Sustainable low-carbon AI control framework for urban district heating system

Sustainable low-carbon AI control framework for urban district heating system | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Sustainable low-carbon AI control framework for urban district heating system Liu Junjie, Wang Yanmin, Li Zhiwei, Meng Han, Sun Yiwen, Zhuang Yu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5131794/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract In urban district heating systems (DHSs) of China, the conventional system control method can easily lead to uneven indoor temperature of end buildings, resulting in high energy consumption. The carbon emission of DHSs exceeds the total carbon emissions of the United Kingdom. Here we establish a sustainable low-carbon control framework that integrates artificial intelligence (AI) capabilities, covering the entire process of indoor temperature sensing, transmission, analysis, and utilization. The heating plan is developed using AI prediction methods and is corrected based on the deviation between indoor temperature measured and set values. We validate this solution in an actual DHS, with indoor temperature stability exceeding 0.95 and a heat saving range of 5.16-8.01%. According to rough estimates, 29.66 million tons of carbon emissions can be reduced annually from DHS. Our research can improve user's thermal comfort, reduce heat consumption, and contribute to achieving carbon emissions and sustainability for DHS. Earth and environmental sciences/Environmental sciences/Environmental impact Earth and environmental sciences/Environmental sciences/Environmental chemistry/Environmental monitoring Physical sciences/Energy science and technology/Energy infrastructure/Energy grids and networks Physical sciences/Engineering/Energy infrastructure/Energy grids and networks Full Text Additional Declarations There is NO Competing Interest. Supplementary Files 1energysubstation.csv Dataset 1 2energysensor.csv Dataset 2 3energytemperature.csv Dataset 3 4energyoperation.csv Dataset 4 5energyweather.csv Dataset 5 Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5131794","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":363238537,"identity":"d0f01cc4-1c1f-4887-83e0-592029555a53","order_by":0,"name":"Liu 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