Non-Destructive Technique for Evaluation of Degradation on Solar Cells

Author:

Halama Maroš1,Tkáč Ján1,Monbaliu Ornella2,Zhu Ying3

Affiliation:

1. Technical University of Košice

2. Ghent University

3. South China University of Technology

Abstract

Corrosion is one of the most decisive factors determining the lifetime of materials, especially of the surface layers. Monitoring corrosion rate and mapping the overall corrosion on the surface of solar cells become very important step in preventing failures in long-term atmospheric exposure. Electrochemical noise technique in no contact to the substrate setup (ENA NOCS) as non-destructive technique was used to monitor potential and current and finally calculation of noise resistance ratio Rn was determined. The technique is already successfully executed on zinc and zinc alloy coatings [1] and organic coatings [2]. In this paper, the reliability of the corrosion monitoring system in adapting the technique to measure potential and current fluctuations on silicon based photovoltaic solar cells was verified. Tests were performed and finally compared on monocrystalline and polycrystalline silicon using different approaches (placement of sensor, intensity of light etc.) Graphical abstract: Non-destructive corrosion monitoring on solar cells

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference7 articles.

1. Halama, M., Zhu Y., Kovaľ, K., Brezinová, J.: Quantification of corrosion activity on HDG steel sheets during cyclic dip tests in classical and ecological salt solutions, In: Acta Metallurgica Slovaca, Vol. 20 (2014) pp.89-96.

2. Mabbut, S., Mills, D.J., Woodcock, C.P.: Developments of the electrochemical noise method for more practical assessment of anti-corrosion coatings, In: Progress in Organic Coatings, Vol. 59 (2007).

3. Monbaliou, O.: Application of NOCS for corrosion measurement on solar cells, Intership report from IAESTE stage at TUKE, (2013).

4. http: /www. photovoltaikbuero. de [citated 29. 07. 2014].

5. Halama, M. et. al.: Active corrosion management in automotive industry: hyphenation of electrochemical noise analysis with artificial neural networks – feasibility study, EUROCORR 2009 – The European Corrosion congress, 6. -10. 9. 2009, Nice.

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