Energy Conversion and Management-X最新文献

{"title":"On the critical battery electrochemical parameters across different phases of a single discharge process using a transformer framework","authors":"Chi-Jyun Ko,&nbsp;Cheng-Hsi Tien,&nbsp;Kuo-Ching Chen,&nbsp;Chih-Hung Chen","doi":"10.1016/j.ecmx.2026.101629","DOIUrl":"10.1016/j.ecmx.2026.101629","url":null,"abstract":"<div><div>Accurate characterization of electrochemical parameters is critical for interpreting the time- and frequency-domain responses of energy conversion devices and for enabling precise, efficient, and controllable management. In the context of lithium-ion batteries, this study introduces a deep learning (DL) framework using electrochemically derived simulation data to predict discharge curves and to distinguish the dominant internal electrochemical parameters for each of the three constant-current stages. Extracting attention weights from the transformer encoder helps identify the most influential parameters at each stage. Our study reveals subtle variations in the key electrochemical parameters that control discharge across different time-evolution stages. During the early stage of discharge, the behavior is mainly governed by positive-electrode parameters, such as the volume fraction of active material and the maximum concentration in the positive electrode. As the discharge progresses, however, negative-electrode parameters—particularly, the volume fraction of active material in the negative electrode, become increasingly influential. These outcomes are further verified through two additional operations: Sobol-based global sensitivity analysis and Shapley additive explanations. This DL framework reproduces the time-dependent battery behavior during a single discharge while elucidating the relationship between electrochemical parameters and battery response, thereby enabling efficient parameter assessment or identification and rational voltage-window selection for battery applications.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101629"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A quantum inspired machine learning agent for optimal unified control of battery energy storage systems in renewable microgrids","authors":"Arun Kumar Rawat,&nbsp;Subhash Chandra,&nbsp;Vinay Kumar Deolia","doi":"10.1016/j.ecmx.2026.101862","DOIUrl":"10.1016/j.ecmx.2026.101862","url":null,"abstract":"<div><div>This paper introduces quantum entangled reservoir computing (QERC), a unified glass box control paradigm for battery energy storage systems (BESS) that replaces opaque black box learning with a transparent, physics inspired framework. Unlike randomly initialized neural networks or conventional Echo state networks, QERC employs a fixed complex valued reservoir constructed using unitary entanglement matrices, ensuring inherent Lyapunov stability and energy conserving dynamic behaviour analogous to quantum chaotic systems. Implemented in MATLAB/Simulink on a heavily modified IEEE 14-bus renewable microgrid, a rigorous benchmark selected to validate topological robustness under severe solar, wind intermittency and non-linear dynamic load changes, the proposed architecture simultaneously addresses five coupled objectives, voltage regulation, frequency support, state of charge (SOC) estimation, harmonic mitigation, and battery loss minimization, within a single coherent computational substrate, thereby avoiding fragmented cascaded control loops. By leveraging high bandwidth internal dynamics and deterministic 10 μs computational latency, QERC operates as an embedded virtual active power filter (V-APF), reducing grid total harmonic distortion (THD) from above 5% to below 3.5% under dynamic loading conditions. A regularized single shot ridge regression training strategy penalizes high frequency control jitter, suppressing battery micro-cycling and yielding approximately 35.9% reduction in battery operational losses. Performance evaluation demonstrates voltage regulation within ± 0.028p.u, frequency containment within ± 0.14 Hz, and highly accurate SOC estimation with 0.21% RMSE, by consistently outperforming a comprehensive suite of state of art baselines, spanning predictive (MPC), heuristic (FA-PSO), classical (VSG), and deep learning (RL) paradigms. These results validate the broad applicability of QERC. These results establish QERC as interpretable and computationally efficient control framework that bridges high performance AI methods with the stringent stability and real-time requirements of modern power microgrids.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101862"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147858629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Techno-economic feasibility and performance evaluation of replacing diglycolamine (DGA) with diethanolamine (DEA) in a dual-pressure gas sweetening unit: A comprehensive field case study","authors":"Mahdi Garousi ,&nbsp;Marzie Farjami ,&nbsp;Hasan Ebrahimi","doi":"10.1016/j.ecmx.2026.101813","DOIUrl":"10.1016/j.ecmx.2026.101813","url":null,"abstract":"<div><div>The removal of hydrogen sulfide (H₂S) from refinery gas streams is essential for operational safety, environmental compliance, and equipment integrity. This study provides a comprehensive technical and economic evaluation of replacing diglycolamine (DGA) with diethanolamine (DEA) in a dual-pressure gas sweetening unit at the Tehran Oil Refining Company. Through a carefully managed solvent transition and continuous monitoring, DEA demonstrated superior performance. The use of DEA achieved a significant reduction in outlet H₂S concentration, particularly in the low-pressure absorber, and simultaneously reduced steam consumption in the stripper reboiler by 9.6%. A key finding was the complete elimination of the energy-intensive reclaimer unit, which resulted in 100% energy savings for that reclaimer unit compared to its operation with DGA. Economically, the switch to DEA yielded approximately USD 152,000 in annual solvent cost savings and contributed to total annual savings exceeding USD 225,000. Additionally, DEA’s reliable domestic availability in Iran mitigates supply chain risks, establishing DEA as a technically superior, economically advantageous, and strategically resilient alternative to DGA for refinery gas sweetening applications.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101813"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147802429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic decarbonization of flared gas: a quantitative framework for Nigeria’s emerging blue and green hydrogen economy","authors":"Mustapha Gidado Jegawa ,&nbsp;Bolade Oyeyinka Agboola ,&nbsp;Isioma Anwuli Ibewuike ,&nbsp;Suleiman Mohammed Gidado ,&nbsp;Misbahu Ladan Mohammed","doi":"10.1016/j.ecmx.2026.101655","DOIUrl":"10.1016/j.ecmx.2026.101655","url":null,"abstract":"<div><div>This study evaluates Nigeria’s hydrogen production potential through a quantitative framework integrating mass–energy balances, resource assessments, and techno-economic modeling across blue, green, and biomass-based pathways. Analysis of southern flared natural gas totaling 1.8 billion scf/day indicates a base-case blue hydrogen yield of 2.86 Mt H₂/year. When coupled with carbon capture and storage (CCS), this pathway delivers a net CO₂ reduction of 26.77 Mt CO₂/year and avoids 10.67 Mt CH₄/year of methane emissions, corresponding to a cumulative climate mitigation potential of approximately 344.77 Mt CO₂-eq/year. Northern renewable resources and agricultural residues provide additional base-case hydrogen capacities of 6.56 Mt H₂/year and 8.25 Mt H₂/year, respectively, with the biomass pathway offering a route toward net-negative emissions. Collectively, these pathways yield a national base-case hydrogen potential of 17.67 Mt H₂/year. By leveraging Nigeria’s estimated 10,700 Gt CO₂ geological storage capacity, extensive gas infrastructure, and high flaring baselines, the nation is positioned to capitalize on this resource wealth. The study synthesizes these findings into a phased national hydrogen strategy aligned with the Petroleum Industry Act (PIA) 2021 and the National Carbon Market Framework (NCMF) 2025, positioning hydrogen as a central pillar for emissions abatement, energy security, and Nigeria’s emergence as a regional hydrogen economy leader.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101655"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart hybrid microgrid for island electrification: integrated techno-economic optimization, dynamic stability, and demand response","authors":"Md. Esmay Azam ,&nbsp;Md. Feroz Ali ,&nbsp;Md Abdur Razzak","doi":"10.1016/j.ecmx.2026.101656","DOIUrl":"10.1016/j.ecmx.2026.101656","url":null,"abstract":"<div><div>Remote island regions in Bangladesh continue to experience unreliable and costly electricity supply due to geographical isolation, weak grid infrastructure, and dependence on fossil fuels. This study addresses this challenge by developing a smart hybrid microgrid for Hatiya Island that integrates solar photovoltaic (PV), wind turbines (PV), battery energy storage system (BESS), and grid support to achieve cost-effective, stable, and low-carbon electrification. The proposed system is optimized using HOMER Pro (v3.14.2) through offline techno-economic optimization to determine the least-cost component sizing and system configuration based on Net Present Cost (NPC) and Cost of Energy (COE). The optimal configuration obtained from HOMER Pro is subsequently evaluated using MATLAB-based simulations to assess dynamic voltage and frequency stability under renewable intermittency and load variations. In addition, a demand response strategy is analysed to enhance load flexibility, and a multi-parameter sensitivity analysis is performed to examine the influence of key meteorological, economic, and grid reliability parameters on system performance. The optimal configuration achieves a low cost of energy (COE) of 0.0214 $/kWh and a net present cost (NPC) of 30,808 $, with a capital investment of 29,303 $ and annual operating cost of 112.24 $. The system attains a 56.3% reduction in CO₂ emissions, lowering annual emissions to 16,583 kg, while demand response implementation results in annual energy savings of 3,338.36 kWh. Dynamic simulations confirm stable voltage and frequency performance under varying operating conditions. These results demonstrate that the proposed hybrid microgrid offers a reliable, economically viable, and environmentally sustainable electrification solution for remote island communities, providing a scalable framework for renewable-based power systems in coastal regions of Bangladesh.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101656"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing demand-side energy management for stand-alone wind-solar microgrids in rural settlements: A case study for nomadic Yurt in Kazakhstan","authors":"Abdul Moeed Khan ,&nbsp;Ahmad Bala Alhassan ,&nbsp;Anvar Kolumbetov ,&nbsp;Auwal Haruna ,&nbsp;Vijayakumar Gali ,&nbsp;Nguyen Gia Minh Thao ,&nbsp;Ton Duc Do","doi":"10.1016/j.ecmx.2026.101587","DOIUrl":"10.1016/j.ecmx.2026.101587","url":null,"abstract":"<div><div>Nomadic communities often reside in remote regions requiring extensive transmission infrastructure, which is costly and contributes to higher greenhouse gas emissions. This study proposes a hybrid microgrid (MG) for the Shell Yurt Center, a representative nomadic dwelling in Kazakhstan. The system integrates renewable energy sources (RESs), including photovoltaic (PV), wind turbine (WT), and battery energy storage systems (BESS), to deliver a reliable and cost-effective energy supply. An analysis of a home energy management system (HEMS) is conducted using real-time data of the Yurt to support efficient demand-side management (DSM). The HEMS is designed to enhance energy efficiency and reduce overall energy costs through the smart scheduling of household appliances. Dynamic Programming (DP) and Genetic Algorithm (GA) are applied to manage energy usage under an unscheduled electricity pricing rate of $0.583/kWh as a baseline without using any optimization. Three scenarios are examined: Case 1 (minimal appliances with normal usage), Case 2 (maximum appliances with average usage), and Case 3 (maximum appliances with extreme usage). GA consistently outperforms DP in Case 1, resulting in reduced net present costs (NPC), levelized cost of electricity (LCOE), and lower maintenance costs. In Case 2, DP has a slight edge in NPC and LCOE, but GA maintains favorable maintenance costs. Case 3 shows that GA achieves the lowest NPC ($42,028), LCOE ($0.396/kWh), and maintenance costs ($466/year). Overall, the study establishes an optimal scheduling framework for renewable energy (RE) utilization for nomadic dwellers using a fully functioning MG complex.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101587"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of dominant tars production kinetics at low reaction temperature using small scale downdraft gasifier with wood pellet and reaction kinetics simulation","authors":"Hiroshi Enomoto","doi":"10.1016/j.ecmx.2026.101572","DOIUrl":"10.1016/j.ecmx.2026.101572","url":null,"abstract":"<div><div>Wood biomass with low abundance density is best utilized in small-capacity processing equipment. In small-capacity pyrolysis equipment, as the impact of heat loss is significant, the effect of low-temperature reactions is large. At low temperatures, the composition of tar, which causes mechanical damage, differs greatly. However, there are few cases in which the impact of these low-temperature reactions has been properly considered based on results obtained under realistic operating conditions. Therefore, in this paper, the main components of tar (acetic acid, benzene, phenol, and naphthalene) were measured experimentally and compared with the calculation results of a conventional kinetic model using CHEMKIN with the CRECK model applied. For the experiment, a self-made downdraft gasifier (self-heating type, without special insulation) using commercially available wood pellets (log cedar) was used. The results showed a significant difference between the experimental and calculated values for benzene density in the low reaction temperature range below 800 °C. This low-density phenomenon should be caused by 1) low reaction temperature, 2) short residence time, and 3) insufficient low-temperature reaction kinetics model.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101572"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146080382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Envelopment analysis applications for energy efficiency in power generation: A comprehensive review with bibliometric and content analysis","authors":"Syarifa Hanoum ,&nbsp;Mahmood Shubbak ,&nbsp;Dewie Saktia Ardiantono ,&nbsp;Jaroslaw Korpysa","doi":"10.1016/j.ecmx.2026.101590","DOIUrl":"10.1016/j.ecmx.2026.101590","url":null,"abstract":"<div><div>As global electricity demand continues to rise, concerns over greenhouse gas emissions and climate change have intensified, making sustainability and efficiency in power generation critical priorities. Data Envelopment Analysis (DEA) has emerged as a powerful tool for assessing and improving energy efficiency while integrating environmental considerations. This study provides a comprehensive review of DEA applications in power generation, employing bibliometric and content analysis to identify key research trends, methodological advancements, and influential contributions. Analyzing 461 publications, our findings reveal DEA’s growing role in balancing efficiency with sustainability. The review highlights significant progress in advanced DEA models (including Network DEA, Fuzzy DEA, and hybrid approaches with methods such as the Malmquist Index and Stochastic Frontier Analysis) that enhance eco-efficiency assessment and inform sustainable energy transitions. International collaborations, particularly those led by China and the United States, underscore the global momentum in applying DEA to support emissions reduction, renewable energy integration, and carbon tax policy. Beyond efficiency benchmarking, DEA has evolved into a decision-support framework that links operational performance with broader sustainability outcomes, guiding policy interventions such as carbon pricing and renewable subsidy allocation. While sustainability remains a central focus, there is a need to explore the integration of DEA with emerging technologies, such as artificial intelligence and machine learning, to enhance predictive capabilities and efficiency assessments.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101590"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergistic integration of phase change materials in solar stills for continuous and high-efficiency desalination: a comprehensive review","authors":"Farhan Lafta Rashid ,&nbsp;Karrar A. Hammoodi ,&nbsp;Najah M.L. Al Maimuri ,&nbsp;Mushtaq K. Abdalrahem ,&nbsp;Saif Ali Kadhim ,&nbsp;Ali M. Ashour ,&nbsp;Abdallah Bouabidi ,&nbsp;Hayder I. Mohammed ,&nbsp;Arman Ameen","doi":"10.1016/j.ecmx.2026.101548","DOIUrl":"10.1016/j.ecmx.2026.101548","url":null,"abstract":"<div><div>The underlying challenge of solar intermittency still undermines the operational lifetime and freshwater output of typical solar desalination systems and, hence, this extensive review was carried out to summarize recent efforts (2020–2025) directed at the incorporation of PCM (and specifically, NEPCM) into solar distillation-based systems. Using a systematic thematic approach, the literature selected for review was classified into four macro areas, NEPCM-based improvements, hybrid solar–thermal systems, advanced absorber and condenser designs and PCM materials, with performance data being extracted and reported to evaluate their synergistic contribution towards desalination efficiency. The integrated results show that NEPCM integration can lead to more than 124.2% increase in freshwater productivity, over 82% thermal efficiency and remarkable nocturnal distillate and these values are achievable by the constant operation of a solar still for full day using this strategy. Economic studies also indicate that the proposed optimal solar stills incorporating PCMs deliver the lowest water production cost to date of ∼$0.0082/L and substantially shortened payback periods as low as 25 days, whilst environmental scenarios reveal CO₂ mitigation potentials in excess of 34 tons per year. In summary, this review represents a shift in the design paradigm of sustainable desalination, suggesting orchestrated PCM use as a fundamental breakthrough to realize an affordable water generation solution that operates continually in less developed regions plagued by poor energy infrastructure. These results together narrow the bridge between emerging demonstration and scale device for desalination practice, providing a powerful paradigm to tackle worldwide water shortage with advanced thermal energy storage assembly.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101548"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146039771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stochastic scheduling of a sector-coupled virtual power plant integrating wind generation and thermal energy storage","authors":"Đorđe Lazović,&nbsp;Željko Đurišić","doi":"10.1016/j.ecmx.2026.101638","DOIUrl":"10.1016/j.ecmx.2026.101638","url":null,"abstract":"<div><div>The increasing penetration of renewable energy sources (RES) requires flexible solutions for balancing power systems and sector coupling. This paper proposes the integration of a wind power plant (WPP) and a thermal energy storage (TES) system into a virtual power plant (VPP) for coordinated participation in the day-ahead, reserve, and real–time balancing markets. The TES system consists of two levels: a pit thermal energy storage (PTES) for seasonal heat accumulation and a buffer thermal energy storage (BTES) for supplying district heating (DH) demand. Charging and discharging are carried out using heat pump (HP) and electrical boiler (EB) units, which form the main coupling interface between the electrical and thermal sectors and serve as a new source of power system flexibility. A two-stage stochastic optimization approach is introduced to capture multiple uncertainties, including electricity prices and wind generation. Several case studies are conducted to evaluate the effectiveness and computational efficiency of the proposed model under different VPP trading strategies. The results show that the proposed framework enhances operational flexibility, reduces energy imbalance, and provides reserve capacity to the power system, increasing the expected total VPP income by 1,693.8 € compared to a baseline configuration. In addition, the two-stage stochastic formulation yields an additional 507.1 € relative to a deterministic benchmark with identical market participation. Using a reduced 16 × 16 scenario set, the resulting mixed-integer linear programming problem is solved within 10<!--> <!--> min, demonstrating compatibility with the day-ahead market (DAM) clearing timeline.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"30 ","pages":"Article 101638"},"PeriodicalIF":7.6,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146190515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}