Thermodynamic optimization subsumed in stability phenomena

Abstract 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 perturb...

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Autores principales:	J. Gonzalez-Ayala, A. Medina, J. M. M. Roco, A. Calvo Hernández
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9038e7fbe6ce4d858a2f3979ecf8b541
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spelling	oai:doaj.org-article:9038e7fbe6ce4d858a2f3979ecf8b5412021-12-02T19:09:30ZThermodynamic optimization subsumed in stability phenomena10.1038/s41598-020-71130-72045-2322https://doaj.org/article/9038e7fbe6ce4d858a2f3979ecf8b5412020-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-71130-7https://doaj.org/toc/2045-2322Abstract 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.J. Gonzalez-AyalaA. MedinaJ. M. M. RocoA. Calvo HernándezNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-16 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q J. Gonzalez-Ayala A. Medina J. M. M. Roco A. Calvo Hernández Thermodynamic optimization subsumed in stability phenomena
description	Abstract 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.
format	article
author	J. Gonzalez-Ayala A. Medina J. M. M. Roco A. Calvo Hernández
author_facet	J. Gonzalez-Ayala A. Medina J. M. M. Roco A. Calvo Hernández
author_sort	J. Gonzalez-Ayala
title	Thermodynamic optimization subsumed in stability phenomena
title_short	Thermodynamic optimization subsumed in stability phenomena
title_full	Thermodynamic optimization subsumed in stability phenomena
title_fullStr	Thermodynamic optimization subsumed in stability phenomena
title_full_unstemmed	Thermodynamic optimization subsumed in stability phenomena
title_sort	thermodynamic optimization subsumed in stability phenomena
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/9038e7fbe6ce4d858a2f3979ecf8b541
work_keys_str_mv	AT jgonzalezayala thermodynamicoptimizationsubsumedinstabilityphenomena AT amedina thermodynamicoptimizationsubsumedinstabilityphenomena AT jmmroco thermodynamicoptimizationsubsumedinstabilityphenomena AT acalvohernandez thermodynamicoptimizationsubsumedinstabilityphenomena
_version_	1718377101760921600

Thermodynamic optimization subsumed in stability phenomena

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