Tracking industrial energy efficiency trends using index decomposition analysis

被引:72
|
作者
Ang, B. W. [1 ]
Xu, X. Y. [1 ]
机构
[1] Natl Univ Singapore, Dept Ind & Syst Engn, Singapore 119260, Singapore
关键词
Index decomposition analysis; Energy indicators; Industrial energy; Energy efficiency; LMDI; CO2; EMISSIONS; INTENSITY; INDICATORS; NETHERLANDS; IRON;
D O I
10.1016/j.eneco.2013.05.014
中图分类号
F [经济];
学科分类号
02 ;
摘要
Index decomposition analysis (IDA) has been widely used to track economy-wide and sectoral energy efficiency trends. An integral part of this application is identifying the drivers of energy use for the energy consuming sector studied. In the case of industry, a monetary activity indicator such as value added is often taken as the driver. With the availability of physical production data for some industry subsectors, such as in tonnes or cubic meters, effort has been made by researchers to incorporate physical activity indicators in order to produce results that can better capture energy efficiency trends. We review and consolidate two different approaches to incorporating physical activity indicators in industrial energy studies using IDA. Based on their underlying concept, they are referred to as the intensity refactorization (IR) approach and the activity revaluation (AR) approach. We refine the AR approach, and compare the AR, IR, and the conventional monetary-based IDA approaches. Numerical examples and recommendations are presented. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:1014 / 1021
页数:8
相关论文
共 50 条
  • [1] Estimates of energy savings from energy efficiency improvements in India using Index Decomposition Analysis
    Jain, Manisha
    [J]. ENERGY FOR SUSTAINABLE DEVELOPMENT, 2023, 74 : 285 - 296
  • [2] Towards Industrial Energy Efficiency Index
    Dolge, Kristiana
    Kubule, Anna
    Rozakis, Stelios
    Gulbe, Inga
    Blumberga, Dagnija
    Krievs, Oskars
    [J]. ENVIRONMENTAL AND CLIMATE TECHNOLOGIES, 2020, 24 (01) : 419 - 430
  • [3] Industrial energy demand, a forecasting model based on an index decomposition of structural and efficiency effects
    Lescaroux, Francois
    [J]. OPEC ENERGY REVIEW, 2013, 37 (04) : 477 - 502
  • [4] Measuring improvements in industrial energy efficiency: A decomposition analysis applied to the UK
    Norman, Jonathan B.
    [J]. ENERGY, 2017, 137 : 1144 - 1151
  • [5] Accounting frameworks for tracking energy efficiency trends
    Ang, B. W.
    Mu, A. R.
    Zhou, P.
    [J]. ENERGY ECONOMICS, 2010, 32 (05) : 1209 - 1219
  • [6] Energy-Efficiency Index in Industrial Wastewater Treatment Plants Using Data-Envelopment Analysis
    Saghafi, Sahar
    Ebrahimi, Atieh
    Mehrdadi, Naser
    Bidhendy, Gholamreza Nabi
    [J]. JOURNAL OF ENVIRONMENTAL ENGINEERING, 2020, 146 (02)
  • [7] Analysing residential energy consumption using index decomposition analysis
    Xu, X. Y.
    Ang, B. W.
    [J]. APPLIED ENERGY, 2014, 113 : 342 - 351
  • [8] Energy Efficiency of Turkish Energy Sector: Extended Analysis of Logarithmic Mean Divisia Index Decomposition
    Selcuk, Isil Sirin
    [J]. SOSYOEKONOMI, 2018, 26 (37) : 127 - 145
  • [9] Study on industrial energy saving index decomposition in Hebei province
    Li, Guozhu
    Niu, Jiangao
    [J]. MANUFACTURE ENGINEERING AND ENVIRONMENT ENGINEERING, VOLS 1 AND 2, 2014, 84 : 619 - 624
  • [10] Energy Efficiency Tracking in Thai Manufacturing Sector by Decomposition Technique
    Wongsapai, Wongkot
    Phuangyod, Atchariya
    Damrongsak, Det
    [J]. 2016 3RD INTERNATIONAL CONFERENCE ON MANUFACTURING AND INDUSTRIAL TECHNOLOGIES, 2016, 70