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Evonik Oxeno cuts CO2 emissions with AI-based plant optimization

By Public Technologies
  • Evonik Oxeno has deployed AI-based process models in operating plants for the first time, improving energy efficiency and reducing CO₂ emissions.
  • Plants in Marl, Germany, and Antwerp, Belgium, use the technology to optimize operations and lower energy consumption per product.
  • The COMPAS models draw on more than 1 million simulations to generate realistic plant-control recommendations within seconds.
  • Additional applications under implementation include automatically transferring AI-generated model results into digital plant-control systems.


Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Evonik Industries AG published the original content used to generate this news brief on November 09, 2026, and is solely responsible for the information contained therein.

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