Comparison of Drone-based IR-imaging with Module Resolved Monitoring Power Data

Teubner J, Kruse I, Scheuerpflug H, Buerhop-Lutz C, Hauch J, Camus C, Brabec C (2017)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Publisher: Elsevier Ltd

Book Volume: 124

Pages Range: 560-566

Conference Proceedings Title: Energy Procedia

Event location: Freiburg DE

DOI: 10.1016/j.egypro.2017.09.094

Abstract

Two testing methods for photovoltaic (PV) plants, an infrared (IR)-measurement aerial system and a monitoring system on module level, are compared with respect to their capabilities for identifying irregularities of PV panels in a PV plant. For the first method, a hypothesis is tested that infrared temperature and module power can be correlated with an empirical linear correlation using the raw measurement data of the second method. A workaround is proposed how to quantify power losses for unknown PV plants showing at the same time how power losses depend on ambient conditions. Also, the data is used to improve results from the IR-measurements. The second method is explained to compare the two methods. It is shown that each method offers different advantages, helping to properly assess and schedule O&M measures.

Authors with CRIS profile

Christoph Brabec Institute Materials for Electronics and Energy Technology (i-MEET)

Involved external institutions

Bayerisches Zentrum für Angewandte Energieforschung e.V. (ZAE Bayern) DE Germany (DE) SunSniffer GmbH & Co. KG DE Germany (DE)

How to cite

APA:

Teubner, J., Kruse, I., Scheuerpflug, H., Buerhop-Lutz, C., Hauch, J., Camus, C., & Brabec, C. (2017). Comparison of Drone-based IR-imaging with Module Resolved Monitoring Power Data. In Elsevier Ltd (Eds.), Energy Procedia (pp. 560-566). Freiburg, DE: Elsevier Ltd.

MLA:

Teubner, Janine, et al. "Comparison of Drone-based IR-imaging with Module Resolved Monitoring Power Data." Proceedings of the 7th International Conference on Silicon Photovoltaics, SiliconPV 2017, Freiburg Ed. Elsevier Ltd, Elsevier Ltd, 2017. 560-566.

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