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Adapted or Adaptable: How to Manage Entropy Production?

Adaptable or adapted? Whether it is a question of physical, biological, or even economic systems, this problem arises when all these systems are the location of matter and energy conversion. To this interdisciplinary question, we propose a theoretical framework based on the two principles of thermod...

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Autores principales: Goupil, Christophe, Herbert, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516450/
https://www.ncbi.nlm.nih.gov/pubmed/33285804
http://dx.doi.org/10.3390/e22010029
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author Goupil, Christophe
Herbert, Eric
author_facet Goupil, Christophe
Herbert, Eric
author_sort Goupil, Christophe
collection PubMed
description Adaptable or adapted? Whether it is a question of physical, biological, or even economic systems, this problem arises when all these systems are the location of matter and energy conversion. To this interdisciplinary question, we propose a theoretical framework based on the two principles of thermodynamics. Considering a finite time linear thermodynamic approach, we show that non-equilibrium systems operating in a quasi-static regime are quite deterministic as long as boundary conditions are correctly defined. The Novikov–Curzon–Ahlborn derivation applied to non-endoreversible systems then makes it possible to precisely determine the conditions for obtaining characteristic operating points. As a result, power maximization principle (MPP), entropy minimization principle (mEP), efficiency maximization, or waste minimization states are only specific modalities of system operation. We show that boundary conditions play a major role in defining operating points because they define the intensity of the feedback that ultimately characterizes the operation. Armed with these thermodynamic foundations, we show that the intrinsically most efficient systems are also the most constrained in terms of controlling the entropy and dissipation production. In particular, we show that the best figure of merit necessarily leads to a vanishing production of power. On the other hand, a class of systems emerges, which, although they do not offer extreme efficiency or power, have a wide range of use and therefore marked robustness. It therefore appears that the number of degrees of freedom of the system leads to an optimization of the allocation of entropy production.
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spelling pubmed-75164502020-11-09 Adapted or Adaptable: How to Manage Entropy Production? Goupil, Christophe Herbert, Eric Entropy (Basel) Article Adaptable or adapted? Whether it is a question of physical, biological, or even economic systems, this problem arises when all these systems are the location of matter and energy conversion. To this interdisciplinary question, we propose a theoretical framework based on the two principles of thermodynamics. Considering a finite time linear thermodynamic approach, we show that non-equilibrium systems operating in a quasi-static regime are quite deterministic as long as boundary conditions are correctly defined. The Novikov–Curzon–Ahlborn derivation applied to non-endoreversible systems then makes it possible to precisely determine the conditions for obtaining characteristic operating points. As a result, power maximization principle (MPP), entropy minimization principle (mEP), efficiency maximization, or waste minimization states are only specific modalities of system operation. We show that boundary conditions play a major role in defining operating points because they define the intensity of the feedback that ultimately characterizes the operation. Armed with these thermodynamic foundations, we show that the intrinsically most efficient systems are also the most constrained in terms of controlling the entropy and dissipation production. In particular, we show that the best figure of merit necessarily leads to a vanishing production of power. On the other hand, a class of systems emerges, which, although they do not offer extreme efficiency or power, have a wide range of use and therefore marked robustness. It therefore appears that the number of degrees of freedom of the system leads to an optimization of the allocation of entropy production. MDPI 2019-12-24 /pmc/articles/PMC7516450/ /pubmed/33285804 http://dx.doi.org/10.3390/e22010029 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Goupil, Christophe
Herbert, Eric
Adapted or Adaptable: How to Manage Entropy Production?
title Adapted or Adaptable: How to Manage Entropy Production?
title_full Adapted or Adaptable: How to Manage Entropy Production?
title_fullStr Adapted or Adaptable: How to Manage Entropy Production?
title_full_unstemmed Adapted or Adaptable: How to Manage Entropy Production?
title_short Adapted or Adaptable: How to Manage Entropy Production?
title_sort adapted or adaptable: how to manage entropy production?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516450/
https://www.ncbi.nlm.nih.gov/pubmed/33285804
http://dx.doi.org/10.3390/e22010029
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