Search arXiv⌕ Search

arXiv · 1604.05253

Thermodynamic optimization of an electric circuit as a non-steady energy converter

Abstract

Electrical circuits with transient elements can be good examples of systems where non--steady irreversible processes occur, so in the same way as a steady state energy converter, we use the formal construction of the first order irreversible thermodynamic (FOIT) to describe the energetics of these circuits. In this case, we propose an isothermic model of two meshes with transient and passive elements, besides containing two voltage sources (which can be functions of time); this is a non--steady energy converter model. Through the Kirchhoff equations, we can write the circuit phenomenological equations. Then, we apply an integral transformation to linearise the dynamic equations and rewrite them in algebraic form, but in the frequency space. However, the same symmetry for steady states appears (cross effects). Thus, we can study the energetic performance of this converter model by means of two parameters: the "force ratio" and the "coupling degre". Furthermore, it is possible to obtain the characteristic functions (dissipation function, power output, efficiency, etc.). They allow us to establish a simple optimal operation regime of this energy converter. As an example, we obtain the converter behavior for the maximum efficient power regime (MPE).

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G. Valencia-Ortega, L. A. Arias-Hernandez. 2016-04-22. Thermodynamic optimization of an electric circuit as a non-steady energy converter. https://doi.org/10.1515/jnet-2016-0037

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Iterative map with power-law scaling of Gamma-distributed fluctuations related to prime numbers

Prime numbers arise in several contexts beyond number theory, including statistical mechanics, quantum mechanics, and dynamical systems. However, the mechanisms underlying the irregularities of their sequence and their connections to physical systems remain poorly understood. The present work provides further insight into the search for deterministic fingerprints in the prime sequence. To this end, prime gaps at different separation distances are investigated through an empirical analysis. Based on this analysis, a modified local approximation of the Prime Number Theorem is introduced and analyzed empirically, in which the logarithmic gap estimate is evaluated at a midpoint-corrected argument. From this relation an iterative map is obtained that reproduces the classical asymptotic prime spacing at leading order and satisfies an approximate semigroup property. The residual fluctuations are found to follow Gamma distributions rescaled by the correction terms, with a variance exhibiting an approximate power-law scaling in the prime separation distance.

cond-mat.stat-mech↗

Universal Dynamical Response to Slow Driving in Chaotic Systems

We propose a unified perspective on classical and quantum chaos based on the sensitivity of a system's stationary states to slow driving. We probe this sensitivity via the system's susceptibility to the average protocol speed, which we call the ``speed-Fisher information," and relate it to irreversible entropy production in the system. We show that chaotic dynamics manifests as a divergence of the speed-Fisher information with the protocol time, and that this response is controlled by the perturbation's low-frequency spectral weight. This approach to chaos applies to both classical and quantum Hamiltonian systems, and naturally extends to non-Hamiltonian classical flows. We illustrate this framework with simple classical and quantum examples, along with a non-Hamiltonian flow that qualitatively exhibits analogous low-frequency spectral behavior.

cond-mat.stat-mech↗