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Software Tools

Software Tools. Dr. Tomasz Kaminski 04.10.2008. Optimization of Efficiency Systematically Energy Management Plant Operation Management Planning Tools. Dr. Tomasz Kaminski 24.09.208. How to Improve Efficiency. First Step: low hanging fruits.

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Software Tools

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  1. Software Tools Dr. Tomasz Kaminski 04.10.2008

  2. Optimization of EfficiencySystematically Energy Management Plant Operation ManagementPlanning Tools Dr. Tomasz Kaminski 24.09.208

  3. How to Improve Efficiency First Step: low hanging fruits Improve efficiency by improving operation and maintenance – SI System 24/09/2008 ES-ST_ING_neu

  4. How to Improve Efficiency Next Steps: ● Audit or „map“ the plant using off line ۷ modelling tool e.g. Ebsilon ● Online optimization tool PADO ۷ ● Online fault tree detection system SRft - ● Online fault prediction system SPC ۷ ● Online fault detection system SWAN - ● Online life time monitoring SR1 for better - planning of inspections and maintenance 24/09/2008 ES-ST_ING_neu

  5. Why to use the software tools ? DCS has the information needed to do the calculation of efficiencies and heat ratesBut what are the limitations ? 1. DCS does not give the system wise efficiencies so you do not know where the losses occur 2. Data from I/O points e.g. Temperature, pressure mass flow could be wrong because of sensor errors, bad connectors etc. That makes calculationerroneous. 3. DCS does not giveadvice what to do 24/09/2008 ES-ST_ING_neu

  6. PADO: Online Optimization Sequence 1. All relevant data from DCS which goes into calculation need to be validated i.e. all implausible values have to be replaced by plausible values 2. All calculations must be done every 5 minutes (not only once a day) since the quality of coal and combustion process is changing. Threfore the state of heating surfaces must be monitored constantly. 3. Results should be presented in user friendly manner: state of comonents indicated by green, yellow, red and losses expressed in Rp per hour 24/09/2008 ES-ST_ING_neu

  7. SR4Diagnosis +Optimization SRx (Datamanagement) SRvData Validation WhatIf DCS SRx Visualisation PADO Functions OFFLINE 24/09/2008 ES-ST_ING_neu

  8. PADO Data Validation (1) 24/09/2008 ES-ST_ING_neu

  9. PADO Data Validation (2) ? ! RAW VALUES FROM DCSDO NOT MATCH THEBALANCE ! 24/09/2008 ES-ST_ING_neu

  10. PADO Data Validation (3) 24/09/2008 ES-ST_ING_neu

  11. PADO Data Validation (3) Support of PCT 6 by data validation 1.Installation of precision sensors2.Enter the readings from sensors to Ebsilon model3.Check the quality of measurements with data validation 24/09/2008 ES-ST_ING_neu

  12. PADO Data Validation (3) 24/09/2008 ES-ST_ING_neu

  13. PADO Data Validation (4) 24/09/2008 ES-ST_ING_neu

  14. PADO Screens 24/09/2008 ES-ST_ING_neu

  15. PADO Boiler (traffic light colours) Indicating the state of heating surfaces by traffic light coloursred = „bad“yellow = „not good“green = „good“ 24/09/2008 ES-ST_ING_neu

  16. PADO Indicating not correct measurements with violett colour 24/09/2008 ES-ST_ING_neu

  17. Presentation of Measurements (1) main steam measurements left and right (left not plausible) 24/09/2008 ES-ST_ING_neu

  18. Presentation of Measurements (2) ? Neural network generated the value 477 °C for not available value of tag 70HAH30CT129_XQ03 24/09/2008 ES-ST_ING_neu

  19. PADO Boiler 24/09/2008 ES-ST_ING_neu

  20. PADO Calculation &Optimization Results Compulsory Cleaning 24/09/2008 ES-ST_ING_neu

  21. PADO Controllable Losses (1) 24/09/2008 ES-ST_ING_neu

  22. PADO Controllable Losses (1) 24/09/2008 ES-ST_ING_neu

  23. PADO Setpoint Optimization (1) 24/09/2008 ES-ST_ING_neu

  24. PADO Setpoint Optimization (2) RECOMMENDEDSETPOINTS NOT SET 30 MIN LATERAFTER SETTINGRECOMMENDEDTHE SETPOINTS ! 24/09/2008 ES-ST_ING_neu

  25. SR4 SRopt SRceo SRmt SRbcm Diagnosis +Optimization SRx (Dataserver) -SR4 SRx (Dataserver) -SR1 SRvData Reconciliation SR1Life TimeMonitoring WhatIf DCS SPC SRx Visualisation Konfiguration Data Editing Parameter Editing PADO Modules OFFLINE 24/09/2008 ES-ST_ING_neu

  26. Advantages of PADO ● Improving the quality of measurements by data validation ● Evaluation of boiler, turbines, condenser and other components ● Optimization of unit operation (sootblowing, setpoints) ● Calculation of what-if scenarios ● Generation of daily and monthly reports ● Enhance the efficiency of the power plant ! 24/09/2008 ES-ST_ING_neu

  27. PADO Test Questions 1. What are the limitation of DCS systems in respect to calculation of heat rates and efficiencies with raw data ? 2. Give simple example how can we prove that the data validation is necessary for calculation of heat rates 3. Why the calculation should be carried out every 5 minutes ? 4. What are optimization modules in PADO ? 5. Which actions can be carried out to improve efficiency of the unit ? 24/09/2008 ES-ST_ING_neu

  28. PADO Test Questions 6. Give some examples of controllable losses? 7. Are heat rate correction curves used in PADO ? 24/09/2008 ES-ST_ING_neu

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