Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition ....Multiscale engineering of durable absorber coatings for solar thermal power. This project aims to advance the long-term stability and efficiency of high-temperature absorber coatings for Concentrated Solar Power (CSP) plants. Solar energy is a vast and largely untapped resource in Australia. The project will design superior light absorbers and scalable and low-cost approaches for their fabrication. Optimal absorber properties will be achieved by multi-scale engineering of the coating composition and micro-texturing via modelling of the light absorption and heat transport within these complex nanocomposite structures. The intended outcome of the project is a set of commercially competitive absorber coatings, with superior performance and durability, that support the development of CSP as a competitive technology for energy generation.Read moreRead less
Stable perovskite-unlocking the full potential of low-cost solar cells. Despite impressive conversion efficiency, the perovskites' poor stability impedes their commercialization. This project aims to develop strategies for stable perovskite solar cells. This will be realized by a thorough understanding of the degradation origins with stimuli, and development of degradation mitigation strategies including materials and interfaces engineering, defect control and passivation, synergized by a system ....Stable perovskite-unlocking the full potential of low-cost solar cells. Despite impressive conversion efficiency, the perovskites' poor stability impedes their commercialization. This project aims to develop strategies for stable perovskite solar cells. This will be realized by a thorough understanding of the degradation origins with stimuli, and development of degradation mitigation strategies including materials and interfaces engineering, defect control and passivation, synergized by a systematic degradation evaluation, state-of-art multi-scale material and device characterizations and device modeling providing feedback for optimization. The project will bring new scientific findings, key technological step-change solutions, unlocking the full potential of perovskites for cheaper photovoltaic technologies.
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A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less
Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning progra ....Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning program to select optimal model parameters from which computational algorithms will optimise grinding mill geometries. This research project will deliver substantial improvements to equipment used to process our most valuable exports and result in immediate industry impact.Read moreRead less