摘要
二氧化碳捕集、利用与封存(CCUS)作为一项有望实现化石能源大规模低碳利用的新兴技术,是未来实现碳中和目标不可或缺的关键性技术之一。在CCUS全流程系统中,二氧化碳输送在碳捕集与封存中起着至关重要的作用。管道作为一种经济、便捷的载体,在二氧化碳的输送方面具有巨大的优势,是实现陆上大规模、长距离、低成本运输的首选。根据输送相态的不同,二氧化碳管道输送可分为气相、液相、密相和超临界相态输送四种方式。通过从工艺流程、管道设计、风险与安全等三方面对二氧化碳管道输送的发展进行系统综述,结果表明,尽管二氧化碳管道和天然气管道有很多相似之处,但由于气体组成和输送目的地不同,工艺流程和管道设计等方面还是有很大不同。随着计算机科学的快速发展,人工智能及数字孪生等一些跨学科运用将推动二氧化碳管道技术的发展。
Carbon capture,utilization and storage(CCUS),as an emerging technology that is expected to achieve large-scale low-carbon utilization of fossil energy,is one of the indispensable key technologies to achieve carbon neutrality in the future.Carbon dioxide transport plays a crucial role in carbon capture and storage(CCS)in CCUS whole-process system.As an economical and convenient carrier,pipeline has great advantages in carbon dioxide transport,and it is the first choice to achieve large-scale,long-distance and low-cost transportation on land.According to different transport phase,carbon dioxide pipeline transport can be divided into gas phase,liquid phase,dense phase and supercritical phase transport.The development of carbon dioxide pipeline transportation is systematically reviewed from the aspects of process flow,piping design,and risk and security.The results show that although there are many similarities between carbon dioxide pipeline and natu-ral gas pipeline,their process flow and piping design are very different due to the differences in gas compo-sition and transportation destination.With the rapid development of computer science,some interdisciplinary ap-plications such as artificial intelligence and digital twin will promote the development of carbon dioxide pipeline technology.
作者
高宇飞
张力婕
Gao Yufei;Zhang Lijie(Guilin University of Electronic Technology,Nanning Guangxi 541010;Sinopec(Dalian)Research Institute of Petroleum and Petrochemical Co.,Ltd.,Dalian Liaoning 116045)
出处
《中外能源》
CAS
2024年第2期84-91,共8页
Sino-Global Energy
关键词
管道输送
工艺流程
管道设计
风险与安全
pipeline transportation
process flow
piping design
risk and security
作者简介
高宇飞,桂林电子科技大学机电工程学院机械工程专业2021级在读硕士研究生,主要研究方向为优化设计、智能制造。E-mail:804996148@qq.com。
