Hybrid process models: the benefits explained in CHEManager

We've written for CHEManager about the benefits of hybrid plant models for chemical process optimization. Here's where to read it.

We’re pleased to have written a guest article for CHEManager this month. It looks at the benefits of moving beyond traditional first principle modelling in chemical plants to adopt hybrid models enhanced with artificial intelligence that help boost operational efficiency.

Head over to the CHEManager site now to read how hybrid models lay the foundations for continuous optimization of chemical processes using technologies like machine learning – increasingly essential as experienced personnel retire from the sector.

You’ll find the article, published in German, via the link below.

Explore further:

Chemical process models – from first principle to hybrid models
In this article, we explore the role, common uses and limitations of the first principle approach to chemical process modelling. And we contrast this with the advantages and disadvantages of using empirical or statistical models.
We then look at how taking the first steps into new, intelligent 'hybrid' models can deliver the best of both approaches and more than the sum of their parts.

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