Self-optimising Plants

The implementation of AI methods for the optimisation of process plants shall significantly enhance the efficiency and profitability of chemical and biotechnical production processes. The learning of optimal operating points and operating strategies for complex plants, model predictive control on the basis of machine learning, and an AI based consulting system for the support of the operating staff shall be examined and tested. The validation and demonstration of the methods will be executed on a pilot and a testing plant, i.e. by Merck, Evonik, and Air Liquide.

Contact: Prof. Sebastian Engell, TU Dortmund


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