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Characterization of Simulator and Relative Spectral Responsivity Measurements of photovoltaic modules with Band Pass Filter Technique

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Open Journal of Energy Efficiency 2022年第3期11卷 71-87页

作者： Meric Seval Bazkir Ozcan National Metrology Institute (TUBITAK-UME) Kocaeli Türkiye

One of the most important parameter used for the evaluation of the energy rating of PV modules is, their spectral responsivities which are the measure of electrical performance parameters per incident solar radiation. In this work, spectral responsivity measurements of a mono-crystalline, a poly-crystalline, a CIGS thin film and a bifacial module were measured using xenon-based flash type solar simulator system and a set of band pass filters. For the comprehensive characterization of parameters that may influence the spectral responsivity measurements, initially the simulator system was characterized both optically and thermally according to the IEC60904-9 and IEC60891 standard requirements. The optical characterizations in terms of spectral match, spatial non-uniformity and temporal instability indicate that the measured results (~3.0%, ~0.30% and ~0.20%) according to the IEC 60904-9 standard’s classification requirements correspond to A+A+A+ classes. Moreover, thermal characterizations in terms of the temperature uniformity show that over the 2 × 2 m area temperature uniformity of simulator system’s light distribution (1ºC) is almost two times better than the IEC 60891 standard requirements (±2ºC). Next, PV modules were electrically stabilized according to the IEC 61215-2 standard requirement’s (stability test) to reduce the fluctuations in their electrical performance parameters. Then, using the band pass filters, temperature controlled xenon-based solar simulator system and a reference PV module of the spectral responsivity of PV modules were measured from 400 nm to 1100 nm with 50 nm steps with relative uncertainty of 10-3 level.

关键词： photovoltaic modules Responsivity Solar Simulator Band Pass Filters

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Mechanical Integrity and Failure Analysis of photovoltaic modules under Simulated Snow Loads Using Pneumatic Airbag Setup

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Journal of Power and Energy Engineering 2022年第1期10卷 1-13页

作者： Nouman Ali Shah Rizwan M. Gul Zafar Hayat Khan State Key Laboratory of Polymer Materials Engineering College of Polymer Science and Engineering Sichuan University Chengdu China Department of Mechanical Engineering University of Engineering and Technology Peshawar Pakistan State Key Laboratory of Hydraulics and Mountain River Engineering College of Water Resource and Hydropower Sichuan University Chengdu China

photovoltaic (PV) modules have emerged as an ideal technology of choice for harvesting vastly available renewable energy resources. However, the efficiency of PV modules remains significantly lower than that of other renewable energy sources such as wind and hydro. One of the critical elements affecting a photovoltaic module’s efficiency is the variety of external climatic conditions under which it is installed. In this work, the effect of simulated snow loads was evaluated on the performance of PV modules with different types of cells and numbers of busbars. According to ASTM-1830 and IEC-1215 standards, a load of 5400 Pa was applied to the surface of PV modules for 3 hours. An indigenously developed pneumatic airbag test setup was used for the uniform application of this load throughout the test, which was validated by load cell and pressure gauge. Electroluminescence (EL) imaging and solar flash tests were performed before and after the application of load to characterize the performance and effect of load on PV modules. Based on these tests, the maximum power output, efficiency, fill factor and series resistance were determined. The results show that polycrystalline modules are the most likely to withstand the snow loads as compared to monocrystalline PV modules. A maximum drop of 32.13% in the power output and a 17.6% increase in series resistance were observed in the modules having more cracks. These findings demonstrated the efficacy of the newly established test setup and the potential of snow loads for reducing the overall performance of PV module.

关键词： photovoltaic modules Pneumatic Testing Setup Mechanical Integrity Electroluminescence Testing Electrical Performance

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A Classification Method of photovoltaic modules Shaded Area Based on Weighted K-nn

A Classification Method of Photovoltaic Modules Shaded Area ...

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第40届中国控制会议

作者： Lin Xia Chenxi Li Kanjian Zhang Haikun Wei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast University

In the actual operation of photovoltaic power stations,various types of shading,including leaves,bird’s droppings,and clouds,will inevitably *** shadings will affect the output power of the *** them,if a small area of shading is not removed in time,hot spots may be formed,accelerating the aging of photovoltaic modules,and not conducive to the healthy and stable operation of the overall ***,different shading objects cover different shading areas of photovoltaic modules,which cause different *** paper mainly analyzes the influence of different areas of shading on the current-voltage curve of photovoltaic modules,and proposes a classification algorithm based on weighted K-nn to classify the shading area according to the current-voltage curve characteristics of the module,which is helpful for subsequent identification of shading types and troubleshooting.

关键词： photovoltaic modules Shading Area K-Nearest Neighbor Classification

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Parameter identification and generality analysis of photovoltaic module dual-diode model based on artificial hummingbird algorithm

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Clean Energy 2023年第6期7卷 1219-1232页

作者： Zhen Li Jianke Hu Yifeng Han Hefeng Li Jun Wang Peter D.Lund Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology School of Energy&EnvironmentSoutheast UniversityNanjing 210096China PowerChina Huadong Engineering Corporation Limited No.201 Gaojiao RoadHangzhou 311122China School of Science Aalto UniversityFI-00076Aalto(Espoo)Finland

The aim of this study is to propose a photovoltaic(PV)module simulation model with high accuracy under practical working conditions and strong applicability in the engineering field to meet various PV system simulation *** previous model-building methods,this study combines the advantages of analytical and metaheuristic ***,the applicability of various metaheuristic algorithms is comprehensively compared and the seven parameters of the PV cell under standard test conditions are extracted using the double diode model,which verifies that the artificial hummingbird algorithm has higher accuracy than other ***,the seven parameters under different conditions are corrected using the analytical *** terms of the correc-tion method,the ideal factor correction is added on the basis of previous methods to solve the deviation between simulated data and measured data in the non-linear ***,the root mean squared error between the simulated current data and the measured current data of the proposed model under three different temperatures and irradiance is 0.0697,0.0570 and 0.0289 A,respectively.

关键词： photovoltaic modules dual-diode model parameter identification metaheuristic algorithms parameter correction

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Development and Cleaning Cycle Optimization of photovoltaic Module Cleaning Robot

Development and Cleaning Cycle Optimization of Photovoltaic ...

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第40届中国控制会议

作者： Lilei Jiang Bo Zhao Shengxian Cao Siyuan Fan Tianyi Sun School of Automation Engineering Northeast Electric Power University

In order to achieve a highly automated and low-cost solution to replace regular manual cleaning and improve the economic benefits of distributed photovoltaic(PV) system,an intelligent operation and maintenance cleaning robot and cleaning cycle optimization method was developed in this *** three-dimensional model of the moving vehicle,cleaning roller and control system of the cleaning robot are *** then the cleaning cycle optimization model of dust on PV modules was built based on the developed cleaning *** test and optimization results showed that using the robot to clean PV modules with dust accumulation of4 g/m,6 g/m and 8 g/m,and the cleaning efficiency reached 92.14%,91.04%,and 90.09%,*** with manual cleaning,the optimal cleaning cycle was reduced from 48.3 days to 26.5 days,and the cleaning cost was reduced from 223200 yuan to 30600 yuan for 2 MW distributed PV *** cleaning cost is greatly reduced,while the cleaning frequency is increased,and the power generation is improved.

关键词： photovoltaic modules dust accumulation cleaning robot cleaning cycle optimization cost cleaning efficiency

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