Dr. Archana Sinha Profile

Dr. Archana Sinha

Postdoctoral Researcher at Arizona State Univ

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Proceedings Article | 17 September 2018 Presentation + Paper

Acceleration factor for damp heat testing of PV modules

Arun Bala Subramaniyan, Archana Sinha, Shantanu Pore, Hamsini Gopalakrishna, Rong Pan, GovindaSamy TamizhMani

Proceedings Volume 10759, 107590B (2018) https://doi.org/10.1117/12.2322051

KEYWORDS: Databases, Climatology, Data modeling, Humidity, Solar cells, Resistance, Photovoltaics, Crystals, Manufacturing, Silicon

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Interconnect Metallization System (IMS) degradation of photovoltaic (PV) modules is one among the major degradation modes in the field caused by higher operating temperatures and daily/seasonal/cloud cyclic temperatures. Usually, the acceleration factor (AF) and activation energy (E_a) of IMS degradation are determined based on power degradation data. Using power degradation data may not be fully representative of a specific mechanism since the power drop could be caused by multiple degradation mechanisms. In this paper, we have used the series resistance (R_s) increase, instead of power degradation, to obtain the AF and E_a for IMS degradation mechanism in the damp heat test (85°C/85% RH). The degradation data were sourced from our qualification damp heat test database with 94 crystalline silicon modules, and two field databases of Arizona and New York climates with 615 and 236 crystalline silicon modules, respectively. A 3-step approach was implemented to determine the AF for the damp heat testing. First, the AF for the field-to-field degradation was determined based on R_s degradation rates of the modules in Arizona and New York. Second, the E_a was determined based on the AF, and hourly differences in field-to-field module temperature and relative humidity. Third, the AF was determined based on R_s increase in the damp heat test and the E_a determined using the field data in the second step. A model based on modified Peck’s equation was used to determine a generic AF for the R_s increase in qualification damp heat testing. This approach is useful to predict the service lifetime and reliability of PV modules for specific climatic regions.

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