Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, display ....Fast Signal Processing and Control Algorithms for Complex Hierarchical Systems. Complex dynamical behaviour is inherent to many real-world systems including telecommunications networks, financial markets and biological systems. High performance signal processing and control algorithms for such large-scale, complex systems are computationally very expensive in general. An important class of large-scale Markovian models arising in many applications shows a remarkable hierarchical property, displaying strong interactions within certain clusters of states and weak interactions among these clusters. By utilizing this property, the proposed project will design and analyze novel reduced-complexity signal processing and control algorithms with rigorous performance guarantees. In addition, this project will explore possibilities of making these algorithms hierarchical such that they are easy to implement through decentralization.Read moreRead less
Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant wea ....Towards Distributed Phased Array Radar for High Resolution Weather Monitoring. Several recent reports on climate change by leading international and national bodies forecast that the rate of weather hazards such as storms and wind-shear, and of weather-associated phenomena such as bush fires will increase over the next 40 years. The current technology for monitoring weather events, and effects like wind-shift, which has a serious impact on dangers associated with bush fires, has significant weaknesses. We will deliver considerable improvements in monitoring capability by developing the technology for using a network of small phased array radars. We aim to place monitoring resources where end-user needs are greatest.Read moreRead less
Glaucoma is the second leading cause of blindness in the world affecting approximately 70 million people. Glaucoma can occur at any age but the commonest type occurs in middle to old age. The disease has a genetic basis and can be inherited. As a result we have been studying the genetics of the disease in two large families from Tasmania. We hope to identify the genes involved in disease causation using a number of genetic techniques. Once mutations in a disease gene have been identified from af ....Glaucoma is the second leading cause of blindness in the world affecting approximately 70 million people. Glaucoma can occur at any age but the commonest type occurs in middle to old age. The disease has a genetic basis and can be inherited. As a result we have been studying the genetics of the disease in two large families from Tasmania. We hope to identify the genes involved in disease causation using a number of genetic techniques. Once mutations in a disease gene have been identified from affected individuals we will then be in a position to look for mutations in other family members and identify those individuals at risk of developing disease. Improvements in our understanding of how these genes are involved in disease causation will allow us to offer diagnostic testing to the wider community and develop better therapeutic interventions for treatment.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100467
Funder
Australian Research Council
Funding Amount
$477,237.00
Summary
A More Sustainable High-speed Drive System for Air Conditioning Systems. The project aims to develop an environmentally & strategically sustainable high-speed drive system for the heating, ventilation, and air conditioning (HVAC) systems. A novel rare-earth-less high-speed electric motor (70k rpm) will be designed and experimentally validated. The outcomes will help to mitigate the potential rare earth crisis faced by the HVAC and other industries by significantly reducing the rare earth permane ....A More Sustainable High-speed Drive System for Air Conditioning Systems. The project aims to develop an environmentally & strategically sustainable high-speed drive system for the heating, ventilation, and air conditioning (HVAC) systems. A novel rare-earth-less high-speed electric motor (70k rpm) will be designed and experimentally validated. The outcomes will help to mitigate the potential rare earth crisis faced by the HVAC and other industries by significantly reducing the rare earth permanent magnets used in their drive systems. The design will also enable Conry Tech's HVAC products to use greener refrigerants with extremely low impact on global warming and improve its system efficiency. This project's success will help revive advanced manufacturing of premium HVAC and electric motor products in Australia.Read moreRead less
Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as ....Stochastic Sensor Scheduling in Statistical Signal Processing. In several statistical signal processing applications, due to computational or communication constraints, at each time instant one can use only a few out of several possible noisy (stochastic) sensors. The stochastic sensor scheduling problem deals with how to dynamically choose which group of sensors to pick at each time instant. This project involves research in sensor scheduling for widely used stochastic dynamical systems such as Hidden Markov Models and Jump Markov Linear Systems. It focuses on the design and analysis of stochastic control algorithms such as dynamic programming and simulation based randomized methods. The research will lead to an integrated theory incorporating stochastic control, statistical signal processing and combinatorial optimization. We will also apply the resulting techniques to tracking maneuvering targets given noisy observations.Read moreRead less
Capacity Enhancement, Energy-Loss Reduction and Voltage Control for Remote Three-Phase Distribution Feeders Supplying Electrical Power to Single-Wire Earth-Return Systems. Long distribution feeders supplying electrical energy to Single-Wire Earth-Return (SWER) systems are unique sub-systems of the electric power network in Australia. The SWER systems are inherently unbalanced and use conductors with high resistance values resulting in high energy losses. The capital costs of these systems are hi ....Capacity Enhancement, Energy-Loss Reduction and Voltage Control for Remote Three-Phase Distribution Feeders Supplying Electrical Power to Single-Wire Earth-Return Systems. Long distribution feeders supplying electrical energy to Single-Wire Earth-Return (SWER) systems are unique sub-systems of the electric power network in Australia. The SWER systems are inherently unbalanced and use conductors with high resistance values resulting in high energy losses. The capital costs of these systems are high due to the low area density of loads and the systems are challenged by increasing loads. New methods will be developed for load balancing, controlling losses and improving the power quality. Comparisons will be made between the new technologies and the reconstruction or augmentation of the feeders. It is expected that substantial economic and greenhouse emission benefits will result.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100046
Funder
Australian Research Council
Funding Amount
$439,454.00
Summary
Reliable Integration of Distributed Low-Carbon Energy Resources. This project aims to generate new knowledge that will facilitate the integration of low-carbon distributed energy resources into electricity grids. This project expects to advance the theory, algorithms, and methods in the area of smart grids using innovative approaches of optimisation and data analytics. Expected outcomes of this project include novel algorithms and tools to enable the reliable integration of low-carbon distribute ....Reliable Integration of Distributed Low-Carbon Energy Resources. This project aims to generate new knowledge that will facilitate the integration of low-carbon distributed energy resources into electricity grids. This project expects to advance the theory, algorithms, and methods in the area of smart grids using innovative approaches of optimisation and data analytics. Expected outcomes of this project include novel algorithms and tools to enable the reliable integration of low-carbon distributed energy resources and unlock their value in electricity grids. This should provide significant benefits, such as affordable electricity for Australian consumers, improvements in the reliability of grids in Australia, and increased and more effective use of sustainable energy for emission reduction.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0883074
Funder
Australian Research Council
Funding Amount
$600,000.00
Summary
Distributed Generation Evaluation Facility and Power Control. The development and demonstration of Distributed Energy Resource solutions will assist the deployment of greenhouse gas reduction strategies and of reliability improvements with particular benefits for rural and remote electricity supply. Small generation units can be the best solution for some reliability and voltage support issues in rural/remote networks. The research will show how these can be operated and the benefits achievable ....Distributed Generation Evaluation Facility and Power Control. The development and demonstration of Distributed Energy Resource solutions will assist the deployment of greenhouse gas reduction strategies and of reliability improvements with particular benefits for rural and remote electricity supply. Small generation units can be the best solution for some reliability and voltage support issues in rural/remote networks. The research will show how these can be operated and the benefits achievable for sources including renewables in a manner that is accessible to communities and with a rigorous set of test scenarios that will satisfy concerns from utilities. The flexible system nature is the significant development previously unavailable to researchers/developers.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
Novel Partial Discharge Detection Technique based on an Overhead Transmission Line Sensing Architecture. Overhead power transmission systems are a common instigator of fires through the production of sparks from faulty insulators. Australia is experiencing extended hot and dry conditions that amplify the risk of these events becoming large scale bushfires, causing millions of dollars of damage and destroying immeasurable amounts of native flora and fauna. The overhead transmission line sensing ....Novel Partial Discharge Detection Technique based on an Overhead Transmission Line Sensing Architecture. Overhead power transmission systems are a common instigator of fires through the production of sparks from faulty insulators. Australia is experiencing extended hot and dry conditions that amplify the risk of these events becoming large scale bushfires, causing millions of dollars of damage and destroying immeasurable amounts of native flora and fauna. The overhead transmission line sensing system proposed in this research will provide power companies with a cost effective insulator condition monitoring tool to continually survey Australia's aging electrical infrastructure. This ensures a reliable electricity supply to consumers, while also protecting the ecosystems of Australia's bushland. Read moreRead less