202001
京津冀地区一钢铁企业能耗和温室气体核查分析
张世强1，马秀琴1，郭铭昕1，张宁2
（1. 河北工业大学能源与环境工程学院，天津 300401；2. 天津市环境保护科学研究院，天津 300191）
摘要： 钢铁工业是资源和能源密集型工业，需要消耗大量的化石能源，导致温室气体大量排放。根据京津冀地区钢
铁行业的发展现状，对温室气体核查方法进行了研究，对京津冀地区的一家重点钢铁生产企业进行了能耗调研，识别了
该企业CO2的排放源，利用开发的方法学进行了量化计算。核查可知，该企业2018 年炼焦、烧结、炼铁、炼钢和钢材
深加工环节CO2的排放量分别为-6.40京津冀地区一钢铁企业能耗和温室气体核查分析
张世强1，马秀琴1，郭铭昕1，张宁2
（1. 河北工业大学能源与环境工程学院，天津300401；2. 天津市环境保护科学研究院，天津300191）
摘要： 钢铁工业是资源和能源密集型工业，需要消耗大量的化石能源，导致温室气体大量排放。根据京津冀地区钢
铁行业的发展现状，对温室气体核查方法进行了研究，对京津冀地区的一家重点钢铁生产企业进行了能耗调研，识别了
该企业CO2的排放源，利用开发的方法学进行了量化计算。核查可知，该企业2018 年炼焦、烧结、炼铁、炼钢和钢材
深加工环节CO2的排放量分别为-6.40×104 t、7.574×105 t、1.596 3×106 t、-2.655×105 t、8.475×105 t，其工业生产过程
排放量为5.970×105 t，固碳产品隐含的排放量为1.773×105 t。活动水平数据的不确定性为±3.54%，属于高精度等级。
研究可以帮助钢铁生产企业核查其各个环节的温室气体排放量，挖掘减排潜力，促进钢铁行业低碳转型。
关键词： 企业能耗；温室气体核查；节能减排；不确定性；减排潜力
中图分类号：X322 文献标识码：A 文章编号：2095-0802-(2020)01-0079-03
Energy Consumption and Greenhouse Gas Verification Analysis of an Iron and Steel Enterprise
in Beijing-Tianjin-Hebei Region
ZHANG Shiqiang1, MA Xiuqin1, GUO Mingxin1, ZHANG Ning2
(1. School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China;
2. Tianjin Academy of Environmental Sciences, Tianjin 300191, China)
Abstract: The iron and steel industry is a resource and energy intensive industry, which needs to consume a lot of fossil energy,
resulting in a large number of greenhouse gas emissions. According to the development status of iron and steel industry in
Beijing-Tianjin-Hebei Region, this paper studied the greenhouse gas verification method, investigated the energy consumption of
a key iron and steel production enterprise in Beijing-Tianjin-Hebei Region, identified the CO2 emission source of the enterprise,
and made quantitative calculation by using the development methodology. It can be seen from the verification that in 2018, the
CO2 emissions of coking, sintering, iron making, steel making and steel deep processing links of the enterprise were -6.40×104 t,
7.574×105 t, 1.596 3×106 t, -2.655×105 t and 8.475×105 t respectively, and the emissions of its industrial production process were
5.970×105 t, and the implicit emissions of carbon fixation products were 1.773×105 t. The uncertainty of activity level data is ±3.54%,
which belongs to high precision level. This study can help iron and steel enterprises to check their greenhouse gas emissions in all
aspects, tap the emission reduction potential, and promote the low-carbon transformation of the iron and steel industry.
Key words: enterprise energy consumption; greenhouse gas verification; energy conservation and emission reduction; uncertainty;
emission reducing potential
