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Título
Thermodynamic optimization subsumed in stability phenomena
Autor(es)
Materia
Nonlinear phenomena
Statistical physics
Thermodynamics
Clasificación UNESCO
2213 Termodinámica
Fecha de publicación
2020
Resumen
[EN]In the present paper the possibility of an energetic self-optimization as a consequence of
thermodynamic stability is addressed. This feature is analyzed in a low dissipation refrigerator
working in an optimized trade-off regime (the so-called Omega function). The relaxation after a
perturbation around the stable point indicates that stability is linked to trajectories in which the
thermodynamic performance is improved. Furthermore, a limited control over the system is analyzed
through consecutive external random perturbations. The statistics over many cycles corroborates the
preference for a better thermodynamic performance. Endoreversible and irreversible behaviors play
a relevant role in the relaxation trajectories (as well as in the statistical performance of many cycles
experiencing random perturbations). A multi-objective optimization reveals that the well-known
endoreversible limit works as an attractor of the system evolution coinciding with the Pareto front,
which represents the best energetic compromise among efficiency, entropy generation, cooling
power, input power and the Omega function. Meanwhile, near the stable state, performance and
stability are dominated by an irreversible behavior.
URI
DOI
10.1038/s41598-020-71130-7
Versión del editor
Colecciones
- GIOETFE. Artículos [48]