Wildfires are very damaging events for the electricity system, as they can damage electrical infrastructure or require transmission lines to be turned off to allow firefighters to put out the flames. These events are difficult to predict, as they often depend on human actions. Fire weather indices calculate the risk of wildfires using meteorological data, helping to take preventive measures. This study uses the Canadian Fire Weather Index to assess the risk of wildfires in Italy, using a high-resolution meteorological dataset. The FWI-based system is currently in operational testing.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1325,1300,1341,1340],"targets":[1304,1317],"pubblicazioni_tipologie":[778],"class_list":["post-204309","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-electrical-system","tag-industrial-sector","tag-infrastructure","tag-resilience","targets-industrial-world","targets-research","pubblicazioni_tipologie-paper-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":188405,"post_author":"93","post_date":"2024-06-13 15:10:12","post_date_gmt":"2024-06-13 13:10:12","post_content":"","post_title":"Resilience and Security for Energy Systems","post_excerpt":"The goal of the project is to increase the security and resilience of the energy system in the face of greater environmental threats due to climate change, through the development of tools to support institutions and operators and the definition of an optimal set of actions to be adopted for this purpose.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"resilience-and-security-for-energy-systems","to_ping":"","pinged":"","post_modified":"2024-07-02 10:30:30","post_modified_gmt":"2024-07-02 08:30:30","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/resilience-and-security-for-energy-systems\/","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":"
Wildfires are highly disruptive events for the continuity of the electricity system, as they can directly affect electrical infrastructures, or they need transmission overhead lines to be deactivated for allowing firefighters to deal with the flames. They are also events that are extremely hard to forecast, as they mainly need human actions (or negligence) for ignition.<\/p>\n
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Fire weather indices compute wildfire danger from meteorological data, thus allowing stakeholders to take preventive measures where there is a high fire spread risk. In this paper, the Canadian Fire Weather Index (FWI) has been used to assess daily wildfire danger over the Italian territory for the past decades, using as input the high-resolution reanalysis MERIDA HRES OI, developed by RSE S.p.A. MERIDA HRES OI is a gridded meteorological dataset at hourly resolution covering Italy, with a 4km spatial resolution.<\/p>\n
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It is a reconstruction of the past meteorological conditions using a numerical weather model and integrating experimental data through Optimal Interpolation. The FWI dataset obtained from MERIDA HRES has been tested against the EFFIS Burned Area Dataset to assess its accuracy in representing past fire-prone weather, in which wildfires ignited and spread. This analysis shows that the dataset correctly classifies more than 80% of the wildfire events in the \u201chigh\u201d danger class or above.<\/p>\n
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The study on the FWI reanalysis dataset also allowed for the development of an FWI-based wildfire danger forecasting system, currently being tested in an operational environment. A test case study is discussed to showcase the accuracy at different lead times of the FWI forecasting system prototype.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Publication","link":"https:\/\/ieeexplore.ieee.org\/document\/10736821"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2024-09-27","autori":"F. D'Amico, E. Collino, F. Viterbo, R. Bonanno (RSE S.p.A.), S. Talomo, C. Vergine (TERNA S.p.A.)","destinazione":"116th AEIT 2024 International Annual Conference, Trento 25-27 Settembre 2024","rif_rse":"24008419"},"satellite_post_url":""},"yoast_head":"\n