Investigation of Dominant Failure Mode(s) for Field-Aged Crystalline Silicon PV Modules Under Desert Climatic Conditions

2014 ◽  
Vol 4 (3) ◽  
pp. 814-826 ◽  
Author(s):  
Joseph M. Kuitche ◽  
Rong Pan ◽  
GovindaSamy TamizhMani
Keyword(s):  
Failure Mode ◽  
Crystalline Silicon ◽  
Climatic Conditions ◽  
Pv Modules

Experimental investigation of observed defects in crystalline silicon PV modules under outdoor hot dry climatic conditions in Algeria

Solar Energy ◽  
2018 ◽  
Vol 159 ◽  
pp. 475-487 ◽  
Author(s):  
Ahmed Bouraiou ◽  
Messaoud Hamouda ◽  
Abdelkader Chaker ◽  
Ammar Neçaibia ◽  
Mohammed Mostefaoui ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Crystalline Silicon ◽  
Climatic Conditions ◽  
Pv Modules

scholarly journals Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic Conditions

2021 ◽  
Vol 11 (15) ◽  
pp. 7064
Author(s):  
Dang Phuc Nguyen Nguyen ◽  
Kristiaan Neyts ◽  
Johan Lauwaert
Keyword(s):  
Wind Speed ◽  
Crystalline Silicon ◽  
Operating Temperature ◽  
Thermal Inertia ◽  
Climatic Conditions ◽  
Solar Irradiation ◽  
Photovoltaic Module ◽  
Silicon Thin Film ◽  
Pv Module ◽  
Pv Modules

The operating temperature is an essential parameter determining the performance of a photovoltaic (PV) module. Moreover, the estimation of the temperature in the absence of measurements is very complex, especially for outdoor conditions. Fortunately, several models with and without wind speed have been proposed to predict the outdoor operating temperature of a PV module. However, a problem for these models is that their accuracy decreases when the sampling interval is smaller due to the thermal inertia of the PV modules. In this paper, two models, one with wind speed and the other without wind speed, are proposed to improve the precision of estimating the operating temperature of outdoor PV modules. The innovative aspect of this study is two novel thermal models that consider the variation of solar irradiation over time and the thermal inertia of the PV module. The calculation is applied to different types of PV modules, including crystalline silicon, thin film as well as tandem technology at different locations. The models are compared to models that are described in the literature. The results obtained in different time steps show that our proposed models achieve better performance and can be applied to different PV technologies.

Failure Mode Analysis of PV Modules in Different Climatic Conditions

2020 ◽  
pp. 1-8
Author(s):  
Birinchi Bora ◽  
O. S. Sastry ◽  
Rajesh Kumar ◽  
Rajiv Dubey ◽  
Shashwata Chattopadhyay ◽  
...  
Keyword(s):  
Failure Mode ◽  
Climatic Conditions ◽  
Mode Analysis ◽  
Pv Modules ◽  
Failure Mode Analysis

scholarly journals Efficient Cell Segmentation from Electroluminescent Images of Single-Crystalline Silicon Photovoltaic Modules and Cell-Based Defect Identification Using Deep Learning with Pseudo-Colorization

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4292
Author(s):  
Horng-Horng Lin ◽  
Harshad Kumar Dandage ◽  
Keh-Moh Lin ◽  
You-Teh Lin ◽  
Yeou-Jiunn Chen
Keyword(s):  
Deep Learning ◽  
Defect Detection ◽  
Crystalline Silicon ◽  
Cell Segmentation ◽  
Solar Pv ◽  
Single Crystalline Silicon ◽  
Defect Inspection ◽  
Defect Identification ◽  
Pv Modules ◽  
A Cell

Solar cells may possess defects during the manufacturing process in photovoltaic (PV) industries. To precisely evaluate the effectiveness of solar PV modules, manufacturing defects are required to be identified. Conventional defect inspection in industries mainly depends on manual defect inspection by highly skilled inspectors, which may still give inconsistent, subjective identification results. In order to automatize the visual defect inspection process, an automatic cell segmentation technique and a convolutional neural network (CNN)-based defect detection system with pseudo-colorization of defects is designed in this paper. High-resolution Electroluminescence (EL) images of single-crystalline silicon (sc-Si) solar PV modules are used in our study for the detection of defects and their quality inspection. Firstly, an automatic cell segmentation methodology is developed to extract cells from an EL image. Secondly, defect detection can be actualized by CNN-based defect detector and can be visualized with pseudo-colors. We used contour tracing to accurately localize the panel region and a probabilistic Hough transform to identify gridlines and busbars on the extracted panel region for cell segmentation. A cell-based defect identification system was developed using state-of-the-art deep learning in CNNs. The detected defects are imposed with pseudo-colors for enhancing defect visualization using K-means clustering. Our automatic cell segmentation methodology can segment cells from an EL image in about 2.71 s. The average segmentation errors along the x-direction and y-direction are only 1.6 pixels and 1.4 pixels, respectively. The defect detection approach on segmented cells achieves 99.8% accuracy. Along with defect detection, the defect regions on a cell are furnished with pseudo-colors to enhance the visualization.

scholarly journals Feasibility Study of the Technical and Economic Performance of Grid-Connected PV System for Selected Rooftops in UTHM

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Mohamad Fakrie Mohamad Ali ◽  
◽  
Mohd Noor Abdullah ◽  
Keyword(s):  
Feasibility Study ◽  
Crystalline Silicon ◽  
Electricity Consumption ◽  
Payback Period ◽  
Net Energy ◽  
Pv System ◽  
Pv Module ◽  
Electricity Bill ◽  
Pv Modules ◽  
Energy Metering

This paper presents the feasibility study of the technical and economic performances of grid-connected photovoltaic (PV) system for selected rooftops in Universiti Tun Hussein Onn Malaysia (UTHM). The analysis of the electricity consumption and electricity bill data of UTHM campus show that the monthly electricity usage in UTHM campus is very high and expensive. The main purpose of this project is to reduce the annual electricity consumption and electricity bill of UTHM with Net Energy Metering (NEM) scheme. Therefore, the grid-connected PV system has been proposed at Dewan Sultan Ibrahim (DSI), Tunku Tun Aminah Library (TTAL), Fakulti Kejuruteraan Awam dan Alam Bina (FKAAS) and F2 buildings UTHM by using three types of PV modules which are mono-crystalline silicon (Mono-Si), poly-crystalline silicon (Poly-Si) and Thin-film. These three PV modules were modeled, simulated and calculated using Helioscope software with the capacity of 2,166.40kWp, 2,046.20kWp and 1,845kWp respectively for the total rooftop area of 190,302.9 ft². The economic analysis was conducted on the chosen three installed PV modules using RETScreen software. As a result, the Mono-Si showed the best PV module that can produce 2,332,327.40 kWh of PV energy, 4.4% of CO₂ reduction, 9.3 years of payback period considering 21 years of the contractual period and profit of RM4,932,274.58 for 11.7 years after payback period. Moreover, the proposed installation of 2,166.40kWp (Mono-SI PV module) can reduce the annual electricity bill and CO2 emission of 3.6% (RM421,561.93) and 4.4% (1,851.40 tCO₂) compared to the system without PV system.

scholarly journals Performance of Silicon Solar Cells under the Climatic Conditions of Bangladesh, Part III. Performance of PV Cells under Defuse Light and Applicability for Home Lighting

1970 ◽  
Vol 46 (1) ◽  
pp. 117-122 ◽  
Author(s):  
M Eusuf ◽  
M Khanam ◽  
S Khatun
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Solid Surface ◽  
Tilt Angle ◽  
Crystalline Silicon ◽  
Climatic Conditions ◽  
Solar Panel ◽  
Silicon Solar Cells ◽  
Crystalline Silicon Solar Cell ◽  
Solar Home System

In part II of this series, it was reported that the solar home system (SHS) supplied by REB in some islands of the Meghna river in the district of Narsingdi could not meet the demand of the recipients in the rainy season when the sky remained overcast with cloud. The tilt angle for all installations was 45° facing south. In this study, effects of direct and diffuse sunlight with variation of tilt angles from 0° to 45° were studied using a mono crystalline silicon cell. Pyranometer and the solar panel were kept under identical conditions. Energy absorbed by the solar panel in diffuse sunlight was found 0.55% of that received by the Pyranometer under similar conditions showing that mono crystalline silicon solar cell of the type under study was not suitable for use in SHS. Moreover, the gap between the panel and the solid surface below it has significant effects on the efficiency of the solar cell. Further similar study using different kinds of cells- mono crystalline, poly crystalline and amorphous is needed for proper designs of SHS. Optimization of the gap between the panel and the solid surface below it is important for roof-mounted and ground-mounted panels. Key words: Silicon solar cells; Tilt angle; Diffuse light; Home lighting; Monocrystaline. DOI: http://dx.doi.org/10.3329/bjsir.v46i1.8114 Bangladesh J. Sci. Ind. Res. 46(1), 117-122, 2011   

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