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Energies
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Recent Advances in Computational Heat Transfer and Its Applications
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Recent Advances in Computational Heat Transfer and Its Applications

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J1: Heat and Mass Transfer".

Deadline for manuscript submissions: closed (5 December 2024) | Viewed by 1561

Special Issue Editor

Dr. Gholamreza Kefayati

E-Mail Website
Guest Editor
School of Engineering, University of Tasmania, Hobart Tasmania, TAS 7001, Australia
Interests: CFD; heat and mass transfer; nanofluid; MHD; ferrofluid; non-Newtonian fluid
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We propose a Special Issue entitled "Recent Advances in Computational Heat Transfer and Its Applications" for inclusion in Energies. Heat transfer is fundamental to numerous energy-related applications, ranging from thermal management in electronic devices to enhancing the efficiency of power generation systems. This Special Issue aims to showcase cutting-edge research and developments in computational methods applied to the field of heat transfer.

The integration of advanced computational techniques has revolutionized the study of heat transfer phenomena, enabling researchers to explore complex thermal processes with unprecedented accuracy and efficiency. This Special Issue will cover a broad spectrum of topics, including but not limited to:

  • Novel numerical methods for simulating heat transfer in complex geometries.
  • Advances in modelling and simulation of transient heat transfer phenomena.
  • Application of machine learning and artificial intelligence in enhancing computational heat transfer analyses.
  • Multiscale and multiphysics simulations for a comprehensive understanding of heat transfer processes.
  • Case studies and applications of computational heat transfer in energy systems, such as renewable energy, thermal energy storage, and heat exchangers.

We invite researchers and practitioners to contribute original research articles, reviews, and case studies that present significant advancements in computational heat transfer. This Special Issue aims to provide a platform for exchanging ideas and fostering collaboration among experts in the field.

We believe that this Special Issue will contribute to Energies by presenting the latest research findings and promoting discussions on the role of computational methods in addressing current challenges in the realm of heat transfer.

Dr. Gholamreza Kefayati
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • heat and mass transfer
  • CFD
  • computational thermal sciences
  • computational energy sciences
  • AI in thermal sciences

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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Research

20 pages, 9804 KiB  
Article
Numerical Simulation of Impingement Heat Transfer for a Laminar Premixed Bunsen Flame
by Darya A. Slastnaya, Roman V. Tolstoguzov, Leonid M. Chikishev and Vladimir M. Dulin
Energies 2025, 18(2), 270; https://doi.org/10.3390/en18020270 - 9 Jan 2025
Viewed by 410
Abstract
Flame impingement heat transfer is implemented in many industrial applications. The laminar premixed Bunsen flame, impinging on a flat cold surface, represents a basic model for the validation of computational fluid dynamics (CFD) codes, used for the simulation of industrial processes. Meanwhile, as [...] Read more.
Flame impingement heat transfer is implemented in many industrial applications. The laminar premixed Bunsen flame, impinging on a flat cold surface, represents a basic model for the validation of computational fluid dynamics (CFD) codes, used for the simulation of industrial processes. Meanwhile, as the present paper demonstrates, some features of basic flame configurations are not well-reviewed. The present paper reports on the direct numerical simulation of the thermofluidic field in a laminar premixed impinging Bunsen flame in comparison with advanced optical measurements. The results reveal the phenomenon of the central recirculation zone formation between the tip of the Bunsen flame cone and the cold surface. Cooled combustion products concentrate inside this zone, resulting in reduced heat transfer near the flow axis. All three tested chemical kinetic mechanisms (GRI-Mech 3.0, SanDiego, RMech1) provide reasonable predictions of the observed phenomenon, which explain previous experimental observations on the reduced heat transfer at the central axis of impinging flames. Moreover, the most detailed mechanism, GRI-Mech 3.0, predicts an elevated concentration of NOX pollutants caused by the mentioned phenomenon. Full article
(This article belongs to the Special Issue Recent Advances in Computational Heat Transfer and Its Applications)
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16 pages, 3489 KiB  
Article
Hierarchical Modeling of the Thermal Insulation Performance of Novel Plasters with Aerogel Inclusions
by Eugene D. Skouras, Georgia Tsolou and Alexandros N. Kalarakis
Energies 2024, 17(23), 5898; https://doi.org/10.3390/en17235898 - 24 Nov 2024
Viewed by 629
Abstract
Silica aerogel possesses a significantly lower thermal conductivity compared to still air at room temperature, thanks to its high porosity and advanced thermal and physical properties. It is extensively investigated for its potential use as an insulation material, usually being incorporated into other [...] Read more.
Silica aerogel possesses a significantly lower thermal conductivity compared to still air at room temperature, thanks to its high porosity and advanced thermal and physical properties. It is extensively investigated for its potential use as an insulation material, usually being incorporated into other matrix materials, such as cement plasters, to enhance the overall thermal performance with minimal weight load. The development of lightweight thermal insulation materials is a key step in reducing energy consumption in hot and cold environments during construction and in thermal equipment. The superior insulation capabilities of aerogels stem from their nanostructured SiO2 framework, which induces nanoscale rarefaction effects on the enclosed air near the SiO2 structure. This study reconstructed the nanostructured SiO2 network of modern aerogels using microscopy imaging and the literature data and integrated it into sophisticated heat transfer simulations at a microscopic level to predict its thermal performance. The simulation assumed conduction as the primary energy dissipation mechanism, incorporating local rarefaction effects based on kinetic theory approaches. SiO2 aggregates were modeled as interconnected strings of spherical beads, with variations in the aggregate size explored in a parametric study. Nanoscale rarefaction phenomena, such as slip wall and Knudsen diffusion, prevalent at these grain sizes and structures, were incorporated to refine the modeling approach. The degree of the aerogel content relative to the effective properties of the multiphasic material was then investigated systematically along the multilayered mortar thickness and on a representative multiphasic layer at the mesoscopic level. The results quantify the significant decrease in the thermal conductivity of the heterogeneous material as the porosity of the aerogel increased. The insulation performance of this aerogel incorporated into cement plasters was assessed with this hierarchical approach and validated against experimental data, providing insights for the optimization of the fabrication process and potential applications in construction. Full article
(This article belongs to the Special Issue Recent Advances in Computational Heat Transfer and Its Applications)
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