Energy conversion theorems for some linear steady-states
L. A. Arias-Hernandez, G. Valencia-Ortega, F. Angulo-Brown, C. R., Martinez-Garcia

TL;DR
This paper establishes energy conversion theorems for linear steady-state energy converters, revealing trade-offs between power, efficiency, and dissipation, supported by a circuit example and analysis of various optimal regimes.
Contribution
It introduces new thermodynamic theorems for linear energy converters, highlighting stability and energetic hierarchies across different operational regimes.
Findings
Theorems reveal trade-offs between power, efficiency, and dissipation.
A circuit example validates the theorems.
Hierarchies among operational regimes are demonstrated.
Abstract
One of the main issues that real energy converters present, when they produce effective work, is the inevitable entropy production. Within the context of Non-equilibrium Thermodynamics, entropy production tends to energetically degrade man-made or living systems. On the other hand, it is also not useful to think about designing an energy converter that works in the so-called minimum entropy production regime since the effective power output and efficiency are zero. In this manuscript, we establish some \textit{Energy Conversion Theorems} similar to Prigogine's one with constrained forces, their purpose is to reveal trade-offs between design and the so-called operation modes for --linear isothermal energy converters. The objective functions that give rise to those thermodynamic constraints show stability. A two--meshes electric circuit was built as an example to…
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.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Control and Stability of Dynamical Systems · thermodynamics and calorimetric analyses
