Developing a Suite of Models for Integrated Dynamic Simulation of Chemical Process Plant (Digital Twins)

The aim of this PhD is to develop a suite of dynamic models and associated configuration tools that can be integrated to mimic whole process plants. Fundamental building blocks will include dynamic descriptions of reaction and separation units configured to be accessible and easy to use (using MATLAB and Simulink as a drag and drop environment). Ultimately, we wish to create mimics (twins) of real-life processes, for example, water treatment work, chemical processing plant, food manufacturing facility etc. This would incorporate current manufacturing data, utilise combinations of mechanistic and data-based models to predict critical quality parameters and study the dynamic performance of the plant.

Delivery of a flexible digital twin simulation environment would be a valuable asset assisting process design, operation and optimisation for industry.

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