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Energies
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Numerical Simulation Techniques for Fluid Flows and Heat Transfer
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Numerical Simulation Techniques for Fluid Flows and Heat Transfer

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 July 2024 | Viewed by 653

Special Issue Editor

Prof. Dr. Sławomir Dykas

E-Mail Website
Guest Editor
Department of Power Engineering and Turbomachinery, Silesian University of Technology, 44-100 Gliwice, Poland
Interests: CFD; turbomachinery; power systems

Special Issue Information

Dear Colleagues,

We are thrilled to announce a forthcoming Special Issue dedicated to "Numerical Simulation Techniques for Fluid Flows and Heat Transfer". This issue aims to present the latest research in the field of numerical methods related to the modelling of incompressible and compressible flows in which heat transfer processes occur, among others, as a result of phase changes or fuel combustion. It invites contributions from all researchers, academics, and industry practitioners engaged in the realm of computational fluid dynamics (CFD) and heat transfer. The purpose of this Special Issue is to present innovative solutions, novel algorithms, and simulation methodologies that will expand the knowledge in the field of energy conversion that occurs under the influence of fluid flow and heat transfer. Potential topics for submission include, but are not limited to:

  1. Numerical modelling of the flow in turbomachinery;
  2. Combustion modelling and simulation;
  3. Flow modelling in heat exchangers;
  4. Multiphase flow modelling;
  5. Conjugate heat transfer modelling;
  6. Applications of AI in fluid-flow and heat transfer simulations.

Authors are encouraged to submit original research articles, review papers, or technical notes that present substantial contributions to the field. We seek submissions that demonstrate novel solutions, comprehensive validations, and practical implications, fostering insightful discussions and advances in the field of CFD focused on the energy conversion processes.

We eagerly anticipate your valuable contributions to this Special Issue, offering a platform for sharing knowledge, exchanging ideas, and advancing the frontiers of numerical simulation techniques for fluid flows and heat transfer.

Prof. Dr. Sławomir Dykas
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

  • computational fluid dynamics (CFD)
  • heat transfer
  • numerical methods
  • fluid dynamics
  • simulation techniques

Published Papers (1 paper)

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Research

15 pages, 6782 KiB  
Article
Evaluation of a New Droplet Growth Model for Small Droplets in Condensing Steam Flows
by Sima Shabani, Mirosław Majkut, Sławomir Dykas, Krystian Smołka, Esmail Lakzian, Mohammad Ghodrati and Guojie Zhang
Energies 2024, 17(5), 1135; https://doi.org/10.3390/en17051135 - 27 Feb 2024
Viewed by 493
Abstract
As the condensation phenomenon occurs in the low-pressure stages of steam turbines, an accurate modelling of the condensing flows is very crucial and has a significant impact on the development of highly efficient steam turbines. In order to accurately simulate condensing steam flows, [...] Read more.
As the condensation phenomenon occurs in the low-pressure stages of steam turbines, an accurate modelling of the condensing flows is very crucial and has a significant impact on the development of highly efficient steam turbines. In order to accurately simulate condensing steam flows, it is essential to choose the right condensation model. Further research to enhance condensation models is of special importance because the outcomes of numerical studies of condensation models in recent years have not been entirely compatible with the experiments and there are still uncertainties in this area. Therefore, the main aim of this paper is to evaluate a proposed droplet growth model for modelling condensation phenomenon in condensing steam flows. The new model is derived to profit from the advantages of models based on the continuum approach for large droplets and those based on the kinetic theorem for small droplets, which results in the model being robust for a wide range of Knudsen numbers. The model is implemented into a commercial CFD tool, ANSYS Fluent 2022 R1, using UDFs. The results of the CFD simulations are validated against experimental data for linear cascades within the rotor and stator blade geometries of low-pressure steam turbine stages. The findings clearly demonstrate the superiority of the new model in capturing droplet growth, particularly for very small droplets immediately following nucleation. In contrast, widely used alternative droplet growth models tend to either underpredict or overpredict the droplet growth rate. This research significantly contributes to the ongoing efforts to enhance condensation modeling, providing a more accurate tool for optimizing the design and operation of low-pressure steam turbines, ultimately leading to a higher energy efficiency and a reduced environmental impact. Full article
(This article belongs to the Special Issue Numerical Simulation Techniques for Fluid Flows and Heat Transfer)
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