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THERMAL ANALYSIS IN ENERGY GENERATION CYCLES

This study presents an analysis of the thermodynamic properties of a Rankine cycle, including its characteristics and importance within current technological and sustainable developments. Initially, an automated spreadsheet was developed to generate graphs and information on system consumption and performance, enabling quick and reliable analysis. As an advance, the spreadsheet calculations were improved and transferred to the MATLAB environment, resulting in a more robust and automated simulation of the cycle. This implementation enabled not only the total automation of calculations, but also the creation of more sophisticated thermodynamic graphs, expanding the analysis of the processes. An in-depth literature review was also conducted, which theoretically supported all stages. This phase concludes with the delivery of an automated and didactic simulation of the Rankine cycle, with potential for expansion to more complex applications in the energy sector.

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THERMAL ANALYSIS IN ENERGY GENERATION CYCLES

  • DOI: https://doi.org/10.22533/at.ed.8208122624021

  • Palavras-chave: Rankine cycle; simulation; Matlab; thermodynamics; energy efficiency.

  • Keywords: Rankine cycle; simulation; Matlab; thermodynamics; energy efficiency.

  • Abstract:

    This study presents an analysis of the thermodynamic properties of a Rankine cycle, including its characteristics and importance within current technological and sustainable developments. Initially, an automated spreadsheet was developed to generate graphs and information on system consumption and performance, enabling quick and reliable analysis. As an advance, the spreadsheet calculations were improved and transferred to the MATLAB environment, resulting in a more robust and automated simulation of the cycle. This implementation enabled not only the total automation of calculations, but also the creation of more sophisticated thermodynamic graphs, expanding the analysis of the processes. An in-depth literature review was also conducted, which theoretically supported all stages. This phase concludes with the delivery of an automated and didactic simulation of the Rankine cycle, with potential for expansion to more complex applications in the energy sector.

  • SIMONI MARIA GHENO
  • Leonardo Guimarães Carvalho
  • Lauriberto Françoso Júnior
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