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Techniques for hybrid modelling for process control and optimisation

In this work three successive generations of hybrid models have been developed (first-principles models extended with some elements of empirical models) for the selected benchmarking plants to mimic their dynamic behaviour. Each model covers a pre-specified window of operation. The successive model generations will represent increasing levels of performance. The modelling environment chosen for INCOOP is gPROMS because of its state-of the-art functionality for simulation of complex dynamic systems.

The key results of this work are:
- Four generations of dynamic model of a large scale petro-chemical plant. The latest model has been validated against available plant data.

- A dynamic model of a polymerization plant.

- Improved methods for:
-- Model development: a model synthesis method has been developed that is better suited for large-scale problems than existing techniques.

-- Model validation: wavelets have been used to validate the dynamic model for the different frequencies present in the plant.

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