Model studies of Australian lump ore applied to blast furnace ironmaking. Ore lump use in ironmaking blast furnaces (BFs) requires no preprocessing and has a lower carbon footprint. However, it suffers various technical problems. This project aims to understand and optimize the conditions for such operations. This will be achieved by means of a combined theoretical and experimental program, involving the use of state-of-the-art multiscale computer modelling and simulation techniques. The researc ....Model studies of Australian lump ore applied to blast furnace ironmaking. Ore lump use in ironmaking blast furnaces (BFs) requires no preprocessing and has a lower carbon footprint. However, it suffers various technical problems. This project aims to understand and optimize the conditions for such operations. This will be achieved by means of a combined theoretical and experimental program, involving the use of state-of-the-art multiscale computer modelling and simulation techniques. The research outcomes will be tested in the design and control of lump charging operations in practice through collaboration with the industrial partner. This will ultimately increase Australian ore lump usage in BFs, leading to significant financial and environmental benefits to Australia and the entire steel industry worldwide.Read moreRead less
Thermal management of methane fuelled planar solid oxide fuel cells. Solid oxide fuel cells (SOFCs) are novel devices for generating energy with extremely low emissions. This project will conduct novel experiments and numerical simulations to improve the efficiency of SOFCs. This will then allow wider adoption of this technology, thus reducing CO2 and other environmental emissions from our power generation systems.
Industrial Transformation Training Centres - Grant ID: IC150100019
Funder
Australian Research Council
Funding Amount
$4,571,797.00
Summary
ARC Training Centre for Liquefied Natural Gas Futures. ARC Training Centre for Liquefied Natural Gas Futures. This training centre aims to deliver projects and training to enable future Australian Liquefied Natural Gas (LNG) production from reserves in deep water, at small or remote on-shore locations, with greater efficiency, less environmental impact, and at lower cost than currently possible. This should be accomplished via research projects undertaken by the PhD students and research fellows ....ARC Training Centre for Liquefied Natural Gas Futures. ARC Training Centre for Liquefied Natural Gas Futures. This training centre aims to deliver projects and training to enable future Australian Liquefied Natural Gas (LNG) production from reserves in deep water, at small or remote on-shore locations, with greater efficiency, less environmental impact, and at lower cost than currently possible. This should be accomplished via research projects undertaken by the PhD students and research fellows with guidance from the centre’s industrial partners. The centre’s expected legacy is a unique research and training facility, designed for future integration into a microscale LNG plant. The anticipated research and training outcomes will help to ensure Australia plays a leading role in future global LNG developments.Read moreRead less
Cloud scheduling and management of energy systems with real-time support. This project aims to research cloud scheduling and management of modern energy systems with real-time communication support. The approach consists of optimisation with balanced benefits for customers, aggregators and network service providers for modern energy systems; real-time communication support for unified energy scheduling and management over many microgrids; and cloud energy scheduling and management with deadline ....Cloud scheduling and management of energy systems with real-time support. This project aims to research cloud scheduling and management of modern energy systems with real-time communication support. The approach consists of optimisation with balanced benefits for customers, aggregators and network service providers for modern energy systems; real-time communication support for unified energy scheduling and management over many microgrids; and cloud energy scheduling and management with deadline guarantee. This project is expected to facilitate increasing deployment of disruptive energy technologies on a massive scale, create opportunities for energy industries, and maintain Australia’s leading position in renewable energy.Read moreRead less
Predictive Tools for Effective Spray Drying of Heat Sensitive Dairy Powders. This project is a joint international effort between Monash University, the Institute of Dairy Ingredients Processing at South Dakota State University, and the Dairy Research Institute to address challenges in achieving optimum spray drying conditions for heat sensitive dairy powders, such as milk protein concentrates and whey powders. The new modelling tool aims to help in predicting effective spray drying conditions t ....Predictive Tools for Effective Spray Drying of Heat Sensitive Dairy Powders. This project is a joint international effort between Monash University, the Institute of Dairy Ingredients Processing at South Dakota State University, and the Dairy Research Institute to address challenges in achieving optimum spray drying conditions for heat sensitive dairy powders, such as milk protein concentrates and whey powders. The new modelling tool aims to help in predicting effective spray drying conditions to produce powders with improved solubility, emulsification, and heat stability properties. It is expected that the dairy industry will benefit from the use of this technology to deliver milk powders with improved quality, functionality, and shelf-life.Read moreRead less
Unlocking Australia's offshore gas endowment. This project aims to develop practical new methods of predicting and detecting the formation of solids in gas and liquefied natural gas (LNG) production. Australia has large offshore reserves of natural gas and has made the investments necessary to help fuel the global transition to cleaner, reliable energy sources. However, conventional engineering approaches of producing gas from deep-water reserves have reached the limits of viability because of t ....Unlocking Australia's offshore gas endowment. This project aims to develop practical new methods of predicting and detecting the formation of solids in gas and liquefied natural gas (LNG) production. Australia has large offshore reserves of natural gas and has made the investments necessary to help fuel the global transition to cleaner, reliable energy sources. However, conventional engineering approaches of producing gas from deep-water reserves have reached the limits of viability because of the costs required to prevent solids forming in subsea pipelines or cryogenic LNG plants. The project’s expected outcome include sophisticated tools in open-access software based on these new predictive methods, and a step-change in Australia’s ability to access its offshore gas.Read moreRead less
Feedback destabilising control of electro-osmotic flow for reducing fouling and enhancing productivity of membrane systems. This project aims to develop a new approach to improving the productivity of membrane systems. With over $9 billion worth of membrane-based desalination plants either in operation, under construction or being planned in Australia, the expected outcomes of this project will lead to significant social and economic benefit and provide greater water security.
A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, inte ....A System Behavioral Approach to Big Data-driven Nonlinear Process Control. This project aims to develop a novel process control approach that utilises big process data to improve the cost-effectiveness of industrial processes. Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. Based on the system behavioural approach and dissipativity theory, integrated with machine learning techniques, this project expects to develop a novel framework for data-driven control using big process data. The outcomes are expected to benefit the Australian process industry, where many processes are controlled by inadequate logic controllers, by improving their operational efficiency.Read moreRead less
Distributionally robust dynamic optimisation for nonlinear switched system. Biochemical production utilising fermentation processes evidences poor product repeatability. This project aims to control and optimise 1,3-propanediol production via microbial fermentation. 1,3-propanediol is an essential ingredient for many polymeric materials and is present in cosmetics, personal care and cleaning products. New theory and parallel algorithms will be developed for the control and optimisation of the mi ....Distributionally robust dynamic optimisation for nonlinear switched system. Biochemical production utilising fermentation processes evidences poor product repeatability. This project aims to control and optimise 1,3-propanediol production via microbial fermentation. 1,3-propanediol is an essential ingredient for many polymeric materials and is present in cosmetics, personal care and cleaning products. New theory and parallel algorithms will be developed for the control and optimisation of the microbial fermentation of 1,3-propanediol production, where the bacteria kinetic parameters are uncertain without full knowledge of the probability distribution. This theory will also be applicable to other fermentation processes. The project outcomes are expected to significantly improve the productivity of the biochemical engineering industry involving fermentation processes.Read moreRead less
Control of Distributed Energy Storage System using Vanadium Batteries. This project aims to develop a new control approach to distributed energy storage at stack, system and microgrid levels, utilising one of the most promising flow battery technologies - vanadium redox batteries. This is the first attempt of a storage centric approach that includes: an integrated approach to design and control of vanadium flow batteries with novel advanced power electronics technologies to achieve optimal charg ....Control of Distributed Energy Storage System using Vanadium Batteries. This project aims to develop a new control approach to distributed energy storage at stack, system and microgrid levels, utilising one of the most promising flow battery technologies - vanadium redox batteries. This is the first attempt of a storage centric approach that includes: an integrated approach to design and control of vanadium flow batteries with novel advanced power electronics technologies to achieve optimal charging/discharging conditions; and, a scalable distributed energy storage and power management approach incorporating energy pricing for storage dispatch that allows distributed autonomous controllers to achieve optimal local techno-economic performance and microgrid-wide efficiency and reliability.Read moreRead less