• DocumentCode
    2652617
  • Title

    Multiobjective Optimization Model for Industrial Ecosystem Based on Input-Output Analysis: A Case Study of Combined Heat and Power Plant Eco-industrial Park

  • Author

    Jing, DU ; Chun-you, WU

  • Author_Institution
    Dalian Univ. of Technol., Dalian
  • fYear
    2007
  • fDate
    20-22 Aug. 2007
  • Firstpage
    1316
  • Lastpage
    1321
  • Abstract
    The operation of Industrial Ecosystem (IES) should benefit both profitable and environmental objectives. There should be some quantitative relationships between the two objectives among different sectors of IES. For specifying these relationships, Leontief Input-Output(I-O) analysis is an effective economic method. The framework of IES´s 1-0 analysis is developed in this paper that denotes both the value of production and the consumption of environmental resources. Based on the analysis, a multiobjective optimization model is proposed which gives attention to the economy and environment at the same time and the feasible solution procedure is provided. The case study of a Combined Heat and Power(CHP) eco-industrial park further confirms that the model will play an important role in the decision-making and evaluating of IES.
  • Keywords
    cogeneration; environmental management; industrial plants; optimisation; combined heat and power plant; decision-making; eco-industrial park; environmental resources; industrial ecosystem; input-output analysis; multiobjective optimization model; Cogeneration; Conference management; Ecosystems; Energy management; Engineering management; Environmental management; Power generation; Power generation economics; Production; Technology management; combined heat and power(CHP); industrial ecosystem(IES); input-output(I-O) analysis; multiobjective optimization model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2007. ICMSE 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-7-88358-080-5
  • Electronic_ISBN
    978-7-88358-080-5
  • Type

    conf

  • DOI
    10.1109/ICMSE.2007.4422027
  • Filename
    4422027