Discovery Early Career Researcher Award - Grant ID: DE200100661
Funder
Australian Research Council
Funding Amount
$426,551.00
Summary
Nanoparticle with Metal Organic Framework for Lithium Recovery from Brine. The project aims to develop technology enabling lithium to be cost-effectively extracted from brine. Today Australia meets the increasing demand for lithium by mining hardrock lithium, an environmentally damaging activity. An alternative is to source lithium from brine produced as industrial wastewater (in desalination or shale gas production). The main challenge that brine presents to selectively extracting lithium is co ....Nanoparticle with Metal Organic Framework for Lithium Recovery from Brine. The project aims to develop technology enabling lithium to be cost-effectively extracted from brine. Today Australia meets the increasing demand for lithium by mining hardrock lithium, an environmentally damaging activity. An alternative is to source lithium from brine produced as industrial wastewater (in desalination or shale gas production). The main challenge that brine presents to selectively extracting lithium is competing ions. By advancing knowledge of nanomaterials and membrane distillation, the project expects to overcome both this technical challenge and other practical challenges. From wastewater, the anticipated system will produce additional clean water and a valuable commodity that can offset the cost of water treatment. Read moreRead less
Disassembly Automation of End-of-Life Electric Vehicle Batteries. This project aims to develop an automated disassembly solution for End-of-Life (EOL) Electric Vehicle (EV) batteries, which is flexible and modular to handle the uncertainties associated with model changes, condition of the EOL battery packs as well as the projected volume growth. The outcome of this project will lead to a better separation of EV battery components and materials. This will allow recycling of EOL EV batteries with ....Disassembly Automation of End-of-Life Electric Vehicle Batteries. This project aims to develop an automated disassembly solution for End-of-Life (EOL) Electric Vehicle (EV) batteries, which is flexible and modular to handle the uncertainties associated with model changes, condition of the EOL battery packs as well as the projected volume growth. The outcome of this project will lead to a better separation of EV battery components and materials. This will allow recycling of EOL EV batteries with a higher material recovery efficiency and a lower cost due to the significantly reduced labor cost; hence substantially reduce the environmental footprint associated with EOL treatment of these batteries.Read moreRead less
Algal control using multi-functional, cold plasma activated microbubbles . Climate change is driving a proliferation of nuisance and harmful algal blooms in our water supply systems, which urgently require cost efficient and effective control strategies. Paradoxically, algal biotechnology is a growth industry with application in food, agriculture and energy; realising this potential requires state-of-the-art technology to optimise production, harvesting and extraction. The aim of this proposal i ....Algal control using multi-functional, cold plasma activated microbubbles . Climate change is driving a proliferation of nuisance and harmful algal blooms in our water supply systems, which urgently require cost efficient and effective control strategies. Paradoxically, algal biotechnology is a growth industry with application in food, agriculture and energy; realising this potential requires state-of-the-art technology to optimise production, harvesting and extraction. The aim of this proposal is to develop cutting edge technology that uses cold plasma activated microbubbles to control algal populations. We propose that by tuning the plasma composition, this technology could both selectively disrupt and destroy algal matter and enhance algal cell growth, benefiting both water and biotechnology industries. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100694
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Building resilience in wastewater infrastructure with self-healing bioconcrete. This project aims to develop a microbial self-healing bio-concrete to extend the service life of wastewater collection and treatment facilities. Water utilities worldwide struggle with asset management, because global warming and extreme weather age and corrode concrete infrastructure. This project will use microbially-induced calcium carbonate precipitation by bacteria to treat wastewater. The bacteria, added to bio ....Building resilience in wastewater infrastructure with self-healing bioconcrete. This project aims to develop a microbial self-healing bio-concrete to extend the service life of wastewater collection and treatment facilities. Water utilities worldwide struggle with asset management, because global warming and extreme weather age and corrode concrete infrastructure. This project will use microbially-induced calcium carbonate precipitation by bacteria to treat wastewater. The bacteria, added to bio-concrete, can fill cracks or reseal corroded areas by using organic substrates from wastewater to generate concrete, thus maintaining structural strength and preventing further damage. This project is expected to enhance the resilience and sustainability of wastewater infrastructure in ever more demanding environments.Read moreRead less
Sustainable production of chemicals and fuels from carbon dioxide. This project intends to deliver a cost-effective efficient bioelectrochemical process converting carbon dioxide (CO2) emissions into chemicals and fuels. Microbes are fascinating organisms giving us cheese, beer and wine. A special group of bacteria is even able to produce electricity from waste materials, or eat electricity to convert CO2 emissions into chemicals. This process has the potential to dramatically improve the sustai ....Sustainable production of chemicals and fuels from carbon dioxide. This project intends to deliver a cost-effective efficient bioelectrochemical process converting carbon dioxide (CO2) emissions into chemicals and fuels. Microbes are fascinating organisms giving us cheese, beer and wine. A special group of bacteria is even able to produce electricity from waste materials, or eat electricity to convert CO2 emissions into chemicals. This process has the potential to dramatically improve the sustainability of future chemical industry and environmental biotechnology. It has been shown that acetate, an important precursor in the chemical industry, can be produced in laboratory-scale reactors using selected microbial communities. The goal of the project is to engineer a process able to produce a broad range of biochemicals and biofuels from CO2 at high rates and high product concentrations.Read moreRead less
Advances in real-time satellite monitoring of flow in rivers and estuaries. This project plans to improve the monitoring of our waterways by developing a novel moving drifter system that takes flow and water quality measurements along the pathlines of the drifters. One of the key challenges for Australian water management lies in monitoring and managing rivers and estuaries effectively over large geographical areas. Traditionally, instrumentation at stationary points has been used for such monit ....Advances in real-time satellite monitoring of flow in rivers and estuaries. This project plans to improve the monitoring of our waterways by developing a novel moving drifter system that takes flow and water quality measurements along the pathlines of the drifters. One of the key challenges for Australian water management lies in monitoring and managing rivers and estuaries effectively over large geographical areas. Traditionally, instrumentation at stationary points has been used for such monitoring, under the simplifying assumption that a single point adequately represents a very large region of water. By contrast, the Real-Time Flow Logging of Water (RT-FLOW) system expects to provide information from large regions of our waterways, providing stakeholders with more information to enable them to better manage issues including storm surge and erosion. The project also aims to provide improved validation of hydrodynamic models.Read moreRead less
Understanding pollutant transport in estuaries and coastal rivers. By advancing pollutant transport modelling that use recent developments in drift sensors, this project aims to investigate water quality of estuaries and coastal rivers under pressure from urban growth. The project expects to generate a new capability for quantitative particle concentration predictions through detection and innovative analysis of Lagrangian Coherent Structures. The expected outcome is a new particle transport mod ....Understanding pollutant transport in estuaries and coastal rivers. By advancing pollutant transport modelling that use recent developments in drift sensors, this project aims to investigate water quality of estuaries and coastal rivers under pressure from urban growth. The project expects to generate a new capability for quantitative particle concentration predictions through detection and innovative analysis of Lagrangian Coherent Structures. The expected outcome is a new particle transport modelling framework and algorithms for shallow water systems, which effectively exploit extensive datasets becoming available from GPS-enabled drifters. This should provide significant benefits such as reliable assessment of possible effects of catchment and waterway changes on pollutant and sediment concentration which can impact waterway health.Read moreRead less
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less
Thermal isolation: a novel pathway to transforming complex waste. This project aims to establish a novel pathway for transforming complex waste otherwise destined for landfill into valuable products and resources. By leveraging high temperature reactions, the team plans to thermally isolate useful carbons and silica from within automotive shredder residue (ASR) in situ, to produce activated carbon products and silica layers, and so completely recycle this bulk toxic waste for the first time. Suc ....Thermal isolation: a novel pathway to transforming complex waste. This project aims to establish a novel pathway for transforming complex waste otherwise destined for landfill into valuable products and resources. By leveraging high temperature reactions, the team plans to thermally isolate useful carbons and silica from within automotive shredder residue (ASR) in situ, to produce activated carbon products and silica layers, and so completely recycle this bulk toxic waste for the first time. Such innovative new pathways for separating out valuable materials from complex and toxic wastes offer industries an alternative low-cost and sustainable source of raw materials, while reducing pressures on landfills and finite natural resources.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100042
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Virtual reality for planning of green urban water infrastructure. This project aims to research the planning-technical-social dynamics of Water Sensitive Urban Design (WSUD) infrastructure. WSUD management has become financially and logistically unsustainable due to major urban growth and a rapid uptake in WSUD assets. Solving this problem is, however, complex, as stakeholders have conflicting needs and tacit knowledge that is difficult to quantify. Using emerging virtual reality technology, par ....Virtual reality for planning of green urban water infrastructure. This project aims to research the planning-technical-social dynamics of Water Sensitive Urban Design (WSUD) infrastructure. WSUD management has become financially and logistically unsustainable due to major urban growth and a rapid uptake in WSUD assets. Solving this problem is, however, complex, as stakeholders have conflicting needs and tacit knowledge that is difficult to quantify. Using emerging virtual reality technology, participatory planning and operational models, this project intends to improve WSUD modelling science through integrated modelling. The anticipated outcome is more holistic and economically efficient planning of WSUD layouts in future cities. This is expected to address growing concerns about adequately managing these systems and ensure that they deliver intended environmental protection, liveability and public health benefits.Read moreRead less