Literature DB >> 20866207

Optimal refrigerator.

Armen E Allahverdyan1, Karen Hovhannisyan, Guenter Mahler.   

Abstract

We study a refrigerator model which consists of two n -level systems interacting via a pulsed external field. Each system couples to its own thermal bath at temperatures T h and T c, respectively (θ ≡ T c/T h < 1). The refrigerator functions in two steps: thermally isolated interaction between the systems driven by the external field and isothermal relaxation back to equilibrium. There is a complementarity between the power of heat transfer from the cold bath and the efficiency: the latter nullifies when the former is maximized and vice versa. A reasonable compromise is achieved by optimizing the product of the heat-power and efficiency over the Hamiltonian of the two systems. The efficiency is then found to be bounded from below by [formula: see text] (an analog of the Curzon-Ahlborn efficiency), besides being bound from above by the Carnot efficiency [formula: see text]. The lower bound is reached in the equilibrium limit θ → 1. The Carnot bound is reached (for a finite power and a finite amount of heat transferred per cycle) for ln n >> 1. If the above maximization is constrained by assuming homogeneous energy spectra for both systems, the efficiency is bounded from above by ζ CA and converges to it for n >> 1.

Entities:  

Year:  2010        PMID: 20866207     DOI: 10.1103/PhysRevE.81.051129

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

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Journal:  Sci Rep       Date:  2020-08-31       Impact factor: 4.379

2.  Power enhancement of heat engines via correlated thermalization in a three-level "working fluid".

Authors:  David Gelbwaser-Klimovsky; Wolfgang Niedenzu; Paul Brumer; Gershon Kurizki
Journal:  Sci Rep       Date:  2015-09-23       Impact factor: 4.379

3.  Quantum-enhanced absorption refrigerators.

Authors:  Luis A Correa; José P Palao; Daniel Alonso; Gerardo Adesso
Journal:  Sci Rep       Date:  2014-02-04       Impact factor: 4.379

4.  Battery Charging in Collision Models with Bayesian Risk Strategies.

Authors:  Gabriel T Landi
Journal:  Entropy (Basel)       Date:  2021-12-02       Impact factor: 2.524

  4 in total

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