Ch20 Young Freedman2
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Transcript of Ch20 Young Freedman2
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The Carnot Cycle (The Most EfficientHeat Engine)
A reversible cycle described by Sadi Carnot in1824.
The Carnot Theorem gives the theoretical limit
to the thermal efficiency of any heat engine. The Carnot cycle consists of:
Operates between two temperatures: 2 reversible isothermal processes in which
2 reversible adiabatic processes in which
An Ideal Gas as its working substance
andH C
T T
H CT T
Q
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Steps of the Carnot Cycle animation
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Details on the Carnot Cycle
The isothermal expansion (ab) and compression (cd):
0isothermalU (Tis constant and U(T) is a functionof Tonly for an Ideal Gas.)
ln bH ab H
a
VQ W nRT V
(ab : isothermal expansion)
ln ln ( )dC cd C C c d
c
c
d
V VQ W nRT nRT V V
V V
(cd: isothermal compression)
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Details on the Carnot Cycle
(by definition)
The adiabatic expansion (bc) and compression (da):
0adiabaticQ
From Section 19.8, we learned that1
for adiabatic processes.TV const
(bc: adiabatic expansion)1 1H b C cT V T V
(da: adiabatic compression)1 1H a C dT V T V
Dividing these two equations gives,
b c
a d
V V
V V
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Efficiency of the Carnot Cycle
From definition, we have 1 CH
QeQ
Using our results for QCand QHfrom the isothermalprocesses,
ln ln1 1
ln lnC c d C c d
H b a H b a
nRT V V T V V e
nRT V V T V V
From the adiabaticprocesses, we have
1 1C
H
C
H
Te
Q T
Q
b a c d
V V V V
ln1
lnc d
b a
V V
V V
(Carnot Cycle only)
(Tmust be in K)
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Efficiency of the Carnot Cycle
1 CcarnotH
TeT
(Carnot Cycle)
General Comments:
Higher efficiency if either TCis lower and/or THis higher. For any realistic thermal process, the cold reservoir is far
above absolute zero and TC> 0. Thus, a realistic e is strictly less than 1! (No 100%
efficient heat engine)Realistic heat engines must take in energy from the high T
reservoir for the work that it produces AND some heatenergy must be releasedback to the lower Treservoir.
(Kelvin-Plancks Statement)skip
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Internal Combustion EngineThe Otto Cycle
A fuel vapor can be compressed, then detonated to reboundthe cylinder, doing useful work.
animationhttp://auto.howstuffworks.com/engine1.htm
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The Otto Cycle
a b b, c c d
2 ( ) 0H V c bQ U nC T T
4 ( ) 0C V a d Q U nC T T
ris the compression ratio (8 to 13)
intake
exhaust
intake exhaust
For the two constant Vprocesses: 2 and 4,we can calculate,
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The Otto Cycle
Applying the definition of efficiency,
1 1 1V a dC a d
H V c b c b
nC T T Q T Te
Q nC T T T T
Now, we can utilize the two adiabatic processes: 1 and 3,
1 1a a b b
T V T V and
1 1c c d d
T V T V
1 1
a bT rV T V
11
c dT V T rV
1a b
T r T 1c dT T r
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The Otto Cycle
Substituting Tb and Tc into the efficiency equation, we have,
1 1 11 1 1a d a
d
a
c b da
d d
a
T T T T T T e
T T T r T r T T r
1
11e
r
Using a typical value for the compression ratio r = 8 and = 1.40 gives,
0.56 (or 56%)eNote: This is a theoretical value.Realistic gasoline engine typically
has e ~ 35%.
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The Diesel Cycle
Key difference: No fuel in cylinder at the beginning of the
compression stroke (process 1)
Fuel is injected only moments beforeignition in the power stroke
No fuel until the end of the adiabaticcompression can avoid pre-ignition
Compression ratio rvalue can be higher (15to 20)
Higher temperature can be reached duringthe adiabatic compression
Higher e and no need for spark plugs
Dsteam engine
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RefrigeratorsRefrigerators are basically heat engine running in reverse.
Heat from inside the refrigerator (cold Treservoir) is absorbed and releasedinto the room (high Treservoir) with the inputof mechanical work.
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Refrigerators
what you get
what you put inC C
H C
Q QK
W Q Q
Coefficient of Performance for a Refrigerator
From 1st
Law, 0cycle C H H C
U Q Q W Q Q W
(Note: we have put in the explicit signs according to our sign convention.)
|QC| (absorbed)positive |QH| (released) negative |W| (work is done on working substance by motor) negative
explicit signs
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A perfect Refrigerator
C C
H C
Q Q
K W Q Q
A perfect refrigerator means ( ).This means that
0H CQ Q or W
No mechanical work Wis needed to
transfer heat from the cold reservoirto the hot reservoir.
The Clausiuss statement of the 2ndLaw does notallow this !
realisticK
K
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EntropyRecall from a Carnot Cycle, we have derived the following relationship:
C C
H H
Q T
Q T 0H C
H C
Q Q
T T
Formally, we can rewrite this as,
0cycle
Q
T
(We have absorbed the explicitsign back into the Q variable.)
where Q represents the heat absorbed/released along the isotherm at temp T.
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Entropy
Any reversible cycles can be approximated as a seriesof Carnot cycles !
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Entropy
This suggests that the following generalization to be true for any reversibleprocesses,
0r
cycle
dQ
T
where,dQr is the infinitesimal heat absorbed/released by the system at an
infinitesimal reversible step at temp T.
denotes the integration evaluated over one complete cycle.cycle
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Entropy
We have seen this property previously,
0cycle
dU Changes in the internal energy U over aclosed cycle is zero!
This is a consequence of the fact thatU
is astate variable
anddU
for anyprocesses depends on the initial and final states only.
Thus the result indicates that there is another state variable Ssuch that,
0r
cycle
dQ
T
and 0cycle
dSdQdST
This new state variable Sis called the entropy of the system.
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Entropy: DisorderRecall that the 2ndLaw of Thermodynamics is a statement on natures
preferential direction for systems to move toward the state of disorder.Let see how Entropy is a quantitative measure of disorder.
Recalling our previous derivation, was from the isothermal branch ofthe infinitesimal Carnot cycle. Let look at an isothermal expansion of an ideal
gas microscopically:Intuitively, as the gas expands into a biggervolume, the degree of randomness for thesystem increases since molecules now have
more choices in position for them to moveabout. One can associate the increase inrandomness to the ratio:
V dVor
V V
/d Q T
(Tstays the same avg. KEstays the same)
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Entropy: DisorderSince this is an isothermal process, we have the following relation from the 1st Law:
nRTdQ dW PdV dV
V
1 dQ dV
nR T V
So, the newly introduced macroscopic variable S(entropy),
dQdS
T
is proportion to the degree of disorder of the system.
f
i
dQS
T
/S J K
dSis an infinitesimal entropy change for a reversible process at temperature T.For any finite reversibleprocess, the total entropy change Sis,
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2ndLaw (Quantitative Form)
The total entropy (disorder) of an isolatedsystem in anyprocesses can never decrease.
0
( 0 ; 0 )
tot sys env
tot tot
S S S
S reversible S irreversible
Nature always tends toward the most probable macrostates
[states with the highest S(disorder)] in any processes.
system
environmentQ
W
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Entropy Changes for DifferentProcesses
1. GeneralReversible Processes:
V
i
f
P
f f
r
i i
dQS dS
T
NOTE: in most applications,it is the change in entropy Swhich one typically needs tocalculate and not Sitself.
Note: Sis a state variable, Sis the same for allprocesses(including irreversible ones) with the same initial and finalstates!
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Entropy Changes for DifferentProcesses
Dividing Ton both sides and integrating,
f f
Vr
i i
nC dTdQ dV S nR
T T V
We have,
ln lnf fVi i
T VS nC nR
T V
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Entropy Changes for DifferentProcesses
4. Calorimetric Changes:
f f
i i
dQ mcdT
dQ mcdT S
T T
If c is constant within temperature range,
ln f
i
TS mc
T
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Entropy Changes for DifferentProcesses
5. During Phase Changes (or other isothermalProcesses):
1dQS dQ
T T
(Tstays constant during aphase change.)
Q mLS
T T
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Entropy Changes for DifferentProcesses
6. Irreversible Processes:
Although for a given an irreversibleprocess, we cannot writedS = dQr/T, Sbetween a well definite initial state a and final stateb can still be calculated using a surrogate reversible processconnecting a and b. (Sis a state variable!)
Example 20.8: (free expansion of an ideal gas)
Initial State a: (V,T) Final State b: (2V,T)
Since Q=W=0, U=0.For an ideal gas, thismeans that T=0 also.
Although Q=0, but Sis not zero!
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Sin a Free Expansion
Important point: Since Sis a state variable, Sis the same forany processes connecting the same initiala and final b states.
In this case, since Tdoes not change, we can use an surrogate isothermalprocess to take the ideal gas from state a (V,T) to state b (2V,T) to calculate S.
Surrogate
Isothermal Expansion
Applying our general formula,
ln lnf fV
i i
T VS nC nR
T V
we have,
lnV
TS nC
T
2ln ln 2 5.76 /
VnR nR J K
V
(n=1)