Energy Conversion and Management最新文献

{"title":"Solar thermal assisted proton exchange membrane electrolyzer and solid oxide fuel cell system based on biomass gasification for green power and hydrogen production: Multi-objective optimization and exergoeconomic analysis","authors":"Shayan Sharafi Laleh ,&nbsp;Haniyeh Sadat Rezaei Mousavi ,&nbsp;Shayan Rabet ,&nbsp;Farnaz Nojavan ,&nbsp;Mortaza Yari ,&nbsp;Saeed Soltani","doi":"10.1016/j.enconman.2025.119900","DOIUrl":"10.1016/j.enconman.2025.119900","url":null,"abstract":"<div><div>The industrial revolution led to technological advances but also exacerbated environmental issues, notably increasing carbon emissions. This study introduces a novel hybrid system combining photovoltaic-thermal (PVT), proton exchange membrane electrolyzer (PEME), gasification, solid oxide fuel cell (SOFC), and a Rankine cycle to address these challenges. The system features solar-assisted gasification with preheated air and water to improve syngas quality, increasing hydrogen content and enhancing combustion efficiency. The PEME unit uses excess solar electricity for green hydrogen production, ensuring a flexible clean fuel source, while oxygen produced by the PEME is injected into the SOFC cathode, improving electrochemical performance. This integrated system operates entirely on biomass-derived syngas, reducing reliance on fossil fuels. Comprehensive energy, exergy, and economic analyses confirm the system’s potential, achieving 55.03 % energy efficiency and 50.64 % exergy efficiency, with a product cost of $0.125/kWh. A multi-objective optimization study showed an energy efficiency of 74.88 %, reducing the environmental impact to 0.24 kg/kWh. The results highlight the system’s ability to optimize performance, cost-effectiveness, and environmental sustainability, offering a promising solution for industrial decarbonization.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"337 ","pages":"Article 119900"},"PeriodicalIF":9.9,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936473","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":"Real-time impending lithium battery terminal voltage collapse detection via dynamic mode decomposition and optimal Kalman filtering algorithms","authors":"Ali Qahtan Tameemi,&nbsp;Jeevan Kanesan,&nbsp;Anis Salwa Mohd Khairuddin","doi":"10.1016/j.enconman.2025.119896","DOIUrl":"10.1016/j.enconman.2025.119896","url":null,"abstract":"<div><div>In this study, several lithium battery terminal voltage collapse detection methods were proposed to protect physical battery units from permanent damage resulting from over-discharge scenarios. The proposed technique does not require prior knowledge of sophisticated battery models, battery current measurement, state of charge estimation, and Jacobian evaluation. In addition, it is free of training data and labeling issues. This was possible through the utilization of dynamic mode decomposition (DMD) and Kalman filtering algorithms (i.e., Kalman filter (KF), H-infinity filter (H-<span><math><mi>∞</mi></math></span>), and unscented Kalman filter (UKF)). Moreover, the aforementioned design was verified, tested, and compared with techniques from relevant studies such as the battery model-based DMD, Lyapunov stability and supervised machine learning methods, specifically principal component analysis (PCA) and support vector machine (SVM) algorithms, using experimental and simulation results. The preliminary technique was further improved by incorporating QR-pivoting and maximum likelihood estimation (MLE) techniques into the battery failure detection structure. Consequently, both detection accuracy and computation time were significantly enhanced, with the improved version demonstrating satisfactory performance compared to other techniques. Based on the first experimental dataset, the proposed preliminary methods, represented by DMD-KF, DMD-H-<span><math><mi>∞</mi></math></span>, and DMD-UKF, showed accuracy as 91.3%, 91.04%, and 91.58%, respectively. In contrast, the enhanced detection approaches, represented by QR-DMD-MLE-KF, QR-DMD-MLE-H-<span><math><mi>∞</mi></math></span>, and QR-DMD-MLE-UKF, showed 97.15%, 97.15%, and 97.15%, respectively. The PCA-SVM, Lyapunov stability, and battery model-based DMD approaches showed 93.48%, 90.33%, and 89.67%, respectively.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"337 ","pages":"Article 119896"},"PeriodicalIF":9.9,"publicationDate":"2025-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936474","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":"Tailoring cobalt oxide nanostructures for high light absorption and thermochemical energy storage performance","authors":"Tiantian Yan ,&nbsp;Bachirou Guene Lougou ,&nbsp;Boxi Geng ,&nbsp;Boshu Jiang ,&nbsp;Danni Ma ,&nbsp;Shuo Zhang ,&nbsp;Azeem Mustafa ,&nbsp;Wei Wang ,&nbsp;Achraf Ghorbal ,&nbsp;Piotr Łapka ,&nbsp;Yong Shuai","doi":"10.1016/j.enconman.2025.119898","DOIUrl":"10.1016/j.enconman.2025.119898","url":null,"abstract":"<div><div>Thermochemical energy storage offers high energy density and efficiency for concentrated solar power systems, making it a promising solution for sustainable energy storage. Cobalt oxide is particularly attractive for thermochemical energy storage due to its high energy storage capacity and excellent cycling stability. However, its performance is limited by redox thermal hysteresis and a significant temperature gap between reduction and oxidation processes. To address these challenges, this study investigates the effect of copper, manganese, and iron doping on cobalt oxide to enhance its solar light absorption and energy storage properties. The doped compounds were synthesized using the sol–gel method and thoroughly characterized using X-ray diffraction, scanning electron microscopy, Fourier transform infrared spectroscopy, thermogravimetric analysis and differential scanning calorimetry, and ultraviolet–visible spectroscopy. Key performance metrics, including oxygen storage capacity, energy storage density, and redox thermal hysteresis, were systematically analyzed. Among the tested materials, copper doping at x  = 0.5 was most effective, reducing thermal hysteresis from 37 ℃ to 28 ℃ and enhancing solar absorption by 78 %. These improvements are attributed to increased oxygen vacancies and modified cation valence states, which enhance redox kinetics and light-harvesting efficiency. Additionally, the copper-doped cobalt oxide demonstrated excellent cycling stability over 20 redox cycles, highlighting its potential for high-efficiency thermochemical energy storage applications. This study provides valuable insights into the design and optimization of advanced thermochemical energy storage materials, contributing to the development of next-generation renewable energy storage technologies.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119898"},"PeriodicalIF":9.9,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143931968","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":"Exergy analysis of underground coal gasification using supercritical water/carbon dioxide mixture as combined gasifying agent","authors":"Fan Zhang ,&nbsp;Wenjing Chen ,&nbsp;Li Chen ,&nbsp;Shuzhong Wang ,&nbsp;Yanhui Li ,&nbsp;Jianqiao Yang","doi":"10.1016/j.enconman.2025.119913","DOIUrl":"10.1016/j.enconman.2025.119913","url":null,"abstract":"<div><div>Underground coal gasification plays a critical role in enabling efficient development and low-carbon utilization of deep coal resources (&gt;2,200 m), characterized by gasifying agents operating under supercritical conditions. This study proposes a novel underground coal gasification system incorporating supercritical hydrothermal combustion, supercritical H₂O/CO₂ gasification and high-pressure pyrolysis. The thermodynamic performance evaluation and sensitivity analysis of the system are carried out. The results show that the largest exergy loss in the system occurred in the reduction zone, accounting for 27.9–35.2 % of the total exergy loss; increasing the gasification temperature could intensify gasification reactions, thereby raising the system’s energy efficiency and exergy efficiency to 43.3 % and 35.2 %, respectively, but it would lead to the CO mole fraction in product gas rapidly increasing to 41.8 %; the increase of steam amount will increase the gasification efficiency on the one hand, and increase the heat loss on the other hand, so the energy efficiency and exergy efficiency of the system reach the maximum at 70 %wt.%; at 800 °C, CO₂ inhibits coal gasification and increases gas purification and compression energy consumption, thereby reducing the system’s energy efficiency and exergy efficiency by 25 % and 20.4 %, respectively.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119913"},"PeriodicalIF":9.9,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143928806","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":"Cube-based sunlight system design – A joint optimization model for installation and allocation under stochastic environments","authors":"Le Duc Dao ,&nbsp;Kung-Jeng Wang","doi":"10.1016/j.enconman.2025.119882","DOIUrl":"10.1016/j.enconman.2025.119882","url":null,"abstract":"<div><div>Cube-based sunlight systems are emerging as a sustainable energy conservation method in green buildings, yet determining their optimal installation and light allocation under variable outdoor sunlight and indoor energy needs remains a key challenge. This study aimed to develop a comprehensive approach for seeking the joint optimal system configuration that effectively balances maker and user objectives. A bi-layer optimization model was developed for concurrent installation (upper layer) and operational sunlight delivery (lower layer) planning, solved using a genetic algorithm hybridized with linear programming and shortest path methods leveraging information exchange. The study successfully provides a solution for determining optimal configurations and demonstrated that the proposed SAA algorithm outperformed NSGA II in all cases by suggesting a larger coverage of the Pareto front curve. The core contribution of this work lies in establishing this joint optimal system configuration method for sunlight cube installation and associated light delivery route planning.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119882"},"PeriodicalIF":9.9,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143931939","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":"Techno-economic assessment of liquefied hydrogen tanker ships utilizing various propulsion systems","authors":"Siwoong Kim ,&nbsp;Seunghun Oh ,&nbsp;Sanggyu Kang","doi":"10.1016/j.enconman.2025.119895","DOIUrl":"10.1016/j.enconman.2025.119895","url":null,"abstract":"<div><div>Efficient and sustainable hydrogen transportation is essential for realizing the hydrogen economy. This study investigates the economic and environmental impacts of various fuel and propulsion systems: internal combustion engine (ICE) using heavy fuel oil (HFO), liquefied natural gas (LNG), hydrogen (H₂), ammonia (NH₃), and solid oxide fuel cell (SOFC), across two shipping routes for transporting hydrogen from Australia to South Korea and Singapore. The main analysis includes the levelized cost of hydrogen transportation (LCOHT), carbon dioxide (CO₂) emissions, and net present value (NPV). ICE-HFO achieves the lowest LCOHT on the Singapore route at 0.502 ¢/ton·km and 0.392 ¢/ton·km for 40 K and 80 K ships, respectively, while the SOFC system exhibits the highest LCOHT on the South Korea route at 1.189 ¢/ton·km and 0.852 ¢/ton·km for 40 K and 80 K ships. ICE-HFO emits the highest CO₂ emissions at 41,333 tons/year for the 80 K ship transporting to South Korea, whereas ICE LNG–SOFC and ICE HFO–SOFC hybrids reduce emissions by 62 % and 50 %, respectively, with LCOHT increases of 23 % and 22 %, demonstrating a trade-off between cost and environmental impact. Sensitivity analysis identifies ship speed as the dominant factor influencing LCOHT, with a 20 % speed reduction to 12 knots increasing LCOHT by 0.318–0.460 ¢/ton·km. NPV analysis indicates that the ICE-HFO system for the 80 K ship achieves the highest profitability, with PBPs as short as 2.76 years depending on time charter rates and hydrogen sale prices. In contrast, the SOFC system shows significantly longer PBPs, exceeding 10 years under typical market conditions. Transportation to Singapore is more profitable than to South Korea due to higher annual hydrogen delivery, and 80 K ships consistently outperform 40 K vessels in economic performance. These findings provide guidance for selecting optimal propulsion systems in future hydrogen transportation strategies.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119895"},"PeriodicalIF":9.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921171","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":"4E performance analysis and multi-objective optimization of a power-heat-freshwater trigeneration system based on ammonia-fed protonic ceramic fuel cell, micro gas turbine, and air gap membrane distillation","authors":"Huichao Zhu,&nbsp;Pan Zhao,&nbsp;Zhaochun Shi,&nbsp;Weihan Xue,&nbsp;Jiangfeng Wang","doi":"10.1016/j.enconman.2025.119867","DOIUrl":"10.1016/j.enconman.2025.119867","url":null,"abstract":"<div><div>To address the increasing global demand for clean energy and freshwater, particularly in islands and coastal regions, an innovative power-heat-freshwater trigeneration system integrating an ammonia-fed protonic ceramic fuel cell, a gas turbine, and air gap membrane distillation is proposed. A comprehensive 4E (energy, exergy, economic, and environmental) mathematical analysis model is established based on thermodynamics, electrochemistry, economics, and environmental theories, deriving various performance evaluation indicators and quantifying irreversible losses in components. The system’s reliability, feasibility, and competitiveness are assessed, and the performance of different subsystems, components, and operating modes is compared. Local sensitivity analysis parameters, global input–output correlation evaluation, Sobol-based global sensitivity analysis, and multi-objective optimization using a genetic algorithm are performed on seven key parameters to identify potential performance enhancement pathways. Results indicate that the system’s power output, exergy efficiency, overall energy efficiency, and levelized costs of electricity and freshwater are determined as 122.53 kW, 45.78 %, 94.69 %, 0.082$ kWh⁻¹, and 18.41$ m⁻³. Compared with the NH₃-PCFC/GT subsystem, power output and overall energy efficiency increased by 4.39 % and 49.84 %. Over the system lifecycle, 6461.13 tons of seawater are desalinated, and 3690.90 tons of CO₂ emissions are reduced. Regulating current density or air utilization is more sensitive for improving 4E performance, while adjusting stack inlet temperature, feed temperature or heat exchanger #3 cold end difference is a less sensitive option. Optimization results determined by the decision-making method yield a power output of 148.26 kW and a cost of 12.81$ m⁻³, with corresponding parameter design schemes provided.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119867"},"PeriodicalIF":9.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921167","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":"Performance optimization of high-temperature supercritical carbon dioxide concentrating solar power plant with an improved solar receiver","authors":"C. Li,&nbsp;Y.B. Tao,&nbsp;S. Li,&nbsp;K.J Dang","doi":"10.1016/j.enconman.2025.119883","DOIUrl":"10.1016/j.enconman.2025.119883","url":null,"abstract":"<div><div>Improving the outlet temperature of working fluid in solar receiver is an important measure to improve the thermal efficiency of power cycle used in concentrating solar power system. However, the thermal efficiency of solar receiver is sharply reduced with temperature increasing, which inevitably causes the power generation efficiency of system decreasing. In the present study, an improved structure of solar receiver is proposed and an integral computational model is established to investigate the performance of concentrating solar power system with supercritical CO₂ power cycle. The comparison results between the improved and the conventional solar receivers show that the improved solar receiver can significantly reduce heat loss and improve the thermal efficiency from 80.34% to 89.61% at the working temperature of 720 °C. The improved solar receiver is integrated into the concentrating solar power system to analyze the effects of working parameters on system performance. And the system performance is optimized by orthogonal experiment and genetic algorithms. The results show the split ratio has the most significant effect on power generation efficiency, followed by minimum pressure, molten salt outlet temperature and reheat pressure. Compared to the original system, the power generation efficiency of the concentrating solar power system can be improved from 29.20% to 34.23% by the present work.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119883"},"PeriodicalIF":9.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921165","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":"Arrangement optimization based on shadow adaptation for strip PV arrays along electrified railways corridors","authors":"Fangyi Wei,&nbsp;Yan Li,&nbsp;Yaqing Fan","doi":"10.1016/j.enconman.2025.119753","DOIUrl":"10.1016/j.enconman.2025.119753","url":null,"abstract":"<div><div>Arranging photovoltaic (PV) modules on the surface of embankment slopes along railway corridors can effectively harness PV energy from idle land along the corridor, which is crucial for promoting the green and low-carbon development of railways. Owing to the vast length and wide span of railway corridors, PV modules are typically arranged as strip photovoltaic (SPV) arrays in a linear layout. Furthermore, the complex climatic and sunlight conditions along long-distance railway corridors result in significant SPV mismatch losses. These unique challenges, which are absent in conventional PV power stations, render conventional array connections and optimization methods unsuitable for SPV arrays. Hence, this study proposes a general approach for modeling the output characteristics of arbitrary PV arrays as well as a new parameter, i.e., shadow adaptation, to quantify the adaptability of PV arrays under different shading conditions. Based on two key optimization objectives for SPV arrays — shadow adaptability and total cable length — this study proposes, for the first time, a layout optimization algorithm for SPV arrays, i.e., the shadow adaptation genetic algorithm (SAGA), which employs a genetic approach to optimize the SPV array arrangement. Simulation results show that an SPV array layout optimized by the SAGA achieves a maximum increase in output power by 17.08% and a 4.30% improvement in shadow adaptation compared with the conventional total-cross-tied configuration under various typical shading conditions.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119753"},"PeriodicalIF":9.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143921166","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":"Evaluation of economic feasibility of hydrogen production by steam pyrolysis of natural gas in a thermal plasma reactor","authors":"Dejan Cvetinović,&nbsp;Aleksandar Erić,&nbsp;Nikola Ćetenović,&nbsp;Jovana Anđelković,&nbsp;Marina Jovanović,&nbsp;Vukman Bakić","doi":"10.1016/j.enconman.2025.119890","DOIUrl":"10.1016/j.enconman.2025.119890","url":null,"abstract":"<div><div>This study investigates the optimization of process parameters for hydrogen production via steam pyrolysis of natural gas in a thermal plasma reactor. A key advantage of plasma pyrolysis is its ability to achieve high hydrogen yields without producing carbon monoxide or carbon dioxide, as the main products of the process are solid carbon and hydrogen. Unlike conventional methods, plasma-based decomposition does not require catalysts, which is one of the major challenges in current technologies for hydrogen production from natural gas. The use of water vapor as a working medium in the thermal plasma process is expected to further increase the hydrogen yield. This research employs a thermodynamic equilibrium model based on the minimization of Gibbs free energy to analyze the process within a temperature range of 500–2500 K. The numerical analysis identifies an optimal process temperature of approximately 1200 K, at which methane conversion exceeds 95 mass percent. Additionally, the study evaluates the economics of the process by calculating the cost of hydrogen production, taking into account capital and operating costs, as well as projected profits. Considering capital costs, operating costs, and profit margins, the estimated hydrogen price is 3.93 €/kg. The sensitivity analysis shows that fluctuations in the price of the by-product solid carbon have the most significant impact on the hydrogen price, which ranges from 4.39 to 3.14 €/kg, depending on the price of solid carbon, which varies between 150 and 1100 €/t.</div></div>","PeriodicalId":11664,"journal":{"name":"Energy Conversion and Management","volume":"336 ","pages":"Article 119890"},"PeriodicalIF":9.9,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916148","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}