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Prof Mohamed Pourkashanian,
Prof W Nimmo,
Prof Lin Ma
Applications accepted all year round
Self-Funded PhD Students Only
About the Project
AD is non-linear process which is notoriously difficult to control automatically and therefore has in the past relied on expert operators to maintain the performance and stability of AD sites. At household to institutional scale this is financially unfeasible and therefore it is of great interest to investigate the possibility of expert control systems for AD plants. This work will consolidate the large amount of theoretical research performed in this area and select the most practical systems. These will be optimised using calibrated AD process models and tested at laboratory scale. The research will benefit from the available experimental facilities including laboratory-scale digesters, excellent analytical facilities, expertise in the computer modelling of AD process kinetics, mass balance and operational strategies and links with industry through our collaborative work with micro-AD development sites in the UK.
Funding Notes
1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline.
This project is available only for Self funded students.
This project is available only for Self funded students.
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