globalchange  > 气候变化与战略
CSCD记录号: CSCD:5380803
论文题名:
炼油厂CO_2分离技术的研究
其他题名: CO_2 separation technologies in oil refineries
作者: 宋倩倩; 蒋庆哲; 宋昭峥
刊名: 现代化工
ISSN: 0253-4320
出版年: 2015
卷: 35, 期:3, 页码:171-174
语种: 中文
中文关键词: 炼油厂 ; 减排 ; CO_2分离技术 ; 化学吸收法 ; 膜吸收法 ; PSA法
英文关键词: petroleum refineries ; emission reduction ; CO_2 separation technologies ; chemical absorption ; membrane absorption ; PSA
WOS学科分类: ENGINEERING CHEMICAL
WOS研究方向: Engineering
中文摘要: 对可能终端应用的CO_2分离技术进行了简要概述,同时结合我国炼油厂烟道气的特点,筛选出3种适合我国炼油厂的可行的分离技术,即适合回收低浓度CO_2的化学吸收法和膜吸收法,适合回收制氢尾气的变压吸附法(PSA法),并进行了系统阐述。根据我国炼油厂碳排放现状,提出了相应的发展建议。
英文摘要: To ease global warming, CO_2 emissions from large sources must be limited. The petroleum refining industry as one of the largest contributors to anthropogenic CO_2 emission is forced to implement CO_2 mitigation measures. At present,CO_2 separation from point source emissions has been recognized as one of several strategies necessary for mitigating unfettered release of greenhouse gases (GHGs) into the atmosphere. Therefore,the possible CO_2 separation technologies for end-of-pipe applications are briefly reviewed. According to the characteristics of flue gas from the refineries in China, three feasible CO_2 separation technologies are selected, such as the chemical absorption and membrane absorption methods for low concentration flue gas and pressure swing adsorption (PSA) for off gases of hydrogen manufacturing unit. Based on the current status of CO_2 emission from petroleum refineries in China, some suggestions are proposed as well.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/150065
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: (北京)中国石油大学, 重质油国家重点实验室, 北京 102249, 中国

Recommended Citation:
宋倩倩,蒋庆哲,宋昭峥. 炼油厂CO_2分离技术的研究[J]. 现代化工,2015-01-01,35(3):171-174
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[宋倩倩]'s Articles
[蒋庆哲]'s Articles
[宋昭峥]'s Articles
百度学术
Similar articles in Baidu Scholar
[宋倩倩]'s Articles
[蒋庆哲]'s Articles
[宋昭峥]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[宋倩倩]‘s Articles
[蒋庆哲]‘s Articles
[宋昭峥]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.