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Robust modelling of biomass conversion processes to meet low carbon objectives


Department of Chemical and Process Engineering

About the Project

Biomass residues and wastes have a great potential to deliver a significant contribution to the primary energy demand, with the aim of meeting low carbon objectives. Utilisation of low-grade biomass materials has been challenging. To assess performance of various biomass materials under different operating conditions and improve the process efficiency of biomass conversions, development of accurate, fast and robust modelling methods is desirable. This project is to develop and assess modelling methods to obtain a deeper insight into the physico-chemical processes of biomass conversion.

This project is under the supervision of Dr Jun Li and Dr Leo Lue. This innovative project is ideally suited to students with the creativity and drive to pursue doctoral studies at a technologically leading university, enabling the students to gain research expertise in analytical modelling. Knowledge and research experiences in the following areas are preferred: Energy Engineering, Thermal Engineering, and Chemical Engineering. Experience with a background in biomass energy, CFD modelling and programming is desirable.

In addition to undertaking cutting edge research, students are also registered for the Postgraduate Certificate in Researcher Development (PGCert), which is a supplementary qualification that develops a student’s skills, networks and career prospects.

Information about the host department can be found by visiting:

http://www.strath.ac.uk/engineering/chemicalprocessengineering

http://www.strath.ac.uk/courses/research/chemicalprocessengineering/

Funding Notes

This PhD project is initially offered on a self-funding basis. It is open to applicants with their own funding, or those applying to funding sources. However, excellent candidates will be eligible to be considered for a University scholarship.

Students applying should have (or expect to achieve) a minimum 2.1 undergraduate degree in a relevant engineering/science discipline, and be highly motivated to undertake multidisciplinary research. International students require IELTS overall 6.5 (all components above 5.5).

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