Open Access
Issue
E3S Web Conf.
Volume 312, 2021
76th Italian National Congress ATI (ATI 2021)
Article Number 08010
Number of page(s) 10
Section Systems for Sustainable Energy Generation
DOI https://doi.org/10.1051/e3sconf/202131208010
Published online 22 October 2021
  1. M. T. Dunham and B. D. Iverson, “High-efficiency thermodynamic power cycles for concentrated solar power systems,” Renewable and Sustainable Energy Reviews, vol. 30. Elsevier Ltd, pp. 758–770, 2014, DOI: 10.1016/j.rser.2013.11.010. [CrossRef] [Google Scholar]
  2. S. S. Saravi and S. A. Tassou, “An investigation into sCO2 compressor performance prediction in the supercritical region for power systems,” in Energy Procedia, 2019, vol. 161, pp. 403–411, DOI: 10.1016/j.egypro.2019.02.098. [CrossRef] [Google Scholar]
  3. “Scarabeusproject.” https://www.scarabeusproject.eu/ [Google Scholar]
  4. J. Gross and G. Sadowski, “Modeling polymer systems using the perturbed-chain statistical associating fluid theory equation of state,” Ind. Eng. Chem. Res., vol. 41, no. 5, pp. 1084–1093, Mar. 2002, DOI: 10.1021/ie010449g. [CrossRef] [Google Scholar]
  5. A. M. A. Dias et al., “Vapor - Liquid equilibrium of carbon dioxide - Perfluoroalkane mixtures: Experimental data and SAFT modeling,” Ind. Eng. Chem. Res., vol. 45, no. 7, pp. 2341–2350, Mar. 2006, DOI: 10.1021/ie051017z. [CrossRef] [Google Scholar]
  6. G. Di Marcoberardino et al., “Experimental and analytical procedure for the characterization of innovative working fluids for power plants applications,” Appl. Therm. Eng., vol. 178, 2020, DOI: 10.1016/j.applthermaleng.2020.115513. [CrossRef] [Google Scholar]
  7. F. Crespi, D. Sanchez, J. M. Rodriguez, and G. Gavagnin, “A thermo-economic methodology to select sCO2 power cycles for CSP applications,” Renew. Energy, vol. 147, pp. 2905–2912, Mar. 2020, DOI: 10.1016/j.renene.2018.08.023. [CrossRef] [Google Scholar]
  8. R. Span and W. Wagner, “A new equation of state for carbon dioxide covering the fluid region from the triple-point temperature to 1100 K at pressures up to 800 MPa,” J. Phys. Chem. Ref. Data, vol. 25, no. 6, pp. 1509–1596, Nov. 1996, DOI: 10.1063/1.555991. [CrossRef] [Google Scholar]
  9. N. T. Weiland, B. W. Lance, and S. R. Pidaparti, “SCO2 power cycle component cost correlations from DOE data spanning multiple scales and applications,” in Proceedings of the ASME Turbo Expo, 2019, vol. 9, DOI: 10.1115/GT2019-90493. [Google Scholar]
  10. M. Binotti, M. Astolfi, S. Campanari, G. Manzolini, and P. Silva, “Preliminary assessment of sCO2 cycles for power generation in CSP solar tower plants,” Appl. Energy, vol. 204, pp. 1007–1017, 2017, DOI: 10.1016/j.apenergy.2017.05.121. [CrossRef] [Google Scholar]
  11. E. Macchi, “On the Influence of the Number of Stages on the Efficiency of Axial Flow Turbines,” 1982. Available: http://asmedigitalcollection.asme.org/GT/proceedings-pdf/GT1982/79566/V001T01A016/2394006/v001t01a016-82-gt-43.pdf [Google Scholar]
  12. D. Gadenz, “Performance analysis of axial-flow turbines for supercritical CO2-based power cycles.” Master Thesis, Politecnico di Milano, 2018 [Google Scholar]

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