration Server CIS Adapter SPADE IDE HR Source Op SpO2 Source Op BP Source Op CIS Source Op EP Deployment Server QRS Ontology Driven Rule Modifier WebSphere Application Server DB2 FA RR BP WT PT BPA WTA AR Deployment Server InfoSphere Streams Runtime Knowledge Extraction Data Miner HIR Sepsis Alert Sink Op Data Mover Data Integration Mgr Stream Patient Artifact Management Artifact Entry Server Artifact Quality Mgr USER INTERFACE Cognos Vendor IBM Res IBM Product 14 UOIT UOIT+IBM Res

14 Simple Example: Patient Instability 75% of readings < th for 20sec 75% of readings < th for 20sec where th = GestAge 15 mean arterial pressure (MAP) > gestational age (GA) in weeks).

15 Wind Farms 2010 IBM Corporation

16 Off-shore Wind Energy in Europe Large Number of off-shore wind parks in planning In particular: Netherlands, Germany (1551 turbines approved), UK Map Goal: 15% of German power generation provided by off-shore wind parks. 17

17 Inefficiency in Wind Energy Forecast In 2007, Vattenfall's engineers had to scrap their daily scheduling plans roughly every other day to reconfigure electricity supplies on the fly; in early 2008, such changes became necessary every day. Power plants had to cycle on and off inefficiently, and the company had to make emergency electricity purchases at high prices. Days of very high wind and low demand even forced the Vattenfall workers to quickly shut the wind farms down. (1) 3000 (2) Actual - Estimate in MW 2000 Typical Power Plant Size Source: (1) Technology Review: Lifeline for Renewable Power, January/February 2009, By David Talbot (2) Data for 12/ Maximum (per 15 min) Average (per 15 min) Minimum (per 15 min) 18

18 IBM Solution: Weather Forecast Deep Thunder Actual - Estimate in MW Maximum (per 15 min) Average (per 15 min) Minimum (per 15 min)

19 Wind Park Efficiency Analysis and Optimization Large number of off-shore wind park in planning and construction Germany: 1551 turbines approved Optimization problem: Optimum placement of wind turbines in the give area (x, y, z) is not known Source: 20

20 Efficiency is Highly Dependent on Wind Direction Park efficiency depends on park layout and wind direction Efficiency Alpha Ventus Turbines Wind Speed Wind Direction (0 = N) Source: RAVE Research at Alpha Ventus 21

21 Wind Farm Overview 22

22 View of Turbine Fault 23

23 View of Turbine Organizational Data 24

24 View of Turbine Sensor output data 25

25 Analysis of Turbine Faults 26

26 View of Turbine Power Curves 27

27 Wind Analysis 28

28 Data-Information-Knowledge-Wisdom 2010 IBM Corporation

29 Connections Drive Knowledge Reactive Reactive Reactive Proactive Connectedness Understanding Relationships Patterns Principles Analytics Drives Proactivity Data Information Knowledge Wisdom 30

30 What makes a Smart Grid Smart? Situational Awareness Better Decision- making 31

31 IBM s vision for Autonomic Computing Intelligent open systems that: Manage complexity Know themselves Continuously tune themselves Adapt to unpredictable conditions Prevent and recover from failures Provide a safe environment Providing customer value Increased return on IT investment Improved resiliency and quality of service Accelerated time to value Focus on business, not infrastructure 32

32 Autonomic Computing attributes Self-managing systems that deliver: Increased Responsiveness Adapt to dynamically changing environments Business Resiliency Discover, diagnose, and act to prevent disruptions Operational Efficiency Tune resources and balance workloads to maximize use of IT resources Secure Information and Resources Anticipate, detect, identify, and protect against attacks 33

33 Smart Grids What s Next? 2010 IBM Corporation

34 What makes a Smart Grid Smart? This new grid paradigm means the design and implementation of systems, software, and support must exhibit these basic fundamentals from a Utility perspective: Flexible. The system will be able to sift data via a platformand device-agnostic approach. Accessible. The nature of the autonomic system is that it is always on. Transparent. The system will perform its tasks and adapt to a Utility's needs without dragging the Utility into the intricacies of its workings. 35

35 What s Next? A New Paradigm Partnerships Alliances Teaming Collaboration Sharing Interconnectivity With Customers Within the LDC LDC to LDC Regional Grids Provincial Grids National Grid North American Grid 36

36 What s Next? Connectivity Monitoring, Telemetry, and Control of the Grid at many levels from Smallest Granularity to Largest Mass Renewable Generation will be everywhere wind and solar 37 A Grid of Grids ubiquitous connectivity and free-flowing bidirectional communication is paramount Distributed Energy Storage Energy Inventory Redirection and Consumption How big will biomass be and what will it be? Grid complexity will grow exponentially A supply chain model is the only way to manage the next generation grid

37 Conclusion How is a baby compared to a wind farm? They are exactly the same! Our world is becoming INSTRUMENTED Our world is becoming INTERCONNECTED Virtually all things, processes and ways of working are becoming INTELLIGENT 38

38 IBM Thank You Michael J Martin, MA, MBA, GDM, SCPM, PMP, CBNT direct cellular michael.martin@ca.ibm.com 39