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Analysis of the Thermodynamic Potential of Supercritical Carbon Dioxide Cycles: A Systematic Approach

[+] Author Affiliations
Francesco Crespi, Giacomo Gavagnin, David Sánchez

University of Seville, Seville, Spain

Gonzalo S. Martínez

AICIA, Seville, Spain

Paper No. GT2017-64418, pp. V009T38A020; 14 pages
doi:10.1115/GT2017-64418
From:
  • ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition
  • Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy
  • Charlotte, North Carolina, USA, June 26–30, 2017
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-5096-1
  • Copyright © 2017 by ASME

abstract

Since the renewed interest in supercritical carbon dioxide cycles, a large number of cycle layouts have been proposed in literature. These analyses, which are essentially theoretical, consider different operating conditions and modelling assumptions and thus the results are not comparable.

There are also works that aim to provide a fair comparison between different cycles in order to assess which one is most efficient. These analyses are very interesting but, usually, combine thermodynamic and technical restrictions thus making it difficult to draw solid and general conclusions with regards to which the cycle of choice in the future should be .

With this background, the present work provides a systematic thermodynamic analysis of twelve supercritical carbon dioxide cycles under similar working conditions, with and without technical restriction in terms of pressure and/or temperature. This yields very interesting conclusions regarding which the most interesting cycles are amongst those proposed in literature. Also, useful recommendations are extracted from the parametric analysis with respect to the directions that must be followed when searching for more efficient cycles.

The analysis is based on efficiency and specific work diagrams with respect to pressure ratio and turbine inlet temperature in order to enhance their applicability to plant designs driven by fuel economy and/or footprint.

Copyright © 2017 by ASME

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