Derivation of Emissions Models from Vehicle Certification Tests. This research project will aim to prove the concept that emissions models capable of modelling changes in driver behaviour can be obtained from data that has been used as part of the vehicles emission certification process. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be es ....Derivation of Emissions Models from Vehicle Certification Tests. This research project will aim to prove the concept that emissions models capable of modelling changes in driver behaviour can be obtained from data that has been used as part of the vehicles emission certification process. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be established and analysed to produce empirical models of emissions per unit time versus mode of operation. These models will then be able to describe the changes in emission characteristics under different vehicle operating modes modes for a range of vehicle types.Read moreRead less
Derivation of Emissions Models for Commercial Vehicles. This research project will develop emissions models for commercial vehicles that are capable of modelling changes in driver behaviour. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be established and analysed to produce empirical models of emissions per unit time versus mode of opera ....Derivation of Emissions Models for Commercial Vehicles. This research project will develop emissions models for commercial vehicles that are capable of modelling changes in driver behaviour. Second by second emissions data from certification tests will be disaggregated into their component phases of acceleration, cruise, deceleration and idle. The emissions characteristics of these phases will be established and analysed to produce empirical models of emissions per unit time versus mode of operation. These models will then be able to describe the changes in emission characteristics under different commercial vehicle operating modes for a range of commercial vehicle types.Read moreRead less
Unlocking the Grid: the future of the electricity distribution network. This project applies to the National Research Priority of an environmentally sustainable Australia. A critical challenge for the development of power systems will be to transform them from their current dependence on conventional centralised generation to a situation where more diversified, more volatile and less controllable generation sources contribute a significant percentage of the energy. Coupled with this is a change ....Unlocking the Grid: the future of the electricity distribution network. This project applies to the National Research Priority of an environmentally sustainable Australia. A critical challenge for the development of power systems will be to transform them from their current dependence on conventional centralised generation to a situation where more diversified, more volatile and less controllable generation sources contribute a significant percentage of the energy. Coupled with this is a change in demand patterns due to both demographic and socio-economic variables as well as climate change. Careful analysis is required in the design of the future grid architecture to ensure the security of supply.Read moreRead less
Dynamic Release Mechanisms for Phosphorus in Shallow Ponds and Lakes. Phosphorus release from submerged sediments is controlled by the physical and chemical environment. The mechanisms are well understood where thermal stratification is persistent but the behaviour during transient episodes has not been properly addressed. The aim is to study a dynamic chemical and hydraulic environment and develop a model of phosphorus release under these conditions. Algal blooms, which rely on high nutrient co ....Dynamic Release Mechanisms for Phosphorus in Shallow Ponds and Lakes. Phosphorus release from submerged sediments is controlled by the physical and chemical environment. The mechanisms are well understood where thermal stratification is persistent but the behaviour during transient episodes has not been properly addressed. The aim is to study a dynamic chemical and hydraulic environment and develop a model of phosphorus release under these conditions. Algal blooms, which rely on high nutrient concentrations, pose a significant threat to waterways yet a process-based description of phosphorus release is not yet possible. The outcome will be a verified model of phosphorus release mechanisms suitable for a range of water bodies.Read moreRead less
Traffic microsimulation of ITS implementations in CBD road networks. This research project will investigate the advantages and disadvantages of using Intelligent Transport Systems (ITS) technologies in an Australian Central Business District (CBD) environment. It is often assumed that road networks and especially high activity areas such as CBDs can benefit significantly from ITS implementations. Traditionally ITS impacts have been difficult to quantify due to difficulties in isolating network ....Traffic microsimulation of ITS implementations in CBD road networks. This research project will investigate the advantages and disadvantages of using Intelligent Transport Systems (ITS) technologies in an Australian Central Business District (CBD) environment. It is often assumed that road networks and especially high activity areas such as CBDs can benefit significantly from ITS implementations. Traditionally ITS impacts have been difficult to quantify due to difficulties in isolating network effects and limitations with traditional traffic models. The project will overcome this difficulty by using a current state of the art traffic microsimulation model in order to test various ITS scenarios in a duplicate of a real world CBD.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
An integrated modelling approach for efficient management of irrigated landscapes. Northern Victoria's irrigators use a substantial portion of water from the Murray-Darling Basin, which is under mounting pressure to satisfy competing economic, social and environmental needs for water in the face of climate change. Up to 20 per cent of this water may be on-farm surface runoff and deep percolation, with poorly known spatial distributions. This project will provide reliable temporally and spatially ....An integrated modelling approach for efficient management of irrigated landscapes. Northern Victoria's irrigators use a substantial portion of water from the Murray-Darling Basin, which is under mounting pressure to satisfy competing economic, social and environmental needs for water in the face of climate change. Up to 20 per cent of this water may be on-farm surface runoff and deep percolation, with poorly known spatial distributions. This project will provide reliable temporally and spatially distributed information on surface runoff and deep percolation for Northern Victoria irrigation regions. This will inform decisions which improve water use efficiency, agricultural productivity and environmental values through optimisation of irrigation infrastructure and by better management of groundwater resources and salinity.Read moreRead less