Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proa ....Sewer Monitoring and Management in the Digital Era. Overflow, flooding, corrosion, and odorous emissions are persistent issues for utilities managing sewers. Current sewer maintenance is reactive, and focuses on solving problems in local networks, despite that optimal solutions require a system-wide approach. Capitalising on recent development in IoT sensors, wireless transmission, and machine learning, this multidisciplinary project aims to develop digital-twin supported data analytics for proactive sewer management including network-wide real-time control. The project aims to generate significant social, environmental and economic benefits by enabling utilities to better protect public and environmental health, reduce sewer odour and greenhouse gas emissions, and extend sewer asset life.Read moreRead less
Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expect ....Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expected outcomes include protocol to accurately monitor emissions, models to predict emission under various conditions, and mitigation guideline for typical plant configurations. The anticipated benefit is a significant reduction in GHG emissions from urban water industry and support it to meet net-zero-emission goal by 2050.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100422
Funder
Australian Research Council
Funding Amount
$386,637.00
Summary
Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field work ....Feasible quantification of greenhouse gas emitted from wastewater treatment. This project aims to develop an accurate and practical approach to quantify greenhouse gas (GHG) emissions from wastewater treatment. Australian water utilities have pledged to net-zero emissions. However, most utilities do not know its actual emissions due to lack of feasible quantification method. This project will apply an interdisciplinary approach via mechanism investigations, mathematical modelling, and field works to develop and validate a new feasible quantification method. This project will also advance knowledge on GHG emissions to guide quantification design. The outcomes will be translated into industry protocols and disseminated into industry. The outcomes provide timely support to water sector on its pathway to net-zero.Read moreRead less
Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental ....Designing the next generation of geosynthetic liner systems . The project aims to improve the effectiveness of geosynthetic liner systems to contain emerging contaminants such as per-and poly-fluoroalkyl substances (PFASs) for better protection of Australian groundwater resources. The project expects to experimentally validate theory to improve predictive models for performance of geosynthetic liner systems. Expected outcomes include new and updated design guidelines for effective environmental protection against PFASs and establishment of new approaches for predicting functional containment lifetimes of liner systems. These outcomes are expected to benefit the waste and remediation industries by influencing next-generation design regulations to ensure long-term environmental protection from PFAS.Read moreRead less
Multiscale physics for enhanced oil recovery. The project aims to develop a multiscale mathematical and laboratory modelling methodology for combined enhanced oil recovery (EOR) and CO2 storage, and synthesise the technology for Santos’s Mulberry oilfield as a test case. The multidisciplinary team will develop advanced reservoir- and laboratory-scale mathematical models and novel laboratory methods to enhance the reliability of modern EOR and CO2 storage and increase its uptake by companies in A ....Multiscale physics for enhanced oil recovery. The project aims to develop a multiscale mathematical and laboratory modelling methodology for combined enhanced oil recovery (EOR) and CO2 storage, and synthesise the technology for Santos’s Mulberry oilfield as a test case. The multidisciplinary team will develop advanced reservoir- and laboratory-scale mathematical models and novel laboratory methods to enhance the reliability of modern EOR and CO2 storage and increase its uptake by companies in Australia and globally. The expected outcomes are a pioneering methodology with environmental benefits without additional drilling and reduction of greenhouse effect, and economic benefit to the Australian oil industry through increases in productivity.Read moreRead less
Catalytic Degardation of Emerging Microplastic Pollutants. This project aims to develop robust and low-cost nanocarbon hybrids and advanced remediation technology to address globally emerging microplastic contaminations. The project expects to boost innovations in development of novel magnetic nanomaterials, process of microplastic purification, and green catalysis. Expected outcomes of this project will include efficient strategies in materials fabrication and a cutting-edge nanotechnology. The ....Catalytic Degardation of Emerging Microplastic Pollutants. This project aims to develop robust and low-cost nanocarbon hybrids and advanced remediation technology to address globally emerging microplastic contaminations. The project expects to boost innovations in development of novel magnetic nanomaterials, process of microplastic purification, and green catalysis. Expected outcomes of this project will include efficient strategies in materials fabrication and a cutting-edge nanotechnology. The success of the project will underpin the scientific bases of carbocatalysis, provide significant benefits to the Australian industry and society for a sustainable future with clean water, and increase the leading capacity of Australia in fundamental research and frontier technology.Read moreRead less
Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and ....Next generation nondestructive inspection using guided-wave mixing. This project aims to develop a novel approach for early damage detection. It relies on a systematic experimental investigation of nonlinear ultrasonic interaction between different input wave modes in the presence of damage, so as to identify optimal mode selections and operating parameters that will maximise the sensitivity to particular forms of structural damage. The effects of in-service loading on wave-mixing response, and non-contact detection suitable for hard-to-inspect surface conditions, will also be investigated. The new developments will help transform existing schedule-based maintenance practice to a condition-based maintenance paradigm, to achieve significant cost savings in maintenance.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100253
Funder
Australian Research Council
Funding Amount
$450,948.00
Summary
Functional carbon hybrids for green catalysis and clean water. This project aims to develop a family of structure-tailored, robust and metal-free carbon hybrids and environmental-benign processes for catalytic degradation of emerging microcontaminants in water. Innovations are expected in the design of reaction-oriented nanocarbons, new concept in atomic level carbocatalysis from computation and in-situ characterisation, advanced purification technology, and breakthroughs in material engineering ....Functional carbon hybrids for green catalysis and clean water. This project aims to develop a family of structure-tailored, robust and metal-free carbon hybrids and environmental-benign processes for catalytic degradation of emerging microcontaminants in water. Innovations are expected in the design of reaction-oriented nanocarbons, new concept in atomic level carbocatalysis from computation and in-situ characterisation, advanced purification technology, and breakthroughs in material engineering. The anticipated outcomes will be the scientific basis for functional nanomaterials, nanotechnology, and green remediation technologies. Success will provide significant benefits in securing a sustainable future for Australia, with clean water and strategies for advanced manufacturing in related areas. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101074
Funder
Australian Research Council
Funding Amount
$424,500.00
Summary
Conversion of biowastes to porous carbon materials for green catalysis. This project aims to develop a family of biowaste-derived porous carbon and single-atom-anchored porous carbon catalysts for the degradation of emerging microcontaminants in water. Innovations are expected in systematically developing affordable, facile, productive, and sustainable approaches. Via reaction-oriented structure design, new concept will be defined at the atomic level using calculations and in situ characterisati ....Conversion of biowastes to porous carbon materials for green catalysis. This project aims to develop a family of biowaste-derived porous carbon and single-atom-anchored porous carbon catalysts for the degradation of emerging microcontaminants in water. Innovations are expected in systematically developing affordable, facile, productive, and sustainable approaches. Via reaction-oriented structure design, new concept will be defined at the atomic level using calculations and in situ characterisations in material engineering and advanced purification technology. The anticipated outcomes will provide fundamental knowledge in green nanotechnologies for water remediation. Success will secure a sustainable future for Australia with clean water and strategies for advanced manufacturing in relevant areas.Read moreRead less
Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed ....Collision Avoidance in Shipping Lanes via Intelligent Sensor Data Fusion . This project aims to develop an online maritime traffic monitoring system for reliable collision/contact avoidance that exploits complementary data from high-resolution airborne sensors and surface vessel sensors. Our approach is based on optimal scheduling and fusion of the sensor data and possibly other sources of data to construct a comprehensive dynamic picture of maritime traffic, in real-time. Moreover, the proposed methodology enables quantification of confidence in the predictions. This will provide ship owners, directly to their vessels and/or at the fleet management centres, information such as weather reports, reliable collision/no-collision warnings and avoidance strategies, on-the-fly. Read moreRead less