efficiency at the maximum power output for simple two-level heat engine
TRANSCRIPT
-
Efficiency at the maximum power output for simple two-level heat engine
Sang Hoon Lee School of Physics, Korea Institute for Advanced Study
http://newton.kias.re.kr/~lshlj82
in collaboration with Jaegon Um (CCSS, CTP and Department of Physics and Astronomy, SNU) and Hyunggyu Park (School of Physics & Quantum Universe Center, KIAS)
DDAP9: 9th Dynamics Days Asia Pacific @ Hong Kong, 15 December, 2016.
SHL, J. Um, and H. Park, e-print arXiv:1612.00518.
-
Carnot engine
source: http://web2.uwindsor.ca/courses/physics/high_schools/2013/SteamEngine/images/PVgraph.jpg
S. Carnot, Rflexions Sur La Puissance Motrice Du Feu Et Sur Les Machines Propres Dvelopper Cette Puissance (Bachelier Libraire, Paris, 1824).
the
Sadi Carnot (1796-1832)
http://web2.uwindsor.ca/courses/physics/high_schools/2013/SteamEngine/images/PVgraph.jpg
-
Carnot engine
source: http://web2.uwindsor.ca/courses/physics/high_schools/2013/SteamEngine/images/PVgraph.jpg
S. Carnot, Rflexions Sur La Puissance Motrice Du Feu Et Sur Les Machines Propres Dvelopper Cette Puissance (Bachelier Libraire, Paris, 1824).
the
Sadi Carnot (1796-1832)
the Carnot eciency C =Weng|Qh|
=
|Qh| |Qc||Qh|
= 1 TcTh
quasi-static(the 1st law of thermodynamics)
http://web2.uwindsor.ca/courses/physics/high_schools/2013/SteamEngine/images/PVgraph.jpg
-
the Carnot eciency C =Weng|Qh|
=
|Qh| |Qc||Qh|
= 1 TcTh
quasi-static(the 1st law of thermodynamics)
-
the Carnot eciency C =Weng|Qh|
=
|Qh| |Qc||Qh|
= 1 TcTh
quasi-static(the 1st law of thermodynamics)
0: cyclic process
the 2nd law of thermodynamics: Stot
= Seng
+Sres
= QhTh
+
QcTc 0
(per cycle)
! |Qc||Qh| Tc
Th! = 1 |Qc||Qh|
1 TcTh
= C
) C in general, and C is the theoretically maximum eciency.
-
the Carnot eciency C =Weng|Qh|
=
|Qh| |Qc||Qh|
= 1 TcTh
quasi-static(the 1st law of thermodynamics)
0: cyclic process
the 2nd law of thermodynamics: Stot
= Seng
+Sres
= QhTh
+
QcTc 0
(per cycle)
! |Qc||Qh| Tc
Th! = 1 |Qc||Qh|
1 TcTh
= C
) C in general, and C is the theoretically maximum eciency.
Weng reaches the maximum value for given |Qh| in the Carnot engine,but the power P = Weng/ ! 0 where is the operating time !1
quasi-static
-
Th
Tc
hot reservoir
cold reservoir
Thw
Tcw
Endoreversible engine P. Chambadal, Les Centrales Nuclaires (Armand Colin, Paris, 1957). I. I. Novikov, Efficiency of an atomic power generating installation, At. Energy 3, 1269 (1957);
The efficiency of atomic power stations, J. Nucl. Energy 7, 125 (1958). F. L. Curzon and B. Ahlborn, Efficiency of a Carnot engine at maximum power output, Am. J. Phys. 43, 22 (1975).
-
endoreversibility
Th
Tc
hot reservoir
cold reservoir
Thw
Tcw
during t1
irreversible heat conduction
the input energy (linear heat conduction) Qh = t1(Th Thw)
the reversible engine
operated at Thw and Tcw!QhThw
=QcTcw
during t2
irreversible heat conduction
the heat rejected (linear heat conduction) Qc = t2(Tcw Tc)
Endoreversible engine P. Chambadal, Les Centrales Nuclaires (Armand Colin, Paris, 1957). I. I. Novikov, Efficiency of an atomic power generating installation, At. Energy 3, 1269 (1957);
The efficiency of atomic power stations, J. Nucl. Energy 7, 125 (1958). F. L. Curzon and B. Ahlborn, Efficiency of a Carnot engine at maximum power output, Am. J. Phys. 43, 22 (1975).
-
endoreversibility
the (Chambadal-Novikov-)Curzon-Ahlborn eciency CA = 1r
TcTh
Th
Tc
hot reservoir
cold reservoir
Thw
Tcw
during t1
irreversible heat conduction
the input energy (linear heat conduction) Qh = t1(Th Thw)
the reversible engine
operated at Thw and Tcw!QhThw
=QcTcw
during t2
irreversible heat conduction
the heat rejected (linear heat conduction) Qc = t2(Tcw Tc)
maximizing power P =Qh Qct1 + t2
with respect to t1 and t2
Endoreversible engine P. Chambadal, Les Centrales Nuclaires (Armand Colin, Paris, 1957). I. I. Novikov, Efficiency of an atomic power generating installation, At. Energy 3, 1269 (1957);
The efficiency of atomic power stations, J. Nucl. Energy 7, 125 (1958). F. L. Curzon and B. Ahlborn, Efficiency of a Carnot engine at maximum power output, Am. J. Phys. 43, 22 (1975).3/31/16, 12:03Endoreversible thermodynamics - Wikipedia, the free encyclopedia
Page 2 of 3https://en.wikipedia.org/wiki/Endoreversible_thermodynamics
Power Plant (C) (C) (Carnot) (Endoreversible) (Observed)West Thurrock (UK) coal-fired power
plant 25 565 0.64 0.40 0.36
CANDU (Canada) nuclear power plant 25 300 0.48 0.28 0.30Larderello (Italy) geothermal power
plant 80 250 0.33 0.178 0.16
As shown, the endoreversible efficiency much more closely models the observed data. However, such anengine violates Carnot's principle which states that work can be done any time there is a difference intemperature. The fact that the hot and cold reservoirs are not at the same temperature as the working fluidthey are in contact with means that work can and is done at the hot and cold reservoirs. The result istantamount to coupling the high and low temperature parts of the cycle, so that the cycle collapses.[7] In theCarnot cycle there is strict necessity that the working fluid be at the same temperatures as the heat reservoirsthey are in contact with and that they are separated by adiabatic transformations which prevent thermalcontact. The efficiency was first derived by William Thomson [8] in his study of an unevenly heated body inwhich the adiabatic partitions between bodies at different temperatures are removed and maximum work isperformed. It is well known that the final temperature is the geometric mean temperature so that
the efficiency is the Carnot efficiency for an engine working between and .
Due to occasional confusion about the origins of the above equation, it is sometimes named theChambadal-Novikov-Curzon-Ahlborn efficiency.
See alsoHeat engine
An introduction to endoreversible thermodynamics is given in the thesis by Katharina Wagner.[4] It is alsointroduced by Hoffman et al.[9][10] A thorough discussion of the concept, together with many applications inengineering, is given in the book by Hans Ulrich Fuchs.[11]
References1. I. I. Novikov. The Efficiency of Atomic Power Stations. Journal Nuclear Energy II, 7:125128, 1958. translated from
Atomnaya Energiya, 3 (1957), 409.2. Chambadal P (1957) Les centrales nuclaires. Armand Colin, Paris, France, 4 1-583. F.L. Curzon and B. Ahlborn, American Journal of Physics, vol. 43, pp. 2224 (1975)4. M.Sc. Katharina Wagner, A graphic based interface to Endoreversible Thermodynamics, TU Chemnitz, Fakultt fr
Naturwissenschaften, Masterarbeit (in English). http://archiv.tu-chemnitz.de/pub/2008/0123/index.html5. A Bejan, J. Appl. Phys., vol. 79, pp. 11911218, 1 Feb. 1996 http://dx.doi.org/10.1016/S0035-3159(96)80059-66. Callen, Herbert B. (1985). Thermodynamics and an Introduction to Thermostatistics (2nd ed. ed.). John Wiley &
Sons, Inc.. ISBN 0-471-86256-8.7. B. H. Lavenda, Am. J. Phys., vol. 75, pp. 169-175 (2007)8. W. Thomson, Phil. Mag. (Feb. 1853)
-
the (Chambadal-Novikov-)Curzon-Ahlborn eciency CA = 1r
TcTh
-
the (Chambadal-Novikov-)Curzon-Ahlborn eciency CA = 1r
TcTh
Q. Is this a universal formula for power-maximizing efficiency, or does endoreversibility guarantee it?
-
the (Chambadal-Novikov-)Curzon-Ahlborn eciency CA = 1r
TcTh
Q. Is this a universal formula for power-maximizing efficiency, or does endoreversibility guarantee it?
A. No. The linear heat conduction is essential.
Q = (Th Tc)
We introduce a different type of engine with non-(CN)CA optimal efficiency.
L. Chen and Z. Yan, J. Chem. Phys. 90, 3740 (1988): F. Angulo-Brown and R. Pez-Hernndez, J. Appl. Phys. 74, 2216 (1993):
(Dulong-Petit law of cooling)Q = (Th Tc)n
Q = (Tnh Tnc )
-
our simple two-level heat engine model
R1
R2
relaxation with
relaxation with
Q1
Q2
E1
E2
T1
T2
q
t1
t2
during t1
during t2
W = E1 E2W 0 = E1 E2
q/(1 q) = exp(E1/T1)
/(1 ) = exp(E2/T2)
0
E1
q(setting the Boltzmann constant
kB 1 for notational convenience)
-
our simple two-level heat engine model
R1
R2
relaxation with
relaxation with
Q1
Q2
E1
E2
T1
T2
q
t1
t2
during t1
during t2
W = E1 E2W 0 = E1 E2
q/(1 q) = exp(E1/T1)
/(1 ) = exp(E2/T2)
0
E2
(setting the Boltzmann constant
kB 1 for notational convenience)
-
our simple two-level heat engine model
R1
R2
relaxation with
relaxation with
Q1
Q2
E1
E2
T1
T2
q
t1
t2
during t1
during t2
W = E1 E2W 0 = E1 E2
q/(1 q) = exp(E1/T1)
/(1 ) = exp(E2/T2)
0
E2
(setting the Boltzmann constant
kB 1 for notational convenience)
-
our simple two-level heat engine model
R1
R2
relaxation with
relaxation with
Q1
Q2
E1
E2
T1
T2
q
t1
t2
during t1
during t2
W = E1 E2W 0 = E1 E2
q/(1 q) = exp(E1/T1)
/(1 ) = exp(E2/T2)
0
q
E1
(setting the Boltzmann constant
kB 1 for notational convenience)
-
our simple two-level heat engine model
R1
R2
relaxation with
relaxation with
Q1
Q2
E1
E2
T1
T2
q
t1
t2
during t1
during t2
W = E1 E2W 0 = E1 E2
q/(1 q) = exp(E1/T1)
/(1 ) = exp(E2/T2)
0
q
E1
(setting the Boltzmann constant
kB 1 for notational convenience)
-
our simple two-level heat engine model
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1i(t1 = 0) |P1i(t1 = 1) = |P2i(t2 = 0) |P2i(t2 = 2)
|P2i(t2 = 2) = |P1i(t1 = 0)
W = E1 E2
W 0 = E1 E2
Q1 Q2
hWnetiT1
sh =T2T1
sc +hWnetiT1
sh =E1T1
scG1 (sc)
sc
sh
-
Let t1 = t2 = /2, then
in terms of , the maximum power is achieved for ! 0, asPower ! hWneti/4 and the power is monotonically decreased as is increased.
hWneti = (q )(1 e/2)2
1 e
{T1 ln[(1 q)/q] T2 ln[(1 )/]}
time: decoupled overall factor
hWneti( !1) = (q ) {T1 ln[(1 q)/q] T2 ln[(1 )/]}
Power hP i = hWneti
=
q
(1 e/2)2
1 e
{T1 ln[(1 q)/q] T2 ln[(1 )/]}
(still decoupled even when t1 6= t2)
-
Let t1 = t2 = /2, then
in terms of , the maximum power is achieved for ! 0, asPower ! hWneti/4 and the power is monotonically decreased as is increased.
hWneti = (q )(1 e/2)2
1 e
{T1 ln[(1 q)/q] T2 ln[(1 )/]}
time: decoupled overall factor
hWneti( !1) = (q ) {T1 ln[(1 q)/q] T2 ln[(1 )/]}
Power hP i = hWneti
=
q
(1 e/2)2
1 e
{T1 ln[(1 q)/q] T2 ln[(1 )/]}
our goal: to find (q, ) = (q, ) maximizing hP i@hP i@q
q=q,=
=@hP i@
q=q,=
= 0
(still decoupled even when t1 6= t2)
hWneti = hW i hW 0i = (P1 P2)(E1 E2)= (P1 P2){T1 ln[(1 q)/q] T2 ln[(1 )/]}
eciency =hWnetihQ1i
=hW i hW 0i
hQ1i= 1 T2
T1
ln[(1 )/]ln[(1 q)/q]
substitute (q, ) = (q, ) here,then
op
(q, ) is the eciencyat the maximum power output
-
4
0
0.05
0.1
0.15
0.2
0 0.2 0.4 0.6 0.8 1
q* a
nd
*
c = 1 T2 / T1
q**
q*(c0) = *(c0)q*(c=1)
c1 asymptote
FIG. 3. Numerically found q and values satisfying Eq. (18), as afunction of
C
= 1T2/T1, along with the q(C ! 0) = (C ! 0)and q(
C
= 1) values presented in Sec. III B 2. (C
= 1) = 0 (thehorizontal axis). The
C
! 1 asymptote indicates Eq. (34).schematically . . .
q
= q
no net work
as C is increased
q(C 0) = (C 0) 0.083 221 720 199 517 7
q(C = 1) 0.217 811 705 719 800(C = 1) = 0
FIG. 4. Illustration of the optimal transition rates (q, ) for the max-imum power output as the T2/T1 value varies.
2. Asymptotic behaviors obtained from series expansion
The upper bound for q is given by the condition C
= 1,satisfying ln[(1 q)/q] = 1/(1 q) and q(
C
= 1) '0.217 811 705 719 800 found numerically and (
C
= 1) = 0exactly from Eq. (16b).
C
= 0 always satisfies Eq. (18) re-gardless of q values, so finding the optimal q is meaningless(in fact, when
C
= 0, the operating regime for the engineis shrunk to the line q = and there cannot be any positivework). Therefore, let us examine the case
C
' 0 using theseries expansion of q with respect to
C
, as
q
= q0 + a1C + a22C
+ a33C
+ O 4C
. (22)
Substituting Eq. (22) into Eq. (18) and expanding the left-handside with respect to
C
again, we obtain
2 (1 2q0) ln[(1 q0)/q0]2q0 1 C
+q0(1 q0) 2a1(1 2q0)
2(1 q0)q0(1 2q0)32
C
+ c3(q0, a1, a2)3C
+ O 4C
= 0 ,
(23)
where c3(q0, a1, a2) = [10q60 + 3a21 6q0(a21 + a2) 6q50(5 +
6a1+8a2)12q30(1+6a1+16a21+9a2)+q20(1+18a1+132a21+42a2)+q40(31+90a1+96a
21+120a2)]/[6(12q0)5(1q0)2q20].
Letting the linear coecient to be zero yields
21 2q0 = ln
1 q0
q0
!, (24)
from which the lower bound for q(C
! 0) = q0 =(
C
! 0) ' 0.083 221 720 199 517 7 found numerically[lim
C
!0 U(C , q) = 1 2q, thus (C ! 0) = q(C ! 0)by Eq. (16b)]. Figure 3 shows the numerical solution (q, )as a function of
C
, where the asymptotic behaviors derivedabove hold when
C
' 0 and C
' 1. It seems that q ismonotonically increased and is monotonically decreased,as
C
is increased, i.e., qmin = q(
C
! 0), qmax = q(C = 1),min = 0, and
max =
(C
! 0). Figure 4 illustrates the situ-ation on the (q, ) plane. The linear coecient a1 in Eq. (22)can be written in terms of q0 when we let the coecient of thequadratic term in Eq. (23) to be zero, as
a1 =q0(1 q0)2(1 2q0) . (25)
Similarly, the coecient a2 in Eq. (22) can also be written interms of q0 alone, by letting c3(q0, a1, a2) = 0 in Eq. (23) andusing the relations in Eqs. (24) and (25), as
a2 =7q0(1 q0)24(1 2q0) . (26)
With the relations of coecients in hand, we find theasymptotic behavior of op in Eq. (19) by expanding it withrespect to
C
after substituting q as the series expansion of
C
in Eq. (22). Then,
op =1
(1 2q0) ln[(1 q0)/q0]C
+
a1q03q20+2q30
+[q20+2a1q0(1+4a1)] ln[(1q0)/q0]
(12q0)3
ln2[(1 q0)/q0]2
C
+ d3(q0, a1, a2)3C
+ O 4C
,
(27)
where d3(q0, a1, a2) = {2(1 2q0)2a1[q20 + 2a1 q0(1 +4a1)] ln[(1q0)/q0]+2[2q40+a14a212a2+4q0(4a21+3a2)+4q30(1+a1+4a2)2q20(1+3a1+8a21+12a2)] ln2[(1q0)/q0]+(12q0)4{2a21+[(12q0)a212(1q0)q0a2] ln[(1q0)/q0]}}/[(1q
20)
2q
20]. Using Eqs. (24), (25) and (26), Eq. (27) becomes sim-
ply
op =12
C
+182
C
+7 24q0 + 24q20
96(1 2q0)2 3C
+ O 4C
. (28)
No closed-form solution, but we get the series expansion at
cf) CA = 1p
1 C = 12C +
1
82C +
1
163C +
5
1284C +O(5C)
* C = 1
T2T1
C ! 0
-
4
0
0.05
0.1
0.15
0.2
0 0.2 0.4 0.6 0.8 1
q* a
nd
*
c = 1 T2 / T1
q**
q*(c0) = *(c0)q*(c=1)
c1 asymptote
FIG. 3. Numerically found q and values satisfying Eq. (18), as afunction of
C
= 1T2/T1, along with the q(C ! 0) = (C ! 0)and q(
C
= 1) values presented in Sec. III B 2. (C
= 1) = 0 (thehorizontal axis). The
C
! 1 asymptote indicates Eq. (34).schematically . . .
q
= q
no net work
as C is increased
q(C 0) = (C 0) 0.083 221 720 199 517 7
q(C = 1) 0.217 811 705 719 800(C = 1) = 0
FIG. 4. Illustration of the optimal transition rates (q, ) for the max-imum power output as the T2/T1 value varies.
2. Asymptotic behaviors obtained from series expansion
The upper bound for q is given by the condition C
= 1,satisfying ln[(1 q)/q] = 1/(1 q) and q(
C
= 1) '0.217 811 705 719 800 found numerically and (
C
= 1) = 0exactly from Eq. (16b).
C
= 0 always satisfies Eq. (18) re-gardless of q values, so finding the optimal q is meaningless(in fact, when
C
= 0, the operating regime for the engineis shrunk to the line q = and there cannot be any positivework). Therefore, let us examine the case
C
' 0 using theseries expansion of q with respect to
C
, as
q
= q0 + a1C + a22C
+ a33C
+ O 4C
. (22)
Substituting Eq. (22) into Eq. (18) and expanding the left-handside with respect to
C
again, we obtain
2 (1 2q0) ln[(1 q0)/q0]2q0 1 C
+q0(1 q0) 2a1(1 2q0)
2(1 q0)q0(1 2q0)32
C
+ c3(q0, a1, a2)3C
+ O 4C
= 0 ,
(23)
where c3(q0, a1, a2) = [10q60 + 3a21 6q0(a21 + a2) 6q50(5 +
6a1+8a2)12q30(1+6a1+16a21+9a2)+q20(1+18a1+132a21+42a2)+q40(31+90a1+96a
21+120a2)]/[6(12q0)5(1q0)2q20].
Letting the linear coecient to be zero yields
21 2q0 = ln
1 q0
q0
!, (24)
from which the lower bound for q(C
! 0) = q0 =(
C
! 0) ' 0.083 221 720 199 517 7 found numerically[lim
C
!0 U(C , q) = 1 2q, thus (C ! 0) = q(C ! 0)by Eq. (16b)]. Figure 3 shows the numerical solution (q, )as a function of
C
, where the asymptotic behaviors derivedabove hold when
C
' 0 and C
' 1. It seems that q ismonotonically increased and is monotonically decreased,as
C
is increased, i.e., qmin = q(
C
! 0), qmax = q(C = 1),min = 0, and
max =
(C
! 0). Figure 4 illustrates the situ-ation on the (q, ) plane. The linear coecient a1 in Eq. (22)can be written in terms of q0 when we let the coecient of thequadratic term in Eq. (23) to be zero, as
a1 =q0(1 q0)2(1 2q0) . (25)
Similarly, the coecient a2 in Eq. (22) can also be written interms of q0 alone, by letting c3(q0, a1, a2) = 0 in Eq. (23) andusing the relations in Eqs. (24) and (25), as
a2 =7q0(1 q0)24(1 2q0) . (26)
With the relations of coecients in hand, we find theasymptotic behavior of op in Eq. (19) by expanding it withrespect to
C
after substituting q as the series expansion of
C
in Eq. (22). Then,
op =1
(1 2q0) ln[(1 q0)/q0]C
+
a1q03q20+2q30
+[q20+2a1q0(1+4a1)] ln[(1q0)/q0]
(12q0)3
ln2[(1 q0)/q0]2
C
+ d3(q0, a1, a2)3C
+ O 4C
,
(27)
where d3(q0, a1, a2) = {2(1 2q0)2a1[q20 + 2a1 q0(1 +4a1)] ln[(1q0)/q0]+2[2q40+a14a212a2+4q0(4a21+3a2)+4q30(1+a1+4a2)2q20(1+3a1+8a21+12a2)] ln2[(1q0)/q0]+(12q0)4{2a21+[(12q0)a212(1q0)q0a2] ln[(1q0)/q0]}}/[(1q
20)
2q
20]. Using Eqs. (24), (25) and (26), Eq. (27) becomes sim-
ply
op =12
C
+182
C
+7 24q0 + 24q20
96(1 2q0)2 3C
+ O 4C
. (28)
different!' 0.077 492
= 0.0625
strong coupling between the thermodynamics fluxes: the heat flux is directly proportional to the work-generating flux ref) C. Van den Broeck, PRL 95, 190602 (2005).
strong coupling + symmetry between the reservoirs (left-right symmetry) ref) M. Esposito, K. Lindenberg, and C. Van den Broeck, PRL 102, 130602 (2009).
The deviation from CA
for op
enters from the third order.
No closed-form solution, but we get the series expansion at
cf) CA = 1p
1 C = 12C +
1
82C +
1
163C +
5
1284C +O(5C)
* C = 1
T2T1
C ! 0
-
0
0.2
0.4
0.6
0.8
1
0 0.2 0.4 0.6 0.8 1
op
c
at (q*, *)CA = 11c
c/(2c)c/2
c1 asymptote
0.88
0.92
0.96
1
0.97 0.98 0.99 1
op
c
: very similar to up to a certain point, but clearly different!
4
0
0.05
0.1
0.15
0.2
0 0.2 0.4 0.6 0.8 1
q* a
nd *
c = 1 T2 / T1
q**
q*(c0) = *(c0)q*(c=1)
c1 asymptote
FIG. 3. Numerically found q and values satisfying Eq. (18), as afunction of
C
= 1T2/T1, along with the q(C ! 0) = (C ! 0)and q(
C
= 1) values presented in Sec. III B 2. (C
= 1) = 0 (thehorizontal axis). The
C
! 1 asymptote indicates Eq. (34).schematically . . .
q
= q
no net work
as C is increased
q(C 0) = (C 0) 0.083 221 720 199 517 7
q(C = 1) 0.217 811 705 719 800(C = 1) = 0
FIG. 4. Illustration of the optimal transition rates (q, ) for the max-imum power output as the T2/T1 value varies.
2. Asymptotic behaviors obtained from series expansion
The upper bound for q is given by the condition C
= 1,satisfying ln[(1 q)/q] = 1/(1 q) and q(
C
= 1) '0.217 811 705 719 800 found numerically and (
C
= 1) = 0exactly from Eq. (16b).
C
= 0 always satisfies Eq. (18) re-gardless of q values, so finding the optimal q is meaningless(in fact, when
C
= 0, the operating regime for the engineis shrunk to the line q = and there cannot be any positivework). Therefore, let us examine the case
C
' 0 using theseries expansion of q with respect to
C
, as
q
= q0 + a1C + a22C
+ a33C
+ O 4C
. (22)
Substituting Eq. (22) into Eq. (18) and expanding the left-handside with respect to
C
again, we obtain
2 (1 2q0) ln[(1 q0)/q0]2q0 1 C
+q0(1 q0) 2a1(1 2q0)
2(1 q0)q0(1 2q0)32
C
+ c3(q0, a1, a2)3C
+ O 4C
= 0 ,
(23)
where c3(q0, a1, a2) = [10q60 + 3a21 6q0(a21 + a2) 6q50(5 +
6a1+8a2)12q30(1+6a1+16a21+9a2)+q20(1+18a1+132a21+42a2)+q40(31+90a1+96a
21+120a2)]/[6(12q0)5(1q0)2q20].
Letting the linear coecient to be zero yields
21 2q0 = ln
1 q0
q0
!, (24)
from which the lower bound for q(C
! 0) = q0 =(
C
! 0) ' 0.083 221 720 199 517 7 found numerically[lim
C
!0 U(C , q) = 1 2q, thus (C ! 0) = q(C ! 0)by Eq. (16b)]. Figure 3 shows the numerical solution (q, )as a function of
C
, where the asymptotic behaviors derivedabove hold when
C
' 0 and C
' 1. It seems that q ismonotonically increased and is monotonically decreased,as
C
is increased, i.e., qmin = q(
C
! 0), qmax = q(C = 1),min = 0, and
max =
(C
! 0). Figure 4 illustrates the situ-ation on the (q, ) plane. The linear coecient a1 in Eq. (22)can be written in terms of q0 when we let the coecient of thequadratic term in Eq. (23) to be zero, as
a1 =q0(1 q0)2(1 2q0) . (25)
Similarly, the coecient a2 in Eq. (22) can also be written interms of q0 alone, by letting c3(q0, a1, a2) = 0 in Eq. (23) andusing the relations in Eqs. (24) and (25), as
a2 =7q0(1 q0)24(1 2q0) . (26)
With the relations of coecients in hand, we find theasymptotic behavior of op in Eq. (19) by expanding it withrespect to
C
after substituting q as the series expansion of
C
in Eq. (22). Then,
op =1
(1 2q0) ln[(1 q0)/q0]C
+
a1q03q20+2q30
+[q20+2a1q0(1+4a1)] ln[(1q0)/q0]
(12q0)3
ln2[(1 q0)/q0]2
C
+ d3(q0, a1, a2)3C
+ O 4C
,
(27)
where d3(q0, a1, a2) = {2(1 2q0)2a1[q20 + 2a1 q0(1 +4a1)] ln[(1q0)/q0]+2[2q40+a14a212a2+4q0(4a21+3a2)+4q30(1+a1+4a2)2q20(1+3a1+8a21+12a2)] ln2[(1q0)/q0]+(12q0)4{2a21+[(12q0)a212(1q0)q0a2] ln[(1q0)/q0]}}/[(1q
20)
2q
20]. Using Eqs. (24), (25) and (26), Eq. (27) becomes sim-
ply
op =12
C
+182
C
+7 24q0 + 24q20
96(1 2q0)2 3C
+ O 4C
. (28)cf) CA = 1
p1 C = 1
2C +
1
82C +
1
163C +
5
1284C +O(5C)
-
0
0.2
0.4
0.6
0.8
1
0 0.2 0.4 0.6 0.8 1
op
c
at (q*, *)CA = 11c
c/(2c)c/2
c1 asymptote
0.88
0.92
0.96
1
0.97 0.98 0.99 1
op
c
M. Esposito et al., PRL 105, 150603 (2010)s upper and lower bounds, respectively
deviation
very similar
: very similar to up to a certain point, but clearly different!
4
0
0.05
0.1
0.15
0.2
0 0.2 0.4 0.6 0.8 1
q* a
nd *
c = 1 T2 / T1
q**
q*(c0) = *(c0)q*(c=1)
c1 asymptote
FIG. 3. Numerically found q and values satisfying Eq. (18), as afunction of
C
= 1T2/T1, along with the q(C ! 0) = (C ! 0)and q(
C
= 1) values presented in Sec. III B 2. (C
= 1) = 0 (thehorizontal axis). The
C
! 1 asymptote indicates Eq. (34).schematically . . .
q
= q
no net work
as C is increased
q(C 0) = (C 0) 0.083 221 720 199 517 7
q(C = 1) 0.217 811 705 719 800(C = 1) = 0
FIG. 4. Illustration of the optimal transition rates (q, ) for the max-imum power output as the T2/T1 value varies.
2. Asymptotic behaviors obtained from series expansion
The upper bound for q is given by the condition C
= 1,satisfying ln[(1 q)/q] = 1/(1 q) and q(
C
= 1) '0.217 811 705 719 800 found numerically and (
C
= 1) = 0exactly from Eq. (16b).
C
= 0 always satisfies Eq. (18) re-gardless of q values, so finding the optimal q is meaningless(in fact, when
C
= 0, the operating regime for the engineis shrunk to the line q = and there cannot be any positivework). Therefore, let us examine the case
C
' 0 using theseries expansion of q with respect to
C
, as
q
= q0 + a1C + a22C
+ a33C
+ O 4C
. (22)
Substituting Eq. (22) into Eq. (18) and expanding the left-handside with respect to
C
again, we obtain
2 (1 2q0) ln[(1 q0)/q0]2q0 1 C
+q0(1 q0) 2a1(1 2q0)
2(1 q0)q0(1 2q0)32
C
+ c3(q0, a1, a2)3C
+ O 4C
= 0 ,
(23)
where c3(q0, a1, a2) = [10q60 + 3a21 6q0(a21 + a2) 6q50(5 +
6a1+8a2)12q30(1+6a1+16a21+9a2)+q20(1+18a1+132a21+42a2)+q40(31+90a1+96a
21+120a2)]/[6(12q0)5(1q0)2q20].
Letting the linear coecient to be zero yields
21 2q0 = ln
1 q0
q0
!, (24)
from which the lower bound for q(C
! 0) = q0 =(
C
! 0) ' 0.083 221 720 199 517 7 found numerically[lim
C
!0 U(C , q) = 1 2q, thus (C ! 0) = q(C ! 0)by Eq. (16b)]. Figure 3 shows the numerical solution (q, )as a function of
C
, where the asymptotic behaviors derivedabove hold when
C
' 0 and C
' 1. It seems that q ismonotonically increased and is monotonically decreased,as
C
is increased, i.e., qmin = q(
C
! 0), qmax = q(C = 1),min = 0, and
max =
(C
! 0). Figure 4 illustrates the situ-ation on the (q, ) plane. The linear coecient a1 in Eq. (22)can be written in terms of q0 when we let the coecient of thequadratic term in Eq. (23) to be zero, as
a1 =q0(1 q0)2(1 2q0) . (25)
Similarly, the coecient a2 in Eq. (22) can also be written interms of q0 alone, by letting c3(q0, a1, a2) = 0 in Eq. (23) andusing the relations in Eqs. (24) and (25), as
a2 =7q0(1 q0)24(1 2q0) . (26)
With the relations of coecients in hand, we find theasymptotic behavior of op in Eq. (19) by expanding it withrespect to
C
after substituting q as the series expansion of
C
in Eq. (22). Then,
op =1
(1 2q0) ln[(1 q0)/q0]C
+
a1q03q20+2q30
+[q20+2a1q0(1+4a1)] ln[(1q0)/q0]
(12q0)3
ln2[(1 q0)/q0]2
C
+ d3(q0, a1, a2)3C
+ O 4C
,
(27)
where d3(q0, a1, a2) = {2(1 2q0)2a1[q20 + 2a1 q0(1 +4a1)] ln[(1q0)/q0]+2[2q40+a14a212a2+4q0(4a21+3a2)+4q30(1+a1+4a2)2q20(1+3a1+8a21+12a2)] ln2[(1q0)/q0]+(12q0)4{2a21+[(12q0)a212(1q0)q0a2] ln[(1q0)/q0]}}/[(1q
20)
2q
20]. Using Eqs. (24), (25) and (26), Eq. (27) becomes sim-
ply
op =12
C
+182
C
+7 24q0 + 24q20
96(1 2q0)2 3C
+ O 4C
. (28)cf) CA = 1
p1 C = 1
2C +
1
82C +
1
163C +
5
1284C +O(5C)
-
0
0.2
0.4
0.6
0.8
1
0 0.2 0.4 0.6 0.8 1
op
c
at (q*, *)CA = 11c
c/(2c)c/2
c1 asymptote
0.88
0.92
0.96
1
0.97 0.98 0.99 1
op
c
M. Esposito et al., PRL 105, 150603 (2010)s upper and lower bounds, respectively
deviation
very similar
: very similar to up to a certain point, but clearly different!Curzon-Ahlborn regime log correction regime
4
0
0.05
0.1
0.15
0.2
0 0.2 0.4 0.6 0.8 1
q* a
nd *
c = 1 T2 / T1
q**
q*(c0) = *(c0)q*(c=1)
c1 asymptote
FIG. 3. Numerically found q and values satisfying Eq. (18), as afunction of
C
= 1T2/T1, along with the q(C ! 0) = (C ! 0)and q(
C
= 1) values presented in Sec. III B 2. (C
= 1) = 0 (thehorizontal axis). The
C
! 1 asymptote indicates Eq. (34).schematically . . .
q
= q
no net work
as C is increased
q(C 0) = (C 0) 0.083 221 720 199 517 7
q(C = 1) 0.217 811 705 719 800(C = 1) = 0
FIG. 4. Illustration of the optimal transition rates (q, ) for the max-imum power output as the T2/T1 value varies.
2. Asymptotic behaviors obtained from series expansion
The upper bound for q is given by the condition C
= 1,satisfying ln[(1 q)/q] = 1/(1 q) and q(
C
= 1) '0.217 811 705 719 800 found numerically and (
C
= 1) = 0exactly from Eq. (16b).
C
= 0 always satisfies Eq. (18) re-gardless of q values, so finding the optimal q is meaningless(in fact, when
C
= 0, the operating regime for the engineis shrunk to the line q = and there cannot be any positivework). Therefore, let us examine the case
C
' 0 using theseries expansion of q with respect to
C
, as
q
= q0 + a1C + a22C
+ a33C
+ O 4C
. (22)
Substituting Eq. (22) into Eq. (18) and expanding the left-handside with respect to
C
again, we obtain
2 (1 2q0) ln[(1 q0)/q0]2q0 1 C
+q0(1 q0) 2a1(1 2q0)
2(1 q0)q0(1 2q0)32
C
+ c3(q0, a1, a2)3C
+ O 4C
= 0 ,
(23)
where c3(q0, a1, a2) = [10q60 + 3a21 6q0(a21 + a2) 6q50(5 +
6a1+8a2)12q30(1+6a1+16a21+9a2)+q20(1+18a1+132a21+42a2)+q40(31+90a1+96a
21+120a2)]/[6(12q0)5(1q0)2q20].
Letting the linear coecient to be zero yields
21 2q0 = ln
1 q0
q0
!, (24)
from which the lower bound for q(C
! 0) = q0 =(
C
! 0) ' 0.083 221 720 199 517 7 found numerically[lim
C
!0 U(C , q) = 1 2q, thus (C ! 0) = q(C ! 0)by Eq. (16b)]. Figure 3 shows the numerical solution (q, )as a function of
C
, where the asymptotic behaviors derivedabove hold when
C
' 0 and C
' 1. It seems that q ismonotonically increased and is monotonically decreased,as
C
is increased, i.e., qmin = q(
C
! 0), qmax = q(C = 1),min = 0, and
max =
(C
! 0). Figure 4 illustrates the situ-ation on the (q, ) plane. The linear coecient a1 in Eq. (22)can be written in terms of q0 when we let the coecient of thequadratic term in Eq. (23) to be zero, as
a1 =q0(1 q0)2(1 2q0) . (25)
Similarly, the coecient a2 in Eq. (22) can also be written interms of q0 alone, by letting c3(q0, a1, a2) = 0 in Eq. (23) andusing the relations in Eqs. (24) and (25), as
a2 =7q0(1 q0)24(1 2q0) . (26)
With the relations of coecients in hand, we find theasymptotic behavior of op in Eq. (19) by expanding it withrespect to
C
after substituting q as the series expansion of
C
in Eq. (22). Then,
op =1
(1 2q0) ln[(1 q0)/q0]C
+
a1q03q20+2q30
+[q20+2a1q0(1+4a1)] ln[(1q0)/q0]
(12q0)3
ln2[(1 q0)/q0]2
C
+ d3(q0, a1, a2)3C
+ O 4C
,
(27)
where d3(q0, a1, a2) = {2(1 2q0)2a1[q20 + 2a1 q0(1 +4a1)] ln[(1q0)/q0]+2[2q40+a14a212a2+4q0(4a21+3a2)+4q30(1+a1+4a2)2q20(1+3a1+8a21+12a2)] ln2[(1q0)/q0]+(12q0)4{2a21+[(12q0)a212(1q0)q0a2] ln[(1q0)/q0]}}/[(1q
20)
2q
20]. Using Eqs. (24), (25) and (26), Eq. (27) becomes sim-
ply
op =12
C
+182
C
+7 24q0 + 24q20
96(1 2q0)2 3C
+ O 4C
. (28)cf) CA = 1
p1 C = 1
2C +
1
82C +
1
163C +
5
1284C +O(5C)
-
the entropy production relation in our model
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
q + G1 sc
=T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
sh: the entropy reduction of the hot reservoirsc: the entropy production of the cold reservoir
-
the entropy production relation in our model
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
q + G1 sc
=T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
sh: the entropy reduction of the hot reservoirsc: the entropy production of the cold reservoir
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
q + G1 sc
=T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
q + G1 sc
=T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
where
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
q + G1 sc
=T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
the 1st law of thermodynamics:6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
q + G1 sc
=T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
the maximum hWneti condition
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
(1 )q + G1 s
c
(1 ) =
T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
concave
-
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
q + G1 sc
=T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
the maximum hWneti condition
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
(1 )q + G1 s
c
(1 ) =
T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
the linear regime
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
q + G1 sc
=T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 = 2) = |P1(t1 = 0)
W = E1 E2
W = E1 E2
Q1 Q2
WnetT1
sh =T2T1
sc +Wnet
T1
sh =E1T1
scG1 (sc)
sc
sh
FIG. 6. The entropy relation between sh
and sc
, given by Eq. (34) andthe linear relation in Eq. (36) representing the first law of thermody-namics. The maximum value of hWneti (the intercept of the linearrelation on the vertical axis times T1) is achieved when the line be-comes the tangential one of the curve, as illustrated here.
based on the relations in Eqs. (30) and (31) [the same proce-dure as the one leading to (25)]. As shown in Fig. 5, however,the asymptotic form only holds in a rather limited range of
C
very close to unity, indicating the necessity to taking higherorder terms into account for more accurate asymptotic behav-ior.
C. The entropy production relation
In Ref. [9], it is argued that the necessary and sucientcondition for the Curzon-Ahlborn eciency at the maximumpower is that the entropy productions at the hot and cold reser-voirs (denoted by s
h
and sc
, respectively) should be relatedby a specific functional form, namely, s
h
= F (sc
) whereF (x) = x/(1 + x) with the system-specific constant .
The entropy production in our model is given by
s
h
=hQ1iT1=
(1 e/2)21 e (q )
E1
T1,
s
c
=hQ2iT2=
(1 e/2)21 e (q )
E2
T2,
(33)
Given T1 and T2 and putting E1 as a constant, we obtain theentropy relation given by
s
h
=E1
T1
s
c
G1 (sc
), (34)
where G1 is the inverse function of G defined from the rela-tion in Eq. (33), s
c
= G(E2/T2). Note that sh is an increasingfunction with respect to s
c
while dsh
/dsc
is a decreasing one,so s
h
(sc
) is an increasing and concave function of sc
as il-lustrated in Fig. 6. Therefore, the unique [guaranteed by theconcavity of s
h
(sc
)] optimal entropy production denoted by
s
c
, which makes the power reach its maximum value, is deter-mined by
ds
h
ds
c
s
c
=sc
=E1
T1
q + G1 sc
=T2
T1, (35)
where T2/T1 comes from the thermodynamic first law,
s
h
=T2
T1s
c
+hWneti
T1. (36)
Here is not the same with the value in previous section yet:Since s
c
or obtained from Eq. (35) is a function of E1 or q,after optimizing q, q and agree with the previous ones.
BecauseG1(sc
) is not a linear function of sc
in our case, weconclude that op , CA in general. However, we reveal that itis possible to find the regime where the entropy production ofour model approximately follows the functional form F (x),which indeed corresponds to the op ' CA regime, as weshow in the following section.
1. The linear regime
First, we take the regime where T = T1 T2 T1. Thenfrom Eq. (35), one can see the solution E = E1 E2 E1or s
c
1, which allows the small sc
expansion of G1 up tothe linear order as
G1(sc
) ' G1(0) + dG1
ds
c
s
c
=0s
c
=E1
T1+ (E1/T1)sc , (37)
where the constant (E1/T1) is given by
= 2
T1
E1
!2 "1 + cosh
E1
T1
!#1 e
(1 e/2)2 . (38)
Inserting Eq. (37) to the entropy relation in Eq. (34), we findthat the entropy production for hot and cold reservoirs actuallyfollows the functional form F (x) = x/(1 + x) for
C
! 0,which explains the Curzon-Ahlborn-like behavior for
C
! 0when it is actually the case that T T1. We have alreadychecked that op ' CA as C ! 0 due to the same linear andquadratic coecients from the series expansion in Sec. III B 2,but the entropy production relation suggests that there couldbe a deeper relation between our model and engines with theoptimal eciency of CA than the reasons for the linear andquadratic coecients, namely, the strong coupling betweenthe thermodynamics fluxes and the reservoir symmetry, re-spectively. In fact, the implication of the reservoir symmetryin the expression F 1(x) = F (x) holds only for
C
! 0.We emphasize that the behavior of eciency op ' CA in
C
! 0 is independent of the value q. However we can opti-mize hWnetiwith respect to q as following: The optimal condi-tion to maximize hWneti for a given T2/T1 value is equivalentto minimize , because
hWneti = T1
0BBBB@1
rT2
T1
1CCCCA
2
/ 1/ , (39)
6
R1
E1T1
q
R2
E2
T2
0
q
0
during duringstochastic Markov processes
1 2
|P1(t1 = 0) |P1(t1 = 1) = |P2(t2 = 0) |P2(t2 = 2)
|P2(t2 =