Carnot Cycle at Finite Power and Attainability of Maximal Efficiency Armen Allahverdyan
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Transcript of Carnot Cycle at Finite Power and Attainability of Maximal Efficiency Armen Allahverdyan
Carnot Cycle at Finite Power and Attainability of Maximal Efficiency
Armen Allahverdyan(Yerevan Physics Institute)
-- Introduction: heat engines, Carnot cycle
-- Non-equilibrium Carnot cycle
-- Analysis: PRL 2013.
-- Coauthors: Karen Hovhannisyan,
S. Gevorkian, A. Melkikh
Cyclic engine
Work-source
1T 2T
1 2T THot bath Cold bath
1 2 0W Q Q Work: Power:
1/ 1W Q Efficiency:
/ cycleW
output / input
1Q2Q
W
Challenge: to make engines both powerful and efficient
U. Seifert, Rep. Prog. Phys. '12 Benenti, Casati, Prosen, Saito, arxiv:1311.4430
B. Andresen, Angew Chem '11
Carnot cycle: useless in practice: 4 times slow
2T
2S
1T
1S
Thermally isolated and slow
Isothermal and slow
1 1 1 2( )Q T S S
2 2 1 2( )Q T S S
1 2 1 1 2 1( ) / ( ) /Q Q Q T T T
Carnot = maximal efficiency
1 1/1( , )H Te H
2 2/2( , )H Te H
1 2( , )H
2 1( , )H
1T 2T
Non-equilibrium Carnot cycle
Engine: density matrix and Hamiltonian
2cycle relax
tH
tH
H,
1 1/1( , )H Te H
2 2/2( , )H Te H
1 2( , )H
2 1( , )H
Work-source and baths act separately easy to derive work and heat
)(tr 211/
111 HHeW TH
)(tr 121/
111 HHeQ TH
Maximize W over dynamics ,t tH H
n+1 energy levels and the temperatures are fixed
1T 2T
n degenerate states: energy concentration
nlnoptimized energy gaps
Sudden changes are optimal1 2H H 2cycle relax
Work and efficiency
1 2( ) ln (1)W T T n O
n>>1 number of levels
Relaxation time ?
)ln
1(
nOCarnot
Ad hoc: system-bath (interaction) Hamiltonian is fine-tuned to system Hamiltonian
Realistic
ln n >>1 number of particles
2cycle relax
BBSS HHH
n
kkkS wwEwwH
1
||||0
bath: 2-level systems
0],[ BSBS HHH )ln( nOrel
)ln
1(
nOCarnot
there is
)ln(2
nOW
rel
An example of fine-tuned system-bath Hamiltonian
realistic works for anyBSH SH
0,| wEw ,| 1 Ewn ,|
Unstructured data-base search (computationally complex)
)(nOrel )
ln(
2 n
nO
W
rel
Power zero
Vogl, Schaller, Brandes, PRA'10
Farhi, Gutman, PRA '98
Grover, PRL '97
Levinthal’s problem for protein folding Zwanzig, PNAS '95
Reduce W, resolve the degeneracy
0
0
E
E
( 0)0.3
( 0)CarnotW
W
92.0)0(
Carnot
s1relax
45.0)0(
)0(
W
W
The reason of not reaching Carnot efficiency for realistic system-bath interaction is computational complexity
Conclusions
Protein models as sub-optimal Carnot engine
Non-reachability of Carnot efficiency at a large power is not a law of nature: there is a fine-tuned interaction that achieves this.