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Analysis of Photovoltaic Performance Loss Rates of Six Module Types in Five Geographical Locations

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#Photovoltaics #Renewable Energy

Publications - Article

Analysis of Photovoltaic Performance Loss Rates of Six Module Types in Five Geographical Locations

The purpose of the work is to compare different Performance Loss Rate (PLR) calculation methodologies by applying them on different PV technologies installed in different weather conditions (PV modules of the same technology/producer/model installed in Milan, Catania, Bolzano, Cyprus, etc.). Time series of data (weather and energy production data for the period 2011 – 2016) will be analyzed and, after applying a series of appropriate corrections/filters (e.g., to eliminate measurements under partial shading conditions of the installations), the data from these installations will be processed through four different statistical techniques (“traditional” Performance Ratio, moving average of the PR, PR at high irradiances, PVUSA) in order to evaluate the effectiveness of the different calculation methodologies as well as the relative uncertainty.

This paper calculates the annual performance loss rates (PLRs) of five different grid-connected photovoltaic (PV) technologies based on outdoor field measurements. The data used were collected at five different geographical locations covering five climate zones. The PLR values were determined as absolute and relative measurements for all sites and module types using seasonal time series decomposition with local regression. The results are very consistent and show clustering of the PLR for each technology, provided some explainable outliers are removed. This allows us to conclude that, with properly sized and quality-oriented systems, the influence of different climates on PV module degradation is not very strong. In the first approximation, individual degradation values calculated in a single climate zone can be considered representative of the technology in general. The reason for this is that, for defects, there is an associated activation energy, which has not yet been achieved in the systems analyzed in this study.

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Rif.RSE​

17001725

Destination​

IEEE Journal of Photovoltaics, 9, pp. 1091-1096

Publication Date

31 May 2019

Authors​

D. Bertani (RSE S.p.A.), G. Belluardo, P. Ingenhoven (EUREAC RESEARCH), G. Makrides (University of Cyprus)

Publication Type

Article

Projects

Demand management (GESTDOMANDA 2017)

Related tags

#Photovoltaics #Renewable Energy

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