Tracing the impact of urban experimentation in water and energy domains. This proposal aims to investigate how the processes of experimenting with alternative urban infrastructure systems can lead to sustainable urban transformations. Focusing on the urban water and energy sectors, this project expects to generate new cross-sector knowledge regarding the transition dynamics associated with delivering sustainable urban futures. The anticipated outcomes of examining how innovations become mainstre ....Tracing the impact of urban experimentation in water and energy domains. This proposal aims to investigate how the processes of experimenting with alternative urban infrastructure systems can lead to sustainable urban transformations. Focusing on the urban water and energy sectors, this project expects to generate new cross-sector knowledge regarding the transition dynamics associated with delivering sustainable urban futures. The anticipated outcomes of examining how innovations become mainstream include, improved institutional strategies and enhanced policy and program interventions. This work expects to positively impact the value and associated outcomes of government and private investment in innovative urban infrastructures dedicated to advancing sustainable and resilient urban environments.Read moreRead less
Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of ....Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of a futuristic power system with high penetration of PEDs. The intended outcomes will be a model and data jointly driven methodology for high-efficient and real-time stability assessment. The methodology developed in this project will support Australia's transition to a stable, secure, and low-carbon power grid.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100274
Funder
Australian Research Council
Funding Amount
$415,675.00
Summary
Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes wil ....Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes will advance big spatiotemporal data analytics and nonlinear optimisation theory for solving decision-making tasks towards a future energy system. This should promote the Australian power industry transition to a sustainable future grid based on a digitalisation approach to efficient energy management against climate changes.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.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
Mitigating the risks of cyberattacks on cyber-physical power systems. Cyber threats are a pertinent issue facing power systems as part of national critical infrastructure. This project will develop a systematic theory to capture the dynamic risk propagation of cyberattacks on cyber-physical power systems. Focusing on the physical domain of cyber-physical power systems, the theory includes offline risk modelling with consideration of attack intentions for risk propagation of cyberattacks, an onli ....Mitigating the risks of cyberattacks on cyber-physical power systems. Cyber threats are a pertinent issue facing power systems as part of national critical infrastructure. This project will develop a systematic theory to capture the dynamic risk propagation of cyberattacks on cyber-physical power systems. Focusing on the physical domain of cyber-physical power systems, the theory includes offline risk modelling with consideration of attack intentions for risk propagation of cyberattacks, an online risk assessment method to quantify the risk propagation of cyberattacks, and resilient control strategies to mitigate cyberattack risks. The outcomes will not only advance knowledge in cyber-physical security but also facilitate an accelerated adoption of the increasing renewable energy sources into the power grid.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100056
Funder
Australian Research Council
Funding Amount
$410,154.00
Summary
Accurate Fault Location Methods for Complex Power Networks. This project aims to devise novel algorithms to tackle one of the longstanding and challenging problems in power networks; finding the fault location in power lines. Recent bushfire preventive technologies that have been installed in power networks make the fault location process extremely challenging and time-consuming, leaving communities without power for many hours in extreme heatwave conditions.
The intended outcomes of the projec ....Accurate Fault Location Methods for Complex Power Networks. This project aims to devise novel algorithms to tackle one of the longstanding and challenging problems in power networks; finding the fault location in power lines. Recent bushfire preventive technologies that have been installed in power networks make the fault location process extremely challenging and time-consuming, leaving communities without power for many hours in extreme heatwave conditions.
The intended outcomes of the project are innovative algorithms that are able to pinpoint the fault location more accurately in complex networks, with many fewer measurement devices than conventional methods. This is expected to provide significant benefits for public safety and power supply reliability.Read moreRead less
Digital energy futures: forecasting changing residential electricity demand. This project aims to understand and forecast changing digital lifestyle trends and their impact on future household electricity demand, including at peak times. The project expects to generate new knowledge by employing digital ethnography and sociological theories to investigate how changing social practices will impact on electricity sector planning. Expected outcomes include: scenarios and principles for digital ener ....Digital energy futures: forecasting changing residential electricity demand. This project aims to understand and forecast changing digital lifestyle trends and their impact on future household electricity demand, including at peak times. The project expects to generate new knowledge by employing digital ethnography and sociological theories to investigate how changing social practices will impact on electricity sector planning. Expected outcomes include: scenarios and principles for digital energy futures; an interdisciplinary energy demand forecasting methodology; and demand management tools to help the sector meet future residential consumption. This should provide significant benefits, such as lowering the cost of infrastructure spending, and helping secure affordable electricity provision.Read moreRead less
Longer-term progression of localised corrosion of critical infrastructure. This project aims to help Australian and international industry better predict the severity of localised corrosion at structural steel details, over years and decades. This is significant for the safety, reliability and economics of critical steel infrastructure, such as offshore structures and pipelines and defence facilities operating in and near marine environments. To reduce first cost, these often are not provided wi ....Longer-term progression of localised corrosion of critical infrastructure. This project aims to help Australian and international industry better predict the severity of localised corrosion at structural steel details, over years and decades. This is significant for the safety, reliability and economics of critical steel infrastructure, such as offshore structures and pipelines and defence facilities operating in and near marine environments. To reduce first cost, these often are not provided with coatings (paints) or other protection. The expected outcomes include improved scientific understanding and world-leading corrosion prediction models. Benefits can be expected for Australian industry, infrastructure and economics, and keeping Australian engineering consultants internationally competitive. Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC200100009
Funder
Australian Research Council
Funding Amount
$4,861,236.00
Summary
ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdiscip ....ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdisciplinary researchers and talented students, OPTIMA will advance an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, vanguarding a highly skilled workforce of change agents for transformation of the advanced manufacturing, energy resources, and critical infrastructure sectors.Read moreRead less