Smart site investigation for offshore energy installations in sand . This project aims to develop a next generation tool for seabed site investigations. It will use free-fall penetrometers, advanced physical modelling and novel probabilistic methods to investigate fundamental science of sand responses at low stress level and generate new interpretation methods. Outcomes of this project include a scientific framework to predict soil design parameters at unsampled seabed locations. A game changer ....Smart site investigation for offshore energy installations in sand . This project aims to develop a next generation tool for seabed site investigations. It will use free-fall penetrometers, advanced physical modelling and novel probabilistic methods to investigate fundamental science of sand responses at low stress level and generate new interpretation methods. Outcomes of this project include a scientific framework to predict soil design parameters at unsampled seabed locations. A game changer in offshore site investigations, the project will provide cheaper and faster geotechnical site investigation in sand at a time of global increase in offshore energy installations (worth 4 trillion over the next decade).Read moreRead less
Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibratio ....Machine Learning and Shape Optimisation of Fluid-Structure Interactions. This project aims to address vibrations of solid structures by utilising a combination of advanced experimental and computational methods. This project expects to generate new knowledge in the area of flow-induced vibrations utilising the new techniques of machine learning and evolutionary shape optimisation. Expected outcomes of this project include greatly accelerated discovery of mechanisms leading to structural vibrations and optimising structure geometries to either enhance or suppress the vibrations. This should provide significant benefits, such as the design strategies for improved energy harvesters, such as current oscillators, or more stable structures, such as platforms for offshore wind turbines.
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Discovery Early Career Researcher Award - Grant ID: DE200101650
Funder
Australian Research Council
Funding Amount
$412,700.00
Summary
Intelligent active control of flow-induced vibration. This project aims to develop advanced and effective control methods using an innovative interdisciplinary approach for flow-induced vibration for a wide range of generic elements of engineering structures. This project expects to generate new scientific knowledge of fluid-structure interaction that is essential for the prediction and control of flow-induced vibration. The expected outcomes of this project are artificial intelligence based act ....Intelligent active control of flow-induced vibration. This project aims to develop advanced and effective control methods using an innovative interdisciplinary approach for flow-induced vibration for a wide range of generic elements of engineering structures. This project expects to generate new scientific knowledge of fluid-structure interaction that is essential for the prediction and control of flow-induced vibration. The expected outcomes of this project are artificial intelligence based active control methods for flow-induced vibration. Ultimately, this project should provide significant benefits, such as advances in scientific knowledge and improved technologies for the areas of energy, transport, buildings and infrastructure.Read moreRead less
Enhancing passive cooling using flexible baffles. The project aims to develop a novel passive strategy using fluid-structure-thermal interactions to enhance passive cooling by natural convection and improve the energy efficiency of engineering systems. Comparing to the existing strategies, the new strategy does not require driving fan or pump and is quiet, reliable, self-adaptive and economical. The Multiphysics embodied in the proposal is at the leading edge of the field. Expected outcomes incl ....Enhancing passive cooling using flexible baffles. The project aims to develop a novel passive strategy using fluid-structure-thermal interactions to enhance passive cooling by natural convection and improve the energy efficiency of engineering systems. Comparing to the existing strategies, the new strategy does not require driving fan or pump and is quiet, reliable, self-adaptive and economical. The Multiphysics embodied in the proposal is at the leading edge of the field. Expected outcomes include advanced understanding of the complex Multiphysics and design rules for enhancing passive cooling by natural convection using flexible baffles. The research is expected to bring direct economic benefit to relevant industry and significant environmental and social benefit to the general public.Read moreRead less
Resolving the impact of pressure on hot and low-oxygen combustion. Despite the important role of renewable energy sources, combustion will remain essential for transportation into the foreseeable future. This project aims to investigate flames burning in a hot and low-oxygen environment. The objective is to better understand how these conditions could be applied to gas turbines. This project expects to generate new knowledge to enable a reduction in emissions, improvement in efficiency and incre ....Resolving the impact of pressure on hot and low-oxygen combustion. Despite the important role of renewable energy sources, combustion will remain essential for transportation into the foreseeable future. This project aims to investigate flames burning in a hot and low-oxygen environment. The objective is to better understand how these conditions could be applied to gas turbines. This project expects to generate new knowledge to enable a reduction in emissions, improvement in efficiency and increase in power output. Expected outcomes of this project include improved understanding of the governing physics to enable development of design tools for next-generation engines. This should provide significant benefits, such as reduced reliance on fossil fuels and a critical reduction in greenhouse gas emissions.Read moreRead less
Engineering Nanoionic Interfaces towards High Performance Cathode Coatings. This project aims to develop novel cathode coating materials towards more durable and powerful energy storage devices. Lithium ion battery will be constructed based on perovskite oxides to provide high capacity and stability for potential applications in electric cars, mobile phones and internet of things. The project will address fundamental challenges in this field by developing high voltage cathode coated with nanoion ....Engineering Nanoionic Interfaces towards High Performance Cathode Coatings. This project aims to develop novel cathode coating materials towards more durable and powerful energy storage devices. Lithium ion battery will be constructed based on perovskite oxides to provide high capacity and stability for potential applications in electric cars, mobile phones and internet of things. The project will address fundamental challenges in this field by developing high voltage cathode coated with nanoionic thin layers. Combined with new materials fabrication techniques and innovative strain engineering, the expected outcome is high performance cathodes with enhanced rate capability and cycling life, low fabrication cost and production scalability.
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Discovery Early Career Researcher Award - Grant ID: DE200101103
Funder
Australian Research Council
Funding Amount
$397,286.00
Summary
Stable Lithium-Sodium Metal Anodes for Rechargeable Alkali Metal Batteries. The project aims to address the safety issues derived from the dendritic growth and volume variation of alkali metal anodes, which are a challenge for the practical application of rechargeable alkali metal batteries. This project seeks to design a novel 3D lithium/sodium host featuring a lithiophilic-lithiophobic gradient interfacial layer to achieve uniform deposition and structural stability. The expected outcome of th ....Stable Lithium-Sodium Metal Anodes for Rechargeable Alkali Metal Batteries. The project aims to address the safety issues derived from the dendritic growth and volume variation of alkali metal anodes, which are a challenge for the practical application of rechargeable alkali metal batteries. This project seeks to design a novel 3D lithium/sodium host featuring a lithiophilic-lithiophobic gradient interfacial layer to achieve uniform deposition and structural stability. The expected outcome of this project is to successfully develop alkali metal batteries that are stable, safe and have high energy density. This project should have significant benefits such as the advancement of knowledge in alkali metal batteries and strengthen Australia’s competitiveness in the area of next-generation energy storage technologies.Read moreRead less
Defect control for high-performance green kesterites energy materials. This project will tackle the fundamental challenge of defect control of the quaternary compound kesterite, revolutionizing the way we can understand the hidden defect-evolution process and design accordingly effective defect-control approaches. This will be realized by a systematic approach integrating multiscale materials characterization, process and materials modeling, and linking microscopic local chemical potential and m ....Defect control for high-performance green kesterites energy materials. This project will tackle the fundamental challenge of defect control of the quaternary compound kesterite, revolutionizing the way we can understand the hidden defect-evolution process and design accordingly effective defect-control approaches. This will be realized by a systematic approach integrating multiscale materials characterization, process and materials modeling, and linking microscopic local chemical potential and macroscopic processing conditions, and associated compound properties and device performance to control defects evolution. Successfully achieved, this project will realize full potential of kesterite in photovoltaic and photoelectrochemical applications, and leading to new discoveries in other compound energy materials.Read moreRead less
Advanced multivariable nonlinear control methodology for matrix converters. The aim of this project is to explore a specific multivariable nonlinear control design problem. Motivation for the project arises from the control of Matrix Converters. Matrix Converters are considered one of the key enabling technologies for the electric transport of the future. However, their penetration into practice has fallen short of their promise. This is, in part, due to the associated control design problem whi ....Advanced multivariable nonlinear control methodology for matrix converters. The aim of this project is to explore a specific multivariable nonlinear control design problem. Motivation for the project arises from the control of Matrix Converters. Matrix Converters are considered one of the key enabling technologies for the electric transport of the future. However, their penetration into practice has fallen short of their promise. This is, in part, due to the associated control design problem which is extremely difficult involving coupled nonlinear dynamics and under-actuation. We plan to address these problems by using modern control system design methods. Our specific goal is to achieve a provably stable, closed loop control system whose performance is independent of unmeasured disturbances and model errors.Read moreRead less
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