Simulation with Entropy Thermodynamics

• Other Authors: Goupil, Christophe (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Subjects: Research & information: general; segmented thermoelectric generator; pulsed heat; transient; non-equilibrium quantum field theory; quantum brain dynamics; Kadanoff-Baym equation; entropy; super-radiance; complex systems thermodynamics; machine learning; quantum phase transition; Ising model; variational autoencoder; out of equilibrium thermodynamics; finite time thermodynamics; living systems; polyelectrolytes; Ohm law; colloids; Debye plasmas; thermodynamics; pressure-ionization; electrical conductivity; electronic entropy; Seebeck coefficient; transport; LaFeSi; FeRh; CuNi; thermoelectrics; power conversion; efficiency; voltage-electrical current curve; working point; entropy pump mode; generator mode; power factor; figure of merit; Altenkirch-Ioffe model; entropy production; optimization; reactor modelling; irreversible thermodynamics; TEG performance; device modeling; temperature profile; constant properties model; Fourier heat; Thomson heat; Joule heat; thermoelectric materials; energy harvesting; thermoelectric generator; working points; maximum electrical power point
• Online Access: DOAB: download the publication; DOAB: description of the publication

Beyond its identification with the second law of thermodynamics, entropy is a formidable tool for describing systems in their relationship with their environment. This book proposes to go through some of these situations where the formulation of entropy, and more precisely, the production of entropy in out-of-equilibrium processes, makes it possible to forge an approach to the behavior of very different systems. Whether for dimensioning structures; influencing parameter variability; or optimizing power, efficiency, or waste heat reduction, simulations based on entropy production offer a tool that is both compact and reliable. In the case of systems marked by complexity, it appears to be the only way. In that sense, realistic optimization can be carried out, integrating within the same framework both the system and all the constraints and boundary conditions that define it. Simulations based on entropy give the researcher a powerful analytical framework that crosses the disciplines of physics and links them together.