Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells

Authors

Keywords:

aging, degradation, energy, fault detection, modelling, photovoltaic energy, solar

Abstract

Photovoltaic solar energy has evolved to be a viable and popular alternative for the generation of electricity. To analyze the profitability of these renewable energy systems, computer modelling of the solar devices has become a necessary and widespread practice in the academic and industrial world. The modelling not only allows the estimation of the electric productivity but also the estimation of the amortization of a solar installation. However, aging and deterioration of photovoltaic modules have been little studied yet and when these aging effects can be an important source of power degradation on solar cells and fault generation, and thus a cause of mismatching on amortization deadlines. In this work, based on a proposed long-term behavioral generator model, the most common aging mechanisms of solar panels have been modelled and simulated. The results have been validated against a real solar medium-high power generator designed for grid connection in Spain. Results allow to measure the efficiency of these photovoltaics energy systems, get better accuracy of their amortization and estimate the power degradation range of photovoltaic modules.

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Author Biographies

Andrés Guisández Hernández, Universidad Complutense de Madrid

Andrés Guisández Hernández Graduado en Ciencias Físicas (2016) y Máster en Energía (2017) por la Universidad Complutense de Madrid. Posee experiencia en el desarrollo de software, tratamiento de datos y simulación física dentro del ámbito de la energía. Interesado en los campos de simulación física, modelos matemáticos, energía solar fotovoltaica, transición energética y sostenibilidad energética.

Matilde Santos Penas, Universidad Complutense de Madrid

Matilde Santos Peñas Licenciada y doctora en Ciencias Físicas por la Universidad Complutense de Madrid. Es Catedrática de Ingeniería de Sistemas y Automática en la Facultad de Informática. Ha publicado números artículos en revistas científicas indexadas, así como capítulos de libros. Ha dirigido más de 10 tesis doctorales. Participa y dirige proyectos de investigación nacionales, internacionales y europeos.
Sus principales líneas de investigación son la aplicación de la Inteligencia Artificial al control, modelado y simulación, aplicaciones de las técnicas de Soft Computing y las energías renovables, eólica y solar.

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Published

2021-03-19

How to Cite

Guisández Hernández, A., & Santos Penas, M. (2021). Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells. IEEE Latin America Transactions, 19(8), 1270–1277. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/4426

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