Recently updated on July 2nd, 2024 at 02:25 pm<\/p>","protected":false},"excerpt":{"rendered":"
Wet snowfalls in Italy continue to be one of the main causes of power interruptions for both transmission and distribution networks. Electricity operators’ resilience plans must address this extreme meteorological threat and find solutions to mitigate its effects through network reinforcement or active measures. RSE is involved through three main research lines: a historical reconstruction of wet snow loads through meteorological reanalysis (MERIDA), a forecasting system named Wet-snow Overload aLert and Forecasting (WOLF) to identify favorable conditions for the formation of wet snow sleeves on overhead conductors, and monitoring systems for sleeve formations on test spans.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1324,1340,1330],"targets":[1317],"pubblicazioni_tipologie":[778],"class_list":["post-188831","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-electricity-network-en","tag-resilience","tag-security-en","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":"
Wet snowfall in Italy remains one of the primary causes of power outages for both transmission and distribution networks. Resilience plans of electricity operators must address this extreme meteorological threat and seek solutions to mitigate its effects through network reinforcement or active measures. RSE is engaged in three main research lines: a historical reconstruction of wet snow loads through meteorological reanalysis (MERIDA), a forecasting system called Wet-snow Overload aLert and Forecasting (WOLF) to identify conditions favorable for wet-snow sleeve formation on overhead conductors, and monitoring systems for sleeve formations on test spans.<\/p>\n
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For the first activity, the reconstruction of major snow events over the past 21 years (2000-2020) combined with the ice accretion model for wet snow (Makkonen model, ISO12494:2017) has updated the map of wet-snow loads in the National Normative Aspects for Italy (NNA, 50341-2-13). Moving to the second activity, the WOLF forecasting system has recently been enhanced with additional criteria for identifying wet snowfalls based on vertical thermal gradients obtained from the WRF-ARW Numerical Weather Prediction (NWP) model.<\/p>\n
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Furthermore, forecasting conditions for freezing rain have been introduced and integrated into the WOLF alert system. Lastly, as the third activity, in addition to the Wetsnow Ice Laboratory Detection (WILD) dedicated to measuring sleeve growth on high-voltage overhead conductors (AT) and field testing of anti-icing coatings, WILD 2.0 stations have been installed in various climatic areas of Italy where severe electrical faults have occurred. The experimental spans, 75 meters long, provide measurements of snow sleeve load on various Medium Voltage (MT) conductors ranging from 16 mm\u00b2 to 150 mm\u00b2, along with key meteorological parameters involved during snow accretion. WILD 2.0 stations are equipped with ice-free weather sensors, tower cameras, load cells, IoT on conductors and aerial cables for monitoring sleeve load and span inclination.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Publication","link":"https:\/\/www.mcgill.ca\/iwais2022\/files\/iwais2022\/paperid005.pdf"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2022-06-23","autori":"M. Lacavalla , P. Marcacci , R. Bonanno , S. Sperati (RSE S.p.A.)","destinazione":"IWAIS 2022 International Workshop on Atmospheric Icing of Structures , Virtual, Montreal Canada, June 19-23, 2022","rif_rse":"22003556"},"satellite_post_url":""},"yoast_head":"\n