1 / 40

Bill Schiel Director- Global Business Development Rudy Engert

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. Agenda.

Download Presentation

Bill Schiel Director- Global Business Development Rudy Engert

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 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

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

  3. 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.html

  4. 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 * EMS is Energy Management System

  5. CEM and Enterprise Control for Energy • 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 • Big Picture Concept: • Solve a corporations energy management initiative for ALL energy consuming assets: • Factories and Plants • Research centers • Distribution Centers and Warehouses • Offices

  6. 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)

  7. What is Return on Investment? Example for Electricity • 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 • 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 Investment is Software+Hardware+Services and will vary with EVERY project based on the application and the state of the energy metering infrastructure

  8. Key Concept: The Journey

  9. 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? Ad Hoc

  10. Evidence

  11. 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? Awareness

  12. 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 Managed

  13. CEM Product Description

  14. Context Transforms Energy Data to Energy Information Production Worker Energy Manager Controller/Accountant Corporate Energy Manager • Web Portal • Run Pre-configured reports • Analytics, Trends • InTouch HMI • Real-time view of energy usage • Real-time KPIs Intelligence- EMI for Operations Energy Information Internal Context • Operational Events from automation and MES • Asset State from automation • Order, Batch, SKU Corporate KPI Energy Metrics ERP/MES Corporate Energy Management • Application • (CEM) Energy Usage Usage Context Asset Management CMMS External Context • Weather- Current, Forecast • Utility Rates • Demand Response Signals from Grid Work Request Energy Usage Data Advanced Analysis and Simulation Rich Data 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

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

  16. CEM Meter Objects Energy Usage Transactions Energy Database CEM EngineService • Single Connection to Energy Database • One per Engine • Tested with 500 meters • Throttle DB access based on CPU Accept External Rate Schedule 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 Historian Energy Data Points ArchestrA Infrastructure And I/O Drivers, Alarms Alarms Meter Related Alarms Makes Dumb Meters Smart!

  17. CEM Event Objects Energy Usage Events • Examples of Events • Production Order • High Flow • Equipment State • Shift Energy Database CEM EngineService • Single Connection to Energy Database • One per Engine • Tested with 500 meters • Throttle DB access based on CPU 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 Historian Energy Data Points Event Related Alarms ArchestrA Infrastructure And I/O Drivers, Alarms PLC Registers, Database queries, MES objects, etc. Alarms Alarms Event Related Alarms

  18. CEM Data validation/editing • Offline mode • Data Editing • Interpolation of gaps

  19. 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

  20. CEM 1.5 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

  21. CEM 1.5 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

  22. CEM Reports

  23. 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

  24. CEM Use Cases

  25. Use Cases • Food and Beverage Plant • Large Campus • Central monitoring of distributed sites

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

  27. Large Campus • Example1: Combined Building Automation and Energy Management • Example 2: Energy Management with Future for other applications

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

  29. 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

  30. CEM Roadmap

  31. CEM 2.0 - Ideas New ideas Demand Response Config. Produc-tivity Diag-nostics Tools Meter Manage-ment Voice of Customer Program

  32. CEM 2.0 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, Databaseobject (similar to rate) • Target tracking: inequality, CUSUM, trend, ArchestrA script • Target trackingenabled/disabledatruntime • Alerting: Alarm, email, IM, Workflow

  33. CEM 2.0 Validation, Estimation and Editing (VEE) • Option to auto distributeenergy usage across offline intervals • Edition of offline recordset, with auto linearinterpolation • Compute deltas and costsupon entry/edition of data • Auto load offline meter data from a folder (operate as RTU) • Audit log for edition of values • Estimation of values whilemeteris offline: • by linear extrapolation • Custom script

  34. CEM 2.0 Meters - Miscellaneous • Allowvirtual meters to have offline child meters • Allow for an Historian input source for meters • Meter Replacement • AdditionalMetaData: serial number, installed date, calibration, etc. • Counter value override • Allow for non-recording mode

  35. CEM 2.0 Diagnostics • Compare Galaxy with CEM Database • Bettererror messages in ArchestrAlogger, with identification of source of problem.

  36. CEM 2.0 Database Administration • Archive • Purge • Restore

  37. CEM 2.0 Configuration Productivity • Create strings automaticallywith default options whendefining configuration items • Do not requiremeta-data whendefining a folder • Pre-defined configuration items uponfresh installation (meter types, manufacturers, models, units, etc.)

  38. CEM 2.0 DemandResponse(stretch goal) • Demand monitoring object, withtarget (re-usemeterobject?) • ArchestrA Symbol in support of demandresponse

  39. For more information on CEM • Product Website: www.wonderware.com under Products • eLearning on training.wonderware.com • Business Development: bill.schiel@invensys.com • Sales: rudy.engert@invensys.com • Product Manager: christian-marc.pouyez@invensys.com • Product Marketing Manager: kelly.kunkle@invensys.com

More Related