Entropy production

Entropy production (or generation) is the amount of entropy which is produced in any irreversible processes such as heat and mass transfer processes including motion of bodies, heat exchange, fluid flow, substances expanding or mixing, anelastic deformation of solids, and any irreversible thermodynamic cycle, including thermal machines such as power plants, heat engines, refrigerators, heat pumps, and air conditioners.

In the dual representation entropy-exergy for accounting the second law of thermodynamics it can be expressed in equivalent terms of exergy disruption.

Rudolf Clausius

Short history

Entropy is produced in irreversible processes. The importance of avoiding irreversible processes (hence reducing the entropy production) was recognized as early as 1824 by Carnot. In 1865 Rudolf Clausius expanded his previous work from 1854 on the concept of “unkompensierte Verwandlungen” (uncompensated transformations), which, in our modern nomenclature, would be called the entropy production. In the same article in which he introduced the name entropy, Clausius gives the expression for the entropy production (for a closed system), which he denotes by N, in equation (71) which reads

$N=S-S_{0}-\int {\frac {dQ}{T}}.$

Here S is the entropy in the final state and the integral is to be taken from the initial state to the final state. From the context, it is clear that N = 0 if the process is reversible and N > 0 in case of an irreversible process.

First and second law

Fig.1 General representation of an inhomogeneous system that consists of a number of subsystems. The interaction of the system with the surroundings is through exchange of heat and other forms of energy, flow of matter, and changes of shape. The internal interactions between the various subsystems are of a similar nature and lead to entropy production.

The laws of thermodynamics system apply to well-defined systems. Fig.1 is a general representation of a thermodynamic system. We consider systems which, in general, are inhomogeneous. Heat and mass are transferred across the boundaries (nonadiabatic, open systems), and the boundaries are moving (usually through pistons). In our formulation we assume that heat and mass transfer and volume changes take place only separately at well-defined regions of the system boundary. The expression, given here, are not the most general formulations of the first and second law. E.g. kinetic energy and potential energy terms are missing and exchange of matter by diffusion is excluded.

The rate of entropy production, denoted by ${\dot {S}}_{i}$, is a key element of the second law of thermodynamics for open inhomogeneous systems which reads

${\frac {\mathrm {d} S}{\mathrm {d} t}}=\sum _{k}{\frac {{\dot {Q}}_{k}}{T_{k}}}+\sum _{k}{\dot {S}}_{k}+\sum _{k}{\dot {S}}_{ik}{\text{ with }}{\dot {S}}_{ik}\geq 0.$

Here S is the entropy of the system; T_k is the temperature at which the heat flow ${\dot {Q}}_{k}$ enters the system; ${\dot {S}}_{k}={\dot {n}}_{k}S_{mk}={\dot {m}}_{k}s_{k}$ represents the entropy flow into the system at position k, due to matter flowing into the system (${\dot {n}}_{k},{\dot {m}}_{k}$ are the molar flow and mass flow and S_mk and s_k are the molar entropy (i.e. entropy per mole) and specific entropy (i.e. entropy per unit mass) of the matter, flowing into the system, respectively); ${\dot {S}}_{ik}$ represents the entropy production rates due to internal processes. The index i in ${\dot {S}}_{ik}$ refers to the fact that the entropy is produced due to irreversible processes. The entropy-production rate of every process in nature is always positive or zero. This is an essential aspect of the second law.

The ∑'s indicate the algebraic sum of the respective contributions if there are more heat flows, matter flows, and internal processes.

In order to demonstrate the impact of the second law, and the role of entropy production, it has to be combined with the first law which reads

${\frac {\mathrm {d} U}{\mathrm {d} t}}=\Sigma _{k}{\dot {Q}}_{k}+\Sigma _{k}{\dot {H}}_{k}-\Sigma _{k}p_{k}{\frac {\mathrm {d} V_{k}}{\mathrm {d} t}}+P,$

with U the internal energy of the system; ${\dot {H}}_{k}={\dot {n}}_{k}H_{mk}={\dot {m}}_{k}h_{k}$ the enthalpy flows into the system due to the matter that flows into the system (H_mk its molar enthalpy, h_k the specific enthalpy (i.e. enthalpy per unit mass)), and dV_k/dt are the rates of change of the volume of the system due to a moving boundary at position k while p_k is the pressure behind that boundary; P represents all other forms of power application (such as electrical).

The first and second law have been formulated in terms of time derivatives of U and S rather than in terms of total differentials dU and dS where it is tacitly assumed that dt > 0. So, the formulation in terms of time derivatives is more elegant. An even bigger advantage of this formulation is, however, that it emphasizes that heat flow and power are the basic thermodynamic properties and that heat and work are derived quantities being the time integrals of the heat flow and the power respectively.

Examples of irreversible processes

Entropy is produced in irreversible processes. Some important irreversible processes are:

• heat flow through a thermal resistance
• fluid flow through a flow resistance such as in the Joule expansion or the Joule-Thomson effect
• diffusion
• chemical reactions
• Joule heating
• friction between solid surfaces
• fluid viscosity within a system.

The expression for the rate of entropy production in the first two cases will be derived in separate sections.

Fig.2 a: Schematic diagram of a heat engine. A heating power ${\dot {Q}}_{H}$ enters the engine at the high temperature T_H, and ${\dot {Q}}_{a}$ is released at ambient temperature T_a. A power P is produced and the entropy production rate is ${\dot {S}}_{i}$. b: Schematic diagram of a refrigerator. ${\dot {Q}}_{L}$ is the cooling power at the low temperature T_L, and ${\dot {Q}}_{a}$ is released at ambient temperature. The power P is supplied and ${\dot {S}}_{i}$ is the entropy production rate. The arrows define the positive directions of the flows of heat and power in the two cases. They are positive under normal operating conditions.

Performance of heat engines and refrigerators

Most heat engines and refrigerators are closed cyclic machines. In the steady state the internal energy and the entropy of the machines after one cycle are the same as at the start of the cycle. Hence, on average, dU/dt = 0 and dS/dt = 0 since U and S are functions of state. Furthermore they are closed systems (${\dot {n}}=0$) and the volume is fixed (dV/dt = 0). This leads to a significant simplification of the first and second law:

$0=\Sigma _{k}{\dot {Q}}_{k}+P$

and

$0=\Sigma _{k}{\frac {{\dot {Q}}_{k}}{T_{k}}}+{\dot {S}}_{i}.$

The summation is over the (two) places where heat is added or removed.

Engines

For a heat engine (Fig.2a) the first and second law obtain the form

$0={\dot {Q}}_{H}-{\dot {Q}}_{a}-P$

and

$0={\frac {{\dot {Q}}_{H}}{T_{H}}}-{\frac {{\dot {Q}}_{a}}{T_{a}}}+{\dot {S}}_{i}.$

Here ${\dot {Q}}_{H}$ is the heat supplied at the high temperature T_H, ${\dot {Q}}_{a}$ is the heat removed at ambient temperature T_a, and P is the power delivered by the engine. Eliminating ${\dot {Q}}_{a}$ gives

$P={\frac {T_{H}-T_{a}}{T_{H}}}{\dot {Q}}_{H}-T_{a}{\dot {S}}_{i}.$

The efficiency is defined by

$\eta ={\frac {P}{{\dot {Q}}_{H}}}.$

If ${\dot {S}}_{i}=0$ the performance of the engine is at its maximum and the efficiency is equal to the Carnot efficiency

$\eta _{C}={\frac {T_{H}-T_{a}}{T_{H}}}.$

Refrigerators

For refrigerators (fig.2b) holds

$0={\dot {Q}}_{L}-{\dot {Q}}_{a}+P$

and

$0={\frac {{\dot {Q}}_{L}}{T_{L}}}-{\frac {{\dot {Q}}_{a}}{T_{a}}}+{\dot {S}}_{i}.$

Here P is the power, supplied to produce the cooling power ${\dot {Q}}_{L}$ at the low temperature T_L. Eliminating ${\dot {Q}}_{a}$ now gives

${\dot {Q}}_{L}={\frac {T_{L}}{T_{a}-T_{L}}}(P-T_{a}{\dot {S}}_{i}).$

The Coefficient Of Performance of refrigerators is defined by

$\xi ={\frac {{\dot {Q}}_{L}}{P}}.$

If ${\dot {S}}_{i}=0$ the performance of the cooler is at its maximum. The COP is then given by the Carnot Coefficient Of Performance

$\xi _{C}={\frac {T_{L}}{T_{a}-T_{L}}}.$

Power dissipation

In both cases we find a contribution $T_{a}{\dot {S}}_{i}$ which reduces the system performance. This product of ambient temperature and the (average) entropy production rate $P_{diss}=T_{a}{\dot {S}}_{i}$ is called the dissipated power.

Equivalence with other formulations

It is interesting to investigate how the above mathematical formulation of the second law relates with other well-known formulations of the second law.

We first look at a heat engine, assuming that ${\dot {Q}}_{a}=0$. In other words: the heat flow ${\dot {Q}}_{H}$ is completely converted into power. In this case the second law would reduce to

$0={\frac {{\dot {Q}}_{H}}{T_{H}}}+{\dot {S}}_{i}.$

Since ${\dot {Q}}_{H}\geq 0$ and $T_{H}>0$ this would result in ${\dot {S}}_{i}\leq 0$ which violates the condition that the entropy production is always positive. Hence: No process is possible in which the sole result is the absorption of heat from a reservoir and its complete conversion into work. This is the Kelvin statement of the second law.

Now look at the case of the refrigerator and assume that the input power is zero. In other words: heat is transported from a low temperature to a high temperature without doing work on the system. The first law with P =0 would give

${\dot {Q}}_{L}={\dot {Q}}_{a}$

and the second law then yields

$0={\frac {{\dot {Q}}_{L}}{T_{L}}}-{\frac {{\dot {Q}}_{L}}{T_{a}}}+{\dot {S}}_{i}$

or

${\dot {S}}_{i}={\dot {Q}}_{L}\left({\frac {1}{T_{a}}}-{\frac {1}{T_{L}}}\right).$

Since ${\dot {Q}}_{L}\geq 0$ and $T_{a}>T_{L}$ this would result in ${\dot {S}}_{i}\leq 0$ which again violates the condition that the entropy production is always positive. Hence: No process is possible whose sole result is the transfer of heat from a body of lower temperature to a body of higher temperature. This is the Clausius statement of the second law.

Expressions for the entropy production

Heat flow

In case of a heat flow ${\dot {Q}}$ from T₁ to T₂ (with $T_{1}\geq T_{2}$) the rate of entropy production is given by

${\dot {S}}_{i}={\dot {Q}}\left({\frac {1}{T_{2}}}-{\frac {1}{T_{1}}}\right).$

If the heat flow is in a bar with length L, cross-sectional area A, and thermal conductivity κ, and the temperature difference is small

${\dot {Q}}=\kappa {\frac {A}{L}}(T_{1}-T_{2})$

the entropy production rate is

${\dot {S}}_{i}=\kappa {\frac {A}{L}}{\frac {(T_{1}-T_{2})^{2}}{T_{1}T_{2}}}.$

Flow of mass

In case of a volume flow ${\dot {V}}$ from a pressure p₁ to p₂

${\dot {S}}_{i}=-\int _{p_{1}}^{p_{2}}{\frac {\dot {V}}{T}}\mathrm {d} p.$

For small pressure drops and defining the flow conductance C by ${\dot {V}}=C(p_{1}-p_{2})$ we get

${\dot {S}}_{i}=C{\frac {(p_{1}-p_{2})^{2}}{T}}.$

The dependences of ${\dot {S}}_{i}$ on (T₁-T₂) and on (p₁-p₂) are quadratic.

This is typical for expressions of the entropy production rates in general. They guarantee that the entropy production is positive.

Entropy of mixing

In this Section we will calculate the entropy of mixing when two ideal gases diffuse into each other. Consider a volume V_t divided in two volumes V_a and V_b so that V_t = V_a+V_b. The volume V_a contains n_a moles of an ideal gas a and V_b contains n_b moles of gas b. The total amount is n_t = n_a+n_b. The temperature and pressure in the two volumes is the same. The entropy at the start is given by

$S_{t1}=S_{a1}+S_{b1}.$

When the division between the two gases is removed the two gases expand, comparable to a Joule-Thomson expansion. In the final state the temperature is the same as initially but the two gases now both take the volume V_t. The relation of the entropy of n moles an ideal gas is

$S=nC_{V}\ln {\frac {T}{T_{0}}}+nR\ln {\frac {V}{V_{0}}}$

with C_V the molar heat capacity at constant volume and R the molar ideal gas constant. The system is an adiabatic closed system, so the entropy increase during the mixing of the two gases is equal to the entropy production. It is given by

$S_{i}=S_{t2}-S_{t1}.$

As the initial and final temperature are the same the temperature terms plays no role, so we can focus on the volume terms. The result is

$S_{i}=n_{a}R\ln {\frac {V_{t}}{V_{a}}}+n_{b}R\ln {\frac {V_{t}}{V_{b}}}.$

Introducing the concentration x = n_a/n_t = V_a/V_t we arrive at the well known expression

$S_{i}=-n_{t}R[x\ln x+(1-x)\ln(1-x)].$

Joule expansion

The Joule expansion is similar to the mixing described above. It takes place in an adiabatic system consisting of a gas and two rigid vessels (a and b) of equal volume, connected by a valve. Initially, the valve is closed. Vessel (a) contains the gas under high pressure while the other vessel (b) is empty. When the valve is opened the gas flows from vessel (a) into (b) until the pressures in the two vessels are equal. The volume, taken by the gas, is doubled while the internal energy of the system is constant (adiabatic and no work done). Assuming that the gas is ideal the molar internal energy is given by U_m = C_VT. As C_V is constant, constant U means constant T. The molar entropy of an ideal gas, as function of the molar volume V_m and T, is given by

$S_{m}=C_{V}\ln {\frac {T}{T_{0}}}+R\ln {\frac {V_{m}}{V_{0}}}.$

The system, of the two vessels and the gas, is closed and adiabatic, so the entropy production during the process is equal to the increase of the entropy of the gas. So, doubling the volume with T constant, gives that the entropy production per mole gas is

$S_{mi}=R\ln 2.$

Microscopic interpretation

The Joule expansion gives a nice opportunity to explain the entropy production in statistical mechanical (microscopic) terms. At the expansion, the volume that the gas can occupy is doubled. That means that, for every molecule there are now two possibilities: it can be placed in container a or in b. If we have one mole of gas the number of molecules is equal to Avogadro's number N_A. The increase of the microscopic possibilities is a factor 2 per molecule so in total a factor 2^N_A. Using the well-known Boltzmann expression for the entropy

$S_{m}=k\ln \Omega ,$

with k Boltzmann's constant and Ω the number of microscopic possibilities to realize the macroscopic state, gives

$S_{mi}=k\ln(2^{N_{A}})=kN_{A}\ln 2=R\ln 2.$

So, at an irreversible process, the number of microscopic possibilities to realize the macroscopic state is increased by a certain factor.

Basic inequalities and stability conditions

In this section we derive the basic inequalities and stability conditions for closed systems. For closed systems the first law reduces to

${\frac {\mathrm {d} U}{\mathrm {d} t}}={\dot {Q}}-p{\frac {\mathrm {d} V}{\mathrm {d} t}}+P.$

The second law we write as

${\frac {\mathrm {d} S}{\mathrm {d} t}}-{\frac {\dot {Q}}{T}}\geq 0.$

For adiabatic systems ${\dot {Q}}=0$ so dS/dt ≥ 0. In other words: the entropy of adiabatic systems cannot decrease. In equilibrium the entropy is at its maximum. Isolated systems are a special case of adiabatic systems, so this statement is also valid for isolated systems.

Now consider systems with constant temperature and volume. In most cases T is the temperature of the surroundings with which the system is in good thermal contact. Since V is constant the first law gives ${\dot {Q}}=\mathrm {d} U/\mathrm {d} t-P$. Substitution in the second law, and using that T is constant, gives

${\frac {\mathrm {d} (TS)}{\mathrm {d} t}}-{\frac {\mathrm {d} U}{\mathrm {d} t}}+P\geq 0.$

With the Helmholtz free energy, defined as

$F=U-TS,$

we get

${\frac {\mathrm {d} F}{\mathrm {d} t}}-P\leq 0.$

If P = 0 this is the mathematical formulation of the general property that the free energy of systems with fixed temperature and volume tends to a minimum. The expression can be integrated from the initial state i to the final state f resulting in

$W_{S}\leq F_{i}-F_{f}$

where W_S is the work done by the system. If the process inside the system is completely reversible the equality sign holds. Hence the maximum work, that can be extracted from the system, is equal to the free energy of the initial state minus the free energy of the final state.

Finally we consider systems with constant temperature and pressure and take P = 0. As p is constant the first laws gives

${\frac {\mathrm {d} U}{\mathrm {d} t}}={\dot {Q}}-{\frac {\mathrm {d} (pV)}{\mathrm {d} t}}.$

Combining with the second law, and using that T is constant, gives

${\frac {\mathrm {d} (TS)}{\mathrm {d} t}}-{\frac {\mathrm {d} U}{\mathrm {d} t}}-{\frac {\mathrm {d} (pV)}{\mathrm {d} t}}\geq 0.$

With the Gibbs free energy, defined as

$G=U+pV-TS,$

we get

${\frac {\mathrm {d} G}{\mathrm {d} t}}\leq 0.$

Homogeneous systems

In homogeneous systems the temperature and pressure are well-defined and all internal processes are reversible. Hence ${\dot {S}}_{i}=0$. As a result the second law, multiplied by T, reduces to

$T{\frac {\mathrm {d} S}{\mathrm {d} t}}={\dot {Q}}+{\dot {n}}TS_{m}.$

With P=0 the first law becomes

${\frac {\mathrm {d} U}{\mathrm {d} t}}={\dot {Q}}+{\dot {n}}H_{m}-p{\frac {\mathrm {d} V}{\mathrm {d} t}}.$

Eliminating ${\dot {Q}}$ and multiplying with dt gives

$\mathrm {d} U=T\mathrm {d} S-p\mathrm {d} V+(H_{m}-TS_{m})\mathrm {d} n.$

Since

$H_{m}-TS_{m}=G_{m}=\mu$

with G_m the molar Gibbs free energy and μ the molar chemical potential we obtain the well-known result

$\mathrm {d} U=T\mathrm {d} S-p\mathrm {d} V+\mu \mathrm {d} n.$

Entropy production in stochastic processes

Since physical processes can be described by stochastic processes, such as Markov chains and diffusion processes, entropy production can be defined mathematically in such processes.

For a continuous-time Markov chain with instantaneous probability distribution $p_{i}(t)$ and transition rate $q_{ij}$, the instantaneous entropy production rate is

$e_{p}(t)={\frac {1}{2}}\sum _{i,j}[p_{i}(t)q_{ij}-p_{j}(t)q_{ji}]\log {\frac {p_{i}(t)q_{ij}}{p_{j}(t)q_{ji}}}.$

The long-time behavior of entropy production is kept after a proper lifting of the process. This approach provides a dynamic explanation for the Kelvin statement and the Clausius statement of the second law of thermodynamics.

See also

• Thermodynamics
• First law of thermodynamics
• Second law of thermodynamics
• Irreversible process
• Non-equilibrium thermodynamics
• High entropy alloys

Further reading

• Crooks, G. (1999). "Entropy production fluctuation theorem and the non-equilibrium work relation for free energy differences". Physical Review E. 60 (3): 2721–2726. arXiv:cond-mat/9901352. Bibcode:1999PhRvE..60.2721C. doi:10.1103/PhysRevE.60.2721. PMID 11970075. {{cite journal}}: |format= requires |url= (help)
• Seifert, Udo (2005). "Entropy Production along a Stochastic Trajectory and an Integral Fluctuation Theorem". Physical Review Letters. 95 (4): 040602. arXiv:cond-mat/0503686. Bibcode:2005PhRvL..95d0602S. doi:10.1103/PhysRevLett.95.040602. PMID 16090792. {{cite journal}}: |format= requires |url= (help)