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Computational Fluid Dynamics (CFD) for Heat Transfer Modeling
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Computational Fluid Dynamics (CFD) for Heat Transfer Modeling

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

Deadline for manuscript submissions: 15 August 2024 | Viewed by 878

Special Issue Editor

Dr. Juan Carlos Ramos

E-Mail Website
Guest Editor
TECNUN—Escuela de Ingeniería, University of Navarra, Paseo de Manuel Lardizabal 13, 20018 Donostia-San Sebastian, Spain
Interests: heat transfer; thermal engineering; modeling of thermal systems; CFDs

Special Issue Information

Dear Colleagues,

Computational Fluid Dynamic (CFD) techniques have demonstrated their usefulness as an indispensable tool to analyze and optimize complex systems in which fluid flows with heat and mass transfer are involved. The global tendency to increase energy efficiency has fostered the use of more reliable and accurate tools, such as CFDs, to model the heat transfer processes present in different engineering systems. It is used widely in diverse engineering sectors, such as energy generation systems; energy storage systems; propulsion systems; electronics; and HVAC systems.

This Special Issue aims to present and disseminate the most recent advances in the use of CFD techniques for heat transfer modeling in engineering applications with the purpose of considering the analysis of and improvement in their operation and performance at the component or system level. Topics of interest for this Special Issue include, but are not limited to, the following:

  • Power generation systems;
  • Thermal management of electronics;
  • HVAC systems;
  • Heat exchangers;
  • Heat engines;
  • Thermal storage systems;
  • Chemical systems;
  • Thermal energy efficiency;
  • Building thermal systems;
  • Combustion systems: boilers and furnaces;
  • CHP systems.

Dr. Juan Ramos
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

  • CFD
  • heat transfer
  • thermal engineering
  • thermal systems

Published Papers (1 paper)

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Research

25 pages, 5985 KiB  
Article
The Cut-Cell Method for the Conjugate Heat Transfer Topology Optimization of Turbulent Flows Using the “Think Discrete–Do Continuous” Adjoint
by Nikolaos Galanos, Evangelos M. Papoutsis-Kiachagias and Kyriakos C. Giannakoglou
Energies 2024, 17(8), 1817; https://0-doi-org.brum.beds.ac.uk/10.3390/en17081817 - 10 Apr 2024
Viewed by 579
Abstract
This paper presents a topology optimization (TopO) method for conjugate heat transfer (CHT), with turbulent flows. Topological changes are controlled by an artificial material distribution field (design variables), defined at the cells of a background grid and used to distinguish a fluid from [...] Read more.
This paper presents a topology optimization (TopO) method for conjugate heat transfer (CHT), with turbulent flows. Topological changes are controlled by an artificial material distribution field (design variables), defined at the cells of a background grid and used to distinguish a fluid from a solid material. To effectively solve the CHT problem, it is crucial to impose exact boundary conditions at the computed fluid–solid interface (FSI); this is the purpose of introducing the cut-cell method. On the grid, including also cut cells, the incompressible Navier–Stokes equations, coupled with the Spalart–Allmaras turbulence model with wall functions, and the temperature equation are solved. The continuous adjoint method computes the derivatives of the objective function(s) and constraints with respect to the material distribution field, starting from the computation of derivatives with respect to the positions of nodes on the FSI and then applying the chain rule of differentiation. In this work, the continuous adjoint PDEs are discretized using schemes that are consistent with the primal discretization, and this will be referred to as the “Think Discrete–Do Continuous” (TDDC) adjoint. The accuracy of the gradient computed by the TDDC adjoint is verified and the proposed method is assessed in the optimization of two 2D cases, both in turbulent flow conditions. The performance of the TopO designs is investigated in terms of the number of required refinement steps per optimization cycle, the Reynolds number of the flow, and the maximum allowed power dissipation. To illustrate the benefits of the proposed method, the first case is also optimized using a density-based TopO that imposes Brinkman penalization terms in solid areas, and comparisons are made. Full article
(This article belongs to the Special Issue Computational Fluid Dynamics (CFD) for Heat Transfer Modeling)
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