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Title: Comparison of entropy production rates in two different types of self-organized flows: Benard convection and zonal flow

Abstract

Two different types of self-organizing and sustaining ordered motion in fluids or plasmas--one is a Benard convection (or streamer) and the other is a zonal flow--have been compared by introducing a thermodynamic phenomenological model and evaluating the corresponding entropy production rates (EP). These two systems have different topologies in their equivalent circuits: the Benard convection is modeled by parallel connection of linear and nonlinear conductances, while the zonal flow is modeled by series connection. The ''power supply'' that drives the systems is also a determinant of operating modes. When the energy flux is a control parameter (as in usual plasma experiments), the driver is modeled by a constant-current power supply, and when the temperature difference between two separate boundaries is controlled (as in usual computational studies), the driver is modeled by a constant-voltage power supply. The parallel (series)-connection system tends to minimize (maximize) the total EP when a constant-current power supply drives the system. This minimum/maximum relation flips when a constant-voltage power supply is connected.

Authors:
;  [1]
  1. Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Chiba 277-8561 (Japan)
Publication Date:
OSTI Identifier:
22043566
Resource Type:
Journal Article
Journal Name:
Physics of Plasmas
Additional Journal Information:
Journal Volume: 19; Journal Issue: 1; Other Information: (c) 2012 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 1070-664X
Country of Publication:
United States
Language:
English
Subject:
70 PLASMA PHYSICS AND FUSION TECHNOLOGY; AVAILABILITY; COMPARATIVE EVALUATIONS; CONVECTION; CRITICALITY; ELECTRIC POTENTIAL; ENTROPY; EQUIVALENT CIRCUITS; NONLINEAR PROBLEMS; PLASMA; TOPOLOGY

Citation Formats

Kawazura, Y, and Yoshida, Z. Comparison of entropy production rates in two different types of self-organized flows: Benard convection and zonal flow. United States: N. p., 2012. Web. doi:10.1063/1.3675854.
Kawazura, Y, & Yoshida, Z. Comparison of entropy production rates in two different types of self-organized flows: Benard convection and zonal flow. United States. https://doi.org/10.1063/1.3675854
Kawazura, Y, and Yoshida, Z. 2012. "Comparison of entropy production rates in two different types of self-organized flows: Benard convection and zonal flow". United States. https://doi.org/10.1063/1.3675854.
@article{osti_22043566,
title = {Comparison of entropy production rates in two different types of self-organized flows: Benard convection and zonal flow},
author = {Kawazura, Y and Yoshida, Z},
abstractNote = {Two different types of self-organizing and sustaining ordered motion in fluids or plasmas--one is a Benard convection (or streamer) and the other is a zonal flow--have been compared by introducing a thermodynamic phenomenological model and evaluating the corresponding entropy production rates (EP). These two systems have different topologies in their equivalent circuits: the Benard convection is modeled by parallel connection of linear and nonlinear conductances, while the zonal flow is modeled by series connection. The ''power supply'' that drives the systems is also a determinant of operating modes. When the energy flux is a control parameter (as in usual plasma experiments), the driver is modeled by a constant-current power supply, and when the temperature difference between two separate boundaries is controlled (as in usual computational studies), the driver is modeled by a constant-voltage power supply. The parallel (series)-connection system tends to minimize (maximize) the total EP when a constant-current power supply drives the system. This minimum/maximum relation flips when a constant-voltage power supply is connected.},
doi = {10.1063/1.3675854},
url = {https://www.osti.gov/biblio/22043566}, journal = {Physics of Plasmas},
issn = {1070-664X},
number = 1,
volume = 19,
place = {United States},
year = {Sun Jan 15 00:00:00 EST 2012},
month = {Sun Jan 15 00:00:00 EST 2012}
}