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Heat and Mass Transfer of Multiphase Flow
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Heat and Mass Transfer of Multiphase Flow

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".

Deadline for manuscript submissions: closed (7 February 2023) | Viewed by 7585

Special Issue Editors

Dr. Weixiong Chen

E-Mail Website
Guest Editor
State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Interests: steam/gas-water two phase flow; emulation and optimization of thermal system; numerical study on two phase flow
Prof. Dr. Gen Li

E-Mail Website
Guest Editor
School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
Interests: thermal hydraulics in nuclear reactor; numerical simulation with particle method; solid–liquid phase change
Dr. Yubiao Sun

E-Mail Website
Guest Editor
Department of Engineering, University of Cambridge, Trumpington St., Cambridge CB2 1PZ, UK
Interests: multiphase flows; aerodynamics; spray cooling; droplet dynamics; thermal management; CFD flow modelling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Multiphase flow is a basic science to study multiphase fluid flow, heat and mass transfer, combustion, chemical reaction, etc., in which two or more substances with different phases, states and components coexist and have a clear interface. Multiphase flow not only involves the material structure and the transmission characteristics of basic particles and energy but also deeply integrates with basic sciences such as physics, chemistry and materials. Multiphase flow and its phenomena have been encountered in various application fields, such as fossil energy, renewable energy, hydrogen energy, nuclear energy, power engineering, petrochemical industry, environment and so on. It builds an important bridge between basic theoretical research and industrial engineering practice. It plays an important supporting and irreplaceable role in the breakthrough of energy science theories, the development of energy technologies, and even the revolution of industry and human society systems.

Our goal is to include comprehensive review papers and recent experimental, theoretical, and numerical results, related to the study of complexities in describing heat and mass transfer of multiphase flow. In particular, topics of interest include but are not limited to:

  • Multiphase flow and heat transfer.
  • Interfacial phenomena and energy and mass transfer.
  • Modeling and numerical methods of multiphase flow.
  • Industrial process multiphase flow (petroleum, nuclear engineering).
  • Crossed fields about multiphase flow (medicine, traffic, bionic...).

Dr. Weixiong Chen
Prof. Dr. Gen Li
Dr. Yubiao Sun
Guest Editors

Manuscript Submission Information

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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
  • multiphase flow
  • enhanced heat transfer
  • energy and mass transfer
  • computational fluid dynamic
  • fluid-structure interaction
  • melting and solidification

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Published Papers (4 papers)

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Research

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12 pages, 4344 KiB  
Article
Time-Average Heat Transfer Coefficient for Steam-Air Condensation during the Dropping of Containment Pressure
by Shaodan Li, Kai Hui, Zhiwu Ke and Yong Li
Energies 2022, 15(23), 9034; https://doi.org/10.3390/en15239034 - 29 Nov 2022
Cited by 1 | Viewed by 1528
Abstract
The passive containment cooling system (PCCS) has been applied in the new generation nuclear power plant. Previous studies mainly focused on steady-state heat transfer, but the actual heat transfer of PCCS is the transient process. Thus, investigating the transient heat transfer during the [...] Read more.
The passive containment cooling system (PCCS) has been applied in the new generation nuclear power plant. Previous studies mainly focused on steady-state heat transfer, but the actual heat transfer of PCCS is the transient process. Thus, investigating the transient heat transfer during the containment pressure dropping is necessary. The present study proposes a time-average condensation heat transfer coefficient (time-average condensation HTC) to characterize the intensity of transient condensation heat transfer. The time-average condensation HTC is defined as the heat absorbed per unit heat transfer area and per unit wall subcooling in a unit time. Experiments were performed to research the effect of initial gas-mixture pressure and air mass fraction on transient HTC. The result showed that the more significant gas-mixture pressure and lower air mass fraction could promote the transient-state heat transfer, especially the low air mass fraction. Based on the experimental result, a detailed empirical correlation for the time-average heat transfer coefficient is developed with an error of ±20%. Another simplified empirical correlation that only includes air mass fraction is also proposed to predict the transient heat transfer roughly. Besides, research on self-sustaining stability is also conducted to evaluate the stable operation characteristic of PCCS. The system can respond quickly and then run to a new steady state after interference during the long-term operation of PCCS. The phenomenon above implies that PCCS has good self-sustaining stability. Full article
(This article belongs to the Special Issue Heat and Mass Transfer of Multiphase Flow)
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13 pages, 2734 KiB  
Article
Simulation Analysis of Ejector Optimization for High Mass Entrainment under the Influence of Multiple Structural Parameters
by Jiantao Zheng, Yuyan Hou, Zhongwei Tian, Hongkui Jiang and Weixiong Chen
Energies 2022, 15(19), 7058; https://doi.org/10.3390/en15197058 - 26 Sep 2022
Cited by 4 | Viewed by 1710
Abstract
As an energy-saving technology, the ejector is widely used in the heating, aerospace, and chemical industry. The ejector performance is closely related to its structure, so the structure of the ejector needs to be optimized. In the present study, single-factor optimization is first [...] Read more.
As an energy-saving technology, the ejector is widely used in the heating, aerospace, and chemical industry. The ejector performance is closely related to its structure, so the structure of the ejector needs to be optimized. In the present study, single-factor optimization is first carried out, and the main structural parameters affecting the ejector performance are screened out. Then, the response surface method is used to analyze the combined effect of the multiple structural parameters of the ejector, find out the optimal structure, and analyze the flow field inside the ejector. This study shows that, through numerical simulation, the ejector performance obtained by the response surface method is better than that obtained by the single-factor optimization method or theoretically designed ejector, and the ejector performance is 35.4% higher than that of the theoretically designed ejector. Moreover, the optimal structure of the ejector obtained by the response surface method has high reliability, and the difference between the simulation result and the prediction result of the response surface method is 0.96%. Full article
(This article belongs to the Special Issue Heat and Mass Transfer of Multiphase Flow)
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15 pages, 4874 KiB  
Article
Calorific Value Forecasting of Coal Gangue with Hybrid Kernel Function–Support Vector Regression and Genetic Algorithm
by Xiangbing Gao, Bo Jia, Gen Li and Xiaojing Ma
Energies 2022, 15(18), 6718; https://doi.org/10.3390/en15186718 - 14 Sep 2022
Cited by 2 | Viewed by 1286
Abstract
The calorific value of coal gangue is a critical index for coal waste recycling and the energy industry. To establish an accurate and efficient calorific value forecasting model, a method based on hybrid kernel function–support vector regression and genetic algorithms is presented in [...] Read more.
The calorific value of coal gangue is a critical index for coal waste recycling and the energy industry. To establish an accurate and efficient calorific value forecasting model, a method based on hybrid kernel function–support vector regression and genetic algorithms is presented in this paper. Firstly, key features of coal gangue gathered from major coal mines are measured and used to build a sample set. Then, the forecasting performance of single kernel function-based models is established, and linear kernel and Gaussian kernel functions are chosen according to forecasting results. Next, a hybrid kernel combined with the two kernel functions mentioned above is used to establish a calorific value forecasting model. In addition, a genetic algorithm is introduced to optimize critical parameters of SVR and the adjustable weight. Finally, the forecasting model based on hybrid kernel function–support vector regression and genetic algorithms is built to predict the calorific value of new coal gangue samples. The experimental results indicate that the hybrid kernel function is more suitable for forecasting the calorific value of coal gangue than that of a single kernel function. Moreover, the forecasting performance of the proposed method is better than other conventional forecasting methods. Full article
(This article belongs to the Special Issue Heat and Mass Transfer of Multiphase Flow)
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Review

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21 pages, 7580 KiB  
Review
A Review on Heat Transfer Characteristics and Enhanced Heat Transfer Technology for Helium–Xenon Gas Mixtures
by Fulong Zhao, Yiguo Mei, Tiebo Liang, Bin Wang, Hao Jing and Weixiong Chen
Energies 2023, 16(1), 68; https://doi.org/10.3390/en16010068 - 21 Dec 2022
Cited by 1 | Viewed by 2016
Abstract
As one of the most promising working substances for space nuclear power sources, research on the heat transfer characteristics of helium–xenon gas mixtures has become the key issue in focus. In this paper, through an extensive literature research, the current research results are [...] Read more.
As one of the most promising working substances for space nuclear power sources, research on the heat transfer characteristics of helium–xenon gas mixtures has become the key issue in focus. In this paper, through an extensive literature research, the current research results are classified and organized. The results show that there are semi-empirical formulas for physical property parameters with high prediction accuracy, and there are also Nusselt correlations with small errors. However, both lack the support of experimental data. There is no systematic research on enhanced heat transfer technologies, and the conclusions of the existing studies are not significant, so they can only make limited reference contributions to the future study of enhanced heat transfer technologies. More flow and heat transfer experiments on helium–xenon mixtures are urgently needed, through detailed analysis of the heat transfer performance of helium–xenon flow, identifying the key factors affecting the heat transfer thermal resistance, and corresponding heat transfer enhancement measures to form an optimized design method applicable to helium–xenon heat exchangers. In this way, an enhanced heat transfer theory of helium–xenon heat exchangers can be developed. Full article
(This article belongs to the Special Issue Heat and Mass Transfer of Multiphase Flow)
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