A Mathematical Approach to Flexible Management of Open Pit Mines with Uncertain Geology and Unpredictable Demand. This project will create new mathematical algorithms to flexibly manage open pit mining projects. The development of strategic plans for mining operations is a highly complex task, based on incomplete geological information and uncertain future commodity demand. The smart mathematics we create will allow Australia to capitalise on upturns in international demand, while limiting unavo ....A Mathematical Approach to Flexible Management of Open Pit Mines with Uncertain Geology and Unpredictable Demand. This project will create new mathematical algorithms to flexibly manage open pit mining projects. The development of strategic plans for mining operations is a highly complex task, based on incomplete geological information and uncertain future commodity demand. The smart mathematics we create will allow Australia to capitalise on upturns in international demand, while limiting unavoidable negative outcomes, by flexibly adjusting the mining operation to prevailing geological and economic conditions. Australia's mineral exports are worth over $50b annually to the Australian economy. Our techniques will better manage Australia's mining projects and capture new, emerging markets, significantly impacting on Australia's balance of trade.Read moreRead less
Optimum location of FACTS devices with advanced control scheme for improving the security of complex power grid. Prevention of blackouts is one of the highest priorities of the electricity industry. One of the fundamental reasons for the recent blackouts in long transmission network is inter-area oscillations. Queensland's long transmission network is a vital part of the Australian electricity grid and is vulnerable to inter-area oscillations. There is a need for a comprehensive approach to inve ....Optimum location of FACTS devices with advanced control scheme for improving the security of complex power grid. Prevention of blackouts is one of the highest priorities of the electricity industry. One of the fundamental reasons for the recent blackouts in long transmission network is inter-area oscillations. Queensland's long transmission network is a vital part of the Australian electricity grid and is vulnerable to inter-area oscillations. There is a need for a comprehensive approach to investigate the effect of inter-area oscillation that contributes to blackouts. Focussing the Queensland network, this project will provide a complete assessment tool for the optimum location of FACTS devices with modern and advanced control schemes in improving the security of complex interconnected 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
Investigation of Demand Diversity and Appropriate New Generation Entry into Electricity Market Simulation Tools. The power industry is currently facing a great challenge in providing
better market operation and management following recent devastating blackouts in North America, UK and Italy. This project aims at investigating major mechanisms of market simulation techniques including impacts from load diversity and approaches to defining appropriate new generation entry into the market. From th ....Investigation of Demand Diversity and Appropriate New Generation Entry into Electricity Market Simulation Tools. The power industry is currently facing a great challenge in providing
better market operation and management following recent devastating blackouts in North America, UK and Italy. This project aims at investigating major mechanisms of market simulation techniques including impacts from load diversity and approaches to defining appropriate new generation entry into the market. From the outcome of this project the National Electricity Market will be able to manage the uncertainties of load diversity (one of the most common blackout causes), and efficiently minimise risk associated with decisions on new generation entry to enhance electricity supply infrastructure.
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POWER DELIVERY IN A DEREGULATED ENVIRONMENT. The recent deregulation of the power industry has opened up new technical challenges that must be addressed in order to ensure fair and equitable market operation. Significant among these is the availability of alternative routes for the delivery of power, between and across different ownerships. In this scenario, a major challenge is to determine the minimum cost contractual arrangement for the delivery of required power. To achieve this, new techniq ....POWER DELIVERY IN A DEREGULATED ENVIRONMENT. The recent deregulation of the power industry has opened up new technical challenges that must be addressed in order to ensure fair and equitable market operation. Significant among these is the availability of alternative routes for the delivery of power, between and across different ownerships. In this scenario, a major challenge is to determine the minimum cost contractual arrangement for the delivery of required power. To achieve this, new techniques for the analysis of power systems are required. This proposal aims to provide solutions to these analysis problems and hence to provide software to assist with market operation.Read moreRead less
Stability Analysis and Control for Large Scale Power Systems Incorporating FACTS Devices. Power system stability analysis and control is one of the most important issues in power systems. The problem becomes more serious in power systems with long transmission lines, such as the transmission systems in Australia. The ability of a power system to maintain stability depends to a large extent on the controls available on the system. Consequently, the study and design of power system controls are ve ....Stability Analysis and Control for Large Scale Power Systems Incorporating FACTS Devices. Power system stability analysis and control is one of the most important issues in power systems. The problem becomes more serious in power systems with long transmission lines, such as the transmission systems in Australia. The ability of a power system to maintain stability depends to a large extent on the controls available on the system. Consequently, the study and design of power system controls are very important for expanding systems. This project aims at investigating into stability assessment and control of large scale interconnected power systems incorporating FACTS (Flexible AC Transmission System) devices in a deregulated electricity market.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
Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be ....Power systems with diverse generation - implications, control and capability. This research will generate a systematic methodology to handle the impact of the renewable energy sources on the NSW power grid. It increases our understanding of the impact of climate change policies relating to mandatory targets for greenhouse gas reduction helping to build Australia’s research capacity in the national priority area of an environmentally sustainable Australia. The anticipated methodology can also be seen as protecting the security of power infrastructure as well. Maintaining a critical energy infrastructure protects our way of life and ensures ongoing social, economic and environmental well being of Australia.Read moreRead less
Automated On-Line Analysis and Contaminant Detection in Mineral Ore Processing. On-belt analysis is a key to efficient functioning of several
industries involved in the mining and use of minerals. It provides
chemical analysis of the minerals as they run through the instrument
on a conveyer belt. It permits quality control and detection of
impurities. The Scantech on-line analyser is at the forefront of this
technology. Our aim is to produce novel techniques to significantly
improve and m ....Automated On-Line Analysis and Contaminant Detection in Mineral Ore Processing. On-belt analysis is a key to efficient functioning of several
industries involved in the mining and use of minerals. It provides
chemical analysis of the minerals as they run through the instrument
on a conveyer belt. It permits quality control and detection of
impurities. The Scantech on-line analyser is at the forefront of this
technology. Our aim is to produce novel techniques to significantly
improve and make more efficient the processing of data from the
analyser. A particular focus will be quicker and improved calibration
of the instrument. These techniques will increase the accuracy and
speed while reducing the costs of such analysers, thus retaining and
enhancing their competitiveness in the global market.
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Understanding cycles in mineral commodity price, a market model with uncertainty. Mining accounts for more than 8% of Australia's GDP, and almost 50% of Australia's total merchandise exports. Understanding phenomenological mechanisms for price fluctuations and using our dynamic price model can help determine better timing of investments in mining infrastructure. This knowledge will help Australia benefit from the upside of commodity 'cycles', super or not. The market model that will be develope ....Understanding cycles in mineral commodity price, a market model with uncertainty. Mining accounts for more than 8% of Australia's GDP, and almost 50% of Australia's total merchandise exports. Understanding phenomenological mechanisms for price fluctuations and using our dynamic price model can help determine better timing of investments in mining infrastructure. This knowledge will help Australia benefit from the upside of commodity 'cycles', super or not. The market model that will be developed in this project can be used to assist in better planning for commodity cycle upside, improving the overall efficiency of capital utilisation in the long term.Read moreRead less