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Título
Linking Optimization Success and Stability of Finite-Time Thermodynamics Heat Engines
Autor(es)
Palabras clave
Finite-time thermodynamics
Endoreversible hypothesis
Optimization
Heat engine stability
Thermodynamic success
Stochastic perturbations
Relative entropy
Fecha de publicación
2025-08
Editor
MDPI
Citación
Gonzalez-Ayala, J.; Pérez-Gallego, D.; Medina, A.; Roco, J.M.M.; Calvo Hernández, A.; Velasco, S.; Angulo-Brown, F. Linking Optimization Success and Stability of Finite-Time Thermodynamics Heat Engines. Entropy 2025, 27, 822. https://doi.org/10.3390/e27080822
Resumen
[EN]In celebration of 50 years of the endoreversible Carnot-like heat engine, this work aims to
link the thermodynamic success of the irreversible Carnot-like heat engine with the stability
dynamics of the engine. This region of success is defined by two extreme configurations in
the interaction between heat reservoirs and the working fluid. The first corresponds to a
fully reversible limit, and the second one is the fully dissipative limit; in between both limits,
the heat exchange between reservoirs and working fluid produces irreversibilities and
entropy generation. The distance between these two extremal configurations is minimized,
independently of the chosen metric, in the state where the efficiency is half the Carnot
efficiency. This boundary encloses the region where irreversibilities dominate or the
reversible behavior dominates (region of success). A general stability dynamics is proposed
based on the endoreversible nature of the model and the operation parameter in charge of
defining the operation regime. For this purpose, the maximum ecological and maximum
Omega regimes are considered. The results show that for single perturbations, the dynamics
rapidly directs the system towards the success region, and under random perturbations
producing stochastic trajectories, the system remains always in this region. The results are
contrasted with the case in which no restitution dynamics exist. It is shown that stability
allows the system to depart from the original steady state to other states that enhance the
system’s performance, which could favor the evolution and specialization of systems in
nature and in artificial devices.
URI
DOI
10.3390/e27080822
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