面向双碳目标的自动化和智能化理论与技术  

Theory and Technology of Automation and Intelligence for Dual Carbon Target

作　　者：柴天佑 钱锋[3] 管晓宏[4,5] 丁进良 堵威 徐占伯 杨涛 刘克[6] 何杰[6] 宋苏[6] 赵瑞珍[6] 王志衡 刘屿 Tianyou Chai;Feng Qian;Xiaohong Guan;Jinliang Ding;Wei Du;Zhanbo Xu;Tao Yang;Ke Liu;Jie He;Su Song;Ruizhen Zhao;Zhiheng Wang;Yu Liu(Northeastern University,State Key Laboratory of Synthetical Automation for Process Industries,Shenyang 110819;Northeastern University,National Engineering Technology Research Center for Metallurgical Industry Automation,Shenyang 110819;East China University of Science and Technology,School of Information Science and Engineering,Shanghai 200237;Xi'an Jiaotong University,Ministry of Education Key Lab for Intelligent Networks and Network Security,Xian 710049;Tsinghua University,Center for Intelligent and Networked Systems,Beijing 100084;Department of Information Sciences,National Natural Science Foundation of China,Beijing 100085;School of Automation Science and Engineering,South China University of Technology,Guangzhou 510641)

机构地区：[1]东北大学流程工业综合自动化国家重点实验室,沈阳110819 [2]东北大学国家冶金自动化工程技术研究中心,沈阳110819 [3]华东理工大学信息科学与工程学院,上海200237 [4]西安交通大学智能网络与网络安全教育部重点实验室,西安710049 [5]清华大学智能与网络化系统研究中心,北京100084 [6]国家自然科学基金委员会信息科学部,北京100085 [7]华南理工大学自动化科学与工程学院,广州510641

出　　处：《中国科学基金》2024年第4期560-570,共11页Bulletin of National Natural Science Foundation of China

基　　金：辽宁辽河实验室自主科研项目(LLL23ZZ-05-01);辽宁省重点研发计划项目(2023JH26、10200011)的资助。

摘　　要：基于国家自然科学基金委员会第324期双清论坛,本文针对面向双碳目标高耗能工业低碳运行与多介质能源协同减碳调控的国家重大需求,围绕低碳工业智能化和多能互补协同智能调控的自动化与智能化系统理论、关键技术及面向应用层面的基础性问题,分析了面向双碳目标的自动化和智能化的现状与发展趋势。在低碳工业智能化方面,聚焦工业生产全流程碳排放智能建模方法,低碳工业生产全流程数字化网络化智能化,流程工业低碳绿色制造,制造业异质能源综合利用与优化调控;在多能互补协同智能调控方面,聚焦研究多介质能源转化,多介质能源供给协同调控,多能互补与源储荷调控,能源“源-网-荷-储”一体化决策与综合安全,零碳智慧能源系统的结构化变革,城市智慧能源管控。围绕上述内容,讨论了面临的挑战,给出了凝练的科学问题与主要研究方向,提出了相关的政策建议。Based on the 324th Shuangqing Forum,aiming at the national major needs on low-carbon operation of high-energy-consuming industries and coordinated carbon reduction regulation of multi-media energy toward dual carbon target,this paper focuses on the automation and intelligence system theory,key technologies and application-oriented basic issues of low-carbon industrial intelligence and multi-energy complementary coordinated intelligent regulation,and analyzes the current status and development trends of automation and intelligence for dual carbon goals.For low-carbon industrial intelligence,this paper focuses on intelligent modeling methods for carbon emissions throughout the entire industrial production process,digitalization,networking,and intelligence of the entire low-carbon industrial production process,low-carbon green manufacturing in process industries,and comprehensive utilization and optimal regulation of heterogeneous energy in manufacturing.For multi-energy complementary coordinated intelligent regulation,this paper focuses on multi-media energy conversion,multi-media energy supply coordinated regulation,multi-energy complementarity and source-storage-load regulation,energy“source-grid-loadstorage”integrated decision-making and comprehensive safety,structural changes in zero-carbon smart energy systems,and comprehensive energy management and control in cities.Around the above topics,the challenges are discussed,the concise scientific problems and main research directions are given,and relevant policy suggestions are provided.

关 键 词：双碳目标 工业智能 高耗能流程工业 多介质能源 低碳运行 协同智能调控 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]