• DocumentCode
    2911510
  • Title

    Grey incidence analysis of energy utilization efficiency

  • Author

    Yan-hui, Chen ; Si-feng, Liu ; Zheng-dong, Xu ; Jian-jun, Hu

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    243
  • Lastpage
    247
  • Abstract
    Energy problem is universally concerned all over the world. Over the years, as China paid more attention on energy problem seriously, China´s energy consumption per unit GDP has decreased continually, but there is still a big gap between China and the developed countries, especially in the last five years, energy consumption per unit GDP fell slowly. To further improve the efficiency of energy use, the paper selects a number of factors, such as industrial structure deviation co-efficiency and energy conversion and processing rate, which are relevant to energy consumption per unit GDP of China. Through three grey incidence calculations (Deng´s grey incidence, absolute degree of grey incidence and modified absolute degree of grey incidence) between energy consumption per unit GDP and each factor, we identified the most relative factors, and we further turn for the methods of improving energy use efficiency in China by researching these factors. Three calculation methods supply the same conclusion, which is energy prices is not a particularly significant impact on energy efficiency improvement.
  • Keywords
    energy conservation; energy consumption; grey systems; energy consumption; energy conversion; energy utilization efficiency; grey incidence analysis; industrial structure deviation coefficiency; Economic indicators; Energy consumption; Energy conversion; Energy efficiency; Environmental economics; Intelligent systems; National security; Petroleum; Power generation economics; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443274
  • Filename
    4443274