International Journal of Hydrogen Energy最新文献

{"title":"Balancing economic growth and environmental health: The role of healthcare and renewable energy in the inflation Prevention","authors":"Chuanxi Gu ,&nbsp;Fen Goh","doi":"10.1016/j.ijhydene.2025.02.462","DOIUrl":"10.1016/j.ijhydene.2025.02.462","url":null,"abstract":"<div><div>The increasing effects of global warming require prompt action to be taken in order to mitigate the destruction of the environment. To reduce carbon dioxide emissions by 40% in the following decade, the Inflation Reduction Act (IRA) was adopted in 2022. We must work to reduce inflation and promote ecological sustainability. Natural resource (NTR), healthcare (HLT) and renewable energy (REC) usage should be carefully examined in our goal to achieve ecological sustainability since they are important components of the IRA. Therefore, using a Dynamic Autoregressive Distributed Lag Model (DYNARDL), this research aims to investigate how these three factors contribute to sustainability. Findings from the DYNARDL system show that NTR and HLT are responsible for a depressing amount of environmental degradation. REC shows great potential in fostering sustainability. The findings emphasize the significance of renewable energy in reducing greenhouse gas emissions, showing that a 1% rise in REC generates a 4% drop in CO₂ emissions. In contrast, there is a positive association between NTR and CO₂ emissions; for every 1% rise in NTR consumption, emissions rise by 15.7%, and HLT emissions rise by 19.7%. Results like these highlight the importance of stronger regulations for resource management and more funding for renewable energy sources. In light of these results, it is suggested that the IRA be better implemented. Both environmental and economic well-being would reap the rewards of this. According to the goals outlined in the Act, if deployment were to be effective, it would help bring the costs of protecting the environment into equilibrium with the advantages that it would provide to the economy.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"113 ","pages":"Pages 703-714"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552250","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":"Determination of ultimate operating pressure for hydrogen storage in high impurity salt caverns based on gas-structure-interaction model","authors":"Liupeng Fu ,&nbsp;Xilin Shi ,&nbsp;Jinyang Fan ,&nbsp;Peng Li ,&nbsp;Shijie Zhu ,&nbsp;Xinxing Wei ,&nbsp;Kun Yang","doi":"10.1016/j.ijhydene.2025.02.278","DOIUrl":"10.1016/j.ijhydene.2025.02.278","url":null,"abstract":"<div><div>Salt cavern hydrogen storage (SCHS) represents one of the most promising options for the large-scale underground storage of hydrogen. A complex gas-structure interaction (GSI) occurs between hydrogen as a gas and salt caverns. In this paper, a hydrogen permeation GSI model considering creep of surrounding rock is proposed, and the effects of the variation of the lower and upper limits of internal hydrogen pressure (IHP) on the tightness and stability of hydrogen storage in the S6 salt cavern are discussed. The findings indicate that as the lower limit of IHP diminishes, both the hydrogen permeability and the maximum displacement exhibit an upward trend. Conversely, as the upper limit of IHP rises, the hydrogen permeability increases while the maximum displacement declines. For S6 salt caverns, it is imperative that the upper limit IHP does not fall below 7 MPa, and the lower limit IHP should not be less than 16 MPa and not be more than 18 MPa. Furthermore, the permeation percentage of SCHS increases with the interlayer permeability, exhibiting a clear nonlinear relationship. When the permeability of the interlayer is 1e⁻¹⁸ m², the permeation percentage after 10 years of operation is 21.3%, which is more than twice the critical value. This indicates that S6 cavern hydrogen storage is not feasible when the interlayer permeability is greater than 1e⁻¹⁸ m².</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"113 ","pages":"Pages 685-702"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552394","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 comparative study on evolution characteristics of organic functional groups and gases during low-rank coal pyrolysis in N2 and H2 atmospheres","authors":"Haopeng Kang,&nbsp;Qiang Xu,&nbsp;Zeshui Cao,&nbsp;Xuyang Lu,&nbsp;Jian Shi,&nbsp;Bin Chen,&nbsp;Liejin Guo","doi":"10.1016/j.ijhydene.2025.03.037","DOIUrl":"10.1016/j.ijhydene.2025.03.037","url":null,"abstract":"<div><div>Coal hydropyrolysis is a promising conversion pathway, but its relationship with the evolution of organic functional groups and gases remains inadequately understood. Fitting the Fourier transform infrared (FTIR) spectra of the solid products reveals that the H₂ atmosphere promotes the devolatilization of phenolic hydroxyl groups, but the variation of carboxyl content is unaffected by the H₂ atmosphere. Real-time analysis of the volatiles by TG-FTIR shows that the reverse water-gas shift reaction is inhibited in the H₂ atmosphere, increasing the CO₂ yield. Gas chromatography analysis of the gaseous products indicates that the H₂ yield increases rapidly after temperature exceeding 650 °C, giving the volatiles significant reducing capabilities. However, the H₂ yield slightly decreases in the H₂ atmosphere. Using model-free kinetic methods, it is found that the H₂ atmosphere reduces the activation energy, energy required, and coal reactivity during the pyrolysis process.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"114 ","pages":"Pages 106-119"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547867","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":"Highly efficient electrochemical hydrogenation and dehydrogenation of quinoline catalyzed by a bifunctional RuNi electrode","authors":"Zhenye Zhang ,&nbsp;Shenghan Zhang ,&nbsp;Shijie Wang ,&nbsp;Xinliang Guo ,&nbsp;Zhilin Wang ,&nbsp;Yu Tan ,&nbsp;KeXin Liang","doi":"10.1016/j.ijhydene.2025.03.054","DOIUrl":"10.1016/j.ijhydene.2025.03.054","url":null,"abstract":"<div><div>Liquid organic hydrogen carriers (LOHCs) are considered highly promising materials for hydrogen storage due to their potential to store hydrogen under mild conditions. However, traditional hydrogenation and dehydrogenation methods for LOHCs often require harsh conditions and rely on exogenous hydrogen donors, limiting their practical application. Therefore, developing an efficient method to catalyze LOHCs hydrogenation and dehydrogenation at room temperature using a safe and clean hydrogen source is of significant scientific and practical importance. This paper presents an efficient and reversible electrochemical hydrogen storage system based on the nitrogen heterocyclic organic hydrogen carrier, quinoline. Here, the RuNi/NF electrode serves as an electrocatalyst to produce 1,2,3,4-tetrahydroquinoline (THQ) under ambient conditions, utilizing H₂O as a hydrogen source with up to 99% conversion and 99% selectivity. Quinoline was synthesized with 94% conversion and 92% selectivity within the same solution system. This exceptional performance is attributed to the RuNi alloying effect, which enhances both the affinity of the active hydrogen atom (H∗) in the solution and the activity of Ni²⁺ in the catalyst. Furthermore, the RuNi electrocatalyst exhibits excellent catalytic stability. The use of water as a hydrogen source eliminates the need for exogenous hydrogen, ensuring the safety of the process. This study provides an environmentally friendly and safe strategy for hydrogen storage in nitrogen heterocyclic organic carriers. By achieving efficient hydrogenation and dehydrogenation of LOHCs through electrochemical methods, this work not only expands the technical pathways for hydrogen storage but also offers important theoretical and practical insights for the development of future clean energy technologies.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"114 ","pages":"Pages 81-88"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547870","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":"Numerical investigation of mixing enhancement in a cavity-based supersonic combustor using the upstream wavy wall","authors":"Kaifeng Wang,&nbsp;Wei Cao","doi":"10.1016/j.ijhydene.2025.03.046","DOIUrl":"10.1016/j.ijhydene.2025.03.046","url":null,"abstract":"<div><div>To enhance the mixing efficiency of fuel and supersonic incoming air in scramjet engines, this paper numerically investigates the cavity-based combustor featuring an upstream wavy wall. Commercial software Ansys Fluent was utilized to solve the three-dimensional Reynolds-averaged Navier-Stokes (RANS) equations with the SST k−ω turbulence model and the finite-rate chemical reaction model. Numerical studies were performed for case 1 (combustor without a wavy wall) and five cases with wavy walls, each featuring different parameters. The wavy wall configurations include a wave number of 1.5 with amplitudes of 1 mm, 1.5 mm, and 2 mm for three cases, and an amplitude of 1.5 mm with wave numbers of 1 and 3 for the remaining two cases. The results indicate that the upstream wavy wall increases the strength and coverage of streamwise vorticity, enhances fuel penetration into the cavity, and generates additional shock waves that interact with the mixing layer. Consequently, the wavy wall improves the fuel penetration depth and spanwise distribution, reduces the mixing length required for fuel, and thereby enhances mixing efficiency and overall combustion performance. However, the wavy wall also contributes to an increase in total pressure loss. A comprehensive evaluation indicates that case-a1-b1.5 and case-a1.5-b1.5 demonstrate the best performance, as they achieve enhanced mixing efficiency with only a minimal increase in total pressure loss.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"114 ","pages":"Pages 18-30"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547871","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":"Thermal enhancement and energy minimization with dihydrogen oxide-based nanofluids","authors":"J. Iqbal ,&nbsp;F.M. Abbasi ,&nbsp;M.M. Alam","doi":"10.1016/j.ijhydene.2025.02.454","DOIUrl":"10.1016/j.ijhydene.2025.02.454","url":null,"abstract":"<div><div>The objective of this study is to analyze ternary hybrid nanofluid composed of metal oxides (<span><math><mrow><mi>A</mi><msub><mi>l</mi><mn>2</mn></msub><msub><mi>O</mi><mn>3</mn></msub><mo>,</mo><mi>Z</mi><mi>n</mi><mi>O</mi><mspace></mspace><mi>a</mi><mi>n</mi><mi>d</mi><mspace></mspace><mi>T</mi><mi>i</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>) nanoparticles suspended in distilled water. The primary aim is to assess these metal oxide-based ternary hybrid nanofluids for enhancing heat transfer efficiency, particularly on curved surfaces in renewable energy applications. The incorporation of <span><math><mrow><mi>A</mi><msub><mi>l</mi><mn>2</mn></msub><msub><mi>O</mi><mn>3</mn></msub><mo>,</mo><mi>Z</mi><mi>n</mi><mi>O</mi></mrow></math></span> and <span><math><mrow><mi>T</mi><mi>i</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> nanoparticles in the dihydrogen oxide <span><math><mrow><mo>(</mo><mrow><msub><mi>H</mi><mn>2</mn></msub><mi>O</mi></mrow><mo>)</mo></mrow></math></span> demonstrate significant potential for improving thermal conductivity. This investigation seeks to study the heat transfer enhancement of ternary hybrid nanofluids on curved stretching sheets. This research is expected to yield valuable insights into the advancement of renewable energy applications, including cooling systems for space and water heating, electricity generation, cooling, and transportation. Therefore, the introduction of this novel mathematical model is motivated by the energy management applications of the ternary hybrid nanofluid. This study addresses the influences of magnetohydrodynamics, heat generation, Hall current, thermal radiation, and Joule heating. The boundary layer equations of this novel model are transformed into ordinary differential equations using non-similarity transformations. Subsequently, the highly nonlinear system is numerically solved using the BVP4c technique through MATLAB. The outcomes of this examination reveal that the thermal performance of the trihybrid nano-liquid is more helpful compared to base liquid, nanofluid, hybrid nano-liquid, and modified hybrid nanofluid. The presence of a magnetic field increases the temperature distribution while simultaneously reducing the velocity profile. Additionally, heat transfer improves for superior values of the Hall parameter, surface curvature, and radiation parameter, whereas it decreases for the magnetic number. Drag force reduces for better values of curvature parameter and Hall parameter. The introduction of the ternary hybrid nanofluid has demonstrated significant efficiency in enhancing heat transfer processes, thereby exerting a notable impact on the overall performance of various systems. Its efficiency extends to applications in solar energy, electronics, heat exchangers, cooling systems, and numerous industrial processes.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"113 ","pages":"Pages 585-598"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552395","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":"Applying artificial intelligence for forecasting behavior in a liquefied hydrogen unit","authors":"Dongmei Jing ,&nbsp;Azher M. Abed ,&nbsp;Pinank Patel ,&nbsp;D.T. Arunkumar ,&nbsp;Damanjeet Aulakh ,&nbsp;Bashir Salah ,&nbsp;Ibrahim Mahariq","doi":"10.1016/j.ijhydene.2025.02.349","DOIUrl":"10.1016/j.ijhydene.2025.02.349","url":null,"abstract":"<div><div>Liquid H₂ production using the Claude cycle requires an appropriate refrigeration cycle for initial cooling of gaseous H₂. Additionally, the modified generator-absorber heat exchanger cycle exhibits higher coefficient of performance among refrigeration cycles and can operate at very low temperatures approaching negative 30 °C. In this work, a modified generator-absorber heat exchanger cycle, geothermal energy, and Claude cycle are combined to produce and store liquid H₂. A comprehensive analysis is conducted, including thermodynamic, economic, sustainability, net present value, environmental perspectives, and multi-objective optimization using an artificial neural network and the multi-objective grey wolf optimizer. Compressor pressure has no effect on the amount of produced liquid H₂, remaining constant at 12.55 kg/s. Key results show an exergetic efficiency increase to 24.27%, a reduction in liquefied H₂ cost to 1.482 $/kg, and a decrease in system cost rate to 45.71 $/h. The liquefied H₂ mass flow rate is optimized at 4.178 kg/s, while compressor power consumption dropped to 214.2 MW, and turbine power output reached 13.54 MW. The payback period is shortened to 3.39 years, with the net present value exceeding 40 M$ over 20 years. Sensitivity analysis revealed that evaporator temperature (51.4%) and compressor pressure (57.1%) are the most influential factors.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"114 ","pages":"Pages 31-51"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548547","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":"Suppression performance and mechanism of water mist containing compound potassium salts on hydrogen-enriched natural gas jet flame","authors":"Litao Liu ,&nbsp;Zhenmin Luo ,&nbsp;Yong Yang ,&nbsp;Tao Wang ,&nbsp;Bin Su ,&nbsp;Shangyong Zhou ,&nbsp;Yuhuai Sheng ,&nbsp;Pengzhi Wu ,&nbsp;Yating Zhang ,&nbsp;Chi-Min Shu","doi":"10.1016/j.ijhydene.2025.03.023","DOIUrl":"10.1016/j.ijhydene.2025.03.023","url":null,"abstract":"<div><div>A non-premixed jet fire could be caused when a gaseous fuel leakage occurs during the storage and transport of hydrogen-enriched natural gas when the fuel is ignited in still air. Water mist systems exhibit limitations in fully addressing both the fire suppression efficiency challenges and environmental contamination concerns associated with hydrogen-enriched natural gas fires. Therefore, it is necessary to mitigate the risk of hydrogen-enriched natural gas leakage by using water mist containing potassium compound salt. Simulated experiments were designed and conducted to evaluate the suppression performance of water mist containing potassium compound salt. The diameter of the nozzle (3.15, 4.0, 4.94, 5.65, and 6.0 mm), the volume flow rates (10, 20, 30, 40, 50, and 60 L/min), and the spray pressure (0.2, 0.3, and 0.4 MPa) were the variables. The characteristic parameters of the water mist containing potassium compound salt were analyzed to evaluate the feasibility and effectiveness of water mist containing potassium compound salt. Combining the flow field of water mist containing potassium compound salt and hydrogen-enriched natural gas jet flame via PIV, the competitive behavior and quantitative relationship of the gas-spray interaction was revealed, analyzed, and elucidated. The results show that the nozzle has high fire extinguishing effectiveness under high spray pressure conditions. Furthermore, the flame height under spray pressure suppression was shown to decrease with the increase in spray pressure. To sum up, a prediction model for leakage gas suppression is proposed based upon the gas-spray momentum ratio. A simplified reaction kinetic mechanism containing gaseous KOH was constructed to elucidate the suppression mechanism of hydrogen-enriched natural gas jet flame by fine water mist containing potassium compound salt. The research results have vital reference value for optimizing water mist-containing additions systems to suppress gas leakage in such applications. The proposed model and mechanism can provide valuable information to develop more accurate and efficient combustion models, thus improving the safety and applicability of industrial processes.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"113 ","pages":"Pages 646-654"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551554","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":"Uncertainty-aware oriented lifetime prediction of proton exchange membrane fuel cells based on high-order time-frequency health indicator","authors":"Ruodong Ma ,&nbsp;Jisen Li ,&nbsp;Dongqi Zhao ,&nbsp;Ze Zhou ,&nbsp;Binyu Xiong ,&nbsp;Liyan Zhang ,&nbsp;Qihong Chen","doi":"10.1016/j.ijhydene.2025.02.406","DOIUrl":"10.1016/j.ijhydene.2025.02.406","url":null,"abstract":"<div><div>Accurate degradation prediction of proton exchange membrane fuel cells is essential for their reliability and durability. However, the sophisticated degradation mechanism introduces uncertainties that compromise the prediction accuracy of PEMFCs lifetime. To address this problem, an uncertainty-aware network is proposed for interval prediction of degradation, which leverages higher-order time-frequency health indicators. These indicators are derived from higher-order voltage polynomials, with coefficients determined by frequency features extracted from the distribution relaxation time. This approach facilitates the extraction of multi-order effective information. The uncertainty-aware network achieves interval prediction by incorporating global quantile regression layer into bidirectional long short-term memory neural network, which increases prediction accuracy and reliability. Moreover, the nature-inspired hippopotamus optimization algorithm is employed to fine-tune hyperparameters of uncertainty-aware network, reducing computational complexity. The performance of proposed method is demonstrated through experimental comparisons. The root-mean-square error of prediction was improved by more than 39.65% for both static and dynamic conditions, and the accuracy of remaining life prediction was improved by more than 32.8%. This method provides a high-order interpretable time-frequency health indicator for fuel cell degradation prediction, which provides strong support for fuel cell degradation prediction and long-time stable operation.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"113 ","pages":"Pages 655-668"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552269","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":"ANN-based correlation for predicting self-pressurization rate in quasi-spherical liquid hydrogen storage tanks","authors":"Anas A. Rahman ,&nbsp;Bo Wang ,&nbsp;Ruyi Ji ,&nbsp;Haoren Wang ,&nbsp;Tiancheng Xu ,&nbsp;Tao Jin ,&nbsp;Zhihua Gan","doi":"10.1016/j.ijhydene.2025.02.483","DOIUrl":"10.1016/j.ijhydene.2025.02.483","url":null,"abstract":"<div><div>Hydrogen has been considered a promising clean energy carrier and its storage in the liquid state is the most economical choice. One of the main problems related with non-venting storage of liquid hydrogen (LH₂) is the accurate prediction of self-pressurization rate (SPR). For such a prediction task, many thermal models and empirical correlations were developed; however, significant deviations arose. In this study, a correlation has been developed for predicting SPR in quasi-spherical LH₂ tanks, based on a well-trained artificial neural network (ANN) model using 333 data points collected from different literature sources. Normal evaporation rate (NER) and non-venting hold time (NVHT) were considered as the input parameters for the ANN model. Self-pressurization rate was analytically correlated with both normal evaporation rate and non-venting hold time. The applicability range of the developed ANN model for predicting the SPR falls in the value-range between 0.00996 and 0.52026 MPa/day. The developed correlation was validated experimentally and compared to the available literature empirical correlations and numerical models. Compared to experimental work, the ANN-based correlation has been proven to predict SPR with an average error of 1.4% and a favorable correlation coefficient of 0.999897 between the predicted SPRs and corresponding targets, better than the available literature correlations and numerical models. Also, the feasibility of applying this correlation to different case studies, was illustrated. Moreover, the feasibility of potential incorporating the developed ANN model into real-time monitoring systems with some highlights for uncertainty sources, has been considered. The findings of this research offer a valuable correlation for designers and practitioners without the burden of high computational costs and time consumption.</div></div>","PeriodicalId":337,"journal":{"name":"International Journal of Hydrogen Energy","volume":"113 ","pages":"Pages 614-628"},"PeriodicalIF":8.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552396","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}