PhD Studentship: Process Simulation, System Identification, Model Reduction and Process Control of
Carbon capture and storage (CCS) is viewed as a key technology to reduce anthropogenic CO2 emissions worldwide. We have pilot plants or even large scale commercial deployment of solvent based carbon capture plants. However it is still a technical challenge to operate and control such plants (esp. when it is integrated with various power plants). This project aims to develop (transfer function or state space) models using system identification (with experimental data from our pilot plant or our developed models for solvent based carbon capture). An alternative is to build reduced model from detail first principle models for solvent based carbon capture. The models will be further used for process control.
Applicants should have a minimum of an upper second class honours degree in chemical engineering, chemistry, bioscience or a related technical subject, or have an appropriate MSc qualification.
If English is not your first language then you must have International English Language Testing Service (IELTS) average of 6.5 or above with at least 6.0 in each component.