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Research Topic : Mass spectometry
Australian State/Territory : NSW
Socio-Economic Objective : Other
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  • Funded Activity

    Discovery Projects - Grant ID: DP0774651

    Funder
    Australian Research Council
    Funding Amount
    $365,000.00
    Summary
    A Fundamental Study on Redox Behaviour of Oxygen Carriers in Chemical Looping Combustion. Our goal here is to acquire fundamental knowledge about the redox behaviour of metal oxide oxygen carriers which, arguably, underpins the feasibility of the Chemical Looping Combustion (CLC) concept. Although the proposed work is fundamental and will contribute to the advancement of knowledge, the results will have immediate practical applications in power generation industry at both national and internatio .... A Fundamental Study on Redox Behaviour of Oxygen Carriers in Chemical Looping Combustion. Our goal here is to acquire fundamental knowledge about the redox behaviour of metal oxide oxygen carriers which, arguably, underpins the feasibility of the Chemical Looping Combustion (CLC) concept. Although the proposed work is fundamental and will contribute to the advancement of knowledge, the results will have immediate practical applications in power generation industry at both national and international levels. This should significantly contribute to the Australian Government's efforts in producing world class solutions for abatement of greenhouse emissions (Research Priority 1: An Environmentally Sustainable Australia, Priority Goal 1.4 - Reducing and capturing emissions in transport and energy generation).
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    Funded Activity

    Linkage Projects - Grant ID: LP0347399

    Funder
    Australian Research Council
    Funding Amount
    $69,099.00
    Summary
    OPTIMISATION OF COMPACT BOILING HEAT EXCHANGERS USING ARTIFICIAL NEURAL NETWORK. Compact heat exchangers are increasingly considered for duties in many industrial applications, involving phase change processes of boiling and condensation. In many cases such applications are completely new and no previous experience or information is available for constructive design of compact heat exchangers. This project aims to develop a commercially-viable design methodology that will be innovative and novel .... OPTIMISATION OF COMPACT BOILING HEAT EXCHANGERS USING ARTIFICIAL NEURAL NETWORK. Compact heat exchangers are increasingly considered for duties in many industrial applications, involving phase change processes of boiling and condensation. In many cases such applications are completely new and no previous experience or information is available for constructive design of compact heat exchangers. This project aims to develop a commercially-viable design methodology that will be innovative and novel with in mind of robust and speedy computations of key design parameters of compact boiling heat exchangers through the artificial neural networks (ANN) model and maintaining the inherent accuracy associated with the solutions of the boiling flow and heat transfer processes from computational fluid dynamics (CFD) and validated using experimental data. It will provide a cutting edge to the Industry Partner to compete successfully on the local and global market fronts in designing and manufacturing compact boiling heat exchangers.
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