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Review of methodologies and polices for evaluation of energy efficiency in high energy-consuming industry

机译:审查高耗能行业能效评估的方法和政策

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摘要

Energy efficiency of high energy-consuming industries plays a significant role in social sustainability, economic performance and environmental protection of any nation. In order to evaluate the energy efficiency and guide the sustainability development, various methodologies have been proposed for energy demand management and to measure the energy efficiency performance accurately in the past decades. A systematical review of these methodologies are conducted in the present paper. First, the classification of the industrial energy efficiency index has been summarized to track the previous application studies. The single measurement indicator and the composite index benchmarking are highly recognized as the modeling tools for power industries and policy-making in worldwide countries. They are the pivotal figures to convey the fundamental information in energy systems for improving the performance in fields such as economy, environment and technology. Second, the six factors that influence the energy efficiency in industry are discussed. Third, four major evaluation methodologies of energy efficiency are explained in detail, including stochastic frontier analysis, data envelopment analysis, exergy analysis and benchmarking comparison. The basic models and the developments of these methodologies are introduced. The recent utilization of these methodologies in the energy efficiency evaluations are illustrated. Some drawbacks of these methodologies are also discussed. Other related methods or influential indicators for measuring energy efficiency performance have also been presented. Finally, the related polices and suggestions based on the energy efficiency evaluations are provided. (C) 2016 Published by Elsevier Ltd.
机译:高耗能行业的能源效率在任何国家的社会可持续性,经济绩效和环境保护中都发挥着重要作用。为了评估能效并指导可持续发展,在过去的几十年中,已经提出了各种方法来进行能源需求管理并准确地测量能效表现。本文对这些方法进行了系统的综述。首先,总结了工业能效指数的分类,以跟踪先前的应用研究。单一测量指标和综合指数基准测试被公认为世界各国电力行业和政策制定的建模工具。它们是在能源系统中传达基本信息以提高经济,环境和技术等领域的绩效的关键人物。其次,讨论了影响工业能源效率的六个因素。第三,详细解释了四种主要的能效评估方法,包括随机前沿分析,数据包络分析,火用分析和基准比较。介绍了这些方法的基本模型和发展。说明了这些方法在能效评估中的最新应用。还讨论了这些方法的一些缺点。还介绍了用于测量能效表现的其他相关方法或影响性指标。最后,基于能效评估提供了相关的政策和建议。 (C)2016由Elsevier Ltd.出版

著录项

  • 来源
    《Applied Energy》 |2017年第1期|203-215|共13页
  • 作者

    Li Ming-Jia; Tao Wen-Quan;

  • 作者单位

    Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China;

    Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermofluid Sci & Engn, Xian 710049, Shaanxi, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Energy efficiency evaluation; Model; High energy-consuming industry; Policy;

    机译:能源效率评估;模型;高耗能行业;政策;

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