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Optimum performance characteristics and maximum power output of a low-dissipation quantum heat engine

Jingyi Chen, Junyi Wang, Yuzhuo Pan, Shanhe Su and Jincan Chen

Physica A: Statistical Mechanics and its Applications, 2025, vol. 677, issue C

Abstract: This study presents a low-dissipation quantum heat engine cycle and analyzes its performance characteristics. Based on the slow driven perturbation theory, the analytic expansion of heat in powers of time is derived. Employing the method of Lagrange multiplier, we establish a constraint relation between the efficiency and the power output. The performances of the low-dissipation heat engine are optimally analyzed by considering the different objective functions. The results underscore the significance of operating the low-dissipation quantum heat engine cycle within the optimal region to attain the large power output and high efficiency simultaneously. These findings contribute to the understanding and optimization of low-dissipation quantum heat engines, providing insights for the development of efficient energy conversion technologies.

Keywords: Quantum thermodynamics; Low-dissipation quantum heat engine; Slowly driven; Optimum performance characteristics; Maximum power output (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:677:y:2025:i:c:s0378437125005680

DOI: 10.1016/j.physa.2025.130916

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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