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PI SYSTEM FOR OPERATIONAL INTELLEGENCE Nandita Sahoo Tata Power - PowerPoint PPT Presentation

PI SYSTEM FOR OPERATIONAL INTELLEGENCE Nandita Sahoo Tata Power TATA POWER Indias largest integrated private power utility. 8521 MW Installed capacity (Thermal, Hydro, DG, Solar and Wind) Presence in entire value chain like Generation,


  1. PI SYSTEM FOR OPERATIONAL INTELLEGENCE Nandita Sahoo Tata Power

  2. TATA POWER India’s largest integrated private power utility. 8521 MW Installed capacity (Thermal, Hydro, DG, Solar and Wind) Presence in entire value chain like Generation, Transmission, Distribution, Fuel sourcing, Logistics and Power trading. Expanding its horizon beyond India in countries like Australia, Bhutan, Singapore, Indonesia, Africa, Netherlands & the Middle East.

  3. OPERATIONAL INTELLIGENCE Methods and technology for getting an insight into the business. Gain deeper understanding with relevant information. Facilitates development of business solutions on the available data. Improve overall performance & efficiency. Reveal important patterns and analytics derived from correlating events from many sources. Leverage live feeds and historical data to find trends and anomalies, and to make more effective decisions based on that information.

  4. CHALLENGES Rapid growth and expansion faces the challenge to retain experienced talent & maintain processes. Standardizing KPI reporting across the organization. Various Sources of Information. Manual Process of data reporting. Centralized Performance improvement of existing assets.

  5. SOLUTION Single source of Better access to data. information for local and central monitoring. New methods and tools Elimination of human for sharing information error. and analysis respectively. Real time monitoring and Central Asset Monitoring Analysis of performance & Diagnostic Station. data.

  6. SOLUTION DEPLOYMENT  PI System  Development of business and process analytics and dashboards.  Condition based monitoring of Equipment.  Identify areas for increased efficiency through Analytics.  Real time monitoring and efficiently handle various plant conditions.

  7. ENTERPRISE WIDE ROLLOUT DCS DCS Server & DCS DCS Various DCS Unit IFs Unit IFs Unit IFs Various IFs Unit IFs Jojobera PI Haldia PI Mundra PI Trombay PI Maithon PI Central PI Hydro PI Transmission PI PI RDBMS IF Mulshi IF Lodhivli IF Unit IFs IF STAGING DATABASE DCS & SCADA Unified SCADA SCADA SCADA KPI MONI SYS

  8. OPERATIONAL INTELLIGENCE IN TATA POWER Automation of Web based Integration With Enterprise Wide Performance SAP. KPIs. Monitoring. In-house Plant Central Asset Business Solution Performance Monitoring Development. Analysis. Station .

  9. AUTOMATION OF ENTERPRISE WIDE KPI

  10. AUTOMATION OF ENTERPRISE KPI • Enterprise • Automation • Complex • PI system the wide Balanced helps in calculations only source of Score Card streamlining are developed data for (BSC) the reporting in PI System operational monitored process. and and using KPI performance environmental Monitoring measures are parameters System. reported to KPI. Management without any manual intervention.

  11. AUTOMATION OF ENTERPRISE KPI DCS & SCADA MIS SAP Web Based MIS Database BW/BI KPI Monitoring PI System System Financial Data Manual Web Applications SAP R3 Reports Data Entry Knowledge mgmt SETU:Safety Enterprise Systems Cust. Connect etc. SAP R3

  12. AUTOMATION OF ENTERPRISE KPI Transmission Grid Availability • Transmission Grid Availability for entire Mumbai Transmission grid which includes 71 transmission lines and 71 Transformers automated. • Status of each equipment of Switchyard of all Generation and Transmission stations made available on PI System. • Sequential calculations developed in PI System for calculating outage details of lines and Transformers. Availability of each line and each Transformer was calculated to provide Grid Availability of entire Transmission grid.

  13. WEB BASED PERFORMANCE MONITORING

  14. WEB BASED PERFORMANCE MONITORING Online Data Available over Web. Live Performance monitoring over Web. Detail commercial and Efficiency Monitoring parameters. 14

  15. WEB BASED PERFORMANCE MONITORING

  16. WEB BASED PERFORMANCE MONITORING

  17. INTEGRATION WITH SAP

  18. INTEGRATION WITH SAP-COE SAP-COE plans to automate performance monitoring drill down using SAP-BI report tools. Trombay Unit 5 heat rate was decided upon as a pilot project. PI system is used for performing automated calculations and data transfer. Since Steam Tables cannot be deployed in SAP, it was decided to use the steam tables function of PI system for thermodynamic calculations.

  19. INTEGRATION WITH SAP-COE PI SERVER PI OLEDB SSIS ORACLE SAP BI REPORT 19

  20. INTEGRATION WITH SAP

  21. INTEGRATION WITH SAP 33 KV 22 KV 11 KV 6.6 KV

  22. INTEGRATION WITH SAP 33 KV 22 KV 11 KV 6.6 KV

  23. IN-HOUSE BUSSINESS SOLUTIONS

  24. IN-HOUSE BUSINESS SOLUTION Tripping Analysis  Developed based on PI System data and features.  Program developed on VBA Processbook that automatically gives the critical parameters trend during tripping.  Provision has been kept to add parameter as per requirement.  Displays and trends made with PI System Graphical tool Processbook.

  25. IN-HOUSE BUSINESS SOLUTION

  26. IN-HOUSE BUSINESS SOLUTION Smart Soot Blowing Solution  Soot Blowers operated to clean ash deposited on Boiler tubes without overall impact on Boiler efficiency.  Application developed that analyses effect of individual soot blowers in various conditions.  A group of most effective soot blowers are suggested to Operators for prioritizing the operation of soot blowers.  Impact on Boiler Efficiency. Its effect is evident in improvement in SH temp, DM Water consumption and Heat Rate.

  27. IN-HOUSE BUSINESS SOLUTION Smart Soot Blowing Solution

  28. IN-HOUSE BUSINESS SOLUTION Solar Equipment Monitoring  Effect of sun rays on Solar PV modules.  Polynomial Relationship between Solar radiation and current derived Programatically.  Deviation from polynomial provides alarm for operation engineers to investigate. 28

  29. PLANT PERFORMANCE ANALYSIS Mulshi Radiation Analysis

  30. PLANT PERFORMANCE ANALYSIS

  31. PLANT PERFORMANCE ANALYSIS  Developed Performance Analytics for • Thermodynamic Cycle • Auxiliary consumption • Impact of each Auxiliary equipment on plant performance • Equipment performance on Heat Rate 31

  32. PLANT PERFORMANCE ANALYSIS Heat Balance Diagram

  33. PLANT PERFORMANCE ANALYSIS

  34. PLANT PERFORMANCE ANALYSIS

  35. PLANT PERFORMANCE ANALYSIS Individual Mill Contribution to Heat Rate 225.3 110

  36. CENTRAL ASSET MONITORING

  37. CENTRAL ASSET MONITORING Expert advice Data from Facilitates from decentralized Centralized centralized plants to location to diagnostics Centralized decentralized and analytics location locations

  38. QUESTIONS

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