Development of a Surrogate-model Based Energy Efficiency Estimator for a Multi-step Chemical Process


  • Markku Ohenoja
  • Tero Vuolio
  • Teemu Pätsi
  • Petri Österberg
  • Mika Ruusunen



chemical process engineering, Tennessee Eastman, energy efficiency, PLSR models, model adaptation


Energy efficiency is increasingly being considered as a critical measure of process performance due to its importance both in production costs and in environmental footprint. In this work, an indirect energy efficiency estimator was developed for the Tennessee Eastman (TE) benchmark process for the first time. The TE model was first modified to provide the reference values of energy efficiency. A sophisticated model selection scheme was then applied to build the surrogate-model. The results indicate reasonable model performance with mean absolute prediction error around 1.7%. The results also highlight the limitations present in the training set, which are, together with other practical implementation issues, discussed in this work.


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