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Editorial

Editorial on the Special Issue “Progresses in Electrochemical Energy Conversion and Storage—Materials, Structures and Simulation”—Towards Better Electrochemical Energy Conversion and Storage Technologies

1
Institute for Energy Research, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
2
School of Mechanical and Vehicle Engineering, Nanchang Institute of Science and Technology, 998 Gezaoshan Road, Nanchang 330108, China
*
Authors to whom correspondence should be addressed.
Processes 2024, 12(10), 2098; https://doi.org/10.3390/pr12102098
Submission received: 9 September 2024 / Accepted: 26 September 2024 / Published: 27 September 2024
Energy is at the heart of the sustainable development agenda, with an emphasis on efficient conversion and storage [1,2,3]. Thereinto, electrochemical energy plays a key role on the broad energy map [4]. In the dynamic and rapidly evolving landscape of electrochemical energy conversion and storage, the requirements for innovative materials, efficient structures, and accurate simulation models are more pertinent than ever [5,6]. It is with great pleasure that we introduce this Special Issue of Processes, aptly titled “Progresses in Electrochemical Energy Conversion and Storage—Materials, Structures and Simulation”. This collection of scholarly articles represents the forefront of research dedicated to enhancing the performance, reliability, and sustainability of energy systems. Various journals were involved in this Special Issue, and six papers were ultimately published in this Special Issue. Among them, three articles report the importance of lithium-ion battery thermal management, including the application of phase change materials (PCMs), new structures, and advanced simulation, respectively [7,8,9]. These studies try to provide valuable insights aimed at improving the high-powered thermal management system of lithium-ion batteries. Moreover, two articles focus on polymer electrolyte membrane fuel cells (PEMFC). One provides the optimal gas purging strategy of PEMFC under different electrochemical reaction intensities, which boosts cell performance [10], while another simulation study reveals the effect of material heat conductivity, which provides a reference for the future of using advanced anisotropic materials for PEMFC [11]. The last one studies the optimal electrode structure by a machine learning model coupled with a genetic algorithm, which stands for the potential for artificial intelligence to revolutionize material design and electrochemical engineering [12].
All of the articles mentioned above were determined following strict peer review. The papers featured in this Special Issue of Processes reflect the depth and breadth of current research in electrochemical energy conversion and storage. They showcase the importance of interdisciplinary collaboration, innovative material development, and sophisticated simulation techniques in advancing the field. We are confident that the insights and breakthroughs presented herein will serve as a catalyst for further research and technological advancements.
On behalf of the editorial team, we extend our heartfelt thanks to the authors for their pioneering works and to the reviewers for their critical insights. We also express our gratitude to the readership for their continued interest and engagement with our journal.
As we look to the future, we remain committed to fostering a platform for the exchange of ideas and the dissemination of knowledge that drives progress in the field of electrochemical energy systems. We invite you to join us in celebrating the achievements highlighted in this Special Issue and to anticipate the ongoing evolution of this exciting area of research.

Author Contributions

All authors contributed equally to all aspects of this Topical Issue. All authors have read and agreed to the published version of the manuscript.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Gielen, D.; Boshell, F.; Saygin, D.; Bazilian, M.; Wagner, N.; Gorini, R. The role of renewable energy in the global energy transformation. Energy Strategy Rev. 2019, 24, 38. [Google Scholar] [CrossRef]
  2. Das, C.; Bass, O.; Kothapalli, G.; Mahmoud, T.; Habibi, D. Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality. Renew. Sustain. Energy Rev. 2018, 91, 1205. [Google Scholar] [CrossRef]
  3. Jiang, H.; Wei, L.; Fan, X.; Xu, J.; Shyy, W.; Zhao, T. A novel energy storage system incorporating electrically rechargeable liquid fuels as the storage medium. Sci. Bull. 2019, 64, 270. [Google Scholar] [CrossRef] [PubMed]
  4. Darling, R.; Gallagher, K.; Kowalski, J.; Ha, S.; Brushett, F. Pathways to low-cost electrochemical energy storage: A comparison of aqueous and nonaqueous flow batteries. Energy Environ. Sci. 2014, 7, 3459. [Google Scholar] [CrossRef]
  5. Wang, H.; Dai, H. Strongly coupled inorganic–nano-carbon hybrid materials for energy storage. Chem Soc. Rev. 2013, 42, 3088. [Google Scholar] [CrossRef] [PubMed]
  6. Razzhivin, I.; Suvorov, A.; Ufa, R.; Andreev, M.; Askarov, A. The energy storage mathematical models for simulation and comprehensive analysis of power system dynamics: A review. Int. J. Hydrog. Energy 2023, 48, 22141. [Google Scholar] [CrossRef]
  7. Zhang, Y.; Fu, Q.; Liu, Y.; Lai, B.; Ke, Z.; Wu, W. Investigations of Lithium-Ion Battery Thermal Management System with Hybrid PCM/Liquid Cooling Plate. Processes 2023, 11, 57. [Google Scholar] [CrossRef]
  8. Luo, H.; Yang, C.; Xu, M.; Zhang, Y. Numerical Investigation of Heat Transfer Characteristics of Trapezoidal Fin Phase Change Thermal Energy Storage Unit. Processes 2024, 12, 1080. [Google Scholar] [CrossRef]
  9. Xu, Y.; Wang, Z.; Ke, Z.; Lai, B.; Zhang, Y.; Huang, X. Experimental and Simulation Research on Heat Pipe Thermal Management System Coupled with Battery Thermo-Electric Model. Processes 2023, 11, 1204. [Google Scholar] [CrossRef]
  10. Chen, S.; Tian, A.; Han, C. Study on Purging Strategy of Polymer Electrolyte Membrane Fuel Cell under Different Operation Conditions. Processes 2023, 11, 290. [Google Scholar] [CrossRef]
  11. Zhao, L.; Shang, K.; Wang, J.; Chen, Z. Numerical Simulation of the Effect of Heat Conductivity on Proton Exchange Membrane Fuel Cell Performance in Different Axis Directions. Processes 2023, 11, 1713. [Google Scholar] [CrossRef]
  12. Ma, Q.; Fu, W.; Xu, J.; Wang, Z.; Xu, Q. Study on the Optimal Double-Layer Electrode for a Non-Aqueous Vanadium-Iron Redox Flow Battery Using a Machine Learning Model Coupled with Genetic Algorithm. Processes 2023, 11, 1529. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Xu, Q.; Ma, Q. Editorial on the Special Issue “Progresses in Electrochemical Energy Conversion and Storage—Materials, Structures and Simulation”—Towards Better Electrochemical Energy Conversion and Storage Technologies. Processes 2024, 12, 2098. https://doi.org/10.3390/pr12102098

AMA Style

Xu Q, Ma Q. Editorial on the Special Issue “Progresses in Electrochemical Energy Conversion and Storage—Materials, Structures and Simulation”—Towards Better Electrochemical Energy Conversion and Storage Technologies. Processes. 2024; 12(10):2098. https://doi.org/10.3390/pr12102098

Chicago/Turabian Style

Xu, Qian, and Qiang Ma. 2024. "Editorial on the Special Issue “Progresses in Electrochemical Energy Conversion and Storage—Materials, Structures and Simulation”—Towards Better Electrochemical Energy Conversion and Storage Technologies" Processes 12, no. 10: 2098. https://doi.org/10.3390/pr12102098

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