Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particl ....Computational modelling of nanofluids for industrial applications. The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particle clustering. Computational modelling and experimental investigations will be undertaken to identify the heat transfer mechanisms of various nanofluids. The outcomes of the work will increase knowledge on nanofluids and offer a significant opportunity to improve the efficiency of many thermal engineering systems.Read moreRead less
Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of ....Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of a futuristic power system with high penetration of PEDs. The intended outcomes will be a model and data jointly driven methodology for high-efficient and real-time stability assessment. The methodology developed in this project will support Australia's transition to a stable, secure, and low-carbon power grid.Read moreRead less
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
Extending Remaining Useful Life of Second-life Battery Energy Systems. The project aims to develop a framework to reuse second-life battery packs with different degradation levels. This includes a novel machine learning and online battery state estimation algorithm that does not require past use case historical data of the SLBs, an advanced control algorithm to balance the energy in each battery pack and an optimized modular inverter architecture with integrated voltage boosting capability to ma ....Extending Remaining Useful Life of Second-life Battery Energy Systems. The project aims to develop a framework to reuse second-life battery packs with different degradation levels. This includes a novel machine learning and online battery state estimation algorithm that does not require past use case historical data of the SLBs, an advanced control algorithm to balance the energy in each battery pack and an optimized modular inverter architecture with integrated voltage boosting capability to manage the batteries and meet the control objectives. This benefits not only the environment through delayed e-waste or recycling cycles but also helps the Australian manufacturing sector through a circular economy of energy products and services.Read moreRead less
Extending the lifetime of switching power converters. This project aims to address the need for longer lifespan of power conversion systems which can withstand failure of its key components. This is achieved through developing more reliable power converter circuits whilst reducing the stress of the components. This project will generate new circuit design and control techniques for power and energy systems, especially in dealing with reliability issues. Expected outcome of this project includes ....Extending the lifetime of switching power converters. This project aims to address the need for longer lifespan of power conversion systems which can withstand failure of its key components. This is achieved through developing more reliable power converter circuits whilst reducing the stress of the components. This project will generate new circuit design and control techniques for power and energy systems, especially in dealing with reliability issues. Expected outcome of this project includes reduction of failure rate of power converters by at least 50%. This should provide benefits for many sectors including emerging technologies in particular renewable energy, electric vehicles and energy storage systems seeking reliable power supply and for the environment with reduced e-waste production.Read moreRead less
Power system security assessment given massive intermittent energy sources. This project aims to develop new models and analysis methods to investigate the impact of massive intermittent energy sources (IESs) on the performance and security of power grids. Furthermore, advanced control strategies will be developed to enhance the security. The outcomes can provide useful guidelines to assist the Australian power industry and the government in realising the renewable energy target. Furthermore con ....Power system security assessment given massive intermittent energy sources. This project aims to develop new models and analysis methods to investigate the impact of massive intermittent energy sources (IESs) on the performance and security of power grids. Furthermore, advanced control strategies will be developed to enhance the security. The outcomes can provide useful guidelines to assist the Australian power industry and the government in realising the renewable energy target. Furthermore considering serious blackout can not only cause economic losses, but also larger disturbance in other critical infrastructure, this project also contributes to national security.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100044
Funder
Australian Research Council
Funding Amount
$412,944.00
Summary
Data-driven Wide-area System Strength Monitoring under Weak Grid Conditions. This project aims to investigate and evolve the system strength assessment framework to suit weak electricity grids with substantial renewable sources. It expects to develop a digitalized approach where comprehensive metric indices are estimated by an innovative data-driven system to realize real-time wide-area system strength assessment under weak grid conditions. Advanced methods will also be developed to bridge the g ....Data-driven Wide-area System Strength Monitoring under Weak Grid Conditions. This project aims to investigate and evolve the system strength assessment framework to suit weak electricity grids with substantial renewable sources. It expects to develop a digitalized approach where comprehensive metric indices are estimated by an innovative data-driven system to realize real-time wide-area system strength assessment under weak grid conditions. Advanced methods will also be developed to bridge the gap between data science and energy system applications. The new suite of next-gen metrics and data-driven techniques will offer the world’s most innovative renewable energy products with desired grid support capability and low system strength operability, that would smooth the transition towards low-carbon electricity future.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL160100032
Funder
Australian Research Council
Funding Amount
$2,527,475.00
Summary
Ultralow latency wireless systems. Ultralow latency wireless systems. This project aims to develop theories and practical methods to design wireless communication systems for future generations of internet services. Emerging smart environments and infrastructure could solve major problems facing the world today, by saving energy, reducing pollution, improving health and increasing road safety. However, scientists to date do not know how to build wireless networks with almost zero latency and ult ....Ultralow latency wireless systems. Ultralow latency wireless systems. This project aims to develop theories and practical methods to design wireless communication systems for future generations of internet services. Emerging smart environments and infrastructure could solve major problems facing the world today, by saving energy, reducing pollution, improving health and increasing road safety. However, scientists to date do not know how to build wireless networks with almost zero latency and ultrahigh reliability, needed for machine-to-machine communications. An expected outcome of this project is new criteria and methodologies to design such wireless systems, which would affect future wireless systems and grids.Read moreRead less