数据包络分析
高效能源利用
能源消耗
随机前沿分析
环境经济学
过程(计算)
非参数统计
能源会计
可用能
计算机科学
经济
火用
工程类
计量经济学
工艺工程
生产(经济)
数学优化
数学
微观经济学
电气工程
操作系统
作者
Hongming Na,Tao Du,Wenqiang Sun,Jianfei He,Jingchao Sun,Yuxing Yuan,Ziyang Qiu
摘要
To promote the sustainable development of the iron and steel industry (ISI), evaluation methods and influencing factors of energy efficiency have been studied in the past decades. A systematic review of these methodologies and influencing factors is presented in this paper. Initially, this paper states the development, current situation, and energy consumption of the world's ISI. Then, the definition of energy efficiency is described. After that, the evaluation methods are categorized as single-factor methods (including these indicators of thermodynamic, thermos-physical, thermo-economic, and economic) and multifactor methods (including parametric and nonparametric methods). Furthermore, typical evaluation methods are highlighted. Thermal analysis method and exergy analysis method are routinely combined to optimize the energy utilization. Data envelopment analysis (DEA) and stochastic frontier analysis (SFA) are widely concerned and well developed to gain a better economic benefit. Malmquist index method is often associated with DEA to analyze the technical process and return to scale. Some emerging methods are proposed, for example, the three-stage DEA method together with DEA and SFA. Finally, the influencing factors of energy efficiency in the ISI are discussed, including industrial structure, technological level, energy consumption structure, price, and so on. It is suggested that optimizing energy structure and improving technology level are effective measures to improve the energy efficiency in the ISI.
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