Skip to Content
EntropyEntropy
  • Article
  • Open Access

7 April 2015

A Method to Derive the Definition of Generalized Entropy from Generalized Exergy for Any State in Many-Particle Systems

Technip, Viale Castello della Magliana 68, 00148 Rome, Italy
This article belongs to the Special Issue Exergy: Analysis and Applications

Abstract

The literature reports the proofs that entropy is an inherent property of any system in any state and governs thermal energy, which depends on temperature and is transferred by heat interactions. A first novelty proposed in the present study is that mechanical energy, determined by pressure and transferred by work interactions, is also characterized by the entropy property. The second novelty is that a generalized definition of entropy relating to temperature, chemical potential and pressure of many-particle systems, is established to calculate the thermal, chemical and mechanical entropy contribution due to heat, mass and work interactions. The expression of generalized entropy is derived from generalized exergy, which in turn depends on temperature, chemical potential and pressure of the system, and by the entropy-exergy relationship constituting the basis of the method adopted to analyze the available energy and its transfer interactions with a reference system which may be external or constitute a subsystem. This method is underpinned by the Second Law statement enunciated in terms of existence and uniqueness of stable equilibrium for each value of energy content of the system. The equality of chemical potential and equality of pressure are assumed, in addition to equality of temperature, to be necessary conditions for stable equilibrium.

1. Introduction

During recent decades, Thermodynamics conceptual framework has been developed, providing the proofs that entropy is an inherent property of any system in any state, characterizing thermal energy which depends on temperature and is transferred by heat interactions. The set of all types of interactions occurring between a system A and an internal subsystem or an external reference system behaving as a reservoir R, represent the outset for a generalization of entropy property. The reservoir R is an auxiliary system, defined as adopting a duplicate of itself, experiencing stable equilibrium states only, while interacting with the system A [1]. The method adopted considers entropy as a consequence of Second Law enunciated in terms of existence and uniqueness of stable equilibrium for each value of energy content of a system. Generalized entropy is obtained from generalized exergy on the basis of the definition of thermodynamic entropy, derived from energy and available energy, as reported by Gyftopoulos and Beretta [1]. Necessary conditions of equal temperature, equal chemical potential and equal pressure are the consequence of stable equilibrium within the composite system-reservoir AR [1]. Instead, the canonical definition of entropy is underpinned by equal temperature only since it is based on the constant temperature TR as the unique property of the reservoir [13]. The aim is here to generalize the definition of exergy property, and consequently the definition of thermodynamic entropy, considering the equality of chemical potential μ= μR and the equality of pressure P=PR, as conditions of chemical stable equilibrium and mechanical stable equilibrium respectively, in addition to the thermal stable equilibrium, which imply a definition of generalized entropy suitable to characterize mass, heat and work interactions.

2. Assumptions and Method

The analysis focuses on many-particle macroscopic open systems according to the assumptions, definitions, theorems and terminology adopted by Gyftopoulos and Beretta [13]. Few-particle systems are not accounted for in the present study. Systems can experience any state of equilibrium and non-equilibrium [1]. This research focuses on transient processes to specifically analyze interactions between system and reservoir without limiting the validity of the results achieved. However, for this very reason, properties and phenomena can be extended to steady-state, and bulk-flow open systems are currently adopted in more extended theoretical treatises and in experimental and industrial applications. The reference system can be external or can be a subsystem behaving as a reservoir characterized in the macroscopic domain. The reservoir is an open system exchanging energy, entropy, amounts of constituents and volume while experiencing stable equilibrium states only. The reservoir R is in mutual stable equilibrium with a duplicate of itself, behaves ideally at a permanent stable equilibrium while interacting with the system A and it is an auxiliary device considering that entropy is an inherent property of any system in any state and therefore does not depend either on the characteristics and thermodynamic states of the reservoir or on its parameters variations [13].
The properties associated to and characterizing a reservoir may be obtained by means of a system constituted by a mass larger than the system (and ideally infinitely large). As an alternative, a pure finite-mass substance in a fixed region of space at the triple-point state behaves at constant temperature considering that heat interactions with the system occur with no changes in volume [4]. Nevertheless, the triple point ensures that pressure is constant provided that the reservoir is adiabatic and able to change its volume as work interactions with the system occur while the two systems are in mutual neutral equilibrium [4]. System A is characterized by its states of equilibrium or non-equilibrium determined by the equality or non-equality of temperature, chemical potential (also referred to as potential), and pressure.
The method adopted is based on the assumption that equality of chemical potential and equality of pressure within a system (including the subsystem behaving as a reservoir) constitute necessary conditions of stable equilibrium, in addition to the equality of temperature. These additional conditions will therefore be accounted for to define the generalized entropy which is derived by means of the following expression [13]:
S 1 S 0 = 1 C R [ ( E 1 E 0 ) ( Ω 1 R Ω 0 R ) ]
where CR is a constant property of the reservoir constituting an auxiliary system [5] as a matter of fact that entropy is an inherent property to any system in any state [13] and does not depend on the reservoir. The term ( Ω 1 R Ω 0 R ) is the difference of generalized available energy ΩR at states 1 and 0 with respect to the reservoir R. The generalized available energy can be correlated to exergy property if a generalized reservoir is assumed at permanent stable equilibrium characterized by any combination of constant temperature TR, constant chemical potential μR and constant pressure PR which may not correspond to the conditions of the environment [1]:
S 1 S 0 = 1 C R [ ( E 1 E 0 ) ( E X 1 R E X 0 R ) ]
so that entropy can be considered correlated to the equality of temperature, equality of potential and equality of pressure between a system and a reservoir consistent with the above mentioned definition. This definition of entropy property assumes that stable equilibrium is the reference state between system and reservoir; however, the state of system itself can be equilibrium or non-equilibrium [13]. Indeed, both energy and generalized available energy, or exergy, are properties valid in the domain of any state, equilibrium or non-equilibrium, of any system, large and small even consisting of one single particle. This also implies that the above Equations (1a) and (1b) account for both reversible and irreversible processes. In particular, by virtue of the entropy-exergy relationship: entropy contributions are correlated to exergy losses due to reversible transfer to the reservoir; and irreversible entropy generation, correlated to exergy destruction is caused by irreversible conversions along non-equilibrium processes.

7. Generalized Entropy Derived from Generalized Exergy

The additivity of the entropy property can be proved considering the additivity of energy and generalized available energy [1]. On the basis of the additivity of the entropy property [1], the generalized entropy results from the sum of entropy components each derived from the corresponding exergy component related to the (generalized) potential constituted by temperature, chemical potential and pressure. Therefore, the generalized entropy SG can be expressed as:
S G = S G ( T , T R , μ , μ R , P , P R ) = S T ( T , T R ) + S C ( μ , μ R ) + S M ( P , P R )
Generalized entropy is derivable from generalized exergy if, and only if, the system is brought at stable equilibrium with a generalized reservoir from any state. This final condition implies an equality of temperature, chemical potential and pressure between system and reservoir which becomes a set of necessary conditions for the stable equilibrium state of the composite system-reservoir constituting the prerequisite for calculating generalized entropy of any state of equilibrium or non-equilibrium.
Canonical equations characterizing all processes make reference to the variation of entropy determined by thermal energy transfers and heat interactions within the system and with the external reservoir. Instead, generalized entropy is inherent in all kinds of inter-particle kinetic and potential energy and represents the overall contribution to entropy balance due to all kinetic energy and potential energy determined by interactions:
d S G = δ I G P G = d E R G P R G = d ( E G E X G ) P R G
where PG and P R G represent generalized potentials constituting the integrating factors [7] of IG standing for generalized interaction. This generalized definition of entropy property is valid for both entropy contribution, relating to reversible external and internal processes, and entropy generation produced by irreversibilities of internal processes.

8. Conclusions

The method adopted in the analysis herein proposed is based on the concept of the generalized available energy of a system interacting with a reservoir leading to the definition of exergy property. This method establishes the procedure for deriving entropy from energy and generalized available energy and therefore entropy from generalized exergy property. It highlights the fact that pressure takes on the function of determining the useful heat interaction converted from available mechanical energy as temperature does with respect to useful work converted from available thermal energy. This conclusion is consistent with the assumption that, in addition to the equality of temperatures, the equality of pressures between system and (thermo-mechanical) reservoir should be considered as an additional necessary condition of mutual stable equilibrium, according to the Second Law statement. Moreover, it points out that pressure also takes on the function of determining the useful mass interaction converted from available mechanical energy as potential does with respect to useful work converted from available chemical energy. Equality of chemical potential between system and (chemical or mass) reservoir constitutes a further additional necessary condition of stable equilibrium. Hence, the equality of “generalized” potential represents a set of conditions necessary to derive generalized entropy from the generalized exergy of a system interacting with a generalized reservoir. These conclusions are based on, and consistent with, the fundamental Highest-Generalized-Entropy Principles underpinned by the existence and uniqueness of the thermal, chemical and mechanical stable equilibrium state for each value of energy content of the system according to the Second Law statement. Nevertheless, the proofs reported in the literature do not assume any restriction relating to the status of the system which may evolve through equilibrium and non-equilibrium states.
As far as possible future researches are concerned, the method here discussed may first undergo a more rigorous formalization of properties and their definitions as here proposed, according to the recent papers of Beretta and Zanchini [12,13]. A further purpose would be that of proving both the necessity and sufficiency of stable equilibrium, already enunciated as a theorem for many-particle systems [14], also extended to few-particle systems adopting the same Beretta and Zanchini procedure to generalize the definition of thermodynamic entropy to any system, large and small, in any state, equilibrium and non-equilibrium.
A second consequence, and a possible application of generalized entropy and its components, may be the analysis of complex and biological systems as already reported in the literature [1521] with the aim of analyzing laws governing the self-assembling and self-organizing processes of atomic and molecular interactions at microscopic level.
Finally, a question may be posed as to whether an overarching vision of availability [22] is capable of conceiving a quantum exergy, to derive a quantum entropy property [23], as a further generalization of the entropy-exergy relationship to be included within the whole framework of the Unified Quantum Theory of Mechanics and Thermodynamics.

Nomenclature

A
system
AR
composite system-reservoir
C
chemical
E
energy, J
EX
exergy, J
G
Gibbs potential, J
I
interaction
M
moli or mass, Kg
N
constituent
P
pressure, Pa
Q
heat, J
R
reservoir
R ¯
universal gas constant
S
entropy, J/°K
T
temperature/°K
U
internal energy, J
V
volume, cubic m
W
work, J
x
mole
Greek symbols
μ
chemical potential, J
Ω
available energy, J
Subscripts and superscripts
AR
composite system-reservoir
C
chemical
G
generalized
M
mechanical
MAX
maximum
MIN
minimum
NET
net
R
reference system or reservoir
REV
reversible
T
thermal
0
initial state
1
final state
interaction flow outward
interaction flow inward

Conflicts of Interest

The author declares no conflicts of interest.

References

  1. Gyftopoulos, E.; Beretta, G.P. Thermodynamics: Foundations and Applications; Dover Publications: New York, NY, USA, 2005. [Google Scholar]
  2. Gyftopoulos, E.P. Entropy: An Inherent, Non-statistical Property of any System in any State. Int. J. Thermodyn. 2006, 9, 107–115. [Google Scholar]
  3. Beretta, G.P. Axiomatic Definition of Entropy for Nonequilibrium States. Int. J. Thermodyn. 2008, 11, 39–48. [Google Scholar]
  4. Zanchini, E.; Barletta, A. Finite-mass heat reservoir and the second law. Il Nuovo Cimento 1995, 10, 1245–1258. [Google Scholar]
  5. Zanchini, E.; Beretta, G.P. Removing Heat and Conceptual Loops from the Definition of Entropy. Int. J. Thermodyn. 2010, 13, 67–76. [Google Scholar]
  6. Smith, C.E.; von Spakovsky, M.R. Comparison of the non-equilibrium predictions of Intrinsic Quantum Thermodynamics at the atomistic level with experimental evidence. J. Phys. Conf. Ser. 2012, 380, 012015. [Google Scholar]
  7. Pogliani, L.; Berberan-Santos, M.N. Constantin Carathéodori and the Axiomatic Thermodynamics. J. Mathemat. Chem. 2000, 28, 1–3. [Google Scholar]
  8. Zanchini, E. Highest-entropy, Lowest-energy and Lowest-volume Principles. Int. J. Thermodyn. 2010, 39, 110–116. [Google Scholar]
  9. Kotas, T.J. The Exergy Method of Thermal Plant Analysis; Krieger Publishing Company: Malabar, FL, USA, 1995. [Google Scholar]
  10. Moran, M.J.; Sciubba, E. Exergy Analysis: Principles and Practice. J. Eng. Gas Turbines Power 1994, 116, 285–290. [Google Scholar]
  11. Palazzo, P. Thermal and Mechanical Aspect of Entropy-Exergy Relationship. Int. J. Energy Environ. Eng. 2012. [Google Scholar] [CrossRef]
  12. Zanchini, E.; Beretta, G.P. Recent Progress in the Definition of Thermodynamic Entropy. Entropy 2014, 16, 1547–1570. [Google Scholar]
  13. Beretta, G.P.; Zanchini, E. A Definition of Thermodynamic Entropy Valid for Non-equilibrium States and Few-particle Systems 2014, arXiv, 1411.5395.
  14. Palazzo, P. Theorem of Necessity and Sufficiency of Stable Equilibrium for Generalized Potential Equality between System and Reservoir. J. Mod. Phys. 2014, 5, 2003–2011. [Google Scholar]
  15. Lucia, U. The Gouy-Stodola Theorem in Bioenergetic Analysis of Living Systems (Irreversibility in Bioenergetics of Living Systems). Energies 2014, 7, 5717–5739. [Google Scholar]
  16. Sciubba, E. Entropy Generation Minima in Different Configurations of the Branching of a Fluid-Carrying Pipe in Laminar Isothermal Flow. Entropy 2010, 12, 1885–1866. [Google Scholar]
  17. Sciubba, E. Entropy Generation Minimization as a Design Tool. Part 1: Analysis of Different Configurations of Branched and Non-branched Laminar Isothermal Flow through a Circular Pipe. Int. J. Thermodyn. 2011, 14, 11–20. [Google Scholar]
  18. Sciacovelli, A.; Verda, V.; Sciubba, E. Entropy generation analysis as a design tool—A review. Renew. Sustain. Energy Rev. 2015, 43, 1167–1181. [Google Scholar]
  19. Demirel, Y. Nonequilibrium thermodynamics modeling of coupled biochemical cycles in living cells. J. Non-Newton. Fluid Mech. 2010, 165, 953–972. [Google Scholar]
  20. Demirel, Y. Nonequilibrium Thermodynamics. Transport and Rate Processes in Physica, Chemical and Biological Systems, 3rd ed; Elsevier: Amsterdam, The Netherlands, 2014. [Google Scholar]
  21. Demirel, Y. Exergy use in bioenergetics. Int. J. Exergy. 2004, 1, 128–146. [Google Scholar]
  22. Hatsopoulos, G.N.; Beretta, G.P. Where is the entropy challenge? Proceedings of the International Thermodynamics Symposium in Honor and Memory of Professor Joseph H. Keenan, Cambridge, MA, USA, 4–5 October 2007; Beretta, G.P., Ghoniem, A.F., Hatsopoulos, G.N., Eds.; 2008; 2033, pp. 34–54. [Google Scholar]
  23. Baez, J.C.; Pollard, B.S. Quantropy. Entropy 2015, 17, 772–789. [Google Scholar]

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.