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.     

弱光紫外星模拟器的研制

为了解决月基紫外深空观测相机地面定标的难题,研制了一种动态范围大、星等模拟精度高的紫外星模拟器。该模拟器采用5 m离轴光管作为准直光学系统,用双积分球系统作为均匀光源,可模拟3～16等星的弱目标,其星等最小分辨率为0.2等星,星等不确定度为5.48%。通过试验证明,该星模拟器完全满足月基紫外弱光星等深空观测相机地面定标的试验要求,不仅可以在实验室内标定紫外观测相机的探测能力和灵敏度,还可用于测试观测相机的其它参数指标,为发展深空高轨探测相机提供了地面定标基础。     

弱光紫外星模拟器的研制

为了解决月基紫外深空观测相机地面定标的难题,研制了一种动态范围大、星等模拟精度高的紫外星模拟器。该模拟器采用5 m离轴光管作为准直光学系统,用双积分球系统作为均匀光源,可模拟3～16等星的弱目标,其星等最小分辨率为0.2等星,星等不确定度为5.48%。通过试验证明,该星模拟器完全满足月基紫外弱光星等深空观测相机地面定标的试验要求,不仅可以在实验室内标定紫外观测相机的探测能力和灵敏度,还可用于测试观测相机的其它参数指标,为发展深空高轨探测相机提供了地面定标基础。     

Cloud and aerosol contributions to variation in shortwave surface irradiance over East Asia in July during 2001 and 2007

It is important to clarify the contributions of clouds and aerosols to the variation of surface shortwave irradiance (S) for climatological studies. This study examined the contributions of clouds and aerosols to the variation in S over East Asia (75-135°E, 20-55°N) in July during 2001 and 2007 using the index of potential radiative forcing (PRF) to characterize the temporal and geographical variations. After confirming the validity of PRF for multiyear analyses, we performed several temporal analyses of clouds and aerosols over the whole research domain. Changes in the geographical distribution, contribution histograms, and averaged values were studied. In agreement with previous studies that treated single-year cases, we confirmed that the magnitudes of the temporal changes in S variations due to clouds and aerosols were highly variable geographically. As for domain-averaged S variations, we did not observe defined trends for the research period. It was also found that the temporal variation between one parameter and its S variation was negatively correlated, from the point analyses at two locations. Based on these results, we concluded that PRF is a promising tool for research into long-term S variations. This kind of information will be quite valuable as basic data for use in climate modeling.     

Impact of average photon-energy coefficient of solar spectrum on the short circuit current of photovoltaic modules

The output energy of photovoltaic (PV) modules is influenced by the spectral irradiance distribution of the solar spectrum under outdoor conditions. To rate the precise output energy of PV modules, the correction of short circuit current (I_SC) based on actual environmental conditions is needed, because I_SC significantly depends on the shape of the spectral irradiance distribution. The average photon energy (APE) is a zero-dimensional index for spectral irradiance distribution, and APE value uniquely describes the shape of a solar spectrum. Thus, APE has an impact on I_SC of PV modules. In this contribution, the relationship between APE coefficient and I_SC of the multi-crystalline silicon, single-crystalline silicon, heterojunction intrinsic thin-layer, back contact, copper indium selenide and cadmium telluride PV modules has explored. It is revealed that APE value changes the I_SC of PV modules which appeared to have immense possibilities of I_SC correction using APE coefficient. This new approach can be very effective for precise rating the output energy of PV modules under actual outdoor conditions.     

基于探测器标准的高精度光谱辐射标准光源

本文在评述低温绝对辐射计和SIRCUS发展的基础上,讨论了基于探测器标准的光谱可调谐自校准标准光源的工作原理、发展与应用前景。在探测器型光谱辐射标准研究方面,工作在液氦温度的低温绝对辐射计不确定度达0.01%。美国国家标准与技术研究院(NIST)建立的均匀光源光谱辐照度和光谱辐亮度响应度定标装置(SIRCUS)采用一系列激光器,由低温绝对辐射计传递的硅陷阱探测器定标,不确定度已达到0.1%,成功应用于空间遥感仪器高精度辐射定标。分析认为,发展中的基于探测器标准的光谱可调谐自校准标准光源,定标精度高,自行校正老化、衰减,保证了定标精度长期稳定。     

宽光谱棱镜型太阳光谱仪设计

为实现大气层外太阳光谱辐照度(SSI)变化的长期例行监测,设计了一种星载宽光谱太阳光谱仪结构。全系统仅使用单片折反式曲面棱镜实现太阳光谱250～2500 nm的分光,并通过棱镜转动实现谱平面上多探测器的同步扫描探测;同时基于Huygens子波点扩展函数（PSF）仿真了光谱仪的光谱响应函数（SRF）和光谱分辨率。分光棱镜在±2.5°扫描转角内的全谱段子午像差小于8μm;光谱分辨率在紫外谱段(250～400 nm)为0.7～3.5 nm,可见/近红外谱段(400～1000 nm)为3.5～35.0 nm,短波红外谱段(1000～2500 nm)内为28.5～41.2 nm。整个系统结构简单紧凑,性能稳定可靠,分光和像差校正能力满足大气层外太阳光谱辐照度长期监测需求。     

光谱辐照度测量的数学模型及其方法研究

光谱辐照度是光谱辐射计量中最基本的参数，是研究各种辐射源及光电探测器特性的重要依据。为提高光谱辐照度的测量精度和量值溯源等问题，国防科工委光学计量一级站采用BB3200K高温黑体作为基准的辐射源，以新型辐射测温法为基础，通过一系列光辐射理论和几何原理推导出辐射温度与辐射光功率之间的关系；通过对光辐射功率的绝对测量，并结合低温辐射计，从而完成了光谱辐照度量值的精度测量。该理论奠基了以探测器为基础的新的光辐射量传体系。主要介绍了在光谱辐照度标准装置的项目中复现光谱辐照度所建立的数学模型及新的测试方法，给出了测量结果，并简要介绍了基于该理论的测量装置的组成及原理。     

Output irradiance uniformity in a single pass KrF amplifier

Using a model for the temporal and spatial variation of the saturation flux that considers the effects of temperature, fluorine burn-up and local E-fields on the quenching rates, it is found that long pulse operation of a KrF amplifier (τ_p > 500 ns) can result in spatial and temporal output irradiance uniformities greater than 80% across the aperture. Local E-fields are shown to be responsible for relatively large spatial saturation flux non-uniformities for short pulse KrF amplifier operation.