Cold catalysis for water splitting. This project aims to develop photocatalysts via AC magnetic field through nanoscale heating for efficient H2 generation. This project is to introduce cold catalysis concept, which heats catalysts only but not solution, thus called cold catalysis, in the area of production of renewable energy. Expected outcome is the creation of clean and low cost catalysts to effectively harvest the chemical energy from the sun via splitting of water into H2 and O2 without cau ....Cold catalysis for water splitting. This project aims to develop photocatalysts via AC magnetic field through nanoscale heating for efficient H2 generation. This project is to introduce cold catalysis concept, which heats catalysts only but not solution, thus called cold catalysis, in the area of production of renewable energy. Expected outcome is the creation of clean and low cost catalysts to effectively harvest the chemical energy from the sun via splitting of water into H2 and O2 without causing any environmental damage. This unique technology will also help to address clean energy generation, which is in line with H2 economy plan by Australia government, and provide opportunities for new industries that will benefit Australian economy.Read moreRead less
Nanoscale heating towards high efficient nitrogen reduction reduction. This project aims to develop nanoscale heating technique using AC magnetic field for efficient synthesis of ammonia, widely used for fertiliser and having potential for hydrogen storage. This project is to introduce nanoscale heating concept by heating catalyst only but not solution in electrochemical catalysis to achieve high catalytic activity. Expected outcome is the creation of low cost catalysts having high selectivity a ....Nanoscale heating towards high efficient nitrogen reduction reduction. This project aims to develop nanoscale heating technique using AC magnetic field for efficient synthesis of ammonia, widely used for fertiliser and having potential for hydrogen storage. This project is to introduce nanoscale heating concept by heating catalyst only but not solution in electrochemical catalysis to achieve high catalytic activity. Expected outcome is the creation of low cost catalysts having high selectivity and formation rate for ammonia production. This unique technology has the potential to replace current ammonia production based on Haber-Bosch process, which consumes 2% of world energy and contributes 3% of overall CO2 emission. The project provides opportunities for new industries that will benefit Australian economy.Read moreRead less
A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, inte ....A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data. The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.Read moreRead less
Controllable synthesis of multifunctional boron-based 2D materials. This project aims to make it possible to control the synthesis of boron-based two-dimensional (2D) materials with the desired following features in single or multiple aspects: thickness, composition, lateral sizes, porosity, surface area, and functionality. It intends to do so by designing and synthesising novel precursors, and by optimising the fabrication process of boron-based 2D nanosheets for different applications. The pro ....Controllable synthesis of multifunctional boron-based 2D materials. This project aims to make it possible to control the synthesis of boron-based two-dimensional (2D) materials with the desired following features in single or multiple aspects: thickness, composition, lateral sizes, porosity, surface area, and functionality. It intends to do so by designing and synthesising novel precursors, and by optimising the fabrication process of boron-based 2D nanosheets for different applications. The project will advance our fundamental knowledge in synthetic chemistry, materials chemistry, materials engineering and physics. It is expected to take us closer to unlocking the potential of boron-based 2D materials for real-world applications in, for example, energy storage and high-performance flexible electronics.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100583
Funder
Australian Research Council
Funding Amount
$445,000.00
Summary
Engineering of biocatalysis in metal-organic frameworks for CO2 conversion. Transforming the greenhouse gas carbon dioxide (CO2) into valuable fuels would be beneficial for relieving energy shortage and improving global sustainability. This project aims to architect a biocascade system in metal-organic frameworks (MOFs) for artificial CO2 conversion. Learned from the living organisms, a whole biocatalysis unit including enzymes and cofactors will be encased and protected in an artificial porous ....Engineering of biocatalysis in metal-organic frameworks for CO2 conversion. Transforming the greenhouse gas carbon dioxide (CO2) into valuable fuels would be beneficial for relieving energy shortage and improving global sustainability. This project aims to architect a biocascade system in metal-organic frameworks (MOFs) for artificial CO2 conversion. Learned from the living organisms, a whole biocatalysis unit including enzymes and cofactors will be encased and protected in an artificial porous polymeric MOF coating. This approach is expected to deliver robust biocatalysts with high reaction-activity and chemo-selectivity in converting CO2 into methanol under the industrial operating condition, involving thermal, pH, and chemical stressors. This advancement will contribute to a carbon-neutral industry and society.Read moreRead less
Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achiev ....Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achieve desired dynamic features. This project aims to develop such a data-based approach by controlling latent variable dynamics, using the behavioural systems framework integrated with big data analytics and artificial neural networks. The outcomes are expected to help build a cornerstone for future smart manufacturing.Read moreRead less
Scale-up of catalytic furandicarboxylic acid production at room temperature. This project will use new knowledge acquired from our laboratory-scale discoveries to develop a new process feasible for industrial-scale production of 2,5-furandicarboxylic acid (FDCA). The method makes FDCA, a platform chemical for future chemical industry, from a completely renewable source derived from plant sugars, 5-hydroxymethyl-furfural. This is an essential process for production of biodegradable plastic from s ....Scale-up of catalytic furandicarboxylic acid production at room temperature. This project will use new knowledge acquired from our laboratory-scale discoveries to develop a new process feasible for industrial-scale production of 2,5-furandicarboxylic acid (FDCA). The method makes FDCA, a platform chemical for future chemical industry, from a completely renewable source derived from plant sugars, 5-hydroxymethyl-furfural. This is an essential process for production of biodegradable plastic from sugar that has not been commercialised. This technology will realise sizeable industrial-scale production of FDCA at low costs and without heating. The production development of this valuable commodity from renewable plant sugars will provide high-quality postgraduate training in future green chemical production methods.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE120100960
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Simulation and characterisation of the packing of uniform non-spherical particles. The effect of particle shape on the packing of uniform particles is a fundamental problem in the study of granular materials and is also related to other important scientific problems. This project aims to solve this problem by an innovative computer simulation method, using virtual but insightful numerical results to build solid theories.
Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that e ....Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that ensures plant-wide stability at any feasible set-points or references and a distributed economic model predictive control approach that coordinates autonomous controllers to achieve plant-wide economic objectives in a self-organising manner. The outcomes of this project are expected to form a process control framework for next-generation smart plants.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100208
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
An advanced computational facility based on a graphic processing unit for particulate research. The graphic processing unit (GPU) is becoming an engine for the next generation of supercomputers for scientific research. The technology at this new facility will be exploited to perform large-scale, real time simulations of complex particulate material processing which is critical to Australia’s mineral/metallurgical/material industries.