Abstract
Due to the large effort in terms of time and equipment necessary for reliability testing of PV modules, the PV community has always endeavoured to obtain service life
estimates, based on an extrapolation of measurement and characterization data from accelerated aging tests or modelling.
Thus, a recently started Austrian R&D activity (“Advance! - Advanced Degradation Modelling of Photovoltaic Modules and Materials!”) addresses innovative and
complex statistical and machine learning data processing methods for digital analysis and improved modelling of the time and stress-dependent performance
(degradation & reliability) of PV modules.
estimates, based on an extrapolation of measurement and characterization data from accelerated aging tests or modelling.
Thus, a recently started Austrian R&D activity (“Advance! - Advanced Degradation Modelling of Photovoltaic Modules and Materials!”) addresses innovative and
complex statistical and machine learning data processing methods for digital analysis and improved modelling of the time and stress-dependent performance
(degradation & reliability) of PV modules.
Originalsprache | Englisch |
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Publikationsstatus | Veröffentlicht - 6 Sep. 2021 |
Veranstaltung | 38th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC) - Online Dauer: 6 Sep. 2021 → … https://www.photovoltaic-conference.com/ |
Konferenz
Konferenz | 38th European Photovoltaic Solar Energy Conference and Exhibition (EU PVSEC) |
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Zeitraum | 6/09/21 → … |
Internetadresse |