International Journal of Energy Research最新文献

{"title":"Techno-Economic Design of a Hybrid Photovoltaic–Wind System for a Residential Microgrid Considering Uncertainties Using Dynamic Parameters Bald Eagle Algorithm","authors":"Mehrdad Ahmadi Kamarposhti,&nbsp;Hassan Shokouhandeh,&nbsp;Rachid Outbib,&nbsp;Ilhami Colak,&nbsp;El Manaa Barhoumi","doi":"10.1155/er/5413946","DOIUrl":"https://doi.org/10.1155/er/5413946","url":null,"abstract":"<div>\u0000 <p>This paper presents a probabilistic cost-based model for grid-connected photovoltaic (PV)–wind hybrid system design, employing probability density functions (PDFs) and Monte Carlo simulation (MCS) to address renewable generation and load demand uncertainties. The proposed scenario-based approach features an innovative objective function incorporating weighted scenario costs, allowing controlled load shedding through energy not supplied (ENS) penalties while enforcing system reliability via a loss of power supply probability (LPSP) constraint. For optimization, we develop a dynamic parameter bald eagle search (DP-BES) algorithm, demonstrating through MATLAB simulations its superior performance over Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO) methods, with the hybrid PV–wind configuration achieving maximum cost reduction (41%) compared to standalone PV (33%) or wind (25%) systems.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5413946","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666400","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":"Metal-Organic Frameworks Coated Cellulose Nanofibers for Localized Carbon Dioxide Capture","authors":"Nasir Shezad,&nbsp;Pawan Kumar,&nbsp;Alok Patel,&nbsp;Leonidas Matsakas,&nbsp;Farid Akhtar","doi":"10.1155/er/9924588","DOIUrl":"https://doi.org/10.1155/er/9924588","url":null,"abstract":"<div>\u0000 <p>The consequences of global warming due to increasing levels of greenhouse gas emissions stress the need to develop carbon capture technologies expeditiously. Metal-organic frameworks (MOFs) have been proven to be effective carbon dioxide (CO₂) sorbents, but challenges lie in their integration into practical applications owing to the hurdles in processing the powder MOFs into usable structures. Herein, the Cu-MOFs nanocrystals were in situ grown over different cellulose substrates, including bacterial cellulose nanofibers lamellas (BCNFLs) and wood-derived cellulose nanofibers (WCNFs). The successfully prepared sorbents were evaluated for CO₂ capture applications, along with their kinetic and diffusion dynamics. The loading of MOFs nanoparticles was confirmed via FESEM, showing the interconnected network of cellulose nanofibers (CNFs) and interwoven MOFs particles. The surface area and porosity of the samples, analyzed by the N₂ sorption method, were proportional to the MOFs in the sorbents. The MOFs/BCNFLs and MOFs/WCNFs composites demonstrated CO₂ uptake of approximately 1 and 1.19 mmol/g, respectively, and maintained stability over numerous cycles, highlighting the robustness of the developed structures. The CO₂ sorption isotherms were explained by the Langmuir–Freundlich model, accounting for surface heterogeneity, and exhibited a selectivity (<span></span><math></math>) of 49 with a heat of adsorption of 27 kJ/mol. The MOFs/BCNFLs exhibited 2.2 times higher sorption kinetics and a 25% greater diffusion coefficient than WCNFs, attributed to the thin MOFs layer that minimized mass transport limitations. Our findings underscore the significance of structural optimization and the potential of cellulose nanofiber-coated MOFs for practical carbon capture applications.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9924588","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144673083","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":"Assessing the Performance of Point and Two-Point Kinetics Models in Simulating the Control Rod Drop Accident in VVER-1000 Reactors","authors":"Seyed Mohammad Hossein Mousakazemi","doi":"10.1155/er/5547285","DOIUrl":"https://doi.org/10.1155/er/5547285","url":null,"abstract":"<div>\u0000 <p>Reactivity-initiated accidents (RIAs), such as the control rod drop accident (CRDA), are classified as design-basis accidents (DBAs) in the final safety analysis report (FSAR) of a nuclear power plant (NPP), and investigating these events is crucial. Therefore, point kinetics (PK) and two-point kinetics (2PK) models of a real VVER-1000 reactor have been simulated and evaluated to assess their ability to reproduce CRDA dynamics. Additionally, the simulation results of these two models have been validated against the FSAR data for a rapid-transient CRDA to examine various dynamic parameters. The reactor model was simulated in MATLAB Simulink. The model results show small deviations compared to the FSAR. Therefore, a PK model provides a reasonable degree of accuracy in the evaluation of such fast-paced incidents.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5547285","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666596","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":"Performance Enhancement of Hybrid Energy Storage System for Electric Vehicle Using Intelligent-Based Controller","authors":"Mohini Gunjal,&nbsp;Lini Mathew,&nbsp;Shimi Sudha Letha,&nbsp;Farhad Ilahi Bakhsh,&nbsp;Md. Rasidul Islam","doi":"10.1155/er/2892514","DOIUrl":"https://doi.org/10.1155/er/2892514","url":null,"abstract":"<div>\u0000 <p>Electric vehicles (EVs) are becoming increasingly popular, but their widespread adoption is still limited by issues such as short battery life and limited driving range. To address these challenges, this study proposes an intelligent current management strategy using a battery/supercapacitor hybrid energy storage system (HESS). The goal is to optimize current distribution, extend battery life, and improve overall energy efficiency. An algorithm is developed and tested using a hardware-in-the-loop (HIL) emulation platform. Two intelligent controllers—based on artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS)—are designed and compared with a conventional rule-based controller and an EV system without a supercapacitor (SC). The ANN and ANFIS controllers are trained using data from the rule-based controller. The results show that the intelligent controllers, especially the ANFIS-based controller, significantly improve battery capacity reduction and energy management. In the Federal Test Procedure 75 (FTP-75) driving cycle, the ANFIS controller improved battery capacity by 13.27% at the 5000th cycle. In the European Driving Cycle (ECE-15) cycle, the improvement was 3.05%. For the Extra-Urban Driving Cycle (EUDC) cycle, the EV without a SC experienced 100% battery capacity loss by the 2000th cycle, while the ANFIS controller reduced this loss to 62.06% at the 5000th cycle. These findings confirm that the proposed ANFIS-based controller is the most effective in preserving battery life and enhancing driving range. This approach offers a practical and efficient solution to key limitations in EV performance, contributing to the development of more reliable and longer-lasting EVs.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/2892514","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666598","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":"Impact of Phosphide–Phosphate Ratio on NiCoP Catalysts for Hydrogen Evolution in Anion Exchange Membrane Water Electrolysis","authors":"Taeyoung Kim,&nbsp;Kyeong-Rim Yeo,&nbsp;Hoyoung Kim,&nbsp;Jinwoo Lee,&nbsp;Soo-Kil Kim","doi":"10.1155/er/6685212","DOIUrl":"https://doi.org/10.1155/er/6685212","url":null,"abstract":"<div>\u0000 <p>Alkaline and anion exchange membrane water electrolysis (AEMWE) presents a promising approach for hydrogen production. However, the slow kinetics of the alkaline hydrogen evolution reaction (HER) remains a significant challenge. This study aimed to enhance HER activity by optimizing transition metal-phosphorus compound catalysts, including Ni, Co, NiCo, NiP, CoP, and NiCoP. Their surface structure, crystallinity, electrochemical properties, and HER performance were meticulously studied. Among the catalysts, Ni₂₈Co₆₂P₁₀ exhibited exceptional HER performance, achieving a low overpotential of 48 mV at a current density of −10 mA cm^–2 in 1 M KOH. X-ray photoelectron spectroscopy analysis revealed that an optimal 1:1 balance of phosphate to phosphide is critical for achieving efficient HER. These findings emphasize the importance of balancing phosphorus species for optimal alkaline HER catalysis. Moreover, Ni₂₈Co₆₂P₁₀ demonstrated excellent durability, maintaining high performance after 5000 cycles. In AEMWE single-cell tests, the catalyst achieved a cell voltage of 1.88 V at 1 A cm^–2, surpassing the performance of Ni/Co-based catalysts from previous studies. The NiCoP-based catalysts in this study presented considerable promise for AEMWE systems, paving the way to the development of more efficient and durable catalysts for hydrogen production and advancing hydrogen-based renewable energy technologies.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/6685212","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666597","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":"The Carbon Border Adjustment Mechanism as a Trade Shifter: GTAP Simulations of China–EU Trade Response","authors":"Yan Li,&nbsp;Tian-tian Feng,&nbsp;Jia-jie Kong,&nbsp;Xian-yue Shen","doi":"10.1155/er/5520202","DOIUrl":"https://doi.org/10.1155/er/5520202","url":null,"abstract":"<div>\u0000 <p>Amid global climate challenges, the European Union’s (EU) Carbon Border Adjustment Mechanism (CBAM) raises concerns over trade competitiveness and carbon leakage. This study integrates input–output theory and a recursively dynamic GTAP model, utilizing the 2020 Environmental Extended Input–Output Table and GTAP 11 database, to quantify direct and indirect carbon emissions across CBAM-covered sectors. Innovatively incorporating dynamic updates and multidimensional scenarios (varying CBAM tax rates, Scope 1/2 emissions), we assess CBAM’s impacts on China–EU trade. The analysis reveals that CBAM has a negative impact on Chinese export commodity prices, export volumes, and trade conditions, with a higher tax rate leading to a more significant adverse effect on Chinese export trade. CBAM significantly reduces China’s export prices (−6.56 × 10⁻⁷% under a $424/ton tax) and volumes (−12.5% decline), while marginally improving EU export prices (up to 1.14 × 10⁻⁵%) but exacerbating global trade contraction (−50% for non-EU regions). Sectoral heterogeneity highlights vulnerabilities in energy-intensive industries. Findings underscore CBAM’s asymmetric trade effects, urging policy coordination to mitigate adverse global impacts.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/5520202","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144672828","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":"Combustion and Emission Characteristics of NH3/H2/Air Premixed Gas Under Wall Effects","authors":"Yuanming Song,&nbsp;Jianfeng Pan,&nbsp;Feiyang Li,&nbsp;Muhammad Nauman,&nbsp;Baowei Fan,&nbsp;Wenming Yang","doi":"10.1155/er/9987246","DOIUrl":"https://doi.org/10.1155/er/9987246","url":null,"abstract":"<div>\u0000 <p>Zero-carbon fuels have garnered significant attention in the context of carbon neutrality and peak carbon emissions. A numerical model utilizing computational fluid dynamics (CFDs) software integrated with detailed chemical reaction mechanisms is established to investigate the premixed combustion process of ammonia/hydrogen/air under wall effects and it is validated by comparing experimental results. As the equivalence ratio increases from 0.6 to 1.2, the peak temperature at the wall stagnation point rises. At the same time, the combustion reaction intensifies, and the higher temperature leads to an increase in the concentration of OH radicals near the wall. As the hydrogen blending ratio increases from 0.5 to 0.8, the overall peak temperature increases. The increase in the hydrogen blending ratio in the fuel enhances the intensity of combustion, resulting in a decrease in the height of the premixed cone, and the rise in temperature weakens the inhibitory effect of wall heat dissipation on nitric oxide (NO) generation, resulting in an increase in NO emissions near the wall.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/9987246","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144673082","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":"Full-Range Drift–Flux Correlation for Upward Cocurrent Two-Phase Flows in Vertical Pipes","authors":"Takashi Hibiki,&nbsp;Chuanshuai Dong,&nbsp;Naofumi Tsukamoto","doi":"10.1155/er/6193526","DOIUrl":"https://doi.org/10.1155/er/6193526","url":null,"abstract":"<div>\u0000 <p>In nuclear thermal–hydraulic analysis, the void fraction prediction for upward two-phase flows in vertical pipes is essential. The two-fluid model is used as a platform for one-dimensional (One-D) nuclear thermal–hydraulic system analysis codes since it can treat the kinematic and thermal nonequilibrium between phases through interfacial transfer terms. Precise modeling of the area-averaged interfacial drag force in the interfacial momentum transfer term is essential in predicting void fractions accurately. The drift–flux model, which treats the gas–liquid mixture as a pseudo-single fluid yet allows slip between liquid and gas, is widely used in predicting the area-averaged interfacial drag force in two-fluid model-based codes. In the drift–flux model, the distribution parameter and drift velocity are two critical parameters in formulating the area-averaged interfacial drag force. In other applications of the drift–flux model, the one-D drift–flux model is utilized as a simple algebraic tool to predict a one-D void fraction directly from boundary conditions, such as superficial gas and liquid velocities. This study analytically developed a full-range drift–flux correlation for the distribution parameter and drift velocity, which is applicable to a void fraction from 0 to 1 for upward two-phase flows in vertical pipes. First, the critical area-averaged void fraction at the onset of the transition to separated two-phase flows was estimated by considering the similar distributions of void fraction and mixture volumetric flux. Then, the constitutive equations of distribution parameter and drift velocity (or drift–flux correlation) for upward cocurrent two-phase flows, including pure dispersed two-phase flows, transition two-phase flows, and separated two-phase flows, were developed. To validate the new correlation, 419 experimentally obtained void fractions for upward two-phase flows in vertical pipes were collected from nine sources. The comparison between the experimental results and the void fractions calculated by the newly developed full-range drift–flux correlation indicated that the correlation achieved superior prediction performance to that of the existing drift–flux correlations, and it achieved the mean relative deviation and mean absolute relative deviation of − 0.686% and 6.18%, respectively. The validated range of the proposed correlation is: 0.6 cm ≤ <i>D</i> ≤ 6.7 cm, 0.0338 m/s ≤ 〈<i>j</i>_<i>g</i>〉 ≤ 159 m/s, and 0.0226 m/s ≤ 〈<i>j</i>_<i>f</i>〉 ≤ 8.46 m/s.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/6193526","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657734","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":"Investigating an Energy Efficient Polyacrylonitrile-Based Carbon Coating on the Performance of Ni-Rich NMC Cathode","authors":"Seyed Ali Mirabbasi,&nbsp;Zahra Bahmaei,&nbsp;Saeed Bahadorikhalili,&nbsp;Sadegh Ghorbanzadeh,&nbsp;Zeinab Sanaee,&nbsp;Wei Zhang","doi":"10.1155/er/8863976","DOIUrl":"https://doi.org/10.1155/er/8863976","url":null,"abstract":"<div>\u0000 <p>Due to its high specific capacity, nickel (Ni)-rich nickel–manganese–cobalt (NMC) is considered one of the most promising cathode materials for lithium-ion batteries (LIBs). However, its use is limited by poor electrical conductivity and stability issues, such as structural degradation and capacity fading during prolonged cycling. Carbon coating is an effective strategy to enhance the performance of high-Ni NMCs. This study introduces the use of polyacrylonitrile (PAN), a widely utilized industrial material, as a carbon precursor in a facile and energy-efficient coating process. The process involves immersing the NMC cathode material in a solution of PAN in dimethylformamide (DMF), followed by drying at 100°C, and annealing at 260°C for 4 h in air, which is performed at considerably lower temperatures compared to similar reports. The LIB half-cell, utilizing the cathode fabricated from the resulting carbon-coated NMC, demonstrates an average specific capacity of 150.46 mAh g⁻¹ over 130 cycles, representing a 7% improvement compared to uncoated material. The choice of materials and process conditions makes this approach scalable, cost-effective, and time-efficient, eliminating the need for high-temperature annealing steps while enhancing the performance of Ni-rich NMC cathode materials.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/8863976","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657692","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":"Deep Learning-Enabled Digital Twins for Prosumers: A Holistic Energy Management Framework for Smart Grids Using Deep Reinforcement Learning and Big Data Analytics","authors":"Sahibzada Muhammad Ali,&nbsp;Bilal Khan,&nbsp;Zahid Ullah","doi":"10.1155/er/6618907","DOIUrl":"https://doi.org/10.1155/er/6618907","url":null,"abstract":"<div>\u0000 <p>The increasing integration of renewables and electric vehicles into the grid introduces complexities for decentralized prosumers, necessitating advanced energy management systems. A new energy management framework is presented in this article that combines deep learning-enabled digital twins with reinforcement learning (RL) and big data analytics to optimize the energy flow among prosumers. An IEEE 30-bus system simulated energy transactions for variable renewable generation and battery energy storage system (BESS) to represent the power grid. The RL algorithm efficiently coordinates BESS’s charging and discharging cycles to ensure optimal energy utilization while maintaining power grid stability. The proposed framework forecasts supply and demand, enabling proactive energy transactions that enhance grid stability, reduce costs, and demonstrate scalability and real-time adaptability. Comparative analysis shows the proposed framework outperforms traditional methods by (a) maximizing utilization of renewable energy, (b) minimizing peak-hour grid reliance, (c) maintaining grid stability (grid stability index more than 0.905) with more than 60% RES penetration, (d) achieving near-perfect economic efficiency (cost saving ratio equal to 0.9968), and (e) preserving battery health via optimal cycling.</p>\u0000 </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/6618907","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144647304","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}