Jinting Chen , Yuze Xi , Zeyu Zhang , Shixuan He , Xingqing Duan , Yawei Li , Haixiang Huang , Bogu Liu , Jianguang Yuan , Bao Zhang , Hong Li , Ying Wu
{"title":"In-situ generation of multiple catalytic centers by introducing MXene and fluoride for enhancing the dehydrogenation of lithium borohydride","authors":"Jinting Chen , Yuze Xi , Zeyu Zhang , Shixuan He , Xingqing Duan , Yawei Li , Haixiang Huang , Bogu Liu , Jianguang Yuan , Bao Zhang , Hong Li , Ying Wu","doi":"10.1016/j.ijhydene.2025.151900","DOIUrl":"10.1016/j.ijhydene.2025.151900","url":null,"abstract":"<div><div>To improve the dehydrogenation performance of LiBH4, we present a new strategy by elaborately employing Ti<sub>3</sub>C<sub>2</sub> MXene and K<sub>2</sub>NbF<sub>7</sub> as precursors for in-situ generating multiple catalytic centers. The prepared LiBH4–20Ti<sub>3</sub>C<sub>2</sub>/20K<sub>2</sub>NbF<sub>7</sub> composite initiates hydrogen desorption at 78.70 °C and reaches the peak dehydrogenation rate at 344.25 °C, releasing 11.46 wt% H<sub>2</sub> upon heating to 400 °C. At a constant temperature of 325 °C, the composite releases 9.49 wt% H<sub>2</sub> within 60 min. Moreover, the DFT calculations confirm that the Li<sup>+</sup>-[BH<sub>4</sub>]<sup>-</sup> bond length is elongated from 1.92 to 2.04 and 2.03 Å due to the strong interaction between LiBH<sub>4</sub> and the generated Ti<sub>3</sub>C<sub>2</sub>(-F)-NbB<sub>2</sub> heterostructure. The enhanced dehydrogenation performance of LiBH<sub>4</sub> can be attributed to the well-preserved layered structure of the Ti<sub>3</sub>C<sub>2</sub> MXene providing plentiful hydrogen diffusion channels and the in-situ formed Li<sub>3</sub>BO<sub>3</sub>, NbB<sub>2</sub>, Ti<sup>0</sup> and KF producing a synergistic catalytic effect via providing massive active reaction sites and weakening the bond strength.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"183 ","pages":"Article 151900"},"PeriodicalIF":8.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel approach to designing and optimizing hydrogen storage with photovoltaic systems in micro-grids using the binary chaotic gooseneck barnacle algorithm","authors":"M. John Bosco , M. Mary Synthuja Jain Preetha","doi":"10.1016/j.ijhydene.2025.151846","DOIUrl":"10.1016/j.ijhydene.2025.151846","url":null,"abstract":"<div><div>Microgrids with renewable energy are becoming important to overcome the problem of energy security and decarbonisation. Nevertheless, their mass use is restricted by the interchangeability of solar photovoltaic (PV) production and the inefficiency of the traditional battery storage. This paper presents a hybrid PV-battery-hydrogen microgrid model in which electrolysers, hydrogen tanks, and fuel cells are incorporated to achieve long-term energy storage. A new Binary Chaotic Gooseneck Barnacle Optimization (GBO) algorithm is proposed to decide the optimum sizing of important elements. The Binary Chaotic GBO, in contrast to the classical approaches, like PSO, GA or DE, enhances the exploration/exploitation ratio, making it converge more rapidly and perform better. The model was written in MATLAB/Simulink and tested against experimental data using RMSE, MAPE and R<sup>2</sup> metrics. The comparison of the results reveals that the optimized system gives a hydrogen storage efficiency of 94.1 %, 14 % higher than the methods used at the baseline, and also increases the independence on the grid. The sensitivity analysis proves that it is robust with a variation in electrolyser (±10 %) and battery (±20 %). The results reveal the prospect of the binary chaotic GBO-based hydrogen microgrids to serve as scalable, safe, and economical applications of sustainable energy systems.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"183 ","pages":"Article 151846"},"PeriodicalIF":8.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nadine Thiele, Rolf Stierle, Tim Menzel, Marcelle B.M. Spera, Joachim Gross
{"title":"Unlocking hydrogen’s potential: Prediction of adsorption in metal-organic frameworks for sustainable energy storage","authors":"Nadine Thiele, Rolf Stierle, Tim Menzel, Marcelle B.M. Spera, Joachim Gross","doi":"10.1016/j.ijhydene.2025.151562","DOIUrl":"10.1016/j.ijhydene.2025.151562","url":null,"abstract":"<div><div>Accurately predicting hydrogen adsorption behavior is essential to developing efficient materials with storage capacities approaching those of liquid hydrogen and surpassing the performance of conventional compressed gas storage systems. Grand canonical Monte Carlo (GCMC) simulations accurately predict adsorption isotherms but are computationally expensive, limiting large-scale material screening. We employ GPU-accelerated three-dimensional classical density functional theory (DFT) based on the SAFT-VRQ Mie equation of state with a first-order Feynman–Hibbs correction to model hydrogen adsorption in [Zn(bdc)(ted)<sub>0.5</sub>], MOF-5, CuBTC, and ZIF-8 at 30<!--> <!-->K, 50<!--> <!-->K, 77<!--> <!-->K, and 298<!--> <!-->K. Our approach generates adsorption isotherms in seconds compared to hours for GCMC simulations, with quantum corrections proving crucial for accurate low-temperature predictions. The results show good agreement with GCMC simulations and available experiments, demonstrating classical DFT as a powerful tool for high-throughput material screening and optimizing hydrogen storage applications.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"184 ","pages":"Article 151562"},"PeriodicalIF":8.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yukun Zhao, Tingting Luan, Xiaoyun Li, Jun Huang, Ye Zhang
{"title":"Fire risk assessment of distributed photovoltaic systems for hydrogen energy production: A multidimensional cloud model approach based on particle swarm and bayesian optimization","authors":"Yukun Zhao, Tingting Luan, Xiaoyun Li, Jun Huang, Ye Zhang","doi":"10.1016/j.ijhydene.2025.151904","DOIUrl":"10.1016/j.ijhydene.2025.151904","url":null,"abstract":"<div><div>With the rise of green hydrogen production, the application of distributed photovoltaic systems in hydrogen production is becoming more and more extensive. However, its fire risk problem has gradually attracted attention. Especially in complex environments where high temperature, high pressure and flammable gas coexist, traditional risk assessment methods have certain limitations in dealing with system complexity and uncertainty. Therefore, this paper proposes an improved multi-dimensional cloud model method based on particle swarm optimization and Bayesian optimization for fire risk assessment of distributed photovoltaic systems for hydrogen production. Firstly, the bow-tie model is used to identify the fire risk source and construct a scientific and reasonable fire risk index system. Secondly, the subjective and objective weights of each index are calculated by combining G1 method and entropy weight method, and the weight adaptive fusion is carried out by particle swarm optimization algorithm to ensure the scientific and rationality of weight calculation. Then, the Bayesian optimization algorithm is used to optimize the parameters of the cloud model to improve the rationality and robustness of the model. Finally, based on the optimized multi-dimensional cloud model parameters, the fire risk is comprehensively evaluated from the two dimensions of accident consequence and accident probability. The results show that the fire risk values of the accident and accident probability of the photovoltaic-hydrogen production combined system of the enterprise are 0.5126 and 0.5630, respectively. The comprehensive fire risk level is between 'Moderate risk' and 'High risk', and the overall is closer to 'Moderate risk'. After the implementation of targeted safety measures, the risk value decreased, which verified the scientific and robustness of the method.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"184 ","pages":"Article 151904"},"PeriodicalIF":8.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Godknows Dziva , Pengjun Cui , Heng Liu , Raymond Lau , Liang Zeng , Guangchao Ding , Songgeng Li
{"title":"Comparative exergy analysis of dual bed steam gasification of biomass with and without in situ CO2 separation","authors":"Godknows Dziva , Pengjun Cui , Heng Liu , Raymond Lau , Liang Zeng , Guangchao Ding , Songgeng Li","doi":"10.1016/j.ijhydene.2025.151865","DOIUrl":"10.1016/j.ijhydene.2025.151865","url":null,"abstract":"<div><div>Sorption-enhanced gasification (SEG) of biomass is an emerging technology that modifies conventional allothermal gasification (CAG) by replacing inert bed material with CaO to separate CO<sub>2</sub> <em>in situ</em> at relatively lower temperatures, significantly enhancing the syngas hydrogen yield. This study employs detailed, side-by-side exergy analysis to assess the thermodynamic impact of these fundamental modifications on gasification subprocesses and systems. Results identified gasification subprocesses as the primary source of exergy destruction in dual bed steam gasification systems, followed by regeneration (SEG), combustion, mixing and heat exchange. While SEG reduces exergy destruction during gasification, it achieves 1.1 % lower exergy efficiency than CAG because regeneration of CaO also drives significant exergy destruction in the combustor. However, by eliminating the need for extra midstream syngas conditioning units (and their associated exergy destruction), SEG achieves syngas production exergy efficiencies that are 2.7–5.8 % higher than CAG across different downstream applications. Thus, SEG is an upgrade on CAG. Sensitivity analyses identified distinct operating conditions; CAG requires temperatures >750 °C with high solid circulation rates (>40 kg/kg), whereas SEG operates optimally at <750 °C, with lower rates (<8 kg/kg) suited for hydrogen production and moderate rates (>8 kg/kg) suited for biofuels. Moderate steam-to-biomass ratios (0.5–0.7 kg/kg) maximize hydrogen yield and efficiency for both processes, while low air equivalence ratios (1.2–1.3 mol/mol) balance efficiency and emissions. Sorbent replacement rates must be <2 % for SEG to remain efficient, highlighting the importance of sorbent cyclic stability. These insights provide a thermodynamic foundation for designing efficient dual-bed systems for hydrogen-rich syngas production.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"183 ","pages":"Article 151865"},"PeriodicalIF":8.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hye Jin Kim , Young-eun Kim , Yougha Park , Unho Jung , Ki Wan Bong , Kee Young Koo
{"title":"Enhancement of low-temperature ammonia decomposition over potassium-promoted Ru/MgAl2O4 catalyst for clean hydrogen production","authors":"Hye Jin Kim , Young-eun Kim , Yougha Park , Unho Jung , Ki Wan Bong , Kee Young Koo","doi":"10.1016/j.ijhydene.2025.151871","DOIUrl":"10.1016/j.ijhydene.2025.151871","url":null,"abstract":"<div><div>The growing demand for clean hydrogen highlights the importance of efficient hydrogen carriers, with ammonia holding promise because of its high volumetric hydrogen density. Efficient catalysts for the low-temperature ammonia decomposition are essential for realizing its potential as an H<sub>2</sub> carrier. Herein, a Ru/MgAl<sub>2</sub>O<sub>4</sub> with a low Ru loading (1.4 wt%) is developed using precalcination under hydrogen to suppress Ru particle sintering and improve Ru dispersion. Potassium was introduced as a promoter to accelerate the rate-determining N<sub>2</sub> desorption step by increasing the electron density. The optimal catalyst achieves an NH<sub>3</sub> conversion of 90 % at 450 °C and a 30,000 mL/(g<sub>cat</sub> h). CO DRIFT, XPS, and NH<sub>3</sub> TPSR are used to determine the optimal K content (7 wt%) and establish a correlation between the Ru electron density and activity. This study facilitates the design and development of cost-effective high-performance ammonia decomposition catalysts with a wide operating temperature window for clean hydrogen production.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"183 ","pages":"Article 151871"},"PeriodicalIF":8.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mingyang Liu , Zongyu Yue , Hu Wang , Haifeng Liu , Zunqing Zheng , Mingfa Yao
{"title":"Study on the mixing characteristics of coaxial swirl static mixer for hydrogen blending in natural gas pipeline","authors":"Mingyang Liu , Zongyu Yue , Hu Wang , Haifeng Liu , Zunqing Zheng , Mingfa Yao","doi":"10.1016/j.ijhydene.2025.151817","DOIUrl":"10.1016/j.ijhydene.2025.151817","url":null,"abstract":"<div><div>In this paper, a new type of static mixer structure is proposed for hydrogen and natural gas mixture pipeline, which has the characteristics of coaxial flow shear and swirl mixing with improved mixing of hydrogen and natural gas. The computational fluid dynamics model using large eddy simulation of the mixing process was established by comparing the simulation results with different sub-grid scale models against the experimental data. The mixing characteristics of the static mixer were analyzed in depth, and the effects of key parameters such as cavity number, torsion angle, swirl direction and swirl tube length on mixing performance were studied. The results show that the mixing intensity of the coaxial swirl static mixer increases first and then decreases with the increase of the number of cavities. The torsion angle mainly affects the uniformity of mixing, and the rotation direction of the swirl tube and the arrangement of the cavity have the greatest influence on the mixing effect. The mixing intensity is the highest when the double-layer cavity is arranged in opposite rotation direction, while the length of swirl tube has little effect. These results help to understand the mixing process of static mixer, and provide an important theoretical reference for the structural optimization design of static mixers.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"184 ","pages":"Article 151817"},"PeriodicalIF":8.3,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kazuki Akamatsu, Junya Suzuki, Shin-ichi Nakao, Xiao-lin Wang
{"title":"Trimethylmethoxysilane-derived silica membranes with high hydrogen permeance and high hydrogen/nitrogen selectivity prepared by chemical vapor deposition","authors":"Kazuki Akamatsu, Junya Suzuki, Shin-ichi Nakao, Xiao-lin Wang","doi":"10.1016/j.ijhydene.2025.151876","DOIUrl":"10.1016/j.ijhydene.2025.151876","url":null,"abstract":"<div><div>We have developed novel hydrogen-selective silica membranes by counter-diffusion chemical vapor deposition (CVD) of trimethylmethoxysilane (TMMOS), as a silica precursor, with oxygen. Through systematically varying the CVD conditions, especially the concentration of the TMMOS vapor, the duration of the CVD reaction, and the flow rate of N<sub>2</sub> for supplying the TMMOS vapor, we determined that the optimal preparation conditions are 0.81–0.94 mol m<sup>−3</sup>, 60 min, and 200 mL min<sup>−1</sup>, respectively. The permeances of H<sub>2</sub> and N<sub>2</sub> at 773 K were 2.9 × 10<sup>−7</sup> and 1.7 × 10<sup>−10</sup> mol m<sup>−2</sup> s<sup>−1</sup> Pa<sup>−1</sup>, respectively. The average pore size of the TMMOS-derived silica membrane was estimated to be 0.37 nm by the normalized Knudsen-based permeance method. The hydrothermal stability of the TMMOS-derived membrane after exposure to a gas mixture of steam and H<sub>2</sub> at a molar ratio of 3:1 under pressure of 0.3 MPa on the feed side at 773 K indicated that the H<sub>2</sub> permeance was higher than that of the dimethoxydimethylsilane-derived silica membrane, and the N<sub>2</sub> permeance was almost stable. Furthermore, the pressure on the feed side greatly affected the membrane performance under hydrothermal conditions. The membrane performance became poorer when it was exposed to the same gas mixture under pressure of 1.0 MPa on the feed side at 773 K.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"183 ","pages":"Article 151876"},"PeriodicalIF":8.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miaoxin Gong , Marcus Lundgren , Jan Eismark , Mats Andersson
{"title":"An experimental study of jet-wall and jet-jet interactions of directly injected hydrogen and methane in a wave-piston geometry","authors":"Miaoxin Gong , Marcus Lundgren , Jan Eismark , Mats Andersson","doi":"10.1016/j.ijhydene.2025.151744","DOIUrl":"10.1016/j.ijhydene.2025.151744","url":null,"abstract":"<div><div>This study investigates the interactive dynamics of directly injected (DI) hydrogen and methane jets with wall and neighboring jets in a non-reactive environment, focusing on the influence of wave-shaped piston geometry. Experiments were conducted in a high-pressure optical chamber using a custom 2-hole DI injector, with Schlieren imaging employed to capture the temporal evolution of jet structures for varying injection durations and injection pressure ratios. Comparative analyses between conventional flat and wave-shaped wall geometries reveals that the wave geometry significantly alters post-impingement jet behavior, particularly enhancing jet guidance toward the center and promoting early detachment from the wall. For both hydrogen and methane, jets impinging on the wave wall exhibited accelerated formation of a central flow structure akin to the radial mixing zone (RMZ) observed in reactive diesel combustion. This effect was most pronounced after end of injection, where the trailing edge of the impinged jets in the wave geometry detached earlier and exhibited inward momentum, forming U-shaped flow patterns indicative of efficient mixing. Quantitative jet area analysis further showed that the wave geometry confined and redirected the jets more effectively than the flat wall, especially for hydrogen at shorter injection durations. These results demonstrate that the wave-piston concept, originally developed for soot reduction in diesel engines, also enhances jet-jet and jet-wall interaction efficiency in gaseous DI systems by promoting structured recirculation. Moreover, these results suggest that wave-based piston geometries can substantially influence fuel-air mixing dynamics even in the absence of combustion, providing a foundation for optimizing combustion chamber designs for low-carbon and high-diffusive gaseous fuels.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"183 ","pages":"Article 151744"},"PeriodicalIF":8.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Claudio Galli, Francesco Superchi, Sandro Raspanti, Francesco Balduzzi, Luca Romani, Alessandro Bianchini, Giovanni Ferrara
{"title":"An experimentally validated curve-fit model of a hydrogen-fueled internal combustion engine for use in techno-economic analyses","authors":"Claudio Galli, Francesco Superchi, Sandro Raspanti, Francesco Balduzzi, Luca Romani, Alessandro Bianchini, Giovanni Ferrara","doi":"10.1016/j.ijhydene.2025.151796","DOIUrl":"10.1016/j.ijhydene.2025.151796","url":null,"abstract":"<div><div>The growing share of renewables in power grids increases the need for backup generators able to compensate production profiles whenever needed. Hydrogen internal combustion engines (H<sub>2</sub> ICEs) offer a promising solution in terms of flexibility, reduced capital cost, and looser requirements on hydrogen purity. These systems are, however, still not well characterized. This study introduces a zero-dimensional (0D) model for a 100 % hydrogen engine, calibrated using experimental data under varying loads and air-fuel ratios. Unlike existing models, it proposes validated electrical efficiency data across multiple operating points. Efficiency curves are provided in quadratic and linear forms, allowing integration into diverse energy system simulations, including linear programming. The model performance is evaluated in a peak-shaving case study using real data from a remote site with limited grid supply. Three engine-generators are used to match single-minute resolution load demand. Compared to typical models that lack validation and ignore part-load efficiency losses, the proposed model highlights differences in hydrogen consumption estimation up to 13.4 %, thus offering improved accuracy for techno-economic analyses of hydrogen-based systems.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"183 ","pages":"Article 151796"},"PeriodicalIF":8.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145264689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}