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Applied Sciences
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Thermal Energy Storage for Efficient Utilization: Materials, Process and Systems
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Thermal Energy Storage for Efficient Utilization: Materials, Process and Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 2441

Special Issue Editors

Dr. Alessio Tafone

E-Mail Website
Guest Editor
Surbana Jurong-NTU Corporate Lab, Nanyang Technological University, 61 Nanyang Drive, Singapore 637335, Singapore
Interests: energy storage; energy efficiency; thermal energy storage; waste heat and cold recovery; energy modelling and optimization
Special Issues, Collections and Topics in MDPI journals
Dr. Alessandro Romagnoli

E-Mail Website
Guest Editor
1. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 637335, Singapore
2. Energy Research Institute @ NTU, 1 Cleantech Loop, Singapore 637141, Singapore
Interests: thermal energy storage; waste heat recovery; range extender; propulsion; turbomachinery
Special Issues, Collections and Topics in MDPI journals
Dr. Antoni Gil

E-Mail Website
Guest Editor
Surbana Jurong-NTU Corporate Lab, Nanyang Technological University, Singapore 637335, Singapore
Interests: renewable energies; thermal energy storage; concentrated solar power; energetic efficiency; waste heat and cold recovery; heat exchangers
Dr. Lizhong Yang

E-Mail Website
Guest Editor
Surbana Jurong-NTU Corporate Lab, Nanyang Technological University, Singapore 637335, Singapore
Interests: cold thermal energy storage (CTES); cold CO2 capture technologies; liquid air energy storage (LAES); geothermal energy systems; innovative data center cooling technologies; LNG storage and cold energy recovery; H2 carrier reactor and energy system design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are inviting submissions for this Special Issue titled “Thermal Energy Storage for Efficient Utilization: Materials, Process and Systems”.

Thermal energy storage (TES) is rapidly becoming a crucial technology for a sustainable future, offering unique benefits such as helping to decouple heating and cooling demands from immediate power generation and supply availabilities. TES systems have an enormous potential to make thermal energy equipment more efficient and facilitate large-scale energy substitutions from an economic perspective. Recently, TES technologies have developed to a point where they can significantly impact the commercial, industrial and utility sectors, where energy demands vary daily, weekly and seasonally. Currently, research efforts are focused on developing and deploying new techniques to improve TES materials, control strategies, storage unit design and optimization, system integration and advanced numerical models that could further unlock the full potential of TES and support its subtle integration into current and future societies.

In this Special Issue, we invite submissions exploring cutting-edge research and recent advances in TES, focusing on emerging studies and their impact on modern technologies and applications. Both theoretical and experimental studies are welcome, as well as comprehensive reviews and survey papers. The following keywords offer an indication of the topics invited and are by no means limiting.

Dr. Alessio Tafone
Dr. Alessandro Romagnoli
Dr. Antoni Gil
Dr. Lizhong Yang
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. Applied Sciences 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 2400 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

  • TES material testing and simulations
  • TES material characterization
  • new TES material formulations
  • numerical studies
  • unit and component designs and tests
  • improved and optimized designs
  • corrosion control of TES-related equipment
  • operation control strategies
  • techno-economic analysis of TES units and systems
  • life cycle assessment of TES units and systems
  • machine learning and algorithms for TES design and optimization
  • TES integration with other energy facilities and systems, for example, renewables, demand response devices and electricity storage devices

Published Papers (2 papers)

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Research

24 pages, 9186 KiB  
Article
Capacity-Operation Collaborative Optimization for Wind-Solar-Hydrogen Multi-Energy Supply System
by Lintong Liu, Rongrong Zhai, Yangdi Hu, Hang Yin, Qiang Wang, Yu Xu and Chongbao Sun
Appl. Sci. 2023, 13(19), 11011; https://doi.org/10.3390/app131911011 - 6 Oct 2023
Cited by 2 | Viewed by 971
Abstract
In pursuit of widespread adoption of renewable energy and the realization of decarbonization objectives, this study investigates an innovative system known as a wind-solar-hydrogen multi-energy supply (WSH-MES) system. This system seamlessly integrates a wind farm, photovoltaic power station, solar thermal power station, and [...] Read more.
In pursuit of widespread adoption of renewable energy and the realization of decarbonization objectives, this study investigates an innovative system known as a wind-solar-hydrogen multi-energy supply (WSH-MES) system. This system seamlessly integrates a wind farm, photovoltaic power station, solar thermal power station, and hydrogen energy network at the power grid level. Central to the study is the introduction of a bi-level collaborative optimization model—an innovative algorithmic framework specifically tailored for complex multi-energy systems. This model co-optimizes both the capacity planning of essential system components and their annual load distribution, adeptly navigating the complexities of optimizing capacity and annual load distribution under uncertain energy sources and load conditions. A layered methodology synergistically combines linear programming with an advanced version of non-dominated sorting genetic algorithm-II. When applied to a real-world case study in Zhangbei, China, this approach identifies an optimal system capacity, leading to annual green power generation of 201.56 GW and a substantial reduction of over 173,703 tons of CO2 emissions. An economic analysis further reveals that each 1% reduction in CO2 emissions corresponds to a modest 1.7% increase in the system’s levelized cost of energy. Moreover, a comprehensive exploration of the impacts of various capacity parameters on the WSH-MES system’s performance is conducted. These insights offer invaluable guidance for the large-scale advancement of efficient renewable energy utilization and the attainment of decarbonization targets. Full article
(This article belongs to the Special Issue Thermal Energy Storage for Efficient Utilization: Materials, Process and Systems)
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15 pages, 4065 KiB  
Article
Hardware-in-the-Loop Techniques for Complex Systems Analysis: Bibliometric Analysis of Available Literature
by Luisa F. Cabeza, David Verez and Mercè Teixidó
Appl. Sci. 2023, 13(14), 8108; https://doi.org/10.3390/app13148108 - 12 Jul 2023
Cited by 1 | Viewed by 1001
Abstract
Simulating complex systems in real time presents both significant advantages and challenges. Hardware-in-the-loop (HIL) simulation has emerged as an interesting technique for addressing these challenges. While HIL has gained attention in the scientific literature, its application in energy studies and power systems remains [...] Read more.
Simulating complex systems in real time presents both significant advantages and challenges. Hardware-in-the-loop (HIL) simulation has emerged as an interesting technique for addressing these challenges. While HIL has gained attention in the scientific literature, its application in energy studies and power systems remains scattered and challenging to locate. This paper aims to provide an assessment of the penetration of the HIL technique in energy studies and power systems. The analysis of the literature reveals that HIL is predominantly employed in evaluating electrical systems (smart grids, microgrids, wind systems), with limited application in thermal energy systems (energy storage). Notably, the combination of electrical hardware-in-the-loop (EHIL) and thermal hardware-in-the-loop (THIL) techniques has found application in the assessment of vehicle thermal management systems and smart cities and, recently, has also been adopted in building systems. The findings highlight the potential for further exploration and expansion of the HIL technique in diverse energy domains, emphasizing the need for addressing challenges such as hardware–software compatibility, real-time data acquisition, and system complexity. Full article
(This article belongs to the Special Issue Thermal Energy Storage for Efficient Utilization: Materials, Process and Systems)
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