International Journal of Energy Research最新文献

{"title":"Thermal Analysis of MHD-Modified Hybrid Nanofluid Flow Inside Convergent/Divergent Channel With Heat Generation/Absorption and Viscous-Ohmic Dissipation","authors":"Subhan Ullah,&nbsp;Obaid J. Algahtani,&nbsp;Amir Ali","doi":"10.1155/2024/3912044","DOIUrl":"https://doi.org/10.1155/2024/3912044","url":null,"abstract":"<div>\u0000 <p>Enhancing heat transfer efficiency and understanding fluid behavior in complex engineering systems is quite challenging. Here, we examine the rate of heat transfer of magnetohydrodynamic (MHD) flow of a modified hybrid nanofluid between two convergent/divergent (CD) channels, considering viscous dissipation, ohmic heating, along with heat production and absorption. The spherical form of nanoparticle provides a basis for dynamic viscosity and thermal conductivity. The transformed ordinary differential equations (ODEs) are solved numerically. The behavior of various physical parameters particularly channel angel (<i>α</i>),  magnetic parameter (<i>M</i>),  heat source (<i>H</i>_<i>s</i>), and Eckert number (<i>E</i><i>c</i>) are stimulated. It is revealed that the velocity behavior is opposite for magnetic strength while temperature increases as the <i>Ec</i> increases for both CD channels. The tetra hybrid nanofluid improves the rate of heat transfer up to 16.783% as compared to the traditional fluid.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/3912044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588176","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":"Utilising Polyester and Steel Slag-Derived Metal/Carbon Composites as Catalysts in Biodiesel Production","authors":"Sangyoon Lee,&nbsp;Minyoung Kim,&nbsp;Jee Young Kim,&nbsp;Hocheol Song,&nbsp;In-Hyun Nam,&nbsp;Eilhann E. Kwon","doi":"10.1155/2024/1925113","DOIUrl":"https://doi.org/10.1155/2024/1925113","url":null,"abstract":"<div>\u0000 <p>Synthetic textiles such as polyesters are essential for daily life. However, large-scale production generates large amounts of waste. This study introduces a new approach for valorising polyester textile waste (PTW) by transforming it into a catalyst for biodiesel production via pyrolysis. Specifically, a metal/carbon composite (PTW + steel slag [SS] composite—PSC) with enhanced catalytic properties was prepared by pyrolysing PTW with SS. The alkaline metals in SS facilitate the carbonisation of PTW via decarboxylation, resulting in a PSC rich in carbon, iron, and alkaline compounds. This composite featured mesopores that were larger than the micropores (MPs) typically found in PTW char. The use of porous material (silica) in thermally induced transesterification has been proven to be an efficient method for biodiesel production, achieving a yield of 97.20 wt.% in 1 min (faster than the 93.82 wt.% yields in 60 min observed from conventional alkali-catalysed transesterification). However, the high reaction temperature (≥ 360°C) poses economic/technical challenges. To overcome this, PSC has been employed as a catalyst in thermally induced transesterification, leveraging its mesoporous structure and high alkaline content, particularly calcium oxide. The PSC achieved a biodiesel yield of 98.10 wt.% at a markedly lower reaction temperature of 120°C within 1 min. This performance was not attainable using silica or PTW char under similar conversion conditions. These findings highlight the potential of PSC produced through the pyrolysis of PTW and SS as effective catalysts for biodiesel production. This process is a promising strategy for converting waste into valuable resources and mitigating the environmental impacts associated with polyester waste.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/1925113","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588177","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":"Pore Evolution Law and Gas Migration Characteristics of Acidified Anthracite in Liquid CO2-ECBM: An Experimental Study","authors":"Xiaojiao Cheng,&nbsp;Yanhui Xu,&nbsp;Hu Wen,&nbsp;Shixing Fan,&nbsp;Bocong Liu,&nbsp;Wen Wang","doi":"10.1155/2024/2907734","DOIUrl":"https://doi.org/10.1155/2024/2907734","url":null,"abstract":"<div>\u0000 <p>The high gas pressure, low permeability, and strong gas absorption of coal seams in China complicate gas extraction, severely restricting the efficient development of coalbed gas. Liquid CO₂ (LCO₂) has a dual effect of cracking and enhancing the permeability of coal rock, thus, enhancing gas recovery. In this study, experimental testing and comparative analyses were performed to analyze the LCO₂ acidification of antireflection coal, for which reference and variable experimental groups were designed. The acidification effect was quantitatively analyzed by examining changes in the pH value of the reaction solution, mineral content of coal, and pore structure during the experimental process. The experimental results indicated that a higher pressure resulted in a greater amount of CO₂ being dissolved and a stronger acidity of the reaction water sample. As the reaction time increased, the minerals in the coal gradually dissolved and more H⁺ ions in the solution were consumed. The calcite (carbonate) and illite (clay mineral) contents significantly decreased, which is the main reason for the change of coal pore structure. The minerals on the pore surface of coal react with (CO₂–H₂O) weak acid, which increases the development of pore branches, improves the complexity of coal pores, and roughens the pore surface. Acidification significantly increases the number of micropores (&lt;10 nm) and small pores (10–100 nm) in coal; furthermore, pore development is simple, the surface is smooth, and the pore connectivity is improved, which makes this part of pores have fractal characteristics. CO₂–H₂O–coal acidification increases the pore volume corresponding to the CO₂/CH₄ gas slippage flow in coal and strengthens the mass and energy transfer of CO₂/CH₄ in coal. CO₂ can enter more pores than CH₄ and displace the adsorbed and free CH₄ in the pores.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/2907734","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565463","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 Extension of Root Assessment Method (RAM) Under Spherical Fuzzy Framework for Optimal Selection of Electricity Production Technologies Toward Sustainability: A Case Study","authors":"Ibrahim M. Hezam,&nbsp;Ahmed M. Ali,&nbsp;Karam Sallam,&nbsp;Ibrahim A. Hameed,&nbsp;Abdelaziz Foul,&nbsp;Mohamed Abdel-Basset","doi":"10.1155/2024/7985867","DOIUrl":"https://doi.org/10.1155/2024/7985867","url":null,"abstract":"<div>\u0000 <p>This paper integrated the root assessment method (RAM) with a spherical fuzzy set (SFS) to rank the alternatives and select the best electricity production technology. The SF-Entropy is used to compute the factor’s weights, and the SF-RAM method ranks the alternatives. This study used four main factors, 29 subfactors, and 24 alternatives. The four main factors are economic, environmental, social, and political. The results show that economic factors are most important, followed by social, environmental, and political factors. The results of the SF-RAM method show that hydropower and wind onshore are the highest-rank technologies in Egypt. The sensitivity and comparative analysis are conducted in this study. The sensitivity analysis was conducted with 30 scenarios in changing factors’ weights and three scenarios in changing of expert’s weight. The sensitivity analysis results show the alternatives’ rank is stable under different scenarios. The comparative analysis was conducted using various multicriteria decision-making (MCDM) methods. The results of the comparative analysis demonstrate that the proposed methodology outperforms other MCDM approaches. This study supports governments in mitigating environmental impacts, ultimately leading to lower morbidity rates.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7985867","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565464","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":"Metaheuristic Algorithm-Based Optimal Energy Operation Scheduling and Energy System Sizing Scheme for PV-ESS Integrated Systems in South Korea","authors":"Sungwoo Park,&nbsp;Jinyeong Oh,&nbsp;Eenjun Hwang","doi":"10.1155/2024/1992135","DOIUrl":"https://doi.org/10.1155/2024/1992135","url":null,"abstract":"<div>\u0000 <p>To efficiently utilize the power generated by a photovoltaic (PV) system, integrating it with an energy storage system (ESS) is essential. Furthermore, maximizing the economic benefits of such PV-ESS integrated systems requires selecting the optimal capacity and performing optimal energy operation scheduling. Although many studies rely on rule-based energy operation scheduling, these methods prove inadequate for complex real-world scenarios. Moreover, they often focus solely on determining the ESS capacity to integrate into existing PV systems, thereby limiting the possibility of achieving optimal economic benefits. To address this issue, we propose an optimal energy operation scheduling and system sizing scheme for a PV-ESS integrated system based on metaheuristic algorithms. The proposed scheme employs a zero-shot PV power forecasting model to estimate the potential power generation from a planned PV system. A systematic analysis of the installation, operation, and maintenance costs is then incorporated into the economic analysis. We conducted extensive experiments for comparing economic benefits of various scheduling methods and capacities using real electrical load data collected from a private university in South Korea and estimated PV power data. According to the results, the most effective metaheuristic algorithm for scheduling is simulated annealing (SA). Additionally, the optimal PV system, battery, and power conversion system capacities for the university are 13,000 kW each, 10% of the PV system capacity, and 60% of the battery capacity, respectively. The estimated annual electricity tariff calculated from the data used in the experiment is $3,315,484. In contrast, SA-based scheduling in the optimal PV-ESS integrated system achieved annual economic benefits of $875,000, an improvement of approximately 7% over rule-based scheduling of $817,730.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/1992135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555506","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 Power Generation in Triboelectric Nanogenerators via Integration of Graphene Nanoplatelets and Polyvinyl Alcohol","authors":"Abdulkerim Okbaz,&nbsp;Adem Yar,&nbsp;Abdulkerim Karabiber,&nbsp;Geng-Sheng Lin,&nbsp;Zhaohui Tong","doi":"10.1155/2024/9903983","DOIUrl":"https://doi.org/10.1155/2024/9903983","url":null,"abstract":"<div>\u0000 <p>Triboelectric nanogenerators (TENGs) provide promising power supply solutions by transforming mechanical energy into electrical energy. However, enhancing electrical performance of TENGs is essential for their widespread practical applications and commercialization. In this study, we fabricated TENGs in vertical contact-separation mode using a tribopositive material—polyvinyl alcohol (PVA) slime—which is biocompatible, flexible, and wearable, decorated with graphene nanoplatelets (GnPs), and paired with tribonegative silicone. We analyzed the correlation between the electrical performance of the TENGs and the inherent triboelectric properties of the constituent material, including the evaluation of surface roughness, the measurement of the contact potential difference (CPD), and the material’s dielectric constant. The incorporation of GnPs increased the dielectric constant of the composite material and its electron-donating tendency, thus, increasing the contact potential difference. The GnPs concentration of 1 wt% was identified as the optimal value, resulting in a 42% increase in power density. The 1 wt% GnPs@PVA&amp;Silicone TENG exhibited an open-circuit voltage of 718 V and a peak power density of 15.3 W/m². This study sheds light on enhancing the energy harvesting efficiency of TENGs through the utilization of biocompatible tribopositive and tribonegative materials.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/9903983","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142525646","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":"Optimal Parameter Identification of Energy Harvesters Using Vector Impedance Quantum Genetic Algorithm: A Case Study With Current Transformer","authors":"Shiyezi Xiang,&nbsp;Lin Du,&nbsp;Huizong Yu,&nbsp;Jianhong Xiao,&nbsp;Weigen Chen,&nbsp;Fu Wan","doi":"10.1155/2024/6682333","DOIUrl":"https://doi.org/10.1155/2024/6682333","url":null,"abstract":"<div>\u0000 <p>Energy harvesting technology, as an emerging energy technology, has contributed outstandingly to the application of online monitoring sensors in power systems. The accurate parameter identification of the harvesters is crucial for their power supply applications. This work aims to investigate the parameter identification of harvesters with complex equivalent circuit models, here taking a current transformer as an example. However, previous studies focused on optimizing algorithms rather than data sources. This paper demonstrates a vector impedance quantum genetic algorithm (QGA) parameter identification method to identify the amplitude and phase information of the impedance responses. By comparing the results of the proposed method with the genetic algorithm and PSO based on impedance responses and QGA based on load resistance responses, it is proved that the proposed vector impedance QGA identification method is optimal in terms of accuracy, speed, and robustness. The root mean square errors of the output voltage and the phase difference with the primary current for the proposed method are 5.884 × 10⁻⁵ V and 4.473 × 10⁻⁴ ms. Moreover, the practical applicability of this method is validated, demonstrating its effectiveness in real-life and industrial settings. The proposed identification method in this paper changes the source data so that the sample data are small in volume and extensive in information, which enables faster and more accurate parameter identification. This study provides a new idea for parameter identification researches.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/6682333","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142525568","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":"Mitigation of High Photovoltaic Penetration Effects in Electrical Grid Systems Using a Hybrid Particle Swarm and Grey Wolf Optimization Approach","authors":"Mezigebu Getinet Yenealem","doi":"10.1155/2024/1481027","DOIUrl":"https://doi.org/10.1155/2024/1481027","url":null,"abstract":"<div>\u0000 <p>The rising integration of photovoltaic (PV) systems into electrical grids has introduced significant challenges allied with voltage stability, power quality, and grid reliability, particularly beneath high PV penetration scenarios. This work presents a hybrid optimization approach combining particle swarm optimization (PSO) and grey wolf optimization (GWO) to mitigate these challenges effectively. The hybrid PSO–GWO method is not only applied to optimize the position and sizing of PV systems, but also the configuration of grid-supportive devices like static synchronous compensators (STATCOMs), in Institute of Electrical and Electronics Institute (IEEE) 14-test bus system. The proposed hybrid system led to a 42.2% power loss reduction, from 18.5 to 10.7 MW effectively enhancing efficiency of the grid, improves voltage profiles, all bus voltages maintained with in the acceptable range of 0.95–1.05 p.u. The study also identified optimal locations for PV units, with placements at bus 3, 6, and 9, where PV sizes were adjusted to 10, 12, and 8 MW, respectively. Additionally, the optimal placement of STATCOMs at bus 4, 7, and 10 provided reactive power support of up to 9 MVAR, further enhancing system stability. The findings suggest that the hybrid PSO–GWO optimization technique is a promising tool for managing the complexities of high PV penetration in modern electrical grids, ensuring proficient and reliable grid operation.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/1481027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142525318","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":"Combination of Physics-Based Model and Artificial Intelligence for Rapid Simulation and Optimization of Dark Fermentative Hydrogen Production From Water Hyacinth","authors":"Phan Khanh Thinh Nguyen,&nbsp;Thi Thu Ha Tran,&nbsp;Tuan Loi Nguyen","doi":"10.1155/2024/5630435","DOIUrl":"https://doi.org/10.1155/2024/5630435","url":null,"abstract":"<div>\u0000 <p>Dark fermentative hydrogen (H₂) production from water hyacinth (WH) is considered a potentially sustainable process that helps minimize this weed’s harmful effects on the ecosystem and dependence on fossil fuels. To create a quick and precise tool for simulating and optimizing this process, this study applied the combination of the physics-based model and artificial intelligence approaches for the first time. The physics-based model was used as a computational experimental dataset generator to save time and cost in acquiring experimental data. Such a synthetic dataset was used to train the artificial neural network (ANN) model, which can predict the performance of dark fermentation fed with water hyacinth (DF@WH) in a fraction of the time. The particle swarm optimization (PSO) algorithm was then integrated to identify the ideal conditions for DF@WH. H₂ productivity and total energy recovery were selected as objectives based on basic operating parameters such as substrate concentration, initial pH, temperature, and operating time. The optimization results revealed that the maximum values of H₂ productivity (i.e., the maximum yield of 266.8 mL/g-TS and the maximum rate of 80.5 mL/L/h) and energy efficiency (i.e., 11.4%) cannot be achieved simultaneously under a specific optimal condition. Instead, when these targets were considered equally important, the balance optimal condition was determined at a substrate concentration of 8.9 g-TS/L, an initial pH of 6.5, a temperature of 33.9°C, and an operating time of 28.2 h. Under such conditions, H₂ productivity can be achieved with a yield of 200.2 mL/g-TS at a production rate of 62.9 mL/L/h and a total energy recovery of 11.0%.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/5630435","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142525589","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":"Electrochemically Preplated Lithium on Silver Nanoparticle-Decorated Three-Dimensional Vertically Aligned Graphene Foam for Rechargeable Lithium Batteries","authors":"Hyun Jung Shin,&nbsp;Sangbaek Park,&nbsp;Dong-Wan Kim","doi":"10.1155/2024/3530330","DOIUrl":"https://doi.org/10.1155/2024/3530330","url":null,"abstract":"<div>\u0000 <p>Graphene-based materials, which exhibit large surface areas and superior electrical properties, are promising materials as anodes in lithium-ion batteries (LIBs). However, the formation of a solid electrolyte interphase (SEI) on the large surfaces of these electrodes causes the loss of active lithium, leading to a severe reduction in coulombic efficiency and cycle retention. In this study, we combined an electrochemical lithium deposition (ELD) strategy, wherein active lithium was inserted into an electrode to minimize lithium loss during cycling, with the use of a vertically aligned three-dimensional (3D) graphene foam. This foam, which was created via freeze-casting, facilitated uniform lithium distribution during ELD, enhancing active lithium utilization. Consequently, the lithium preplated vertically aligned graphene foam anode could improve charge transfer and stabilize the SEI. It exhibited a superior cycle retention of 86% at a current density of 0.5 C for 200 cycles in LIBs, which is superior to that of preplated film-type anodes and lithium foils. Moreover, it enabled the easy infiltration of polymer electrolyte through aligned graphene sheets while maintaining its original cell performance with a liquid electrolyte. Furthermore, it exhibited a higher discharge capacity than that of lithium foil anodes with the same negative/positive ratio in high-areal-capacity lithium–sulfur batteries. Therefore, this paper indicates the potential of preplated vertically aligned graphene foam as a high safety, high-areal-capacity anode for various next-generation rechargeable lithium batteries.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":null,"pages":null},"PeriodicalIF":4.3,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/3530330","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142525588","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}