The project SOLAR TRAIN aims to develop novel and validated models for the service life time and energy yield prediction of PV modules and systems. PV modules’ and systems’ performances are being investigated along the entire modeling chain: climatic degradation factors, analysis of degradation and failure modes and evaluation of polymeric materials. This paper presents an overview of the current start of the art and some preliminary results from a work package on development of service lifetime prediction models for PV modules and systems.
Service Lifetime Prediction of PV Modules and Systems: Progress of the SOLAR-TRAIN Project / I., Kaaya; S., Lindig; N., Hrelja; Oviedo Hernandez, Guillermo; F., Mariottini; D., Moser; K. -A., Weiss; M., Van Iseghem; P. V., Chiantore; T. R., Betts. - (2019). (Intervento presentato al convegno 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) tenutosi a Chicago, IL, USA) [10.1109/PVSC40753.2019.8980791].
Service Lifetime Prediction of PV Modules and Systems: Progress of the SOLAR-TRAIN Project
Oviedo Hernandez Guillermo;
2019
Abstract
The project SOLAR TRAIN aims to develop novel and validated models for the service life time and energy yield prediction of PV modules and systems. PV modules’ and systems’ performances are being investigated along the entire modeling chain: climatic degradation factors, analysis of degradation and failure modes and evaluation of polymeric materials. This paper presents an overview of the current start of the art and some preliminary results from a work package on development of service lifetime prediction models for PV modules and systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
