Regulation of the Cell Bus Voltages of Large Scale Modular Multilevel Converters: Advanced Energy Converters for Future Electricity Grids. Large scale power electronic converters are essential to the emerging “Smart Grid” electrical distribution networks, using large numbers of cascaded cells to operate at the very high voltages that are required for direct grid connection. At present, the fundamental factors that drive the fluctuations of the cell DC link voltages, including in particular the c ....Regulation of the Cell Bus Voltages of Large Scale Modular Multilevel Converters: Advanced Energy Converters for Future Electricity Grids. Large scale power electronic converters are essential to the emerging “Smart Grid” electrical distribution networks, using large numbers of cascaded cells to operate at the very high voltages that are required for direct grid connection. At present, the fundamental factors that drive the fluctuations of the cell DC link voltages, including in particular the complex non-linear interactions caused by the physical cell switching processes, are very poorly understood. This project will use a new harmonic analysis strategy to investigate the basic engineering science that underpins this voltage fluctuation phenomena, to achieve a quantum step in the understanding of the fundamental operating processes of large scale cascaded converters.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
Customer Centred Peer-to-Peer Energy Trading Framework for Future Grids. This project aims to develop a peer-to-peer (P2P) energy trading framework that facilitates cooperative and trustworthy energy trading directly among energy customers such as residents. By developing novel energy load monitoring and prediction techniques, a customer cooperation scheme and a privacy-preserving P2P energy market, this project expects to transform current energy networks to facilitate energy trading at the edg ....Customer Centred Peer-to-Peer Energy Trading Framework for Future Grids. This project aims to develop a peer-to-peer (P2P) energy trading framework that facilitates cooperative and trustworthy energy trading directly among energy customers such as residents. By developing novel energy load monitoring and prediction techniques, a customer cooperation scheme and a privacy-preserving P2P energy market, this project expects to transform current energy networks to facilitate energy trading at the edge of the grid and contribute to achievement of Australia’s net-zero emission target by 2050. The intended outcomes form this project include new science and knowledge of customer-side energy systems, new design philosophy and strategies for energy markets, and an open-source framework for prototype evaluation. Read moreRead less
Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interva ....Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interval-based adversarial training step. The project is expected to help data-driven Australian organisations and industries to better quantify and manage forecasting uncertainties. This project will provide them with significant cost savings through better decision making and more robust planning.Read moreRead less
The physics and biology of hearing in larval fish. Using the zebrafish model and an array of cutting-edge biophysics and neuroscience tools, this project aims to provide the first complete map of a functioning auditory system. This is significant because it has previously been impossible to study the brain at the levels of single cells, circuits, and brain-wide networks simultaneously. Expected outcomes include detailed descriptions of information flow through a simple brain and the ways that br ....The physics and biology of hearing in larval fish. Using the zebrafish model and an array of cutting-edge biophysics and neuroscience tools, this project aims to provide the first complete map of a functioning auditory system. This is significant because it has previously been impossible to study the brain at the levels of single cells, circuits, and brain-wide networks simultaneously. Expected outcomes include detailed descriptions of information flow through a simple brain and the ways that brain cells and circuits communicate to process information. Benefits include knowledge gained about sensory systems in nature, future biomimetic approaches for information processing, and the training of the next generation of Australian researchers in cutting edge optical physics and neuroscience.Read moreRead less
Advanced analytics utilising conjoint mining of data and content with applications in business, bio-medicine and electrical power systems. This project will provide techniques that enable effective analysis of unstructured content and related information from relational databases in a conjoint manner. These techniques will be applied in the business, bio-medicine and electrical power systems domains.
A systems materials engineering strategy for hybrid ion capacitors. This project aims to develop a data science-driven approach to allow the use of materials systems engineering strategy to quantify the cell-level design of electrochemical energy storage devices such as hybrid ion capacitors. The intended outcomes of this project include new dynamic equivalent circuit models and a new quantitative approach to make the electrodes pairing predictable and realise their optimal design against the ne ....A systems materials engineering strategy for hybrid ion capacitors. This project aims to develop a data science-driven approach to allow the use of materials systems engineering strategy to quantify the cell-level design of electrochemical energy storage devices such as hybrid ion capacitors. The intended outcomes of this project include new dynamic equivalent circuit models and a new quantitative approach to make the electrodes pairing predictable and realise their optimal design against the needs of the specific applications. It will also demonstrate a combined strategy of data science and discipline-specific experiments and theories to advance the emerging field of materials systems engineering. Read moreRead less
Multi-colour ultrashort soft X-ray pulses. This project aims to create multi-colour, ultrashort, highly coherent, bright pulses of soft X-rays based on high-harmonic generation in a table-top multiple-section gas cell. Studying multi-electronic and non-adiabatic processes and other fundamental aspects such as multi-electronic correlations and non-Born-Oppenheimer vibronic couplings in complex molecules is a major challenge in current ultrafast photochemistry research. This project will use multi ....Multi-colour ultrashort soft X-ray pulses. This project aims to create multi-colour, ultrashort, highly coherent, bright pulses of soft X-rays based on high-harmonic generation in a table-top multiple-section gas cell. Studying multi-electronic and non-adiabatic processes and other fundamental aspects such as multi-electronic correlations and non-Born-Oppenheimer vibronic couplings in complex molecules is a major challenge in current ultrafast photochemistry research. This project will use multiple driving pulses with different carrier frequencies to control the spectral properties and time delay of the pulses. It will use the soft X-ray source to develop an ideal platform for studying multi-electronic and non-adiabatic processes, multi-electronic correlations and non-Born-Oppenheimer vibronic couplings in complex molecules. This is expected to advance materials science, paving the way to soft X-ray technologies.Read moreRead less
Using anisotropic thermal expansion in organic semiconductor thin films. This project aims to capitalise upon the recent discovery of negative thermal expansion in high-performance organic semiconductor films. Certain molecules’ chemical structures have a planar conjugated core and flexible sidechains. When highly anisotropic thermal expansion occurs, the sidechains take up most of the thermal expansion. When a negative thermal expansion occurs, the pi-pi stacking distance decreases upon anneali ....Using anisotropic thermal expansion in organic semiconductor thin films. This project aims to capitalise upon the recent discovery of negative thermal expansion in high-performance organic semiconductor films. Certain molecules’ chemical structures have a planar conjugated core and flexible sidechains. When highly anisotropic thermal expansion occurs, the sidechains take up most of the thermal expansion. When a negative thermal expansion occurs, the pi-pi stacking distance decreases upon annealing. This effect has been linked with higher charge mobilities, and a tighter molecular packing is locked in upon cooling. The potential applications of these high performance organic semiconductors includes chemical/biosensors, electronic paper, and radio frequency identification cards.Read moreRead less
Nano-fibrous structure for high-performance organic photovoltaic thin films. This project aims to create nano-fibrous active thin films with high charge mobility for organic photovoltaic (OPV) devices, using a method inspired by molecular gelation. The significance of this project is that it addresses a major bottleneck, i.e. poor charge generation and transport, that limits the efficiency of OPV devices. The outcomes will provide insights into the crucial factors that affect the self-assembly o ....Nano-fibrous structure for high-performance organic photovoltaic thin films. This project aims to create nano-fibrous active thin films with high charge mobility for organic photovoltaic (OPV) devices, using a method inspired by molecular gelation. The significance of this project is that it addresses a major bottleneck, i.e. poor charge generation and transport, that limits the efficiency of OPV devices. The outcomes will provide insights into the crucial factors that affect the self-assembly of organic semiconducting materials, and the influences of nano-fibrous structure on the charge mobility and efficiency of an OPV device. The outcomes will greatly facilitate the development of highly efficient, lightweight and low-cost solar energy harvesting devices to reduce our carbon footprint.Read moreRead less