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A Digital Twin for technoeconomic modelling and optimisation of VOC abatement in the pharma industry

Project Description

This collaborative research project between the University of Edinburgh (UoE) and a major multinational pharmaceutical company will employ high-fidelity numerical modelling to capture, visualise and optimise the design and operation of organic solvent removal processes towards the sustainable and environmentally benign production of medications.

In particular, this project aims to combine first-principles (physics-based) and data-driven process modelling, in order to achieve process intensification in capturing Volatile Organic Compounds (VOCs) from gas effluents. Current VOC capture technology faces dire challenges due to the highly variant incoming feed composition and organic solvent loads, but also due to significant outsourcing and maintenance costs for adsorbent regeneration.
The Gerogiorgis Research Group at the School of Engineering (University of Edinburgh) employs high-fidelity first-principles modelling and advanced numerical methods for systematic synthesis, design and optimisation of complex chemical processes, with emphasis on continuous pharmaceutical manufacturing and comparative technoeconomic analyses for pharmaceuticals, bioproducts, food/drinks and energy. Their research is recognised with multiple IChemE Global Award distinctions, an Academy of Athens research publication prize, and a recent Royal Academy of Engineering (RAEng) Industrial Fellowship.

For more information, please visit: https://eng.ed.ac.uk/studying/postgraduate/research/phd/digital-twin-technoeconomic-modelling-and-optimisation-voc

Funding Notes

Tuition fees and stipend are available for Home/EU students (International students can apply, but the funding only covers the Home/EU fee rate).

How good is research at University of Edinburgh in General Engineering?
(joint submission with Heriot-Watt University)

FTE Category A staff submitted: 91.80

Research output data provided by the Research Excellence Framework (REF)

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