posted on 2024-11-21, 03:09authored byDinoja Fernando
This study introduces a novel numerical modeling approach aimed at improving the yield and quality of hydrogen-rich syngas through co-pyrolysis in a fluidized bed reactor, using catalytic bed materials. It enhances the understanding of gasification processes and supports the optimization of clean energy production. A key innovation is the development of an affordable, simplified CFD model to predict particle agglomeration in fine iron particles. This model shows potential for scalability, offering reduced costs and computational time, and could be adapted for future investigations into agglomeration in biomass combustion.
History
Thesis type
Thesis (PhD)
Thesis note
Thesis submitted for the Degree of Doctor of Philosophy, Swinburne University of Technology, 2024.