Volatile Organic Compound removal from indoor air environments by an integrated photocatalytic/filtration system. This project promotes the development of technology for providing improved air quality in indoor environments. Mentoring by internationally renowned experts of young Australian researchers on this issue of high importance will be undertaken by the Chief and Partner Investigators. Success from this project will place Australia as a leader in the global community for developing technol ....Volatile Organic Compound removal from indoor air environments by an integrated photocatalytic/filtration system. This project promotes the development of technology for providing improved air quality in indoor environments. Mentoring by internationally renowned experts of young Australian researchers on this issue of high importance will be undertaken by the Chief and Partner Investigators. Success from this project will place Australia as a leader in the global community for developing technology in air pollution quality control.Read moreRead less
Detailed understanding of the behaviour of soot in, and emission from, turbulent flames and fires. While combustion processes involving soot have been widely employed for many years, their great complexity puts them beyond present capacity to understand or model reliably. Within a flame, soot plays an important role in radiant heat transfer, and hence in energy efficiency. Beyond a flame, soot can either be emitted as an unwanted air pollutant or as a desirable source of nano-particles, dependin ....Detailed understanding of the behaviour of soot in, and emission from, turbulent flames and fires. While combustion processes involving soot have been widely employed for many years, their great complexity puts them beyond present capacity to understand or model reliably. Within a flame, soot plays an important role in radiant heat transfer, and hence in energy efficiency. Beyond a flame, soot can either be emitted as an unwanted air pollutant or as a desirable source of nano-particles, depending on the application. The benefits to society from improved understanding and predictive capability include reduced air pollution, improved health and safety, increased efficiency in the utilisation of both fossil and alternative fuels, the support of the rapidly growing sector employing carbon nano-particles and increased fire safety. Read moreRead less
Dynamic Controllability Analysis for Plantwide Process Design and Control. World-wide chemical plants represent many billions of dollars of investment. Improvements to the process designs in terms of controllability would have the potential to provide large economic benefits, as it implies improved productivity, reduced operating costs and product variability. This proposed research will be a step towards integration of process design and control, which has been widely recognized as the key to t ....Dynamic Controllability Analysis for Plantwide Process Design and Control. World-wide chemical plants represent many billions of dollars of investment. Improvements to the process designs in terms of controllability would have the potential to provide large economic benefits, as it implies improved productivity, reduced operating costs and product variability. This proposed research will be a step towards integration of process design and control, which has been widely recognized as the key to this improvement. The outcomes from this project may be readily implemented in process design practice, and therefore have a direct impact to the Australian and world-wide process industries, helping to build a more efficient and environmental conscious Australian process industries.Read moreRead less
Study of hydrocarbon flames under heat and gas recirculation conditions. This project aims to study gaseous flames under heat and gas recirculation conditions. This technology has been proven to reduce fuel consumption, improve thermal efficiency and substantially reduce nitric oxides emission. The effect of mixing, turbulence and temperature on the structure and stability of these flames will be investigated. The project combines experimental and computational research applied to a laboratory s ....Study of hydrocarbon flames under heat and gas recirculation conditions. This project aims to study gaseous flames under heat and gas recirculation conditions. This technology has been proven to reduce fuel consumption, improve thermal efficiency and substantially reduce nitric oxides emission. The effect of mixing, turbulence and temperature on the structure and stability of these flames will be investigated. The project combines experimental and computational research applied to a laboratory scale burner and a small scale furnace. The main objectives are to better understand the chemical pathways in low temperature hydrocarbon flames under heat and gas recirculation conditions and to understand the effect of mixing and turbulence on the flame structure and pollutants emission.Read moreRead less
Plasma-Catalytist Hybrid Process for Simultaneous Removal of NOx and SOx. Coal combustion provides over 80% of the electricity produced in Australia, with the power stations being major emitters of the pollutants NOx and SOx. This project will potentially lead to a new technology to simultaneously remove NOx and SOx in a single and economical process, eliminating the secondary waste streams that disadvantage current competing technologies. This will provide: significant environmental benefits f ....Plasma-Catalytist Hybrid Process for Simultaneous Removal of NOx and SOx. Coal combustion provides over 80% of the electricity produced in Australia, with the power stations being major emitters of the pollutants NOx and SOx. This project will potentially lead to a new technology to simultaneously remove NOx and SOx in a single and economical process, eliminating the secondary waste streams that disadvantage current competing technologies. This will provide: significant environmental benefits for Australia in reducing these dangerous atmospheric pollutants; economic advantage to our power stations by enabling cheaper, more efficient technologies and consolidate Australia's leading position in the world in air pollution control. Read moreRead less
Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that e ....Distributed nonlinear control based on differential dissipativity. This project aims to investigate the process control methodologies crucial to smart manufacturing It aims to develop a distributed optimisation-based nonlinear control approach for plant-wide flexible manufacturing, which can achieve time-varying operational targets including production rates and product specifications to meet dynamic market demands. This includes a contraction-based nonlinear distributed control framework that ensures plant-wide stability at any feasible set-points or references and a distributed economic model predictive control approach that coordinates autonomous controllers to achieve plant-wide economic objectives in a self-organising manner. The outcomes of this project are expected to form a process control framework for next-generation smart plants.Read moreRead less
Dissipativity based distributed model predictive control for complex industrial processes. This project will extend and improve the model predictive control technology, which is the most widely used advanced control approach in process industries. The results will potentially benefit the Australian mineral processing industry where many processes are geographically distributed, leading to more cost-effective operation.
Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault ....Integrated Approach to Plantwide Fault Diagnosis and Fault-tolerant Control. This project aims to develop a new approach to detect and reduce the impact of faults in industrial plants. Operations of modern industrial processes increasingly depend on automatic control systems, which can make the plants susceptible to faults such as sensor/actuator failures. Based on the concept of dissipative systems, the project aims to develop a novel integrated approach to distributed fault diagnosis and fault-tolerant control for plant-wide processes. It aims to capture the key dynamic features of normal and abnormal processes by their dissipativity properties, and to use these to develop an efficient online fault diagnosis approach based on process input and output trajectories.Read moreRead less
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
Economic Operability Assessment of Leaching Process at Kwinana Nickel Refinery. Process operability is concerned with systematic analysis and improvement of process performance in the face of variable operating conditions. This project will develop a rigorous methodology for analysis of process operability with respect to short-term and transient disturbances. The proposed technique will be applied to the Kwinana Nickel Refinery Leach section, in order to reduce the plant variability and increas ....Economic Operability Assessment of Leaching Process at Kwinana Nickel Refinery. Process operability is concerned with systematic analysis and improvement of process performance in the face of variable operating conditions. This project will develop a rigorous methodology for analysis of process operability with respect to short-term and transient disturbances. The proposed technique will be applied to the Kwinana Nickel Refinery Leach section, in order to reduce the plant variability and increase nickel throughput and plant availability. This can be considered as significant move by a process industry to embrace advanced theoretical developments and will act as a benchmark to promote future links between Australian industry and academia.Read moreRead less