Infrared Thermography for the Detection and Characterization of Photovoltaic Defects: Comparison between Illumination and Dark Conditions

Newly installed renewable power capacity has been increasing incredibly in recent years. For example, in 2018, 181 GW were installed worldwide. In this scenario, in which photovoltaic (PV) energy plays a leading role, it is essential for main players involved in PV plants to be able to identify the failure modes in PV modules in order to reduce investment risk, to focus their maintenance efforts on preventing those failures and to improve longevity and performance of PV plants. Among the different systems for defects detection, conventional infrared thermography (IRT) is the fastest and least expensive technique. It can be applied in illumination and in dark conditions, both indoor and outdoor. These two methods can provide complementary results for the same kind of defects, which is analyzed and characterized in this research. Novel investigation in PV systems propose the use of a power inverter with bidirectional power flow capability for PV plants maintenance, which extremely facilitates the electroluminescence (EL) inspections, as well as the outdoor IRT in the fourth quadrant.

[1]  Otwin Breitenstein,et al.  Shunts due to laser scribing of solar cells evaluated by highly sensitive lock-in thermography , 2001 .

[2]  M. Wolf,et al.  SERIES RESISTANCE EFFECTS ON SOLAR CELL MEASUREMENTS , 1963 .

[3]  W. Herrmann,et al.  Hot spot investigations on PV modules-new concepts for a test standard and consequences for module design with respect to bypass diodes , 1997, Conference Record of the Twenty Sixth IEEE Photovoltaic Specialists Conference - 1997.

[4]  Christoph J. Brabec,et al.  Quantitative imaging of shunts in organic photovoltaic modules using lock-in thermography , 2014 .

[5]  F. Almonacid,et al.  Comparative study of methods for the extraction of concentrator photovoltaic module parameters , 2016 .

[6]  Netramani Sagar,et al.  A review of the environmental factors degrading the performance of silicon wafer-based photovoltaic modules: Failure detection methods and essential mitigation techniques , 2019, Renewable and Sustainable Energy Reviews.

[7]  S. Zamini,et al.  Defect Analysis in Different Photovoltaic Modules Using Electroluminescence (EL) and Infrared (IR)-Thermography , 2010 .

[8]  Claudia Buerhop,et al.  Faults and infrared thermographic diagnosis in operating c-Si photovoltaic modules: A review of research and future challenges , 2016 .

[9]  Bernd Eichberger,et al.  Detecting Defects in Photovoltaic Panels With the Help of Synchronized Thermography , 2018, IEEE Transactions on Instrumentation and Measurement.

[10]  Suwoong Lee,et al.  Indoor-type photovoltaics with organic solar cells through optimal design , 2018, Dyes and Pigments.

[11]  Yunze He,et al.  Nondestructive inspection, testing and evaluation for Si-based, thin film and multi-junction solar cells: An overview , 2017 .

[12]  Fausto Pedro García Márquez,et al.  Photovoltaic plant condition monitoring using thermal images analysis by convolutional neural network-based structure , 2020, Renewable Energy.

[13]  Changan Zhu,et al.  Improved outdoor thermography and processing of infrared images for defect detection in PV modules , 2019, Solar Energy.

[14]  Marios Theristis,et al.  Modelling and experimental investigations of microcracks in crystalline silicon photovoltaics: A review , 2020 .

[15]  Yann Ménière,et al.  Predicting the costs of photovoltaic solar modules in 2020 using experience curve models , 2013 .

[16]  Oscar Duque-Perez,et al.  Quantitative failure rates and modes analysis in photovoltaic plants , 2019, Energy.

[17]  W. S. Rasband,et al.  ImageJ: Image processing and analysis in Java , 2012 .

[18]  Jae Won Shim,et al.  Polymer surface modification to optimize inverted organic photovoltaic devices under indoor light conditions , 2018, Solar Energy Materials and Solar Cells.

[19]  Ken-Tsung Wong,et al.  Device characteristics and material developments of indoor photovoltaic devices , 2020 .

[20]  B. Kubicek,et al.  Optical Characterization of Different Thin Film Module Technologies , 2015 .

[21]  Priscila Gonçalves Vasconcelos Sampaio,et al.  Photovoltaic solar energy: Conceptual framework , 2017 .

[22]  Elizabeth Harder,et al.  The costs and benefits of large-scale solar photovoltaic power production in Abu Dhabi, United Arab Emirates , 2011 .

[23]  Govindasamy Tamizhmani,et al.  Field Inspection of PV Modules: Quantitative Determination of Performance Loss due to Cell Cracks Using EL Images , 2017 .

[24]  Marco Raugei,et al.  Life cycle impacts and costs of photovoltaic systems: Current state of the art and future outlooks , 2009 .

[25]  Yunze He,et al.  Electromagnetic Induction Heating and Image Fusion of Silicon Photovoltaic Cell Electrothermography and Electroluminescence , 2020, IEEE Transactions on Industrial Informatics.

[26]  Oscar Duque-Perez,et al.  Technological review of the instrumentation used in aerial thermographic inspection of photovoltaic plants , 2018, Renewable and Sustainable Energy Reviews.

[27]  Luis Hernández-Callejo,et al.  Nondestructive characterization of solar PV cells defects by means of electroluminescence, infrared thermography, I–V curves and visual tests: Experimental study and comparison , 2020 .

[28]  L. Moore,et al.  Five years of operating experience at a large, utility‐scale photovoltaic generating plant , 2008 .

[29]  W. Herrmann,et al.  Thermal and electrical effects caused by outdoor hot‐spot testing in associations of photovoltaic cells , 2003 .

[30]  J. M. Ruiz,et al.  Computer simulation of shading effects in photovoltaic arrays , 2006 .

[31]  M. C. Alonso-Garcı́aa,et al.  Experimental study of mismatch and shading effects in the I–V characteristic of a photovoltaic module , 2005 .

[32]  Christian Riess,et al.  Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images , 2018, Solar Energy.

[33]  Luis Hernández-Callejo,et al.  Novel Utility-Scale Photovoltaic Plant Electroluminescence Maintenance Technique by Means of Bidirectional Power Inverter Controller , 2020, Applied Sciences.

[34]  Marco Paggi,et al.  Quantitative analysis of electroluminescence and infrared thermal images for aged monocrystalline silicon photovoltaic modules , 2017 .

[35]  Gabi Friesen,et al.  Review of Failures of Photovoltaic Modules , 2014 .

[36]  Filippo Spertino,et al.  Monitoring and checking of performance in photovoltaic plants: A tool for design, installation and maintenance of grid-connected systems , 2013 .

[37]  Joshua S. Stein,et al.  Review on Infrared and Electroluminescence Imaging for PV Field Applications , 2018 .