Numerical and experimental studies of the gas-particle flow and dust collection in electrostatic precipitation systems. This project will generate an integrated computer model to describe the gas-solid flow and dust collection in an ElectroStatic Precipitator (ESP). The model can be used to aid the design and control of ESP systems which are widely used for dust collection, leading to more competitive energy and related industries.
Aerodynamic enhancement of the capture of fine particle emissions and gaseous pollutants by sorbents. Fine particulate emissions alone, and just within Australia's four largest cities, are estimated to be responsible for some 1600 deaths annually, and are a leading cause of asthma and other lung disease. Hence the economic and social benefits of greatly reducing fine particulate emissions is enormous. Similar benefits can be expected to arise from the enhanced capture of SOx, NOx and heavy metal ....Aerodynamic enhancement of the capture of fine particle emissions and gaseous pollutants by sorbents. Fine particulate emissions alone, and just within Australia's four largest cities, are estimated to be responsible for some 1600 deaths annually, and are a leading cause of asthma and other lung disease. Hence the economic and social benefits of greatly reducing fine particulate emissions is enormous. Similar benefits can be expected to arise from the enhanced capture of SOx, NOx and heavy metals. Many of these pollutants also contribute to the greenhouse effect, so the international exploitation of the technology will also help to mitigate climate change. Should suitable sorbents be developed for CO2 capture, the technology will also enhance carbon capture and storage.Read moreRead less
Unravelling the enigma of turbulence by integrating simulation & modelling. This project will transform how turbulence and flow-induced noise is understood and predicted to help meet the challenge of ever-growing transport and energy demands in an affordable and sustainable way. This will be achieved by integrating the latest simulation advances with unique machine-learning approaches. The expected outcome will be a paradigm shift in how turbulence and noise models are created and used, informed ....Unravelling the enigma of turbulence by integrating simulation & modelling. This project will transform how turbulence and flow-induced noise is understood and predicted to help meet the challenge of ever-growing transport and energy demands in an affordable and sustainable way. This will be achieved by integrating the latest simulation advances with unique machine-learning approaches. The expected outcome will be a paradigm shift in how turbulence and noise models are created and used, informed by new scientific knowledge and data. The proliferation of these new models will allow the design and operation of more efficient, reliable and quieter technologies in the aerospace, naval and energy industries, benefitting the Australian economy and environment, and raise the international profile of our scientists.Read moreRead less
Understanding rough-wall flows and turbulent mixing for improved models. In the absence of a reliable predictive capability for turbulent heat transfer, design engineers are currently forced to incorporate safety margins into their calculations to compensate for aero-thermal loading uncertainty, which ultimately limits the opportunities for high-efficiency designs. This project employs high-fidelity simulations and experiments of real-world heat transfer problems, as identified by our partner or ....Understanding rough-wall flows and turbulent mixing for improved models. In the absence of a reliable predictive capability for turbulent heat transfer, design engineers are currently forced to incorporate safety margins into their calculations to compensate for aero-thermal loading uncertainty, which ultimately limits the opportunities for high-efficiency designs. This project employs high-fidelity simulations and experiments of real-world heat transfer problems, as identified by our partner organisation, MHI, an industry leader, combined with a novel data-driven model development framework. Outcomes will be a fundamental advance in our predictive capability and understanding of turbulent heat transfer, which in turn will permit more reliable, efficient and durable designs for energy generation.Read moreRead less
Special Research Initiatives - Grant ID: SR0354781
Funder
Australian Research Council
Funding Amount
$40,000.00
Summary
Research Network for Engineering a Secure Australia (RNESA). The Research Network for Engineering a Secure Australia (RNESA) is a multi-disciplinary collaboration established to strengthen Australia's science and technology capacity for protecting the Nation's critical infrastructure from natural or human-caused disasters. RNESA will facilitate a knowledge sharing network for government, universities and the private sector to produce innovative engineering solutions to the emerging security prob ....Research Network for Engineering a Secure Australia (RNESA). The Research Network for Engineering a Secure Australia (RNESA) is a multi-disciplinary collaboration established to strengthen Australia's science and technology capacity for protecting the Nation's critical infrastructure from natural or human-caused disasters. RNESA will facilitate a knowledge sharing network for government, universities and the private sector to produce innovative engineering solutions to the emerging security problems relating to the safety of critical infrastructure. This initiative will draw together researchers across disciplines to identify a roadmap for future R&D in this area. RNESA's final outcomes will lead to multi-hazard mitigation strategies and a real-time crisis support network to enable the nation to manage potential disasters.Read moreRead less
Taming turbulence with long-chain polymers. Aerodynamics, hydrodynamics and the efficiency of pumping oil, gas and water through long pipelines can be dramatically improved by reducing the high friction loss caused by turbulent flow. This project will develop the world's largest laboratory turbulent pipe flow facility to test efficiency gains and limitations of polymer addition.
Towards an event based model of combustion generated sound. This proposal will develop new tools for predicting combustion generated sound. Since combustion noise often limits system performance, these new tools could be used to significantly reduce emissions of greenhouse gases and other pollutants from power generation and transportation.
Fuel stratification to enable higher load operation of homogeneous charge compression ignition engines. The project aims to provide knowledge needed to solve a problem impeding the development of an efficient and clean engine concept known as homogeneous charge compression ignition. Fuel stratification using alternative fuels will be studied fundamentally and used to reduce the problematic rapid pressure changes that occur in these engines.
The stabilisation of lifted jet flames in hot oxidiser. The project will contribute fundamental insights on a crucial phenomenon in diesel engines: the detachment of the flame from the fuel nozzle, which strongly affects harmful emissions of nitrogen oxides (NOx) and particulates. Detailed numerical simulations will be used to reveal the mechanism of flame stabilisation, knowledge that will aid the development of cleaner engines.
Fluid Transport in Materials of Nanoscale Dimensions. This project aims to transform the modelling of fluid transport in materials of nanoscale dimension by determining the coupled interfacial heat and mass-transfer barriers, which critically influence the transport. The outcome will not only be new knowledge on the effects of inherent structural distortion and of the barriers on the fluid flow, but also cutting-edge techniques to estimate system size-dependent transport coefficients in nanoscal ....Fluid Transport in Materials of Nanoscale Dimensions. This project aims to transform the modelling of fluid transport in materials of nanoscale dimension by determining the coupled interfacial heat and mass-transfer barriers, which critically influence the transport. The outcome will not only be new knowledge on the effects of inherent structural distortion and of the barriers on the fluid flow, but also cutting-edge techniques to estimate system size-dependent transport coefficients in nanoscale systems. These will be achieved through a combination of targeted molecular dynamics simulations and experiment, and will have far-reaching implications for nanotechnology and emerging processes in catalysis, gas separation, human health and nanofluidics, and enable design of more efficient systems.Read moreRead less