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Scheme : Linkage Projects
Research Topic : Flow Analysis
Field of Research : Optimisation
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  • Researchers (36)
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP210100290

    Funder
    Australian Research Council
    Funding Amount
    $285,638.00
    Summary
    Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable. These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and be .... Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable. These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and better use of renewable energy sources, with significant cost savings for railways and the wider community.
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    Funded Activity

    Linkage Projects - Grant ID: LP0562427

    Funder
    Australian Research Council
    Funding Amount
    $72,444.00
    Summary
    A graphical simulation package for optimal management and risk assessment in urban stormwater harvesting systems. We will develop a Scalar Vector Graphics (SVG) simulation tool for optimal management and risk assessment in urban stormwater harvesting and utilisation schemes. The generic model will be applied to existing and proposed schemes within the City of Salisbury (CoS) and will include a capture dam, one or more storage dams and an aquifer storage and recovery (ASR) facility. The discret .... A graphical simulation package for optimal management and risk assessment in urban stormwater harvesting systems. We will develop a Scalar Vector Graphics (SVG) simulation tool for optimal management and risk assessment in urban stormwater harvesting and utilisation schemes. The generic model will be applied to existing and proposed schemes within the City of Salisbury (CoS) and will include a capture dam, one or more storage dams and an aquifer storage and recovery (ASR) facility. The discrete state vector will be the content of each storage unit and the daily transition will be driven by a new stochastic rainfall model (SRM). The objective will be to find a practical management policy that minimises Conditional Value-at-Risk (CVaR).
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    Funded Activity

    Linkage Projects - Grant ID: LP0884005

    Funder
    Australian Research Council
    Funding Amount
    $160,000.00
    Summary
    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.
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    Funded Activity

    Linkage Projects - Grant ID: LP0347881

    Funder
    Australian Research Council
    Funding Amount
    $71,099.00
    Summary
    A Robust Optimization Technique for Identifying Geomechanical Parameters Using In-situ Measurements. The aim of this project is to develop a robust optimisation technique for identifying geomechanical parameters for subsequent stability analysis of rock structures in particular open pits. The development involves a novel solution method based on current work in finite element method and large-scale optimisation with partial differential equation constraints. The outcomes of the project will prov .... A Robust Optimization Technique for Identifying Geomechanical Parameters Using In-situ Measurements. The aim of this project is to develop a robust optimisation technique for identifying geomechanical parameters for subsequent stability analysis of rock structures in particular open pits. The development involves a novel solution method based on current work in finite element method and large-scale optimisation with partial differential equation constraints. The outcomes of the project will provide a sophisticated numerical technique for geotechnical engineers/scientists to determine geomechanical parameters accurately from in-situ observation and displacement measurements, leading to the optimal design of rock structures in subsequent analysis.
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    Funded Activity

    Linkage Projects - Grant ID: LP0882276

    Funder
    Australian Research Council
    Funding Amount
    $153,762.00
    Summary
    Robust Optimal Asset Liability Management via Stochastic Control Theory. The Australian federal and state governments are strongly exposed to the Australian and international investment markets, either directly or through entities such as the Future Fund, state-owned insurers and superannuation schemes. Additionally, the investment pool represented by individual Australian's superannuation savings managed by non-government organisations is significant. Robust and effective management of these .... Robust Optimal Asset Liability Management via Stochastic Control Theory. The Australian federal and state governments are strongly exposed to the Australian and international investment markets, either directly or through entities such as the Future Fund, state-owned insurers and superannuation schemes. Additionally, the investment pool represented by individual Australian's superannuation savings managed by non-government organisations is significant. Robust and effective management of these assets in order to meet future liabilities of these funds are essential to a stable Australian economy. This research has the potential to be a key component of reliable investment management, helping make Australia an important investment hub.
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    Funded Activity

    Linkage Projects - Grant ID: LP0455646

    Funder
    Australian Research Council
    Funding Amount
    $70,668.00
    Summary
    The design and development of a novel high power-to-weight actuator. Powerful and compact actuators are becoming increasingly in demand due to the sophistication in a range of uses varying from aerospace to automotive accessories. The aim of this project is to develop an actuator with high performance and power-to-weight ratio, suitable for use in cutting-edge applications. In the first instance, the focus will be on developing an automotive mirror actuator in close collaboration with the indust .... The design and development of a novel high power-to-weight actuator. Powerful and compact actuators are becoming increasingly in demand due to the sophistication in a range of uses varying from aerospace to automotive accessories. The aim of this project is to develop an actuator with high performance and power-to-weight ratio, suitable for use in cutting-edge applications. In the first instance, the focus will be on developing an automotive mirror actuator in close collaboration with the industrial partner, but the generic research outcomes will be applicable to development of actuators for other purposes. The new generation actuators will contribute to Australian manufacturing exports to become internationally competitive.
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    Funded Activity

    Linkage Projects - Grant ID: LP0884070

    Funder
    Australian Research Council
    Funding Amount
    $443,170.00
    Summary
    Data and Job Scheduling in Large-Scale Distributed Systems. Distributed computing systems are the platform of choice for many applications. In these systems, applications are submitted by a large number of users that compete for the shared heterogeneous resources (computers, storage communication links, etc.). Thus, a distributed system can be viewed as a collection of computing and communication resources shared by active users. Towards this end, a new generation of algorithms and software tool .... Data and Job Scheduling in Large-Scale Distributed Systems. Distributed computing systems are the platform of choice for many applications. In these systems, applications are submitted by a large number of users that compete for the shared heterogeneous resources (computers, storage communication links, etc.). Thus, a distributed system can be viewed as a collection of computing and communication resources shared by active users. Towards this end, a new generation of algorithms and software tools need to be developed for the efficient utilisation of these systems through an appropriate allocation of the available resources to competing applications and users. This project is a major step in this direction.
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    Showing 1-7 of 7 Funded Activites

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