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
Commercial scale production of biocrude by hydrothermal liquefaction. The project aims to develop new understanding and tools to support commercial-scale production of biocrude from microalgae or biosolids and enable a breakthrough in cost-effective production of sustainable fuels. A novel hydrothermal liquefaction reactor has been developed that has strong potential to overcome the limitations of Muradel's existing demonstration reactor which, while world-leading, is uneconomical at commercial ....Commercial scale production of biocrude by hydrothermal liquefaction. The project aims to develop new understanding and tools to support commercial-scale production of biocrude from microalgae or biosolids and enable a breakthrough in cost-effective production of sustainable fuels. A novel hydrothermal liquefaction reactor has been developed that has strong potential to overcome the limitations of Muradel's existing demonstration reactor which, while world-leading, is uneconomical at commercial scale. The project aims to develop design tools to optimise the new reactor, comprising a chemical model of the complex, multi-component hydrothermal liquefaction reactions, a computational model of the mixing and heat transfer within it and a network model of the energy and exergy flows.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