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
Novel test and design methods for base course reinforced flexible pavements. This project aims to develop the mechanics of geosynthetic-reinforced flexible pavements as an urgent need for the Australian pavement industry to build more sustainable and economical roads. Novel laboratory test apparatus and in-situ test programs, and mathematical models will be developed, for the first time, to capture the responses of reinforced base courses in a complete and optimised way to determine the paramete ....Novel test and design methods for base course reinforced flexible pavements. This project aims to develop the mechanics of geosynthetic-reinforced flexible pavements as an urgent need for the Australian pavement industry to build more sustainable and economical roads. Novel laboratory test apparatus and in-situ test programs, and mathematical models will be developed, for the first time, to capture the responses of reinforced base courses in a complete and optimised way to determine the parameters for pavement design and performance evaluation. The outcomes will enable reliable prediction of reinforced pavement behaviour, leading to better-performing geosynthetic products and more resilient pavements, reduced material usage and damage in pavements, and less environmental impact and maintenance cost.Read moreRead less
Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expect ....Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expected outcomes include protocol to accurately monitor emissions, models to predict emission under various conditions, and mitigation guideline for typical plant configurations. The anticipated benefit is a significant reduction in GHG emissions from urban water industry and support it to meet net-zero-emission goal by 2050.Read moreRead less
Reinforced crumbed rubber concrete for residential construction. Reinforced crumbed rubber concrete for residential construction. This project aims to use crumb rubber from used tyres to replace natural sand aggregate in concrete used in housing construction. Globally, very few of the millions of tyres discarded annually are recycled, while natural sand used in concrete is being depleted. This project intends to provide the tyre industry with a viable market for end of life tyres, and the premix ....Reinforced crumbed rubber concrete for residential construction. Reinforced crumbed rubber concrete for residential construction. This project aims to use crumb rubber from used tyres to replace natural sand aggregate in concrete used in housing construction. Globally, very few of the millions of tyres discarded annually are recycled, while natural sand used in concrete is being depleted. This project intends to provide the tyre industry with a viable market for end of life tyres, and the premix concrete industry with a “green” product for the residential construction market. Expected benefits include the increased use of a waste resource (used tyres), reduced use of a scarce natural resource (sand), and the development of an economic but green alternative concrete option for residential builders and owners.Read moreRead less
Understanding and predicting submarine hydrofoil noise. Australia needs to develop a more sophisticated underwater flow-induced noise research and development capability if it is to achieve its ambitious naval plans set out under the Defence White Paper. This project will develop an experimentally validated model to predict submarine noise for the purposes of submarine design, operation and procurement.
Role of alanine aminotransferase in improved nitrogen use efficiency (NUE) in cereals. The use of nitrogen-based fertilisers by crop plants is poor where efficiencies (nitrogen taken up to that applied) is often less than 40%. Nitrogen not used is often lost to the environment through leaching and or volatilisation. Improving nitrogen use efficiency (NUE) in agriculture will decrease overall nitrogen fertiliser use and minimise its environmental footprint. This project will characterise a nov ....Role of alanine aminotransferase in improved nitrogen use efficiency (NUE) in cereals. The use of nitrogen-based fertilisers by crop plants is poor where efficiencies (nitrogen taken up to that applied) is often less than 40%. Nitrogen not used is often lost to the environment through leaching and or volatilisation. Improving nitrogen use efficiency (NUE) in agriculture will decrease overall nitrogen fertiliser use and minimise its environmental footprint. This project will characterise a novel NUE technology that when transferred to plants significantly improves NUE. We will define the phenotype at the molecular, biochemical and physiological levels to maximise its adoption to other agricultural crops such as wheat, barley and maize.Read moreRead less
Protein biosensors for detecting smoke exposure of grapes. Bush fires and controlled burns that take place in the vicinity of vineyards can lead to grape contamination with tasteless phenolic glucosides. Their hydrolysis during wine making leads to “smoke taint” – an unpleasant medicinal taste that can render wine undrinkable. We will apply a combination of organic synthesis, protein engineering and directed evolution to develop protein-based biosensors of phenolic glucosides. These biosensors w ....Protein biosensors for detecting smoke exposure of grapes. Bush fires and controlled burns that take place in the vicinity of vineyards can lead to grape contamination with tasteless phenolic glucosides. Their hydrolysis during wine making leads to “smoke taint” – an unpleasant medicinal taste that can render wine undrinkable. We will apply a combination of organic synthesis, protein engineering and directed evolution to develop protein-based biosensors of phenolic glucosides. These biosensors will be used to devise a simple portable colorimetric test that can be performed in the vineyard or the winery. The ability to rapidly determine the level of grape contamination with phenolic glucosides would give Australian wine growers and wine makers a powerful tool to mitigate the effects of bushfires.Read moreRead less
Controlling arsenic to unlock value in gold and copper resources. This project aims to characterise the transformation of arsenic between oxidation states during mineral processing. Up to one third of the world’s gold reserves are locked up in arsenic rich minerals and 5000 tonnes of arsenic is released annually from mine waste. The project will enable the development of process technology that immobilises and removes arsenic at the earliest possible stage. The use of novel time-resolved in-situ ....Controlling arsenic to unlock value in gold and copper resources. This project aims to characterise the transformation of arsenic between oxidation states during mineral processing. Up to one third of the world’s gold reserves are locked up in arsenic rich minerals and 5000 tonnes of arsenic is released annually from mine waste. The project will enable the development of process technology that immobilises and removes arsenic at the earliest possible stage. The use of novel time-resolved in-situ techniques proposed in this research will give vital information of the complex chemical pathways involved during processing which current characterization methods on pre- and post-processed species do not achieve.Read moreRead less