Primary Supervisor
- Position
- Senior Lecturer in Chemical Engineering
- Division / Faculty
- Faculty of Engineering
Other QUT supervisors
- Position
- Senior Lecturer in Applied and Computational Mathematics
- Division / Faculty
- Faculty of Science
Overview
Carbon capture and storage is a critical technology for decarbonisation of hard to abate sectors such as steel and cement production. The chemical processes used for these technologies - absorption columns and stripper columns - are accurately modelled by sets of nonlinear ODE boundary value problems with interesting emergent behaviour, such as boundary layers and spontaneous bifurcations at critical parameters. These ODEs are routinely solved numerically, but there analytical behaviour is poorly understood. In this project, the student will conduct a therotical analysis of these ODEs, in order to identify analytical and semi-analytical conditions for bifurcations leading to qualitative shifts in performance. If succesful, this project could lead to engineering rules of thumb for engineers designing novel CCS and Direct Air Capture processes. This topic is interdisciplinary, and will be conducted in collaboration with applied mathematicians at QUT. The student should have a strong interest in mathematical modelling, and be comfortable and/or interested in analysis of nonlinear differential equations via tools such as perturbation analyses and bifurcation theory. A strong mathematical background (indeed, a nerdy love for maths) is a pre-requisite for this topic.
Research engagement
Mathematical modelling; Development of Numerical Models
Research activities
The student will develop numerical methods to solve these ODEBVP problems. They will also work with their supervisors to develop analytical methods for understanding the qualitative behaviour of these ODEs. The methods used will include perturbuation analyses, linearisation, and bifurcation analyses.
Research skills
The student will gain a broad understanding of how analytical mathematical tools may be applied to practical engineering problems.
Skills and experience
The ideal candidate would have a strong mathematical background, such as a maths/physics minor or a double degree in engineering/maths or engineering/physics. Most important is a love for maths and a desire to learn.
Start date
2 November, 2026End date
19 February, 2027Location
QUT GP (Work from home, etc. can be arranged).
Keywords
Contact
Thomas Moore
0493 832 921
moore44@qut.edu.au