Temperature‐dependency analysis and correction methods of in situ power‐loss estimation for crystalline silicon modules undergoing potential‐induced degradation stress testing

Spataru, Sergiu; Hacke, Peter; Sera, Dezso; Packard, Corinne; Kerekes, Tamas; Teodorescu, Remus

doi:10.1002/pip.2587

Temperature‐dependency analysis and correction methods of in situ power‐loss estimation for crystalline silicon modules undergoing potential‐induced degradation stress testing

Journal Article · Tue Jan 20 23:00:00 EST 2015 · Progress in Photovoltaics

DOI:https://doi.org/10.1002/pip.2587· OSTI ID:1400684

^[1]; Hacke, Peter ^[2]; Sera, Dezso ^[1]; Packard, Corinne ^[3]; Kerekes, Tamas ^[1]; Teodorescu, Remus ^[1]

Energy Technology Aalborg University Aalborg Denmark
National Renewable Energy Laboratory Golden CO USA
National Renewable Energy Laboratory Golden CO USA, Metallurgical and Materials Engineering Colorado School of Mines Golden CO USA

Abstract

We propose a method for in situ characterization of the photovoltaic module power at standard test conditions, using superposition of the dark current–voltage ( I–V ) curve measured at the elevated stress temperature, during potential‐induced degradation (PID) testing. PID chamber studies were performed on several crystalline silicon module designs to determine the extent to which the temperature dependency of maximum power is affected by the degradation of the modules. The results using the superposition principle show a mismatch between the power degradation measured at stress temperature and the degradation measured at 25 °C, dependent on module design, stress temperature, and level of degradation. We investigate the correction of this mismatch using two maximum‐power temperature translation methods found in the literature. For the first method, which is based on the maximum‐power temperature coefficient, we find that the temperature coefficient changes as the module degrades by PID, thus limiting its applicability. The second method investigated is founded on the two‐diode model, which allows for fundamental analysis of the degradation, but does not lend itself to large‐scale data collection and analysis. Last, we propose and validate experimentally a simpler and more accurate maximum‐power temperature translation method, by taking advantage of the near‐linear relationship between the mismatch and power degradation. This method reduces test duration and cost, avoids stress transients while ramping to and from the stress temperature, eliminates flash testing except at the initial and final data points, and enables significantly faster and more detailed acquisition of statistical data for future application of various statistical reliability models. Copyright © 2015 John Wiley & Sons, Ltd.

View Accepted Manuscript (Publisher)

Sponsoring Organization:: USDOE

OSTI ID:: 1400684

Alternate ID(s):: OSTI ID: 1226149

Journal Information:: Progress in Photovoltaics, Journal Name: Progress in Photovoltaics Journal Issue: 11 Vol. 23; ISSN 1062-7995

Publisher:: Wiley Blackwell (John Wiley & Sons)Copyright Statement

Country of Publication:: United Kingdom

Language:: English

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