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- 1. Application Of AI Technologies In NPP 22.11.2024 | Belgrade Peter Kertys, Maroš Bubán
- 2. Our Power Plants (11/2024) 31x 2x 2x Installed capacity 1 653 MW 2 474 MW 2 MW SE production share 8.14% 91.85% 0.01% 4129 MW
- 4. Inhouse LLM Chat 6 months implementation Users eager to cover more topics 8 topic areas + 4 custom prompt built in progress
- 5. Inhouse LLM Chat 5 Information aggregator Company data User required training & GDPR Enterprise secured solution Own indexes Area specific validation SSO Own vector indexed DB Multi-stage prompt architecture in background Login required Feedback notification 20% employee utilization 2 stage search engine for no/SQL DB In house built FE & BE Cost management
- 6. Selector Agent Question Agent Summariz ation Agent Service Desk Agent Corporate documenta tion Agent Intranet Agent RAG evaluation Multiple models Different data sources Prepare data for user response Decision for domain agent selection Question request Vector DBs Architecture
- 7. Blowndown loss Data collection & quality check Report prototype Model calibration
- 8. 8 Reduced costs Better monitoring & interpolated values Enhanced process Operator training Data quality check required Continouos monitoring SMS notification Improved computation Chemistry system integration Power BI report Operator reaction & calibration Regression models, computation & simulation based on weather forecast & river level 12h update Blowndown loss – sulfates & potasium
- 9. 9 Concentration of salts in water and in the circuit Weather forecast Hron river water level + prediction Excel Delta Lake Web scrapping Flows,T of CCW, Weather PI system 1 h 24 h 1x/12h in 5m gr. 1x/12h in 5m gr. 1x/12h v 5m gr. Density calculation 12 h Blowndown loss - control room 1 h Batch processing Architecture
- 10. Internal consumption 1yr reference metering & calibration 1yr usage at NPP Jaslovské Bohunice +0,5MW during specific conditions
- 11. Int. consumption – impeller blade angle 11 Higher energy production Reduced own consumption Internal operation manual change Training Hourly update Data quality check Additional rule engine w/o safety impact Total integration into OT Scaling for Mochovce Integration with other circuit balancing projects Potential for full automation Power BI report with optimal set-up Additional temperature + prediction EMAIL + SMS notification Integrated Wet bulb temperature forecast, optimization model for temperature & impeller blade angle combinations on historic data Transfer function from temperature into circulation water
- 12. Delta Live Tables BQDV, CCW operational data PI system Weather forecast Delta Lake 4 h 1 h Rotation of the blades report Power BI Alerts Local SMS gateway Email Email SMS 1 h Wet bulb temperature – precalculated data Data transformation Architecture Calculation Data quality check
- 13. Questions Peter Kertys peter.kertys (at) seas.sk Maroš Bubán maros.buban (at) seas.sk