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Hydrogen Energy and Hydrogen Safety

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

Deadline for manuscript submissions: 20 June 2025 | Viewed by 4681

Special Issue Editors

Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China
Interests: hydrogen energy and hydrogen safety; microfluidics; heat transfer
Special Issues, Collections and Topics in MDPI journals
School of Mechanical Engineering, Shandong University, Jinan 250061, China
Interests: hydrogen energy; hydrogen safety

Special Issue Information

Dear Colleagues,

Hydrogen energy stands at the forefront of the transition to sustainable energy solutions and is poised to play a pivotal role in shaping a carbon-neutral future. As nations worldwide intensify their pursuit of decarbonization and strive to enhance energy resilience, the hydrogen economy is experiencing robust growth. This versatile energy carrier is increasingly integrated across diverse sectors such as transportation, manufacturing, and even residential settings. Beyond its role in powering vehicles, hydrogen serves as a critical component in a range of applications, from industrial processes to heating in homes and businesses. Moreover, hydrogen is instrumental in harnessing the potential of fluctuating renewable resources, such as solar and wind energies, to ensure a steady and reliable energy supply. While actively using hydrogen as an energy carrier, hydrogen safety concerns must be carefully managed due to its highly flammable nature. Ensuring robust safety protocols and technologies are in place is crucial to preventing potential leaks and explosions, fostering a safe environment for its storage, transportation, and use across various applications.

This Special Issue aims to report and disseminate the latest advances related to hydrogen energy and hydrogen safety. We invite contributions from researchers and industry experts who are pioneering new technologies, methodologies, and safety measures in the hydrogen sector. The goal is to highlight innovative approaches that enhance the efficiency, usability, and safety of hydrogen as an energy carrier, thereby facilitating its integration into the global energy mix. Contributions that address the technical challenges, regulatory issues, and economic aspects of hydrogen energy are particularly welcome.

Topics of interest include, but are not limited to, the following:

  • Hydrogen strategies, policies, and roadmaps;
  • Hydrogen production, storage, and transportation;
  • Hydrogen infrastructure;
  • Hydrogen fuel cells and HFCVs;
  • Innovative hydrogen energy processes and technologies;
  • Hydrogen safety and codes and standards;
  • Behaviors of gaseous and liquid hydrogen;
  • Physics effects of hydrogen flames and explosions;
  • Hydrogen effects on materials and components;
  • Risk assessment and safety management.

Dr. Xuefang Li
Dr. Qingxin Ba
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

  • hydrogen energy
  • hydrogen economy
  • fuel cell vehicles
  • energy storage
  • hydrogen safety
  • compressed hydrogen
  • liquid hydrogen
  • risk assessment
  • hydrogen codes and standards

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Published Papers (3 papers)

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Research

21 pages, 4396 KiB  
Article
A Multi-Optimization Method for Capacity Configuration of Hybrid Electrolyzer in a Stand-Alone Wind-Photovoltaic-Battery System
by Suliang Ma, Zeqing Meng, Yang Mei, Mingxuan Chen and Yuan Jiang
Appl. Sci. 2025, 15(6), 3135; https://doi.org/10.3390/app15063135 - 13 Mar 2025
Viewed by 451
Abstract
The coupling of renewable energy sources with electrolyzers under stand-alone conditions significantly enhances the operational efficiency and improves the cost-effectiveness of electrolyzers as a technologically viable and sustainable solution for green hydrogen production. To address the configuration optimization challenge in hybrid electrolyzer systems [...] Read more.
The coupling of renewable energy sources with electrolyzers under stand-alone conditions significantly enhances the operational efficiency and improves the cost-effectiveness of electrolyzers as a technologically viable and sustainable solution for green hydrogen production. To address the configuration optimization challenge in hybrid electrolyzer systems integrating alkaline water electrolysis (AWE) and proton exchange membrane electrolysis (PEME), this study proposes an innovative methodology leveraging the morphological analysis of Pareto frontiers to determine the optimal solutions under multi-objective functions including the hydrogen production cost and efficiency. Then, the complementary advantages of AWE and PEME are explored. The proposed methodology demonstrated significant performance improvements compared with the single-objective optimization function. When contrasted with the economic optimization function, the hybrid system achieved a 1.00% reduction in hydrogen production costs while enhancing the utilization efficiency by 21.71%. Conversely, relative to the efficiency-focused optimization function, the proposed method maintained a marginal 5.22% reduction in utilization efficiency while achieving a 6.46% improvement in economic performance. These comparative results empirically validate that the proposed hybrid electrolyzer configuration, through the implementation of the novel optimization framework, successfully establishes an optimal balance between the economy and efficiency of hydrogen production. Additionally, a discussion on the key factors affecting the rated power and mixing ratio of the hybrid electrolyzer in this research topic is provided. Full article
(This article belongs to the Special Issue Hydrogen Energy and Hydrogen Safety)
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24 pages, 8410 KiB  
Article
A Hybrid Machine Learning Approach: Analyzing Energy Potential and Designing Solar Fault Detection for an AIoT-Based Solar–Hydrogen System in a University Setting
by Salaki Reynaldo Joshua, An Na Yeon, Sanguk Park and Kihyeon Kwon
Appl. Sci. 2024, 14(18), 8573; https://doi.org/10.3390/app14188573 - 23 Sep 2024
Cited by 4 | Viewed by 2587
Abstract
This research aims to optimize the solar–hydrogen energy system at Kangwon National University’s Samcheok campus by leveraging the integration of artificial intelligence (AI), the Internet of Things (IoT), and machine learning. The primary objective is to enhance the efficiency and reliability of the [...] Read more.
This research aims to optimize the solar–hydrogen energy system at Kangwon National University’s Samcheok campus by leveraging the integration of artificial intelligence (AI), the Internet of Things (IoT), and machine learning. The primary objective is to enhance the efficiency and reliability of the renewable energy system through predictive modeling and advanced fault detection techniques. Key elements of the methodology include data collection from solar energy production and fault detection systems, energy potential analysis using Transformer models, and fault identification in solar panels using CNN and ResNet-50 architectures. The Transformer model was evaluated using metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and an additional variation of MAE (MAE2). Known for its ability to detect intricate time series patterns, the Transformer model exhibited solid predictive performance, with the MAE and MAE2 results reflecting consistent average errors, while the MSE pointed to areas with larger deviations requiring improvement. In fault detection, the ResNet-50 model outperformed VGG-16, achieving 85% accuracy and a 42% loss, as opposed to VGG-16’s 80% accuracy and 78% loss. This indicates that ResNet-50 is more adept at detecting and classifying complex faults in solar panels, although further refinement is needed to reduce error rates. This study demonstrates the potential for AI and IoT integration in renewable energy systems, particularly within academic institutions, to improve energy management and system reliability. Results suggest that the ResNet-50 model enhances fault detection accuracy, while the Transformer model provides valuable insights for strategic energy output forecasting. Future research could focus on incorporating real-time environmental data to improve prediction accuracy and developing automated AIoT-based monitoring systems to reduce the need for human intervention. This study provides critical insights into advancing the efficiency and sustainability of solar–hydrogen systems, supporting the growth of AI-driven renewable energy solutions in university settings. Full article
(This article belongs to the Special Issue Hydrogen Energy and Hydrogen Safety)
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16 pages, 80759 KiB  
Article
Non-Destructive Cyclic Analysis of Sealing Ability of Well Cement for Seasonal Underground Hydrogen Storage
by Athar Hussain, Hossein Emadi, Sugan Raj Thiyagarajan, Diana Maury Fernandez, Ion Ispas and Marshall Watson
Appl. Sci. 2024, 14(17), 7973; https://doi.org/10.3390/app14177973 - 6 Sep 2024
Cited by 1 | Viewed by 1049
Abstract
Underground hydrogen storage (UHS) is one potential solution that could provide a steady source of clean energy to the globe. Given their infrastructure, depleted hydrocarbon reservoirs may be a suitable storage option. However, ensuring wellbore integrity is a significant challenge when storing hydrogen [...] Read more.
Underground hydrogen storage (UHS) is one potential solution that could provide a steady source of clean energy to the globe. Given their infrastructure, depleted hydrocarbon reservoirs may be a suitable storage option. However, ensuring wellbore integrity is a significant challenge when storing hydrogen in such reservoirs. In this study, 3.81 × 7.62 cm cement samples were cured for 12 and 18 months and were cyclically exposed to hydrogen for three 28-day cycles at 10.34 MPa and 50 °C. The pressure increment was achieved at the rate of 2.06 MPa/hr. The cement’s porosity, permeability, and ultrasonic velocity were tested before and after each cycle. To investigate the changes in the surface structure and elemental composition, scanning electron microscopy (SEM) was conducted. The results illustrate increased porosity and permeability, but the ultrasonic velocity changes were insignificant. The SEM images do not exhibit any change in the microstructure. However, energy dispersive spectroscopy (EDS) mapping exhibited mineral dissolution. This study demonstrates how cyclic exposure to hydrogen will affect the integrity and the sealing ability of aged cement, which will be an essential factor to consider while repurposing existing oil and gas wells to hydrogen injectors or producers for UHS applications in depleted hydrocarbon reservoirs. Full article
(This article belongs to the Special Issue Hydrogen Energy and Hydrogen Safety)
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