Energy Conversion and Management最新文献

{"title":"Computational analysis of an ammonia-fuelled hybrid solid oxide fuel cell–gas turbine propulsion system for commercial aviation","authors":"Luca Wagner,&nbsp;Efstathios-Al. Tingas","doi":"10.1016/j.enconman.2025.119861","DOIUrl":"10.1016/j.enconman.2025.119861","url":null,"abstract":"<div><div>This study investigates the performance of a hybrid solid oxide fuel cell–gas turbine (SOFC-GT) propulsion system for commercial aviation, using ammonia–hydrogen blends as fuel. A computational model was developed by combining NASA’s T-MATS toolbox with Cantera-based chemical equilibrium calculations to simulate thermodynamic, aerodynamic, and electrochemical interactions. The analysis examined key design and operational parameters, including fan pressure ratio (FPR), bypass ratio (BPR), equivalence ratio, altitude, and Mach number. Results showed that pure ammonia produced the highest thrust (14.5 MW total power and 2.2 kg/s fuel flow) but at the cost of lower thermal efficiency and higher specific fuel consumption (SFC). Increasing the hydrogen content in the fuel reduced fuel flow by up to 86%, improved thermal efficiency by 4.5%, and eliminated CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> emissions, though NO emissions increased by 20%. Variations in equivalence ratio demonstrated a trade-off between thrust and efficiency, with net thrust increasing by 68% and thermal efficiency decreasing by 34% as equivalence ratio rose from 0.24 to 0.8. Optimal FPR and BPR combinations improved net thrust by up to 35% and reduced SFC by 26%. Although the hybrid system’s power-to-weight ratio was 30%–37% lower than that of a conventional turbofan, advancements in lightweight SOFC materials and designs could enhance feasibility. These findings demonstrate the potential of SOFC-GT systems to enable zero-carbon aviation while maintaining competitive performance metrics.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119861"},"PeriodicalIF":9.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploration and performance assessment of recuperated rotorcraft powerplant utilizing hydrogen as fuel","authors":"Chengyu Zhang ,&nbsp;Guopeng Yu ,&nbsp;Youcai Liang ,&nbsp;Guorui Ling","doi":"10.1016/j.enconman.2025.119872","DOIUrl":"10.1016/j.enconman.2025.119872","url":null,"abstract":"<div><div>To address the escalating fuel costs and environmental concerns associated with aviation emissions, this paper presents an integrated multidisciplinary framework to explore the concept of a hydrogen-fueled recuperated rotorcraft powerplant. The overall approach comprises a series of analyses covering rotorcraft flight dynamics, turboshaft engine simulation, hydrogen storage, and recuperator performance. Additionally, design space exploration and weight penalty assessments are conducted within the retrofitted rotorcraft context to evaluate system integration and performance. Comparative studies are performed on various propulsion configurations, including simple and recuperated cycles fueled by kerosene or hydrogen, with a focus on fuel economy and payload capacity. The analysis identifies tank gravimetric efficiency and recuperator thermal effectiveness as critical parameters influencing system weight penalties. Results reveal that the incorporation of recuperator reduces specific fuel consumption (SFC) by 23–44% and 21–41% for kerosene- and hydrogen-fueled engines, respectively. However, at the mission level, hydrogen-powered architectures with recuperators incur energy-to-revenue work ratio (ETRW) penalties exceeding 18% and 21% compared to their kerosene counterparts, at recuperator effectiveness <em>ε_ds</em> of 0.6 and 0.75, respectively. This study establishes the proposed approach as an enabling technology to assess the feasibility of hydrogen as a fuel for rotorcraft powerplants utilizing recuperated engine cycles. The findings contribute to the development of sustainable rotorcraft designs with advanced propulsion configurations.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119872"},"PeriodicalIF":9.9,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermo-economic analysis of balance of plant for energy conversion system in Korean DEMO fusion power plant","authors":"Seok Jun Moon ,&nbsp;Hokyu Moon ,&nbsp;Namkyu Lee","doi":"10.1016/j.enconman.2025.119869","DOIUrl":"10.1016/j.enconman.2025.119869","url":null,"abstract":"<div><div>As carbon neutrality becomes a global priority, nuclear fusion power plants, such as K-DEMO, are considered promising candidates for clean and sustainable energy generation. In order to realize the nuclear fusion power plants, the design of Balance of Plant (BoP) for energy conversion system is essential. However, comprehensive studies on the BoP for energy conversion of K-DEMO are still lacking. This study proposes a preliminary design of K-DEMO BoP for energy coversion, consisting of the Primary Heat Transfer System (PHTS) and Power Conversion System (PCS), and evaluates the effectiveness of the divertor as a heat source through thermal performance and economic analysis. The system was modeled using EBSILON software, and the Rankine cycle, adopted in PCS, was validated by comparing simulation results with real operational data. Results indicate that utilizing the divertor as a heat source increases power generation but reduces thermal efficiency due to its placement within the cycle. An economic analysis was conducted for three cases: with the divertor, without the divertor and no additional heat from the blanket, and without the divertor but with additional heat from the blanket. The analysis indicates that, under current design constraints, blanket offers more favorable thermodynamic and economic outcomes. These findings suggest that while divertor as a heat source remains a necessary consideration for future system integration, development efforts at this stage may benefit from prioritizing the optimization of blanket heat utilization. The proposed BoP design provides a foundation for further system-level research and potential integration of advanced technologies.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119869"},"PeriodicalIF":9.9,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of supercritical CO2 cycles for biomass cogeneration for industrial applications","authors":"Francesco Ceccanti,&nbsp;Alessio Ciambellotti,&nbsp;Andrea Baccioli,&nbsp;Lorenzo Ferrari,&nbsp;Umberto Desideri","doi":"10.1016/j.enconman.2025.119826","DOIUrl":"10.1016/j.enconman.2025.119826","url":null,"abstract":"<div><div>The industrial sector emitted 9.0 gigatonnes of CO₂ in 2022, representing 25 % of global emissions, highlighting the urgent need for decarbonisation strategies. Biomass-fuelled Combined Heat and Power (CHP) systems offer a promising pathway to reduce primary energy demand and industrial emissions. This study evaluates three supercritical CO₂ (sCO₂)-based cogeneration architectures compared to standard biomass-fuelled Rankine cycles to assess their potential for enhanced energy and economic performance. The systems were designed to serve an industrial load of 10 ton/hour of 16-bar steam and 8 MW of electricity, typical of a tissue paper mill. Key parameters, including electrical efficiency, primary energy savings (PES), capital expenditures (CAPEX), and levelized cost of electricity (LCOE), were optimized and analyzed. Results demonstrate that at a turbine inlet pressure of 300 bar, sCO₂ cycles achieve a PES of up to 13.8 %, significantly outperforming the Rankine cycle (1.9 %). CAPEX for sCO₂ systems ranges from €32 million to €40 million, comparable to or lower than Rankine cycles of similar size. Biomass consumption is reduced by 3,500–4,000 tons annually, as reflected in LCOE values of €0.086–€0.095 per kWh_el. These findings suggest that sCO₂ cycles are a viable and efficient alternative for biomass-based CHP systems, particularly in biomass-scarce scenarios.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"335 ","pages":"Article 119826"},"PeriodicalIF":9.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative overview of various single-shaft and parallel-flow Brayton cycles developed from turbochargers","authors":"C.C. Cockcroft,&nbsp;W.G. Le Roux","doi":"10.1016/j.enconman.2025.119837","DOIUrl":"10.1016/j.enconman.2025.119837","url":null,"abstract":"<div><div>Automotive turbochargers can be used to develop gas turbine cycles; however, turbochargers operate at low pressure ratios where cycle performance is sensitive to the addition of pressure-drop components. Parallel-flow Brayton cycles have been proposed to reduce the effect of pressure losses on cycle performance. This analytical study therefore compares various parallel-flow Brayton cycle configurations to their single-shaft counterparts, considering combustion, recuperation, as well as a concentrated solar power input via a solar dish and an open-cavity tubular receiver to identify where parallel-flow cycles are advantageous. Results show that the main shaft turbocharger choice greatly influences whether a single-shaft or a parallel-flow cycle is more beneficial. In recuperated solar cycles with a 6 % combustion chamber pressure loss, the parallel-flow low-temperature-turbine configuration with the solar receiver before the power turbine (in parallel with the main shaft) can achieve a peak thermal efficiency of 23.5 %, with 3 kW of power output, at a pressure ratio of 1.6. This can be compared with a peak thermal efficiency of 21.8 % at a pressure ratio of 1.75 for its single-shaft counterpart. In recuperated parallel-flow cycles and recuperated solar parallel-flow cycles, thermal efficiency performance improves under increased combustion chamber pressure losses, from 6 % up to 11 %, in contrast to the declining performance of single-shaft cycles. More specifically, at a pressure ratio of 1.8, results show that the parallel-flow low-temperature-turbine configuration can outperform its single-shaft counterpart when combustion chamber pressure losses exceed 8.7 %. The study highlights the potential of parallel-flow Brayton cycles for recuperation and concentrated solar power integration, particularly in low-pressure-ratio systems, offering practical guidance for turbocharger and cycle configuration selection.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"335 ","pages":"Article 119837"},"PeriodicalIF":9.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of impurities in captured CO2 on the distribution of liquefaction and purification costs","authors":"Rikke C. Pedersen ,&nbsp;Ebbe H. Jensen ,&nbsp;Isaac A. Løge ,&nbsp;Brian Elmegaard ,&nbsp;Jonas K. Jensen","doi":"10.1016/j.enconman.2025.119839","DOIUrl":"10.1016/j.enconman.2025.119839","url":null,"abstract":"<div><div>Carbon Capture, Utilisation, and Storage is an unavoidable tool in reducing greenhouse gas emissions from energy and industrial sectors. Shared transport infrastructures are necessary to implement the technology on large-scale at acceptable costs. The CO₂ quality varies with different emitters, and if these should use a common infrastructure, it is important to understand the economic effects of the impurities throughout the Carbon Capture value chain. The captured CO₂ is typically purified and liquefied using a conditioning system prior to transportation. This study performs an exergoeconomic analysis of a conditioning process considering four different feed gas compositions. The system was modelled using a chemical process modelling tool, and energy and economic analyses were performed. Exergy was used as a basis for distributing the costs associated with reaching the liquid state and the correct quality, respectively. It was found, that the various feed gas compositions did not significantly affect the costs directly associated with liquefaction, which remained at 18<!--> <!-->EUR/(t<!--> <!-->CO₂) to 21<!--> <!-->EUR/(t<!--> <!-->CO₂). Removal of the incondensable gases accounted for between 0.1<!--> <!-->EUR/(t<!--> <!-->CO₂) to 18.7<!--> <!-->EUR/(t<!--> <!-->CO₂) and depended on the feed gas composition. Higher costs associated with water removal through cooling and higher losses during the distillation process were observed when more impurities were present in the feed gas. This resulted in increased purification costs. The results show that quality requirements from off-takers and transport operators can impose economic drawbacks for emitters. It emphasises the relevance of considering which CO₂ sources are best suitable for different off-takers when impurity constraints are imposed.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119839"},"PeriodicalIF":9.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large-scale fluidized-bed CH4 pyrolysis reactor for simultaneous COx-free H2 and carbon production: Multi-objective optimization and artificial intelligence modeling of different process schemes","authors":"Ali Bakhtyari ,&nbsp;Masoud Mofarahi ,&nbsp;Adolfo Iulianelli","doi":"10.1016/j.enconman.2025.119885","DOIUrl":"10.1016/j.enconman.2025.119885","url":null,"abstract":"<div><div>The present study is devoted to the development, multi-objective optimization, and artificial intelligence modeling of turquoise H₂ and carbon production through the thermal decomposition of CH₄ also known as pyrolysis. With a kinetic model of reaction and deactivation on the Fe/Al₂O₃ catalyst particles, a mathematical model was derived for a fluidized-bed pyrolysis reactor with a perfectly mixing continuous stirred tank reactor assumption, which is then applied to a genetic algorithm optimization procedure to explore the best performance of the two reactor designs (adiabatic and well-heated). The optimization strategy included two plans for the best operating conditions and processing time. In both optimization plans, the well-heated reactor was superior in terms of higher conversions and product yields, as well as more stable catalysts. This was managed due to the instantaneous heating of the reaction area by molten salt flowing in the shell side of the reactor. The mathematical model was in the next section combined with an artificial intelligence computation approach inspired by neural networks. Extended databanks that included 3840 runs at varied operating conditions in each pyrolysis reactor were then analyzed by Pearson approach to determine the effective input variables and construct the input layer of single- and double-layer perceptron neural networks. The impacts of train function and hidden layer(s) size were also investigated rigorously. Although single-layer neural networks failed to describe the systems in question efficiently, the double-layer modes that benefitted from the <em>trainbr</em> and <em>trainbfg</em> functions could represent the outputs (average temperature, conversion, H₂ yield, and carbon yield) of both systems precisely. Statistical parameters, errors analysis, as well as kernel density and histogram analyses, revealed that the calculations of best models can be dependable. Through a comparison between the models’ outputs and the target variables, it was also revealed that the double-layer network can detect even very small alterations in the operating variables.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119885"},"PeriodicalIF":9.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143907011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A 3D-printed full-soft regenerative elastocaloric cooler","authors":"Kun Wang,&nbsp;Kurt Engelbrecht,&nbsp;Christian R.H. Bahl,&nbsp;Rasmus Bjørk","doi":"10.1016/j.enconman.2025.119811","DOIUrl":"10.1016/j.enconman.2025.119811","url":null,"abstract":"<div><div>Elastocaloric cooling employing soft elastomers represents a path to reduce the climate impacts associated with conventional vapor compression refrigeration. The use of soft elastomers enhances efficiency, flexibility, and cost-effectiveness of elastocaloric systems, while significantly reducing the driving force for promising low-stress elastocaloric cooling. This study presents fully 3D-printed soft elastomeric regenerators featuring parallel plate and square channel designs, operating under 5.5–7.7 MPa. The 3D-printed elastomer exhibits an adiabatic temperature change of 2.3 K upon unloading at 600% strain. The 3D-printed elastomers were used to build a regenerative elastocaloric cooler featuring automatic fluid compensation to address large strain-induced volume changes in fluid channels, which resulted in enhanced cooling performance. The cooler achieves a 4.7 K temperature span (regeneration ratio: 2.04) in a square-microchannel regenerator and delivers a maximum specific cooling power of 1850 W/kg. Utilizing additive manufacturing for rapid prototyping of microchannel regenerators, this work demonstrates a scalable and commercially viable approach to low-force elastocaloric cooling.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119811"},"PeriodicalIF":9.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized energy management in Grid-Connected microgrids leveraging K-means clustering algorithm and Artificial Neural network models","authors":"Peter Anuoluwapo Gbadega,&nbsp;Yanxia Sun,&nbsp;Olufunke Abolaji Balogun","doi":"10.1016/j.enconman.2025.119868","DOIUrl":"10.1016/j.enconman.2025.119868","url":null,"abstract":"<div><div>The increasing integration of renewable energy sources (RESs) in grid-connected microgrids necessitates advanced energy management strategies to enhance efficiency, reliability, and sustainability. This study proposes an optimized energy management framework leveraging the One-to-One-Based Optimizer (OOBO) for microgrid scheduling, combined with K-means clustering and Artificial Neural Networks (ANNs) for load forecasting. The proposed method dynamically schedules distributed energy resources (DERs), battery energy storage systems (BESS), and diesel generators while minimizing operational costs and carbon emissions. Simulation results demonstrate that the OOBO-based optimization achieves a 20–48% reduction in operational costs and a 25–38% decrease in carbon emissions, outperforming conventional methods such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Differential Evolution (DE). The comparative analysis highlights the superior convergence speed of OOBO, reducing computational time by 30–45%, making it suitable for real-time applications. Furthermore, the study evaluates three scenarios: reliance solely on a diesel generator, optimization without BESS, and optimization with BESS, where BESS integration led to a 38% reduction in emissions compared to diesel generator-only configurations. The novelty of this work lies in the synergistic integration of OOBO, AI-driven forecasting models, and adaptive resource scheduling, ensuring optimal cost savings and energy efficiency. The results confirm the scalability and robustness of the proposed framework, making it a promising solution for future multi-microgrid and multi-energy system applications. These findings provide a strong foundation for sustainable energy transitions, reducing dependence on fossil fuels and enhancing grid stability.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119868"},"PeriodicalIF":9.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143904300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the performance of a compact-array OWC device with airflow-pathway shared configurations: An experimental study","authors":"Zhen Liu ,&nbsp;Xiaoxia Zhang ,&nbsp;Heqiang Ni ,&nbsp;Lei Ding ,&nbsp;Ziqian Han","doi":"10.1016/j.enconman.2025.119862","DOIUrl":"10.1016/j.enconman.2025.119862","url":null,"abstract":"<div><div>Building on foundational studies of the compact oscillating water column array device called the “Ring-type AIsled Networking BDB-OWC”, this study proposes merging modules to share common chambers and airflow pathways, aiming to enhance performance and reduce costs by minimizing turbine requirements. A 1:10 scale model was tested under four merging configurations in regular wave scenarios within a wave tank. Key metrics − free-surface elevations, air pressure variations in merged versus individual modules, airflow rates through orifices, and energy-harvesting performance − were compared. Time-history data revealed phase differences and their influences on performance, while statistical analyses highlighted distinctions across merging plans and unmerged configurations. Experimental results demonstrate that merging alters pneumatic damping characteristics, influencing free-surface elevations and air volume transport. Merging near-end modules facing forward incident waves enhanced overall performance, whereas merging far-end modules under oblique waves reduced power capture. The merged modules achieved a peak capture width ratio of 0.38 under possible underestimations from the incident wave power calculations, 1.46 times that of individual modules.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"335 ","pages":"Article 119862"},"PeriodicalIF":9.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}