Performance enhancement of tidal turbine arrays. Performance enhancement of tidal turbine arrays. This project aims to understand the environmental impact of turbines, by studying how an optimised array of turbines interacts with the downstream turbulent tidal flow. Tidal power could contribute substantially to Australia's Renewable Energy goals. Australia's coastlines produce over 2.4 terajoules of tidal energy, and research into turbine optimisation, array design and environmental impact is ne ....Performance enhancement of tidal turbine arrays. Performance enhancement of tidal turbine arrays. This project aims to understand the environmental impact of turbines, by studying how an optimised array of turbines interacts with the downstream turbulent tidal flow. Tidal power could contribute substantially to Australia's Renewable Energy goals. Australia's coastlines produce over 2.4 terajoules of tidal energy, and research into turbine optimisation, array design and environmental impact is needed to exploit this potential. Fluid dynamics and optimisation researchers will design an improved vertical axis tidal turbine for use in the Torres Strait Islands. This project could improve tidal turbine design and turbine placement designs, and improve understanding of interactions between turbines and the maritime environment.Read moreRead less
Flow-induced vibration of slender structures and its control. This project aims to expand substantially the state of knowledge on the flow-induced vibrations of bluff, slender structures such as cylinders, beams, and cables. A framework is expected to be developed that describes the flow-induced vibration of these structures systematically, adding new data and drawing links between previously disparate areas of research. The significance of such a framework is great, as not only is flow-induced ....Flow-induced vibration of slender structures and its control. This project aims to expand substantially the state of knowledge on the flow-induced vibrations of bluff, slender structures such as cylinders, beams, and cables. A framework is expected to be developed that describes the flow-induced vibration of these structures systematically, adding new data and drawing links between previously disparate areas of research. The significance of such a framework is great, as not only is flow-induced vibration a problem in many engineering applications (such as marine oil risers, chimneys, and bridges) it can also be exploited for renewable energy generation. Control mechanisms are also expected to be developed to maximise the energy generation potential.Read moreRead less
Solutions for rapid penetration into sand for offshore energy installations. This project aims to develop a fundamental understanding of the response of saturated sand in seabeds during rapid penetration by offshore site investigation tools and foundation construction. The research is using innovative physical and advanced numerical modelling techniques to quantify the significant increase in sand resistance caused by rapid penetration, enabling reliable design and reducing risk of material fail ....Solutions for rapid penetration into sand for offshore energy installations. This project aims to develop a fundamental understanding of the response of saturated sand in seabeds during rapid penetration by offshore site investigation tools and foundation construction. The research is using innovative physical and advanced numerical modelling techniques to quantify the significant increase in sand resistance caused by rapid penetration, enabling reliable design and reducing risk of material failure associated with the high impact forces. Expected outcomes of the project include a conceptual framework and scientific-based design tool to predict the geotechnical performance of offshore installations. The research will provide the necessary scientific advances to install, moor and service offshore wind and wave energy devices more economically and efficiently.Read moreRead less
The impact of the mass-adoption of electric cars on the Australian electricity grid. This project represents the first technical study in Australia into the impact on the electric utility system of the mass adoption of electric vehicles. At present, road transport accounts for 12 per cent of greenhouse gas (GHG) emissions in Australia. The mass adoption of electric vehicles could reduce GHG in transport by up to 24 per cent when charged from the current grid or by 100 per cent if using renewable ....The impact of the mass-adoption of electric cars on the Australian electricity grid. This project represents the first technical study in Australia into the impact on the electric utility system of the mass adoption of electric vehicles. At present, road transport accounts for 12 per cent of greenhouse gas (GHG) emissions in Australia. The mass adoption of electric vehicles could reduce GHG in transport by up to 24 per cent when charged from the current grid or by 100 per cent if using renewable power. As well as receiving environmental advantages, Australia will benefit from this project through: (1) advancements in the management of the electricity distribution system by the development of a smart grid; (2) the development of principles for the placement of charging stations suitable for unique local conditions, such as Australia's long distances.Read moreRead less
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.
Read moreRead less
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
Developing novel big-data based models for designing greener turbines. Developing novel big-data based models for designing greener turbines. This project aims to improve the fuel efficiency of gas turbines, the backbone of power generation and aircraft propulsion, for efficient and affordable power generation and air travel. Australia is large, remote and has some of the world’s highest carbon dioxide emissions per capita. Improving fuel efficiency will reduce cost and emissions, but current de ....Developing novel big-data based models for designing greener turbines. Developing novel big-data based models for designing greener turbines. This project aims to improve the fuel efficiency of gas turbines, the backbone of power generation and aircraft propulsion, for efficient and affordable power generation and air travel. Australia is large, remote and has some of the world’s highest carbon dioxide emissions per capita. Improving fuel efficiency will reduce cost and emissions, but current design tools lack the accuracy to advance technology. This project will investigate fluid flow in gas turbines and use big-data analytics to develop more accurate design tools. Gas turbines with reduced fuel usage and carbon dioxide emissions are expected to reduce the cost and environmental impact of power generation and air travel in Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100427
Funder
Australian Research Council
Funding Amount
$446,000.00
Summary
Engineered multifunctional membranes for aqueous organic redox flow battery. This project aims to develop multifunctional membranes with high ion conductivity and selectivity and high energy density to address the key challenges in the development of aqueous organic redox flow battery for renewable energy storage. The project will develop novel methodologies for precisely tuning and functionalising microporous materials to achieve cost-effective and scalable fabrication of membranes with multi-f ....Engineered multifunctional membranes for aqueous organic redox flow battery. This project aims to develop multifunctional membranes with high ion conductivity and selectivity and high energy density to address the key challenges in the development of aqueous organic redox flow battery for renewable energy storage. The project will develop novel methodologies for precisely tuning and functionalising microporous materials to achieve cost-effective and scalable fabrication of membranes with multi-functions, thus improving the energy efficiency and retaining the cycling capacity of redox flow batteries. The advancement of multifunctional membranes will enhance the efficiency of storage of intermittent and fluctuating renewable resources, thereby contributing to the reduction of carbon footprint in Australia. 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