Transforming Microgrid to Virtual Power Plant –ICT Frameworks,Tools,Control. The project aims to enhance large scale renewable penetrations to national power grid by advancing control, optimization, and ancillary services of Virtual Power Plants (VPPs), considering different disruptive events including recent South Australian blackout. This project expects to create new control, frame communication architecture, develop plug and play type IoT enabled grid interfacing inverter, and optimize resou ....Transforming Microgrid to Virtual Power Plant –ICT Frameworks,Tools,Control. The project aims to enhance large scale renewable penetrations to national power grid by advancing control, optimization, and ancillary services of Virtual Power Plants (VPPs), considering different disruptive events including recent South Australian blackout. This project expects to create new control, frame communication architecture, develop plug and play type IoT enabled grid interfacing inverter, and optimize resource management for distributed VPPs. The anticipated benefits from this institutional level collaborations are that VPPs help in enhancing national power grid operations during normal and disruptive conditions when more renewables are connected and also secure benefits of consumers, prosumers, and grid operators.Read moreRead less
Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in ....Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in Australia's electricity distribution network planning and operation by considering future challenges such as integrating battery storage and electric vehicles into the grid, and thus providing reliable energy. The project expects to train next generation expert workforce for Australia's future power grid.Read moreRead less
Models for Australian Electricity Derivatives. Electricity derivatives, such as electricity futures and options are used to manage the risk associated with volatility in prices of electricity. This project aims to develop models for pricing electricity derivatives specifically suited for Australia. Because of the non-storable nature of electricity the standard option pricing principle of "no-arbitrage" does not apply to electricity options, such as caps and floors, but applies to options on elec ....Models for Australian Electricity Derivatives. Electricity derivatives, such as electricity futures and options are used to manage the risk associated with volatility in prices of electricity. This project aims to develop models for pricing electricity derivatives specifically suited for Australia. Because of the non-storable nature of electricity the standard option pricing principle of "no-arbitrage" does not apply to electricity options, such as caps and floors, but applies to options on electricity futures. Therefore a specific model is needed that takes into account the pricing principle of "no-arbitrage" and combines it with other factors that drive electricity prices. The novel element in this proposal is incorporation of the weather forecasts into the models for electricity options. As a result of this study appropriate models for electricity derivatives for various geographical regions in Australia will be developed.Read moreRead less
Thermal Storage for Built Environment. Thermal storage systems with Phase Chage Materials (PCM) can be ulilised to reduce the energy required to cool and heat buildings. The PCM used has a freezing point around 20C. Thus alowing cool summer night air to freeze the PCM overnight. During the day warmer outside air is cooled significantly as it melts the PCM. PCM systems can be retrofitted to existing systems to precool the outside air, and thus significantly reduce the energy required to cool a bu ....Thermal Storage for Built Environment. Thermal storage systems with Phase Chage Materials (PCM) can be ulilised to reduce the energy required to cool and heat buildings. The PCM used has a freezing point around 20C. Thus alowing cool summer night air to freeze the PCM overnight. During the day warmer outside air is cooled significantly as it melts the PCM. PCM systems can be retrofitted to existing systems to precool the outside air, and thus significantly reduce the energy required to cool a building. This project deals with design, simulation and optimisation of this kind of thermal storage system. A laboratory prototype system will also be built and tested.Read moreRead less
The impact of the mass-adoption of electric cars on the Australian electricity grid. This project represents the first technical study in Australia into the impact on the electric utility system of the mass adoption of electric vehicles. At present, road transport accounts for 12 per cent of greenhouse gas (GHG) emissions in Australia. The mass adoption of electric vehicles could reduce GHG in transport by up to 24 per cent when charged from the current grid or by 100 per cent if using renewable ....The impact of the mass-adoption of electric cars on the Australian electricity grid. This project represents the first technical study in Australia into the impact on the electric utility system of the mass adoption of electric vehicles. At present, road transport accounts for 12 per cent of greenhouse gas (GHG) emissions in Australia. The mass adoption of electric vehicles could reduce GHG in transport by up to 24 per cent when charged from the current grid or by 100 per cent if using renewable power. As well as receiving environmental advantages, Australia will benefit from this project through: (1) advancements in the management of the electricity distribution system by the development of a smart grid; (2) the development of principles for the placement of charging stations suitable for unique local conditions, such as Australia's long distances.Read moreRead less
Electricity demand side management: models, optimisation and customer engagement. This project will develop methods for management of electricity demand, meeting both customer expectations and electricity network needs. Implementation of these demand-side management methodologies will significantly reduce the need for expenditure on electricity network upgrades and improve the value proposition for distributed renewable energy.
Modelling patient flows through hospitals: optimizing effective use of resources. Hospitals are complex, dynamic systems confronted by increased demand in the face of shrinking real capacity. Managing such systems is currently undertaken with sub-optimal analytical support, particularly when demand and capacity are changing and resources must be manipulated to respond to such changes. In this project, the investigators will apply a mathematical modelling approach to the analysis of hospital pati ....Modelling patient flows through hospitals: optimizing effective use of resources. Hospitals are complex, dynamic systems confronted by increased demand in the face of shrinking real capacity. Managing such systems is currently undertaken with sub-optimal analytical support, particularly when demand and capacity are changing and resources must be manipulated to respond to such changes. In this project, the investigators will apply a mathematical modelling approach to the analysis of hospital patient flows. Furthermore, they will employ statistical process control methodologies to the problem of recognising and responding to changes in the flows, so that performance objectives are met. In doing this, they will give health service managers and clinicians a significant advantage in deciding how best to manage a constrained resource to maximize access, throughput and patient outcomes.Read moreRead less
Customer Responsive Risk-Managed Network Planning. The aim of this project is to reduce the cost of network delivery of electricity though a reduced network build. The cost of the network is balanced against the cost of reliability of supply. The key developments are optimisation of investment considering batteries etcetera, combined with customer load response and explicit inclusion of the uncertainties of load growth and in the response level of the customer loads. The project combines skills ....Customer Responsive Risk-Managed Network Planning. The aim of this project is to reduce the cost of network delivery of electricity though a reduced network build. The cost of the network is balanced against the cost of reliability of supply. The key developments are optimisation of investment considering batteries etcetera, combined with customer load response and explicit inclusion of the uncertainties of load growth and in the response level of the customer loads. The project combines skills of power engineering optimisation, software systems and social science. Most of the demand response programs globally have focused on a pure economic incentive for variation of customer load. This project aims to make use of recent findings on the benefits of combining community engagement with the incentives.Read moreRead less
Optimising experimental design for robust product development: a case study for high-efficiency energy generation. This project tackles key mathematical challenges to provide a powerful new methodology and tool for optimal product design, making smarter use of limited information, minimising costly trials, shortening the product cycle, and boosting the competitiveness of both the Australian manufacturing and alternative energy production industries.
Tailoring smart film for energy efficient protected cropping. Cooling cost represents a major running cost for greenhouse, preventing the wide adoption of highly beneficial protected cropping technology. This project aims at solving this critical issue by developing a world-first tailored smart film that can simultaneously reject solar heat, cool down the greenhouse and maximise the yields of crops. This is made possible by advanced spectral engineering and light management with frontier nanostr ....Tailoring smart film for energy efficient protected cropping. Cooling cost represents a major running cost for greenhouse, preventing the wide adoption of highly beneficial protected cropping technology. This project aims at solving this critical issue by developing a world-first tailored smart film that can simultaneously reject solar heat, cool down the greenhouse and maximise the yields of crops. This is made possible by advanced spectral engineering and light management with frontier nanostructures combined with a scalable and low cost manufacturing process. Deliverables of the project include game-changing energy efficient solutions for protected cropping and marketable smart films readily integratable with existing greenhouse for dramatic energy saving and immediate economic and social benefits.Read moreRead less