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Energies
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Efficient Energy Conversion and Storage via Electrochemical Strategies
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Efficient Energy Conversion and Storage via Electrochemical Strategies

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D: Energy Storage and Application".

Deadline for manuscript submissions: 30 December 2024 | Viewed by 3576

Special Issue Editors

Dr. Shun Lu

E-Mail Website
Guest Editor
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
Interests: electrochemical sensors; fluorescent sensors; bio-imaging; electrical engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Ling Fang

E-Mail Website
Guest Editor
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
Interests: energy and environment science; hydrogen
Dr. Yanwei Wang

E-Mail Website
Guest Editor
The School of Chemistry and Chemical Engineering, State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing 400044, China
Interests: heterogeneous catalysis; electrocatalysis; water splitting

Special Issue Information

Dear Colleagues,

Efficient energy conversion and storage (EECS) through electrochemical strategies have gained significant attention due to the growing demand for sustainable energy solutions. Reliable and scalable storage systems to support the integration of renewable energy sources into the grid are urgently needed. Current trends in EECS include the development of advanced battery technologies, such as lithium-ion and solid-state batteries, as well as the exploration of novel materials and designs for fuel cells, water-based electrolysis, and (super)capacitors. To address the challenges in this field, it is crucial to focus on improving the energy density, cycle life, and safety of electrochemical devices, as well as reducing costs and environmental impact. This can be achieved through continued research into novel materials, manufacturing processes, and system integration, as well as the optimization of control and management strategies for energy storage systems. By addressing these aspects, more efficient and sustainable energy conversion and storage solutions are welcomed to be addressed in this Special Issue.

Dr. Shun Lu
Dr. Ling Fang
Dr. Yanwei 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

  • fuel cell
  • water electrolysis
  • supercapacitor
  • energy management
  • control strategies

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Published Papers (3 papers)

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Research

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20 pages, 26445 KiB  
Article
Multi-Dimensional Modelling of Bioinspired Flow Channels Based on Plant Leaves for PEM Electrolyser
by Mohammad Alobeid, Selahattin Çelik, Hasan Ozcan and Bahman Amini Horri
Energies 2024, 17(17), 4411; https://doi.org/10.3390/en17174411 - 3 Sep 2024
Viewed by 932
Abstract
The Polymer Electrolyte Membrane Water Electrolyser (PEMWE) has gained significant interest among various electrolysis methods due to its ability to produce highly purified, compressed hydrogen. The spatial configuration of bipolar plates and their flow channel patterns play a critical role in the efficiency [...] Read more.
The Polymer Electrolyte Membrane Water Electrolyser (PEMWE) has gained significant interest among various electrolysis methods due to its ability to produce highly purified, compressed hydrogen. The spatial configuration of bipolar plates and their flow channel patterns play a critical role in the efficiency and longevity of the PEM water electrolyser. Optimally designed flow channels ensure uniform pressure and velocity distribution across the stack, enabling high-pressure operation and facilitating high current densities. This study uses flow channel geometry inspired by authentic vine leaf patterns found in biomass, based on various plant leaves, including Soybean, Victoria Amazonica, Water Lily, Nelumbo Nucifera, Kiwi, and Acalypha Hispida leaves, as a novel channel pattern to design a PEM bipolar plate with a circular cross-section area of 13.85 cm2. The proposed bipolar design is further analysed with COMSOL Multiphysics to integrate the conservation of mass and momentum, molecular diffusion (Maxwell–Stefan), charge transfer equations, and other fabrication factors into a cohesive single-domain model. The simulation results showed that the novel designs have the most uniform velocity profile, lower pressure drop, superior pressure distribution, and heightened mixture homogeneity compared to the traditional serpentine models. Full article
(This article belongs to the Special Issue Efficient Energy Conversion and Storage via Electrochemical Strategies)
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Review

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24 pages, 17015 KiB  
Review
Defect Engineering of Nickel-Based Compounds for Energy-Saving H2 Production
by Yi Zeng, Xueqiang Qi, Shun Lu, Mohamed N. Khalil, Xiuxiu Dong and Haoqi Wang
Energies 2024, 17(15), 3801; https://doi.org/10.3390/en17153801 - 2 Aug 2024
Cited by 1 | Viewed by 885
Abstract
The urea oxidation reaction (UOR), requiring less energy to produce hydrogen, is considered as a potential alternative to the traditional oxygen evolution reaction. Consequently, developing highly efficient UOR catalysts to facilitate H2 production has garnered widespread attention. A promising approach to enhancing [...] Read more.
The urea oxidation reaction (UOR), requiring less energy to produce hydrogen, is considered as a potential alternative to the traditional oxygen evolution reaction. Consequently, developing highly efficient UOR catalysts to facilitate H2 production has garnered widespread attention. A promising approach to enhancing the effectiveness of these electrocatalysts is defect engineering. By introducing structural defects, defect engineering can expose more active sites and optimize their electronic structure, thereby improving their activity. This work offers a comprehensive overview of recent progress in defect engineering of nickel-based electrocatalysts for the UOR. It summarizes various strategies for generating defects, including the creation of vacancies, doping, the incorporation of single atoms, amorphization, and achieving high refractivity. Furthermore, we discuss the advanced characterization techniques commonly used to identify the presence of defects in these electrocatalysts, as well as to determine their detailed structures. Finally, we outline the prospects and challenges associated with the systematic design and fabrication of novel UOR electrocatalysts with tunable defects, aiming to further enhance their efficiency and stability. Full article
(This article belongs to the Special Issue Efficient Energy Conversion and Storage via Electrochemical Strategies)
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20 pages, 1948 KiB  
Review
Crystal Structure Prediction and Performance Assessment of Hydrogen Storage Materials: Insights from Computational Materials Science
by Xi Yang, Yuting Li, Yitao Liu, Qian Li, Tingna Yang and Hongxing Jia
Energies 2024, 17(14), 3591; https://doi.org/10.3390/en17143591 - 22 Jul 2024
Viewed by 1379
Abstract
Hydrogen storage materials play a pivotal role in the development of a sustainable hydrogen economy. However, the discovery and optimization of high-performance storage materials remain a significant challenge due to the complex interplay of structural, thermodynamic and kinetic factors. Computational materials science has [...] Read more.
Hydrogen storage materials play a pivotal role in the development of a sustainable hydrogen economy. However, the discovery and optimization of high-performance storage materials remain a significant challenge due to the complex interplay of structural, thermodynamic and kinetic factors. Computational materials science has emerged as a powerful tool to accelerate the design and development of novel hydrogen storage materials by providing atomic-level insights into the storage mechanisms and guiding experimental efforts. In this comprehensive review, we discuss the recent advances in crystal structure prediction and performance assessment of hydrogen storage materials from a computational perspective. We highlight the applications of state-of-the-art computational methods, including density functional theory (DFT), molecular dynamics (MD) simulations, and machine learning (ML) techniques, in screening, evaluating, and optimizing storage materials. Special emphasis is placed on the prediction of stable crystal structures, assessment of thermodynamic and kinetic properties, and high-throughput screening of material space. Furthermore, we discuss the importance of multiscale modeling approaches that bridge different length and time scales, providing a holistic understanding of the storage processes. The synergistic integration of computational and experimental studies is also highlighted, with a focus on experimental validation and collaborative material discovery. Finally, we present an outlook on the future directions of computationally driven materials design for hydrogen storage applications, discussing the challenges, opportunities, and strategies for accelerating the development of high-performance storage materials. This review aims to provide a comprehensive and up-to-date account of the field, stimulating further research efforts to leverage computational methods to unlock the full potential of hydrogen storage materials. Full article
(This article belongs to the Special Issue Efficient Energy Conversion and Storage via Electrochemical Strategies)
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