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Thermal Energy Storage Systems Modeling and Experimentation
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Thermal Energy Storage Systems Modeling and Experimentation

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

Deadline for manuscript submissions: 21 August 2024 | Viewed by 1673

Special Issue Editors

Dr. Chunrong Zhao

E-Mail Website
Guest Editor
Faculty of Engineering, The University of Sydney, Sydney 2006, Australia
Interests: thermal energy storage; melting and solidification characteristics; heat transfer enhancement; phase change material; thermochemical energy storage; lithium-ion battery thermal management
Dr. Jianyong Wang

E-Mail Website
Guest Editor
School of Aeronautics & Astronautics, Sun Yat-sen University, Guangzhou 510275, China
Interests: thermofluids; supercritical heat transfer; convection; CFD; turbulence

Special Issue Information

Dear Colleagues,

The Guest Editor is inviting submissions to a Special Issue of Energies on the subject area of ‘Thermal Energy Storage Systems Modelling and Experimentation’. Thermal energy storage (TES) systems are important to resolve the intermittence of renewable energies, such as solar thermal energy. Integrating TES into renewable energy systems can significantly enhance their reliability and stability while it also reduces the levelized cost of renewable electricity by virtue of its inherent low cost of thermal energy storage. Latent heat TES using phase change material (PCM) and thermochemical TES are very promising candidates, nevertheless, there are several significant challenges persisted, such as poor thermal conductivity of PCM, and integration methods.

This Special Issue will identify and deal with these research challenges of latent heat TES and thermochemical TES. Topics of interest for publication include, but are limited to:

  • TES integration for thermodynamic (power) cycles
  • Numerical modelling of TES systems
  • Melting and solidification characteristics of PCM systems
  • Heat transfer enhancement
  • Experimental analysis of TES systems
  • TES material development and testing

Dr. Chunrong Zhao
Dr. Jianyong Wang
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

  • melting and solidification
  • heat transfer enhancement
  • thermal energy storage
  • phase change materials
  • thermochemical storage

Published Papers (3 papers)

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Research

19 pages, 6022 KiB  
Article
Analysis of Characteristics on a Compressed Air Power System Generating Supercavitation Drag Reduction for Underwater Vehicles
by Yijian He and Han Zhang
Energies 2024, 17(7), 1735; https://doi.org/10.3390/en17071735 - 04 Apr 2024
Viewed by 441
Abstract
An unmanned underwater vehicle (UUV) powered by a compressed air power system is proposed to address challenges for battery/motor-powered vehicles under high-speed navigation, long endurance, and high mobility. These vehicles actively utilize supercavitation drag reduction by the exhausted gas from the compressed air [...] Read more.
An unmanned underwater vehicle (UUV) powered by a compressed air power system is proposed to address challenges for battery/motor-powered vehicles under high-speed navigation, long endurance, and high mobility. These vehicles actively utilize supercavitation drag reduction by the exhausted gas from the compressed air power system. MATLAB/Simulink and FLUENT are used to establish theoretical models of the compressed air power system and ventilation supercavitation. The relationship between system power and navigation resistance is examined with different air flows, along with a comparison of endurance of different power vehicles at various speeds. The issue of the endurance-enhancing effect of supercavitation at high speed is investigated. The results demonstrate that increasing the air flow leads to higher power and reduced navigation resistance, and there is a balance between them. Furthermore, compared to the battery-powered vehicles with equal energy storage capacity, the compressed air power system shows 210.08% to 458.20% longer endurance times at speeds of 30 kn to 60 kn. Similarly, considering equal energy storage mass, it achieves 42.02% to 148.96% longer endurance times at high speeds (30 kn to 60 kn). The integration of supercavitation and air-powered systems can greatly enhance the endurance and maneuverability of the vehicle at high speeds while ensuring a compact system structure. The investigations could offer valuable ideas for the development and application of compressed air power systems for UUV at 30 kn to 60 kn or higher maneuvering. Full article
(This article belongs to the Special Issue Thermal Energy Storage Systems Modeling and Experimentation)
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27 pages, 20428 KiB  
Article
Study on Multivariable Dynamic Matrix Control for a Novel Solar Hybrid STIGT System
by Shupeng Zheng, Zecheng Luo, Jiwu Wu, Lunyuan Zhang and Yijian He
Energies 2024, 17(6), 1425; https://doi.org/10.3390/en17061425 - 15 Mar 2024
Viewed by 453
Abstract
To construct a clean and efficient energy system, advanced solar thermal power generation technology is developed, i.e., a solar hybrid STIGT (Steam Injected Gas Turbine) system with near zero water supply. Such a system is conducive to the efficient use of solar energy [...] Read more.
To construct a clean and efficient energy system, advanced solar thermal power generation technology is developed, i.e., a solar hybrid STIGT (Steam Injected Gas Turbine) system with near zero water supply. Such a system is conducive to the efficient use of solar energy and water resources, and to improvement of the performance of the overall system. Given that the strong correlation between multiple-input and multiple-output of the new system, the MDMC (Multivariable Dynamic Matrix Control) method is proposed as an alternative to a PID (Proportional-Integral-Derivative) controller to meet requirements in achieving better control characteristics for a complex power system. First, based on MATLAB/Simulink, a dynamic model of the novel system is established. Then it is validated by both experimental and literature data, yielding an error no more than 5%. Subsequently, simulation results demonstrate that the overshoot of output power on MDMC is 1.2%, lower than the 3.4% observed with the PID controller. This improvement in stability, along with a reduction in settling time and peak time by over 50%, highlights the excellent potential of the MDMC in controlling overshoot and settling time in the novel system, while providing enhanced stability, rapidity, and accuracy in the regulation and control of distribution networks. Full article
(This article belongs to the Special Issue Thermal Energy Storage Systems Modeling and Experimentation)
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11 pages, 1999 KiB  
Article
Exploratory Testing of Energy-Saving Characteristics of Large-Scale Freeze-Drying Equipment
by Yiqiang Liu, Yanhua Tian and Yijian He
Energies 2024, 17(4), 884; https://doi.org/10.3390/en17040884 - 14 Feb 2024
Viewed by 479
Abstract
The advantages of continuous freeze-drying are increasingly being emphasized, including energy saving, high production efficiency, and superior quality. In this context, an innovative continuous production process and cold trap structure for large-scale freeze-drying equipment is proposed. Built-in alternating cold traps are adopted instead [...] Read more.
The advantages of continuous freeze-drying are increasingly being emphasized, including energy saving, high production efficiency, and superior quality. In this context, an innovative continuous production process and cold trap structure for large-scale freeze-drying equipment is proposed. Built-in alternating cold traps are adopted instead of the stationary type to reduce the defrosting downtime, significantly improving the energy efficiency of the refrigeration and heat pump heating units. In the freeze-drying production of shiitake, comparisons between the built-in alternating cold traps and the stationary type indicate a reduction in energy consumption of approximately 24% for the full production process when the alternating cold traps with tube coils are used, that is, from 1937 kW·h for the stationary type to 1471 kW·h. In addition, the energy consumption for the built-in alternating cold traps with finned tube coils could be further reduced by about 8%. Finally, through the implementation of the new continuous production process and built-in alternating cold traps in industrial large-scale freeze-drying equipment, the systematic energy consumption per unit of food dehydration (kg) is reduced by approximately 40%, i.e., from 1.31 kW·h in the intermittent production process to 0.79 kW·h in the new continuous production process. Full article
(This article belongs to the Special Issue Thermal Energy Storage Systems Modeling and Experimentation)
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