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Title:
 
Correlation between the Monitoring Data of a Photovoltaic Power Plant and Module Defects Detected by Drone-Mounted Thermography
 
Author(s):
 
M. Dalsass, H. Scheuerpflug, M. Maier, C.J. Brabec
 
Keywords:
 
Monitoring, System Performance, Aerial Thermography, PV Module Defects
 
Topic:
 
OPERATIONS, PERFORMANCE AND RELIABILITY OF PHOTOVOLTAICS (FROM CELLS TO SYSTEMS)
Subtopic: Operation of PV Systems and Plants
Event: 31st European Photovoltaic Solar Energy Conference and Exhibition
Session: 5CO.15.4
 
Pages:
 
1793 - 1798
ISBN: 3-936338-39-6
Paper DOI: 10.4229/EUPVSEC20152015-5CO.15.4
 
Price:
 
 
0,00 EUR
 
Document(s): paper, presentation
 

Abstract/Summary:


Recently, drone-based aerial thermography has become a convenient quality assessment tool for the precise localization of defective modules and cells in a large photovoltaic power plant. However, thermographic recordings cannot be utilized for a quantitative estimation of the overall power generation of a solar park yet. In this context, a solar generator with a nominal power of approximately 2.36 MWp and 10,500 modules was examined using drone-based aerial thermography. The subsequent analysis of both the recorded radiometric data as well as the monitoring data of the inverters indicates a strong correlation between defective modules and the current generated in the associated string. Moreover, a cost-benefit calculation reveals that the cumulative effect of all found defective modules can result in a noticeable deficiency of receipts for both operators and investors. The results of this work will advance future automatic monitoring and early detection systems.