Using extreme conditions to synthesise new materials. This project aims to synthesise useful materials from non-crystalline light element precursors. Boron, carbon and nitrogen are the hardest known solids, and their ability to form many kinds of chemical bonds offers opportunities for attractive new materials. This project will apply high pressures and temperatures to non-crystalline precursor materials to access previously unobtainable synthesis conditions. This project will create strong and ....Using extreme conditions to synthesise new materials. This project aims to synthesise useful materials from non-crystalline light element precursors. Boron, carbon and nitrogen are the hardest known solids, and their ability to form many kinds of chemical bonds offers opportunities for attractive new materials. This project will apply high pressures and temperatures to non-crystalline precursor materials to access previously unobtainable synthesis conditions. This project will create strong and hard materials with tuneable optical and electronic properties. The expected outcome is new light materials that emit and detect light in the far ultraviolet for biological imaging and tough materials with low friction needed for motors and regenerative technologies.Read moreRead less
High efficiency dye-sensitised solar cells containing multiple sensitisers. This project aims to develop a new scalable approach suitable for industrial production of high efficiency dye-sensitised solar cells (DSCs) on both glass and flexible polymer substrates. The success of the project would be a breakthrough in DSC technology, bringing the technology a significant step closer to wide-spread commercial applications.
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
Two-dimensional nanomaterials for wearable zinc ion battery . The project aims to develop a new wearable battery system, based on advanced two-dimensional (2D) nanomaterials with robust energy storage performance and lifespan, for industrial application across the rapidly emerging industries of health monitoring, movement tracking, and smart clothing. The project addresses the critical challenges of control functionalization of advanced 2D nanomaterials for developing wearable energy storage. Th ....Two-dimensional nanomaterials for wearable zinc ion battery . The project aims to develop a new wearable battery system, based on advanced two-dimensional (2D) nanomaterials with robust energy storage performance and lifespan, for industrial application across the rapidly emerging industries of health monitoring, movement tracking, and smart clothing. The project addresses the critical challenges of control functionalization of advanced 2D nanomaterials for developing wearable energy storage. The research outcomes are expected to result in a scalable approach, a variety of advanced 2D nanomaterials, and wearable new battery system, which will bring significant economic and environmental, social, and cultural benefits to Australia and the world.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
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
Improved Capacitor Voltage Balance for Multicell Power Electronic Converters Controlled by Spectrally Optimal Modulation. There is a growing demand for high power and medium voltage energy conversion systems in a wide range of applications, including Rail, Renewable Energy, Defence and Electricity Distribution. Multicell-type multilevel converters are a very attractive means of satisfying this demand, but only if the cell voltages can be precisely regulated so as to ensure protection of the conv ....Improved Capacitor Voltage Balance for Multicell Power Electronic Converters Controlled by Spectrally Optimal Modulation. There is a growing demand for high power and medium voltage energy conversion systems in a wide range of applications, including Rail, Renewable Energy, Defence and Electricity Distribution. Multicell-type multilevel converters are a very attractive means of satisfying this demand, but only if the cell voltages can be precisely regulated so as to ensure protection of the converter while simultaneously ensuring the synthesis of switched waveforms with the required spectral quality. This project offers the potential to eliminate this barrier to the use of Multicell converter technology. In addition this project emphasises the development and training of people skilled in the design and development of this technology.Read moreRead less
Algorithms for change detection based on finite sample system identification theory. Detection of abrupt changes has many important applications. One particular application that will be investigated is leak detection in irrigation channels. As agriculture accounts for about 80% of Australia's water usage, the timely detection of leaks means that corrective actions can be taken early which will lead to large water savings and significant environmental benefits. The developed methods can be design ....Algorithms for change detection based on finite sample system identification theory. Detection of abrupt changes has many important applications. One particular application that will be investigated is leak detection in irrigation channels. As agriculture accounts for about 80% of Australia's water usage, the timely detection of leaks means that corrective actions can be taken early which will lead to large water savings and significant environmental benefits. The developed methods can be designed with any false alarm rate. This is important since frequent false alarms lead to wasted resources and operators will stop using the system. The technology once developed can be transferred to many other application areas such as urban water supplies, pipelines for oil and gas, and the process and manufacturing industries.Read moreRead less
Design of Large-Scale Interconnected Dynamical Systems. Our aim is to develop a theory for the design, analysis and operation of large-scale interconnected systems. In recent years there has been an explosive growth in the implementation and use of large-scale systems due to the ready availability of interconnection technology. However, there is no satisfactory systematic theoretical basis for identifying and quantifying potential advantages or pitfalls of large-scale interconnections. Several a ....Design of Large-Scale Interconnected Dynamical Systems. Our aim is to develop a theory for the design, analysis and operation of large-scale interconnected systems. In recent years there has been an explosive growth in the implementation and use of large-scale systems due to the ready availability of interconnection technology. However, there is no satisfactory systematic theoretical basis for identifying and quantifying potential advantages or pitfalls of large-scale interconnections. Several aspects of interconnected systems will be considered. For example, can large-scale systems composed of dynamical sub-systems linked through communication channels be systematically designed? How does overall system behaviour vary with scale and subsystem dynamics? Such questions are largely open and their resolution lies at the heart of this project.Read moreRead less