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
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
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
University of Queensland/Arizona State University partnership to design industrially suitable zeolite membranes for desalination. For desalination, the highest costs are organic-based membrane replacement (lasting ~1 year) and energy requirement. Functionalised zeolitic membranes are low-cost, high performing, chemically tolerant and thermally stable. New zeolite membranes in principle could perform the separation outlasting their organic counterparts, while at the same time offering major energ ....University of Queensland/Arizona State University partnership to design industrially suitable zeolite membranes for desalination. For desalination, the highest costs are organic-based membrane replacement (lasting ~1 year) and energy requirement. Functionalised zeolitic membranes are low-cost, high performing, chemically tolerant and thermally stable. New zeolite membranes in principle could perform the separation outlasting their organic counterparts, while at the same time offering major energy reductions from higher fluxes. Current zeolite membrane research for desalination however is lacking. The proposed team offers experience in bringing highly significant lab scale technologies to industrial scales. The outcomes will address mutual priorities between Australia and USA for reliable low cost supply of fresh water.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
Adsorption and Removal of Trace Organic Compounds by Membrane Processes used in Water Treatment and Wastewater Recycling. Recycling of municipal wastewaters is of growing importance as a resource-conservation and environmental-protection measure in Australia. A major impediment to increased rates of water recycling is a lack of knowledge regarding the presence, fate and removal of key trace organic compounds. Among these key contaminants are pharmaceutically active compounds (PhACs) and steroid ....Adsorption and Removal of Trace Organic Compounds by Membrane Processes used in Water Treatment and Wastewater Recycling. Recycling of municipal wastewaters is of growing importance as a resource-conservation and environmental-protection measure in Australia. A major impediment to increased rates of water recycling is a lack of knowledge regarding the presence, fate and removal of key trace organic compounds. Among these key contaminants are pharmaceutically active compounds (PhACs) and steroid hormones. This research will lead to a thorough understanding of the mechanisms involved with the removal of these compounds by membrane treatment applications. Major benefits will be enhanced ability to undertake risk management and a lowering of costs associated with full-scale water treatment applications.Read moreRead less
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
Avoiding cryogenic solids formation in liquefied natural gas production. This project will determine how and under what conditions cryogenic hydrocarbon solids form during liquefied natural gas (LNG) production, which often cause expensive unplanned plant shutdowns. New sensors will be developed to understand and monitor the conditions which cause these blockages and will be deployed into LNG plants to avoid the critical conditions.