PDF《第32 卷第 5 期》

第32 卷第

5 期2012 年5月环境科学学报Acta Scientiae Circumstantiae Vol.

32,No.

5 May,

2012 基金项目: 美国能源基金会中国可持续能源项目(No. G-0911-11642);

环境保护行业性公益项目(No. 201009051) Supported by the China Sustainable Energy Program of Energy Foundation(No. G-0911-11642) and the Environmental Protection Gongyi Project (No. 201009051) 作者简介: 毛显强(1970―),男,教授(博士),E-mail:maoxq@ bnu. edu. cn;

?通讯作者(责任作者) Biography: MAO Xianqiang(1970―),male,professor(Ph. D. ),E-mail: maoxq@ bnu. edu. cn;

?Corresponding author 毛显强,曾桉,刘胜强,等. 2012. 钢铁行业技术减排措施硫、氮、碳协同控制效应评价研究[J]. 环境科学学报,32(5):1253-1260 Mao X Q,Zeng A, Liu S Q, et al. 2012. Assessment of SO2 , NOx and CO2 co-control effects by technological reduction measures in iron &

steel industry [J]. Acta Scientiae Circumstantiae,32(5):1253-1260 钢铁行业技术减排措施硫、氮、碳协同控制效应评价 研究 毛显强1,? ,曾桉1 ,刘胜强1 ,胡涛2 , 邢有凯1 1. 北京师范大学环境学院,北京

100875 2. 环境保护部环境与经济政策研究中心,北京

100029 收稿日期:2011-07-02 修回日期:2011-08-16 录用日期:2011-09-01 摘要:随着我国污染减排形势的日趋严峻,在高污染行业采用协同控制措施实现多种污染物控制目标不仅十分必要而且非常迫切,而合理评价 减排措施的协同控制效应是实施协同控制的基础. 基于此,本研究从环境-经济-技术角度系统地提出了钢铁行业技术减排措施对硫、氮、碳的 协同控制效应评价方法,包括:协同控制效应坐标系分析、污染物减排量交叉弹性(Elsa/ b )分析和单位污染物减排成本评价,3 种评价方法相互 配合,可以从多角度检验不同减排措施的协同控制效应. 协同控制效应坐标系和污染物减排量交叉弹性分析的结果表明,末端治理措施不具有 协同控制效应或协同控制效应不佳,而绝大多数过程控制措施都具有较好的协同控制效应. 单位污染物减排成本评价的结果表明,末端治理措 施优先度排序靠后,而过程控制措施排序靠前,且针对不同污染物的排序结果有所不同. 在进行钢铁行业协同减排方案设计和规划时,应根据 决策需要选择适宜的评价方法,参考评价结果选择最为成本有效的措施. 关键词:多污染物控制;

协同控制效应坐标系;

污染物减排量交叉弹性;

成本-效果评价 文章编号:0253-2468(2012)05-1253-08 中图分类号:X192 文献标识码:A Assessment of SO2 , NOx and CO2 co-control effects by technological reduction measures in iron &

steel industry MAO Xianqiang1,? ,ZENG An1 , LIU Shengqiang1 , HU Tao2 ,XING Youkai1 1. School of Environment,Beijing Normal University,Beijing

100875 2. Policy Research Center for Environment and Economy,Ministry of Environmental Protection,Beijing

100029 Received

2 July 2011;

received in revised form

16 August 2011;

accepted

1 September

2011 Abstract: As the situation of pollution control becoming pressing in China, it is not only necessary but also urgent to take co-control measures to obtain multi-pollutant control target. Development and application of the right assessment methods to evaluate the co-control effects of emission reduction measures is the basis of choosing the best available reduction measures and implementing co-control. Innovative and systematic methods are proposed to assess SO2 , NOx and CO2 co-control effects by technological reduction measures in iron &