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中南大学学报(英文版)

Journal of Central South University

Vol. 24    No. 2    February 2017

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A process-level hierarchical structural decomposition analysis (SDA) of energy consumption in an integrated steel plant
LIU Xiao-jun(刘骁浚), LIAO Sheng-ming(廖胜明), RAO Zheng-hua(饶政华), LIU Gang(刘刚)

School of Energy Science and Engineering, Central South University, Changsha 410083, China

Abstract:A hierarchical structural decomposition analysis (SDA) model has been developed based on process-level input-output (I-O) tables to analyze the drivers of energy consumption changes in an integrated steel plant during 2011-2013. By combining the principle of hierarchical decomposition into D&L method, a hierarchical decomposition model for multilevel SDA is obtained. The developed hierarchical IO-SDA model would provide consistent results and need less computation effort compared with the traditional SDA model. The decomposition results of the steel plant suggest that the technology improvement and reduced steel final demand are two major reasons for declined total energy consumption. The technical improvements of blast furnaces, basic oxygen furnaces, the power plant and the by-products utilization level have contributed mostly in reducing energy consumption. A major retrofit of ancillary process units and solving fuel substitution problem in the sinter plant and blast furnace are important for further energy saving. Besides the empirical results, this work also discussed that why and how hierarchical SDA can be applied in a process-level decomposition analysis of aggregated indicators.

 

Key words: structural decomposition analysis; input-output table; energy consumption; embodied energy; integrated steel plant

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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