Solar Energy最新文献

{"title":"Impact of field density on heliostat drag","authors":"Matthew Marano ,&nbsp;Azadeh Jafari ,&nbsp;Matthew J. Emes ,&nbsp;Maziar Arjomandi","doi":"10.1016/j.solener.2025.113926","DOIUrl":"10.1016/j.solener.2025.113926","url":null,"abstract":"<div><div>Heliostat design parameters are typically based on wind load estimations derived from isolated heliostats. Heliostats must be configured as an extended array to generate meaningful energy for a Concentrated Solar Power plant. Array based wind loading estimations from literature are not sufficient for industry to tailor a heliostats design based on a location within an array. This study conducted systematic wind tunnel experiments deriving drag coefficients across 7 rows of heliostats using load cells. The experimental setup contains 49 square heliostats arranged in a linearly staggered layout in The University of Adelaide Wind Tunnel. Two heliostat array densities of 12.5 % and 37.5 %, referred to as low-density and high-density arrays respectively, were experimentally tested with the facets normal to the flow. Compared to an isolated case, findings derived from the load cells indicate heliostat drag is overestimated at all locations within an array for densities between 12.5 % and 37.5 %. The overestimation in mean drag coefficient can be up to a factor of 70 % and 98 % in low- and high-density arrays at Rows 3.5 and 4, respectively. For interpretation of load data, flow characteristics approaching each heliostat row were quantified using a multi-hole pressure probe. In-depth analysis of the flow characteristics identified similarities to canopy flow scenarios, with high-density arrays being most similar. The similarity of flow characteristics within heliostat arrays and canopy scenarios is significant as being able to draw upon the vast literature in the field of canopy flow improves the confidence in wind load estimates within an array.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"301 ","pages":"Article 113926"},"PeriodicalIF":6.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal image-driven CNN for predicting solar photovoltaic module lifespan from hotspots","authors":"Ashwini Raorane,&nbsp;Dhiraj Magare,&nbsp;Yogita Mistry","doi":"10.1016/j.solener.2025.113965","DOIUrl":"10.1016/j.solener.2025.113965","url":null,"abstract":"<div><h3>Abstract</h3><div>Reliability research on photovoltaic (PV) modules is still underdeveloped. Environmental factors involved in decreasing system performance are studied. They depend on environmental conditions, technology, design and materials used. It is essential therefore, a detailed study on these factors to then be able to quantify module degradation. Current challenges stem from thermal-induced degradation, where hotspot formation accelerates aging processes and reduces module lifespan, directly impacting system economics and reliability. Existing inspection methods lack predictive capabilities for quantitative lifetime assessment, limiting effective maintenance planning and investment decision making. This research proposes a modified convolutional neural network (Mod-CNN) that uses thermal images to predict the lifespan of solar PV based on degradation techniques. The proposed model integrates thermal hotspot images with the corresponding average temperature data to train a specialized CNN architecture that features enhanced attention mechanisms for thermal pattern recognition. This novel approach combines physics-based degradation modeling via the Peck model with advanced machine learning techniques, achieving exceptional performance with R² (0.97), significantly surpassing conventional methodologies. Comprehensive validation across multiple datasets confirms the effectiveness of the model in accurately predicting solar module operational lifespan. In this research work, the average hotspot temperature and its corresponding degradation data for thermal images serve as the training foundation for the deep learning model implemented in MATLAB. The results demonstrate the effectiveness of the model in predicting the lifespan of solar module. This research work is especially important from a practical point of view in the solar PV installation field for planners, installers, consumers, and financers.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"302 ","pages":"Article 113965"},"PeriodicalIF":6.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive analytical modeling of perovskite (MAPbI3) solar cells: A rigorous validation via simulations and experiments","authors":"Hichem Rouigueb ,&nbsp;Mohammed Khaouani ,&nbsp;Salim Kerai ,&nbsp;Abderrahmane Zakarya Djennati ,&nbsp;Mohammed Anes Belbachir","doi":"10.1016/j.solener.2025.113996","DOIUrl":"10.1016/j.solener.2025.113996","url":null,"abstract":"<div><div>This study proposes an innovative analytical model for perovskite solar cells (PSCs) with an n-i-p structure (FTO/TiO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>/MAPbI<span><math><msub><mrow></mrow><mrow><mn>3</mn></mrow></msub></math></span>/HTM), based on an experimentally validated design. Unlike conventional approaches, our work establishes a triple comparison between numerical simulation, experimental data and analytical modeling, which enables rigorous cross-validation. First, we used Silvaco software to reproduce the structure and extract key parameters such as a short-circuit current density (J<span><math><msub><mrow></mrow><mrow><mi>SC</mi></mrow></msub></math></span>) of 22.057 mA/cm<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>, an open-circuit voltage (V<span><math><msub><mrow></mrow><mrow><mi>OC</mi></mrow></msub></math></span>) of 1.15 V, a power conversion efficiency (PCE) of 12.68%, and a fill factor (FF) of 50.03%, all in good agreement with the experimental results. Next, an analytical model based on the continuity equation was developed, incorporating interface conditions, the internal electric field, and the carrier generation profile. This model, implemented in <span>MATLAB</span>, allows the J-V curve to be plotted by combining the photogenerated and dark currents. This curve facilitates the extraction of key parameters, including J<span><math><msub><mrow></mrow><mrow><mi>SC</mi></mrow></msub></math></span> of 22.82 mA/cm<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>, V<span><math><msub><mrow></mrow><mrow><mi>OC</mi></mrow></msub></math></span> of 1.1147 V and a PCE of 12.74%, which shows a high compatibility between experimental data, the Silvaco program simulation and the analytical model. By varying the thickness of the perovskite layer through the model simulations (around 0.26 to 0.35 <span><math><mi>μ</mi></math></span>m), we observed a corresponding variation in the PCE of 15.678% (0.35 <span><math><mi>μ</mi></math></span>m). This work not only demonstrates that the analytical model is consistent with the Silvaco simulation and experimental data, but also evaluates its utility for optimizing the performance and design of PSC.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"302 ","pages":"Article 113996"},"PeriodicalIF":6.0,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Urban photovoltaics reshape radiative–convective fluxes and cooling energy demand in cities","authors":"Hamza Nisar ,&nbsp;Mattheos Santamouris ,&nbsp;Christophe Menezo ,&nbsp;Ansar Khan","doi":"10.1016/j.solener.2025.113928","DOIUrl":"10.1016/j.solener.2025.113928","url":null,"abstract":"<div><div>The rapid urbanization and transition to renewable energy are driving the adoption of rooftop photovoltaic solar panels (RPVSPs) to meet local energy demands. While their potential for clean energy generation is well-recognized, their broader impacts on urban microclimates, building energy consumption, and system performance remain poorly understood. This study examines the effects of RPVSPs on urban temperatures, energy balances, and cooling demand in Lyon, France, using high-resolution simulations with the weather research and forecasting (WRF) model. Results show that citywide installation of RPVSPs increase daytime temperatures by up to 0.72 °C, primarily because RPVSPs have a lower albedo compared to conventional rooftop surfaces, which leads to increased solar heat absorption and enhanced thermal convection between the panels and the underlying roof surfaces. This elevates the net sensible heat flux to the urban atmosphere during the daytime. Conversely, the nocturnal cooling of up to −0.42 °C results from radiative heat losses facilitated by the air gap and reduced thermal storage in RPVSPs covered roofs, enabling more efficient surface cooling after sunset. This dual thermal behavior reflects the RPVSPs influence on altering both the radiative and convective energy fluxes at the urban surface. While these effects may not exceed the cooling capacity of dedicated reflective or radiative cooling materials, the innovation in our study lies in quantifying the net thermal impact of real-world RPVSPs deployment at an urban scale. This dimension remains inadequately addressed in existing literature for temperate cities, especially in terms of balancing energy production with local microclimatic alterations. Additionally, RPVSPs reduce roof surface temperatures, cutting daytime air conditioning (AC) demand by nearly 5 %, particularly in areas with high roof-to-surface ratios. Immediate RPVSPs utilization achieved 100 % at 25 % RPVSPs coverage, offsetting 26.8 % of AC demand. At 60 % RPVSPs coverage, utilization dropped to 91.2 % with a 59.9 % AC offset, but storage enabled 100 % utilization and a 50.1 % offset. At full (100 % RPVSPs) coverage, immediate utilization declined to 64.3 % with a 73.0 % AC offset, while storage restored 100 % utilization, achieving an 85.9 % AC offset. High-resolution simulations reveal that RPVSPs simultaneously alter urban radiative–convective fluxes and cooling energy demand, highlighting their dual role in shaping city climate and energy resilience. Such strategies are vital for creating sustainable, energy-efficient urban environments that optimize renewable energy use while ensuring thermal comfort and resilience.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"301 ","pages":"Article 113928"},"PeriodicalIF":6.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Z-scheme Ag6Si2O7/CdS/C heterojunction promotes photocatalytic treatment of water-based pollutants","authors":"Fangxiao Wang ,&nbsp;Lei Shi","doi":"10.1016/j.solener.2025.114001","DOIUrl":"10.1016/j.solener.2025.114001","url":null,"abstract":"<div><div>Photocatalytic degradation of organic pollutants offers a potential solution for alleviating water environmental crises, yet traditional photocatalysts suffer from low visible light utilization, poor photocatalyst stability and rapid charge carrier recombination. Herein, we developed a novel Z-scheme Ag₆Si₂O₇/CdS/C heterojunction photocatalyst for the degradation of pollutants in water under visible light. The carbon layer protects CdS from photo-corrosion and promotes electron transfer, and further coupling of Ag₆Si₂O₇ to form Z-scheme heterojunctions can effectively separate electron-hole pairs, thereby significantly enhancing the photocatalytic activity of CdS. Under 60 min of visible light, 20 % Ag₆Si₂O₇/CdS/C achieved 99.4 % rhodamine B (RhB) removal, along with a kinetic constant of 0.070 min⁻¹, which is 16.27 times higher than pristine CdS. In addition, the 20 % Ag₆Si₂O₇/CdS/C have a good removal effect on methyl orange (MO, ∼100 %, 40 min), tetracycline (TC, 99.7 %, 60 min), ciprofloxacin (CIP, 99.5 %, 120 min), phenol (99.6 %, 120 min) and 2,4-dichlorophenol (2,4-DCP, 91.3 %, 120 min). Free radical scavenging tests showed ^<img>O₂⁻ radicals drive the degradation and the Z-scheme mechanism was illustrated. This study provides an efficient photocatalyst and new ideas for improving visible light utilization and charge separation in photocatalysis.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"301 ","pages":"Article 114001"},"PeriodicalIF":6.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “The application of large-scale organic photovoltaic modules above the canopy inside a tunnel-shaped greenhouse” [Sol. Energy 299 (2025) 113715]","authors":"Meir Teitel,&nbsp;Shay Ozer,&nbsp;Helena Vitoshkin","doi":"10.1016/j.solener.2025.114004","DOIUrl":"10.1016/j.solener.2025.114004","url":null,"abstract":"","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"302 ","pages":"Article 114004"},"PeriodicalIF":6.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive and disturbance rejection control for parabolic trough solar field under multiple disturbances and operating points using machine learning and nonlinear disturbance observer","authors":"Zhuo Chen ,&nbsp;Yong-Sheng Hao ,&nbsp;Ming Xiao ,&nbsp;Guoquan Wu ,&nbsp;Zhe Wu","doi":"10.1016/j.solener.2025.113998","DOIUrl":"10.1016/j.solener.2025.113998","url":null,"abstract":"<div><div>This paper presents a new machine learning predictive and disturbance rejection control scheme for the parabolic trough solar field (PTSF) system which suffers from multiple field disturbances, such as direct normal irradiance variations, heat transfer fluid flow fluctuations, and atmosphere temperature changes. The dynamic model and the disturbance response characteristics of the PTSF system are first investigated to facilitate the controller design. Then, a recurrent neural network (RNN) model is developed to approximate the nonlinear dynamics of PTSF system using the input–output data. Thereafter, a novel RNN-based nonlinear disturbance observer (RNN-NDOB) design is presented to handle multiple disturbances in the PTSF system. An NDOB-assisted RNN-based MPC (NDOB-MPC) is also developed to regulate the PTSF outlet temperature to track the set-point under multiple field disturbances and operating point switching conditions. Finally, a series of simulations on the PTSF system are presented to validate the RNN modeling accuracy, RNN-NDOB disturbance rejection performance, and closed-loop control performance of the proposed NDOB-MPC scheme, respectively. It shows that RNN can approximate the nonlinear dynamics of PTSF system well, and multiple field disturbances can be rejected by RNN-NDOB in real time. Furthermore, the proposed NDOB-MPC scheme exhibits superior control performance compared with two benchmark controllers, a well-tuned two-degree-of-freedom PID controller and a standard linear model predictive control. This superiority was validated across three challenging closed-loop control cases, i.e., step-type set-point tracking with input disturbance, regulation under parameter uncertainty and solar irradiance variations, and operation point switching amidst multiple simultaneous disturbances. The significant performance improvement of the proposed control scheme in these challenging cases demonstrates its promising prospect for enhancing solar energy utilization.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"302 ","pages":"Article 113998"},"PeriodicalIF":6.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental comparison of thermal, economic, and environmental outcomes in open-cut fin solar air heaters","authors":"Abhinand Maniyanthottil,&nbsp;Y. Srikanth,&nbsp;P. Balakrishnan","doi":"10.1016/j.solener.2025.113992","DOIUrl":"10.1016/j.solener.2025.113992","url":null,"abstract":"<div><div>This experimental study investigates the thermal, exergetic, economic, and environmental performance of Solar Air Heaters (SAHs) with three open-cut fin geometries (V-shaped, semi-circular, and rectangular) to address inadequate convective heat transfer that limits SAH efficiency. This work provides a systematic comparison of open-cut fin geometries under identical experimental conditions, contributing new insights to an area where prior studies have not offered direct comparative evaluation. The experimental setup comprised four parallel channels (1 m × 0.01 m × 0.015 m) with one plain absorber and three open-cut fin geometries, each having uniform geometry (0.09 m height, 0.02 m cut) with eight fins. Testing was conducted at two flow rates (0.002 and 0.0035 kg/s) throughout daylight hours. Results show V-shaped fins exhibit higher performance, achieving maximum outlet temperature of 58 °C with 23.4 % increase over plain absorber, peak energy efficiency of 66 %, and heat transfer coefficient of 23.5 W/m²K representing 70.3 % enhancement. Semi-circular fins showed intermediate performance, reaching 55 °C with 17 % improvement, while rectangular fins achieved 51 °C with 8.5 % enhancement. Economic analysis revealed V-shaped fins demonstrated shortest energy payback period of 2.82 years and lowest levelized cost at $0.156/kWh, achieving 34 % cost reduction. Environmental assessment showed maximum CO₂ mitigation of 5.38 tons over 20-year lifetime, generating $102.22 carbon credits. Study limitations include testing under specific geographical conditions and evaluation of only two mass flow rates with fixed fin dimensions. Future research should focus on parametric optimization and comprehensive lifecycle assessments with region-specific economic analysis.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"301 ","pages":"Article 113992"},"PeriodicalIF":6.0,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Field trial research of a semisubmersible floating photovoltaic platform","authors":"Puyang Zhang ,&nbsp;Xiling Qi ,&nbsp;Zhengshun Cheng ,&nbsp;Yebin Zhao ,&nbsp;Jingyi Li ,&nbsp;Linyang Zhang ,&nbsp;Conghuan Le ,&nbsp;Hongyan Ding","doi":"10.1016/j.solener.2025.113982","DOIUrl":"10.1016/j.solener.2025.113982","url":null,"abstract":"<div><div>Offshore floating photovoltaics (FPV) has received widespread attention as a new type of energy. The performance of FPV in the marine environment significantly impacts power generation efficiency, and there is a lack of research on the actual operation of FPV systems in terms of FPV’s hydrodynamic performance. This article proposes a semisubmersible FPV platform for typical sea areas with a water depth of 20 m. The platform consists of floating tubes and surrounding conical pontoons, and field trial research was conducted in the Yellow Sea, China, to research the impact of varying wave and tidal conditions on the motion response. The accuracy and reliability of the numerical calculation model are verified through the field trial data in typical wave conditions. The results show that the overall system operation of the FPV platform was stable during the marine trial. The change in tide level has the most significant impact on the mooring tension. The worse the environmental conditions, the stronger the biofouling effects produced by aquatic organisms such as seaweed, thereby reducing the motion response of the semisubmersible FPV. The more stable the environmental conditions, the better the numerical simulation results match the field trial data.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"301 ","pages":"Article 113982"},"PeriodicalIF":6.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robustness of cost-optimal energy system designs: The role of short-term extreme weather events and dispatchable generation","authors":"Wenxuan Hu ,&nbsp;Yvonne Scholz ,&nbsp;Madhura Yeligeti ,&nbsp;Eugenio Salvador Arellano Ruiz ,&nbsp;Patrick Jochem","doi":"10.1016/j.solener.2025.113984","DOIUrl":"10.1016/j.solener.2025.113984","url":null,"abstract":"<div><div>Modeling energy systems typically requires multiple weather years to ensure accurate results. However, running large-scale energy system models with multiple weather years is computationally intensive. To address this, a typical meteorological year is often used, which represents the long-term characteristics of historical weather. However, relying solely on such a representative year is insufficient due to the growing frequency of extreme weather events. It is crucial to consider how energy systems perform under extreme conditions to ensure a secure supply. This study addresses this need by focusing on weather-related extreme conditions of energy systems and employing various methods to generate synthetic weather years for a sector-coupled energy system. By configuring two system scenarios, we aim to identify a robust energy system configuration capable of accommodating all historical years. Additionally, we examine the characteristics of this system configuration and identify critical factors that influence system robustness to weather variability. Our results demonstrate the important role of dispatchable generation technologies in maintaining the security of supply. Furthermore, we find that short-term extreme events, such as 17 or 18 consecutive hours of extremely high residual load, can impose significant stress on the energy system, often exceeding the impact of longer-term extreme events.</div></div>","PeriodicalId":428,"journal":{"name":"Solar Energy","volume":"301 ","pages":"Article 113984"},"PeriodicalIF":6.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145099768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}