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Local/volumetric entropy production analysis of natural convective flow using lattice Boltzmann method for heat exchanger application

Emad Hasani Malekshah (Department of Power Engineering and Turbomachinery, Silesian University of Technology, Gliwice, Poland)
Lioua Kolsi (Department of Mechanical Engineering, College of Engineering, University of Ha’il, Hail, Saudi Arabia and Laboratoir de Métrologie et des Systèmes Énergétiques, École Nationale d’Ingénieurs, Universite de Monastir, Monastir, Tunisia)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 3 October 2023

Issue publication date: 23 February 2024

182

Abstract

Purpose

The purpose of this study is the hydrothermal analysis of the natural convection phenomenon within the heat exchanger containing nanofluids using the lattice Boltzmann method (LBM).

Design/methodology/approach

The thermal conductivity as well as dynamic viscosity of the CuO–water nanofluid is estimated using the Koo-Kleinstreuer-Li model. The LBM has been used with unique modifications to make it flexible with the curved boundaries. The local as well as total entropy generation assessment, local Nusselt variation, as well as heatline visualization are used.

Findings

The solid volume percentage of the CuO–water nanofluid, a range of Rayleigh numbers (Ra) and thermal settings of internal operational fins and bodies are all factors that have been thoroughly researched to determine their effects on entropy production, heat transfer efficiency and nanofluid flow.

Originality/value

The originality of this work is using a novel numerical method (i.e. curved boundary LBM) as well as the local/volumetric second law analysis for the application of heat exchanger hydrothermal analysis.

Keywords

Citation

Hasani Malekshah, E. and Kolsi, L. (2024), "Local/volumetric entropy production analysis of natural convective flow using lattice Boltzmann method for heat exchanger application", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 34 No. 2, pp. 520-538. https://doi.org/10.1108/HFF-04-2023-0185

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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