High-fidelity process models play a key part in the digitalization of process plants – as part of the Digital Twin, in generating information for monitoring the real KPIs, and in optimising production across the enterprise.

How do models help?

High-fidelity predictive models help turn data into useful information. In digital design applications, they can be used to explore the decision space rapidly in order to design better products and processes. In operation, models can be used to ensure 'always optimal' operation.

Why gPROMS? Why PSE?

The gPROMS platform's support for high-performance computing (HPC) and the ability to solve large, predictive process models rapidly and robustly make it ideally suited to the requirements of digitalization thoughout industry.

PSE is involved in a number of digitalization initiatives with the leaders in the field. Contact us for more information.

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