{"title":"Energy-exergy and exergoeconomic analysis of a hydrogen-enriched spark-ignition engine fueled with premium gasoline-ethanol blends","authors":"Sujit Kumbhar , Sanjay Khot , Udaysinh Bhapkar , Vishal Patil , Paramvir Singh , Avesahemad Husainy","doi":"10.1016/j.ijhydene.2025.04.519","DOIUrl":"10.1016/j.ijhydene.2025.04.519","url":null,"abstract":"<div><div>Hydrogen is a promising alternative fuel for internal combustion engines due to its renewable nature, low emissions, and superior combustion performance. In the current research, the effects of hydrogen enrichment were studied on the thermodynamic analysis of spark ignition engines using premium gasoline-ethanol blends. The blends were prepared with a partial addition of ethanol (10 % and 20 % by volume) in premium gasoline and hydrogen was injected during combustion for 2, 3, 4, and 5 μs. The testing was done on the varying engine speeds at 1500, 2000, 2500, 3000, and 3500 rpm. Energy and exergy analyses, entropy generation, and sustainability index were assessed for different fuel blends and contrasted with premium gasoline. The brake thermal efficiency and exergy efficiency were found maximum at 2500 rpm engine speed for all tested fuel blends. The BTE of E10H5 fuel blend is 18 % higher than premium gasoline and the exhaust gas energy of the E10H5 fuel blend is 12 % higher than premium gasoline at 2500 rpm. Among all tested fuel blends, the E10H5 fuel blend showed prominent results. The present experimental investigation focuses on energy-exergy analyses of premium gasoline-ethanol blends with enriched hydrogen at different injection times to assess the potential fuel blends. These blends will help to reduce dependency on conventional fossil fuels by enriching hydrogen without modification of the engine.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"137 ","pages":"Pages 689-709"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070745","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":"The effects of magnetic fields on the electrochemical and molecular dynamics during water electrolysis","authors":"N.A. Burton, J.C. Grant","doi":"10.1016/j.ijhydene.2025.05.101","DOIUrl":"10.1016/j.ijhydene.2025.05.101","url":null,"abstract":"<div><div>Due to hydrogen’s functional versatility within a diverse range of energy and industrial applications, renewable hydrogen presents an excellent opportunity to enhance the sustainability of anthropogenic activities. This research demonstrates the capacity magnetic fields have to increase the efficiency of hydrogen production and exhibits the influences magnetic fields have on water’s molecular dynamics. The results indicate that a magnetic field can increase electrolysis efficiency by up to 7.6 % when applied with a bar magnet and up to 21 % when applied with a Helmholtz coil, and can also facilitate higher hydrogen production rates with higher power inputs without compromising the efficiency. The results also indicate that enhanced electrolyser function is due to the magnetic field increasing water’s molecular energy. This study highlights the potential that the application of magnetic fields has to increase electrolyser efficiency while forming a foundation for future research into optimising water’s molecular dynamics to enhance electrolysis efficiency.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"137 ","pages":"Pages 710-724"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144072226","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}
Marco Antonio Di Francia, Maria Portarapillo, Virginia Venezia, Giuseppina Luciani, Almerinda Di Benedetto
{"title":"Electrospun catalysts for PEMFC and PEMWE: A path to sustainable and efficient energy conversion","authors":"Marco Antonio Di Francia, Maria Portarapillo, Virginia Venezia, Giuseppina Luciani, Almerinda Di Benedetto","doi":"10.1016/j.ijhydene.2025.05.196","DOIUrl":"10.1016/j.ijhydene.2025.05.196","url":null,"abstract":"<div><div>The increasing global demand for energy highlights the need to diversify energy sources and enhancing sustainability. Water electrolysis (WE) and fuel cell (FC) technologies hold significant potential but are constrained by performance and cost challenges. State-of-the-art electrocatalysts often rely on critical materials, posing economic and supply limitations. Nanomaterials have emerged as key enablers for efficient electrocatalysts, offering high specific surface area and electrical conductivity, which improve mass transport and reduce critical material dependency. This review explores recent advancements in alternative electrocatalysts for proton exchange membrane (PEM) WE and FC, with a focus on electrospinning as fabrication method. Moreover, it discusses the integration of multiple production techniques, the synergy of metal alloys, activation treatments, and in situ doping strategies. Finally, an economic and feasibility analysis of the materials involved is provided, aiming to guide future developments toward cost-effective and sustainable hydrogen technologies.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"138 ","pages":"Pages 352-367"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071155","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}
Yuanbo Sun , Bin Zhao , Ji Han , Benzheng Li , Che Zhang , Peng Gao
{"title":"Exploration of Li-decorated g-C2O monolayer for enhancing hydrogen storage via first-principles calculations","authors":"Yuanbo Sun , Bin Zhao , Ji Han , Benzheng Li , Che Zhang , Peng Gao","doi":"10.1016/j.ijhydene.2025.05.161","DOIUrl":"10.1016/j.ijhydene.2025.05.161","url":null,"abstract":"<div><div>The g-C<sub>2</sub>O monolayer, notable for its electron-rich oxygen atoms and pronounced van der Waals (vdW) forces, presents itself as a viable candidate for hydrogen storage. Through first-principles based calculations, we explore a novel composite, Li@g-C<sub>2</sub>O, tailored for physical hydrogen adsorption. Lithium (Li) atoms are stably anchored onto the g-C<sub>2</sub>O surface with a binding energy of −1.747 eV, ensuring thermal stability at 300 K. The system can accommodate up to eight H<sub>2</sub> molecules per unit cell, resulting in a total hydrogen storage capacity that exceeds the DOE target (2025). The desorption process occurs within a temperature range of 253 K–384 K, corresponding to average adsorption energy ranging from −0.152 eV/H<sub>2</sub> to −0.101 eV/H<sub>2</sub>, highlighting its favorable kinetic properties for hydrogen release. The hydrogen adsorption mechanism leverages both vdW interactions and electrostatic effects, with the oxygen atoms acting as active sites. These results offer critical theoretical insights into designing high-performance hydrogen storage materials for energy applications, including sustainable transportation.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"138 ","pages":"Pages 344-351"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071151","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}
Mohammad Rasool Dehghani , Moein Kafi , Mehdi Maleki , Maryam Aghel , Yousef Kazemzadeh , Ali Ranjbar
{"title":"A data-driven study on viscosity estimation of hydrogen-containing gas mixtures using machine learning","authors":"Mohammad Rasool Dehghani , Moein Kafi , Mehdi Maleki , Maryam Aghel , Yousef Kazemzadeh , Ali Ranjbar","doi":"10.1016/j.ijhydene.2025.05.156","DOIUrl":"10.1016/j.ijhydene.2025.05.156","url":null,"abstract":"<div><div>Hydrogen has increasingly gained attention as an energy carrier due to its clean nature and high efficiency. One crucial factor in its production, storage, and transportation is viscosity. However, none of the previous studies have explored the use of machine learning models to estimate the viscosity of hydrogen-based mixtures using laboratory data. To address this gap, we compiled a dataset of 1624 viscosity measurements for hydrogen-based gas mixtures from past experimental studies. Six machine learning techniques were employed for modeling: k-nearest neighbors (KNN), support vector regression (SVR), regression tree, categorical boosting (CatBoost), extra trees, and extreme gradient boosting (XGBoost). The dataset was split into 70 % for training and 30 % for testing, with a 5-fold cross-validation approach applied to validate the models during training. To assess model performance, we used cross plots, residual error plots, error metrics, and absolute error frequency plots. Among all methods, the extra trees model demonstrated the highest accuracy, achieving an R<sup>2</sup> value of 0.9983. It was followed closely by XGBoost (0.9976), CatBoost (0.9974), KNN (0.9923), regression tree (0.9917), and SVR (0.9735). Sensitivity analysis revealed that temperature had the most significant impact on viscosity, whereas methane mole fraction had the least. Additionally, at low pressures, the mole fractions of carbon dioxide and methane exhibited an inverse relationship with viscosity, while the hydrogen mole fraction showed a direct correlation. To define the applicability range of the extra trees model, a William's plot was used, indicating that 1562 data points (96 % of the dataset) were valid. Given the direct impact of viscosity on flow behavior and system efficiency, these findings can be instrumental in optimizing hydrogen production, transportation, and storage processes.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"138 ","pages":"Pages 331-343"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071152","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}
Yaofeng Shi , Fengqin Tang , Lulu Liang , Jikui Zhu , Jianhui Jiang , Fuxi Bao , Chunhui Shi , Feng Yu , Libing Hu
{"title":"Constructing built-in electric field in heterogeneous interface of V2O5/MnFePBA for efficient oxygen evolution reaction and urea oxidation reaction","authors":"Yaofeng Shi , Fengqin Tang , Lulu Liang , Jikui Zhu , Jianhui Jiang , Fuxi Bao , Chunhui Shi , Feng Yu , Libing Hu","doi":"10.1016/j.ijhydene.2025.05.185","DOIUrl":"10.1016/j.ijhydene.2025.05.185","url":null,"abstract":"<div><div>Developing heterojunction electrocatalysts with built-in electric field (BIEF) as bifunctional electrocatalysts for oxygen evolution reaction (OER) and urea oxidation reaction (UOR) to achieve clean hydrogen production and urea-containing wastewater degradation remains a significant challenge. Herein, we have ingeniously coated V<sub>2</sub>O<sub>5</sub> on the surface of MnFe Prussian blue analogue (MnFePBA) nanospheres forming a heterojunction (V<sub>2</sub>O<sub>5</sub>/MnFePBA) via a simple hydrothermal method, and meanwhile BIEF formed within a heterojunction, which was characterized by series of characterizations. Benefiting from the BIEF influence, the V<sub>2</sub>O<sub>5</sub>/MnFePBA electrocatalyst required merely 260 mV of overpotential to realized a high current density (100 mA cm<sup>−2</sup>) in an electrolyte of 1.0 M KOH. What's more important, at the same high current density, V<sub>2</sub>O<sub>5</sub>/MnFePBA also delivered a potential of 1.36 V vs. RHE in a mixed electrolyte composed by 1.0 M KOH and 0.5 M urea. DFT calculations further demonstrated that BIEF could effectively adjust the electronic structure, induce the movement of the d-band center, and optimize intermediate adsorption, thereby decreasing the energy barrier favorable for the rate-determining step, which could accelerated the OER/UOR kinetics rates, thus V<sub>2</sub>O<sub>5</sub>/MnFePBA as a bifunctional electrocatalyst realized an efficient catalysis for OER and UOR. This work offers a promising approach to construct heterojunction with BIEF for enhancing both OER and UOR performance to produce green hydrogen and address urea-containing wastewater.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"138 ","pages":"Pages 320-330"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071154","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":"DFT assessment of KBeO3-xHx perovskites: Revealing ion substitution mechanisms for enhanced solid hydrogen storage","authors":"M. Zaman , Sana Zafar , I. Zeba , S.S.A. Gillani","doi":"10.1016/j.ijhydene.2025.05.126","DOIUrl":"10.1016/j.ijhydene.2025.05.126","url":null,"abstract":"<div><div>The exhaustion of non-renewable fossil resources has intensified the demand for sustainable energy generation and storage. The environmentally beneficial substitute hydrogen has storage and transportation issues. KBeO<sub>3-x</sub>H<sub>x</sub> and other perovskites are now attractive options for solid hydrogen storage. The physical characteristics of KBeO<sub>3-x</sub>H<sub>x</sub> for storing hydrogen are investigated in this study using GGA-PBE functional, which is carried in the CASTEP software in conjunction with Density Functional Theory (DFT), at various hydrogen concentrations (x = 0, 0.6, 1.2, 1.8, 2.4, 3). According to the study, adding hydrogen to the pure material changes its lattice characteristics and cubic structure. Phonon dispersion curve confirms the dynamical stability of our fully H-doped KBeO<sub>3-x</sub>H<sub>x</sub> material. Every material that contains hydrogen satisfies Born's mechanical stability requirements in terms of both structural and thermodynamic stability. Pugh's and Poisson's ratios reveal brittle behaviour of the studied materials. Cauchy's pressure shows that the materials' brittleness or ductility changes with hydrogen concentration. As demonstrated by band structure and density of states investigations, the addition of hydrogen dramatically changes electronic states, lowering the band gap from 7.598 eV to 0 eV. This electronic alteration affects refractive index, absorbance, and dielectric function, among other optical characteristics. The material's potential for both effective hydrogen storage and optoelectronic applications is further evidenced by the gravimetric hydrogen storage capacity (Cwt%), which varies from 0.67 % to 5.86 %. Our findings indicate that KBeH<sub>3</sub> is a superior material for storing hydrogen.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"138 ","pages":"Pages 307-319"},"PeriodicalIF":8.1,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071150","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}
Wanlong Fan, Zhiwei Peng, Kangle Gao, Ran Tian, Guanwen Luo, Lingyun Yi, Mingjun Rao, Guanghui Li
{"title":"A carbon-free and energy-efficient pathway to direct reduced iron production: Hydrogen cooling reduction of iron ore pellets","authors":"Wanlong Fan, Zhiwei Peng, Kangle Gao, Ran Tian, Guanwen Luo, Lingyun Yi, Mingjun Rao, Guanghui Li","doi":"10.1016/j.ijhydene.2025.04.455","DOIUrl":"10.1016/j.ijhydene.2025.04.455","url":null,"abstract":"<div><div>This study proposed a novel technology named hydrogen cooling reduction (HCR) for preparing direct reduced iron (DRI), i.e., metallized pellets, by hydrogen reduction of hot iron ore pellets during their cooling process, featured by simultaneous increase in H<sub>2</sub> concentration from 12.5% to 100% and decrease in temperature from 1150 °C to 450 °C. It was shown that the reduction degree (RD), iron metallization degree (MD), total iron content (TFe), and reduction swelling index (RSI) of the resulting metallized pellets increased with initial H<sub>2</sub> concentration, with the fractional concentration increase of 12.5% to 100% during the cooling process. Meanwhile, the compressive strength (CS) increased initially and then decreased. From the perspective of phase transformation, the content of Fe increased while those of Fe<sub>2</sub>SiO<sub>4</sub>, FeO, and SiO<sub>2</sub> decreased. The transmission electron microscopy (TEM) results revealed that Fe and Fe<sub>2</sub>SiO<sub>4</sub> in the metallized pellets were connected by amorphous SiO<sub>2</sub>, and they existed in a single-crystal form which was beneficial for improving the pellet strength. Higher initial H<sub>2</sub> concentrations promoted metallic iron particle growth and increased porosity and pore size. Furthermore, there was a linear relationship between the average pore size and RSI, given by the equation y = 1.7498x – 3.0732, where y and x denote RSI and average pore size, respectively. When the initial H<sub>2</sub> concentration was 75% with the fractional concentration increase of 12.5% to 100% in stages during cooling, the pellets had the optimal reduction performance, namely RD of 88.90%, MD of 81.05%, TFe of 80.63 wt%, RSI of 4.51%, and CS of 1975 N/p. The findings verified the viability of energy-efficient preparation of metallized pellets by HCR.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"138 ","pages":"Pages 248-259"},"PeriodicalIF":8.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068878","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":"FeOOH@CoP/NF heterointerface catalyst for electrocatalytic water dissociation in alkaline medium","authors":"Jeygeerthika Reddy , K.K. Viswanathan , Prabakar Kandasamy","doi":"10.1016/j.ijhydene.2025.05.086","DOIUrl":"10.1016/j.ijhydene.2025.05.086","url":null,"abstract":"<div><div>The synthesis of a stable and extremely active catalyst for hydrogen (HER) and oxygen evolution reactions (OER) is still a significant obstacle to the industrialization of hydrogen energy. This work demonstrates a stable and highly catalytic active FeOOH@CoP/NF nanostructured heterointerface for overall water splitting applications. The CoP/NF shows the lowest overpotential of 153 mV for HER, and FeOOH@CoP/NF shows the overpotential of 144 mV for OER at a current density of 10 mA/cm<sup>2</sup> under an alkaline medium. A full cell constructed with CoP/NF|| FeOOH@CoP/NF exhibits a cell voltage of 1.51 V and 1.75 V, respectively, to achieve a current density of 10 mA/cm<sup>2</sup> and 100 mA/cm<sup>2</sup> for total water splitting applications. Furthermore, the catalyst robustness tested for 30 h at 100 mA/cm<sup>2</sup> current density reveals surface reconstruction, which still enhances the activity of the electrocatalyst. The Co<sup>2+</sup> rich CoP metal complex creates an ensemble effect during the HER process whereas, Co<sup>3+</sup> and Fe<sup>2+</sup> organize a barter system leading to a better OER process in FeOOH–CoP interface. These findings demonstrate the potential use of CoP/NF || FeOOH@CoP/NF in water electrolysis and may offer a non-precious metal phosphate hydroxide electrocatalysts in real-world industrial applications.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"138 ","pages":"Pages 215-225"},"PeriodicalIF":8.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068953","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}
Xu Han , Yao Wang , Sheng Bi , Yuhui Meng , Lifu Zhang , Linze Jin , Junxiu Piao , Xiaoran Yang , Chengming Jiang , Wei Gao
{"title":"Artificial neural network reinforced topological optimization for bionics-based high-performance hydrogen sensor design under multi-physical field coupling","authors":"Xu Han , Yao Wang , Sheng Bi , Yuhui Meng , Lifu Zhang , Linze Jin , Junxiu Piao , Xiaoran Yang , Chengming Jiang , Wei Gao","doi":"10.1016/j.ijhydene.2025.05.177","DOIUrl":"10.1016/j.ijhydene.2025.05.177","url":null,"abstract":"<div><div>Hydrogen energy is considered a promising secondary energy source due to its green and efficient nature, earning it the title of the ultimate energy source of the 21st century. For security, resistive hydrogen sensors are a favored and well-established class of sensors developed to detect leaks during the production, transportation, and storage of hydrogen. However, the lack of focus on designing and optimizing hydrogen sensing arrays has limited the sensitivity of these devices. In response to this limitation, aided by topology optimization reinforced by artificial neural networks, a bionic tridimensional columnar hydrogen sensor (TCHS) has been developed based on multi-physics field coupling. Inspired by a paper-fan-like structure, TCHS has demonstrated a 70 % increase in strength compared to conventional rectangular arrays. Extensive simulations using back-propagation neural networks have validated the TCHS. Unique sensing cell structure allows the sensor to monitor hydrogen leaks from 0.1 % to 4 % at room temperature (25 °C), with a maximum response of 23 %, showcasing its superior electrical performance. This research marks a significant advancement in the performance of hydrogen sensors widely used in early warning devices, gas detection, and biosensors, providing new theoretical guidelines for their enhancement.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"138 ","pages":"Pages 226-235"},"PeriodicalIF":8.1,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068885","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}