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
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
Development of an integrated methodology to assess dewatering system performance in solid-liquid separation. 3D visualisations of microstructures are possible with techniques such as confocal laser microscopy and high resolution X-ray microtomography. Data obtained in-situ enable direct computation of solids assembly properties and their permeability to fluids. A specific application involving aggregate formation and sediment networks could be evaluated through micro-scale analysis combined with ....Development of an integrated methodology to assess dewatering system performance in solid-liquid separation. 3D visualisations of microstructures are possible with techniques such as confocal laser microscopy and high resolution X-ray microtomography. Data obtained in-situ enable direct computation of solids assembly properties and their permeability to fluids. A specific application involving aggregate formation and sediment networks could be evaluated through micro-scale analysis combined with robust fluid flow simulations. The method can potentially be utilized to predict trends such as filtration behaviour of materials under different states of compression. This offers significant benefits in formulating the design of flocculated systems pertinent to a number of industrial sectors wishing to design optimum solid-liquid separation processes.Read moreRead less
Electrocoagulation as a low-cost option for the continuous treatment of highly polluted wastewater. Water is a critically important 'raw material' with less than 0.01% of Earth's total supply being readily available. 'Once through' utilisation of this resource is no longer an acceptable industrial practise. Recycling/reuse of industrial wastewater must become the norm with economic pollutant recovery being seen as integral to the solution. The food/beverage industries are major water users. Deta ....Electrocoagulation as a low-cost option for the continuous treatment of highly polluted wastewater. Water is a critically important 'raw material' with less than 0.01% of Earth's total supply being readily available. 'Once through' utilisation of this resource is no longer an acceptable industrial practise. Recycling/reuse of industrial wastewater must become the norm with economic pollutant recovery being seen as integral to the solution. The food/beverage industries are major water users. Detailed scoping work in 2005 has identified electrocoagulation as a technically simple and economically viable option for this industry sector. Our industry partner is part of a global multi-national corporation within which successful wastewater treatment technology will be rapidly exploited and exported. 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
Solar-driven massive hydrogen production from biomass and biomass/coal mixtures by supercritical water gasification. Cheap and massive hydrogen production from renewable resources is one of the key challenges to achieve a hydrogen economy that promises to ultimately solve critical problems, such as energy depletion and climate change. This project exactly falls into this research and development priority and will benefit Australian economy and environment.
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
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.
Discovery Early Career Researcher Award - Grant ID: DE120100960
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Simulation and characterisation of the packing of uniform non-spherical particles. The effect of particle shape on the packing of uniform particles is a fundamental problem in the study of granular materials and is also related to other important scientific problems. This project aims to solve this problem by an innovative computer simulation method, using virtual but insightful numerical results to build solid theories.