Beyond Perovskite Solar Cells: Tellurium Iodide as a Promising Light‐Absorbing Material for Solution‐Processed Photovoltaic Application

Searching new light‐absorbing materials to replace toxic lead halide in solar cells is very important and highly desirable. In this research, we firstly demonstrated that tellurium iodide (TeI₄) could be used as a light‐absorbing material in solar cells due to its suitable optical band gap and the active lone‐pair electron orbital in Te⁴⁺. The best power conversion efficiency (PCE=3.56%) was achieved with a concentration of 0.9 M TeI₄ in DMF:DMSO (4 : 1, v,v) without any heat treatment or antisolvent dripping. Our study indicates the promising potential of TeI₄ for photovoltaic and optoelectronic applications.     

太阳米粒组织目标特性对望远镜相关跟踪系统的影响

研究太阳目标特性对太阳望远镜相关跟踪图像稳定系统的影响,采用Hinode太阳光学望远镜的观测数据,对以2min为时间间隔采样的5幅太阳米粒组织图像进行相关计算.针对国家天文台正在研制的空间太阳望远镜(SST)主光学望远镜(MOT)相关跟踪图像稳定系统,分析了太阳米粒组织随时间衍化对相关跟踪系统图像移动计算精度的影响以及米粒组织动态变化对望远镜曝光时间的影响.仿真结果表明,更换参考图像时间不能大于2min,并且在保证算法实时性的情况下,选用参考图像的尺寸与相关跟踪系统定位精度成正比.     

半导体光电结构材料及其应用

半导体光电结构材料广泛应用于信息、照明、交通、能源、医疗、军事等领域.介绍了厦门大学近年来在半导体光电结构材料研究的进展,着重介绍高Al组分AlGaN、高In组分InGaN、GaN基半导体、Si基半导体、ZnO基半导体等结构材料研发中所取得的进展及其在大功率LED、紫外LED、激光器、探测器、太阳能电池等光电器件中的应用.     

日本有机薄膜太阳能电池研究进展

通过调查近两年的最新文献资料,综述了有机太阳能电池的优劣和国际研究现状.从多个侧面阐述了日本有机太阳能研究现状,并探讨了今后有机薄膜器件研究的发展趋势和走向.     

低压太阳能草坪灯驱动控制器的设计与仿真

设计一种能在0.8V下工作的低压太阳能发光二极管草坪灯驱动控制器.控制充电回路通断的开关管集成在芯片内部,系统只需外接一个电感和光敏电阻.该驱动电路具有光开关自动控制放电、蓄电池过放迟滞保护等功能,且发光二极管灯无闪烁.仿真结果表明,芯片的工作电压为0.8～1.5V,输出平均电流在3～300 mA内可调,发光二极管灯效...     

有机玻璃自然老化和人工老化疲劳寿命的当量关系

根据有机玻璃人工加速老化的机理与自然老化的机理保持一致的原则,导出有机玻璃在应力作用下,其疲劳寿命与所接受的太阳紫外总辐射量及作用在其上应力之间的关系式;将该关系式应用于工程上,大大减少老化试验次数.将自然老化后与未老化的有机玻璃的疲劳强度进行比较,建立其疲劳强度下降率的变化规律关系式,可以估算在不同自然老化时期和在不同疲劳寿命下的疲劳强度下降率或疲劳强度.     

抛物面式太阳能聚能系统聚光特性模拟

结合集热器的光学特性,本文应用蒙特卡罗法对理想的槽型和碟型两种抛物面集热器在不同焦距、不同边缘角时焦面上的热流密度进行了计算,获得了焦距、边缘角和聚光比之间的关系。在考虑太阳不平行度、跟踪指向误差、镜面的反射误差条件下,对碟型抛物面太阳能聚能系统的辐射特性进行了数值模拟分析,获得了吸收器壁面热流分布以及边缘角对焦面热流分布的影响,为太阳能聚能系统的设计和安装提供参考依据。     

汽车太阳膜的色度与光谱特性分析

通过用带计算机控制的WGS-9型色度测量系统、UV-Vis 8500型双光束紫外-可见分光光度计和WGD-4A型光栅光谱仪定量测量和分析了某品牌汽车太阳膜的色度和光谱特性。测量分析结果表明：低红外透过率和紫外透过率与高可见光透过率是一对矛盾体,在选择太阳膜时只能有所侧重。如要求较高可见光透过的同时要避免过多紫外线照射,那应选择主波长为587.3 nm(浅蓝)或522.1 nm(钻石绿)的太阳膜。如要求较高可见光透过同时要兼顾隔热节能的功能,那么应选用色度主波长为497.3 nm(宝石蓝)或507 nm(翡翠绿)的太阳膜。     

Absorption enhancement of ultrathin crystalline silicon solar cells with frequency upconversion nanosphere arrays

A design of ultrathin crystalline silicon solar cells patterned with α-NaEr_(0.2)Y_(0.8)F_4 upconversion nanosphere(NSs) arrays on the surface was proposed. The light trapping performance ofα-NaEr_(0.2)Y_(0.8)F_4 NSs with different ratios of sphere diameter to sphere pitch was systematically studied by COMSOL Multiphysics. The influence of different NS diameters and ratio to the average optical absorption of ultrathin crystalline silicon solar cell was calculated, as well as the short circuit current densities. The results show that the average optical absorption of solar cells with 2.33 μm silicon covered by α-NaEr_(0.2)Y_(0.8)F_4 NSs of 100 nm in diameter and 5.2 in ratio has improved by 8.5% compared to planar silicon solar cells with the same thickness of silicon. The light trapping performance of different thicknesses of silicon solar cells with the optimized configuration of NSs was also discussed. The results indicate that our structure enhances the light absorption. The presented model will be the basis for further simulations concerning frequency upconversion of α-NaEr_(0.2)Y_(0.8)F_4 materials.     

Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction

The accurate prediction of the solar diffuse fraction (DF), sometimes called the diffuse ratio, is an important topic for solar energy research. In the present study, the current state of Diffuse irradiance research is discussed and then three robust, machine learning (ML) models are examined using a large dataset (almost eight years) of hourly readings from Almeria, Spain. The ML models used herein, are a hybrid adaptive network-based fuzzy inference system (ANFIS), a single multi-layer perceptron (MLP) and a hybrid multi-layer perceptron grey wolf optimizer (MLP-GWO). These models were evaluated for their predictive precision, using various solar and DF irradiance data, from Spain. The results were then evaluated using frequently used evaluation criteria, the mean absolute error (MAE), mean error (ME) and the root mean square error (RMSE). The results showed that the MLP-GWO model, followed by the ANFIS model, provided a higher performance in both the training and the testing procedures.