Browsing by Author "Liu, Hao"

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    Coupling detailed radiation model with process simulation in Aspen Plus: A case study on fluidized bed combustor
    (Elsevier, 2017-08-31) Hu, Yukun; Wang, Jihong; Tan, C. K.; Sun, Chenggong; Liu, Hao
    While providing a fast and accurate tool for simulating fluidized beds, the major limitations of classical zero-dimensional ideal reactor models used in process simulations become irreconcilable, such as models built into commercial software (e.g. Aspen Plus®). For example, the limitations of incorporating heat absorption by the water wall and super-heaters and inferring thermal reciprocity between each reactor model/module. This paper proposes a novel modelling approach to address these limitations by incorporating an external model that marries the advantages of the zone method and Aspen Plus to the greatest extent. A steady state operation of a 0.3 MW atmospheric bubbling fluidized-bed combustor test rig was simulated using the developed modelling approach and the results were compared with experimental data. The comparison showed that the predictions were in agreement with the measurements. Further improvement is to be expected through incorporating more realistic zoned geometry and more complex reaction mechanisms. In addition, the developed model has a relatively modest computing demand and hence demonstrates its potential to be incorporated into process simulations of a whole power plant.
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    Further improvement of fluidized bed models by incorporating zone method with aspen plus interface
    (Elsevier, 2017-06-01) Hu, Yukun; Wang, Jihong; Tan, Chee Keong; Sun, Chenggong; Liu, Hao
    While providing a fast and accurate tool of simulating fluidized beds, the major limitation of classical zero-dimensional ideal reactor models used in process simulators, such as models built into commercial software (e.g. Aspen Plus®), has been the difficulties of involving thermal reciprocity between each reactor model and incorporating heat absorption by the water wall and super-heaters which is usually specified as model inputs rather than predicted by the models themselves. This aspect is of particular importance to the geometry design and evaluation of operating conditions and flexibility of fluidized beds. This paper proposes a novel modelling approach to resolve this limitation by incorporating an external model that marries the advantages of zone method and Aspen Plus in a robust manner. The improved model has a relatively modest computing demand and hence may be incorporated feasibly into dynamic simulations of a whole power plant.
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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.