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On-line monitoring of cyanobacteria to predict coagulant doses and powdered activated carbon application in water treatment. Cyanobacteria, more commonly known as blue-green algae, can impact water quality by releasing toxins that can be harmful to human health and imparting unpleasant taste and odours to the water. This project will support the water industry in managing these risks by providing a rapid, on-line tool to assist in their removal during water treatment.
Mitigation of silica nanoparticle scaling in water treatment. This project aims to develop strategies to mitigate silica scaling at coal seam gas (CSG) water treatment facilities. CSG is adsorbed to the surface of coal along fractures and cleats and released when pressure is reduced by removal of groundwater, which has chemistry specific to the region from which it is extracted. Desalination of produced water is severely impacted by mineral scaling on reverse osmosis membranes. This project will ....Mitigation of silica nanoparticle scaling in water treatment. This project aims to develop strategies to mitigate silica scaling at coal seam gas (CSG) water treatment facilities. CSG is adsorbed to the surface of coal along fractures and cleats and released when pressure is reduced by removal of groundwater, which has chemistry specific to the region from which it is extracted. Desalination of produced water is severely impacted by mineral scaling on reverse osmosis membranes. This project will consider silica and silica-rich nanoparticles in concert with cations and organics, with the aim of better managing cations so to facilitate nanoparticle lubrication. Project outcomes may include more productive use of assets, improved pre-treatment infrastructure to support reverse osmosis operation, and the environmental benefits of reduced chemical waste and increased water recovery.Read moreRead less
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
Understanding, measuring and managing the benefits of urban waterways. This project aims to improve understanding of the contribution of urban waterways to enhanced liveability in cities. Australia needs better water resource management and the rapid growth of Australia’s cities places increased importance on managing natural assets in metropolitan areas. The project focuses on clarifying the link between the benefits of waterways and the measurement techniques used by economists, which in turn ....Understanding, measuring and managing the benefits of urban waterways. This project aims to improve understanding of the contribution of urban waterways to enhanced liveability in cities. Australia needs better water resource management and the rapid growth of Australia’s cities places increased importance on managing natural assets in metropolitan areas. The project focuses on clarifying the link between the benefits of waterways and the measurement techniques used by economists, which in turn inform management choices. The project aims to fill an important gap between the psychology and economics disciplines and outputs should significantly improve the way waterways are valued and managed. This is intended to offer benefits for urban residents and to improve the methodologies used for environmental valuation.Read moreRead less
Biofilm-based solution for cost-effective high-quality drinking water. Approximately 90% of the drinking water in Australia is sourced from surface water bodies, which are naturally rich in nutrients and organic matter. This leads to the growth of cyanobacteria, which are known to be a major cause of taste and odour compounds and cyanotoxins. Climate change is causing increased cyanobacterial growth due to higher temperatures, exacerbating this existing challenge to water utilities. This project ....Biofilm-based solution for cost-effective high-quality drinking water. Approximately 90% of the drinking water in Australia is sourced from surface water bodies, which are naturally rich in nutrients and organic matter. This leads to the growth of cyanobacteria, which are known to be a major cause of taste and odour compounds and cyanotoxins. Climate change is causing increased cyanobacterial growth due to higher temperatures, exacerbating this existing challenge to water utilities. This project proposes a novel biofilm-based approach for cost-effective drinking water treatment production. Our approach represents a simple retrofit to existing processes and drastically reduces the chemical dosing costs and improve climate resilience while ensuring the production of high-quality, safe drinking water.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.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
Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosio ....Network-wide sewer odour and corrosion management by model predictive control. Network-wide sewer odour and corrosion management by model predictive control. This project aims to develop and demonstrate, through real-life field studies, a model predictive control approach that achieves cost-effective network-wide mitigation of hydrogen sulphide. The lack of suitable methodologies to support the control designs of chemical dosing units and sewage pumping stations makes network-wide sewer corrosion and odour management a problem. Innovative control methodology will simultaneously manipulate chemical dosing unit(s) and selected sewage pumping station(s), based on real-time prediction of sewage flows and characteristics both at sources and across the network, to ensure optimal delivery of dosed chemicals to mitigate hydrogen sulphide.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