1. Slide 1

2. © 2012 Invensys. All Rights Reserved. The names, logos, and taglines identifying the products and services of Invensys are proprietary marks of Invensys or its subsidiaries. All third party trademarks and service marks are the proprietary marks of their respective owners. WW OPS-6 Transform Energy Data into Operational Information with Wonderware Corporate Energy Management Bill Schiel Director- Global Business Development Rudy Engert Business Development Manager – CEM & W/WW Christian-Marc Pouyez Product Manager – Intelligence & CEM

3. Slide 3 Agenda CEM problem statement & definition, opportunity CEM product description Integration with ArchestrA System Platform Demo CEM, Intelligence, Workflow, Reports,… Business cases Roadmap

4. Slide 4 Definition Of Corporate Energy Management What is CEM? "CEM" refers to sets of actions that move accountability for energy outcomes to upper levels of the firm. With CEM, energy is no longer the sole responsibility of plant managers and engineers; in fact, CEM programs are designed to involve many areas of business activity, such as accounting, marketing, and others that were not traditionally concerned with energy. Bringing corporate-level attention and management into the picture helps to ensure enterprise-wide opportunities are explored. From US Dept of Energy: http://www1.eere.energy.gov/industry/bestpractices/corporate_energy.htmlhttp://www1.eere.energy.gov/industry/bestpractices/corporate_energy.html

5. Slide 5 CEM is an *EMS Designed for Manufacturing Specified by the Invensys voting member of ISO 50001 US TAG A clean-sheet design, a configurable application Intended for use by manufacturing and heavy industrial operations, but also applicable to any energy consuming enterprise Bridges energy use data and manufacturing operational data The only product on the market that produces real-time Energy Performance Indicators for Intensity Closes the loop on information through an integrated workflow component that drives accountability Specified by the Invensys voting member of ISO 50001 US TAG A clean-sheet design, a configurable application Intended for use by manufacturing and heavy industrial operations, but also applicable to any energy consuming enterprise Bridges energy use data and manufacturing operational data The only product on the market that produces real-time Energy Performance Indicators for Intensity Closes the loop on information through an integrated workflow component that drives accountability * EMS is Energy Management System

6. Slide 6 CEM and Enterprise Control for Energy Big Picture Concept: Solve a corporations energy management initiative for ALL energy consuming assets: Factories and Plants Research centers Distribution Centers and Warehouses Offices Big Picture Concept: Solve a corporations energy management initiative for ALL energy consuming assets: Factories and Plants Research centers Distribution Centers and Warehouses Offices Approach: Use CEM, SP, EMI, AWF, and other components for a total solution Provide Local level detailed information for day-to-day operations Corporate level reports and analysis for weekly, monthly use Energy Consumption used for Activity Based Accounting for Energy-ABC4E Energy Consumption fed to Green House Gas and resource reporting Approach: Use CEM, SP, EMI, AWF, and other components for a total solution Provide Local level detailed information for day-to-day operations Corporate level reports and analysis for weekly, monthly use Energy Consumption used for Activity Based Accounting for Energy-ABC4E Energy Consumption fed to Green House Gas and resource reporting

7. Slide 7 Energy Management is a Straight-Forward Concept Why do manufacturers and industry have energy management initiatives? Financial Benefits –Spend less: Reduce Energy-Spend as an indirect cost –Use less: Reduce Energy Cost in COGS (materials+labor+energy) –Avoid unplanned cost: energy-use penalties (demand charges, surcharges) –Resource Availability: Plan for, and respond to, unreliable energy supply (brown-outs) Corporate Responsibility –Triple Bottom Line: Profit, People, Planet –Demanded by their customers (standards eg: Walmart) –Demanded by their governments (Regulations)

8. Slide 8 What is Return on Investment? We Need to know: –Annual and Monthly Consumption Spend on Energy Example: Annual $240,000, monthly average $20,000 –Surcharges for excess total usage and demand penalties Example: 10 charges per year, total $50,000 –Total Annual Spend $260,000 What CEM can do: –Decrease consumption spend 10-30% 10% of $240,000 = $24,000 year 30% of $240,000 = $72,000 –Avoid Surcharges ½ avoided = $25,000 –Total Decrease of $49,000 to $97,000 year Example for Electricity Investment is Software+Hardware+Services and will vary with EVERY project based on the application and the state of the energy metering infrastructure Investment is Software+Hardware+Services and will vary with EVERY project based on the application and the state of the energy metering infrastructure

9. Slide 9 Key Concept: The Journey 9 Ad HocAwarenessManaged

10. Slide 10 Ad Hoc 10 AwarenessManaged The “Low Hanging Fruit” is addressed –Energy efficient lighting, occupancy sensors –Variable speed drives installed –Low flow water fixtures installed –Spot check and manual reporting of energy/water usage monthly or weekly Challenges –Did it work? –Is it still working? “Low hanging fruit grows back” –Are there unintended consequences? –What if Roberto leaves?

11. Slide 11 Evidence 11

12. Slide 12 Awareness 12 Ad HocAwarenessManaged The organization learns about energy use and adapts –Sub-metering gives more granular usage –Experiments occur… what if we did this..? Kaizen in action! –Investments are made knowing ROI can be determined –Weekly, Daily, Shift reports become part of normal operations management –Real-time notification of success, deviations, failures Challenges –Demand for more meaningful data, related to what people are responsible for –Knowing deviations and failures is good, but can we prevent them? –Are there unintended consequences?

13. Slide 13 Managed Ad HocAwarenessManaged Energy Management is an organizational competency –Everyone knows how energy usage and deviation effect financial performance –Energy is managed as a variable cost and used by ERP for planning –The benefits of the energy management are sustained year after year –Automation is in place to prevent deviations –Smart Grid becomes a competitive advantage, bring it on! Challenges –Change –Continuous improvement

14. Slide 14 CEM Product Description

15. Slide 15 15 Context Transforms Energy Data to Energy Information Corporate Energy Management Application (CEM) Automatic Direct to Meters (also wireless) Meters thru PLC/DCS RTU from remote sites Building Management System Utility Interval Readings Automatic Direct to Meters (also wireless) Meters thru PLC/DCS RTU from remote sites Building Management System Utility Interval Readings Mobile IntelaTrac Mobile Data Collection Mobile IntelaTrac Mobile Data Collection External Context Weather- Current, Forecast Utility Rates Demand Response Signals from Grid External Context Weather- Current, Forecast Utility Rates Demand Response Signals from Grid Internal Context Operational Events from automation and MES Asset State from automation Order, Batch, SKU Internal Context Operational Events from automation and MES Asset State from automation Order, Batch, SKU Energy Usage Data Energy Usage Data Usage Context Corporate KPI Asset Management CMMS Asset Management CMMS ERP/MES Energy Metrics Work Request Energy Usage InTouch HMI Real-time view of energy usage Real-time KPIs Web Portal Run Pre-configured reports Analytics, Trends Production Worker Energy Manager Controller/Accountant Corporate Energy Manager Intelligence- EMI for Operations Energy Information Advanced Analysis and Simulation Rich Data

16. Slide 16 Energy Management Application Components 16 System Platform IAS Historian WIS DAS- PLC DAS- Modbus DAS- BACnet Building Management System Building Management System Meters for: Electric Power Compressed Air Steam Water Gas Chilled Medium Meters for: Electric Power Compressed Air Steam Water Gas Chilled Medium CEM Energy Database Energy Database BACnet LonWorks inTouch for real-time view of energy usage WIS for usage reports Intelligence-EMI for KPIs PLC DCS PLC DCS Online Connected Meters Work Flow Work Flow SmartGlance Mobile Reporting Offline Meters Industrial Automation

17. Slide 17 CEM Meter Objects Meter Objects Manage Device (meter) Configure & Apply Rate Schedule Read meter at intervals Collect data values to add context to reading Collect additional data from meter and send to Historian Store and forward CEM Engine Service Single Connection to Energy Database One per Engine Tested with 500 meters Throttle DB access based on CPU Energy Database Historian Energy Usage Transactions Energy Data Points ArchestrA Infrastructure And I/O Drivers, Alarms Accept External Rate Schedule Makes Dumb Meters Smart! Alarms Meter Related Alarms

18. Slide 18 CEM Event Objects Event Objects Triggers defined and monitored Assign meters to relate to event Trigger meters to read Collect data values to add context to event (lot ID, process values, etc.) Collect additional data from meter and send to Historian CEM Engine Service Single Connection to Energy Database One per Engine Tested with 500 meters Throttle DB access based on CPU Energy Database Historian Energy Usage Events Energy Data Points ArchestrA Infrastructure And I/O Drivers, Alarms PLC Registers, Database queries, MES objects, etc. Examples of Events Production Order High Flow Equipment State Shift Alarms Event Related Alarms Alarms Event Related Alarms

19. Slide 19 CEM Data validation/editing Offline mode Data Editing Interpolation of gaps

20. Slide 20 CEM 1.5 Release: November 2012 Performance for 30,000 meters Wonderware Intelligence Model and content for CEM Auto-interpolation of Offline data Reports improvement Billing Report

21. Slide 21 Performance Ensure performance for 30,000 meters for: Configuration (Hierarchies) Runtime (define architecture platforms/engines) Visualization (Summary display) Reporting (parameterizing and execution) Editing (CEM Web App) Provide a Deployment guide Assumptions: Single galaxy 3 years of data @15 minutes recordings CEM 1.5

22. Slide 22 Intelligence for CEM Self-Service access to CEM data. Enable end-users to: Do their own analysis of CEM data Build their own reports/dashboards on CEM data Put CEM data in context with other sources (MES, Historian, alarms, etc.) Quick time to value with pre-defined content CEM 1.5

23. Slide 23 CEM Reports Performance Improvements, for 30,000 meters New Report: Billing Report CEM 1.5

24. Slide 24 CEM Reports

25. Slide 25 WonderEnergy Demonstration A simulated Brewery Consumes electricity, gas, and water to brew beer Underlying simulation to “operate” the brewery Shows real-time and historical information Used to demonstrate concepts and features

26. Slide 26 CEM Use Cases

27. Slide 27 Use Cases 1.Food and Beverage Plant 2.Large Campus 3.Central monitoring of distributed sites

28. Slide 28 Food and Beverage Plants Single Plant- Stand-alone Multiple Plants- 9 Plants on one system Global Rollout- Dozens of plants

29. Slide 29 Large Campus Example 1: Combined Building Automation and Energy Management Example 2: Energy Management with Future for other applications

30. Slide 30 Central Monitoring of Distributed Sites Example 1: 2000+ Distributed Sites Example 2: Central Reporting from global locations

31. Slide 31 Energy Management Scenarios Enabled by Workflow Peak demand charge avoidance Reduce load to avoid charge Automated Demand Response in complex operations Day ahead- opt in/out Day of- execute, recover Co-Gen Make vs. Buy When wholesales prices for gas give better value than electricity Energy usage based maintenance Detect plugged filters, failing motors and equipment Notify maintenance people and CMMS Energy data collection system not working properly Notify maintenance to investigate and fix Notify Energy Manager that data gaps exist Peak demand charge avoidance Reduce load to avoid charge Automated Demand Response in complex operations Day ahead- opt in/out Day of- execute, recover Co-Gen Make vs. Buy When wholesales prices for gas give better value than electricity Energy usage based maintenance Detect plugged filters, failing motors and equipment Notify maintenance people and CMMS Energy data collection system not working properly Notify maintenance to investigate and fix Notify Energy Manager that data gaps exist

32. Slide 32 CEM Roadmap

33. Slide 33 CEM 2.0 - Ideas CEM 2.0 Target Tracking VEE DB Mainte- nance Diag- nostics Tools Config. Produc- tivity Meter Manage -ment Demand Response Voice of Customer Program New ideas

34. Slide 34 Target Monitoring Target Definition: energy measure, reference period or event, meters, minimum & maximum, deviation, One or more target by meter, event Input of targets by: Input Source, File, Database object (similar to rate) Target tracking: inequality, CUSUM, trend, ArchestrA script Target tracking enabled/disabled at runtime Alerting: Alarm, email, IM, Workflow CEM 2.0

35. Slide 35 Validation, Estimation and Editing (VEE) Option to auto distribute energy usage across offline intervals Edition of offline recordset, with auto linear interpolation Compute deltas and costs upon entry/edition of data Auto load offline meter data from a folder (operate as RTU) Audit log for edition of values Estimation of values while meter is offline: -by linear extrapolation -Custom script CEM 2.0

36. Slide 36 Meters - Miscellaneous Allow virtual meters to have offline child meters Allow for an Historian input source for meters Meter Replacement -Additional MetaData: serial number, installed date, calibration, etc. -Counter value override -Allow for non-recording mode CEM 2.0

37. Slide 37 Diagnostics Compare Galaxy with CEM Database Better error messages in ArchestrA logger, with identification of source of problem. CEM 2.0

38. Slide 38 Database Administration Archive Purge Restore CEM 2.0

39. Slide 39 Configuration Productivity Create strings automatically with default options when defining configuration items Do not require meta-data when defining a folder Pre-defined configuration items upon fresh installation (meter types, manufacturers, models, units, etc.) CEM 2.0

40. Slide 40 Demand Response (stretch goal) Demand monitoring object, with target (re-use meter object?) ArchestrA Symbol in support of demand response CEM 2.0

41. Slide 41 For more information on CEM Product Website: www.wonderware.com under Productswww.wonderware.com eLearning on training.wonderware.comtraining.wonderware.com Business Development: bill.schiel@invensys.combill.schiel@invensys.com Sales: rudy.engert@invensys.comrudy.engert@invensys.com Product Manager: christian-marc.pouyez@invensys.comchristian-marc.pouyez@invensys.com Product Marketing Manager: kelly.kunkle@invensys.comkelly.kunkle@invensys.com