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Research Topic : non-parametric framework
Field of Research : Mechanical Engineering
Australian State/Territory : SA
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Energy Generation, Conversion and Storage Engineering (2)
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  • Funded Activity

    Linkage Projects - Grant ID: LP110200060

    Funder
    Australian Research Council
    Funding Amount
    $750,000.00
    Summary
    Investigation of the coupled dependence of concentrated solar radiation and combustion in a novel solar hybrid technology. The project will develop the models necessary for the optimisation of a novel solar-combustion hybrid technology and a novel heat exchanger component. It will deliver a solar thermal technology that lowers the cost of solar energy with immediate potential in off-grid sites, such as in remote mines, in Australia and throughout the world.
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    Funded Activity

    Discovery Projects - Grant ID: DP190101712

    Funder
    Australian Research Council
    Funding Amount
    $520,000.00
    Summary
    Adaptation of carbon free fuels to high temperature industrial processes. This project aims to deepen our understanding of the underpinning scientific and engineering solutions required to adapt carbon free renewable fuels to high temperature industrial processes. The project will advance the knowledge base of innovative strategies, such as fuel blending and oxidant stream vitiation needed to replace fossil based fuels with alternatives such as hydrogen, or ammonia. Advance experimental and comp .... Adaptation of carbon free fuels to high temperature industrial processes. This project aims to deepen our understanding of the underpinning scientific and engineering solutions required to adapt carbon free renewable fuels to high temperature industrial processes. The project will advance the knowledge base of innovative strategies, such as fuel blending and oxidant stream vitiation needed to replace fossil based fuels with alternatives such as hydrogen, or ammonia. Advance experimental and computational tools will be used to investigate the controlling parameters to facilitate adaptation including burning characteristics, modes of heat transfer and pollutant emissions. The project will generate deeper understanding of the proposed approaches, detailed and unique high fidelity data, and suitable predictive models.
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