{"id":195892,"date":"2024-09-12T17:34:37","date_gmt":"2024-09-12T15:34:37","guid":{"rendered":"https:\/\/www.rse-web.it\/rapporti\/field-testing-and-evaluation-of-innovative-optimized-management-of-a-district-heating-plant\/"},"modified":"2024-09-12T17:37:45","modified_gmt":"2024-09-12T15:37:45","slug":"field-testing-and-evaluation-of-innovative-optimized-management-of-a-district-heating-plant","status":"publish","type":"rapporti","link":"https:\/\/www.rse-web.it\/en\/reports\/field-testing-and-evaluation-of-innovative-optimized-management-of-a-district-heating-plant\/","title":{"rendered":"Field Testing and Evaluation of Innovative Optimized Management of a District Heating Plant"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>To fully leverage the synergies between the two energy vectors, electrical and thermal, the operational optimization software is a crucial tool. It enables the maximization of participation in the MGP market, identifies and utilizes flexibility in electricity production for participation in the MSD market, and increases network efficiency by adjusting the supply temperature. The developed system has been tested at the district heating plant in Novate Milanese operated by A2A.<\/p>\n","protected":false},"author":93,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1435,1411,1305,1380],"targets":[1317],"rapporti_tipologie":[762],"class_list":["post-195892","rapporti","type-rapporti","status-publish","hentry","tag-control","tag-district-heating","tag-energy-efficiency-en","tag-greenhouse-gas","targets-research","rapporti_tipologie-report-en"],"acf":{"projects":{"ID":191052,"post_author":"464","post_date":"2024-07-10 16:51:37","post_date_gmt":"2024-07-10 14:51:37","post_content":"","post_title":"Integration and coordination of the electric system with other systems (gas and water), analysis of needs, availability, performance and costs of storage systems","post_excerpt":"Improve the sustainability of the energy system through a better understanding of the availability of Renewable Energy Sources (RES) and the use of an integrated approach that can exploit synergies between different sectors.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"integration-and-coordination-of-the-electric-system-with-other-systems-gas-and-water-analysis-of-needs-availability-performance-and-costs-of-storage-systems","to_ping":"","pinged":"","post_modified":"2024-08-09 16:00:36","post_modified_gmt":"2024-08-09 14:00:36","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/integration-and-coordination-of-the-electric-system-with-other-systems-gas-and-water-analysis-of-needs-availability-performance-and-costs-of-storage-systems\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"dont_show_hompage":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"<p>Leveraging synergies between energy carriers is a key strategy for reducing consumption and greenhouse gas emissions. The optimization system for managing a district heating network was developed to maximize participation in the Day-Ahead Market (MGP), operate the plant in case of participation in the Balancing Market (MSD), and maximize network efficiency by adjusting the supply temperature while ensuring user demands are met. The software calculates the configuration of the plant&#8217;s machines and the supply temperature, ensuring not only that the thermal power required by users is met but also that the temperature at the furthest user, used as a benchmark, exceeds the minimum reference temperature. The equations in the optimizer, in addition to describing the components present in the plant, model the network using algorithms based on linear regression of experimental data. A tool for forecasting thermal load was also developed. The developed system was tested at the A2A district heating plant in Novate Milanese. The optimized management confirmed an efficiency improvement (around 4-6%), leading to a decrease in primary energy consumption and CO2 production, as well as cost reductions due to maximized participation in the MGP. Analysis comparing standard (real) operation with optimized operation over the entire 2020-2021 heating season showed that the Primary Energy Factor (FEP) improved from an average of 1.3-1.4 in the non-optimized case to around 1.04 in the optimized operation, surpassing the reference value of 1.105 for domestic gas boilers. The average efficiency for the heating season increased from 91% to 96%. Considering the entire winter heating season, the optimized management maximizes the availability of cogeneration, increasing the ratio of cogenerated heat to thermal power delivered at the plant (CHR) from 19% to 39%, resulting in benefits for the national system through a 16% reduction in both primary energy consumption and CO2 emissions. The participation in the MGP for the winter heating season was approximately 3.2 GWh out of a thermal production of 11 GWh, with flexibility contributions reaching up to around 1 GWh.<\/p>\n","link_estreno":false,"scarica_file":[{"download_option":"download","file_name":"Download Report","download":{"ID":174135,"id":174135,"title":"21010811","filename":"21010811.pdf","filesize":3238405,"url":"https:\/\/www.rse-web.it\/wp-content\/uploads\/2022\/11\/21010811.pdf","link":"https:\/\/www.rse-web.it\/en\/rapporti\/sperimentazione-in-campo-e-valutazione-della-gestione-ottimizzata-innovativa-di-una-centrale-di-teleriscaldamento\/attachment\/21010811\/","alt":"","author":"93","description":"","caption":"","name":"21010811","status":"inherit","uploaded_to":174134,"date":"2022-11-25 16:03:37","modified":"2022-11-25 16:03:37","menu_order":0,"mime_type":"application\/pdf","type":"application","subtype":"pdf","icon":"https:\/\/www.rse-web.it\/wp-includes\/images\/media\/document.png"}}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2021-12-31","autori":"A. Barbara Del Corno, A. La Bella (RSE S.p.A.)","rapporto":"","rif_rse":"21010811"},"satellite_post_url":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Field Testing and Evaluation of Innovative Optimized Management of a District Heating Plant - RSE<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.rse-web.it\/en\/reports\/field-testing-and-evaluation-of-innovative-optimized-management-of-a-district-heating-plant\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Field Testing and Evaluation of Innovative Optimized Management of a District Heating Plant - RSE\" \/>\n<meta property=\"og:description\" content=\"To fully leverage the synergies between the two energy vectors, electrical and thermal, the operational optimization software is a crucial tool. 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