Understanding particle-laden flows for clean high temperature processes. This project aims to understand and provide computational design tools for the complex heat and mass transfer processes within the new technologies that needed for the high temperature processing of minerals with low net carbon dioxide (CO2) emissions, both with and without the use of concentrated solar thermal energy. These models are needed to achieve low-cost scale-up and development of the new technologies under develop ....Understanding particle-laden flows for clean high temperature processes. This project aims to understand and provide computational design tools for the complex heat and mass transfer processes within the new technologies that needed for the high temperature processing of minerals with low net carbon dioxide (CO2) emissions, both with and without the use of concentrated solar thermal energy. These models are needed to achieve low-cost scale-up and development of the new technologies under development, because they operate in regimes of particle-laden flow for which present numerical design tools are unreliable. The project will underpin the development of new technologies that are needed for Australia to meet its greenhouse emissions targets and to capitalise on the anticipated global demand for low-carbon-intensive metals and other value-added products.Read moreRead less
Uncertainties in coherent transport of particles and intrinsic properties. This Project aims to quantify the uncertainty of a model output in terms of uncertainties in modelling assumptions, by developing new mathematical techniques and applying them to real-world data. This will be in the context of assessing the accuracy of tracking coherently moving structures (e.g., hurricanes, oceanic biodiversity hotspots, pollutant patches, insect swarms) from experimental/observational data sets. Novel, ....Uncertainties in coherent transport of particles and intrinsic properties. This Project aims to quantify the uncertainty of a model output in terms of uncertainties in modelling assumptions, by developing new mathematical techniques and applying them to real-world data. This will be in the context of assessing the accuracy of tracking coherently moving structures (e.g., hurricanes, oceanic biodiversity hotspots, pollutant patches, insect swarms) from experimental/observational data sets. Novel, data-tested, mathematical methods for uncertainty quantification of coherent structures will be developed as Project outcomes. Project benefits include new insights into protecting the environment, improved uncertainty quantification in climate modelling, and the generation of interdisciplinary knowledge and training.Read moreRead less