Sustainability of Energy Conversion and Hydrogen and Fuel Cell Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 95
Special Issue Editors
Interests: fuel cell testing; modeling; life prediction; vibration
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
1. Introduction, including scientific background and highlighting the importance of this research area: In the current era of increasing energy demands and the pursuit of sustainable energy solutions, fuel cells have emerged as a promising technology. Fuel cells offer the advantages of high energy conversion efficiency, low emissions, and the potential for a wide range of applications, from transportation to stationary power generation. However, for fuel cells to reach their full potential, accurate testing methods are crucial to assess their performance under various operating conditions. Additionally, effective fault diagnosis techniques are essential to ensure the reliability and longevity of fuel cell systems, minimizing downtime and maintenance costs. Simulation and prediction models play a vital role in optimizing fuel cell design, operation, and performance prediction, enabling the development of more efficient and durable fuel cell technologies. This research area is of great significance as it directly impacts the practical implementation and widespread adoption of fuel cells in the global energy transition. 2. Aim of the Special issue and how the subject relates to the journal scope: The aim of this Special Issue is to bring together the latest research findings, innovative technologies, and novel approaches in the fields of fuel cell testing, fault diagnosis, and simulation prediction. By providing a platform for researchers to share their work, we hope to foster the exchange of ideas, promote collaboration, and drive the advancement of fuel cell technology. The subject of this Special Issue aligns well with the journal's scope, which focuses on cutting-edge research in energy-related fields. The contributions to this Special Issue will enhance the understanding of fuel cell systems, improve their performance and reliability, and contribute to the development of sustainable energy solutions, which are key areas of interest for the journal. 3. Suggest themes: In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: Advanced fuel cell testing techniques and methodologies. Real-time fault diagnosis and prognosis for fuel cell systems. Machine learning and artificial intelligence applications in fuel cell fault diagnosis. Multi-physics simulation models for fuel cell performance prediction. Optimization of fuel cell stack design and operation through simulation. Integration of fuel cell systems with other energy storage and conversion technologies. Experimental and numerical studies on fuel cell degradation mechanisms. Development of diagnostic tools for fuel cell stack and system-level faults. Performance evaluation and benchmarking of fuel cell testing equipment. We look forward to receiving your contributions.
Dr. Yongping Hou
Dr. Yuan Gao
Guest Editors
Manuscript Submission Information
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Keywords
- fuel cells
- testing
- fault diagnosis
- simulation
- prediction
- energy conversion
- sustainable energy
- performance evaluation
- machine learning
- degradation mechanisms
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