International Journal of Energy Research最新文献

{"title":"Ensemble Approach Assisted Specific Capacitance Prediction for Heteroatom-Doped High-Performance Supercapacitors","authors":"Ravi Prakash Dwivedi,&nbsp;Richa Dubey,&nbsp;Dheeren Ku Mahapatra,&nbsp;Saurav Gupta","doi":"10.1155/er/5975979","DOIUrl":"https://doi.org/10.1155/er/5975979","url":null,"abstract":"<div>\u0000 <p>Specific capacitance plays a critical role when assessing the performance of a supercapacitor. Hence, its prediction is crucial for evaluating the electrochemical performance of electric double-layer capacitors (EDLCs). Machine learning (ML) offers the prospect of predicting capacitance with nominal investment in the synthesis and testing of electrode materials. Herein, six ML models: random forest (RF), artificial neural network (ANN), random tree (RT), random committee (RC), random subspace (RS), and support vector machine (SVM) regressor are used to analyze the effect of four hetero atom doping (nitrogen, boron, sulfur, and phosphorous) on the electrochemical performance of EDLCs. Amongst all, RF, ANN, and RS showed the highest correlation values of 0.9996, 0.9993 and 0.9867, respectively, and the lowest root mean square values of 0.93, 1.19, and 2.31, respectively, through selection of 12 key input descriptors on the basis of physical, structural, test, operational, and doping parameters. Furthermore, attribute prioritization was introduced to identify and rank important features within the dataset. It highlights that specific surface area, total pore volume, and nitrogen are the most significant descriptors among 12 selected input features. With fewer iterations, the developed models’ estimation accuracy surpassed other state-of-art models in literature. In perspective, this study considers an extensive dataset extracted from more than 250 research articles on heteroatom-doped carbon electrodes. It also provides insights into the significance of ML modeling on the electrochemical technology.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5975979","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Paving the Way for Commercial Hydrogen Generation From Natural and Artificial Seawater Based on Photocathode of Manganese(II) Oxide–Manganese(IV) Oxide/Poly–1H Pyrrole Nanocomposite Seeded on Additional Poly–1H Pyrrole Film","authors":"Maha Abdallah Alnuwaiser,&nbsp;Mohamed Rabia,&nbsp;Asmaa M. Elsayed","doi":"10.1155/er/9369233","DOIUrl":"https://doi.org/10.1155/er/9369233","url":null,"abstract":"<div>\u0000 <p>A MnO–MnO₂Poly–1H pyrrole (P1HP) nanocomposite featuring a distinctive semi-pentagonal structure has been synthesized by integrating manganese oxides (MnO and MnO₂) into P1HP through an oxidation process. The resulting nanostructure includes large pentagonal particles ranging from 500 to 600 nm in size, along with smaller dotted particles about 20 nm in diameter. This nanocomposite demonstrates excellent optical absorption across a broad range of spectra, with a bandgap of 1.8 eV. The MnO–MnO₂–P1HP composite is deposited onto a P1HP substrate, forming a MnO–MnO₂–P1HP/P1HP photocathode designed for hydrogen (H₂) production using either natural Red Sea water or an artificial seawater solution free of heavy metals as the electrolyte. H₂ production is evaluated in a three-electrode cell, where the current density under light (<i>J</i>_ph) compared to dark conditions (<i>J</i>_o) serves as the primary indicator of the photocathode’s sensitivity. In natural seawater, <i>J</i>_ph reaches −2.55 mA/cm², while <i>J</i>_o measures −1.6 mA/cm². In artificial seawater, these values decrease slightly to −2.3 mA/cm² and −1.4 mA/cm², respectively. The photocathode’s reproducibility is confirmed through chopped light experiments, which show consistent fluctuations in <i>J</i> values. Its high sensitivity is also demonstrated by its response to varying light energies, ranging from 3.6 to 1.7 eV, with peak <i>J</i>_ph values at 3.6 eV (−2.50 mA/cm²) and a decrease to 2.25 mA/cm² at 2.3 eV. Due to its crystalline structure and cost-efficiency, this MnO–MnO₂–P1HP/P1HP photocathode offers a promising solution for the conversion of Red Sea water into H₂ gas.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9369233","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143919519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated and Fire Spiking Neuron Model for Improved Wind Speed Forecasting","authors":"Talal Alharbi,&nbsp;Ubaid Ahmed,&nbsp;Abdulelah Alharbi,&nbsp;Anzar Mahmood","doi":"10.1155/er/3098062","DOIUrl":"https://doi.org/10.1155/er/3098062","url":null,"abstract":"<div>\u0000 <p>The widespread integration of renewable energy resources (RERs) is needed for achieving sustainable development goals (SDGs) like affordable and clean energy, climate action and industry, innovation, and infrastructure. Wind energy is a type of RER with huge potential to fulfill the ever-increasing electricity demand of the world. However, the intermittent nature of wind hinders the large-scale integration of wind turbines into the existing power system. The main source of intermittency is due to wind speed (WS), and this intermittency can be overcome by implementing an accurate forecasting model. The traditional WS forecasting models require huge data for improved outcomes and have a high computational time. Therefore, in this proposed study, we present a novel approach that leverages the spiking neurons functionality for improved WS forecasting with reduced computational time. The spiking neurons with the configuration of integrated and fire (I&amp;F) are used to propose a new architecture called the I&amp;F neurons network (IF-NN). The datasets of four different geographical locations of Saudi Arabia are used for simulation purposes, and the performance of IF-NN is compared with state-of-the-art networks. Findings illustrate that for the datasets of Al Jouf and Turaif cities, the proposed model records the improvement of 74.3% and 68.8% in mean absolute percentage error (MAPE) as compared to the recurrent neural network-long short-term memory (RNN-LSTM) technique, which was found to be the second-best performing model for these datasets. Furthermore, the MAPE of IF-NN is 69.9% and 65.9% better than the MAPE of convolutional neural network-LSTM (CNN-LSTM), which gives the second-best forecasting performance among the models used for comparative analysis for Haffer Al Batin and Yanbu datasets. The comparative analysis also illustrates that IF-NN has better computational time as compared to RNN for each dataset because of spiking neurons.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/3098062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in Green Hydrogen Production: A Comprehensive Review of System Integration, Power Grid Applications, and Cost Optimization","authors":"Hossam Ashraf,&nbsp;Masahiro Mae,&nbsp;Ryuji Matsuhashi","doi":"10.1155/er/5321698","DOIUrl":"https://doi.org/10.1155/er/5321698","url":null,"abstract":"<div>\u0000 <p>Hydrogen is acquiring a promising recognition as a new trend in energy storage technologies due to its advantageous features including fast response, high energy density, and unconstrained storage capacity. Thus, it offers an effective solution for addressing the stability challenges posed by the large-scale integration of renewable energy sources (RESs) into power systems. Accordingly, this article presents a comprehensive review of advancements in green hydrogen production (GHP), with a focus on water electrolyzers (WELs) and their integration into power systems. Specifically, it examines WEL types, operational characteristics, and the role of DC converters in system connectivity and efficient power flow. Furthermore, various control strategies to optimize converter performance are thoroughly analyzed, along with WEL applications in frequency and voltage regulation, congestion management, and black start operations. Moreover, recent efforts to minimize hydrogen production costs through optimal system configurations and resource management are reviewed. It’s worth indicating that alkaline WELs have the lowest capital cost, qualifying them as a cost-effective option for large-scale hydrogen production. Therefore, this article seeks to aid researchers and stakeholders by providing an insightful overview of the present status of WEL emergence in modern energy systems, highlighting key technological advancements, challenges, and prospects.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5321698","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Controlled Growth Temperatures of High Dielectric Constant Gallium Cerium Oxide Layer on 4H-Silicon Carbide Substrate","authors":"Abdul Shekkeer Kammutty Musliyarakath,&nbsp;Kuan Yew Cheong,&nbsp;Hock Jin Quah","doi":"10.1155/er/9966942","DOIUrl":"https://doi.org/10.1155/er/9966942","url":null,"abstract":"<div>\u0000 <p>The potential of using gallium cerium oxide (Ga_<i>x</i>Ce_<i>y</i>O_<i>z</i>) as a passivation layer (PL) on 4H-silicon carbide (SiC) substrates were thoroughly assessed after annealing in nitrogen–oxygen–nitrogen (N₂–O₂–N₂) ambient at varying temperatures of 600, 700, 800, and 900°C. It was observed that nitrogen ions introduced during the annealing process were predominantly attached to oxygen vacancies (<i>V</i>_o) within the oxide layer at lower temperatures (600 and 700°C), whereas at elevated temperatures (800 and 900°C), there was a substantial increase in the migration of nitrogen ions toward the interface of Ga_<i>x</i>Ce_<i>y</i>O_<i>z</i>/4H-SiC. Analysis employing X-ray photoelectron spectroscopy (XPS) corroborated the transformation of Ce³⁺ to Ce⁴⁺ at 900°C due to enhanced reoxidation. As a result, the passivation of <i>V</i>_o at 800 and 900°C led to a significantly higher dielectric constant, improved breakdown field, and favorable values for slow trap density (STD), interface trap density, interface state density, as well as effective oxide charge, highlighting the potential of Ga_<i>x</i>Ce_<i>y</i>O_<i>z</i> PL on 4H-SiC for use in metal–oxide–semiconductor (MOS) applications.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9966942","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High Wettability and Fast Ion Conduction of Polyimide-Based Separator for High-Rate Capability in Aqueous Zn-Ion Battery","authors":"Jongha Hwang,&nbsp;Jeonguk Hwang,&nbsp;Jongmin Park,&nbsp;Chi Keung Song,&nbsp;Juwon Jeong,&nbsp;Sang-Hyun Moon,&nbsp;Yun Ho Kim,&nbsp;Woo-Jin Song","doi":"10.1155/er/3558293","DOIUrl":"https://doi.org/10.1155/er/3558293","url":null,"abstract":"<div>\u0000 <p>Aqueous Zn ion batteries (AZIBs) are increasing in interest as next-generation rechargeable batteries due to the nonflammability of the aqueous electrolyte, the high theoretical capacity (820 mA h g⁻¹) of the Zn anode, and their high price competitiveness. However, the capacity and cycle life characteristics are significantly lower than those of current lithium-ion batteries (LIBs) due to the low cycle life caused by dendrite formation on the Zn anode and the decreased capacity problem caused by structure collapse from the cathode. In this work, we utilized the high internal phase emulsion (HIPE) and KOH-derived ring cleavage reaction techniques to construct a hydrophilic polyimide-based separator (HPI) with enhanced wettability and ion transfer properties. Comparing this HPI separator to the glass fiber (GF) separator, which is widely used in AZIBs, the cycle life of the Zn anode was increased from 150 h to 350 h at 1 mA cm⁻² of current density. Additionally, a full cell using a NaV₃O₈ cathode achieved a specific capacity of 162.2 mA h g⁻¹ after 1,000 cycles at a current density of 0.5 A g⁻¹. This is significantly higher than the 89.8 mA h g⁻¹ obtained when using a GF separator, and at a high current density of 2 A g⁻¹, the capacity was 194.8 mA h g⁻¹, which is much greater than the 103.4 mA h g⁻¹ obtained when using the GF separator. The polyimide-based separator with high ion transfer characteristics developed in this study will probably have a crucial role in developing next-generation AZIBs.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/3558293","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DFT-Based Investigation of Electronic, Optical, and Thermoelectric Properties of TaCu3X4 (X = S, Se, Te) Chalcogenides for Optoelectronic and Energy Applications","authors":"Issam El Bakkali,&nbsp;Abdelali Talbi,&nbsp;Mohamed Louzazni,&nbsp;Amina Lemnawar,&nbsp;Khalid Nouneh","doi":"10.1155/er/7846959","DOIUrl":"https://doi.org/10.1155/er/7846959","url":null,"abstract":"<div>\u0000 <p>In this investigation, the electronic, optical, and thermoelectric (TE) characteristics of the chalcogenide compound TaCu₃X₄ (X = S, Se, Te) were examined through first-principles calculations employing density functional theory (DFT). The exchange-correlation potential was determined using the generalized gradient approximation Perdew-Burke-Ernzerhof for solids (GGA-PBEsol). Analysis of the band structures indicated the semiconducting nature of all investigated compounds, with direct band gaps measured at 2.4, 2.2, and 2 eV for TaCu₃X₄ (X = S, Se, Te), respectively. Notably, strong absorption within the visible and low ultraviolet spectra was observed. Optical dispersion analyses, encompassing complex dielectric function, energy loss function, refractive index, extinction coefficient, reflectivity, and optical conductivity, were conducted within the energy range of 0–14 eV, revealing anisotropic polarization across all compounds, making them promising candidates for optoelectronic applications. Furthermore, the transport properties of the chalcogenide compounds were assessed, indicating noteworthy electrical conductivity, electronic thermal conductivity, and Seebeck coefficient, attributable to the majority electron carriers with semiconductor characteristics. Effective masses of electrons and holes were determined through dispersion curve fitting, highlighting promising TE behavior, as evidenced by the calculated figure of merit for TaCu₃X₄ (X = S, Se, Te), positioning it as a prospective candidate for renewable energy device implementations.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/7846959","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Energy Efficiency in Poland’s Construction Sector: Simulating Renewable Energy and Storage Integration","authors":"Anna Horzela-Mis,&nbsp;Jakub Semrau","doi":"10.1155/er/6646016","DOIUrl":"https://doi.org/10.1155/er/6646016","url":null,"abstract":"<div>\u0000 <p>This study examines the integration of renewable energy sources and advanced storage systems in Poland’s construction industry, emphasizing sustainability and cost efficiency. The sector’s transition from fossil fuels to photovoltaic (PV) and wind energy aims to reduce carbon emissions and operational costs. However, energy intermittency necessitates the adoption of storage solutions like lithium-ion batteries to ensure reliability. The research utilizes simulation tools to optimize the performance and economic feasibility of renewable energy systems in construction. These tools enable precise planning, supporting sustainability goals and cost-effectiveness. A case study is presented, detailing the implementation of a PV system with 56 modules and a hybrid inverter, designed to enhance energy efficiency and reduce environmental impact. Key findings indicate a 3-year payback period and total savings of 767,479.48 Polish złoty (PLN) over 25 years, demonstrating significant financial benefits. The study also explores the integration of energy storage to address supply intermittency, further optimizing energy use and increasing long-term savings. The results highlight the innovative role of simulations in improving energy planning, bridging knowledge gaps, and supporting decision-making in renewable energy adoption within the construction sector. This research underscores the dual advantages of financial savings and environmental benefits, reinforcing the economic and ecological viability of renewable energy solutions. By integrating advanced storage systems and simulation tools, this study provides actionable insights for industry stakeholders, facilitating a sustainable transition aligned with global decarbonization goals and long-term energy resilience in the construction sector.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/6646016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143896948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Artificial Neural Networks for Classification of Composition and Biomass Species for Energy Based on Thermogravimetric Data","authors":"Borja Velázquez-Martí,&nbsp;Alfredo Bonini-Neto,&nbsp;Wesley Prado Leão-dos-Santos,&nbsp;Juan Gaibor-Chávez,&nbsp;José Antonio Escobar-Machado,&nbsp;Xavier Álvarez-Montero","doi":"10.1155/er/8832502","DOIUrl":"https://doi.org/10.1155/er/8832502","url":null,"abstract":"<div>\u0000 <p>The thermogravimetric analysis (TGA) data of wood present a very similar layout, which makes it difficult to obtain information on components or types of biomass with traditional techniques, which are generally based on the decrease in weight of the sample at specific temperature values. In this work, artificial neural networks are applied as an innovative technique to identify species or differences in components more effectively. This work evaluates the use of TGA data markers (similar to genetic markers) to obtain information on biomass. That is multiple values of the percentage of residual weight with respect to the initial one at specific temperatures of the TGA data. These networks achieve classification by automatically adjusting weights based on training patterns with input marker data. By replicating the curve for the same sample and having unique characteristics, TGA becomes a valuable tool to identify species and characterize biomass composition. The application of artificial intelligence techniques makes it possible to provide detailed information about the components and improve the accuracy of sample classification. The results demonstrate that the neural network successfully classified 95% of wood samples from eight different species and accurately determined the percentage composition with 98% precision.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/8832502","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143889108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Hydrogen Storage Performance of Metal Hydrides in Ships: A Review","authors":"Chaohe Chen,&nbsp;Yingkai Dong,&nbsp;Mengjie Jiang,&nbsp;Lianbin Zhang","doi":"10.1155/er/8001396","DOIUrl":"https://doi.org/10.1155/er/8001396","url":null,"abstract":"<div>\u0000 <p>Some metals and metal alloys can store gaseous hydrogen (GH₂), making the storage of hydrogen in metal hydrides (MHs) possible. The present work aims to explore the development of marine MHs and technologies for enhancing hydrogen storage performance while identifying future research priorities. First, the mechanism of MHs hydrogen storage is summarized and its applications in the maritime field are introduced. Subsequently, the technical and economic feasibility of utilizing MHs hydrogen storage technology in ships is analyzed along with the application scenarios and requirements of ship-based MHs. Furthermore, to meet the target requirements for hydrogen storage properties in ship power systems, this review focuses on several aspects: the hydrogen storage materials, reactor structural parameters, hydrogen storage operating conditions, and thermal management optimization. The factors influencing the performance of MHs hydrogen storage systems and their impacts are summarized. Strategies to enhance the performance of MHs hydrogen storage are proposed and technologies for heat transfer enhancement in MHs hydrogen storage, along with the corresponding thermal management systems, are introduced. Finally, future research directions for ship-based MHs hydrogen storage are outlined: developing new synthesis routes for novel MH hydrogen storage materials; creating microchannel hydrogen storage reactors with excellent hydrogen storage and heat transfer performance and conducting combined optimization analyses of multiple reactor structural parameters and operational parameters; coupling phase change materials (PCMs) to enhance the energy utilization efficiency of the hydrogen absorption and desorption process; reasonably regulating the kinetics of the hydrogen storage system to ensure the dynamic stability coupled with hydrogen fuel cells; and constructing intelligent hydrogen storage systems based on deep learning methods to improve the predictive and decision-making capabilities for hydrogen storage performance and thermal management. Through exploring these research directions, MHs hydrogen storage technology is anticipated to achieve greater efficiency and wider applications in the future.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/8001396","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143889043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}