Energy Conversion and Management-X最新文献

{"title":"Integrative approach to hydrothermal gasification of food waste for hydrogen production: experimental validation, techno-economic assessment, and mathematical modeling","authors":"Fairuz Wasima,&nbsp;Md. Sanowar Hossain,&nbsp;Md. Sharul Islam Khan Shawon,&nbsp;Monjur Mourshed,&nbsp;Md. Golam Kibria","doi":"10.1016/j.ecmx.2025.101123","DOIUrl":"10.1016/j.ecmx.2025.101123","url":null,"abstract":"<div><div>This study conducts a techno-economic and environmental analysis to assess the viability and benefits of H₂ production from food waste via hydrothermal gasification (HTG). Experimental results were used to examine the effects of critical parameters, including temperature, reaction time, and catalyst use, on H₂ yield. Response surface methodology (RSM) was employed to explore the relationships among operational factors and to develop a mathematical model that forecasts various experimental outcomes. Fourier Transform Infrared Spectroscopy (FTIR) was utilized to analyse the chemical properties of bio-oil. The most favourable parameters for this process are 350 °C and 18 MPa, resulting in a maximum yield of 796 mL after 90 min. Sodium hydroxide (NaOH) significantly enhances H₂ production to approximately 800 cc, surpassing the performance of other catalysts. FTIR analysis reveals the chemical complexity of bio-oil, which presents promising prospects for sustainable fuel. Replacing 1.9 Mt of coal, 1.3 Mt of diesel, and 1.19 Mt of natural gas with H₂ can result in a cost savings of M$ 228 by 2023. This comprehensive study offers a comprehensive perspective on implementing H₂ energy through HTG technology.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101123"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596039","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":"Optimization and Shannon entropy multi-criteria decision-making method for implementing modern renewable energies in stand-alone greenhouses","authors":"Erfan Sadeghitabar,&nbsp;Roghayeh Ghasempour,&nbsp;Mohamad Amin Vaziri Rad,&nbsp;Ashkan Toopshekan","doi":"10.1016/j.ecmx.2025.101139","DOIUrl":"10.1016/j.ecmx.2025.101139","url":null,"abstract":"<div><div>Commercial optimization tools often prioritize economic outcomes at the expense of sustainability and environmental performance. This limitation is particularly evident when evaluating renewable technologies with high capital costs, such as transparent agrivoltaic systems, compared to conventional photovoltaic alternatives. The lack of objective multi-criteria decision-making frameworks integrated with these tools presents a gap in supporting sustainable energy development, especially for policymakers. This study introduces a hybrid MATLAB/HOMER framework to optimize the energy supply of stand-alone greenhouse systems equipped with water treatment units in tropical climates. The framework integrates a Shannon Entropy-based TOPSIS method, implemented in MATLAB, to objectively rank system configurations using HOMER’s economic, technical, environmental, and energy security outputs. For an average daily load of about 100–110 kWh, the optimal configuration comprises 1.5 kW wind turbines, 4 kW transparent agrivoltaic panels, 14.5 kW conventional photovoltaic panels, a 10 kW diesel generator, 12 kWh of battery storage, and a 13.1 kW converter. This system achieves a levelized cost of electricity of $0.119 per kWh, a 51.2 % renewable energy share, and a lifetime CO₂ reduction of 13,240 kg, while maintaining 100 % supply reliability. Additionally, the results show that the Shannon Entropy method provided a more decisive identification of the optimal scenario compared to the subjective Analytic Hierarchy Process (AHP). These findings demonstrate the effectiveness of entropy-weighted decision-making in identifying high-performance, sustainable energy solutions that extend beyond purely economic criteria, with zero unmet load.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101139"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144623776","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":"Boosting sustainable hydrogen production through the gasification of biorefinery sludges","authors":"Martin J. Taylor ,&nbsp;Karl Hornsby ,&nbsp;Kin Wai Cheah ,&nbsp;Adrian Chun Minh Loy ,&nbsp;Peter Hurst ,&nbsp;Mark Gronnow ,&nbsp;Katie Chong ,&nbsp;Patrick Kelly ,&nbsp;Simon Walker ,&nbsp;Vasiliki Skoulou","doi":"10.1016/j.ecmx.2025.101135","DOIUrl":"10.1016/j.ecmx.2025.101135","url":null,"abstract":"<div><div>Decarbonisation of energy production is vital to prevent further climatological disasters; sustainable hydrogen production from unique underutilised feedstocks will presents a viable pathway to overcome further energy crises and transition away from fossil reserves. By tapping into severely underutilised lignin-rich biorefinery waste streams such as sludges, produced post hydrolysis (sugar extraction, pre-fermentation), a wealth of hydrogen was unlocked via gasification at 950 °C in 1 % O₂/N₂, producing a gas-rich product mixture (&gt;70 wt%) in a batch downdraft reactor. Subject to an optimised pre/post-treatment regime, low nitrogen and ash (&lt;2 wt%) containing 1–2 mm sludges derived from barley and wheat straws were found to create a producer gas with hydrogen concentrations of 27.95 vol.% and 22.12 vol.%, respectively, as a result this work has pioneered a waste-to-hydrogen pathway for biorefinery sludges, achieving competitive H₂ yields without energy-intensive steam/catalysts. The formed sludges were found to be superior to both raw and leached parent feedstocks without NaOH hydrolysis, in terms of hydrogen production and solid fuel calorific values.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101135"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144563703","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 hydrogen systems for far offshore applications: a comprehensive analysis","authors":"Ben Abdelouahab Nouhaila ,&nbsp;Olivier Jean-Christophe ,&nbsp;Bourguet Salvy ,&nbsp;Auvity Bruno","doi":"10.1016/j.ecmx.2025.101146","DOIUrl":"10.1016/j.ecmx.2025.101146","url":null,"abstract":"<div><div>Large-scale energy storage is one of the major challenges facing the energy transition. Hydrogen is considered to be a promising solution. This paper proposes a decision-support tool for optimizing hydrogen system sizing in offshore applications. A techno-economic model of the hydrogen production and storage chain is proposed. A hybridization with batteries is considered to smooth the intermittences, and the energy management is done using a separation frequency method. The feasibility of using a battery as buffer storage is evaluated from both technical and economic perspectives. A bi-objective optimization using the Non-dominated Sorting Genetic Algorithm (NSGA-II) is conducted to minimize the annual cost while maximizing hydrogen production. Optimization Results show that the lowest Levelized Cost of Hydrogen (LCOH) of 11.26 €/kgH₂, is obtained without battery storage using an electrolyzer size close to the maximum power capacity of the renewable source. In this configuration, electricity cost accounts for 48% of the LCOH, electrolyzer CAPEX 24%, tank 22%, and compressor 6%. Although batteries are traditionally expected to smooth intermittent power and improve system efficiency, the optimization results reveal that their integration offers no economic benefit. The presented techno economic analysis of the optimal solutions describes how the hydrogen system sizing affects the LCOH, the hydrogen production, and other performance indicators. A sensitive analysis is investigated to assess the influence of key technical and economic parameters on the optimization outcomes. The result demonstrates that LCOH is mainly driven by electricity cost and electrolyzer CAPEX. Overall, the optimal sizing showed a consistent robustness.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101146"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655418","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":"Hydrovoltaic energy harvesting: A systematic review and bibliometric analysis of technological innovations, research trends, and future prospects","authors":"Flavio Odoi-Yorke ,&nbsp;Ephraim Bonah Agyekum ,&nbsp;Bashar Tarawneh ,&nbsp;Farhan Lafta Rashid ,&nbsp;Richard Nyarkoh ,&nbsp;Emmanuel Mensah ,&nbsp;Pankaj Kumar ,&nbsp;Muhammad Amir Raza","doi":"10.1016/j.ecmx.2025.101126","DOIUrl":"10.1016/j.ecmx.2025.101126","url":null,"abstract":"<div><div>The growing demand for sustainable energy solutions has positioned hydrovoltaic energy harvesting (HEH) as a promising renewable technology that converts water-based phenomena into electricity. Despite its potential, the field lacks a comprehensive synthesis of its research progress and technological evolution. This study addresses this gap through an integrated bibliometric and systematic review approach. Bibliometric analysis of 52 peer-reviewed articles, sourced via Scopus, reveals an exponential growth in HEH research from 2020 to 2024, driven predominantly by East Asian countries, with China leading the field. Key thematic clusters were identified using tools such as Bibliometrix and VOSviewer, highlighting innovations in materials like MXenes and nanostructured carbon and their role in enhancing energy conversion efficiency. A systematic review of the selected studies categorizes advancements in fundamental mechanisms, device architecture, and scalable applications. Notable findings include the development of flexible hydrovoltaic devices for wearable electronics and hybrid systems for integrated energy generation and storage. These advancements underline HEH’s potential for addressing climate challenges and energy inequities, particularly in underrepresented regions like Africa and South America. The review highlights strategic investment priorities for HEH systems, including scaling, integrating hybrid technologies, and fostering global collaborations to accelerate HEH’s transition to practical, scalable renewable energy systems.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101126"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522924","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 novel multi-stage robust optimization model for carbon-free microgrid scheduling with decision-dependent uncertainty sets via adaptive benders decomposition","authors":"Hossein Jokar,&nbsp;Navid Parsa,&nbsp;Taher Niknam","doi":"10.1016/j.ecmx.2025.101124","DOIUrl":"10.1016/j.ecmx.2025.101124","url":null,"abstract":"<div><div>The integration of renewable energy sources into carbon-free microgrids introduces operational challenges due to uncertainties in generation and demand. Traditional robust optimization methods rely on static uncertainty sets, often producing overly conservative or infeasible solutions. This paper presents a novel<!--> <!-->two-stage robust optimization framework<!--> <!-->that explicitly models<!--> <!-->decision-dependent uncertainties (DDUs), where uncertainty sets dynamically adapt to operational decisions such as energy storage dispatch, EV charging schedules, and hydrogen fuel cell operations. Unlike static approaches, this method captures how system actions influence uncertainty bounds, enabling a realistic balance between conservatism and risk. Advanced<!--> <!-->polyhedral uncertainty sets<!--> <!-->are employed to dynamically represent evolving uncertainty ranges, effectively linking operational decisions to uncertainty management. To solve this complex problem, an<!--> <!-->enhanced Benders decomposition algorithm<!--> <!-->is developed, integrating adaptive optimality and feasibility cuts that remain valid under dynamic uncertainty adjustments, ensuring computational tractability and global optimality—a limitation in traditional methods like Column-and-Constraint Generation. The framework is validated on 33-bus and 69-bus microgrids under grid-connected and islanded modes. Results show a 7–12 % increase in operational costs compared to static robust optimization but demonstrate significant improvements in reliability:<!--> <!-->15–20 % reduction in load shedding<!--> <!-->during islanded operation, voltage deviations constrained below<!--> <!-->0.02 p.u., and<!--> <!-->5–8 % higher renewable energy utilization. By dynamically aligning uncertainty management with operational decisions, the method mitigates conservative biases while enhancing resilience. This work provides a practical, decision-responsive optimization tool for carbon-free microgrids, advancing robust energy management systems that address real-world uncertainties. The framework supports grid operators in balancing operational risks, cost efficiency, and reliability, offering a critical pathway for sustainable power system transitions.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101124"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144614415","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":"Multidimensional Evaluation of fuel performance for typical biodegradable plastics","authors":"Jiuli Ruan ,&nbsp;Zhiyu Ma ,&nbsp;Feilong Zhang ,&nbsp;Kang Gao ,&nbsp;Yuwen Guo","doi":"10.1016/j.ecmx.2025.101137","DOIUrl":"10.1016/j.ecmx.2025.101137","url":null,"abstract":"<div><div>Biodegradable plastics (BPs) are prone to causing new environmental pollution because the traditional recycling and disposal systems on BPs are unclear, fuel conversion is expected to emerge as a viable treatment method. Here, the performance of four typical BPs for fuel utilization with combustion characteristics, thermogravimetric processes, as well as kinetic and thermodynamic parameters were studied. The results indicated that the calorific values of the BPs were 17.84–24.21 MJ/kg, comparable to standard coal, and their N and S contents were below 1 %. The reaction temperatures of BPs generally range from 300 to 600°C, which indicated that they were relatively easy to burn. In addition, the apparent activation energy (E_α) required for the combustion process of the BPs calculated by the FWO, KAS, and Starink methods is only 71.88–114.39 kJ/mol. The lower combustion reaction energy barrier makes BPs promising co-firing agents for substances with high combustion energy barriers. The combustion process of BPs across all stages predominantly conforms to the An model (random nucleation and nuclei growth mechanism model), with varying reaction orders observed in distinct phases. The apparent enthalpy change and Gibbs free energy change are both greater than 0, indicating that the combustion of BPs was a nonspontaneous reaction that requires the absorption of energy from the external environment. These findings are anticipated to provide critical insights for designing BP combustion reactors and establish a theoretical foundation for their fuel conversion applications.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101137"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633387","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":"Design and experimental investigation of a high-efficiency rolling electromagnetic energy harvester with an arc-shaped track","authors":"Xin Liao ,&nbsp;Lin Chen ,&nbsp;Yang Zhou","doi":"10.1016/j.ecmx.2025.101153","DOIUrl":"10.1016/j.ecmx.2025.101153","url":null,"abstract":"<div><div>Rolling electromagnetic energy harvesters (REMEH) is efficient vibration energy harvesting devices. A REMEH with an arc-shaped track (REMEH-AT) is proposed in this paper to better tune with the human motion frequencies and enhance its energy harvesting performance from human motion. A high-density array coil further increases the change rate of the magnetic flux. A rolling-collision mathematical model of the REMEH-AT is established based on the extended Hamiltonian principle. The output voltage and power characteristics with different arc-shaped track radii are studied by using numerical simulation, vibration shaker tests, walking and running tests, and hand shaking tests. The numerical and vibration shaker test results are in good agreement, verifying the accuracy of the mathematical model and numerical simulations. The experimental results demonstrate that the output performance of the REMEH-AT exhibits significant excitation amplitude-dependent nonlinearity. The arc-shaped track can significantly improve the harvesting performance of the REMEH-AT. The R30 and R50 typed harvesters are beneficial for harvesting energy from walking/jogging (low frequencies) and running (high frequencies), respectively. An excessively large track radius will reduce the harvesting performance. The proposed REMEH-AT provides an efficient and robust solution for potential clean power supply in intelligent wearable electronic and wireless sensor network devices.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101153"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670221","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":"Development and verification of a real-time energy management system for a dual-energy electric bus using particle swarm optimization","authors":"Chien-Hsun Wu,&nbsp;Wei-Zhe Gao","doi":"10.1016/j.ecmx.2025.101132","DOIUrl":"10.1016/j.ecmx.2025.101132","url":null,"abstract":"<div><div>For electric vehicles (EVs), traditional single-battery systems struggle to balance cost, lifespan, and performance under varying load demands and driving cycles. Integrating dual-energy storage systems has thus become an attractive approach to leverage the complementary advantages of each technology. In this study, the main focus is to coordinate power distribution between two different battery types, lead-acid battery and lithium battery. Firstly, a control-oriented third-order EV dynamics was constructed in advance for performance evaluation. For the baseline control, a rule-based control (RBC) with three modes considering demanded power and State-of-Charges (SOCs) of dual energy sources was developed. This study next proposed an advanced energy management system (EMS) adopting the equivalent consumption minimization strategy (ECMS) as the reference of 100 % optimization. Four for-loop layers (demanded power, dual SOCs and power ratio) with a cost function which was the combined power of dual sources influenced by weighting factors of SOCs were constructed. For the Particle Swarm Optimization (PSO) algorithm, the optimal torque distribution ratio was evaluated considering group size. Furthermore, to verify the EMS, a hardware-in-the-loop (HIL) testing framework was constructed to validate the practical feasibility of the proposed strategies under realistic driving conditions. The results demonstrate that, compared to RBC, the proposed ECMS and PSO achieved notable improvements in energy efficiency during the New European Driving Cycle (NEDC), with maximum improvement of 6.62 % and 6.56 %, separately, in pure simulation. For HIL experiments, 10.48 % and 10.41 % improvements were achieved. These findings highlight the practical potential of intelligent optimization algorithms for dual-energy storage systems employed in next-generation electric buses.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101132"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570247","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":"Renewable microgrids with PEMFC, electrolyzers, heat pumps, hydrogen and heat storages in scenario-based day-ahead electrical market","authors":"Seyyed Mohammad Bornapour ,&nbsp;Mostafa Nejatolahi ,&nbsp;Reza Hemmati","doi":"10.1016/j.ecmx.2025.101120","DOIUrl":"10.1016/j.ecmx.2025.101120","url":null,"abstract":"<div><div>Microgrids enable the integration of renewable energy sources; however, managing electricity from intermittent wind and solar power remains a significant challenge. This study investigates two storage strategies for managing surplus renewable electricity in an IEEE 84-Bus microgrid with wind turbines and photovoltaic units. The first option involves producing hydrogen via electrolyzers, which is stored for later electricity generation through fuel cells. The second option involves converting surplus electricity into heat using heat pumps, which is then stored in thermal energy storage systems to efficiently meet the microgrid’s thermal load requirements. A scenario-based day-ahead scheduling model is proposed to optimize the microgrid’s electrical and thermal load management while considering uncertainties in market prices, wind speeds, and solar irradiance. The resulting large-scale optimization challenge is effectively tackled using the self-adaptive charge system search algorithm. The results indicate that, for the optimal utilization of excess renewable electricity, heat generation via heat pumps is more cost-effective than hydrogen production, primarily due to the inefficiencies in hydrogen conversion and the ability of heat pumps to produce several units of heat for each unit of electricity consumed. Moreover, heat pumps prove to be more economical than natural gas combustion in boilers for meeting the thermal demands across a wide range of gas prices. These findings highlight the economic benefits of integrating heat pumps and thermal energy storage systems into renewable energy microgrids.</div></div>","PeriodicalId":37131,"journal":{"name":"Energy Conversion and Management-X","volume":"27 ","pages":"Article 101120"},"PeriodicalIF":7.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518491","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}