Review of evaluation methodologies and influencing factors for energy efficiency of the iron and steel industry

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
出处
期刊:International Journal of Energy Research [Wiley]
卷期号:43 (11): 5659-5677 被引量:38
标识
DOI:10.1002/er.4623
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
son发布了新的文献求助10
刚刚
Criminology34应助Crab采纳,获得10
2秒前
2秒前
大模型应助归雁采纳,获得10
3秒前
Fi9zero发布了新的文献求助30
4秒前
4秒前
香蕉觅云应助han123123采纳,获得10
5秒前
莫西莫西发布了新的文献求助10
5秒前
嗯嗯发布了新的文献求助10
6秒前
peekaboo完成签到,获得积分10
7秒前
8秒前
郑传伟发布了新的文献求助10
10秒前
10秒前
11秒前
故酒应助嗯嗯采纳,获得10
13秒前
爆米花应助Catalysis123采纳,获得10
14秒前
赘婿应助忧郁的砖家采纳,获得10
15秒前
jiuwu完成签到,获得积分10
15秒前
橘子29发布了新的文献求助10
16秒前
16秒前
teamguichu完成签到 ,获得积分10
17秒前
19秒前
小蘑菇应助一一采纳,获得10
20秒前
20秒前
香蕉书兰完成签到,获得积分20
21秒前
哈哈哈完成签到,获得积分20
21秒前
陶佳仪发布了新的文献求助10
22秒前
hsj完成签到,获得积分10
22秒前
Jiang发布了新的文献求助10
23秒前
HMLM完成签到,获得积分10
24秒前
传奇3应助胡豆豆采纳,获得10
25秒前
子舆完成签到 ,获得积分10
25秒前
哈哈哈发布了新的文献求助10
25秒前
Jasper应助琪求好运采纳,获得10
26秒前
lalala发布了新的文献求助10
27秒前
28秒前
Lis发布了新的文献求助10
28秒前
30秒前
唐俊杰完成签到,获得积分10
30秒前
31秒前
高分求助中
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
哈工大泛函分析教案课件、“72小时速成泛函分析:从入门到入土.PDF”等 660
Learning and Motivation in the Classroom 500
Theory of Dislocations (3rd ed.) 500
Comparing natural with chemical additive production 500
The Leucovorin Guide for Parents: Understanding Autism’s Folate 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5224818
求助须知:如何正确求助?哪些是违规求助? 4396749
关于积分的说明 13684880
捐赠科研通 4261194
什么是DOI,文献DOI怎么找? 2338338
邀请新用户注册赠送积分活动 1335711
关于科研通互助平台的介绍 1291564