Membrane distillation development for concentrated solar thermal systems. Membrane distillation development for concentrated solar thermal systems. This project aims to develop a new membrane distillation module that works with a high efficiency solar thermal tower system. Fresh water and energy are inextricably linked and form the basis for all human activity. Remote locations in Australia and the Middle East and North Africa are blessed with abundant solar resources and increasing levels of de ....Membrane distillation development for concentrated solar thermal systems. Membrane distillation development for concentrated solar thermal systems. This project aims to develop a new membrane distillation module that works with a high efficiency solar thermal tower system. Fresh water and energy are inextricably linked and form the basis for all human activity. Remote locations in Australia and the Middle East and North Africa are blessed with abundant solar resources and increasing levels of development, but burdened by access to reliable water treatment and electricity generation facilities. This project will use recently developed materials and design tools to overcome technical challenges that limited membrane distillation technology. This is expected to open up an innovative method for co-production of water and electricity which can handle transient solar and water quality inputs.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
Wavelet approaches for solving nonlinear dynamic systems in process engineering. The success of the proposed project will enable us to obtain more accurate numerical solutions for the nonlinear dynamical systems arising from process engineering. This ensures the potential for understanding and optimising industrial and engineering processes. Hence, a wide range of processing industries in Australia, such as agricultural chemicals, mineral processing, food, detergents, pharmaceuticals, ceramics ....Wavelet approaches for solving nonlinear dynamic systems in process engineering. The success of the proposed project will enable us to obtain more accurate numerical solutions for the nonlinear dynamical systems arising from process engineering. This ensures the potential for understanding and optimising industrial and engineering processes. Hence, a wide range of processing industries in Australia, such as agricultural chemicals, mineral processing, food, detergents, pharmaceuticals, ceramics and specialty chemicals will benefit from the results of this project. This will ensure globally competitive production and, therefore, greater contributions to the Australian economy.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
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
Innovative High Temperature Carbon–Air Batteries for High Power Generation. The project intends to develop carbon-air batteries which are expected to have energy density 10 times that of lithium-ion batteries. The battery is designed to use naturally-rich carbon as fuel, highly energy-efficient solid oxide fuel cells as electrochemical reactors, and an integrated mixed conducting ceramic membrane for in situ carbon dioxide separation. The success of this project would provide us with a low-carbo ....Innovative High Temperature Carbon–Air Batteries for High Power Generation. The project intends to develop carbon-air batteries which are expected to have energy density 10 times that of lithium-ion batteries. The battery is designed to use naturally-rich carbon as fuel, highly energy-efficient solid oxide fuel cells as electrochemical reactors, and an integrated mixed conducting ceramic membrane for in situ carbon dioxide separation. The success of this project would provide us with a low-carbon energy system based on Australia’s rich coal resources. New knowledge about carbon dioxide separation may also facilitate carbon dioxide sequestration in other fields.Read moreRead less
Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achiev ....Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achieve desired dynamic features. This project aims to develop such a data-based approach by controlling latent variable dynamics, using the behavioural systems framework integrated with big data analytics and artificial neural networks. The outcomes are expected to help build a cornerstone for future smart manufacturing.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100445
Funder
Australian Research Council
Funding Amount
$408,000.00
Summary
Engineering triple-phase boundary for superior aqueous metal-air batteries. This project aims to advance development of high-performance rechargeable aqueous zinc-air (Zn-air) batteries by engineering the triple-phase boundary to increase battery efficiency and power density for practical applications. There is an urgent need to develop sustainable and efficient energy storage and conversion systems to underpin technological development with increasing demand for superior battery technologies fo ....Engineering triple-phase boundary for superior aqueous metal-air batteries. This project aims to advance development of high-performance rechargeable aqueous zinc-air (Zn-air) batteries by engineering the triple-phase boundary to increase battery efficiency and power density for practical applications. There is an urgent need to develop sustainable and efficient energy storage and conversion systems to underpin technological development with increasing demand for superior battery technologies for portable electronics, renewable power sources and electrified vehicles. This project expects to accelerate the commercialisation of rechargeable aqueous Zn-air batteries and progress global commitments to new clean energy sources and storage technologies that are efficient, cost-effective and reliable.Read moreRead less