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Obtaining efficient thermal engines from interacting Brownian particles under time-periodic drivings
Iago N Mamede1, Pedro E Harunari1,2, Bruno A N Akasaki1
1Instituto de Física da Universidade de São Paulo, 05314-970 São Paulo, Brazil.
Physical Review. E
|March 16, 2022
Summary
This study presents a new method for reliable cyclic engines using two interacting Brownian particles. Optimized driving protocols enhance performance for work-to-work converters and heat engines.
Area of Science:
- Thermodynamics
- Statistical Mechanics
- Nonlinear Dynamics
Background:
- Cyclic engines are crucial for energy conversion.
- Stochastic thermodynamics provides a framework for analyzing microscopic engines.
- Understanding particle interactions under time-periodic driving is key to engine optimization.
Purpose of the Study:
- To introduce an alternative route for obtaining reliable cyclic engines.
- To derive exact expressions for thermodynamic fluxes (power, heat) using stochastic thermodynamics.
- To optimize driving protocols for enhanced engine performance.
Main Methods:
- Utilizing two interacting Brownian particles subjected to time-periodic drivings.
- Applying the framework of stochastic thermodynamics to derive exact expressions for thermodynamic fluxes.
- Optimizing driving protocols by analyzing output forces and phase differences.
Main Results:
- Exact expressions for power and heat were obtained.
- Performance optimization was achieved by adjusting driving protocols.
- Stronger particle coupling generally improves engine performance, with nonlinear effects becoming significant at different temperatures.
Conclusions:
- The proposed method offers a reliable route to cyclic engines.
- Optimized protocols are essential for maximizing engine efficiency.
- Further research into nonlinear effects and coupling is recommended for advanced engine design.
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