Equilibria in Material Systems
3: Second Law of TD
Prof. Juejun (JJ) Hu hujuejun@udel.edu
Energy is conserved!
dU
Q
W
Q
i y dx i i intensive extensive
Can all processes that obey the law of energy conservation proceed spontaneously?
Perpetual motion machines of the 1 st kind
Produce work without input of energy
Over 600 patents on perpetual motion machines were granted from
1635 to 1903 in UK only!
Some examples of perpetual motion machines
Perpetual motion machines of the 2 nd kind
Spontaneously converts heat into work
H in
(water)
H out
(ice) D
H water-ice
= 2261 J/g
To produce 1 hp of power, work dm
dt
746 /
Only 330 g of water needs to be turned into ice per second!
S
Extensive state function S(U, V, N, … ) or S(U
1
V
1
, V
2
, …, N
1
, N
2
, … ) for a composite system
, U
2
, …,
Monotonically increases with U , i.e.
S
U
, ,...
1
T
0
Q and satisfies the relation: dS sys
T sys where the equality holds only in reversible processes
The function S has the following property: the values assumed by the extensive parameters in the absence of an internal constraint are those that maximize S over the manifold of constrained equilibrium states.
S
Microscopically, entropy S is a measure of the degree of disorder (# of accessible microscopic states) in a system
An isolated system can spontaneously evolves into a state of higher degree of disorder but not vice versa
Directionality (reversibility) of processes
State A State B
A → B: dS
A
B
Q
A
B
T
B → A: dS
B
A dS
B
A
dS
A
B
Q
B
A
T
Reversible only when
Q
A
B
T
Q
B
A dS
A
B
Q
A
B
T
T
dS = 0 in an isolated/closed system
Isolated system: one that cannot exchange energy in the form of heat or work with any other system, i.e. ( U = constant )
dS > 0 in irreversible processes
Reversibility requires the system to be in equilibrium with environment at all times ( zero driving force ), i.e. reversible processes have to be quasi-static
A quasi-static process, however, is not necessarily reversible
Friction
Reif 3.2: Consider an isolated system which evolves from an initial state to a final state due to removal of an internal constraint
If imposing the constraint on the final state can restore the initial state, then the process is reversible
If the initial state cannot be restored even with imposition of the constraint, the process is irreversible
Reversibility is a property of a process not a system
T, P
1
T, P
2
Final state : P
1
= P
2
Driving force: P
1
- P
P
1
P
1
> P
= P
2
2
:
: dV dV
2 change is irreversible change is reversible
Constraint with respect to volume
T
1
, P T
2
, P
Final state : T
1
Driving force: T
= T
2
2
- T
1
T
2
T
2
> T
= T
1
1
:
:
Q
Q change is irreversible change is reversible
Adiabatic partition: constraint with respect to heat flow
Molecule
A
Molecule B
Impermeable partition: constraint with respect to molecular flow
Final state : C
A,1
= C
A,2
; C
B,1
= C
B,2
Driving force: concentration gradient
dN
A and dN
B
: irreversible
T
1
, P
1
, V
1
T
2
, P
2
, V
2
A cylinder of gas separated by a piston which has (arbitrarily) low thermal conductance. As the thermal conductance is low, at any given time, gas in each side of the of state functions T i
, P i
, V i cylinder can be described by a set
(i = 1, 2). A small heat transfer
between the two parts of gas. Is this a reversible process?
Q occurs
Entropy change of sub-system 1: dS
1
Q
T
1
T
1
T
2
Entropy change of sub-system 2:
Total entropy change: dS
2
Q
T
2 dS
dS
1
dS
2
Q
T T
1
Q
2
0
Thus the process is irreversible (nor a quasi-static process as the driving force, i.e. temperature difference is not zero).
Properties of entropy S
Additive: S is an extensive state function
S sys
S
sub sys s(u, v) = S(U, V, N)/N : molar entropy (intensive) l
S(U, V, N) = S( l
U, l
V, l
N) , where l is a constant ( S is a homogeneous first order function of the extensive variables)
S of a system is path independent
S is not conserved
Example: converting work to heat (Joule experiment)
S of an open system can decrease at the expense of entropy increase of another system
Q
System Environment dS
dS sys
dS env
0 dS sys
dS env
sys sys
Colloidal crystals: an example of selfassembled structures
Ph.D. thesis,
Lindsey Brooks
Jerrim Stamm,
North Carolina
State University
(2009).
In an isolated system, S always maximizes at equilibrium over the set of thermodynamic states consistent with the constraints (the manifold of constrained TD states)
Equilibrium is attained through re-distribution of some unconstrained extensive parameters
Equilibrium is reached if: 1) the conjugate intensive parameter (“potential”) of the unconstrained extensive parameter becomes uniform in the system; 2) dS = 0 when the unconstrained extensive parameter is redistributed by an infinitesimal amount
S
S equilibrium state x i
= x i0 x i
(e.g. V
1
) x k
(e.g. U
1
) x k
S(x k
) when x i
= x i0
Constraint: x i
= x i0
Unconstrained parameter: x k
At equilibrium, x k assumes the value where S is maximum, i.e. dS = 0 when x k is changed by an infinitesimal amount dx k
S x k
x i
0
2
S
x k
2
x i
0
Solving equilibrium condition in a composite system after removal of internal constraints
Apply dS = 0 (maximizing S ) under given constraints
Example 1: equilibrium in an isolated system after removal of an adiabatic partition (i.e. only allows heat flow between sub-systems)
T
1
T
2
Constraint: U tot
U
1
U
2 is a constant
Apply dS = 0 : dS tot
dS
1
dS
2
Q
1
Q
T T
1 2
2
Q
2
Q
1
Q
1
(
1
1
T T
1 2
)
0
T
1
T
2 thermal equilibrium
Example 2: equilibrium in an isolated system after removal of an adiabatic, rigid partition (i.e. allows both heat flow and volume change of sub-systems)
T
1
, V
1
T
2
, V
2
Constraint 1:
Constraint 2:
U tot
U
1
U
2 is a constant
V tot
1
V
2 is a constant
dU
2
dU
1 dV
2
dV
1
Apply dS = 0 : dS tot
S
U
1
1
V N
1 dU
1
S
U
2
2
V N
2 dU
2
S
V
1
1
U N
1 dV
1
S
V
2
2
U
2
, N
2 dV
2
S
U
1
T
S
V
P
T
1
1
T T
2 2 and
P
1
T
2
P
T
2
2
T
1
T
2 thermal equilibrium P
1
P
2 mechanical equilibrium
Example 3: equilibrium in an isolated system after removal of a rigid partition
(i.e. allows only volume change of subsystems)
T
1
, V
1
T
2
, V
2
Constraint 1:
Constraint 2:
S
U
1
T
Apply dS = 0 :
U tot
U
1
U
2 is a constant
V tot
1
V
2 is a constant
S
V
P
T
W
2
W
1 dV
2
dV
1
P
1
P
2 mechanical equilibrium dS tot
S
U
1
1
V N
1 dU
1
S
U
2
2
V N
2 dU
2
S
V
1
1
U N
1 dV
1
S
V
2
2
U
2
, N
2 dV
2
1
T
1
W
1
1
T
2
W
2
P
T
1
1 dV
1
P
T
2
2 dV
2
0 Indeterminate problem
dS sys
Q
T sys
In an irreversible process: dS
T
Q
dissipation
Dissipation: loss of useful work
To calculate entropy change of a system in an irreversible process, a reversible process can usually be constructed which brings the system under investigation from the same initial state to end state as the irreversible process does
Example: Joule’s experiment
Mechanical work W
Enclosed by an adiabatic wall
Water
(system)
Water
(system)
Conversion of work to heat
D
Q = 0,
D
U > 0
Entropy change of water
D
S > 0 as
S
U
, ,...
1
T
0
A reversible process can be constructed by successively bringing the system (water) into contact with a series of heat reservoirs
D
S water
T
T
D
T
P
T dT
D
T
Q
0
Ideal gas
Ideal gas
Vacuum
T
A
T
B
C
Initial state A
PV = constant
End state B
D
S
AB
T
A
T
C
D
S
AC
D
S
CB
C
V
T dT
T
A
T
C
C
P
T
dT
T
A
T
C
C
V
T
T
A
T
C dT
T
C
T
B
C
P dT C
P
C
V
R
T
R
T dT
R ln(
T
C )
R ln(
P
A )
T
A
P
C
D
T
Q
0
For all processes leading from the specified initial state to the specified final state of the primary system, the delivery of work is maximum for a reversible process
W
dU sys
Q
0 dS tot
dS sys
T
Q
0
Q
TdS sys
W
dU sys
TdS sys
Heat reservoir at T
Q
System
W
W
dU sys
TdS sys
State A → B: dU
Heat reservoir at T
Q
System
W
State A → … → A: dU = 0
The system has to restore its initial state for sustainable output
W
0,
Q
0 dU sys
dU
0
W
dU sys
Q
Q dS sys
dS dS tot
dS sys
0
T
Q
T
Q
0
Kelvin’s formulation of the
2 nd law of TD: it is impossible to construct a perfect heat engine which converts heat to work with 100% efficiency
“Hot” heat reservoir at T
1
Q
1
System
Q
2
“Cold” heat reservoir at T
2
T
1
T
2
W
State A → … → A: dU = 0
W
0,
Q
1
0,
Q
2
0
W
Q
1
Q
2 dS tot
dS sys
Q
1
T
1
Q
2
T
2
T
1
Q
1
W
T
T
1
2 )
Q
1
Engine efficiency
W
Q
1
Q
2
T
2
0
T
2
T
1
A to B (isothermal expansion): dT = 0 ,
Q > 0 , dS > 0 ,
W < 0
B to C (adiabatic expansion): dT < 0 ,
Q = 0 , dS = 0 ,
W < 0
C to D (isothermal compression): dT = 0 ,
Q < 0 , dS < 0 ,
W > 0
D to A (adiabatic compression): dT > 0 ,
Q = 0 , dS = 0 ,
W > 0
Otto cycle Joule cycle
All reversible heat engine cycles have the same efficiency!
“Hot” heat reservoir at T
1
Q
1
T
1
T
2
W
System
Q
2
“Cold” heat reservoir at T
2
State A → … → A: dU = 0
Transfers heat from a low temperature reservoir to a high temperature reservoir
Heat pump coefficient of performance:
Q
2
T
2
W T T
1 2
Q
W
1
T
1
T
1
T
2 for cooling for heating
Can be greater than unity!
Practical heat engine design: Rankine cycle
Working substance: liquid rather than gas
Ease of transporting liquid through the system
Turbine
Condenser
Boiler
Practical heat engine design: Rankine cycle
Working substance: liquid rather than gas
Ease of transporting liquid through the system
When phase change is not involved:
( dS ) constr
(
Q ) constr
T
S
C
P
T
T
P
C constr
T dT
S
C
V
T
T
V
S
When phase change is involved:
( dS ) constr
(
Q ) constr
T
dH constr
T
0 slope: C liquid
/T step:
D
H fus
/T m slope: C solid
/T
T
rd
The entropy of any TD system vanishes ( S → 0 ) in as temperature approaches absolute zero
The change of entropy
D
S → 0 in any reversible isothermal process at T → 0 K (Nernst statement)
Heat capacity C → 0 as T → 0 K
0
T dT is a finite number!
T
In classical thermodynamics, the absolute value of S has no physical significance
S → 0 can only be derived by statistical mechanics
We cannot achieve absolute zero by heat transfer alone
W < 0 , dU < 0 : the only way to reduce T is to let the system perform work through reversible processes
S V = V
2
(or x = x
2
> V
< x
1
)
1
V = V
1
(or any extensive function x = x
1
)
0
T http://ltl.tkk.fi/wiki/L
TL/World_record_in
_low_temperatures