Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/18104
Title: An investigation into sCO <inf>2</inf> compressor performance prediction in the supercritical region for power systems
Authors: Sayad Saravi, S
Tassou, SA
Keywords: supercritical CO2;turbomachinary desing;computational fluid dynamics;real gas thermodynamics
Issue Date: 18-Mar-2019
Publisher: Elsevier
Citation: Sayad Saravi, S. and Tassou, S.A. (2019) 'An investigation into sCO2 compressor performance prediction in the supercritical region for power systems', Energy Procedia, 2019, 161 pp. 403 - 411. doi: 10.1016/j.egypro.2019.02.098.
Abstract: This paper focuses on predicting centrifugal compressor performance in the supercritical region of real gas. For this purpose, thermodynamic changes have been considered in the sub-regions of the supercritical space. It is known that some properties (e.g. compressibility or density) of supercritical fluids behave anomalously in a narrow temperature-pressure band, shaped by pseudocritical lines, which start at the critical point and extend to higher T and P values. To accurately predict the performance of supercritical carbon dioxide (sCO2) turbomachinery, the fluid behavior, in three regions (liquid-like, pseudocritical and vapour-like) created by pseudocritical lines, should be considered. For this purpose, computational fluid dynamics (CFD) is employed to calculate compressor performance in different regions of the supercritical space. The selected compressor geometry is the compressor impeller tested in the Sandia sCO2 compression loop facility. The results illustrate that operating points in the liquid-like region achieve the highest pressure rise. In addition, fluctuations in two fluid properties, density and speed of sound, have been observed wherever their pseudocritical lines have been crossed. However, the reason for these variations needs more investigation. The study considers the sudden changes occurring in the supercritical region and should lead to more accurate prediction of compressor performance,.
URI: https://bura.brunel.ac.uk/handle/2438/18104
DOI: https://doi.org/10.1016/j.egypro.2019.02.098
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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