International Journal of Energy Research最新文献

{"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}

{"title":"Acid-Treatment-Assisted Liquid Metal–Based Zinc Metal Anode for Stable Aqueous Zinc-Ion Batteries","authors":"Hyungsub Yoon,&nbsp;Chunghyeon Choi,&nbsp;Seungwoo Hong,&nbsp;Marita Afiandika,&nbsp;Aleksandar Matic,&nbsp;Tae Gwang Yun,&nbsp;Byungil Hwang","doi":"10.1155/er/1405163","DOIUrl":"https://doi.org/10.1155/er/1405163","url":null,"abstract":"<div>\u0000 <p>Aqueous Zn-ion batteries (AZIBs) are considered to be a promising alternative to Li-ion batteries (LIBs) owing to the low cost, superior safety, and high theoretical capacity of the Zn anode (820 mAh g⁻¹ and 5855 mAh cm⁻³). However, Zn metal anodes encounter challenges, mainly including the formation of unfavorable byproducts and the growth of Zn dendrites. Furthermore, Zn metal corrosion and the hydrogen evolution reaction (HER) are issues related to AZIBs. To overcome these issues, we engineered a Zn metal surface using acid treatment and eutectic GaIn–liquid metal (EGaIn–LM) coating. Coating EGaIn–LM on the Zn metal anode results in an liquid–liquid interface between the electrolyte and electrode, increasing wettability and accelerating charge transfer kinetics, with respect to a bare Zn metal anode. Furthermore, the EGaIn–LM coating improved corrosion resistance and reduced the HER owing to the high overpotentials of the reaction with Ga and In. Based on these advantages, EGaIn–LM@acidified Zn (EGaIn–LM@AZn) anodes showed stable symmetric cycling over 420 h and exhibited high stability against the formation of byproducts and Zn dendrites. Finally, we prepared V₂O₅ cathode–based full cells with different anodes. The V₂O₅//EGaIn–LM@AZn full cell demonstrated excellent rate capability, long-term charge/discharge cycling (capacity retention of 71.8% after 1500 cycles at a current density of 5 A g⁻¹), and high specific capacities under various current densities owing to improved charge transfer kinetics and the protective nature of EGaIn–LM. The proposed simple EGaIn–LM coating method may offer a promising strategy to prepare a stable Zn anode.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/1405163","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880159","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":"Highly Active and Durable NiMoMn Hydrogen Evolution Catalysts for Proton-Exchange Membrane Water Electrolysis","authors":"Chan Hee Lee,&nbsp;Kyeong-Rim Yeo,&nbsp;Soo-Kil Kim","doi":"10.1155/er/5812374","DOIUrl":"https://doi.org/10.1155/er/5812374","url":null,"abstract":"<div>\u0000 <p>Proton-exchange membrane water electrolysis (PEMWE) powered by renewable energy sources is an eco-friendly technology for the mass production of hydrogen. One of the major obstacles in the commercialization of PEMWE is the necessity of using precious metal catalysts under corrosive operating conditions, which can be partially mitigated by using nonprecious metal catalysts for the cathode, where the conditions are less harsh than those for the anode. However, the use of nonprecious transition metal catalysts limits both performance and durability. To overcome this limitation, a wide range of NiMoMn ternary alloy catalyst compositions were fabricated by electrodeposition, and their performances were evaluated. The best-performing Ni_82.1Mo_11.6Mn_6.3 alloy catalyst exhibited an outstanding hydrogen evolution performance with an overpotential of 16 mV at −10 mA cm⁻², and with an increase of only 8 mV after 10,000 potential cycles for durability testing. The application of this material in a PEMWE single cell gave a favorable performance of 1.936 A cm⁻² at 2.0 V_cell, and an excellent degradation rate of 2.2 mV h⁻¹ in a durability test performed at 1 A cm⁻². This high performance and excellent durability of the Ni_82.1Mo_11.6Mn_6.3 catalyst was attributed to the modulation of its electronic structure, in addition to a large electrochemical surface area, and stable Mn oxide formation on the surface. These results indicate the potential of this catalyst for use in lowering the hydrogen production costs associated with PEMWE.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5812374","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880044","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":"An Efficient Algorithm for Demand-Response Optimization in Smart Grid Power Communication Based on Edge-IoT","authors":"Zhibo Fu,&nbsp;Abdullah Sultan Al Shammre,&nbsp;Shelily F. Akhtar,&nbsp;Radwan A. Almasri,&nbsp;Ahmed Emara,&nbsp;Mohammed J. F. Alenazi","doi":"10.1155/er/2245366","DOIUrl":"https://doi.org/10.1155/er/2245366","url":null,"abstract":"<div>\u0000 <p>Demand-response is one of the influencing factors in power communication networks. Existing studies did not consider much about the information distribution problem in power communication demand-response, therefore, this paper proposed a new approach. The main idea is to propose a multihop cooperative caching algorithm to minimize the delay that occurs during the demand-response of user’s information. The repetition caching rate of the edge gateway is reduced by providing low-delay information by proposing a noncooperative game-based caching scheme. Finally, a distributed caching algorithm for a real scenario is proposed. Simulation results show that the proposed algorithm improved the system’s performance under various operating conditions. It averages a reduction in the information distribution latency to 55.88% of the original mode; the actual maximum response capacity is raised by an average of 40.12%, and the number of power users increases by 2.53% on average.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2245366","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880045","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":"Analytical Modeling of Photovoltaic Systems Under Partial Shading Conditions Incorporating Bypass and Blocking Diodes Influence","authors":"Lahlou Abad,&nbsp;Salah Tamalouzt,&nbsp;Kamel Djermouni,&nbsp;Saad Mekhilef,&nbsp;Youcef Belkhier","doi":"10.1155/er/3384091","DOIUrl":"https://doi.org/10.1155/er/3384091","url":null,"abstract":"<div>\u0000 <p>This paper presents an innovative analytical model for photovoltaic (PV) systems operating under partial shading conditions (PSCs). The model is developed through a detailed analysis of the current–voltage (<i>I</i>–<i>V</i>) curves of PV systems affected by PSCs and employs a straightforward computational algorithm by adjusting every time the number of cells or modules contributing to power generation and calculating the voltage across these cells or modules, the Newton–Raphson algorithm is then used to solve the developed analytical model efficiently, ensuring accurate integration of all data into the equation of the output current. The proposed model accounts for the effects of bypass and blocking diodes, which are critical for managing partial shading and ensuring efficient power flow. It is applicable to various configurations, including individual PV modules and PV arrays in series (S), parallel (P), and series-parallel (SP) arrangements. The results are validated through comparisons with Simpowersystem tools in the MATLAB-Simulink environment. The model showcases notably accelerated execution times and dependable convergence toward the global maximum power point (GMPP). Additionally, the proposed algorithm can be implemented using any computational software, highlighting its versatility and potential for practical applications in PV system optimization and real-time simulation environments.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/3384091","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880157","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":"Reinforcement Learning-Based Injection Schedules for CO2 Geological Storage Under Operation Constraints","authors":"Suryeom Jo,&nbsp;Tea-Woo Kim,&nbsp;Changhyup Park,&nbsp;Byungin Choi","doi":"10.1155/er/9924459","DOIUrl":"https://doi.org/10.1155/er/9924459","url":null,"abstract":"<div>\u0000 <p>This study develops an advanced deep reinforcement learning framework utilizing the Advantage Actor–Critic (A2C) algorithm to optimize periodic CO₂ injection scheduling with a focus on both containment and injectivity. The A2C algorithm identifies optimal injection strategies that maximize the CO₂ injection volume while adhering to fault-pressure constraints, thereby reducing the risk of fault activation and leakage. Through interactions with a dynamic 3D geological model, the algorithm selects actions from a continuous space and evaluates them using a reward system that balances injection efficiency with operational safety. The proposed reinforcement learning approach outperforms constant-rate strategies, achieving 22.3% greater CO₂ injection volumes over a 16-year period while maintaining fault stability at a given activation pressure, even without incorporating geomechanical modeling. The framework effectively accounts for subsurface uncertainties, demonstrating robustness and adaptability across various fault locations. The proposed method is expected to serve as a valuable tool for optimizing CO₂ geological storage that can be applied in complex subsurface operations under uncertain conditions.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9924459","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884230","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":"Techno-Economic and Sustainability Assessment of a Novel Waste Heat Recovery of Carbon Black Plant Integrated With a Steam Plant","authors":"Ayeyemi Ajegunle,&nbsp;Peter Aigba,&nbsp;Olusegun D. Samuel,&nbsp;Joseph Oyekale,&nbsp;Benjamin U. Oreko,&nbsp;Christopher C. Enweremadu,&nbsp;Prabhu Paramasivam,&nbsp;Larry Orobome Agberegha,&nbsp;H. Fayaz","doi":"10.1155/er/6905764","DOIUrl":"https://doi.org/10.1155/er/6905764","url":null,"abstract":"<div>\u0000 <p>This study investigates carbon black (CB) production challenges, including high energy usage and waste of heat sources, by proposing a waste heat energy recovery concept to increase the sustainability of this energy-intensive and environmentally impactful process. The research involves a novel integration of a steam power plant (STP) with an industrial CB plant (CBP) using Aspen Plus simulation software. Comparative exergetic performance analyses of the system were conducted with this tool, while the Engineering Equation Solver (EES) was used to evaluate the exergoeconomic modelling of the plant. Additionally, environmental sustainability indicators were determined. The integrated plant system delivered CB capacity of 1817 kg/s, converted 98.03% of CB feedstocks with a purification value of 99.25% and produced 195 MW of electricity, significantly improving plant efficiency. The overall energy and exergy efficiencies for the integrated system are computed as 98.75% and 80.40%, respectively, with the STP contributing to the overall plant improvement. About 50% of the produced exergy was destroyed, with the CB combustor accounting for 48% of the combined plant exergetic destruction. Despite a substantial waste–exergy ratio from CBP, the integration of the STP increased the system’s exergetic sustainability index (ESI) by 18%. The exergoeconomic analysis highlighted the highest cost of destruction in the combustor and evaluated the evaporator as the least exergoeconomic factor driver. Components with potential exergetic and cost destruction improvements were identified. In conclusion, integrating power generation units with CB production plants can markedly reduce thermal heat waste in the CBP and enhance integrated plant environmental performance.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/6905764","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143884232","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":"Comprehensive Safety Assessment of Hydrogen: From Production to Application in Energy Systems","authors":"Ahmed Nazmus Sakib,&nbsp;Tashfiqul Islam,&nbsp;Philip M. Resnick,&nbsp;A. K. M. Ahsanul Habib,&nbsp;Sadikur Rahman Chowdhury","doi":"10.1155/er/8857513","DOIUrl":"https://doi.org/10.1155/er/8857513","url":null,"abstract":"<div>\u0000 <p>In the quest for sustainable and clean energy alternatives to fossil fuels, hydrogen emerges as a front-runner due to its high energy yield and environmentally friendly combustion byproduct, water. This study delves into the comprehensive lifecycle of hydrogen energy, from its production through various methods, storage, and transportation, to its multifaceted applications in energy systems, with a pivotal focus on safety considerations. It meticulously examines the inherent risks associated with hydrogen, such as its propensity for embrittlement in metals and the explosive dangers it poses under certain conditions, presenting a detailed risk assessment framework. This review uniquely integrates lifecycle safety considerations across hydrogen production, storage, transportation, and application, addressing critical gaps in risk assessment frameworks, material resilience strategies, and policy standardization—an approach not yet covered in the existing literature. It highlights case studies and real-world incidents that underline the importance of rigorous safety protocols and innovative technological solutions to mitigate risks. Concluding with forward-looking recommendations, this study emphasizes the essential role of ongoing research and development in enhancing hydrogen safety mechanisms, regulatory standards, and public perception. It calls for a collaborative effort among scientists, engineers, policymakers, and the public to address the safety challenges head-on, paving the way for hydrogen to become a cornerstone of the global transition to renewable energy sources. Through this comprehensive analysis, the article contributes significantly to the academic and practical discourse on hydrogen energy, positioning safety as a critical factor in realizing hydrogen’s full potential as a sustainable energy sector.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/8857513","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143880046","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":"Exploring of Wind Energy Potential and Optimal Site Selection for Wind Energy Plants Installations in Erzurum/Turkey Based on Multicriteria Site Selection","authors":"Gökhan Şahin,&nbsp;Ahmet Koç,&nbsp;Sülem Şenyiğit Doğan,&nbsp;Sabir Rustemli,&nbsp;Wilfried G. J. H. M. van Sark","doi":"10.1155/er/2629977","DOIUrl":"https://doi.org/10.1155/er/2629977","url":null,"abstract":"<div>\u0000 <p>Wind energy is a renewable, sustainable, and localized power source. These features motivate countries to adopt wind turbines, with many nations employing incentives to enhance the installed capacity of these systems. The selection of locations for wind turbine installations is crucial for optimizing turbine performance and augmenting installed capacity. This study examined 20 distinct places in the province of Erzurum as potential locations for the development of wind power installations. This research identified prospective locations for the development of wind power facilities in Erzurum, Turkey, employing a geographic information-based multicriteria decision-making (MCDM) methodology and a geographic information system (GIS). The plan incorporated topographical, structural, climatic, and environmental factors, including wind velocity, land cover classification, gradient, closeness to land and substations, transportation networks, communities, fault lines, power grids, and erosion areas. A wind farm suitability map was created using a weighted process questionnaire and assessed criteria maps, employing the analytical hierarchy process (AHP). The result map shows that 83.052% of the total area is designated as favorable, while 15.858% is rated as most favorable. This study highlighted the erosion criterion for the first time. This investigation utilized 17 criteria. The aim is to locate a wind power facility in a more suitable site by employing these characteristics. In district-level evaluations of the wind power plant suitability map, İspir province occupies the top position.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2629977","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143875618","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}