Low emission iron and steelmaking using hydrogen to pre-reduce lump ore. This project aims to develop and apply a new route of lump iron ore pre-reduction with hydrogen or H2-enriched gases for ironmaking to minimise CO2 emission from steel production. The route will be built up on the base of H2 reduction kinetics of iron ore and with novel technologies such as CO2 recycle and H2-heating using hot blast, underpinning the hydrogen economy by addressing the environmental concerns in mineral and s ....Low emission iron and steelmaking using hydrogen to pre-reduce lump ore. This project aims to develop and apply a new route of lump iron ore pre-reduction with hydrogen or H2-enriched gases for ironmaking to minimise CO2 emission from steel production. The route will be built up on the base of H2 reduction kinetics of iron ore and with novel technologies such as CO2 recycle and H2-heating using hot blast, underpinning the hydrogen economy by addressing the environmental concerns in mineral and steel industries. It is not only significant for low-carbon steel production, but also for better fundamental understanding to develop the future zero-emission iron and steelmaking with hydrogen. The project will be very beneficent because it increases the use of lump iron ore and expends Australian export of iron ores.Read moreRead less
Data-driven modelling of complex reactive flows. Complex reactive flow is dominant in many chemicals, physical and biological processes and should be optimised online for operational efficiency and stability, yet it is hindered by the lack of reliable model techniques. The project tackles this challenge by developing a next-generation data-driven modelling approach via integrating continuum/discrete-scale fluid-particle dynamics with system/control theories, supported by lab/plant experiments. D ....Data-driven modelling of complex reactive flows. Complex reactive flow is dominant in many chemicals, physical and biological processes and should be optimised online for operational efficiency and stability, yet it is hindered by the lack of reliable model techniques. The project tackles this challenge by developing a next-generation data-driven modelling approach via integrating continuum/discrete-scale fluid-particle dynamics with system/control theories, supported by lab/plant experiments. Driven by online data, the generic approach can open up a powerful way to reliably describe the inner state of reactors and online predict operation anomalies. The outcomes can help transform a range of industries to smart manufacturing and design, which is vital to Australia's technological future.Read moreRead less