Measurement of thermal and electrical parameters in photovoltaic systems for predictive and cross-correlated monitorization
Autor
Toledo Arias, Carlos Alberto; Serrano Luján, Lucía; Abad López, José; Lampitelli, Antonio; Urbina Yeregui, AntonioÁrea de conocimiento
Química-FísicaTecnologías del Medio AmbientePatrocinadores
C.T. is grateful to Fundación Séneca-CARM for grant (Exp. 19768/FPI/15). The authors want to acknowledge Pedro García Trenza (from company Drónica) and Emilio Ballester (from company CRES) for sharing data and for their helpful comments. This research was funded by MINECO-Spain (including FEDER funds): Project ENE2016-79282-C5-5-R and Fundación Séneca (Región de Murcia, Spain): Project 19882-GERM-15.Realizado en/con
Universidad Politécnica de Cartagena; Universidad Rey Juan CarlosFecha de publicación
2019-02-19Editorial
MDPICita bibliográfica
Toledo C, Serrano-Lujan L, Abad J, Lampitelli A, Urbina A. Measurement of Thermal and Electrical Parameters in Photovoltaic Systems for Predictive and Cross-Correlated Monitorization. Energies. 2019; 12(4):668. https://doi.org/10.3390/en12040668Revisión por pares
SiPalabras clave
Photovoltaic systemsBIPV
Solar inverters
Monitorization and maintenance
Resumen
Photovoltaic electricity generation is growing at an almost exponential rate worldwide, reaching 400 GW(p) of installed capacity in 2018. Different types of installations, ranging from small building integrated systems to large plants, require different maintenance strategies, including strategies for monitorization and data processing. In this article, we present three case studies at different scales (from hundreds of W-p to a 2.1 MWp plant), where automated parameter monitorization and data analysis has been carried out, aiming to detect failures and provide recommendations for optimum maintenance procedures. For larger systems, the data collected by the inverters provides the best source of information, and the cross-correlated analysis which uses these data is the best strategy to detect failures in module strings and failures in the inverters themselves (an average of 32.2% of inverters with failures was found after ten years of operation). In regards to determining which module ...
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