Sustainable Hydrogen Technologies and Their Value Chains

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 1132

Special Issue Editor


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Guest Editor
Department of Chemical & Environmental Engineering, Yale University, New Haven, CT 06520, USA
Interests: chemical and environmental engineering; nuclear safety; energy storage technologies; hydrogen safety; risk assessment

Special Issue Information

Dear Colleagues,

Hydrogen gas is a promising energy carrier and an enabler in achieving the net zero decarbonization goals established in many countries around the world. This Special Issue of Processes focuses on various aspects the hydrogen value chain, including hydrogen production technologies, transport, storage, distribution, refueling infrastructures, and end use (both industrial and domestic). The suggested topics for this Special Issue include, but are not limited to, the following:

(1) Environmental life cycle assessment (e-LCA) of hydrogen value chains.

(2) Assessment methods of social life cycle assessment (s-LCA) of hydrogen value chains.

(3) Green hydrogen production from renewable sources (solar PV and wind turbines) integrated with water electrolysis technologies.

(4) Valorization of waste biomass to greener and sustainable hydrogen production in support of circular economy.

(5) Manufacturing of water electrolyzers for hydrogen production.

(6) Hydrogen carrier chemicals such as conventional and green ammonia gas.

(7) Hydrogen storage materials.

(8) Use of hydrogen in road transport (light-weight fuel cell-powered electric vehicles, trucks, and trailers) and electrified aircraft (hybrid-electric and all-electric).

(9) Hydrogen safety codes and standards.

(10) Critical reviews of research related to the hydrogen value chain.

(11) Hydrogen production integrated with carbon capture, utilization, and storage (CCUS). 

Prof. Dr. Yehia F. Khalil
Guest Editor

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Keywords

  • hydrogen
  • life cycle assessment
  • solar PV
  • wind turbine
  • water electrolysis
  • waste biomass
  • hydrogen storage materials
  • CCUS

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Published Papers (2 papers)

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Research

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14 pages, 3007 KiB  
Article
Deep Learning-Based Performance Modeling of Hydrogen Fuel Cells Using Artificial Neural Networks: A Comparative Study of Optimizers
by Hafsa Abbade, Hassan El Fadil, Abdellah Lassioui, Abdessamad Intidam, Ahmed Hamed, Yassine El Asri, Abdelouahad Fhail and Anwar Hasni
Processes 2025, 13(5), 1453; https://doi.org/10.3390/pr13051453 - 9 May 2025
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Abstract
Today, hydrogen fuel cells occupy a crucial position in sustainable energy systems. However, a precise model of their performance is needed to improve their efficiency and integrate them into hydrogen electric vehicles. This paper presents a hydrogen fuel cell model based on artificial [...] Read more.
Today, hydrogen fuel cells occupy a crucial position in sustainable energy systems. However, a precise model of their performance is needed to improve their efficiency and integrate them into hydrogen electric vehicles. This paper presents a hydrogen fuel cell model based on artificial neural networks (ANNs) to predict its performance characteristics. Using experimental data from a PEMFC NEXA 1200 hydrogen fuel cell in the ISA laboratory, an ANN model optimized by deep learning was developed, integrating advanced training techniques. The model’s performance was evaluated on independent test sets, revealing predictive precision with a low mean squared error (MSE) of 0.0429, a low Mean Absolute Percentage Error (MAPE) of 1.05%, a low Root-Mean-Square Error (RMSE) of 0.2071, and a high coefficient of determination (R2) of 0.9071. The model’s development and evaluation will be reviewed here in order to visualize the training progress and the results of the simulation. The main advantages of the proposed ANN model lie in both its flexible architecture, which can capture complex relationships without the need for explicit physical models, and its predictive and optimization capability. Full article
(This article belongs to the Special Issue Sustainable Hydrogen Technologies and Their Value Chains)
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Review

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44 pages, 2201 KiB  
Review
Comparative Study of Hydrogen Storage and Metal Hydride Systems: Future Energy Storage Solutions
by Nesrin İlgin Beyazit
Processes 2025, 13(5), 1506; https://doi.org/10.3390/pr13051506 - 14 May 2025
Viewed by 578
Abstract
Hydrogen is a key energy carrier, playing a vital role in sustainable energy systems. This review provides a comparative analysis of physical, chemical, and innovative hydrogen storage methods from technical, environmental, and economic perspectives. It has been identified that compressed and liquefied hydrogen [...] Read more.
Hydrogen is a key energy carrier, playing a vital role in sustainable energy systems. This review provides a comparative analysis of physical, chemical, and innovative hydrogen storage methods from technical, environmental, and economic perspectives. It has been identified that compressed and liquefied hydrogen are predominantly utilized in transportation applications, while chemical transport is mainly supported by liquid organic hydrogen carriers (LOHC) and ammonia-based systems. Although metal hydrides and nanomaterials offer high hydrogen storage capacities, they face limitations related to cost and thermal management. Furthermore, artificial intelligence (AI)- and machine learning (ML)-based optimization techniques are highlighted for their potential to enhance energy efficiency and improve system performance. In conclusion, for hydrogen storage systems to achieve broader applicability, it is recommended that integrated approaches be adopted—focusing on innovative material development, economic feasibility, and environmental sustainability. Full article
(This article belongs to the Special Issue Sustainable Hydrogen Technologies and Their Value Chains)
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