Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in ....Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in Australia's electricity distribution network planning and operation by considering future challenges such as integrating battery storage and electric vehicles into the grid, and thus providing reliable energy. The project expects to train next generation expert workforce for Australia's future power grid.Read moreRead less
Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and be ....Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and better use of renewable energy sources, with significant cost savings for railways and the wider community.Read moreRead less
Transforming Microgrid to Virtual Power Plant –ICT Frameworks,Tools,Control. The project aims to enhance large scale renewable penetrations to national power grid by advancing control, optimization, and ancillary services of Virtual Power Plants (VPPs), considering different disruptive events including recent South Australian blackout. This project expects to create new control, frame communication architecture, develop plug and play type IoT enabled grid interfacing inverter, and optimize resou ....Transforming Microgrid to Virtual Power Plant –ICT Frameworks,Tools,Control. The project aims to enhance large scale renewable penetrations to national power grid by advancing control, optimization, and ancillary services of Virtual Power Plants (VPPs), considering different disruptive events including recent South Australian blackout. This project expects to create new control, frame communication architecture, develop plug and play type IoT enabled grid interfacing inverter, and optimize resource management for distributed VPPs. The anticipated benefits from this institutional level collaborations are that VPPs help in enhancing national power grid operations during normal and disruptive conditions when more renewables are connected and also secure benefits of consumers, prosumers, and grid operators.Read moreRead less
CropVision: A next-generation system for predicting crop production. Accurate and timely production estimates are essential to Australia’s grain producers and industry to better deal with down side risk caused by climate extremes and market volatilities. However, current systems for predicting crop production are inaccurate and unreliable. This project aims to develop a next generation system for advance and high accuracy predictions for yield, crop type and area at field scale. This will be don ....CropVision: A next-generation system for predicting crop production. Accurate and timely production estimates are essential to Australia’s grain producers and industry to better deal with down side risk caused by climate extremes and market volatilities. However, current systems for predicting crop production are inaccurate and unreliable. This project aims to develop a next generation system for advance and high accuracy predictions for yield, crop type and area at field scale. This will be done by integrating the state of the art global climate models (GCM), biophysical crop modelling, and high-resolution earth observation technologies. This project will deliver a next generation crop prediction system to predict crop production at field scale for improved decision-making and enhancing resilience.Read moreRead less
Building Australia's Electric Vehicle Fast Charging Infrastructure. This project aims to enhance the resilience, safety, and efficiency of electricity grids operated with fast-charging Electric Vehicles (EVs) by developing new control and optimisation frameworks. This project expects to develop new robust controllers for EV fast-charging infrastructure operated in coordination with wind and solar generated electricity. Expected project outcomes include enabling fast-charge EV infrastructure to b ....Building Australia's Electric Vehicle Fast Charging Infrastructure. This project aims to enhance the resilience, safety, and efficiency of electricity grids operated with fast-charging Electric Vehicles (EVs) by developing new control and optimisation frameworks. This project expects to develop new robust controllers for EV fast-charging infrastructure operated in coordination with wind and solar generated electricity. Expected project outcomes include enabling fast-charge EV infrastructure to be developed and deployed in Australia by the industry partner SwitchDin. Expected benefits including enabling significant reduction in carbon emissions from the transportation sector, accelerating the energy transition to renewables, and placing Australian industry at the forefront of EV grid integration technology.Read moreRead less
Enhancing Genomic Prediction for Changing Environments in Wheat. Adverse weather is the primary risk faced by the Australian agriculture industry. This Project aims to develop the next generation of agriculture tools to unlock natural potential in wheat and improve yield stability across seasons and regions. Drawing on crop physiology, genetics and integrated modelling, this Project expects to generate new knowledge and technologies to untangle genetic and environmental interactions that affect ....Enhancing Genomic Prediction for Changing Environments in Wheat. Adverse weather is the primary risk faced by the Australian agriculture industry. This Project aims to develop the next generation of agriculture tools to unlock natural potential in wheat and improve yield stability across seasons and regions. Drawing on crop physiology, genetics and integrated modelling, this Project expects to generate new knowledge and technologies to untangle genetic and environmental interactions that affect productivity, enhance predictive capability, and initiate advanced breeding strategies to develop new crop varieties with superior resilience against changing climates. This should provide significant benefits, such as profit stability for wheat growers, elevated global market position and improved food security.Read moreRead less
Preventing railway suicide: An open-systems perspective. Preventing railway suicide: An open-systems perspective. This project aims to develop an automated suicide risk detection system to reduce the incidence and impact of railway suicide, which has a devastating effect on victims’ families, station staff, train drivers, emergency workers, and bystanders. This project will use open-systems theory to develop two complementary information systems for more effective detection and reporting of suic ....Preventing railway suicide: An open-systems perspective. Preventing railway suicide: An open-systems perspective. This project aims to develop an automated suicide risk detection system to reduce the incidence and impact of railway suicide, which has a devastating effect on victims’ families, station staff, train drivers, emergency workers, and bystanders. This project will use open-systems theory to develop two complementary information systems for more effective detection and reporting of suicide risk; use these systems to investigate how different situational factors interact with different combinations of service interventions to influence suicide risk; and share the findings to reduce railway suicide in Australia and overseas.Read moreRead less
In-situ catalytic upgrading of bio-oil using scrap tyre char. This project aims to develop advanced, cost-competitive catalysts based on scrap tyre char, an otherwise low-value by-product. These catalysts will be optimised for use in upgrading bio-oil derived from the pyrolysis of woody eucalyptus, an abundant biomass resource across Australia. The project is expected to promote the commercialisation of bio-oil production and enhance the valorisation of scrap tyre char. This is expected to reduc ....In-situ catalytic upgrading of bio-oil using scrap tyre char. This project aims to develop advanced, cost-competitive catalysts based on scrap tyre char, an otherwise low-value by-product. These catalysts will be optimised for use in upgrading bio-oil derived from the pyrolysis of woody eucalyptus, an abundant biomass resource across Australia. The project is expected to promote the commercialisation of bio-oil production and enhance the valorisation of scrap tyre char. This is expected to reduce the carbon footprint from Australian industry, and promote the recycling and reuse of waste scrap tyres.Read moreRead less
Big data modelling to forecast crop yield to enable precision fertilisation. This project aims to lay a foundation for a generic data-driven approach to more precise management of our agricultural landscapes. A multitude of agriculture-related data streams are now available to growers to characterise their yield, management, soil and weather. However, currently there is no approach able to digest all these disparate data streams to enable a management decision. The project will develop an appro ....Big data modelling to forecast crop yield to enable precision fertilisation. This project aims to lay a foundation for a generic data-driven approach to more precise management of our agricultural landscapes. A multitude of agriculture-related data streams are now available to growers to characterise their yield, management, soil and weather. However, currently there is no approach able to digest all these disparate data streams to enable a management decision. The project will develop an approach to harness all of these data streams to guide spatially variable applications of nitrogen fertilisers with a focus on grains cropping. This should provide the opportunity to allocate fertiliser inputs as required at fine spatial scales according to local soil and weather conditions to maximise profit and minimise off-farm impacts of excessive fertilisation.Read moreRead less
Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the ....Thermal Optimisation of Gigascale Solar Photovoltaics. Large-scale solar photovoltaics are critical to decarbonising the global economy. Sun Cable is developing the world’s largest solar farm in the Northern Territory, and is considering deploying the 5B MAV solar array. At this scale, temperature-induced panel efficiency losses represent a major challenge that must be overcome through thermal performance optimisation. We will build sophisticated multiscale models to simulate and understand the multiple interacting phenomena that cause panel heating, for the first time. This project will create the tools and know-how to optimise array design and solar farm development, delivering major efficiency gains and enhancing the viability of future gigascale solar projects.Read moreRead less