The report addresses challenges related to forecasting wet snow, heatwaves, strong winds, and wildfires, providing a detailed analysis of RSE activities. Advanced monitoring systems for wet snow are presented. A prototype wildfire prediction system is proposed. A new methodology for identifying wet snowfall is introduced and the monthly-scale heatwave prediction is explored. The analysis aims to provide a comprehensive view of challenges and solutions in the security and resilience of the energy system against environmental threats.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1405,1324,1305,1340,1330,1339],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-195373","rapporti","type-rapporti","status-publish","hentry","tag-climate-change","tag-electricity-network-en","tag-energy-efficiency-en","tag-resilience","tag-security-en","tag-transmission-and-distribution-networks","targets-research","rapporti_tipologie-report-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":"
The interaction between intense meteorological phenomena and the electro-energy system is a topic of great relevance for transmission and distribution network operators, impacting the entire electrical system. From service disruptions to infrastructure restoration costs and compensation for not-supplied energy, this interaction poses complex challenges.<\/p>\n
<\/p>\n
Proper characterization of critical phenomena like wet snowfall, heatwaves, strong winds, and the threat of wildfires is crucial for targeted forecasting and specific monitoring. This report delves into RSE’s research activities, particularly refining the WOLF (Wet-snow Overload aLert and Forecasting) prediction system to address the issue of sleeve formation on overhead electrical conductors.<\/p>\n
<\/p>\n
Regarding the forecast of the strong wind threat, the potential adoption of statistical downscaling techniques for a more accurate wind intensity estimate is explored. Advanced monitoring systems, including ELISAm (Electric Line Ice Sag Accretion monitor) and monitoring stations for sleeve formation in collaboration with e-distribution and Terna, are presented.<\/p>\n
<\/p>\n
A prototype forecasting and alert system for wildfires is proposed, a growing threat related to prolonged droughts. Increasing interest in monthly forecasts in the electro-energy sector is driven by renewable expansion and rising extreme weather events. Escalating heatwaves intensify urban vulnerability to blackouts. Advanced prediction of these events enables more effective grid management by anticipating interventions and optimizing energy distribution.<\/p>\n
<\/p>\n
These analyses aim to provide a comprehensive view of challenges and solutions for the security and resilience of the energy system against environmental threats.<\/p>\n
<\/p>\n
The document is available on the site in Italian<\/strong><\/p>\n","link_estreno":false,"scarica_file":false,"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2023-12-31","autori":"F. D\u00b4Amico, R. Bonanno, M. Lacavalla, S. Sperati, B. Vitali, G. Quinteri, A. Lanza, E. Golinelli, G. M. Ogliari, D. Bartalesi (RSE S.p.A.)","rapporto":"","rif_rse":"23013119"},"satellite_post_url":""},"yoast_head":"\n