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AI Plant Control for Steel-works utilities, Germany & Switzerland

3%

Increase in product yield (Argon recovery)

2%

Reduction in Energy Consumption

60-80%

Reduced effort to implement and maintain model

Annual cost savings

Business Challenge​

Operators need to optimize product yield to efficiently meet demand. A potential Linear Model Predictive Control (LMPC) solution should be deployed quickly, with continuous model updates requiring minimal effort.

Solutions Deployed

AI Plant Control (AIPC)​
  • Robust operations across operational modes with different machines in operation
  • Model extension for gas case: two weeks only

Benefits

  • 3% increase in argon recovery, significantly increasing plant productivity.
  • 2% reduction in energy consumption, with the potential for more saving over time as model learns and improves its performance.
  • 60-80% reduced effort to implement & maintain model,  compared to non-AI driven LMPC models.

These improvements collectively delivered annual savings of 300k USD