• DocumentCode
    2917467
  • Title

    Optimal Analysis of Energy Utilization in Typical Heavy Industry Areas: A Case Study for Shenyang

  • Author

    Chengkang, Gao ; Ruihua, Gao ; Jiuju, Cai ; Weiguang, Zhu

  • Author_Institution
    SEPA Key Lab. on Eco-Ind., Northeastern Univ., Shenyang, China
  • fYear
    2011
  • fDate
    19-20 Feb. 2011
  • Firstpage
    533
  • Lastpage
    536
  • Abstract
    This paper analyzes the current energy utilization in typical heavy industry areas of China, and identified some gaps between China and developed countries. Based on the characteristics of heavy industrial cities in China and energy utilization value coefficient, this paper comprehensively adopts multi-objective programming and analytic hierarchy process (AHP) to optimize the cities´ energy allocation. In the case study for Shenyang city, four kinds of allocation scenarios on energy utilization are formed in accordance with energy allocation modes and different constraint functions. Combined with the current situation and comparisons of the four scenarios, the results show that it can meet the maximum energy coefficient, 1.687100, when weights of energy allocation is 0.2/2.03/0.77 in the primary, secondary and tertiary industries. Meanwhile, the huge space of tertiary industry should be vigorously explored and developed in order to relieve the negative effect of high consumption and low output on energy utilization, and eventually, to make scenario 4 help promote sustainable utilization of energy in Shenyang, based on which, more scientific and practicing advice on optimal energy utilization can be put forward.
  • Keywords
    decision making; energy consumption; machinery production industries; optimisation; sustainable development; China; Shenyang city; analytic hierarchy process; developed countries; energy allocation; energy consumption; energy utilization value coefficient; maximum energy coefficient; multiobjective programming; optimal analysis; sustainable energy utilization; typical heavy industry areas; Computers; Decision support systems; Distributed control; IP networks; Monitoring; energy allocation allocation; heavy industry city; multi-objective programming; optimal scenarios;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-61284-278-3
  • Electronic_ISBN
    978-0-7695-4350-5
  • Type

    conf

  • DOI
    10.1109/CDCIEM.2011.52
  • Filename
    5747874