• DocumentCode
    2991009
  • Title

    Study on the optimal control model for industrial ecosystem

  • Author

    Zhang Chang-rong ; Xue Hui-feng ; Wang Feng

  • Author_Institution
    Sch. of Econ. & Manage., Northwest Univ., Xi´an, China
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    302
  • Lastpage
    312
  • Abstract
    Industrial ecosystem is one of the basic ways for industry to realizing circular economy. Industrial ecosystem is a complex artificial system which is composed of many enterprises in accordance with a certain amount of material and energy coupling. Its characteristics and complexity determine that the good running of industrial ecosystem requires not only good planning and integration, but also effective management and control. According to the optimal control theory, systems thinking and the methods of systems engineering, this paper sets up an optimal control model for industrial ecosystem which goals are to improving the efficiency of resources use, reducing the emission of pollutants, and protecting the ecological environment. This paper uses the case of the industrial ecosystem of Jinjie Eco-industrial Park to simulate it. And the simulate results proves that the model is feasibility and operability.
  • Keywords
    air pollution control; discrete time systems; ecology; industrial economics; industrial pollution; optimal control; organisational aspects; planning; systems engineering; Jinjie eco-industrial park; artificial system; circular economy; discrete time systems; energy coupling; enterprises; industrial ecosystem; optimal control model; pollutant emission reduction; resource usage efficiency improvement; systems engineering; Biological system modeling; Ecosystems; Industries; Mathematical model; Optimal control; Production; Solids; Eco-industrial Park; control; environment; industrial ecosystem; management; optimal control model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2012 International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4673-3015-2
  • Type

    conf

  • DOI
    10.1109/ICMSE.2012.6414198
  • Filename
    6414198