International Journal of Energy Research最新文献

{"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}

{"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}