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
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
Optimising seasonal decisions for environmental water use. This project will develop a tool to optimise the use of environmental water, drawing on seasonal forecasts of streamflow and water price, and predicted ecological responses to changing flows. This tool will strengthen the effectiveness of the government organisations responsible for managing Australia's environmental water reserves.
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
Advances in real-time satellite monitoring of flow in rivers and estuaries. This project plans to improve the monitoring of our waterways by developing a novel moving drifter system that takes flow and water quality measurements along the pathlines of the drifters. One of the key challenges for Australian water management lies in monitoring and managing rivers and estuaries effectively over large geographical areas. Traditionally, instrumentation at stationary points has been used for such monit ....Advances in real-time satellite monitoring of flow in rivers and estuaries. This project plans to improve the monitoring of our waterways by developing a novel moving drifter system that takes flow and water quality measurements along the pathlines of the drifters. One of the key challenges for Australian water management lies in monitoring and managing rivers and estuaries effectively over large geographical areas. Traditionally, instrumentation at stationary points has been used for such monitoring, under the simplifying assumption that a single point adequately represents a very large region of water. By contrast, the Real-Time Flow Logging of Water (RT-FLOW) system expects to provide information from large regions of our waterways, providing stakeholders with more information to enable them to better manage issues including storm surge and erosion. The project also aims to provide improved validation of hydrodynamic models.Read moreRead less
Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertai ....Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertain benefits. This project’s control system will be guided by quantitative models formulated from multi-pronged, fundamental experiments. The project will quantify microbial chloramine decay and determine mechanisms to increase predictability. The project will develop and demonstrate a real-time control technology which delivered microbiologically safe, cost-efficient drinking water to people in warmer climates, despite warming climate and increasing population.Read moreRead less
A new-generation flood forecasting system using observations from space. Floods are dangerous and expensive, costing Australia more than any other cause of natural disaster. This project will use satellite measurements of soil moisture and rainfall along with computer models to improve the Bureau of Meteorology’s predictions of floods in rivers. Better flood forecasts will reduce costs and save lives.
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
A 60% efficient solar microconcentrator for electricity and hot water. The aim of this project is to develop a microconcentrator for deployment on house roofs that will produce both solar hot water and solar electricity with a combined efficiency above 60%. The system will have a low profile and will be nearly invisible from the street. The system will track the sun. Concentration will be accomplished by a mixture of refraction and reflection. About 20% of the sunlight will be converted to elect ....A 60% efficient solar microconcentrator for electricity and hot water. The aim of this project is to develop a microconcentrator for deployment on house roofs that will produce both solar hot water and solar electricity with a combined efficiency above 60%. The system will have a low profile and will be nearly invisible from the street. The system will track the sun. Concentration will be accomplished by a mixture of refraction and reflection. About 20% of the sunlight will be converted to electricity using lines of tiny solar cells, with the balance being converted to heat which is removed by cooling fluid and stored in hot water tanks.Read moreRead less
Synthesis of Activated Carbon Supported Zero Valent Iron Nanoparticles and Application to Contaminant Degradation in Benthic Sediments. Sediment contamination is a major problem in harbours and estuaries around Australia. For example, in Sydney Harbour, a total fishing ban has been implemented as a result of excessive levels of dioxins and benzofurans in fish tissues. There is also concern at the possibility of large scale contamination of Botany Bay as a result of historic industrial activity a ....Synthesis of Activated Carbon Supported Zero Valent Iron Nanoparticles and Application to Contaminant Degradation in Benthic Sediments. Sediment contamination is a major problem in harbours and estuaries around Australia. For example, in Sydney Harbour, a total fishing ban has been implemented as a result of excessive levels of dioxins and benzofurans in fish tissues. There is also concern at the possibility of large scale contamination of Botany Bay as a result of historic industrial activity around the Bay. While dredging and on-land treatment of sediments is being adopted at the most severely contaminated sites, the cost of this approach is exorbitant. For sites where removal of contaminated sediments cannot be justified, the approach proposed in this study of a technology that entraps contaminants and enhances their in situ biodegradation is potentially a way forward.Read moreRead less