Solar Energy Advances最新文献

{"title":"Examining the expected benefits of small-scale NbS implementation in Chania city center","authors":"Thodoros Glytsos ,&nbsp;Angeliki Mavrigiannaki ,&nbsp;Eleftheria Kalogirou ,&nbsp;Charalampos Litos ,&nbsp;Dionysia Kolokotsa","doi":"10.1016/j.seja.2025.100094","DOIUrl":"10.1016/j.seja.2025.100094","url":null,"abstract":"<div><div>The potential of Nature-based solutions to address multiple urban challenges and support urban resilience is widely recognised and documented. Towards enhancing the effects of existing urban green, and harnesing the most of the NbS services, it is necessary to identify all available urban spaces that can accommodate small-scale NbS implementations. In this study, a green wall and a green roof are planned for installation in a concrete-dominated area at the city centre of a small Mediterranean city (Chania, Greece). The potential benefits of the interventions on urban microclimate regulation, carbon sequestration, air pollution mitigation and aesthetic value of the area are investigated combining simulations and literature data. We discuss the synergistic effects of the obtained results and highlight that many microinterventions are needed to harness their cumulative effect on city scale.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100094"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Property development in n-alkane and n-alkane eutectic phase change materials for thermal energy storage applications","authors":"Cemil Alkan ,&nbsp;Erdinç Halis Alakara","doi":"10.1016/j.seja.2025.100089","DOIUrl":"10.1016/j.seja.2025.100089","url":null,"abstract":"<div><div>In this study, some n-alkanes (n-heptadecane: C17, n-octadecane: C18, n-nonadecane: C19, n-eicosane: C20, and n-tetracosane: C24) were used to determine their physicochemical properties to reveal the relationships between the molecular structure and properties. The materials studied were having working temperatures from 21.4 to 46.5 °C and enthalpy storage capacity from 216.2 to 268.9 J/g. Other thermophysical properties relevant to thermal energy storage, like specific heat capacity, thermal conductivity, density, and refractive index, are also investigated and formulated as properties changing with respect to molar mass and carbon number. In addition, some eutectic mixtures of the n-alkane compounds used were prepared, and the thermal energy storage properties, especially phase change temperature and enthalpy, were examined. Binary eutectic mixtures of C17-C18, C20-C17, C20-C19, and C20-C24were having phase change temperatures from 20.6 to 35.8 °C and enthalpy storage capacity from 215.1 to 265.6 °C. While preparing eutectic mixtures, the Schrader equation was used to estimate the eutectic composition points, and then the accuracy of the equation was examined. The studies were conducted based on Differential Scanning Calorimetry (DSC), which has extremely high accuracy. The ranges and dynamics of the analysis methods were chosen according to the needs of potential applications. Besides, varios compositions were investigated to determine the eutectic point experimentally. Mixing was found having a negative effect on the phase change enthalpy. This study, therefore, revealed whether eutectic mixtures have suitable enthalpy as well as phase transition temperature for the desired application area.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A theoretical exploration of quantum dots and nanowires as next-generation photovoltaics","authors":"Sumit Kumar Maitra ,&nbsp;Konda Raju ,&nbsp;GV Swathi ,&nbsp;BV Sai Thrinath ,&nbsp;Umakanta Choudhury ,&nbsp;Nagaraju Budidha ,&nbsp;Dessalegn Bitew Aegeegn","doi":"10.1016/j.seja.2024.100085","DOIUrl":"10.1016/j.seja.2024.100085","url":null,"abstract":"<div><div>The demand for sustainable energy continues to grow due to the depletion of traditional energy sources. Photovoltaics (PVs) are among the most effective energy harvesting technologies that support sustainable energy production. However, conventional PV cells face certain limitations. Quantum dots (QDs) and nanowires (NWs) are promising materials poised to advance next-generation PV technologies. QDs possess size-tunable electronic properties and high absorption coefficients, potentially increasing the spectral range of sunlight harnessed, leading to higher energy conversion efficiencies. NWs, on other hand have high aspect ratios and efficient charge transport capabilities, that offer significant improvements in light absorption and carrier collection. By integrating QDs and NWs into PV structures, it is possible to overcome the limitations of conventional silicon-based PV cells. This current narrative review explores the theoretical basis of the emergence of QDs and NWs as next-generation PVs. It discusses the fundamental principles of QDs and NWs in PV applications, exploring their synthesis, properties, and integration into solar cell devices. Furthermore, the review highlights recent advancements, challenges, and potential future directions in the sustainable electric energy arena.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100085"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143168226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RES curtailments in Cyprus: A review of technical constraints and solutions","authors":"P. Therapontos ,&nbsp;R. Tapakis ,&nbsp;P. Aristidou ,&nbsp;A.G. Charalambides","doi":"10.1016/j.seja.2025.100097","DOIUrl":"10.1016/j.seja.2025.100097","url":null,"abstract":"<div><div>The increasing penetration of renewable energy sources (RES) in small, isolated power systems such as Cyprus has led to significant curtailments due to technical constraints, resulting in substantial energy losses and economic impacts. This study analyzes the drivers, trends, and mitigation strategies for RES curtailments in Cyprus, where annual curtailment rates surged from 2 % (2022) to 13 % (2024), with monthly photovoltaic (PV) curtailment exceeding 28 % during low-demand periods. System-wide constraints, particularly minimum inertia requirements and ramp rate limitations of conventional generators, dominate curtailment causes, exacerbated by Cyprus's seasonal demand variability and a 780 MW PV installed capacity. Historical data reveal a 500 % increase in high-curtailment days (≥200 MWh) from 2022 to 2024, with simulations forecasting further escalation as PV capacity approaches 1 GW by 2027. Operational procedures prioritize curtailing large-scale RES installations first, thus raising equity concerns for disproportionately affected stakeholders. Mitigation strategies evaluated include infrastructure enhancements like the 1 GW HVDC Great Sea Interconnector and retrofitting aging plants as synchronous condensers to bolster inertia, alongside operational measures such as energy storage systems (ESS)—deploying 80 MW/240 MWh batteries could reduce curtailments to 10 % by 2025. Demand-side flexibility, particularly elastic electric vehicle charging, and AI-enhanced forecasting are identified as cost-effective supplements. However, reducing the minimum stable generation level (MSGL) to accommodate higher RES penetration risks frequency instability, as demonstrated by transient simulations showing critical rate of change of frequency (RoCoF) thresholds exceeding 1 Hz/s during generator outages. The study concludes that a hybrid approach combining grid reinforcement, ESS deployment, and market-driven demand response is essential to align Cyprus's RES growth with EU decarbonization targets while ensuring grid reliability.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143576888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Forced convection through metal foams filled in solar photovoltaic module","authors":"Syed Mustafkhadri ,&nbsp;Banjara Kotresha ,&nbsp;Kishan Naik ,&nbsp;Shashikumar C M","doi":"10.1016/j.seja.2025.100120","DOIUrl":"10.1016/j.seja.2025.100120","url":null,"abstract":"<div><div>This study presents a comprehensive 3D numerical analysis of fluid flow and heat transfer in a solar photovoltaic (PV) module enhanced with a sustainable cooling mechanism using highly porous aluminum metal foams. The primary objective is to improve the thermal performance of the solar panel and, in turn, enhance its electrical efficiency. The investigation considers metal foams with different pores per inch (PPI) 10, 20, 30, and 45 to evaluate their effectiveness in augmenting heat dissipation. The PV module examined has dimensions of 640 mm × 540 mm × 25 mm and is positioned at an inclination corresponding to the local latitude. The simulations are carried out under constant solar radiation heat flux, with varying inlet mass flow rates. The Darcy Extended Forchheimer (DEF) and Local Thermal Equilibrium (LTE) assumptions are applied to simulate forced convection within the porous medium. The numerical outcomes are validated against existing literature and obtained good agreement. Results reveal a significant reduction in the surface temperature of the PV module by approximately 22–25 °C when high-porosity metal foams are used in the cooling channel. Consequently, the electrical efficiency of the PV module improves from 8–9 % to 12–13 %. Additionally, increasing the inlet fluid flow rate enhances the heat transfer but is less effective compared to the inclusion of metal foams. Among the tested configurations, the 45 PPI foam exhibits the highest thermal performance, transferring 3.92 times more heat than the non-porous case, and achieving the greatest enhancement ratio (Er), especially at a mass flow rate of 7 l/min.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"5 ","pages":"Article 100120"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145319635","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 minute-resolution downscaling algorithm for high-resolution global irradiance time series","authors":"Diamantis Almpantis ,&nbsp;Henrik Davidsson ,&nbsp;Martin Andersson","doi":"10.1016/j.seja.2024.100076","DOIUrl":"10.1016/j.seja.2024.100076","url":null,"abstract":"<div><div>Numerous studies have demonstrated the significant impact of the resolution of solar irradiation data on the outcomes of hourly production models. Accurate integration of photovoltaic (PV) systems sometimes demands a high-resolution global horizontal irradiance (GHI) time series to capture the rapid fluctuations in PV power output induced by swift irradiance changes. Most of the available databases provide data at hourly resolution, leading to a lack of accuracy in PV simulations. Those existing hourly averages of global horizontal irradiance in open sources fail to represent this volatility adequately, especially when PV systems are coupled with fast ramp rate technologies. In the present work, an easy-to-use algorithm is implemented to synthesize high-resolution GHI time series from hourly averaged and clear sky irradiance datasets. By employing Linear interpolation, a technique that helps to achieve the desired time resolution and afterward computing critical factors, the algorithm identifies periods characterized by short-term weather phenomena, thus creating a high-resolution time series that accurately represents these dynamics. Avoiding the probabilistic components and machine learning techniques conserves computational power and reduces calculation time, but this comes at the cost of reduced fidelity in reproducing the results. Improving accuracy in PV simulations is not always directly related to reproducing real phenomena, but enhancing the amount of information contained in the data is sufficient. This study’s approach enhances user-friendliness and facilitates seamless integration into existing energy modeling frameworks, aiming for representation with sub-hourly time steps. The algorithm’s effectiveness is demonstrated by applying the model to hourly averaged data to revert them to a one-minute time step, and finally comparing the synthetically produced one-minute GHI data to the original measured data. The comparative analysis between synthesized and measured data demonstrated a strong agreement, with normalized mean bias error (MBE) values ranging between 1.8% and 9.6% and normalized root mean square error (NRMSE) values between 2.7% and 16.1%, depending on weather conditions. Additionally, the coefficient of determination (R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>) consistently remained above 0.64. Successful algorithm validation makes our algorithm suitable for use in meteorological datasets and locations, with similar climatic characteristics.</div></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100076"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Categorizing Indian states based on operating condition of photovoltaic system","authors":"Arti Pareek ,&nbsp;Humaid Mohammed Niyaz ,&nbsp;Manish Kumar ,&nbsp;Rajesh Gupta","doi":"10.1016/j.seja.2024.100052","DOIUrl":"https://doi.org/10.1016/j.seja.2024.100052","url":null,"abstract":"<div><p>Electricity generation of a photovoltaic (PV) module is primarily affected by local weather conditions, which vary significantly across vast geographic areas. This work introduces an approach to categorize Indian states based on outdoor operating conditions of PV modules that influence performance and reliability. Module temperature and irradiance are the two most important parameters which affect PV performance. Relative humidity (RH), module temperature, and global horizontal irradiance (GHI) are the three most important parameters that affect PV reliability. In this work, the PV module's most frequent operating condition (MFOC) of temperature and irradiance corresponding to maximum energy production has been analyzed for dominant PV technology (multi-crystalline silicon). Data from various sites across India were analyzed and subsequently grouped by state as PV installation decisions are generally based on state-level factors, such as state business policies, incentives, availability of local human resources, state power policies, etc. The MFOC method used in this work was supported by experimental results. Based on estimated states' MFOC, PV module output power has been obtained and compared with its rated power. Further in this work, major stressors affecting PV modules namely average RH, module temperature, and total annual GHI have been analyzed for different Indian states. Based on these specific stressors, states with similar stressor patterns have been grouped by the k-means clustering method. Results of MFOC estimation show potential for additional standardization methods to estimate PV system performance accurately. Statistical analysis of stressors highlights the importance of selecting PV technology modules carefully.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100052"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113124000020/pdfft?md5=893fb049e3d8cb8e774eca62597837e1&pid=1-s2.0-S2667113124000020-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139419340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the performance and operation of a photovoltaic-battery heat pump system based on field measurement data","authors":"Shubham Baraskar ,&nbsp;Danny Günther ,&nbsp;Jeannette Wapler ,&nbsp;Manuel Lämmle","doi":"10.1016/j.seja.2023.100047","DOIUrl":"https://doi.org/10.1016/j.seja.2023.100047","url":null,"abstract":"<div><p>Photovoltaic-heat pump (PV-HP) combinations with battery and energy management systems are becoming increasingly popular due to their ability to increase the autarchy and utilization of self-generated PV electricity. This trend is driven by the ongoing electrification of the heating sector and the growing disparity between growing electricity costs and reducing feed-in tariffs in Germany. Smart control strategies can be employed to control and optimize the heat pump operation to achieve higher self-consumption of PV electricity. This work presents the evaluation results of a smart-grid ready controlled PV-HP-battery system in a single-family household in Germany, using 1-minute-high-resolution field measurement data. Within 12 months evaluation period, a self-consumption of 43 % was determined. The solar fraction of the HP amounts to 36 %, enabled also due to higher set temperatures for space heating and domestic hot water production. Accordingly, the SPF decreases by 4.0 % the space heating and by 5.7 % in the domestic hot water mode. The combined seasonal performance factor for the heat pump system increases from 4.2 to 6.7, when only considering the electricity taken from the grid and disregarding the locally generated electricity supplied from photovoltaic and battery units.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100047"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113123000153/pdfft?md5=6931ba6b3cdc969d9d1bfab7e54342a5&pid=1-s2.0-S2667113123000153-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139107383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Testing solar cookers for cooking efficiency","authors":"Alan W. Bigelow,&nbsp;Justin Tabatchnick,&nbsp;Caitlyn Hughes","doi":"10.1016/j.seja.2024.100053","DOIUrl":"10.1016/j.seja.2024.100053","url":null,"abstract":"<div><p>Solar Cookers International (SCI) staff developed and implemented a calculation to measure the cooking efficiency of solar thermal cookers. The calculation complements and enhances SCI's existing performance evaluation process (PEP), which can now be used for determining both the standard cooking power and the cooking efficiency for solar thermal cookers. The standard cooking power value is a single measure of solar cooker performance taken when the temperature of the test water load is specifically 50 °C greater than ambient temperature. Cooking efficiency values extend the perspective of solar cooker performance, as they are applicable to a continuum of load temperature measurements made during a heating cycle. Cooking efficiency is the ratio of energy absorbed by the solar cooking load divided by the input solar energy intercepted by the device during a test interval. Examples of cooking efficiency calculations using water loads during three days of testing for an anonymous group of different types of solar cookers are: solar box oven (18.9 %), reflective-panel solar cooker (28.5 %), parabolic reflector (35.2 %), and evacuated-tube solar cooker (34.6 %).</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113124000032/pdfft?md5=4dba4f71c5d2eba416013d5454e87e75&pid=1-s2.0-S2667113124000032-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139634489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing calibrated analog and dynamical ensemble solar forecasts","authors":"Dazhi Yang ,&nbsp;Yu Kong ,&nbsp;Bai Liu ,&nbsp;Jingnan Wang ,&nbsp;Di Sun ,&nbsp;Guoming Yang ,&nbsp;Wenting Wang","doi":"10.1016/j.seja.2023.100048","DOIUrl":"10.1016/j.seja.2023.100048","url":null,"abstract":"<div><p>Ensemble modeling is a chief strategy for probabilistic forecasting. In weather forecasting, analog ensemble, which operates under the principle that weather patterns often repeat, and dynamical ensemble, which generates equally likely trajectories of future weather by perturbing the initial and boundary conditions, constitute the two most common approaches to making ensembles. That said, in the field of solar forecasting, nor is there any head-to-head comparison made thus far in regard to understanding the relative performance of these two competing approaches; this work seeks to fill the gap. Four years (2017–2020) of operational forecasts, at seven locations, from the European Centre for Medium-Range Weather Forecasts (ECMWF) are used, and both the raw and post-processed versions of the ensemble irradiance forecasts are verified in a fair and thorough fashion. Three classical post-processing methods, namely, Bayesian model averaging, nonhomogeneous Gaussian regression, and quantile regression, are applied to both the analog ensemble forecasts derived from ECMWF’s high-resolution control forecasts and dynamical ensemble forecasts from ECMWF’s Ensemble Prediction System. It is found that analog ensemble before post-processing possesses some advantage in terms of calibration over dynamical ensemble; their average reliability values are 0.6 W/m<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> and 8.2 W/m<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>, respectively. However, dynamical ensemble after post-processing becomes generally more attractive, obtaining an average continuous ranked probability score of 49.0 W/m<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>, against 51.7 W/m<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> for AnEn.</p></div>","PeriodicalId":101174,"journal":{"name":"Solar Energy Advances","volume":"4 ","pages":"Article 100048"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667113123000165/pdfft?md5=4d76f0d88d08df2bebbdfe0801415b99&pid=1-s2.0-S2667113123000165-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138988759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}