Obtaining efficient thermal engines from interacting Brownian particles under time dependent periodic drivings

Abstract

We introduce an alternative route for obtaining reliable cyclic engines, based on interacting Brownian particles under time-periodic drivings. General expressions for the thermodynamic fluxes, such as power and heat, are obtained using the framework of Stochastic Thermodynamics. Several protocols for optimizing the engine performance are considered, by looking at system parameters such as the output forces and their phase-difference. We study both work-to-work and heat-to-work engines. Our results suggest that carefully designed interactions between particles can lead to more efficient engines.

References in corpus (16)

• Thermodynamic uncertainty relation for biomolecular processes
• Efficiency at maximum power: An analytically solvable model for stochastic heat engines
• High-precision test of Landauer's principle in a feedback trap
• The unlikely Carnot efficiency
• Discrete-time thermodynamic uncertainty relation
• Cost and Precision of Brownian Clocks
• Work and heat probability distribution of an optically driven Brownian particle: Theory and experiments
• Single Particle Stochastic Heat Engine
• Exactly solvable model of stochastic heat engine: Optimization of power, its fluctuations and efficiency
• Brownian duet: A novel tale of thermodynamic efficiency
• Two Coupled Double Quantum Dots Systems as an working substance for Heat Machines
• Maximal power for heat engines: role of asymmetric interaction times
• Thermodynamics of collisional models for Brownian particles: General properties and efficiency
• Work Relations Connecting Nonequilibrium Steady States Without Detailed Balance
• Entropy production and heat capacity of systems under time-dependent oscillating temperature
• Entropy production and heat transport in harmonic chains under time dependent periodic drivings

Cited by in corpus (6)

• Anomalous cooling and overcooling of active systems
• Thermodynamics and optimal protocols of multidimensional quadratic Brownian systems
• Characterization and optimization of heat engines: Pareto-optimal fronts and universal features
• Obtaining efficient collisional engines via velocity dependent drivings
• Optimal control strategy for collisional Brownian engines
• Steady-state heat engines driven by finite reservoirs