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基于智慧能源系统的低碳化工过程 被引量:3

Low-carbon Chemical Processes Based on Smart Energy Systems
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摘要 “双碳”目标为化工行业低碳转型提出了挑战,清洁能源将逐渐替代化石能源成为能源供应主体,化工过程电气化成为必然趋势。但以风力和太阳能为主体的清洁能源具有随机性、波动性和间歇性特点,而化工过程无论是“供能”还是“撤能”,都必须保障全过程的连续、稳定和安全。因此,如何实现以新能源为主体的热电供应与化工生产过程的灵活匹配和稳定衔接是当前亟需解决的重大科技难题。以太阳能塔式发热/电为例,将供能系统与原油催化裂解、化学品生产相集成,需重点开发高效储电/储热材料及系统、换热器以及基于人工智能的电、热负荷协同调控系统,实现“产-储-调-用”全链条的能量高效利用和智慧化管理,为未来低碳负碳化工过程提供新范式。 The target of“dual carbon”promotes the low-carbon transformation and upgrading of the chemical industry.And clean energy will gradually replace fossil energy as the main body for the supply of chemical process energy,thus the electrification of the chemical process becomes an inevitable trend.Clean energy,mainly wind and solar energy,has strengthened the characteristics of randomness,volatility,and intermittency,but the entire process of a chemical process,whether“energy supply”or“energy withdrawal”,must ensure continuity,stability,and safety.How to realize the new energy-based combined heat and power supply and the chemical process to match the interface has become a major problem to be resolved.Taking solar tower heat/power as an example,the integration of an energy supply system with crude oil catalytic cracking and chemical production,which requires the development of high-efficiency power/heat storage materials and systems,heat exchangers and artificial intelligence-based electric and thermal load co-regulation systems,realizing efficient energy utilization and intelligent management of the whole chain of“production-storage-regulation-use”.It will grow up to be a new paradigm of future low-carbon and carbon-negative chemical processes.
作者 张香平 海彬 Xiangping Zhang;Bin Hai(Institute of Process Engineering,Chinese Academy of Sciences,Beijing 100190;College of Chemical Engineering and Environment,China University of Petroleum-Beijing,Beijing 102249;College of Chemistry and Chemical Engineering,Henan University,Kaifeng 475000)
出处 《中国科学基金》 CSSCI CSCD 北大核心 2023年第2期238-245,共8页 Bulletin of National Natural Science Foundation of China
基金 国家自然科学基金项目(21838010)的资助。
关键词 低碳化工 智慧能源 集成优化 清洁能源 协调控制 low-carbon chemical industry smart energy system integrated optimization clean energy coordination control
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