Preparation, Storage, and Transportation of Green Hydrogen and Multi-Scenario Application Technologies

Topic Information

Dear Colleagues,

Green hydrogen is produced using renewable energy for power generation, such as hydropower, wind power, solar power, biomass power, marine power, and geothermal power. Hydrogen production by electrolysis of water is a real way to achieve zero carbon hydrogen production, and it is gradually becoming one of the important carriers of global energy transformation and development and the core force to achieve net zero emissions and control global warming.

The 2021 Global Hydrogen Energy Assessment Report released by the International Energy Agency (IEA) points out that hydrogen will play a key role in the global energy transition. By 2030, the global hydrogen demand for terminal applications of hydrogen energy will reach about 90 million tons. According to the International Hydrogen Energy Commission, hydrogen energy is expected to account for 18% of the global energy consumption structure by 2050, which will reduce carbon dioxide emissions by 6 billion tons. However, almost all hydrogen energy produced worldwide is “gray hydrogen”, that is, hydrogen energy is produced from fossil fuels such as natural gas. The development of green hydrogen technology will become a powerful driving force for the construction of new power systems and clean, low-carbon, safe, and efficient modern energy systems.

To show the research progress and development trend in this field and share the latest academic and technical achievements, we have established the Topic of “Preparation, Storage, and Transportation of Green Hydrogen and Multi-Scenario Application Technology”. We hope to discuss the latest progress and future direction with all the scholars from across the world and promote in-depth research and technological progress in green hydrogen production, storage, transportation, and application.

Prof. Dr. Weihua Cai
Prof. Dr. Chao Xu
Prof. Dr. Zhonghao Rao
Prof. Dr. Fuqiang Wang
Prof. Dr. Ming Gao
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Batteries batteries	4.6	4.0	2015	22 Days	CHF 2700
Catalysts catalysts	3.8	6.8	2011	12.9 Days	CHF 2200
Energies energies	3.0	6.2	2008	17.5 Days	CHF 2600
Hydrogen hydrogen	-	3.6	2020	15.4 Days	CHF 1000
Sustainability sustainability	3.3	6.8	2009	20 Days	CHF 2400

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Published Papers (4 papers)

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All Batteries Catalysts Energies Hydrogen Sustainability

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19 pages, 4688 KiB  

Open AccessArticle

A Coordinated Control Strategy for Efficiency Improvement of Multistack Fuel Cell Systems in Electric–Hydrogen Hybrid Energy Storage System

by Jianlin Li, Ce Liang and Zelin Shi

Batteries 2024, 10(9), 331; https://doi.org/10.3390/batteries10090331 - 19 Sep 2024

Viewed by 1114

Abstract

A two-layer coordinated control strategy is proposed to solve the power allocation problem faced by electric–hydrogen hybrid energy storage systems (HESSs) when compensating for the fluctuating power of the DC microgrid. The upper-layer control strategy is the system-level control. Considering the energy storage [...] Read more.

A two-layer coordinated control strategy is proposed to solve the power allocation problem faced by electric–hydrogen hybrid energy storage systems (HESSs) when compensating for the fluctuating power of the DC microgrid. The upper-layer control strategy is the system-level control. Considering the energy storage margin of each energy storage system, fuzzy logic control (FLC) is used to make the initial power allocation between the battery energy storage system (BESS) and the multistack fuel cell system (MFCS). The lower-layer control strategy is the device-level control. Considering the individual differences and energy-storage margin differences of the single-stack fuel cell (FC) in an MFCS, FLC is used to make the initial power allocation of the FC. To improve the hydrogen-to-electricity conversion efficiency of the MFCS, a strategy for optimization by perturbation (OP) is used to adjust the power allocation of the FC. The output difference of the MFCS before and after the adjustment is compensated for by the BESS. The simulation and experiment results show that the mentioned coordinated control strategy can enable the HESS to achieve adaptive power allocation based on the energy storage margin and obtain an improvement in the hydrogen-to-electricity conversion efficiency of the MFCS. Full article

(This article belongs to the Topic Preparation, Storage, and Transportation of Green Hydrogen and Multi-Scenario Application Technologies)

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24 pages, 4037 KiB  

Open AccessArticle

Deep Learning for Predicting Hydrogen Solubility in n-Alkanes: Enhancing Sustainable Energy Systems

by Afshin Tatar, Amin Shokrollahi, Abbas Zeinijahromi and Manouchehr Haghighi

Sustainability 2024, 16(17), 7512; https://doi.org/10.3390/su16177512 - 30 Aug 2024

Viewed by 805

Abstract

As global population growth and urbanisation intensify energy demands, the quest for sustainable energy sources gains paramount importance. Hydrogen (H₂) emerges as a versatile energy carrier, contributing to diverse processes in energy systems, industrial applications, and scientific research. To harness the [...] Read more.

As global population growth and urbanisation intensify energy demands, the quest for sustainable energy sources gains paramount importance. Hydrogen (H₂) emerges as a versatile energy carrier, contributing to diverse processes in energy systems, industrial applications, and scientific research. To harness the H₂ potential effectively, a profound grasp of its thermodynamic properties across varied conditions is essential. While field and laboratory measurements offer accuracy, they are resource-intensive. Experimentation involving high-pressure and high-temperature conditions poses risks, rendering precise H₂ solubility determination crucial. This study evaluates the application of Deep Neural Networks (DNNs) for predicting H₂ solubility in n-alkanes. Three DNNs are developed, focusing on model structure and overfitting mitigation. The investigation utilises a comprehensive dataset, employing distinct model structures. Our study successfully demonstrates that the incorporation of dropout layers and batch normalisation within DNNs significantly mitigates overfitting, resulting in robust and accurate predictions of H₂ solubility in n-alkanes. The DNN models developed not only perform comparably to traditional ensemble methods but also offer greater stability across varying training conditions. These advancements are crucial for the safe and efficient design of H₂-based systems, contributing directly to cleaner energy technologies. Understanding H₂ solubility in hydrocarbons can enhance the efficiency of H₂ storage and transportation, facilitating its integration into existing energy systems. This advancement supports the development of cleaner fuels and improves the overall sustainability of energy production, ultimately contributing to a reduction in reliance on fossil fuels and minimising the environmental impact of energy generation. Full article

(This article belongs to the Topic Preparation, Storage, and Transportation of Green Hydrogen and Multi-Scenario Application Technologies)

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22 pages, 3004 KiB  

Open AccessReview

Assessment of Hydrogen Energy Industry Chain Based on Hydrogen Production Methods, Storage, and Utilization

by Zenon Ziobrowski and Adam Rotkegel

Energies 2024, 17(8), 1808; https://doi.org/10.3390/en17081808 - 10 Apr 2024

Cited by 3 | Viewed by 1911

Abstract

To reach climate neutrality by 2050, a goal that the European Union set itself, it is necessary to change and modify the whole EU’s energy system through deep decarbonization and reduction of greenhouse-gas emissions. The study presents a current insight into the global [...] Read more.

To reach climate neutrality by 2050, a goal that the European Union set itself, it is necessary to change and modify the whole EU’s energy system through deep decarbonization and reduction of greenhouse-gas emissions. The study presents a current insight into the global energy-transition pathway based on the hydrogen energy industry chain. The paper provides a critical analysis of the role of clean hydrogen based on renewable energy sources (green hydrogen) and fossil-fuels-based hydrogen (blue hydrogen) in the development of a new hydrogen-based economy and the reduction of greenhouse-gas emissions. The actual status, costs, future directions, and recommendations for low-carbon hydrogen development and commercial deployment are addressed. Additionally, the integration of hydrogen production with CCUS technologies is presented. Full article

(This article belongs to the Topic Preparation, Storage, and Transportation of Green Hydrogen and Multi-Scenario Application Technologies)

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13 pages, 3709 KiB  

Open AccessArticle

Jet Flame Risk Analysis for Safe Response to Hydrogen Vehicle Accidents

by Byoungjik Park, Yangkyun Kim, Jin Ouk Park and Ohk Kun Lim

Sustainability 2023, 15(13), 9884; https://doi.org/10.3390/su15139884 - 21 Jun 2023

Cited by 5 | Viewed by 1640

Abstract

With an increase in the use of eco-friendly vehicles such as hybrid, electric, and hydrogen vehicles in response to the global climate crisis, accidents related to these vehicles have also increased. Numerical analysis was performed to optimize the safety of first responders responding [...] Read more.

With an increase in the use of eco-friendly vehicles such as hybrid, electric, and hydrogen vehicles in response to the global climate crisis, accidents related to these vehicles have also increased. Numerical analysis was performed to optimize the safety of first responders responding to hydrogen vehicle accidents wherein hydrogen jet flames occur. The influence range of the jet flame generated through a 1.8-mm-diameter nozzle was analyzed based on five discharge angles (90, 75, 60, 45, and 30°) between the road surface and the downward vertical. As the discharge angle decreases toward the road surface, the risk area that could cause damage moves from the center of the vehicle to the rear; at a discharge angle of 90°, the range above 9.5 kW/m² was 1.59 m and 4.09 m to the front and rear of the vehicle, respectively. However, at a discharge angle of 30°, it was not generated at the front but was 10.39 m to the rear. In response to a hydrogen vehicle accident, first responders should perform rescue activities approaching from a diagonal direction to the vehicle front to minimize injury risk. This study can be used in future hydrogen vehicle design to develop the response strategy of the first responders. Full article

(This article belongs to the Topic Preparation, Storage, and Transportation of Green Hydrogen and Multi-Scenario Application Technologies)

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