<p>Thermoeconomics bridges thermodynamics and economics, providing diagnostic tools that address limitations in conventional energy analyses. This study explores the application of localized physical exergy disaggregation in thermoeconomic diagnosis to assess and optimize complex energy systems. In this study, thermoeconomic diagnosis is performed using the Fuel Impact Formula applied to three case studies: (1) a Rankine cycle with simulated anomalies, analyzed through productive diagrams (E and H&amp;S Models) and localized disaggregation in the condenser; (2) the same Rankine cycle and models from the previous case, but assessed using comprehensive diagrams; (3) a refrigeration cycle with simulated anomalies, examined by combining four methodologies (E, E<sup>T</sup>&amp;E<sup>M</sup>, H&amp;S, and UFS Models) in the localized disaggregation to diagnose dissipative components. Findings indicate that models implementing localized disaggregation can effectively isolate and diagnose malfunctioning components like condensers and valves, yielding consistent results with lower complexity than conventional methods. This approach contributes to scientific knowledge on maintenance indicators for thermal systems, potentially reducing operational costs and environmental impacts by improving maintenance routines.</p>

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Localized physical exergy disaggregation for thermoeconomic diagnosis: advancing maintenance strategies in thermal system

  • Pedro Rosseto de Faria,
  • Rodrigo Guedes dos Santos,
  • Atilio Barbosa Lourenço,
  • Igor Chaves Belisario,
  • Marcelo Aiolfi Barone,
  • José Joaquim Conceição Soares Santos

摘要

Thermoeconomics bridges thermodynamics and economics, providing diagnostic tools that address limitations in conventional energy analyses. This study explores the application of localized physical exergy disaggregation in thermoeconomic diagnosis to assess and optimize complex energy systems. In this study, thermoeconomic diagnosis is performed using the Fuel Impact Formula applied to three case studies: (1) a Rankine cycle with simulated anomalies, analyzed through productive diagrams (E and H&S Models) and localized disaggregation in the condenser; (2) the same Rankine cycle and models from the previous case, but assessed using comprehensive diagrams; (3) a refrigeration cycle with simulated anomalies, examined by combining four methodologies (E, ET&EM, H&S, and UFS Models) in the localized disaggregation to diagnose dissipative components. Findings indicate that models implementing localized disaggregation can effectively isolate and diagnose malfunctioning components like condensers and valves, yielding consistent results with lower complexity than conventional methods. This approach contributes to scientific knowledge on maintenance indicators for thermal systems, potentially reducing operational costs and environmental impacts by improving maintenance routines.