Energy-Efficient Enclosures in Natural Convection Systems Using Partition Control

Improving energy efficiency and thermal management in enclosure-based systems requires an understanding of how internal geometry governs buoyancy-driven flow and heat transfer. This study employs a partition-based control strategy to regulate flow organization and thermal stratification in natural convection enclosures. Numerical simulations are performed in a differentially heated square cavity with a bottom-attached adiabatic partition (H=0.0L–0.9L) for Rayleigh numbers (Ra) ranging from 103 to 106. The analysis examines how buoyancy–geometry interaction drives vortex suppression, extinction, and regeneration, shaping the thermal performance of energy-efficient enclosures. Flow evolution is characterized using vortex center trajectories, the local Nusselt number difference (ΔNu), and classification into the Thermal Transition Layer (TTL) and Conduction-Dominated Zone (CDZ). Increasing partition height progressively decouples the upper and lower cavity regions. At low Ra, suppression occurs gradually and symmetrically, maintaining a single-vortex structure up to large H. At high Ra, strong buoyancy induces nonlinear transitions from dual vortices to regenerated upper vortices. Cold wall circulation is suppressed more strongly than that near the hot wall, producing pronounced thermal asymmetry and reduced heat transfer. At the maximum partition height (H=0.9L), the surface-averaged Nusselt number decreases by approximately 75–92% across all Ra, indicating strong cooling suppression due to geometric confinement. TTL/CDZ mapping reveals that rapid CDZ growth and TTL expansion beyond H≈0.4L lead to a sharp decline in the average Nusselt number. These findings provide a quantitative framework for predicting suppression-driven transitions and guiding partition-controlled, energy-efficient enclosure design under varying buoyancy conditions.

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Publication Details

Journal
Energies
Published
2025-11-28
DOI
https://doi.org/10.3390/en18236267
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
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article

Energy-Efficient Enclosures in Natural Convection Systems Using Partition Control

Hyun Sik Yoon, Adarsh R. Nair, Rosa Kim
Energies
Nanofluid Flow and Heat Transfer
article

Energy-Efficient Enclosures in Natural Convection Systems Using Partition Control

Hyun Sik Yoon, Adarsh R. Nair, Rosa Kim
article en

Abstract

Improving energy efficiency and thermal management in enclosure-based systems requires an understanding of how internal geometry governs buoyancy-driven flow and heat transfer. This study employs a partition-based control strategy to regulate flow organization and thermal stratification in natural convection enclosures. Numerical simulations are performed in a differentially heated square cavity with a bottom-attached adiabatic partition (H=0.0L–0.9L) for Rayleigh numbers (Ra) ranging from 103 to 106. The analysis examines how buoyancy–geometry interaction drives vortex suppression, extinction, and regeneration, shaping the thermal performance of energy-efficient enclosures. Flow evolution is characterized using vortex center trajectories, the local Nusselt number difference (ΔNu), and classification into the Thermal Transition Layer (TTL) and Conduction-Dominated Zone (CDZ). Increasing partition height progressively decouples the upper and lower cavity regions. At low Ra, suppression occurs gradually and symmetrically, maintaining a single-vortex structure up to large H. At high Ra, strong buoyancy induces nonlinear transitions from dual vortices to regenerated upper vortices. Cold wall circulation is suppressed more strongly than that near the hot wall, producing pronounced thermal asymmetry and reduced heat transfer. At the maximum partition height (H=0.9L), the surface-averaged Nusselt number decreases by approximately 75–92% across all Ra, indicating strong cooling suppression due to geometric confinement. TTL/CDZ mapping reveals that rapid CDZ growth and TTL expansion beyond H≈0.4L lead to a sharp decline in the average Nusselt number. These findings provide a quantitative framework for predicting suppression-driven transitions and guiding partition-controlled, energy-efficient enclosure design under varying buoyancy conditions.

EnergiesVol. 18(23)
Pusan National University (KR)
Openalex Percentile: Top 62%
Nanofluid Flow and Heat Transfer
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Energy-Efficient Enclosures in Natural Convection Systems Using Partition Control — Hyun Sik Yoon, Adarsh R. Nair, et al. · Energies (2025) | TGRS Research Map | TGRS