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arXiv 1409.4716cond-mat.stat-mech
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所有时间的效率统计:有限功率下的卡诺极限

Efficiency statistics at all times: Carnot limit at finite power

Matteo Polettini, Gatien Verley, Massimiliano Esposito

摘要:

我们推导出统计的效率的假设下,热力学通量波动与正常的法律,参数化的时间,宏观效率,和耦合参数$ζ$。它有一个奇特的行为:没有力矩,一个次卡诺最大值和一个超卡诺最大值对应于反向操作状态(发动机/泵),最可能的效率随时间降低。卡诺约束可以饱和的极限$ζ\to 0$产生两种极端情况,一种是机器以其宏观效率工作,卡诺极限对应于没有熵产生,另一种是对于像$1/ζ$这样的瞬态时间尺度,微观波动以这样一种方式增强,即最可能的效率在有限熵产生时接近卡诺。

英文摘要:

We derive the statistics of the efficiency under the assumption that thermodynamic fluxes fluctuate with normal law, parametrizing it in terms of time, macroscopic efficiency, and a coupling parameter $ζ$. It has a peculiar behavior: No moments, one sub- and one super-Carnot maxima corresponding to reverse operating regimes (engine/pump), the most probable efficiency decreasing in time. The limit $ζ\to 0$ where the Carnot bound can be saturated gives rise to two extreme situations, one where the machine works at its macroscopic efficiency, with Carnot limit corresponding to no entropy production, and one where for a transient time scaling like $1/ζ$ microscopic fluctuations are enhanced in such a way that the most probable efficiency approaches Carnot at finite entropy production.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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