Browsing by Author "Yan, Yong"

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    Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – A state-of-the-art review
    (Royal Society of Chemistry, 2021-11-01) Yan, Yongliang; Borhani, Tohid N.; Subraveti, Sai Gokul; Pai, Kasturi Nagesh; Prasad, Vinay; Rajendran, Arvind; Nkulikiyinka, Paula; Asibor, Jude Odianosen; Zhang, Zhien; Shao, Ding; Wang, Lijuan; Zhang, Wenbiao; Yan, Yong; Ampomah, William; You, Junyu; Wang, Meihong; Anthony, Edward J.; Manovic, Vasilije; Clough, Peter T.
    Carbon capture, utilisation and storage (CCUS) will play a critical role in future decarbonisation efforts to meet the Paris Agreement targets and mitigate the worst effects of climate change. Whilst there are many well developed CCUS technologies there is the potential for improvement that can encourage CCUS deployment. A time and cost-efficient way of advancing CCUS is through the application of machine learning (ML). ML is a collective term for high-level statistical tools and algorithms that can be used to classify, predict, optimise, and cluster data. Within this review we address the main steps of the CCUS value chain (CO2 capture, transport, utilisation, storage) and explore how ML is playing a leading role in expanding the knowledge across all fields of CCUS. We finish with a set of recommendations for further work and research that will develop the role that ML plays in CCUS and enable greater deployment of the technologies.
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    OxyCAP UK: Oxyfuel Combustion - academic Programme for the UK
    (Elsevier, 2014-12-31) Chalmers, Hannah L.; Al-Jeboori, Mohamad J.; Anthony, Ben; Balusamy, Saravanan ; Black, Stuart K.; Cavallo Marincola, F.; Clements, Alastair G.; Darabkhani, Hamidreza Gohari ; Dennis, John S.; Farrow, Timipere S.; Fennell, Paul S.; Franchetti, Benjamin; Gao, Lingjun; Gibbins, Jon R.; Hochgreb, Simone; Hossain, Md Moinul; Jurado Pontes, Nelia; Kempf, Andreas M.; Liu, Hao; Lu, Gang; Ma, Lin; Navarro-Martinez, Salvador; Nimmo, William; Oakey, John E.; Pranzitelli, Alessandro; Scott, Stuart A.; Snape, Colin E.; Sun, Chenggong; Sun, Duo; Szuhánszki, Janos; Trabadela, Ignacio; Wigley, Fraser; Yan, Yong; Pourkashanian, Mohamed M.
    The OxyCAP-UK (Oxyfuel Combustion - Academic Programme for the UK) programme was a £2 M collaboration involving researchers from seven UK universities, supported by E.On and the Engineering and Physical Sciences Research Council. The programme, which ran from November 2009 to July 2014, has successfully completed a broad range of activities related to development of oxyfuel power plants. This paper provides an overview of key findings arising from the programme. It covers development of UK research pilot test facilities for oxyfuel applications; 2-D and 3-D flame imaging systems for monitoring, analysis and diagnostics; fuel characterisation of biomass and coal for oxyfuel combustion applications; ash transformation/deposition in oxyfuel combustion systems; materials and corrosion in oxyfuel combustion systems; and development of advanced simulation based on CFD modelling.