Sewer corrosion reduction through model-supported ventilation control. Ventilation is one of the key technologies for sewer corrosion control. However, its design and operation are currently based on experience and empirical equations, often leading to unsatisfactory results. By integrating in-depth laboratory and pilot-sewer studies under defined conditions with extensive field investigations, this multidisciplinary project aims to develop critical models to predict the corrosion process in res ....Sewer corrosion reduction through model-supported ventilation control. Ventilation is one of the key technologies for sewer corrosion control. However, its design and operation are currently based on experience and empirical equations, often leading to unsatisfactory results. By integrating in-depth laboratory and pilot-sewer studies under defined conditions with extensive field investigations, this multidisciplinary project aims to develop critical models to predict the corrosion process in response to ventilation and dynamic wastewater and atmospheric conditions, enabling model-based sewer ventilation design and operation. The project also aims to deliver novel, field-demonstrated ventilation strategies. The project findings will be incorporated in the Australian ventilation design and operation guidelines.Read moreRead less
An integrated approach to iron salt use in urban water systems. The project aims to develop and demonstrate an integrated and innovative strategy, and the associated science and technologies, to achieve multiple beneficial uses of iron salts in an urban water system. The project intends to use iron chloride to replace the most commonly used alum as a coagulant in water treatment. The same iron is then further used for corrosion and odour control in sewers, phosphorus removal in wastewater treatm ....An integrated approach to iron salt use in urban water systems. The project aims to develop and demonstrate an integrated and innovative strategy, and the associated science and technologies, to achieve multiple beneficial uses of iron salts in an urban water system. The project intends to use iron chloride to replace the most commonly used alum as a coagulant in water treatment. The same iron is then further used for corrosion and odour control in sewers, phosphorus removal in wastewater treatment reactors and hydrogen sulfide removal from biogas in an anaerobic digester. The strategy is expected to substantially reduce the use of chemicals in the entire urban water system, delivering large economic and environmental benefits to urban water utilities.Read moreRead less
Sustainable Water Reuse and Resource Recovery through Cost-Effective BNR. The recycling of treated wastewater effluents is needed to achieve water security, where very low nitrogen (N) and phosphorus (P) levels must be achieved for wastewater to be effectively recycled. This research investigates a more sustainable and cost-effective N&P removal process from wastewater, benefiting the environment and improving the viability of wastewater recycling. Phosphorus is a limited resource worldwide and ....Sustainable Water Reuse and Resource Recovery through Cost-Effective BNR. The recycling of treated wastewater effluents is needed to achieve water security, where very low nitrogen (N) and phosphorus (P) levels must be achieved for wastewater to be effectively recycled. This research investigates a more sustainable and cost-effective N&P removal process from wastewater, benefiting the environment and improving the viability of wastewater recycling. Phosphorus is a limited resource worldwide and will be effectively recovered in the process to be used as a fertiliser. This project develops wastewater treatment process tools, solutions and management strategies that addresses the current challenges of how optimal nutrient removal and recovery from wastewater is achieved, enabling water recycling and saving costs.Read moreRead less
Methane and nitrous oxide emissions from sewers – understanding, modelling and mitigation. The research and industry partners will collaborate on this project to quantify, understand and mitigate emissions of methane and nitrous oxide in sewer networks. Both methane and nitrous oxide are potent greenhouse gases, and their emissions need to be accounted for and mitigated for the water industry to achieve greenhouse neutral water services.
Advancing water pollution emissions modelling in cities of the future. Advancing water pollution emissions modelling in cities of the future. This project aims to advance stormwater pollution modelling and enhance its link with urban development. Management of stormwater pollution by industry often results in inadequate strategies and, crucially, sub-optimal financial investments. Since this is unlikely to improve in light of urban growth and climate change, addressing decade-old pollution model ....Advancing water pollution emissions modelling in cities of the future. Advancing water pollution emissions modelling in cities of the future. This project aims to advance stormwater pollution modelling and enhance its link with urban development. Management of stormwater pollution by industry often results in inadequate strategies and, crucially, sub-optimal financial investments. Since this is unlikely to improve in light of urban growth and climate change, addressing decade-old pollution modelling knowledge gaps and the lack of a multidisciplinary approach to stormwater pollution management is urgent. The anticipated outcome is a modelling tool which industry can use to manage stormwater pollution in changing cities through smarter and economic technology and policy.Read moreRead less
Water-energy-carbon linkages in households and cities: a new paradigm. This project quantifies water-related energy in households and cities. The project aims to find cost-effective solutions to the rapid increase in urban water energy use, and solutions for the co-management of water, energy and carbon.
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
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
Fate of engineered nanoparticles: Challenges in informing human and ecological health risk assessments. Engineered nanoparticles (ENPs) have generated significant public and scientific excitement due to their unique properties. This has led to their application in a wide variety of industries (for example, in composite materials and drug delivery). However, there is concern that some ENPs can have detrimental environmental impacts. This project aims to quantify, for the first time, the fate of E ....Fate of engineered nanoparticles: Challenges in informing human and ecological health risk assessments. Engineered nanoparticles (ENPs) have generated significant public and scientific excitement due to their unique properties. This has led to their application in a wide variety of industries (for example, in composite materials and drug delivery). However, there is concern that some ENPs can have detrimental environmental impacts. This project aims to quantify, for the first time, the fate of ENPs that have leached out of commercial products in groundwater systems. This information is expected to assist regulators in developing appropriate legislation to balance the tremendous benefits and potential risks of nanotechnology.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