东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (10): 1438-1441.DOI: -

• 材料与冶金 • 上一篇    下一篇

1995~2010年中国钢铁工业能源消耗影响因素分析

蔡九菊,叶竹,孙文强   

  1. (东北大学国家环境保护生态工业重点实验室,辽宁沈阳110819)
  • 收稿日期:2013-03-25 修回日期:2013-03-25 出版日期:2013-10-15 发布日期:2013-05-24
  • 通讯作者: 蔡九菊
  • 作者简介:蔡九菊(1948-),男,辽宁锦州人,东北大学教授,博士生导师.
  • 基金资助:
    辽宁省教育厅科学技术研究项目(L2012082).

Analysis of Influence Factors on Energy Consumption in Chinese Steel Industry from 1995 to 2010

CAI Jiuju, YE Zhu, SUN Wenqiang   

  1. SEP Key Laboratory of EcoIndustry, Northeastern University, Shenyang 110819, China.
  • Received:2013-03-25 Revised:2013-03-25 Online:2013-10-15 Published:2013-05-24
  • Contact: SUN Wenqiang
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摘要: 基于1995~2010年中国钢铁工业能源消耗及钢产量数据,采用对数平均迪氏分解法对中国钢铁工业能源消耗进行因素分解,包括能源消费结构、吨钢能耗和钢产量.结果显示,1995~2010年中国钢铁工业能源消耗总体上升了3596700tce,其中钢产量变化对其影响作用最大,贡献率为15750%,吨钢能耗的影响次之,为-5753%,能源消费结构对其影响作用最小,仅为003%.降低吨钢能耗是降低钢铁工业能源消耗的关键措施,2010年吨钢能耗较1995年降低40435kgce/t钢,其中钢比系数贡献率为2937%,工序能耗贡献率高达7063%.

关键词: 钢铁工业, 能源消耗, 对数平均迪氏分解法, 钢产量, 吨钢能耗, 能源消费结构

Abstract: Based on the data of energy consumption and steel production of Chinese steel industry from 1995~2010, factor decomposition was conducted to analyze energy consumption by using logarithmic mean Divisia index method, including energy consumption structure, energy consumption per ton of crude steels and production. The results showed that energy consumption increased 3596700tce in total from 1995 to 2010. The variety steel production contributed the biggest part of the steel industry energy consumption, accounting for 15750%. The energy consumption per ton of crude steel took second place on the contribution of the energy consumption, accounting for -5753%. The last effect part was energy structure, which only contributed for 003% of the energy consumption. Thus, it is a key method to realize energy conservation by decreasing the energy consumption per ton of crude steels. There was a drop of 40435kgce/t of the energy consumption per ton of crude steels from 1995 to 2010, among which 2937% and 7063% of the drop came from steel ratio coefficients and process energy consumption, respectively.

Key words: steel industry, energy consumption, logarithmic mean Divisia index method, steel production, energy consumption per ton of crude steel, energy consumption structure

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