Image Resolution Influence in Aerial Thermographic Inspections of Photovoltaic Plants

Photovoltaic energy is the renewable energy with the greatest growth and use. The tendency of the last years is directed toward the formation of increasingly larger plants, which implies that optimizing their maintenance is becoming extremely important. Aerial thermography has become a convenient quality assessment tool for photovoltaic power plants, being reliable, cost effective, and time saving. However, it is essential to be aware of its strengths and limitations in order to apply and interpret the results correctly. This paper presents a study about the influence of spatial resolution of thermographic images on the severity of failures, evaluating the results obtained in a set of experimental aerial and manual inspections performed in a 3 MW PV plant in Spain. The research analyzes how aerial thermography should be arranged as a function of the thermographic camera and lens used with the aim of satisfying the resolution requirements. Indications about the correct procedure to perform aerial thermographic inspections are also provided.

[1]  C. S. Bhatia,et al.  Combined Thermography and Luminescence Imaging to Characterize the Spatial Performance of Multicrystalline Si Wafer Solar Cells , 2015, IEEE Journal of Photovoltaics.

[2]  Diego González-Aguilera,et al.  Automatic Evaluation of Photovoltaic Power Stations from High-Density RGB-T 3D Point Clouds , 2017, Remote. Sens..

[3]  Christian Camus,et al.  Correlation between the generated string powers of a photovoltaic: Power plant and module defects detected by aerial thermography , 2016, 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC).

[4]  T. Jayakumar,et al.  Infrared thermography for condition monitoring – A review , 2013 .

[5]  Mohammadreza Aghaei,et al.  Light Unmanned Aerial Vehicles (UAVs) for Cooperative Inspection of PV Plants , 2014, IEEE Journal of Photovoltaics.

[6]  Sean A. Rands,et al.  Author response: The diversity of floral temperature patterns, and their use by pollinators , 2017 .

[7]  Y. D. leksir,et al.  Localization of thermal anomalies in electrical equipment using Infrared Thermography and support vector machine , 2018 .

[8]  Ren Renewables 2019 Global Status Report , 2012 .

[9]  Andreas K. Maier,et al.  Automatic detection and analysis of photovoltaic modules in aerial infrared imagery , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).

[10]  Hong Yang,et al.  Power Degradation Caused by Snail Trails in Urban Photovoltaic Energy Systems , 2016 .

[11]  H. Budzier,et al.  Calibration of uncooled thermal infrared cameras , 2015 .

[12]  K. R. Sekar,et al.  The Effect of Thermography on Breast Cancer Detection-A Survey , 2018 .

[13]  Kathy Steppe,et al.  Optimizing the Processing of UAV-Based Thermal Imagery , 2017, Remote. Sens..

[14]  R. Schacht,et al.  Miniaturized black body radiator for IR-detector calibration — Design and development , 2010, 2010 16th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC).

[15]  Francescomaria Marino,et al.  Quantitative and Computer-Aided Thermography-Based Diagnostics for PV Devices: Part I—Framework , 2017, IEEE Journal of Photovoltaics.

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

[17]  O. Breitenstein,et al.  Potential-Induced Degradation (PID): Introduction of a Novel Test Approach and Explanation of Increased Depletion Region Recombination , 2014, IEEE Journal of Photovoltaics.

[18]  Tapio Fabritius,et al.  Thermography based online characterization of conductive thin films in large-scale electronics fabrication. , 2018, Optics express.

[19]  T. Jayakumar,et al.  Medical applications of infrared thermography: A review , 2012, Infrared Physics & Technology.

[20]  Ricardo M.S.F. Almeida,et al.  An infrared thermography passive approach to assess the effect of leakage points in buildings , 2017 .

[21]  Jim H. Chandler,et al.  UAV image blur – its influence and ways to correct it , 2015 .

[22]  Francescomaria Marino,et al.  A Quantitative and Computer-Aided Thermography-Based Diagnostics for PV Devices—Part II: Platform and Results , 2017, IEEE Journal of Photovoltaics.

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

[24]  Sonia Leva,et al.  Investigation on Performance Decay on Photovoltaic Modules: Snail Trails and Cell Microcracks , 2014, IEEE Journal of Photovoltaics.

[25]  Björn Karlsson,et al.  Simulation, validation and analysis of shading effects on a PV system , 2018, Solar Energy.

[26]  Achintya Haldar,et al.  Effects of Ambient Temperature and Relative Humidity on Subsurface Defect Detection in Concrete Structures by Active Thermal Imaging , 2017, Sensors.

[27]  C. Buerhop-Lutz,et al.  Quality Control of PV-Modules in the Field Using Infrared-Thermography , 2011 .

[28]  Atul K. Raturi,et al.  Renewables 2016 Global status report , 2015 .