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Advanced Thermal Management Technologies and Heat Transfer

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

Deadline for manuscript submissions: 30 May 2025 | Viewed by 10435

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Special Issue Editors

Dr. Xili Duan

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Guest Editor

Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada
Interests: heat transfer; phase change; energy storage; fluid mechanics; multiphase flow; thermal management; surface and interfacial phemomena

Dr. Mohammad Parsazadeh

E-Mail Website
Guest Editor

Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada
Interests: fluid dynamics; heat transfer; heat exchangers; modeling and simulation; multiphase flow; nanofluids; numerical modeling; phase change heat transfer; physics-informed machine learning models; thermal energy; thermal engineering and management

Special Issue Information

Dear Colleagues,

The Guest Editors invite submissions to a Special Issue of Energies on the subject of “Advanced Thermal Management Technologies and Heat Transfer”. Thermal management and heat transfer are crucial to ensure the efficiency, safety, and reliability of energy systems. Advanced thermal management and heat transfer technologies are also critically needed in modern electronic systems, which have seen rapid growth alongside the development of high-speed computations, artificial intelligence (AI), and the electrification of transportation systems.

This Special Issue will cover novel and emerging thermal management and heat transfer techniques for energy and power systems. Topics of interest for publication include, but are not limited to, the following:

Multi-phase flow and heat transfer;

Phase change heat transfer and materials;

Micro/nano-scale heat transfer;

Enhanced heat transfer techniques;

Electronics cooling;

Thermal interface materials and analysis;

Thermal management in electric vehicles;

Anti-icing and de-icing of energy/power infrastructure;

Thermal energy storage;

Battery thermal management;

Heat transfer in renewable energy systems;

Air conditioning and refrigeration;

Artificial intelligence (including machine learning) in developing thermal management and enhanced heat transfer technologies.

Dr. Xili Duan
Dr. Mohammad Parsazadeh
Guest Editors

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

thermal management
electronics cooling
phase change heat transfer
heat transfer enhancement
energy storage
renewable energy
icing protection

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Published Papers (3 papers)

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Research

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20 pages, 4020 KiB

Open AccessArticle

Modeling of TES Tanks by Means of CFD Simulation Using Neural Networks

by Edgar F. Rojas Cala, Ramón Béjar, Carles Mateu, Emiliano Borri, Alessandro Romagnoli and Luisa F. Cabeza

Energies 2025, 18(3), 511; https://doi.org/10.3390/en18030511 - 23 Jan 2025

Viewed by 763

Abstract

Modeling of thermal energy storage (TES) tanks with computational fluid dynamics (CFD) tools exhibits limitations that hinder the time, scalability, and standardization of the procedure. In this study, an innovative technique is proposed to overcome the challenges in CFD modeling of TES tanks. This study assessed the feasibility of employing neural networks for TES tank modeling, evaluating the similarities in terms of structure and signal-to-noise ratio by comparing images generated by neural networks with those produced through CFD simulations. The results regarding the structural similarity index indicate that around 94% of the images obtained have a similarity index above 0.9. For the signal-to-noise ratio, the results indicate a mean value of 25 dB, which can be considered acceptable, although indicating room for improvement. Additional results show that our neural network model obtains the best performance when working with initial states close to the stable phase of the TES tank. The results obtained in this study are promising, laying the groundwork for a future pathway that could potentially replace the current methods used for TES tank modeling. Full article

(This article belongs to the Special Issue Advanced Thermal Management Technologies and Heat Transfer)

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Review

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36 pages, 5097 KiB

Open AccessEditor’s ChoiceReview

A Review of Thermal Management and Heat Transfer of Lithium-Ion Batteries

by Liang Xu, Shanyi Wang, Lei Xi, Yunlong Li and Jianmin Gao

Energies 2024, 17(16), 3873; https://doi.org/10.3390/en17163873 - 6 Aug 2024

Cited by 8 | Viewed by 5902

Abstract

With the increasing demand for renewable energy worldwide, lithium-ion batteries are a major candidate for the energy shift due to their superior capabilities. However, the heat generated by these batteries during their operation can lead to serious safety issues and even fires and explosions if not managed effectively. Lithium-ion batteries also suffer from significant performance degradation at low temperatures, including reduced power output, a shorter cycle life, and reduced usable capacity. Deploying an effective battery thermal management system (BTMS) is crucial to address these obstacles and maintain stable battery operation within a safe temperature range. In this study, we review recent developments in the thermal management and heat transfer of Li-ion batteries to offer more effective, secure, and cost-effective solutions. We evaluate different technologies in BTMSs, such as air cooling, liquid cooling, phase change materials, heat pipes, external preheating, and internal preheating, discussing their advantages and disadvantages. Through comparative analyses of high-temperature cooling and low-temperature preheating, we highlight the research trends to inspire future researchers. According to the review of the literature, submerged liquid BTMS configurations show the greatest potential as a research focus to enhance thermal regulation in Li-ion batteries. In addition, there is considerable research potential in the innovation of air-based BTMSs, the optimization of liquid-based BTMSs, the coupling of heat pipes with PCMs, the integration of PCMs and liquid-cooled hybrid BTMSs, and the application of machine learning and topology optimization in BTMS design. The application of 3D printing in lithium-ion battery thermal management promises to enhance heat transfer efficiency and system adaptability through the design of innovative materials and structures, thereby improving the battery’s performance and safety. Full article

(This article belongs to the Special Issue Advanced Thermal Management Technologies and Heat Transfer)

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32 pages, 10642 KiB

Open AccessReview

A Review of Thermal Energy Management of Diesel Exhaust after-Treatment Systems Technology and Efficiency Enhancement Approaches

by Gang Wu, Guoda Feng, Yuelin Li, Tao Ling, Xuejun Peng, Zhilai Su and Xiaohuan Zhao

Energies 2024, 17(3), 584; https://doi.org/10.3390/en17030584 - 25 Jan 2024

Cited by 6 | Viewed by 3054

Abstract

The DOC (diesel oxidation catalyst), DPF (diesel particulate filter), SCR (selective catalytic reduction), and ASC (ammonia slip catalyst) are widely used in diesel exhaust after-treatment systems. The thermal management of after-treatment systems using DOC, DPF, SCR, and ASC were investigated to improve the efficiency of these devices. This paper aims to identify the challenges of this topic and seek novel methods to control the temperature. Insulation methods and catalysts decrease the energy required for thermal management, which improves the efficiency of thermal management. Thermal insulation decreases the heat loss of the exhaust gas, which can reduce the after-treatment light-off time. The DOC light-off time was reduced by 75% under adiabatic conditions. A 400 W microwave can heat the DPF to the soot oxidation temperature of 873 K at a regeneration time of 150 s. An SCR burner can decrease NOx emissions by 93.5%. Electrically heated catalysts can decrease CO, HC, and NOx emissions by 80%, 80%, and 66%, respectively. Phase-change materials can control the SCR temperature with a two-thirds reduction in NOx emissions. Pt-Pd application in the catalyst can decrease the CO light-off temperature to 113 °C. Approaches of catalysts can enhance the efficiency of the after-treatment systems and reduce the energy consumption of thermal management. Full article

(This article belongs to the Special Issue Advanced Thermal Management Technologies and Heat Transfer)

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