Proceedings ArticleDOI
IR real-time analyses for PV system monitoring by digital image processing techniques
Mohammadreza Aghaei,Alessandro Gandelli,Francesco Grimaccia,Sonia Leva,Riccardo E. Zich +4 more
- pp 1-6
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TLDR
Results have proven that digital image processing technique is very useful and reliable for IR-image analysis to identify possible defects during the PV module inspection procedure.Abstract:
PV modules as main component of PV system might be subjected to various internal or external stresses hence monitoring and maintenance are a crucial issue to assure PV module lifetime and appropriate energy performance. Current experimental research proposes an applicable approach of digital image processing technique in PV module inspection by thermography assessment. For this purpose, an algorithm was designed to perform IR images analysis. The monitoring was performed in order to detect defects and failures due to particular events on the PV systems by thermography analysis. The investigation was carried out by mounted IR thermo-camera (Flir A35) on a light Unmanned Aerial System (UAS) in Solar Tech Laboratory. The captured IR-images have been processed by proposed algorithm to determine specific defect and degradation percentage. The results have proven that digital image processing technique is very useful and reliable for IR-image analysis to identify possible defects during the PV module inspection procedure.read more
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Journal ArticleDOI
Monitoring, diagnosis, and power forecasting for photovoltaic fields: A review
Santolo Daliento,Aissa Chouder,Pierluigi Guerriero,A. Massi Pavan,Adel Mellit,R. Moeini,Pietro Tricoli +6 more
TL;DR: A wide literature review of recent advance on monitoring, diagnosis, and power forecasting for photovoltaic systems is presented in this paper, where the authors classified contributions into the following five macro-areas: (i) electrical methods, covering monitoring/diagnosis techniques based on the direct measurement of electrical parameters, carried out, respectively, at array level, single string level, and single panel level with special consideration to data transmission methods; (ii) data analysis based on artificial intelligence; (iii) power forecasting, intended as the ability to evaluate the producible power of solar
Journal ArticleDOI
Deep Learning Based Module Defect Analysis for Large-Scale Photovoltaic Farms
TL;DR: This paper presents a deep learning based solution for defect pattern recognition by the use of aerial images obtained from unmanned aerial vehicles that significantly improves the efficiency and accuracy of asset inspection and health assessment for large-scale PV farms in comparison with the conventional solutions.
Journal ArticleDOI
PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities
TL;DR: Given the size of the problem and gaps with current solutions, the authors propose that PV system owners need an unbiased third-party off-the-shelf system-level predictive maintenance tool to optimize return-on-investment and minimize time to warranty claim in PV installations.
Journal ArticleDOI
Improved outdoor thermography and processing of infrared images for defect detection in PV modules
M. Waqar Akram,Guiqiang Li,Yi Jin,Xiao Chen,Changan Zhu,Xudong Zhao,Muhammad Aleem,Ashfaq Ahmad +7 more
TL;DR: In this article, an improved outdoor infrared (IR) thermography scheme is presented, which is based on modulating the temperature of PV module through altering the electrical behavior of single cell, that causes temperature changes in series connected cells leading to different temperature conditions.
Proceedings ArticleDOI
DeepSolarEye: Power Loss Prediction and Weakly Supervised Soiling Localization via Fully Convolutional Networks for Solar Panels
TL;DR: Li et al. as discussed by the authors proposed a CNN based approach for solar panel soiling and defect analysis, which takes an RGB image of solar panel and environmental factors as inputs to predict power loss, soiling localization, and soiling type.
References
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TL;DR: The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.
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Journal ArticleDOI
Early degradation of silicon PV modules and guaranty conditions
TL;DR: Findings of PV plant evaluations carried out during last years are presented, showing the possible degradation of PV modules and hidden manufacturing defects.