VROC's power generation client wished to conduct a comparison study between the performance of two identical air supply units to isolate the underlying cause of a loss of energy production as well as excessive energy consumption and reliability issues on one of them.
For the comparison study between the two units’ air supply system, all the critical sensors corresponding to pressure and flowrate of key equipment responsible for circulating the air were selected for modelling. In addition to monitoring the sensors, the calculated and actual air and oxygen demand values were included in the AI model set to compare the calculated and actual demands and highlight the discrepancy between the units.
VROC concluded that on Unit#1 there was a significant deviation predicted for Gas Air Heater inlet pressure and Gas Air Heater differential pressure. Based on the modelling data it was concluded that there was pressure loss in the boiler and pressure entry to the gas heater which was subsequently confirmed by the client.
Gain real-time visibility, predict failure earlier, optimize performance, and take control of your operations with VROC’s integrated solutions.
Interested in a demo of one of our data solution products?
DataHUB4.0 is our enterprise data historian solution, OPUS is our Auto AI platform and OASIS is our remote control solution for Smart Cities and Facilities.
Book your demo with our team today!
The efficient deployment, continuous retraining of models with live data and monitoring of model accuracy falls under the categorisation called MLOps. As businesses have hundreds and even.
Learn more about DataHUB+, VROC's enterprise data historian and visualization platform. Complete the form to download the product sheet.
Interested in reading the technical case studies? Complete the form and our team will be in touch with you.
Subscribe to our newsletter for quarterly VROC updates and industry news.