Ageing and seasonal effects on amorphous silicon photovoltaic modules in a Mediterranean climate

This contribution presents a field study in which the long-term behaviour of two a-Si photovoltaic plants is studied. Two grid-connected a-Si:H photovoltaic plants located in Valencia (Spain) have been monitored during their first eight years of operation under real outdoor conditions. A per-unit approach and an STC normalisation have been made to analyse and compare photovoltaic plants with differences in electrical characteristics. An averaging process of the filtered and normalised data produces a monthly averaged value that is used to evaluate the ageing and seasonal effects experienced by the two photovoltaic plants. An analysis of the variations in the per unit output power finds that a seasonal effect is superimposed on the long-term stabilisation process. The study concludes that the long-term average stabilisation factor is equal to 1,35% per year, with a seasonal effect that shows a sinusoidal variation with an average amplitude of the sinusoidal oscillation equal to 2,71% per year. An estimation of the energy yield is performed considering the different ageing approaches presented in the study. Using the factors obtained from the experimental values, the ageing and seasonal effects are modelized, and a linear and an exponential expression is proposed to fit the long-term behaviour of both a-Si photovoltaic plants. Results obtained with the statistical analysis are compared with the experimental data and it is found that the exponential behaviour matches the experimental values.(c) 2021 Elsevier Ltd. All rights reserved.

Automated summary

This contribution presents a field study on the long-term behavior of two a-Si photovoltaic plants. The study compares and analyzes the plants using a per-unit approach and STC normalization. It is found that the long-term stabilization process is affected by a seasonal effect. The study proposes linear and exponential expressions to fit the long-term behavior of the plants.