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Electronics
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Hydrogen and Fuel Cells: Innovations and Challenges, 2nd Edition
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Hydrogen and Fuel Cells: Innovations and Challenges, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: 15 May 2026 | Viewed by 1439

Special Issue Editors

Dr. Hanqing Yang

E-Mail Website
Guest Editor
School of Automation Engineering, University of Electronic and Technology of China, Chengdu 611756, China
Interests: optimal control of hydrogen-based microgrids; multi-energy network operation and optimization
Special Issues, Collections and Topics in MDPI journals
Dr. Jiajia Yang

E-Mail Website
Guest Editor
College of Science and Engineering, James Cook University, Townsville, QLD 4810, Australia
Interests: power system operation and optimization; smart grids; electricity markets; network modelling/planning for renewable integration
Special Issues, Collections and Topics in MDPI journals
Dr. Zening Li

E-Mail Website
Guest Editor
College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China
Interests: integrated energy system operation and optimization; hydrogen microgrid
Special Issues, Collections and Topics in MDPI journals
Dr. Zhengmao Li

E-Mail Website
Guest Editor
Department of Electrical Engineering and Automation, Aalto University, FI-00076 Aalto, Finland
Interests: combined heat and power; hydrogen; multi-energy system planning and operation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As a green and renewable energy source, hydrogen presents one of the most important directions for future energy development, which has flourished globally in recent years with broad market prospects. The large-scale utilization of renewable energy for hydrogen production cuts the cost of obtaining hydrogen. Furthermore, the continuous improvement of fuel cell technology and hydrogen storage technology strengthens the integration of hydrogen energy with smart grids and vehicles to reduce holistic carbon emissions and promote sustainable development. Compared with conventional renewable energies, despite its numerous merits, there are also many challenges associated with global hydrogen utilization, especially the technologies of relevant hydrogen devices, such as fuel cells and electrolysers, among others.

This Special Issue welcomes both original research articles and reviews Research areas may include (but are not limited to) the following:

  • Hydrogen generation and transmission in smart grids;
  • Hydrogen storage and transportation for multi-energy systems;
  • Hydrogen vehicles for resilience enhancement;
  • Fuel cell control with hydrogen fuel;
  • Optimal operation of the hydrogen-based microgrid;
  • Smart operation of hydrogen sources via artificial intelligence;
  • Smart grid integration of hydrogen systems;
  • Electronics-enabled carbon emission monitoring and reduction in hydrogen infrastructure;
  • Energy-efficient heat recycling technologies in hydrogen systems;
  • Digitalization and electronic control in the hydrogen energy market.

Dr. Hanqing Yang
Dr. Jiajia Yang
Dr. Zening Li
Dr. Zhengmao Li
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 250 words) can be sent to the Editorial Office for assessment.

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. Electronics 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
  • fuel cells
  • smart grid
  • energy conversion
  • hydrogen vehicles

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Related Special Issue

Published Papers (2 papers)

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Research

28 pages, 1293 KB  
Article
Frequency-Domain Modeling and Multi-Agent Game-Theory-Based Low-Carbon Optimal Scheduling Strategy for Integrated Energy Systems
by Yingxian Chang, Xin Liu, Zhiqiang Wang, Yifan Lv, Ziyang Zhang and Song Zhang
Electronics 2025, 14(23), 4635; https://doi.org/10.3390/electronics14234635 - 25 Nov 2025
Viewed by 134
Abstract
Driven by the dual-carbon strategy, achieving low-carbon economic operations through coordinated optimization of multi-energy flows in integrated energy systems (IES) has emerged as a critical research focus. This paper proposes a low-carbon optimized scheduling strategy for IES based on frequency-domain modeling and multi-agent [...] Read more.
Driven by the dual-carbon strategy, achieving low-carbon economic operations through coordinated optimization of multi-energy flows in integrated energy systems (IES) has emerged as a critical research focus. This paper proposes a low-carbon optimized scheduling strategy for IES based on frequency-domain modeling and multi-agent collaborative game theory, presenting a dual-dimensional innovative methodology for electricity–heat–gas integrated energy systems. At the physical modeling level, the study overcomes the limitations of conventional steady-state models and finite difference methods by pioneering a frequency-domain analytical approach for day-ahead scheduling. Through Fourier transform, the partial differential equations (PDEs) governing thermal and gas network dynamics are converted into linear complex algebraic equations, significantly reducing solution complexity while preserving modeling accuracy and enhancing computational efficiency. In operational optimization, a multi-agent cooperative mechanism is established by partitioning system operators into a tripartite alliance comprising power-to-gas (P2G) facilities, carbon capture units, and energy storage systems. A collaborative optimization model incorporating dynamic energy transmission characteristics is developed, with innovative application of Shapley value method to quantify agent contributions and allocate collaborative surplus. Simulation results demonstrate that the proposed strategy maintains dynamic constraint accuracy in gas–thermal networks while achieving notable improvements: significant reduction in total operational costs, enhanced wind power accommodation rates, and decreased carbon emission intensity. This research provides novel insights that help to resolve the modeling accuracy–computational efficiency dilemma in multi-energy coupled systems, concurrently establishing an equitable and economically viable benefit distribution mechanism for multi-agent collaboration. The findings offer substantial theoretical significance for advancing the low-carbon transition of modern power systems. Full article
(This article belongs to the Special Issue Hydrogen and Fuel Cells: Innovations and Challenges, 2nd Edition)
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20 pages, 2647 KB  
Article
Modelling Mass Transport in Anode-Supported Solid Oxide Fuel Cells
by Vishal Kumar Patel, Fateme Gholamalian, Christos Kalyvas, Majid Ghassemi and Mahmoud Chizari
Electronics 2025, 14(17), 3486; https://doi.org/10.3390/electronics14173486 - 31 Aug 2025
Cited by 1 | Viewed by 941
Abstract
Understanding and accurately modelling mass transport phenomena in anode-supported solid oxide fuel cells (SOFCs) is essential for improving efficiency and mitigating performance losses due to concentration polarization. This study presents a one-dimensional, isothermal, multi-component diffusion framework based on the Stefan–Maxwell (SM) formulation to [...] Read more.
Understanding and accurately modelling mass transport phenomena in anode-supported solid oxide fuel cells (SOFCs) is essential for improving efficiency and mitigating performance losses due to concentration polarization. This study presents a one-dimensional, isothermal, multi-component diffusion framework based on the Stefan–Maxwell (SM) formulation to evaluate hydrogen, water vapour, and nitrogen transport in two different porous ceramic support materials: calcia-stabilized zirconia (CSZ) and magnesia magnesium aluminate (MMA). Both SM binary and SM ternary models are implemented to capture species interactions under varying hydrogen concentrations and operating temperatures. The SM formulation enables direct calculation of concentration polarization as well as the spatial distribution of gas species across the anode support’s thickness. Simulations are conducted for two representative fuel mixtures—20% H2 (steam-rich, depleted fuel) and 50% H2 (steam-lean)—across a temperature range of 500–1000 °C and varying electrode thicknesses. They are validated against experimental data from the literature, and the influence of electrode thickness and fuel composition on polarization losses is systematically assessed. The results show that the ternary SM model provides superior accuracy in predicting overpotentials, especially under low-hydrogen conditions where multi-component interactions dominate. MMA consistently exhibits lower polarization losses than CSZ due to enhanced gas diffusivity. This work offers a validated, computationally efficient framework for evaluating mass transport limitations in porous anode supports and offers insights for optimizing electrode design and operational strategies, bridging the gap between simplified analytical models and full-scale multiphysics simulations. Full article
(This article belongs to the Special Issue Hydrogen and Fuel Cells: Innovations and Challenges, 2nd Edition)
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