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.<\/p>\n","protected":false},"author":464,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1328,1307],"targets":[],"pubblicazioni_tipologie":[772],"class_list":["post-194894","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-photovoltaics","tag-renewable-energy-en","pubblicazioni_tipologie-article-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":192191,"post_author":"464","post_date":"2024-08-21 14:29:16","post_date_gmt":"2024-08-21 12:29:16","post_content":"","post_title":"Demand management","post_excerpt":"The research activity aims at adapting the application of electricity demand management schemes and tools to the Italian context. These tools range from systems for the visualization and presentation of electricity consumption to scattered customers, systems for optimizing withdrawal curve management according to contracted power and energy supply prices, up to the flexible management of renewable generation and consumption centers, also equipped with storage systems and that may possibly provide services to the grid. To this end, scenarios already proven in international contexts are adapted to the Italian context. ","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"demand-management-2","to_ping":"","pinged":"","post_modified":"2024-08-21 14:31:12","post_modified_gmt":"2024-08-21 12:31:12","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/demand-management-2\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"
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.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Article","link":"https:\/\/ieeexplore.ieee.org\/document\/8720235"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2019-05-31","autori":"D. Bertani (RSE S.p.A.), G. Belluardo, P. Ingenhoven (EUREAC RESEARCH), G. Makrides (University of Cyprus)","destinazione":"IEEE Journal of Photovoltaics, 9, pp. 1091-1096","rif_rse":"17001725"},"satellite_post_url":""},"yoast_head":"\n