Efficiency at maximum power and efficiency fluctuations in a linear Brownian heat engine model
Jong-Min Park, Hyun-Myung Chun, Jae Dong Noh

TL;DR
This paper analytically investigates a linear Brownian heat engine, deriving a universal efficiency at maximum power formula and analyzing efficiency fluctuations, revealing new insights into the probability distribution of stochastic efficiency.
Contribution
It extends the universal efficiency at maximum power to non-endoreversible engines and analyzes the large deviation function of efficiency fluctuations in a linear model.
Findings
Efficiency at maximum power: η_MP = 1 - √(T2/T1)
Large deviation function with minima at mean efficiency
Carnot efficiency is not the least likely in this model
Abstract
We investigate stochastic thermodynamics of a two-particles Langevin system. Each particle is in contact with a heat bath at different temperatures and , respectively. Particles are trapped by a harmonic potential and driven by a linear external force. The system can act as an autonomous heat engine performing work against the external driving force. Linearity of the system enables us to examine thermodynamic properties of the engine analytically. We find that the efficiency of the engine at maximum power is given by . This universal form has been known as a characteristic of endoreversible heat engines. Our result extends the universal behavior of to non-endoreversible engines. We also obtain the large deviation function of the probability distribution for the stochastic efficiency in the overdamped limit. The…
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