Network Calming - Using Smart Sensors to Improve Water Asset Performance. Recent high-frequency monitoring in water distribution networks (WDNs) shows that pressure perturbations are significantly more dramatic than expected and cause pipe failures with highly disruptive consequences. This project aims to hydraulically calm WDNs to improve their performance, informed by smart sensors. The project will generate insightful knowledge of the hydraulic behaviour of real WDNs. The outcomes will be new ....Network Calming - Using Smart Sensors to Improve Water Asset Performance. Recent high-frequency monitoring in water distribution networks (WDNs) shows that pressure perturbations are significantly more dramatic than expected and cause pipe failures with highly disruptive consequences. This project aims to hydraulically calm WDNs to improve their performance, informed by smart sensors. The project will generate insightful knowledge of the hydraulic behaviour of real WDNs. The outcomes will be new strategies to identify, eliminate and suppress harmful pressure perturbations, leading to a reduced burst rate, extended asset life, improved system operation and advanced design principles. The resultant sustainable water assets provide significant economic and environmental benefits to the water industry and society.Read moreRead less
Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe co ....Closing the Gap in Pipe Condition Assessment using Hydro-Acoustic Waves. Worldwide, the deterioration of water distribution pipeline infrastructure is driving an unsustainable explosion in maintenance and repair costs. In collaboration with industry leader Detection Services, this project will develop new methods to detect pipe condition faults at a scale and precision not currently possible. The outcome will be an advanced, yet practical, technology that provides critical information on pipe condition using new innovative active hydro-acoustic signal generators and sensors, combined with state-of-the-art signal analysis methods. The unprecedented cost-effectiveness of the technology will ensure a broad use in the water industry for targeted and efficient action, creating jobs and saving costs.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100481
Funder
Australian Research Council
Funding Amount
$388,673.00
Summary
Illuminating Dark Fibres for Smart Water Asset Monitoring. Smart water networks formed by fleets of acoustic sensors to detect developing cracks in water networks have grown rapidly in the past decade but are costly to install and maintain. This project aims to overcome this challenge by exploiting unused underground optical fibre cables that are ubiquitous in cities. The result will be low-cost and ready-made distributed sensing systems that protect critical water supplies, supported by intelli ....Illuminating Dark Fibres for Smart Water Asset Monitoring. Smart water networks formed by fleets of acoustic sensors to detect developing cracks in water networks have grown rapidly in the past decade but are costly to install and maintain. This project aims to overcome this challenge by exploiting unused underground optical fibre cables that are ubiquitous in cities. The result will be low-cost and ready-made distributed sensing systems that protect critical water supplies, supported by intelligent data analytic algorithms that can translate real-time data into valuable information to optimise water asset monitoring. The research outcomes will stimulate a technological revolution in smart water networks, accelerate water digitalisation globally and bring significant economic and social benefits.Read moreRead less
Achieving Nitrite Shunt For Mainstream Sewage Treatment Using Human Waste. This project aims to develop a novel technology to achieve mainstream nitrogen removal from domestic sewage via nitrite shunt. Nitrite shunt can reduce energy consumption and promote energy recovery compared with the conventional nitrogen removal process. However, it is difficult to inactivate nitrite-oxidising bacteria, which is a key barrier for achieving nitrite shunt. By advancing the underpinning science and introduc ....Achieving Nitrite Shunt For Mainstream Sewage Treatment Using Human Waste. This project aims to develop a novel technology to achieve mainstream nitrogen removal from domestic sewage via nitrite shunt. Nitrite shunt can reduce energy consumption and promote energy recovery compared with the conventional nitrogen removal process. However, it is difficult to inactivate nitrite-oxidising bacteria, which is a key barrier for achieving nitrite shunt. By advancing the underpinning science and introducing a novel technology that innovatively harnesses a human waste, the project expects to remove the barrier. Expected outcomes will support the transformation of sewage treatment plants into net-zero energy generators. This should provide economic, environmental and energy benefits for Australia’s water and energy sectors.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
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
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
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.
Early Career Industry Fellowships - Grant ID: IE230100437
Funder
Australian Research Council
Funding Amount
$417,237.00
Summary
Nanobubbles for effective and energy efficient water treatment. This project aims to produce new knowledge for developing ozone nanobubbles as a technological option for the water industry where commercially suitable technologies are unavailable. Australian water utilities have identified two key challenges: destruction of micropollutants and natural organic matter in recycled and reservoir water, respectively. New knowledge from the project will allow these water utilities to utilise the extrao ....Nanobubbles for effective and energy efficient water treatment. This project aims to produce new knowledge for developing ozone nanobubbles as a technological option for the water industry where commercially suitable technologies are unavailable. Australian water utilities have identified two key challenges: destruction of micropollutants and natural organic matter in recycled and reservoir water, respectively. New knowledge from the project will allow these water utilities to utilise the extraordinary properties of nanobubbles and the strong oxidation capability of ozone for effective and energy efficient water treatment. Tech-transfer to the industry is guaranteed through a scientifically designed pilot plant for benchmarking against the current state of the art ozonation process and reverse osmosis.Read moreRead less