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Convection driven by internal heat sources and sinks: Heat transport beyond the mixing-length or “ultimate” scaling regime

Benjamin Miquel, Simon Lepot, Vincent Bouillaut, and Basile Gallet
Phys. Rev. Fluids 4, 121501(R) – Published 19 December 2019

Abstract

Thermal convection driven by internal heat sources and sinks was recently shown experimentally to exhibit the mixing-length or “ultimate” scaling-regime: The Nusselt number Nu (dimensionless heat flux) increases as the square-root of the Rayleigh-number Ra (dimensionless internal temperature difference). While for standard Rayleigh-Bénard convection this scaling regime was proven to be a rigorous upper bound on the Nusselt number, we show that this is not so for convection driven by internal sources and sinks. To wit, we introduce an asymptotic expansion to derive steady nonlinear solutions in the limit of large RaQ, the Rayleigh-number based on the strength of the heat source. We illustrate this procedure for a simple sinusoidal heat source and show that it achieves heat transport enhancement beyond the mixing-length scaling regime: Nu increases linearly with Ra over this branch of solutions. Using rigorous upper bound theory, we prove that the scaling regime NuRa of the asymptotic solution corresponds to a maximization of the heat flux subject to simple dynamical constraints, up to a dimensionless prefactor. Not only do two-dimensional numerical simulations confirm the analytical solution for the sinusoidal source, but, more surprisingly, they indicate that it is stable and indeed achieved by the system up to the highest RaQ investigated numerically, with a heat transport efficiency orders of magnitude higher than the standard mixing-length estimate.

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  • Received 23 July 2019

DOI:https://doi.org/10.1103/PhysRevFluids.4.121501

©2019 American Physical Society

Physics Subject Headings (PhySH)

Nonlinear DynamicsFluid Dynamics

Authors & Affiliations

Benjamin Miquel*, Simon Lepot, Vincent Bouillaut, and Basile Gallet

  • Service de Physique de l'Etat Condensé, CEA, CNRS UMR 3680, Université Paris-Saclay, CEA Saclay, 91191 Gif-sur-Yvette, France

  • *benjamin.miquel@cea.fr

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Issue

Vol. 4, Iss. 12 — December 2019

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