Efficiency at maximum power: An analytically solvable model for stochastic heat engines
Tim Schmiedl, Udo Seifert

TL;DR
This paper introduces an analytically solvable model for stochastic heat engines, deriving a universal efficiency at maximum power that differs from classical models, and illustrating it with a harmonic potential engine.
Contribution
The paper provides a new solvable model for stochastic heat engines and derives a universal efficiency at maximum power distinct from the Curzon-Ahlborn efficiency.
Findings
Universal efficiency at maximum power derived
Model illustrated with a harmonic potential engine
Efficiency at maximum power differs from classical models
Abstract
We study a class of cyclic Brownian heat engines in the framework of finite-time thermodynamics. For infinitely long cycle times, the engine works at the Carnot efficiency limit producing, however, zero power. For the efficiency at maximum power, we find a universal expression, different from the endoreversible Curzon-Ahlborn efficiency. Our results are illustrated with a simple one-dimensional engine working in and with a time-dependent harmonic potential.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
